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Referencias

Campbell 2014 {published data only}

Calitri R, Warren FC, Wheeler B, Chaplin K, Fletcher E, Murdoch J, et al. Distance from practice moderates the relationship between patient management involving nurse telephone triage consulting and patient satisfaction with care. Health & Place 2015;34:92‐96. CENTRAL
Campbell JL, Fletcher E, Britten N, Green C, Holt T, Lattimer V, et al. The clinical effectiveness and cost‐effectiveness of telephone triage for managing same‐day consultation requests in general practice: a cluster randomised controlled trial comparing general practitioner‐led and nurse‐led management systems with usual care (the ESTEEM trial). Health Technology Assessment (Winchester, England) 2015;19:1‐212, vii‐viii. CENTRAL
Campbell JL, Fletcher E, Britten N, Green C, Holt TA, Lattimer V, et al. Telephone triage for management of same‐day consultation requests in general practice (the ESTEEM trial): a cluster randomised controlled trial and cost‐consequence analysis. The Lancet 2014;384:1859‐68. [DOI: http://dx.doi.org/10.1016/S0140‐6736(14)61058‐8]CENTRAL
Holt TA, Fletcher E, Warren F, Richards S, Salisbury C, Calitri R, et al. Telephone triage systems in UK general practice: analysis of consultation duration during the index day in a pragmatic randomised controlled trial. British Journal of General Practice 2016;66:e214‐8. CENTRAL
Warren FC, Calitri R, Fletcher E, Varley A, Holt TA, Lattimer V, et al. Exploring demographic and lifestyle associations with patient experience following telephone triage by a primary care doctor or nurse: secondary analyses from a cluster randomised controlled trial. BMJ Quality & Safety 2015;24:572‐82. CENTRAL

Chambers 1978 {published data only}

Chambers LW, West AE. St John's randomized trial of the family practice nurse: health outcomes of patients. International Journal of Epidemiology 1978;7(2):153‐61. [DOI: 10.1093/ije/7.2.153]CENTRAL

Chan 2009 {published data only}

Chan D, Harris S, Roderick P, Brown D, Patel P. A randomised controlled trial of structured nurse‐led outpatient clinic follow‐up for dyspeptic patients after direct access gastroscopy. BMC Gastroenterology 2009;9:12. [DOI: 10.1186/1471‐230X‐9‐12]CENTRAL

Dierick‐van Daele 2009 {published data only}

Dierick‐van Daele AT, Metsemakers JF, Derckx EW, Spreeuwenberg C, Vrijhoef HJ. Nurse practitioners substituting for general practitioners: randomized controlled trial. Journal of Advanced Nursing 2009;65(2):391‐401. [DOI: 10.1111/j.1365‐2648.2008.04888.x]CENTRAL
Dierick‐van Daele AT, Steuten LM, Metsemakers JF, Derckx EW, Spreeuwenberg C, Vrijhoef HJ. Economic evaluation of nurse practitioners versus GPS in treating common conditions. British Journal of General Practice 2010;60(570):e28‐e35. [DOI: http://dx.doi.org/10.3399/bjgp10X482077]CENTRAL

Hemani 1999 {published data only}

Hemani A, Rastegar DA, Hill C, Al‐Ibrahim MS. A comparison of resource utilization in nurse practitioners and physicians. Effective Clinical Practice 1999;2(6):258‐65. [PUBMED: 10788023]CENTRAL

Houweling 2011 {published data only}

Houweling ST, Kleefstra N, van Hateren KJJ, Groenier KH, Meyboomde Jong B, Bilo HJG. Can diabetes management be safely transferred to practice nurses in a primary care setting? A randomised controlled trial. Journal of Clinical Nursing 2011;20:1264–72. [DOI: 10.1111/jan.12120]CENTRAL

Iglesias 2013 {published data only}

Iglesias B, Ramos F, Serrano B, Fàbregas M, Sánchez C, Garcíam J, et al. A randomized controlled trial of nurses vs. doctors in the resolution of acute disease of low complexity in primary care. Journal of Advanced Nursing 2013;69(11):2446–57. [DOI: 10.1111/jan.12120]CENTRAL

Larsson 2014 {published data only}

Larsson I, Fridlund B, Arvidsson B, Teleman A, Bergman S. Randomized controlled trial of a nurse‐led rheumatology clinic for monitoring biological therapy. Journal of Advanced Nursing 2013;70(1):164–75. [DOI: 10.1111/jan.12183]CENTRAL
Larsson I, Fridlund B, Arvidsson B, Teleman A, Svedberg P, Bergman S. A nurse‐led rheumatology clinic versus rheumatologist‐led clinic in monitoring of patients with chronic inflammatory arthritis undergoing biological therapy: a cost comparison study in a randomised controlled trial. BMC Mucoloskeletal Disorders 2015;16:354. [DOI: 10.1186/s12891‐015‐0817‐6]CENTRAL

Lattimer 1998 {published data only}

Lattimer V, George S, Thompson F, Thomas E, Mulle M, Turnbull J, et al (the South Wiltshire Out of Hours Project (SWOOP) Group). Safety and effectiveness of nurse telephone consultation in out of hours primary care: randomised controlled trial. BMJ 1998;317:1054‐9. [DOI: 10.1136/bmj.317.7165.1054]CENTRAL
Lattimer V, Sassi F, George S, Moore M, Turnbull J, Mullee M. Cost analysis of nurse telephone consultation in out of hours primary care: evidence from a randomised controlled trial. BMJ 2000;320:1053‐7. [DOI: 10.1136/bmj.320.7241.1053]CENTRAL
South Wiltshire Out of Hours Project (SWOOP) Group. Nurse telephone triage in out of hours primary care: a pilot study. BMJ 1997;314:198‐9. [PUBMED: 9022437]CENTRAL
Thompson F, George S, Lattimer V, Smith H, Moore M, Turnbull J, et al. Overnight calls in primary care: randomised controlled trial of management using nurse telephone consultation. BMJ 1999;319:1408. [DOI: 10.1136/bmj.319.7222.1408]CENTRAL

Lewis 1967 {published data only}

Lewis CE, Resnik BA. Nurse clinics and progressive ambulatory patient care. New England Journal of Medicine 1967;277:1236‐41. [DOI: 10.1056/NEJM196712072772305]CENTRAL

Moher 2001 {published data only}

Moher M, Yudkin P, Wright L, Turner R, Fuller A, Schofield T, et al. for the Assessment of Implementation Strategies (ASSIST) Trial Collaborative Group. Cluster randomised controlled trial to compare three methods of promoting secondary prevention of coronary heart disease in primary care. BMJ 2001;322:1338‐42. [DOI: 10.1136/bmj.322.7298.1338]CENTRAL

Mundinger 2000 {published data only}

Lenz ER, Mundinger MO, Hopkins SC, Lin SX, Smolowitz JL. Diabetes care processes and outcomes in patients treated by nurse practitioners or physicians. The Diabetes Educator 2002;28(4):566‐97. CENTRAL
Lenz ER, Mundinger MO, Kane RL, Hopkins SC, Lin SX. Primary care outcomes in patients treated by nurse practitioners or physicians: two‐year follow‐up. Medical Care Research and Review 2004;61:332. [DOI: 10.1177/1077558704266821]CENTRAL
Mundinger MO, Kane Rl, Lenz ER, Totten AM, Tsji WY, Cleary PD, et al. Primary care outcomes in patients treated by nurse practitioners or physicians. A randomized trial. JAMA 2000;283(1):59‐68. [DOI: 10.1001/jama.283.1.59]CENTRAL
Sox HC. Independent primary care practice by nurse practitioners. [editorial]. JAMA 2000;283(1):106‐8. [DOI: 10.1001/jama.283.1.106]CENTRAL

Ndosi 2013 {published data only}

Ndosi M, Lewis M, Hale C, Quinn H, Ryan S, Emery P, et al. The outcome and cost‐effectiveness of nurse‐led care in people with rheumatoid arthritis: a multicentre randomised controlled trial. Annals of the Rheumatic Diseases 2014;73:1975‐82. [DOI: 10.1136/annrheumdis‐2013‐203403]CENTRAL

Sanne 2010 {published data only}

Sanne I, Orrell C, Fox MP, Conradie F, Ive P, Zeinecker J, et al. CIPRA‐SA Study Team. Nurse versus doctor management of HIV‐infected patients receiving antiretroviral therapy (CIPRA‐SA): a randomised non‐inferiority trial. The Lancet 2010;376(9734):33‐40. [DOI: 10.1016/S0140‐6736(10)60894‐X]CENTRAL

Shum 2000 {published data only}

Shum C, Humphreys A, Wheeler D, Cochrane MA, Skoda S, Clement S. Nurse management of patients with minor illnesses in general practice: multicentre randomised controlled trial. BMJ 2000;320:1038‐43. [DOI: 10.1136/bmj.320.7241.1038]CENTRAL

Spitzer 1973 {published data only}

Sackett DL, Spitzer WO, Gent M, Roberts RS (in collaboration with: Hay WI, Lefroy GM, Sweeny GP. Vandervlist I, Sibley JC, Chambers LW, Goldsmith CH. Macpherson AS, McAuley RG). The Burlington randomized trial of the nurse practitioner: health outcomes of patients. Annals of Internal Medicine 1974;80:137‐42. [DOI: 10.7326/0003‐4819‐80‐2‐137]CENTRAL
Spitzer WO, Kergin DJ. Nurse practitioners in primary care. I. The McMaster University educational program. Canadian Medical Association Journal 1973;108:991‐5. [PUBMED: 1941343]CENTRAL
Spitzer WO, Roberts RS, Delmore T. Nurse practitioners in primary care. V. Development of the utilization and financial index to measure effects of their deployment. Canadian Medical Association Journal 1976;114:1099‐102. [PUBMED: 1957163]CENTRAL
Spitzer WO, Roberts RS, Delmore T. Nurse practitioners in primary care. VI. Assessment of their deployment with the utilization and financial index. Canadian Medical Association Journal 1976;114:1103‐8. [PUBMED: 1957144]CENTRAL
Sweeny GP, Ian Hay WI. The Burlington experience: a study of nurse practitioners in family practice. Canadian Family Physician 1973;19:101‐10. [PUBMED: 2371123]CENTRAL

Venning 2000 {published data only}

Venning P, Durie A, Roland M, Roberts C, Leese B. Randomised controlled trail comparing cost effectiveness of general practitioners and nurse practitioners in primary care. BMJ 2000;320:1048‐53. [DOI: 10.1136/bmj.320.7241.1048]CENTRAL

Voogdt‐Pruis 2010 {published data only}

Voogdt‐Pruis H, Beusmans G, Gorgels A, van Ree J. Adherence to a guideline on cardiovascular prevention: a comparison between general practitioners and practice nurses. International Journal of Nursing Studies 2010;48(7):798‐807. [DOI: 10.1016/j.ijnurstu.2010.11.008]CENTRAL
Voogdt‐Pruis HR, Beusmans GH, Gorgels AP, Kester AD, Van Ree JW. Effectiveness of nurse‐delivered cardiovascular risk management in primary care: a randomised trial. British Journal of General Practice 2010;60(570):40‐6. [DOI: 10.3399/bjgp10X482095]CENTRAL
Voogdt‐Pruis HR, Gorgels AP, Van Ree JW, Van Hoef EFM, Beusmans GH. Patient perceptions of nurse‐delivered cardiovascular prevention: cross‐sectional survey within a randomised trial. International Journal of Nursing Studies 2010;47:1237‐44. [DOI: 10.1016/j.ijnurstu.2010.02.013]CENTRAL

Chambers 1977 {published data only}

Black DP, Riddle RJ, Sampson E. Pilot project: the family practice nurse in a Newfoundland rural area. Canadian Medical Association Journal 1976;114:945. CENTRAL
Chambers LW, Bruce‐Lockhart P, Black DP, Sampson E, Burke M. A controlled trail of the impact of the family practice nurse on volume, quality and cost of rural health services. Medical Care 1977;XV(12):971‐81. CENTRAL

Flynn 1974 {published data only}

Flynn BC. The effectiveness of nurse clinicans service delivery. American Journal of Public Health 1974;64(6):604‐11. [DOI: 10.2105/AJPH.64.6.604]CENTRAL

Gordon 1974 {published data only}

Gordon DW. Health maintenance service: ambulatory patient care in the general medical clinic. Medical Care 1974;XII(8):648‐58. CENTRAL

Irewall 2015 {published data only}

Irewall AL, Ogren J, Bergstrom L, Laurell K, Soderstrom L, Mooe T. Nurse‐led, telephone‐based, secondary preventive follow‐up after stroke or transient ischemic attack improves blood pressure and LDL cholesterol: results from the first 12 months of the randomized, controlled NAILED stroke risk factor trial. PloS One 2015;10(10):(no pagination). CENTRAL

Kinnersley 2000 {published data only}

Kinnersley P, Anderson E, Parry K, Clement J, Arcarhd L, Turton P, et al. Randomised controlled trial of nurse practitioner versus general practitioner care for patients requesting "same day" consultations in primary care. BMJ 2000;320:1043‐8. [DOI: 10.1136/bmj.320.7241.1043]CENTRAL

Kuethe 2011 {published data only}

Kuethe M, Vaessen‐Verberne A, Mulder P, Bindels P, van Aalderen W. Paediatricasthma outpatient care by asthma nurse, paediatrician or general practitioner:Randomised controlled trial with two‐year follow‐up. Primary Care Respiratory Journal 2011;20:84–91. CENTRAL

McIntosh 1997 {published data only}

McIntosh MC, Leigh G, Baldwin NJ, Marmulak J. Reducing alcohol consumption. Comparing three brief methods in family practice. Canadian Family Physician 1997;43:1959‐67. [PUBMED: 2255191]CENTRAL

Myers 1997 {published data only}

Myers PC, Lenci B, Sheldon MG. A nurse practitioner as the first point of contact for urgent medical problems in a general practice setting. Family Practice 1997;14(6):492‐7. CENTRAL

Stein 1974 {published data only}

Stein GH. The use of a nurse practitioner in the management of patients with diabetes mellitus. Medical Care 1974;XII(10):885‐90. [PUBMED: 4437220]CENTRAL

References to studies awaiting assessment

Lewis 2016 {published data only}

Lewis H, Kunkel J, Axten D, Dalton J, Gardner H, Tippett A, et al. Community nurse‐led initiation of antiviral therapy for chronic hepatitis C in people who inject drugs does not increase uptake of or adherence to treatment. European Journal of Gastroenterology & Hepatology 2016;28:1258‐63. CENTRAL

Andryukhin 2010

Andryukhin A, Frolova E, Vaes B, Degryse J. The impact of a nurse‐led care programme on events and physical and psychosocial parameters in patients with heart failure with preserved ejection fraction: a randomized clinical trial in primary care in Russia. European Journal of General Practice 2010;16:205‐14. [DOI: 10.3109/13814788.2010.527938]

Bonsall 2008

Bonsall K, Cheater FM. What is the impact of advanced primary care nursing roles on patients, nurses and their colleagues? A literature review. International Journal of Nursing Studies 2008;45:1090‐102. [DOI: 10.1016/j.ijnurstu.2007.07.013]

Contandriopoulos 2015

Contandriopoulos D, Brousselle A, Dubois CA, Perroux M, Beaulieu MD, Brault I, et al. A process‐based framework to guide nurse practitioners integration into primary healthcare teams: results from a logic analysis. BMC Health Services Research 2015;15(1):78. [DOI: 10.1186/s12913‐015‐0731‐5]

Denver 2003

Denver EA, Barnard M, Woolfson RG, Earle KA. Management of uncontrolled hypertension in a nurse‐led clinic compared with conventional care for patients with type 2 diabetes. Diabetes Care 2003;26(8):2256‐60. [DOI: 10.2337/diacare.26.8.2256]

Du Moulin 2007

Du Moulin MF, Hamers JP, Paulus A, Berendsen CL, Halfens R. Effects of introducing a specialized nurse in the care of community‐dwelling women suffering from urinary incontinence: a randomized controlled trial. Journal of Wound, Ostomy, & Continence Nursing 2007;34:631–40. [DOI: 10.1097/01.WON.0000299814.98230.13]

Egger 1997

Egger M, Davey Smith S, Schneider M, Minder C. Bias in meta‐analysis detected by a simple, graphical test. BMJ 1997;315 (7109):629‐34.

EPOC 2017

Cochrane Effective Practice, Organisation of Care (EPOC). Suggested risk of bias criteria for EPOC reviews. EPOC Resources for Review Authors 2017. Available at epoc.cochrane.org/epoc‐specific‐resources‐review‐authors.

EQF 2016

European Qualifications Framework. https://ec.europa.eu/ploteus/content/descriptors‐page (accessed 7 February 2018).

Fairall 2012

Fairall L, Bachmann MO, Lombard C, Timmerman V, Uebel K, Zwarenstein M, et al. Task shifting of antiretroviral treatment from doctors to primary‐care nurses in South Africa (STRETCH): a pragmatic, parallel, cluster‐randomised trial. Lancet 2012;380:889–98. [DOI: 10.1016/s0140‐6736(12)60730‐2]

Freund 2015

Freund T, Everett C, Griffiths P, Naccarella L, Hudon C, Laurant M. Skill mix, roles and remuneration in the primary care workforce: who are the healthcare professionals in the primary care teams across the world?. International Journal of Nursing 2015;52:727‐43.

Ginneken 2013

van Ginneken N, Tharyan P, Lewin S, Rao GN, Meera S, Pian J, Chandrashekar S, Patel V. Non‐specialist health worker interventions for the care of mental, neurological and substance‐abuse disorders in low‐ and middle‐income countries. Cochrane Database of Systematic Reviews 2013, Issue 11. [DOI: 10.1002/14651858.CD009149.pub2]

GRADEpro GDT 2015 [Computer program]

GRADE Working Group, McMaster University. GRADEpro GDT. Hamilton (ON): GRADE Working Group, McMaster University, 2015.

Groenewegen 2015

Groenewegen P, Heinemann S, Gress S, Schafer W. Primary care practice composition in 34 countries. Health Policy 2015;119(12):1576‐83. [DOI: 10.1016/j.healthpol.2015.08.005]

Hesselink 2004

Hesselink AE, Penninx BW, van der Windt DA, van Duin BJ, de Vries P, Twisk JW, et al. Effectiveness of an education programme by a general practice assistant for asthma and COPD patients: results from a randomised controlled trial. Patient Education and Counseling 2004;55(1):121–8. [DOI: 10.1016/j.pec.2003.08.007]

Higgins 2011

Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration,2011. [www.cochrane‐handbook.org]

Hiss 2007

Hiss RG, Armbruster BA, Gillard ML, McClure LA. Nurse care manager collaboration with community‐based physicians providing diabetes care: a randomized controlled trial. The Diabetes Educator 2007;33:493–502. [DOI: 10.1177/0145721707301349]

Hollinghurst 2006

Hollinghurst S, Horrocks S, Anderson E, Salisbury C. Comparing the cost of nurse practitioners and GPs in primary care: modelling economic data from randomised trials. British Journal of General Practice 2006;56(528):530‐5.

Horrocks 2002

Horrocks S, Anderson E, Salisbury C. Systematic review of whether nurse practitioners working in primary care can provide equivalent care to doctors. BMJ 2002;324:819‐23.

Jarman 2002

Jarman B, Hurwitz B, Cook A, Bajekal M, Lee A. Effects of community based nurses specialising in Parkinson’s disease on health outcome and costs: randomised controlled trial. BMJ 2002;324:1072–5. [DOI: 10.1136/bmj.324.7345.1072]

Kernick 2000

Kernick D, Cox A, Powell R, Reinhold D, Sawkins J, Warin A. A cost consequence study of the impact of a dermatology‐trained practice nurse on the quality of life of primary care patients with eczema and psoriasis. British Journal of General Practice 2000;50:555–8. [PUBMED: 10954937]

Kernick 2002

Kernick D, Powell R, Reinhold D. A pragmatic randomised controlled trial of an asthma nurse in general practice. Primary Care Respiratory Journal 2002;11:6‐8. [11:6–8. doi:10.1038/pcrj.2002.4]

Kontopantelis 2012

Kontopantelis E, Reeves D. Performance of statistical methods for meta‐analysis when true study effects are non‐normally distributed: a simulation study.. Statistical Methods in Medical Research 2012;21(4):409‐26. [DOI: 10.1177/0962280210392008]

Kontopantelis 2013

Kontopantelis E, Springate DA, Reeves D. A re‐analysis of the Cochrane Library data: the dangers of unobserved heterogeneity in meta‐analyses. PLoS ONE 2013;8(7):e69930. [DOI: 10.1371/journal.pone.0069930]

Kooienga 2015

Kooienga SA, Carryer JB. Globalization and advancing primary health care nurse practitioner practice. Journal of Nurse Practitioner 2015;11(8):804‐11.

Kuethe 2011

Kuethe M, Vaessen‐Verberne A, Mulder P, Bindels P, van Aalderen W. Paediatric asthma outpatient care by asthma nurse, paediatrician or general practitioner: randomised controlled trial with two‐year follow‐up. Primary Care Respiratory Journal 2011;20:84–91. [DOI: 10.4104/pcrj.2011.00003]

Laurant 2009

Laurant M, Harmsen M, Wollersheim H, Grol R, Faber M, Sibbald B. The impact of nonphysician clinicians: do they improve the quality and cost‐effectiveness of health care services?. Medical Care Research and Review : MCRR 2009;66(6):36S‐89S. [DOI: 10.1177/1077558709346277]

Maier 2016b

Maier CB, Barnes H, Aiken LH, Busse R. Descriptive, cross‐country analysis of the nurse practitioner workforce in six countries: size, growth, physician substitution potential. BMJ Open 2016;6 (9):e011901. [DOI: 10.1136/bmjopen‐2016‐011901]

Martin‐Misener 2015

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Martínez‐González 2014a

Martínez‐González NA, Djalali S, Tandjung R, Huber‐Geismann F, Markun S, Wensing M, et al. Substitution of physicians by nurses in primary care: a systematic review and meta‐analysis. BMC Health Services Research 2014;14:214.

Martínez‐González 2014b

Martínez‐González NA, Tandjung R, Djalali S, Huber‐Geismann F, Markun S, Rosemann T. Effects of physician‐nurse substitution on clinical parameters: a systematic review and meta‐analysis. PLoS One 2014;9(2):e89181. [DOI: 10.1371/journal.pone.0089181]

Martínez‐González 2015a

Martínez‐González NA, Tandjung R, Djalali S, Rosemann T. The impact of physician‐nurse task shifting in primary care on the course of disease: a systematic review. Human Resources for Health 2015;13(1):55. [DOI: 10.1186/s12960‐015‐0049‐8]

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Martínez‐González NA, Rosemann T, Djalali S, Huber‐Geismann F, Tandjung R. Task‐shifting from physicians to nurses in primary care and its impact on resource utilization: a systematic review and meta‐analysis of randomized controlled trials. Medical Care Research and Review 2015;72(4):395‐418. [DOI: 10.1177/1077558715586297]

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Martínez‐González NA, Rosemann T, Tandjung R, Djalali S. The effect of physician‐nurse substitution in primary care in chronic diseases: a systematic review. Swiss Medical Weekly 2015;145:w14031. [DOI: 10.4414/smw.2015.14031]

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Naylor MD, Kurtzman ET. The role of nurse practitioners in reinventing primary care. Health Affairs 2010;29(5):893‐9. [DOI: 10.1377/hlthaff.2010.0440]

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Newhouse RP, Stanik Hutt J, White KM, Johantgen M, Bass EB, Zangaro G, et al. Advanced practice nurse outcomes: 1990‐2008: a systematic review. Nursing Economics 2011;29(5):1‐22. [DOI: 10/1234/12345678.]

NHS 2016

NHS England. General Practice Forward View, 2016. https://www.england.nhs.uk/wp‐content/uploads/2016/04/gpfv.pdf (accessed 20June 2017).

Perloff 2016

Perloff J, DesRoches CM, Buerhaus P. Comparing the cost of care provided to Medicare beneficiaries assigned to primary care nurse practitioners and physicians. Health Services Research 2016;51(4):1407‐23. [DOI: 10.1111/1475‐6773.12425]

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Petterson SM, Liaw WR, Philips RL, Rabin DL, Meyers DS, Bazemore AW. Projecting US primary care physician workforce needs: 2010‐2025. Annals of Family Medicine 2012;10:503‐10. [DOI: 10.1370/afm.1431]

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Poghosyan L, Lucero R, Rauch L, Berkowitz B. Nurse practitioner workforce: a substantial supply of primary care providers. Nursing Economics 2012;30(5):268‐94.

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Rashidian A, Shakibazadeh E, Karimi‐Shahanjarini A, Glenton C, Noyes J, Lewin S, et al. Barriers and facilitators to the implementation of doctor‐nurse substitution strategies in primary care: qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2013, Issue 2. [DOI: 10.1002/14651858.CD010412]

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Richardson G. Identifying, evaluating and implementing cost‐effective skill mix. Journal of Nursing Management 1999;5:265‐70.

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Savrin C. Growth and development of the nurse practitioner role around the globe. Journal of Pediatric Health Care 2009;23(5):310‐4.

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Swan M, Ferguson S, Chang A, Larson E, Smaldone A. Quality of primary care by advanced practice nurses: a systematic review. International Journal for Quality in Health Care 2015;27(5):396‐404. [DOI: 10.1093/intqhc/mzv054]

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References to other published versions of this review

Laurant 2000

Laurant M, Sergison M. Sibbald B. Substitution of doctors by nurses in primary care. Cochrane Database of Systematic Reviews 2000, Issue 1. [DOI: 10.1002/14651858.CD001271.pub2]

Laurant 2005

Laurant M, Reeves D, Hermens R, Braspenning J, Grol R, Sibbald B. Substitution of doctors by nurses in primary care. Cochrane Database of Systematic Reviews 2005, Issue 2. [DOI: 10.1002/14651858.CD001271.pub2]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Campbell 2014

Methods

Randomised trial

Participants

13,707 patients (total group); mean age in intervention group 41.5 (25.2), in control group 44.7 (25.0); 40% male in intervention group, 41% male in control group

42 practices at 4 centres

Interventions

Intervention: nurse‐led computer‐supported telephone triage

Control: GP‐led telephone triage

Detailed description of the intervention:

Compared 3 groups delivering telephone triage: GP‐led triage, nurse‐led computer‐based triage, and usual care triage

  • GP‐led: Components of the Stour Access System were used. Once the receptionist had established that the patient was requesting a same‐day appointment, the patient was asked to leave a contact number with the receptionist and was advised that the GP would call the patient back within around 1 to 2 hours. This time scale (for both GP‐led and nurse‐led arms) was flexible, so as to optimise prioritisation. The GP discussed the complaint with the patient and triaged the patient to the most appropriate person, such as a nurse, or booked a face‐to‐face appointment with the GP, or provided advice on the telephone

  • Nurse‐led: The Plain Healthcare Odyssey Patient Access System was used for patients registered at the practice. A computerised clinical decision support (CCDS) system was used to assist nurses at the practice in assessing and making decisions about the clinical needs of patients who have called the practice requesting a same‐day appointment

  • Usual care: Standard consultation management system practices were used (differed between practices)

Supervision, oversight: unknown

Outcomes

Patient outcomes:

  • Patients' experience of care after the same‐day request

  • Problem resolution

  • Overall satisfaction with care provided on the day of the consultation request

  • Health status (EQ‐5D)

  • Deaths associated with trial processes

Process of care measures:

  • Primary care workload (total numbers of primary care contacts taking place in the 28 days after the patient’s index appointment request)

  • Occurrences of each of the 20 individual consultation types contributing to the primary outcome

  • Profile of patient contacts and their distribution by healthcare professionals

  • Patient safety (i.e. the occurrence and duration of any emergency hospital admissions within 7 days of the index request, and the number of patients with any attendances at accident and emergency departments within 28 days)

Resource utilisation:

Costs: costs over 28 days with regard to primary outcome contacts

Notes

Country: UK

Study period: 25 months

Nurse role: nurse in charge of computer‐supported telephone triage for patients requesting a same‐day appointment

Nurse title: nurse (nurse practitioners and practice nurses)

Nurse educational background: EQF level unknown

Nurse years of experience: unknown

Nurse additional training: training in the use of Odyssey Patient Access and in telephone consultation skills. Following this was a pretrial period of 1 month, during which nurses were expected to practise using the decision support in their daily work; towards the end of this period, their use of the system was assessed

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

The sequence process included a random component.

"Participating practices were randomly assigned (1:1:1), via a computer‐generated randomisation sequence, to GP triage, nurse triage with computer decision support, or usual care. The randomisation sequence [was] minimized for research centre, deprivation (deprived [below average Index of Multiple Deprivation 2010, based on practice postcode] or not‐deprived [average or above]) and list size (small [< 3500 patients], medium [3500–8000 patients], or large [> 8000 patients]) of the trial team".

However, 10 of the 15 practices allocated to NP triage withdrew.

"To maintain balance between groups, any practices that withdrew after randomisation were replaced with a waiting‐list practice that was from the same location, and of similar size and deprivation when possible. Because of the small numbers of waiting‐list practices, replacements were purposively allocated according to minimisation criteria".

Allocation concealment (selection bias)

Low risk

Patients and investigators enrolling patients could not foresee assignment.

"A stochastic element within the minimisation algorithm maintained concealment. Allocation was done by a statistician independent form".

"Allocations were concealed from practices until after they had agreed to participate; this concealment also applied to practices replacing practices that had withdrawn from the study for whatever reason".

Baseline characteristics

Low risk

Characteristics of patients were similar in both groups.
"Practice and patient characteristics were well balanced between groups".

Baseline outcome measurement

Low risk

Baseline primary outcome measurement was not relevant. Baseline secondary outcome health status was not measured, and differences in baseline health status could bias the outcome ‘health status’.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Practitioners and patients were not blinded. It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

"Patients, clinicians, and researchers were not masked to allocation, but practice assignment was concealed from the trial statistician".

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Researchers were not blinded; however, the trial statistician was blinded.

"Patients, clinicians, and researchers were not masked to allocation, but practice assignment was concealed from the trial statistician".

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients < 80%; however per‐protocol and intention‐to‐treat analyses showed similar results.

"Findings from our per‐protocol analysis showed intensification of the noted effects of both GP triage and nurse triage (data not shown)".

Selective reporting (reporting bias)

Low risk

Protocol was available. Predefined outcomes measurements were reported.

Contamination

Low risk

Not likely, because allocation was by practice

Bias due to lack of power

Low risk

"7046 patients per group would need to be recruited from 42 practices".

In the GP triage, 6781 patients were eligible for intervention (6697 + 84). This is a relatively small difference with the calculated power.

Trial authors commented: "The trial was fully powered and we exceeded our recruitment target in gaining access to the primary outcome data, partly because of a process of obtaining initial verbal consent to participate".

Chambers 1978

Methods

Randomised trial

Participants

868 patients (total group), all ages, 34% male
1 nurse
1 doctor

Interventions

Intervention: families allocated to nurse‐led primary care
Control: families allocated to doctor‐led primary care

Detailed description of the intervention:

Compared 2 groups providing family care:

  • A conventional group, assigned to continuing primary clinical services from a family doctor

  • A family practice nurse group whose first contact primary clinical services were to be provided by the family practice nurse

Supervision, oversight: The family practice nurse was delegated the responsibility of choosing between three possible courses of action: providing specific treatment; providing reassurance alone, without specific treatment; or referring the patient to the associated family doctor, to another clinician, or to an appropriate service agency.

Outcomes

Patient outcomes:

  • Health status

Notes

Country: Canada

Study period: 12 months

Nurse role: first contact and ongoing primary care

Nurse title: practice nurse

Nurse educational background: EQF level unknown

Nurse years of experience: The nurse already worked for 4 years in the family practice.

Nurse additional training: The nurse attended a special 9‐month education programme for family practice nurses including skills such as decision‐making, clinical judgement, social history taking, physical examinations, and the ability to distinguish between abnormal and normal patient symptoms and signs.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No clear method of randomisation was reported.
"Random allocation in a ratio of 2:1" (family doctor:family practice nurse)

Allocation concealment (selection bias)

Unclear risk

No information

Baseline characteristics

Low risk

Baseline characteristics were reported and were similar for both groups.

"The groups are highly similar and none of the observed differences are statistically significant".

Baseline outcome measurement

Low risk

Baseline outcomes were reported and were similar for both groups.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Families/patients and care providers were not blinded. It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

High risk

Follow‐up of patients < 80% ("65.5%")

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Unclear risk

No information

Bias due to lack of power

Unclear risk

No power calculation performed

Chan 2009

Methods

Randomised trial

Participants

175 patients (total group), mean age 48.4 years (control), 50.2 years (intervention); 49% male (in total)

1 nurse and unknown number of doctors

Interventions

Intervention: patient care after gastric endoscopy allocated to nurse

Control: patient care after gastric endoscopy allocated to doctor

Detailed description of the intervention:

Compared 2 groups providing follow‐up for patients with dyspepsia after direct access gastroscopy.

  • Systematic GNP‐led follow‐up in an out‐patient clinic: The 'GNP' group was given 1 out‐patient appointment; a full medical history was taken.

  • Usual care by GPs: The 'GP' cohort was discharged and was advised to see their GP.

Patients included were those with mild gastroesophageal reflux disease (GORD – non‐erosive or grade A and B oesophagitis, hiatus hernia), those with non‐ulcer dyspepsia (NUD) (mild and moderate gastritis or duodenitis), and those with normal findings. After gastroscopy, endoscopists maintained their routine practice in giving verbal and written advice to patients and documented treatment recommendations to GPs in a formal report. Clinical management was structured, based on national and local guidelines, with reference to each patient's predominant symptoms. Patients were given counselling and lifestyle advice, supplemented with relevant locally devised leaflets (i.e. reflux, non‐ulcer dyspepsia, weight control), and an individualised treatment plan was agreed upon. Further investigation such as the urea breath test, motility studies, and barium meal were initiated, if required, as per routine clinical practice. To ensure practice consistency and reproducibility, 'history taking' and 'lifestyle advice' proformas were devised and used.

Supervision, oversight: Studied interventional patients were seen in the nurse‐led clinic within secondary care, without direct supervision from any consultant gastroenterologists. However, cases could be discussed with a doctor, if deemed necessary.

Outcomes

Patient outcomes:

Gladys, health status short form (SF‐12)

Notes

Country: UK

Study period: 6 months

Nurse role: ongoing care (follow‐up) after gastroendoscopy

Nurse title: gastrointestinal nurse practitioner

Nurse educational background: EQF level 8

Nurse years of experience: The nurse had been qualified as a State Registered Nurse for 20 years and specialised in gastro nursing for 4 years and 2 months.

Nurse additional training: Clinic consultation skill was developed with the help of a named GI consultant. Initially, the nurse sat in that clinic (2 months) as an observer. The next stage was to see patients who had been filtered by the consultant from that clinic on that day. The nurses’ consulting room was next to the GI consultants’ room to effect direct supervision, as each patient case was presented to the GI and treatment identified (6 months). Finally, a nurse‐led clinic was established and was formally running alongside the GI clinics, with pre‐identified patients advanced from all GI consultants. Some 18 months later, the nurse was authorised to discuss selective cases with the patient’s named consultant, if required. Three monthly reviews were performed initially; this was reduced to yearly and was incorporated in the annual appraisal.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.

"Patients eligible for entry after endoscopy were randomised into intervention (GNP) and control (GP) groups, with a password protected, computer generated random number table”.

Allocation concealment (selection bias)

Low risk

Participants and investigators enrolling participants could not foresee assignment.
"with a password protected, computer generated random number table"

Baseline characteristics

Low risk

Baseline characteristics were reported and were similar for both groups.

"The baseline Gladys scores (high scores equal higher burden of disease and symptoms) were similar (10.0 vs 9.9) but the SF12 scores (672.0 vs 627.7) were higher (high scores equal better health) in the GP group (see Table 1). The cost of UHD used, 6 months prior to the investigation, was lower in the GP group

(£52.4 vs £59.5)".

But, "The two groups were compared by the change from baseline to month 6 in the key outcome variables – Gladys score, SF12 and overall UHDs cost, adjusted for baseline values by including the baseline levels of the outcome in the ANOVA as a covariate; p < 0.05 was taken as being significant".

Baseline outcome measurement

Low risk

Baseline outcome measurements were reported and adjusted analyses performed.
"Adjusted for baseline level using ANOVA"

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

No information

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Blinding of assessment was performed.

"A researcher blinded to the patients' study status and diagnosis interviewed all participants by telephone, at a prearranged time suitable to the patient, six months after randomisation".

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%

"199 unselected patients were approached and 196 (98.5%) were recruited. One hundred and seventy five (89.3%) patients were eligible after investigation. Of the 21 ineligible patients, 16 did not meet the criteria (Barrett's oesophagus: 6, oesophagitis grade C: 2, oesophageal stricture: 1, peptic ulcer disease: 3, possible cancer: 1). Three cases were deemed unsuitable by the endoscopist, as symptoms were attributed to other conditions (rhinitis 1, angina 2)".
Two did not have the procedure (failed intubation 1, food in stomach 1).

"Early withdrawals (GP n = 3, GNP n = 4) after randomisation were experienced in both groups (Figure 1). Three in the 'GP' group decided not to see their GP. The four in the GNP group were due to work commitments (2), leaving the area (1) and after own GP consultation (1)".

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Low risk

Patients in the intervention group went to a nurse‐led clinic, and controls went to their doctor. Therefore, it is unlikely that both groups were contaminated.

Bias due to lack of power

Low risk

Number of included patients was approximately similar to results of the sample size calculation.

Dierick‐van Daele 2009

Methods

Randomised trial

Participants

1501 patients (total group); mean age in intervention group 46.1, in control group 42.8; 38.2% male in intervention group, 40% male in control group

50 GPs

12 NPs

Interventions

Intervention: patients allocated to nurse practitioners

Control: patients allocated to GPs

Detailed description of the intervention:

Compared 2 groups providing care to patients with common complaints as first point of contact

The NP saw patients with respiratory and throat problems, ear and nose problems, musculoskeletal problems and injuries, skin injuries, urinary problems, gynaecological problems, and geriatric problems. The role of the NP involved assessing symptoms including physical examinations when appropriate and diagnosing and making decisions about further treatment, including writing prescriptions and referrals to primary or secondary services and clinical investigations.

Supervision, oversight: The NP did not have full authority to prescribe medications, and so the GP was always available for consultation and for validation of prescriptions and referrals.

Outcomes

Patient outcomes:

  • Satisfaction

  • Burden of illness

  • Quality of life

Process of care measures:

  • Adherence to clinical guidelines

  • Appropriate medication prescribed

Resource utilisation:

  • Prescriptions

  • Investigations

  • Return visits

Costs: direct healthcare costs, including and excluding productivity

Notes

Country: Netherlands

Study period: 6 months

Nurse role: first contact and ongoing care

Nurse title: nurse practitioners

Nurse educational background: EQF level 7

Nurse years of experience: 0 years as an NP, at least 2 years of experience as a registered nurse

Nurse additional training: unknown

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.
"Sequentially‐numbered sealed envelopes containing randomised assignments to the two groups were provided by an independent person. The codes were generated from random number tables".

Allocation concealment (selection bias)

Low risk

Patients and investigators enrolling patients could not foresee assignment.
"Sequentially‐numbered sealed envelopes containing randomised assignments to the two groups were provided by an independent person. The codes were generated from random number tables"

Baseline characteristics

Low risk

Baseline outcomes were reported and were similar for both groups. Only age was different.

"Patients who returned all questionnaires were statistically significantly older (mean = 48Æ74, SD = 16Æ8) than those who did not (mean = 42Æ75, SD = 16Æ4; p < 0Æ001). There were no statistically significant differences in gender and type of diagnosis between patients with or without complete data. No statistically significant differences were noted between patients in two groups in terms of other (chronic) diseases".

Baseline outcome measurement

Unclear risk

Primary outcomes could not be assessed before the intervention.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Patients and care providers were not blind to the intervention. It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%

"499 met one or more exclusion criteria, declined to participate, had no interest or were too ill".

"58 patients who were allocated to the NP intervention group and 47 patients in the reference group did not attend the appointment they had booked or refused to participate because of being too ill or not having an interest".

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Low risk

It is unlikely that patients who visited the GP consulted the NP for the same question/problem, or vice versa.
"Patients in the intervention group who did see the GP were excluded from analysis (n = 43)".

Bias due to lack of power

Unclear risk

No power calculation performed

Hemani 1999

Methods

Randomised trial

Participants

450 patients (total group), mean age 61 years, 98% male
9 nurses
45 doctors

Interventions

Intervention: patients allocated to nurse‐led primary care
Control 1: patients allocated to trainee doctors (2nd and 3rd year residents)
Control 2: patients allocated to fully trained doctors (attending doctors)

Detailed description of the intervention: not available

Supervision, oversight: First‐year residents and newly graduated nurse practitioners were required to present every patient to the attending doctors during the first 6 months of their appointment, whereas the remainder of residents and nurse practitioners presented cases only when they believed it to be necessary.

Outcomes

Resource utilisation:

  • Consultation rate

  • Tests

  • Use of other services ‐ hospital admissions, emergency department visits, specialty visits

Notes

Country: USA

Study period: 12 months

Nurse role: first contact and ongoing primary care

Nurse title: nurse practitioners

Nurse educational background: EQF level unknown

Nurse years of experience: unknown

Nurse additional training: unknown

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.
"Most patients were assigned to any available provider and these patients were then scheduled by a clerk on a computerized system for the net available appointment, regardless of the type of provider"
"Our study sample makes use of this quasi random assignment".

Allocation concealment (selection bias)

Low risk

Participants or investigators enrolling participants could not foresee assignments. A computerised system was used.

Baseline characteristics

Unclear risk

No information

Baseline outcome measurement

Unclear risk

Primary outcomes were not assessed before the intervention.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Practitioners low risk, patients no information (unclear risk)
"The practitioners at the Baltimore VAMC were aware that a study of utilization patterns was being conducted, but did not know which patients were included".

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

No information available about follow‐up

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Unclear risk

No information. However, the quote "For the purposes of this study, patients remained in the group to which they were initially assigned, even if their type of primary care provider changed after the first visit" suggests that contamination has occurred.

Bias due to lack of power

Unclear risk

No power calculation performed

Houweling 2011

Methods

Randomised trial

Participants

239 patients (total group); mean age in intervention group 67.1 (11.0), in control group 69.5 (10.6); 52.9% male in intervention group, 42.3% male in control group

5 doctors (GPs)

2 nurses

Interventions

Intervention: patients with T2DM allocated to nurse practitioners

Control: patients with T2DM allocated to GPs

Detailed description of the intervention:

Compared 2 groups providing diabetes care:

  • Treatment primarily by PNs

  • Standard care from a GP

Eligible patients were selected via the GPs’ patient information system and the local pharmacy. Initial selection included patients with a diagnosis of diabetes, patients who were on medication for diabetes, and patients whose glycated haemoglobin (HbA1c) levels had been measured within the past 3 years. Exclusion criteria were (1) no diagnosis of diabetes, (2) type 1 diabetes, (3) diabetes not treated in the primary healthcare setting, (4) inability to participate in the study because of old age or comorbidity, in the opinion of the GP, and (5) not willing to return for follow‐up. PNs were permitted to prescribe 14 different medications and to adjust dosages for a further 30. They were also allowed to order laboratory tests. PNs specifically were not permitted to prescribe insulin but were able to adjust the dosage.

Supervision, oversight: PNs worked with a protocol published in "protocollaire diabeteszorg". The protocol indicated when the PN had to consult the GP. In case the patient showed specific complaints during consultation, the patient would be referred to the GP.

Outcomes

Patient outcomes:

  • HbA1c, BP, chol, chol/hdl, glycaemic control

  • Blood pressure

  • Lipid profile

  • HRQOL

  • Diabetes‐related symptoms

  • Patients’ satisfaction

Process of care measures:

  • Referred to an ophthalmologist after not having visited one for the past 2 years, by whom measures were taken for feet at‐risk

  • Referred to an internist for starting insulin therapy, after diabetic, antihypertensive, and/or lipid‐lowering drugs had been intensified

Resource utilisation:

  • Health care consumption (number of patient visits, number of contacts between PNs and GP)

Notes

Country: Netherlands

Study period: unknown

Nurse role: ongoing care for patients with diabetes type 2 in a primary care setting

Nurse title: practice nurse

Nurse educational background: EQF level 5

Nurse years of experience: 2 PNs, experienced in working as a nurse; however no prior experience working in general practice

Nurse additional training: At the beginning of the trial, PNs received 1 week of training on a detailed treatment and management protocol aimed at optimising glucose, blood pressure, and lipid profile regulation and eye and foot care in patients with diabetes. Training aimed to educate PNs to a level comparable to the level of a GP, so they would be able to provide diabetes care without supervision.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A random sequence was used; sequence generation was by odd/even number of closed envelopes.

"Patients willing to participate were then randomised by two independent medical investigators (STH and NK)…... Subjects with even numbers were assigned to the intervention group, and those with odd numbers were assigned to the control group".

Allocation concealment (selection bias)

Low risk

Allocation was concealed using sequentially numbered closed envelopes

"The patient population was randomised using non‐transparent, closed envelopes containing sequential numbers".

Baseline characteristics

Low risk

Characteristics of patients were similar in both groups.

"The groups were comparable with respect to age, gender, T2DM duration, body mass index (BMI), blood pressure, HbA1c and lipid profile".

Baseline outcome measurement

Low risk

Baseline outcomes were reported and were similar for both groups, except feet at‐risk. One of the secondary outcomes was measures to prevent development of diabetic foot symptoms. The percentage of feet at‐risk cases was calculated. Therefore, we do not expect bias due to unsimilarity in baseline feet at‐risk.

"The groups were comparable with respect to age, gender, T2DM duration, body mass index (BMI), blood pressure, HbA1c and lipid profile. However, more patients in the PN group had feet at‐risk compared to the GP group".

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not performed. It is unclear whether the outcome was influenced by lack of blinding of the outcome assessment, because outcomes could not be easily influenced.

"The outcome assessors of the clinical variables (such as blood pressure) were not blinded to the

intervention".

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Unclear risk

Allocation was by patient. Only 1 practice was involved. Not reported whether trial authors protect against contamination

Bias due to lack of power

Unclear risk

Lack of power, according to the power calculation. If this really was biased, the outcome was unclear. However, trial authors discussed the following:

"the required sample size to detect a 0Æ5%‐point difference in HbA1c was a total of 216 patients. Unfortunately, we only have a complete follow‐up of 206 patients. However, the difference in HbA1c ( confidence interval) between groups after 14 months was 0Æ042% (0Æ207;0Æ265). As the confidence interval does not include the possibility of a 0Æ5%‐point difference in HbA1c between groups, we are able to make the conclusions as hypothesised".

Iglesias 2013

Methods

Randomised trial

Participants

1461 patients (total group), 708 control, 753 intervention; mean age in intervention group 39.0 (15.1), in control group 38.6 (14.5); 39.0% male in intervention group, 38.8% male in control group

142 GPs

155 nurses

Interventions

Intervention: care delivered by nurses to patients asking same‐day appointment

Control: usual care delivered by GPs to patients asking same‐day appointment

Detailed description of the intervention:

Compared effectiveness of care delivered by nurses vs usual care delivered by GPs, in adult patients asking to be seen on the same day in primary care practices. Patients assigned to the intervention group were seen by trained nurses, who followed guidelines developed during the study's preparation phase. Nurses had access to an electronic application, which included the guidelines, designed as a decision‐making support tool. Patients assigned to the control group were seen by the GP, who followed the usual procedures established in the practice and did not have access to any kind of decision‐making support tools.

Supervision, oversight: unknown

Outcomes

Patient outcomes:

  • Resolution of symptoms

  • Patient satisfaction

  • Patient perception of the quality of information and care received

  • Patient preference

Process of care measures:

  • Resolution by nurse

  • Duration of the visit

Resource utilisation:

  • Drug prescriptions

  • Sick leave

  • Re‐visit in primary care for the same reason during the following 2 weeks

  • Admission to hospital for the same reason

Notes

Country: Spain

Study period: 5 months

Nurse role: nurses trained to respond to low‐complexity, acute pathologies

Nurse title: nurse

Nurse educational background: EQF level unknown

Nurse years of experience: unknown

Nurse additional training: unknown

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.

"Participants were randomly assigned following simple randomisation procedures to intervention or control using an automatic probabilistic function which assigns one group or another using a probability of 0.5. Patients were recruited consecutively until the necessary number of subjects was obtained, ensuring a balanced allocation of groups".

Allocation concealment (selection bias)

Low risk

Patients and investigators enrolling patients could not foresee assignment.

"The application was used to implement the random allocation

sequence. The sequence was concealed until groups

were assigned because the application generated the

sequence just after the patient gave oral and written consent to participate in the study".

Baseline characteristics

Low risk

Characteristics of patients were similar in both groups.

Baseline outcome measurement

Unclear risk

Outcome patient preference was not assessed before the intervention.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

"Participants, nurses and GPs where not blinded to group assignment".

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Outcome assessors were blind.
"The administrative staff member, who phoned the patients 15 days later to the first visit, where blinded to group assignment".

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%
"Of the 1,461 randomised patients, 1,351 (92.5%) completed the study".

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Unclear risk

One of the outcomes was ‘level of resolution by nurses’.
It is unclear what happened in the analysis with patients seen by both groups, owing to non‐resolution by nurses.

Bias due to lack of power

Low risk

Sufficient power

"…obtaining a final sample size of 1,340 patients (670 per group)"

Larsson 2014

Methods

Randomised trial

Participants

107 patients (total group). Mean age in intervention group 55.0 (12.3), in control group 55.8 (13.2); 45.0% male in intervention group, 44% male in control group

5 nurses

Unknown number of rheumatologists

Interventions

Intervention: patients monitored by a nurse, later monitored by a rheumatologist

Control: patients monitored by a rheumatologist

Detailed description of the intervention:

Compared and evaluated treatment outcomes at a nurse‐led rheumatology clinic and a rheumatologist‐led clinic in patients with low disease activity or in remission undergoing biological therapy. The intention was to replace one of the 2 annual rheumatologist monitoring visits by a nurse‐led rheumatology monitoring visit in patients undergoing biological therapy.

  • Rheumatologist‐led clinic: Patients with CIA undergoing biological therapy were monitored by a rheumatologist every 6 months for 30 minutes to evaluate effects of the medication and to measure disease activity. The rheumatologist assessed disease activity by examining tender and swollen joints based on a 28‐joint count in addition to evaluating the results of laboratory tests.

  • Nurse‐led rheumatology clinic: Patients were monitored for 30 minutes by a rheumatology nurse after 6 months, then for 30 minutes by a rheumatologist after 12 months. The nurse assessed patients' disease activity by examining tender and swollen joints based on the 28‐joint count in addition to evaluating results of laboratory tests in the same way as a rheumatologist. Drug treatment was discussed in terms of administration, adherence, side effects, and laboratory tests, as well as patients' global health.

Supervision, oversight: If necessary, the nurse could contact the rheumatologist to ask for advice or to obtain a prescription.

Outcomes

Patient outcomes:

  • Disease activity

  • Perceived global health the previous week

  • Physical difficulties in performing activities of daily living

  • Pain

  • Satisfaction with and confidence in obtaining rheumatology care

  • Medication record

  • Employment status

  • Adverse events

Resouce utilisation:

  • Cortisone injections in addition to regular rheumatologist monitoring visits

  • Blood tests

  • Radiography

  • Pharmacological therapy

  • Additional telephone calls to a rheumatology nurse

  • Additional telephone calls to a rheumatologist

  • Additional rheumatologist visits

  • Team rehabilitation in in‐patient settings

  • Team rehabilitation in out‐patient settings

  • Occupational therapist treatments

  • Psychosocial treatments

  • Specialist consultations

Costs: total annual rheumatology care per patient

Notes

Country: Sweden

Study period: 22 months

Nurse role: nurse‐led rheumatology monitoring visit for patients undergoing biological therapy

Nurse title: registered nurse

Nurse educational background: EQF level 6

Nurse years of experience: 22 to 39 years' professional experience and 9 to 20 years' experience managing rheumatic diseases in both in‐patient and out‐patient rheumatology care

Nurse additional training:

Nurses had undergone special training provided by a rheumatologist and RA instructors to assess swollen and tender joints based on the 28‐joint count to make an evidence‐based assessment of disease activity.

• Theoretical lecture about anatomy of the joint with pictures and about joint examination techniques – inspection, palpation, assessing range of motion and function for a half hour

• Practical examination of the hand and wrist.

Nurses were trained in groups of 2 to 3 by RA instructors (patient partners) who had RA themselves and were well educated. Time: 1.5 hours

• Same procedure, but now foot and ankle. Time: 1.5 hours

• All nurses also got a booklet about hand and wrist examination, and another about foot and ankle examination, for self‐study and training.

• One week later, another 1.5‐hour lecture to repeat both hand and foot examinations in the same groups

• Rheumatologist met the whole group of nurses and gave a lecture on how to examine the big joints ‐ shoulder, elbow, knee, and hip. Nurses examined an RA patient and then practiced on each other. Time: 1.5 hours

• Time to ask the rheumatologist questions afterwards if needed, and to watch the rheumatologist examining other patients in the practice

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.

"Randomization took the form of sealed envelopes containing assignment to one of the two groups. The envelopes were mixed and when a patient met the inclusion criteria, an envelope was randomly picked".

Allocation concealment (selection bias)

Low risk

Patients and investigators enrolling patients could not foresee assignment.

"Randomization took the form of sealed envelopes containing assignment to one of the two groups. The envelopes were mixed and when a patient met the inclusion criteria, an envelope was randomly picked".

Baseline characteristics

Unclear risk

Characteristics of patients were similar in both groups, except in those with rheumatic disease. It is unclear whether this biased trial results.

Baseline outcome measurement

Low risk

Primary outcomes were assessed before the intervention. Mean differences were used as an outcome.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

No information available
It is unclear whether the outcome was influenced by possible lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Not performed
It is unclear whether the outcome was influenced by lack of blinding of the outcome assessment. Assessment of disease activity may have been influenced by lack of blinding of the outcome assessor.

"The monitoring by the rheumatology nurse (intervention group) and the rheumatologist (control group) included an assessment of the number of swollen and tender joints based on the DAS28".

and

"All patients were monitored by the rheumatologist at baseline

and after 12 months".

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%

"In total, 47 patients (89%) in the intervention group and 50 patients (93%) in the control group completed the 12‐month trial".

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Unclear risk

Not reported whether trial authors protect against contamination

Bias due to lack of power

Low risk

Sufficient power

"Based on a change of 0.6 in the DAS28 score

and a SD of 1.0, the power analysis

demonstrated that 95 patients would be a sufficient number to detect a clinically moderate difference between groups at a 5% significance level with at least 90% power. It was decided to include 107 patients to allow for the predicted 10% dropout. The primary outcome measure was change

in the DAS28 over a 12‐month period".

Lattimer 1998

Methods

Randomised trial

Participants

10134 patients (total group), all ages, 48% male
6 nurses
55 doctors

Interventions

Intervention: nurse call management during out‐of‐hours
Control: GP call management during out‐of‐hours

Detailed description of the intervention:

Compared 2 groups answering incoming phone calls for patients during out‐of‐hours

Nurse telephone consultation:

In the intervention arm of the trial, all calls were passed straight to the nurse, except in the case of immediate referral to the ambulance service by the receptionist. The nurse then undertook a systematic assessment of the caller's problem and recommended an appropriate course of action. The nurse was aided by TAS (telephone advice system), a computer‐based primary care call management system. Triage nurses were able to complete calls without onward referral.

Call management options for nurses included:

  • Telephone advice:

    • on home management of the problem

    • to see the patient’s own GP the next day

    • to attend the Accident and Emergency Department

  • Referral of the patient to the GP on duty:

    • inviting the patient to attend the primary care centre

    • advising the caller that the GP would contact them by telephone

    • contacting the 999 ambulance service plus referral to the GP on duty

    • referring to another agency (e.g. on call Community Psychiatric Nurse) plus referring to the GP on duty

At the time of the study, triage nurses were seen to be acting as ‘competent agents’ of the GP. They had personal professional responsibility to ensure that they had been adequately prepared for the role and were accountable for their own actions. The GP could delegate care, but not accountability for that care.

Doctor telephone consultation:

Incoming phone calls were answered by a receptionist, who passed the message to a doctor.

Call management options for the GP were:

  • Telephone advice:

    • on home management of the problem

    • to see the patient’s own GP the next day

    • to bring the patient to be examined at the primary care centre

    • to take the patient to the accident and emergency department

  • Examination of the patient at home or in the primary care centre with:

    • advice on home management

    • advice to see the patient's own GP the next day

    • treatment

    • admission to hospital

Supervision, oversight:

Nurses would refer calls to a GP if in doubt about how best to manage a situation, or would discuss the situation with the patient (in person at the centre or over the telephone). Before the end of every shift, triage nurses contacted the general practitioners on duty to report back on all calls they had managed. Formal, monthly professional supervision was provided by the trial project nurse.

Outcomes

Patient outcomes:

  • Mortality

Resource utilisation:

  • Doctor workload

  • Hospital referral and admission

  • Emergency department visits

  • Direct costs

Notes

Country: UK

Study period: 3 to 7 days

Nurse role: first contact care for patients with urgent problems out‐of‐hours

Nurse title: not clear

Nurse educational background: EQF level 6

Nurse years of experience: Nurses were required to have a minimum of 5 years of post registration experience, including experience in primary health care.

Nurse additional training: 6‐week educational programme to prepare nurses for a 3‐month probationary period of supervised telephone triage practice. The taught component covered clinical skills (management of adult and child health problems and related pharmacology); telephone consultation (including professional and medicolegal aspects, communication, and interpersonal skills at different phases of the telephone encounter); assessment and decision‐making skills in telephone triage; approaches to managing a variety of situations on the telephone including ‘difficult’ calls using scenarios; skills in using the TAS system; and patient perspectives. Programme contributors were largely drawn from clinical GPs involved with the trial and academic staff. The programme comprised approximately 40 hours in total, with 20 hours taught over 6 weeks and 20 hours of individual practical work and assessment.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.

"The trial year was divided into 26 blocks of two weeks. Within each block, one of each pair of matching out of hours periods ‐ for example, Tuesday evenings ‐ was randomly allocated to receive the intervention, the other being allocated to the normal service, by means of a random number generator on a Hewlett Packard 21S pocket calculator".

Allocation concealment (selection bias)

Low risk

Patients and investigators enrolling patients could not foresee assignment.
"random number generator on a Hewlett Packard 21S pocket calculator"

Baseline characteristics

Low risk

Baseline characteristics were reported and were similar for both groups.
"There were no substantial differences between the two trial groups".

Baseline outcome measurement

Unclear risk

Primary outcomes were not assessed before the intervention.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Personnel (low risk): "The complete pattern of intervention periods was known in advance only to the lead investigators and the trial coordinator. Nurses providing the intervention knew their shifts only after the duty roster for general practitioners providing out of hours care had been fixed. General practitioners were therefore blind to the intervention at the point at which they were able to choose or swap duty periods".

Patients (unclear risk): no blinding; however it is unclear whether the outcome was influenced by lack of blinding of patients

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Unclear risk

No information

Bias due to lack of power

Low risk

Sufficient power.

"..., we calculated that 5455 patients would be required in each arm of the trial using the formula described by Jones et al".

Lewis 1967

Methods

Randomised trial

Participants

66 patients (total group), 16+ years, 12% male
Unknown numbers of nurses and doctors

Interventions

Intervention: patients allocated to nurse‐led care
Control: patients allocated to doctor‐led care

Detailed description of the intervention:

Compared 2 groups delivering care to patients with chronic illnesses:

  • Nurse clinic: nurses as the primary source of care for adults with chronic illnesses (i.e. hypertensive cardiovascular disease; arteriosclerotic heart disease; exogenous obesity; psychophysiological reactions; and arthritis)

  • Control: medicine clinic

Supervision, oversight: unknown

Outcomes

Patient outcomes:

  • Health status

  • Provider preference

  • Compliance with follow‐up attendance

Resource utilisation:

  • Direct costs

Notes

Country: USA

Study period: 12 months

Nurse role: ongoing primary care for patients with stable chronic disease

Nurse title: not clear

Nurse educational background: EQF level unknown

Nurse years of experience: unknown

Nurse additional training: unknown

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Baseline characteristics

Low risk

Baseline characteristics were reported and were similar for both groups.
"There were no differences among the scores of the two groups on initial testing".

Baseline outcome measurement

Low risk

Baseline outcomes were reported and were similar for both groups.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not performed
It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

High risk

Potential contamination represented by cross‐over of patients/clinicians between groups

"On 95% of these occasions, patients were seen by the nurse alone".

Bias due to lack of power

Unclear risk

No power calculation performed

Moher 2001

Methods

Randomised trial

Participants

1347 patients (total group), mean age 66 years, 69% male
Unknown numbers of nurses and doctors in 21 practices

Interventions

Intervention: patients with coronary heart disease allocated to nurse‐led follow‐up
Control: patients with coronary heart disease allocated to doctor‐led follow‐up

Detailed description of the intervention:

Compared 3 different interventions for improving secondary preventive care of patients with coronary heart disease delivered at the level of general practice: audit and feedback; recall to a general practitioner; and recall to a nurse clinic

  • Audit and feedback (audit group) ‐ Practices were given summary audit results at a practice meeting (1 practice requested written material only). Results presented were numbers of patients with myocardial infarction, angina, and revascularisation; prevalence of identified coronary heart disease in the practice; and proportions of patients with “adequate assessment” and treatment with antiplatelet drugs, hypotensive agents, and lipid‐lowering drugs. Anonymised data from other practices in the study were given for comparison. Practices were asked to provide usual care and were given no further support during the trial.

  • Recall to general practitioner (GP recall group) ‐ Practices were given the same patient information as was given to the audit group but were also given the names of patients identified as having coronary heart disease. Guidelines for secondary prevention were discussed and agreed upon with practice doctors and provided ongoing support in setting up a register and recall system for regular review of patients with coronary heart disease by their general practitioner.

  • Recall to nurse clinic (nurse recall group) ‐ Practices were given the same patient information as was given to the GP recall group. The trial's nurse facilitator gave ongoing support to the practices in setting up a register and recall system for systematic review of patients with coronary heart disease in a nurse‐led clinic. After discussion of and agreement on guidelines for secondary prevention, practice doctors and nurses agreed on the clinical protocol, and nurses were taught how to implement it.

Supervision, oversight: unknown

Outcomes

Patient outcomes:

  • Cardiovascular risk factors

Process of care:

  • Adherence to guidelines

Resource utilisation:

  • Prescriptions

Notes

Country: UK

Study period: 18 months

Nurse role: ongoing primary care for patients with coronary heart disease

Nurse title: practice nurse

Nurse educational background: EQF level unknown

Nurse years of experience: unknown

Nurse additional training: Nurses received education on how to implement the clinical protocol.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

No information

Baseline characteristics

Low risk

Baseline characteristics were reported and were similar for both groups.

"Characteristics of the patients were similar in the three trial groups".

"At baseline about 30% of patients were adequately assessed overall".

Baseline outcome measurement

Low risk

Baseline outcomes were reported and were similar for both groups. Effect sizes were adjusted for baseline.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not performed
It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%
"Only patients were included who were alive and registered with the practice at follow up".

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Low risk

Allocation was by practice.

"at the level of general practice"

Bias due to lack of power

Unclear risk

No power calculation performed

Mundinger 2000

Methods

Randomised trial

Participants

1316 patients (total group), mean age 44.5 years, 25.5% male
7 nurses
17 doctors

Interventions

Intervention: patients allocated to nurse‐led care
Control: patients allocated to doctor‐led care

Detailed description of the intervention:

Compared NPs and doctors as primary care providers within a conventional medical care framework at the same medical centre, where all other elements of care were identical. NPs provided all ambulatory primary care, including 24‐hour call, and made independent decisions for referrals to specialists and hospitalisations.

NPs and doctors had the same authority to prescribe, consult, refer, and admit patients. Furthermore, they used the same pool of specialists, in‐patient units, and emergency departments.

Supervision, oversight: MD supervision of NPs was consistent with New York State and hospital regulations: In New York State, NPs have a written agreement with an MD that states the MD will meet with the NP once or twice a year to review any practice issues, or to discuss certain cases. No on‐site or regular "supervision" is provided. In terms of hospitals in New York State, and an MD must sign off on every hospital admission within 24 hours of admission, but this still allows an NP with privileges to independently admit and care for a patient.

Outcomes

Patient outcomes:

  • Health status

  • Satisfaction

Process of care:

  • Care given by providers

Resource utilisation:

  • Consultation rate

  • Use of other services ‐ hospital admissions, emergency department visits, specialty visits

Notes

Country: USA

Study period: 2 years

Nurse role: first contact and ongoing primary care

Nurse title: nurse practitioners

Nurse educational background: EQF level 7

Nurse years of experience: average of 8 to 10 years of experience for NPs in the study

Nurse additional training: Additional training was received from MDs in hospital‐based activities, including how to admit and bring necessary resources to the patient (specialists, radiology, lab work, etc); training was also provided in interpreting tests and conducting emergency department evaluations.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No method of randomisation was clearly reported.

"Those who provided informed consent were randomly and blindly assigned to either the nurse practitioner or 1 of the physician practices. Different assignment ratios were used during the recruitment period. Initially the ratio was 2:1, with more patients assigned to the nurse practitioner practice, because it opened after the physician practices and was able to accept more new patients. Subsequently, the ratio was changed to 1:1 as the nurse practitioner practice’s patient panel increased".

Allocation concealment (selection bias)

Unclear risk

Method of concealment was not described in sufficient detail.

Baseline characteristics

Low risk

Most baseline characteristics were reported and were similar for both groups.

"With regard to demographic characteristics, groups are similar with exception: Significant more patients Medicaid enrolled in physician group (95.7%) versus 87.4% nurse group; p = 0.004".

Baseline outcome measurement

Low risk

Baseline outcomes were reported and were similar for both groups.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

"Those who provided informed consent were randomly and blindly assigned to either the nurse practitioner or 1 of the physician practices".
"Patients were told which provider group they were assigned to after randomisation, and the type of provider could not be masked during the course of care".

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information.

Incomplete outcome data (attrition bias)
All outcomes

High risk

Follow‐up of patients < 80% (Figure 1, page 64)

1316 were enrolled, 1040 completed 6‐month interview (79%).
"Only 406 of the original eligible patients are included, as these patients were the only ones who still received care from original provider".
"The number varied per measure from 77 to 119".

77/145 = 53.1%; 119/145 = 82.06%

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

High risk

Contamination could have occurred.

"The 159 patients (12.1%) who, after the first visit, either went to a clinic other than the one assigned or to multiple primary care clinics were maintained in the initially assigned group for the analyses, consistent with an intent‐to‐treat analysis. All analyses were repeated without these 159 patients, and the results were the same".

Art. Lenz et al: "The present analysis is limited to the 406 patients who received primary care only from the assigned practice and made at least one follow‐up visit to that practice during the 2 years following the initial visit. This subsample was the only one that received the treatment as assigned and in which the effect of the treatment could be isolated".

Bias due to lack of power

Low risk

Sufficient power

Ndosi 2013

Methods

Randomised trial

Participants

181 patients (total group), 91 intervention group, 90 control group; mean age in intervention group 60.2 (11.3), in control group 57.3 (12.2); 26.5% male in intervention group, 25.7% male in control group

9 nurses

10 doctors (rheumatologists)

Interventions

Intervention: RA patients allocated to nurse‐led care

Control: RA patients allocated to rheumatologist care

Detailed description of the intervention:

Compared 2 groups providing care to patients with a positive diagnosis of RA

  • Nurse‐led care: included allocated 30‐minute time slots in which the nurse took history, performed physical examination, provided pain control, prescribed or recommended medication and dosage changes, administered intra‐articular or intramuscular steroid injections, provided patient education and psychosocial support, and ordered blood tests or x‐rays. Referrals for ward admission, to the rheumatologist or to other healthcare professionals, were carried out as appropriate.

  • Rheumatologist care: The usual RLC is similar to the above, except that it usually involves an allocated 15‐minute time slot.

Supervision, oversight: Rheumatology nurse‐led clinics were autonomous but were conducted alongside rheumatologist‐led clinics; therefore, a rheumatologist was available on‐site and could be consulted.

Outcomes

Patient outcomes:

  • DAS28

  • Pain

  • Fatigue

  • Duration of morning stiffness

  • Quality of life

  • Disability

  • Hospital anxiety

  • Depression

  • Arthritis self‐efficacy

  • Satisfaction

Resource utilisation:

Costs: EQ5D, costs applied to units of resource use

Notes

Country: UK

Study period: 4 years

Nurse role: ongoing care for patients with rheumatological arthritis

Nurse title: clinical nurse specialist

Nurse educational background: EQF level 7

Nurse years of experience: The nurse had a median experience of 10 years in their current post and had experience in running nurse‐led clinics.

Nurse additional training: none

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.

"Randomisation was on a 1 : 1 basis to either NLC (experimental group) or rheumatologist‐led care (RLC) (control group), by random permuted blocks, using the stratification factors, centre and DAS28 (low disease activity DAS28 ≤ 3.2, or moderate to high disease activity DAS28 > 3.2)".

Allocation concealment (selection bias)

Low risk

Patients or investigators enrolling patients could not foresee assignments, because a random permuted block method was used.

Baseline characteristics

Low risk

Characteristics of patients were similar in both groups, except DMARD. In the analyses, trial authors corrected for DMARD.

"The demographics and baseline characteristics of patients under NLC (n = 91) were comparable to those under RLC (n = 90) except in the proportion of patients receiving biological disease‐modifying antirheumatic drugs (DMARD)".

"The baseline difference in the proportion of patients receiving biological DMARD was a result of chance (not systematic). In the follow‐up period, the proportion of patients receiving biological agents in NLC remained more or less constant while that in RLC doubled. Assuming that change onto biological agents would significantly improve DAS28, this was likely to favour RLC. Predictably, additional adjustment for baseline biological agents increased the effects on NLC".

Baseline outcome measurement

Low risk

Primary outcomes were assessed before the intervention.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Outcome assessor was blind.

"The independent assessors, performing the joint counts for DAS28, were masked".

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Follow‐up of patients < 80%

However, intention‐to‐treat and per‐protocol analyses were performed. Differences in outcomes were reported.

"Of the 622 patients who were assessed for eligibility, 181 were eventually randomly assigned and 133 (73.5%) had complete DAS28 data for all the five visits (PP analysis)".

Selective reporting (reporting bias)

Low risk

The protocol was available.

Contamination

Low risk

One patient crossed over. It seems that the patient crossing over was registered; therefore no further contamination took place.

Bias due to lack of power

Low risk

Sufficient power

"Allowing for a 10% participant dropout rate, a total sample size of 180 participants (90 per treatment arm) was needed on the basis of a repeated‐measures analysis of between‐group differences averaged over four equidistant follow‐up time points given 90% power and one‐sided statistical testing with 2.5% significance level (with anticipated SD of 1.5, intraclass correlation coefficient of 0.5)".

Sanne 2010

Methods

Randomised trial

Participants

812 patients (total group), gender unknown

4 nurses

4 medical officers

Interventions

Intervention: patients with HIV allocated to nurses

Control: patients with HIV allocated to medical officers

Detailed description of the intervention:

Compared nurse‐ vs doctor‐monitored HIV care. All patients were managed under South African National Guidelines for HIV treatment and were given standard ART regimens.

Supervision, oversight: unknown

Outcomes

Patient outcomes:

  • Mortality

  • Failure (virological failure, toxicity failure, study losses)

  • Satisfaction

Notes

Country: South Africa

Time period: 47 months

Nurse role: primary healthcare nurses

Nurse type: primary healthcare nurses

Nurse educational background: EQF level unknown

Nurse years of experience: unknown

Nurse additional training: unknown

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.

"Participants were randomly assigned in a ratio of 1:1 within sites. Randomisation lists were generated centrally with a stratified permuted block randomisation (with blocks of six). The strata corresponded to the different study sites".

Allocation concealment (selection bias)

Low risk

Patients and investigators enrolling patients could not foresee assignment.
"The allocation codes for a particular site were sealed in sequentially numbered envelopes, reflecting their order on the randomisation list, and distributed to the site. At randomisation, the site pharmacist unsealed the sequential envelope to reveal the randomisation code and participant randomisation number".

Baseline characteristics

Low risk

Characteristics of patients were similar in both groups.

Baseline outcome measurement

Low risk

Baseline outcome measurement was not relevant.

"The primary study outcome was a composite endpoint of possible treatment‐limiting events that could occur on first‐line ART".

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not performed

It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

"Neither the participant nor those analysing the data were masked to the assignment".

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not performed

It is unclear whether the outcome was influenced by lack of blinding of the outcome assessment.

"Neither the participant nor those analysing the data were masked to the assignment".

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%
"917 patients were assessed for eligibility, 105 excluded. Of excluded patients, 16 refused to participate and 89 did not meet inclusion criteria.

There were 10 lost to follow‐up in the nurse group and 14 lost to follow‐up in the doctor group".

Trial authors did not mention the reason for loss to follow‐up,

but all patients were included in primary outcome analysis.

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Low risk

It is unlikely that both groups were contaminated.

"To limit contamination between randomised groups, work activity and monitoring schedules were separated with routine visits scheduled on different days of the week, although at least one clinician was available to undertake unscheduled visits in the other group of the study".

Bias due to lack of power

Low risk

Sufficient power

"The sample size was calculated based on an 18‐month accrual and 96 weeks’ follow‐up with 80% power and α of 0·05. Because we did not record significant household clustering, enrolment was able to be discontinued after 812 patients with no compromise of pre‐established study power".

Shum 2000

Methods

Randomised trial

Participants

1815 patients (total group), mean age 27.5 years, 40% male
5 nurses
19 doctors

Interventions

Intervention: patients allocated to nurse
Control: patients allocated to doctor

Detailed description of the intervention:

Compared acceptability and effectiveness of a practice‐based minor illness service led by nurses versus routine care offered by general practitioners. Nurses managed patient care and took the history, performed a physical examination, offered advice and treatment, issued prescriptions (which required a doctor's signature), and referred the patient to the doctor when appropriate.

Supervision, oversight: Patients seen by a nurse were referred to a general practitioner when appropriate.

Outcomes

Patient outcomes:

  • Health status

  • Satisfaction

  • Provider preference

Process of care:

  • Provision of information

Resource utilisation:

  • Length of consultation

  • Return visits

  • Prescriptions

  • Emergency department visits

  • Use of out‐of‐hour services

Notes

Country: UK

Study period: 2 weeks

Nurse role: first contact care for patients with urgent problems

Nurse title: practice nurse

Nurse educational background: EQF level unknown

Nurse years of experience: average of 8.4 (3.8) years of experience in practice nursing

Nurse additional training: 3‐month academically accredited degree level course on managing minor illnesses. Nurses attended one half‐day a week of formal group teaching by a nurse practitioner and were taught twice a week by general practitioners during routine surgeries in the practice where the nurses worked.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Sequence was generated by non‐resealable opaque envelopes.

"Allocation to being seen by a doctor or nurse was determined using random permuted blocks of four with sequentially numbered, non‐resealable opaque envelopes".

Allocation concealment (selection bias)

Low risk

Allocation was concealed by sequentially numbered, non‐resealable opaque envelopes.

"Allocation to being seen by a doctor or nurse was determined using random permuted blocks of four with sequentially numbered, non‐resealable opaque envelopes".

Baseline characteristics

Low risk

Baseline characteristics were reported and were similar for both groups.

"The two groups of patients were comparable in terms of age, sex, the number who usually preferred to see a female doctor rather than a male, and their reported rates of consultation in the previous 12 months (table 1)".

Baseline outcome measures were not relevant.

Baseline outcome measurement

Unclear risk

Primary outcomes were not assessed before the intervention.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

For most outcomes, follow‐up was > 80%.

Follow‐up for satisfaction questionnaire was > 75%, for mailed questionnaire 76%.

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Unclear risk

No information

Bias due to lack of power

Low risk

Sufficient power

"It was calculated that 1060 valid responses would be sufficient to detect an effect size of 0.2 SD at the 95% confidence level with a power of 90% using two tailed tests".

Spitzer 1973

Methods

Randomised trial

Participants

4325 patients (total group), all ages, 42.5% male
2 nurses
2 doctors

Interventions

Intervention: families allocated to nurse
Control: families allocated to doctor

Detailed description of the intervention: not available

Supervision, oversight: unknown

Outcomes

Patient outcomes:

  • Health status

  • Satisfaction

  • Provider preference

Process of care:

  • Standards of care

Resource utilisation:

  • Direct costs

Notes

Country: Canada

Study period: 12 months

Nurse role: first contact and ongoing primary care

Nurse title: nurse practitioners

Nurse educational background: EQF level unknown

Nurse years of experience: unknown

Nurse additional training: unknown

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information

Allocation concealment (selection bias)

Unclear risk

Method of concealment was not described in sufficient detail.

"Because a case load half that of a family physician's was considered manageable for nurse practitioner, the eligible families were stratified by practice of origin, and randomly allocated in a ration of 2:1. They formed a randomized conventional group, assigned to continuing primary clinical services from a family physician and a conventional nurse, and a randomized nurse‐practitioner group, whose first‐contact primary clinical services were to be provided by a nurse practitioner".

Baseline characteristics

Low risk

Baseline characteristics were reported and were similar for both groups.

"As determined in the 1971 household survey, the patients in the conventional and nurse‐practitioner groups had highly similar values for physical function, ability to carry out usual daily activities and freedom from bed disability the baseline health status of the two groups of patients showed only minor differences that were not statistically significant (at an alpha level of 0.05)".

Figure 1: Baseline outcome variable was measured.

"Physical status of patients in surveys during baseline and comparison periods"

Baseline outcome measurement

Low risk

Baseline outcomes were reported and were similar for both groups.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Follow‐up of patients > 80%

"The resulting cohort that was successfully interviewed in both years included 817 patients, with 296 in the experimental group and 21 in the conventional control group. The referral rates in the surveys were 11% in 1971 and 5% in 1972".

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

High risk

It is likely that both groups were contaminated, because randomisation was by families within a practice.

Not reported whether they protect against contamination

Bias due to lack of power

Unclear risk

No power calculation performed

Venning 2000

Methods

Randomised trial

Participants

1316 patients (total group), all ages, 42% male
20 nurses
Unknown number of doctors

Interventions

Intervention: patients allocated to nurse
Control: patients allocated to doctor

Detailed description of the intervention:

Compared care given by general practitioners and nurse practitioners for patients requesting a same‐day appointment

Supervision, oversight: unknown

Outcomes

Patient outcomes:

  • Health status

  • Satisfaction

  • Compliance with follow‐up attendance

  • Enablement

Process of care:

  • Examinations

Resource utilisation:

  • Length of consultation

  • Return visits

  • Prescriptions

  • Investigations

  • Use of other services ‐ hospital referral

  • Direct costs

Notes

Country: UK

Study period: 2 weeks

Nurse role: first contact care for patients with urgent problems

Nurse title: nurse practitioners

Nurse educational background: EQF levels 5, 6, and 7

Nurse years of experience: The median length of time nurses had been qualified as nurse practitioners was 3 (range 1 to 5) years, and the median time as registered nurses was 22 (9 to 35) years. Each nurse practitioner had been seeing patients as first point of contact for at least 2 years.

Nurse additional training: unknown

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The sequence process included a random component.

"In each practice, experimental sessions were booked when both the nurse practitioner and a general practitioner had appointments available for patients who asked to be seen on the same day. Patients were eligible for entry to the study if they requested an appointment the same day and were able to come to the experimental session. If these conditions were satisfied, the receptionist then asked patients whether they would agree to be randomised to see either a[n] NP or a GP. A method of coded block randomisation was developed which meant that neither the receptionist nor the patient could determine the group to which a patient had been allocated at the time of booking. The coded blocks were generated from random number tables. The randomisation code was broken by one of the researchers at the start of each experimental session, at which point it became apparent which patient would see which practitioner. Randomization continued until a minimum of 60 patients in each practice had been allocated to the clinician groups".

Allocation concealment (selection bias)

Low risk

Patients and investigators enrolling patients could not foresee assignment.

"Method of coded block randomisation was developed which meant that neither the receptionist nor the patient could determine the group to which a patient had been allocated at the time of booking. The coded blocks were generated from random number tables. The randomisation code was broken by one of the researchers at the start of each experimental session, at which point it became apparent which patient would see which practitioner".

Baseline characteristics

Low risk

Baseline characteristics were reported and were similar for both groups.

Baseline outcome measurement

Unclear risk

No baseline outcome measurement was performed.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

GPs and NPs were not blinded. Patients were not blinded. It is unclear whether the outcome was influenced by lack of blinding of patients and care providers.

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information

Incomplete outcome data (attrition bias)
All outcomes

High risk

Follow‐up of patients < 80%

Selective reporting (reporting bias)

Unclear risk

The protocol was not available.

Contamination

Unclear risk

No information

Allocation on patient level

Bias due to lack of power

Unclear risk

No power calculation performed

Voogdt‐Pruis 2010

Methods

Randomised trial

Participants

1626 patients (1626 randomised, 701 trial population); 64% male

6 practice nurses

25 GPs

Interventions

Intervention: patients at cardiovascular risk allocated to practice nurses

Control: patients at cardiovascular risk allocated to GPs

Detailed description of the intervention:

Compared 2 groups following the Dutch guideline for cardiovascular risk management. Patients in the practice nurse group had a consultation with the practice nurse for assessment of other risk factors, and a 3‐monthly monitoring schedule was set up for patients but was adjusted individually according to the risk profile, (co)morbidity, and patient preferences. Patients could be referred to other professionals, such as a dietician.

Substitution involved the following tasks:

  • Risk assessment

  • Interventions needed: advice on lifestyle, referral to dietician or other professional, adjustment of medical therapy

Supervision, oversight: unknown

Outcomes

Patient outcomes:

  • Blood pressure

  • Cholesterol

  • BMI

  • Smoking

  • Satisfaction

  • Patient adherence to medical treatment after 1 year of follow‐up

  • Patient lifestyle after 1 year of follow‐up

Process of care:

  • Lifestyle and medical interventions

  • Asking about the use of medication

Resource use:

  • Referral to professionals

  • Visiting a cardiovascular specialist

  • Admission into hospital because of CVD

Notes

Country: Netherlands

Study period: not clear (1 measurement at 1 year with an unclear total period of the study)

Nurse role: health education: secondary prevention consultation for patients with cardiovascular disease

Nurse title: practice nurse

Nurse educational background: EQF level 5

Nurse years of experience: unknown

Nurse additional training: All nurses received a 1‐day course on motivational interviewing and shared decision‐making.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Allocation concealment (selection bias)

Low risk

Baseline characteristics

Low risk

Baseline outcome measurement

Low risk

Baseline outcomes were reported.

"The marginal mean is controlled for health care centre, baseline risk factors, and other confounders".

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Contamination

High risk

Bias due to lack of power

Low risk

Outcomes: If we noted a difference in incomplete outcome data or baseline outcome measurement for different outcomes in the studies, we described these as support for judgement.

ART: antiretroviral therapy.

BP: blood pressure.

CCDS: computerised clinical decision support.

Chol: cholesterol.

CVD: cardiovascular disease.

DAS28: disease activity score 28.

DMARD: disease‐modifying antirheumatic drug.

EQ‐5D: EuroQoL Group Quality of Life Questionnaire.

EQF: European Qualifications Framework.

GI: gastrointestinal.

GNP: geriatric nurse practitioner.

GORD: gastroesophageal reflux disease.

GP: general practitioner.

HbA1c: glycated haemoglobin.

Hdl: high‐density lipoprotein.

HIV: human immunodeficiency virus.

HRQOL: health‐related quality of life.

NLC: nurse‐led care.

NP: nurse practitioner.

NUD: non‐ulcer dyspepsia.

PN: practical nurse.

RA: rheumatoid arthritis.

RLC: rheumatologist‐led care.

SF‐12: Short Form questionnaire.

T2DM: type 2 diabetes mellitus.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Chambers 1977

CBA design

Flynn 1974

non‐randomised study

Gordon 1974

CBA design

Irewall 2015

Setting: mixed primary healthcare and hospital care

Kinnersley 2000

non‐randomised study

Kuethe 2011

Setting: mixed primary care and hospital medicine

McIntosh 1997

Aimed at mental health problems (alcohol abuse and addiction)

Myers 1997

CBA design

Stein 1974

non‐randomised study

CBA: controlled before‐after study.

Characteristics of studies awaiting assessment [ordered by study ID]

Lewis 2016

Methods

Cluster randomised trial

Participants

40 patients in intervention group. Mean age: 40 (8.4). 65 patients in control group. Mean age: 42 (8,5) 80% male in intervention group, 74% male in control group

Interventions

Intervention: patients allocated to nurse‐initiated antiviral therapy
Control: patients allocated to doctor‐initiated antiviral therapy

Detailed description of the intervention:

Patients without contraindications to nurse‐led therapy were offered immediate antiviral therapy administered by their Blood Borne Virus Team nurse in their outreach clinic without physician assessment. Patients who did not fulfil the safety criteria for the ‘nurse led’ treatment arm were referred to one of the specialist addiction units for treatment, that is, were managed according to current standard of care.

Supervision, oversight: unknown

Outcomes

  • Proportion of participants initiating treatment during follow‐up

  • Adherence

  • Side effects of the treatment

  • Adverse events

Notes

Country: UK

Study period: 24‐48 weeks

Nurse role: administration of antiviral therapy

Nurse title: Blood Borne Virus nurses

Nurse educational background: unknown

Nurse years of experience: unknown

Nurse additional training: unknown

Data and analyses

Open in table viewer
Comparison 1. Doctor‐nurse substitution study results

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality Show forest plot

8

36529

Risk Ratio (IV, Random, 95% CI)

0.77 [0.57, 1.03]

Analysis 1.1

Comparison 1 Doctor‐nurse substitution study results, Outcome 1 Mortality.

Comparison 1 Doctor‐nurse substitution study results, Outcome 1 Mortality.

2 Physical function (better vs not better) Show forest plot

3

3549

Risk Ratio (Random, 95% CI)

1.03 [0.98, 1.09]

Analysis 1.2

Comparison 1 Doctor‐nurse substitution study results, Outcome 2 Physical function (better vs not better).

Comparison 1 Doctor‐nurse substitution study results, Outcome 2 Physical function (better vs not better).

3 Pain Show forest plot

2

Mean Difference (Random, 95% CI)

0.76 [‐3.85, 5.38]

Analysis 1.3

Comparison 1 Doctor‐nurse substitution study results, Outcome 3 Pain.

Comparison 1 Doctor‐nurse substitution study results, Outcome 3 Pain.

4 Quality of life Show forest plot

6

16002

Std. Mean Difference (Random, 95% CI)

0.16 [0.00, 0.31]

Analysis 1.4

Comparison 1 Doctor‐nurse substitution study results, Outcome 4 Quality of life.

Comparison 1 Doctor‐nurse substitution study results, Outcome 4 Quality of life.

5 Systolic blood pressure Show forest plot

3

1023

Mean Difference (IV, Random, 95% CI)

‐3.73 [‐6.02, ‐1.44]

Analysis 1.5

Comparison 1 Doctor‐nurse substitution study results, Outcome 5 Systolic blood pressure.

Comparison 1 Doctor‐nurse substitution study results, Outcome 5 Systolic blood pressure.

6 Diastolic blood pressure Show forest plot

2

562

Mean Difference (IV, Random, 95% CI)

‐2.54 [‐4.57, ‐0.52]

Analysis 1.6

Comparison 1 Doctor‐nurse substitution study results, Outcome 6 Diastolic blood pressure.

Comparison 1 Doctor‐nurse substitution study results, Outcome 6 Diastolic blood pressure.

7 Total cholesterol Show forest plot

2

702

Mean Difference (IV, Random, 95% CI)

‐0.15 [‐0.32, 0.02]

Analysis 1.7

Comparison 1 Doctor‐nurse substitution study results, Outcome 7 Total cholesterol.

Comparison 1 Doctor‐nurse substitution study results, Outcome 7 Total cholesterol.

8 HbA1c Show forest plot

2

310

Mean Difference (IV, Random, 95% CI)

0.08 [‐0.25, 0.41]

Analysis 1.8

Comparison 1 Doctor‐nurse substitution study results, Outcome 8 HbA1c.

Comparison 1 Doctor‐nurse substitution study results, Outcome 8 HbA1c.

9 Disease Activity Score Show forest plot

2

Mean Difference (Random, 95% CI)

0.04 [‐0.17, 0.24]

Analysis 1.9

Comparison 1 Doctor‐nurse substitution study results, Outcome 9 Disease Activity Score.

Comparison 1 Doctor‐nurse substitution study results, Outcome 9 Disease Activity Score.

10 Patient satisfaction Show forest plot

7

16993

Std. Mean Difference (Random, 95% CI)

0.08 [0.01, 0.15]

Analysis 1.10

Comparison 1 Doctor‐nurse substitution study results, Outcome 10 Patient satisfaction.

Comparison 1 Doctor‐nurse substitution study results, Outcome 10 Patient satisfaction.

11 Length of consultation Show forest plot

4

5848

Std. Mean Difference (Random, 95% CI)

0.38 [0.22, 0.54]

Analysis 1.11

Comparison 1 Doctor‐nurse substitution study results, Outcome 11 Length of consultation.

Comparison 1 Doctor‐nurse substitution study results, Outcome 11 Length of consultation.

12 Scheduled return visits Show forest plot

3

3934

Risk Ratio (Random, 95% CI)

1.31 [0.89, 1.94]

Analysis 1.12

Comparison 1 Doctor‐nurse substitution study results, Outcome 12 Scheduled return visits.

Comparison 1 Doctor‐nurse substitution study results, Outcome 12 Scheduled return visits.

13 Attended return visit Show forest plot

4

5064

Risk Ratio (Random, 95% CI)

1.19 [1.07, 1.33]

Analysis 1.13

Comparison 1 Doctor‐nurse substitution study results, Outcome 13 Attended return visit.

Comparison 1 Doctor‐nurse substitution study results, Outcome 13 Attended return visit.

14 Prescription ordered Show forest plot

4

5702

Risk Ratio (Random, 95% CI)

0.99 [0.95, 1.03]

Analysis 1.14

Comparison 1 Doctor‐nurse substitution study results, Outcome 14 Prescription ordered.

Comparison 1 Doctor‐nurse substitution study results, Outcome 14 Prescription ordered.

15 Investigations Show forest plot

4

3654

Risk Ratio (Random, 95% CI)

0.95 [0.59, 1.51]

Analysis 1.15

Comparison 1 Doctor‐nurse substitution study results, Outcome 15 Investigations.

Comparison 1 Doctor‐nurse substitution study results, Outcome 15 Investigations.

16 Hospital referral Show forest plot

4

17299

Risk Ratio (Random, 95% CI)

0.90 [0.54, 1.49]

Analysis 1.16

Comparison 1 Doctor‐nurse substitution study results, Outcome 16 Hospital referral.

Comparison 1 Doctor‐nurse substitution study results, Outcome 16 Hospital referral.

17 Attendance at accident and emergency Show forest plot

6

29905

Risk Ratio (Random, 95% CI)

1.00 [0.91, 1.09]

Analysis 1.17

Comparison 1 Doctor‐nurse substitution study results, Outcome 17 Attendance at accident and emergency.

Comparison 1 Doctor‐nurse substitution study results, Outcome 17 Attendance at accident and emergency.

18 Hospital admission Show forest plot

3

16466

Risk Ratio (Random, 95% CI)

1.04 [0.78, 1.39]

Analysis 1.18

Comparison 1 Doctor‐nurse substitution study results, Outcome 18 Hospital admission.

Comparison 1 Doctor‐nurse substitution study results, Outcome 18 Hospital admission.

Study flow diagram.
Figuras y tablas -
Figure 1

Study flow diagram.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figuras y tablas -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Comparison 1 Doctor‐nurse substitution study results, Outcome 1 Mortality.
Figuras y tablas -
Analysis 1.1

Comparison 1 Doctor‐nurse substitution study results, Outcome 1 Mortality.

Comparison 1 Doctor‐nurse substitution study results, Outcome 2 Physical function (better vs not better).
Figuras y tablas -
Analysis 1.2

Comparison 1 Doctor‐nurse substitution study results, Outcome 2 Physical function (better vs not better).

Comparison 1 Doctor‐nurse substitution study results, Outcome 3 Pain.
Figuras y tablas -
Analysis 1.3

Comparison 1 Doctor‐nurse substitution study results, Outcome 3 Pain.

Comparison 1 Doctor‐nurse substitution study results, Outcome 4 Quality of life.
Figuras y tablas -
Analysis 1.4

Comparison 1 Doctor‐nurse substitution study results, Outcome 4 Quality of life.

Comparison 1 Doctor‐nurse substitution study results, Outcome 5 Systolic blood pressure.
Figuras y tablas -
Analysis 1.5

Comparison 1 Doctor‐nurse substitution study results, Outcome 5 Systolic blood pressure.

Comparison 1 Doctor‐nurse substitution study results, Outcome 6 Diastolic blood pressure.
Figuras y tablas -
Analysis 1.6

Comparison 1 Doctor‐nurse substitution study results, Outcome 6 Diastolic blood pressure.

Comparison 1 Doctor‐nurse substitution study results, Outcome 7 Total cholesterol.
Figuras y tablas -
Analysis 1.7

Comparison 1 Doctor‐nurse substitution study results, Outcome 7 Total cholesterol.

Comparison 1 Doctor‐nurse substitution study results, Outcome 8 HbA1c.
Figuras y tablas -
Analysis 1.8

Comparison 1 Doctor‐nurse substitution study results, Outcome 8 HbA1c.

Comparison 1 Doctor‐nurse substitution study results, Outcome 9 Disease Activity Score.
Figuras y tablas -
Analysis 1.9

Comparison 1 Doctor‐nurse substitution study results, Outcome 9 Disease Activity Score.

Comparison 1 Doctor‐nurse substitution study results, Outcome 10 Patient satisfaction.
Figuras y tablas -
Analysis 1.10

Comparison 1 Doctor‐nurse substitution study results, Outcome 10 Patient satisfaction.

Comparison 1 Doctor‐nurse substitution study results, Outcome 11 Length of consultation.
Figuras y tablas -
Analysis 1.11

Comparison 1 Doctor‐nurse substitution study results, Outcome 11 Length of consultation.

Comparison 1 Doctor‐nurse substitution study results, Outcome 12 Scheduled return visits.
Figuras y tablas -
Analysis 1.12

Comparison 1 Doctor‐nurse substitution study results, Outcome 12 Scheduled return visits.

Comparison 1 Doctor‐nurse substitution study results, Outcome 13 Attended return visit.
Figuras y tablas -
Analysis 1.13

Comparison 1 Doctor‐nurse substitution study results, Outcome 13 Attended return visit.

Comparison 1 Doctor‐nurse substitution study results, Outcome 14 Prescription ordered.
Figuras y tablas -
Analysis 1.14

Comparison 1 Doctor‐nurse substitution study results, Outcome 14 Prescription ordered.

Comparison 1 Doctor‐nurse substitution study results, Outcome 15 Investigations.
Figuras y tablas -
Analysis 1.15

Comparison 1 Doctor‐nurse substitution study results, Outcome 15 Investigations.

Comparison 1 Doctor‐nurse substitution study results, Outcome 16 Hospital referral.
Figuras y tablas -
Analysis 1.16

Comparison 1 Doctor‐nurse substitution study results, Outcome 16 Hospital referral.

Comparison 1 Doctor‐nurse substitution study results, Outcome 17 Attendance at accident and emergency.
Figuras y tablas -
Analysis 1.17

Comparison 1 Doctor‐nurse substitution study results, Outcome 17 Attendance at accident and emergency.

Comparison 1 Doctor‐nurse substitution study results, Outcome 18 Hospital admission.
Figuras y tablas -
Analysis 1.18

Comparison 1 Doctor‐nurse substitution study results, Outcome 18 Hospital admission.

Nurse‐led primary care compared with doctor‐led primary care for patient outcomes, process of care and utilisation

Patient or population: all presenting patients in primary care

Settings: UK (n = 6), Netherlands (n = 3), USA (n = 3), Canada (n = 3), Sweden (n = 1), Spain (n = 1), South Africa (n = 1)

Intervention: substitution of doctors with nurses for primary care

Comparison: routine doctor‐led primary care

Outcomes

Impact

Number of participants
(studies)

Certainty of the evidence
(GRADE)

Illustrative comparative risks* (95% CI)

Effect estimate
(95% CI)

Results in words

Assumed risk

Corresponding risk

Doctor‐led primary care

Nurse‐led primary care

Mortality

follow‐up:

0.5 to 48 months

Mean = 21 (SD 19) months

6.29 per 1000

4.84 per 1000

(4 to 6)

RR 0.77

(0.57 to 1.03)

Nurse‐led primary care may lead to slightly fewer deaths among certain groups of patients, compared to doctor‐led care. However, the results vary and it is possible that nurse‐led primary care makes little or no difference to the number of deaths.

36,529 (8)1

⊕⊕⊝⊝ a
Low

Patient health status

follow‐up:

0.2 to 47 months

Mean = 14 (SD 12) months

Compared to doctor‐led care, nurse‐led primary care probably slightly improves blood pressure control; probably leads to similar outcomes for diabetes indicators and measures of disease activity and pain in people with rheumatological disorders; may lead to similar outcomes for physical functioning; and leads to similar outcomes for cholesterol

Clinical outcomes (3)

Self‐reported measurements (13)2

⊕⊕⊕⊝ b
Moderate

Satisfaction and preferences

follow‐up:

0.5 to 25 months

Mean = 12 (SD 10) months

Patient satisfaction is probably slightly higher in nurse‐led primary care compared to doctor‐led primary care.

16,993
(7)3

⊕⊕⊕⊝ c
Moderate

Quality of life

follow‐up:

6 to 25 months

Mean = 15 (SD 9) months

Quality of life may be slightly higher in nurse‐led primary care compared to doctor‐led primary care.

16,002
(6)4

⊕⊕⊝⊝d
Low

Process of care

follow‐up:

0.5 to 48 months

Mean = 17 (SD 15) months

We are uncertain of the effects of nurse‐led care on process of care because the certainty of this evidence was assessed as very low.

(10)5

⊕⊝⊝⊝e

Very low

Utilisation (consultations, prescriptions, tests, investigations, and services)

follow‐up:

0.2 to 48 months

Mean = 14 (SD 13) months

Consultations: Compared to doctor‐led primary care, consultation length is probably longer in nurse‐led primary care; there may be little or no difference in scheduled return visits; and the number of return visits attended is slightly higher for nurses.

Prescriptions, tests and investigations: There is little or no difference between nurses and doctors in the number of prescriptions and may be little or no difference in the number of tests and investigations ordered.

Use of other services: There may be little or no difference between nurses and doctors in the likelihood of hospital referrals and hospital admissions; little or no difference in attendance at accident and emergency units.

(16)6

⊕⊕⊕⊝ f
Moderate

Costs

follow‐up:

0.2 to 48 months

Mean = 14 (SD 14) months

We are uncertain of the effects of nurse‐led care on the cost of care because the certainty of this evidence was assessed as very low.

(9)7

⊕⊝⊝⊝ g
Very low

*The basis for the assumed risk is the mean control group risk across studies for pooled results. The corresponding risk is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; RR: risk ratio; SD: standard deviation.

aDowngraded by 1 for imprecision owing to a wide confidence interval that includes no effect and downgraded by 1 for clinical heterogeneity as the trials contributing to this estimate are quite varied (some focus on people with specific health issues and others on more generalist primary care attenders).

bDowngraded by 1. Outcomes were downgraded by 1 for inconsistency, imprecision, indirectness or high risk of bias. The certainty of the evidence is moderate for all outcomes listed, apart for physical functioning for which the certainty of evidence was low and cholesterol for which the certainty of evidence was high.

cDowngraded by 1 for inconsistency.

dDowngraded by 1 for imprecision, due to a wide confidence interval that touches on the null, and 1 for inconsistency

eNon‐comparable results and therefore downgraded to very low.

fDowngraded by 1. Outcomes were downgraded by 1 for inconsistency, imprecision or high risk of bias.

gNon‐comparable results (the types of costs assessed varied widely and a range of different approaches were used to value resources and calculate costs) and therefore downgraded to very low.

1Campbell 2014; Hemani 1999; Lattimer 1998; Ndosi 2013; Sanne 2010; Shum 2000; Spitzer 1973; Voogdt‐Pruis 2010.

2Campbell 2014; Chambers 1978; Chan 2009; Dierick‐van Daele 2009; Houweling 2011; Iglesias 2013; Larsson 2014; Lattimer 1998; Lewis 1967; Moher 2001; Mundinger 2000; Sanne 2010; Shum 2000; Spitzer 1973; Venning 2000; Voogdt‐Pruis 2010.

3Campbell 2014; Dierick‐van Daele 2009; Iglesias 2013; Larsson 2014; Mundinger 2000; Shum 2000; Venning 2000.

4Campbell 2014; Chan 2009; Dierick‐van Daele 2009; Houweling 2011; Mundinger 2000; Ndosi 2013.

5Campbell 2014; Dierick‐van Daele 2009; Houweling 2011; Moher 2001; Mundinger 2000; Ndosi 2013; Shum 2000; Spitzer 1973; Venning 2000; Voogdt‐Pruis 2010.

6Campbell 2014; Chan 2009; Dierick‐van Daele 2009; Hemani 1999; Houweling 2011; Iglesias 2013; Larsson 2014; Lattimer 1998; Lewis 1967; Moher 2001; Mundinger 2000; Ndosi 2013; Shum 2000; Spitzer 1973; Venning 2000; Voogdt‐Pruis 2010.

7Campbell 2014; Chambers 1978; Chan 2009; Dierick‐van Daele 2009; Lattimer 1998; Lewis 1967; Ndosi 2013; Spitzer 1973; Venning 2000.

*there may be additional data in the Campbell 2014 articles that have not been extracted

GRADE Working Group grades of evidence.
High certainty: This research provides a very good indication of the likely effect. The likelihood that the effect will be substantially different is low.
Moderate certainty: This research provides a good indication of the likely effect. The likelihood that the effect will be substantially different is moderate.
Low certainty: This research provides some indication of the likely effect. However, the likelihood that it will be substantially different is high.
Very low certainty: This research does not provide a reliable indication of the likely effect. The likelihood that the effect will be substantially different is very high

Substantially different = a large enough difference that it might affect a decision.

Figuras y tablas -
Table 1. Patient outcome: health status

Study

Various health status outcomes

Chambers 1978

Health status:

‐ Emotional function: no differencea

‐ Social function: no differencea

Chan 2009

Health status:

‐ Severity of symptoms: Nurse group had greatest improvement. Difference adjusted for baseline 2.3 (95% CI 1.4 to 3.1), P < 0.001

Dierick‐van Daele 2009

Health status:

‐ Burden of illness: nurse vs doctor (MD 0.27, P = 0.16)

‐ Concerns about illness: nurse vs doctor (MD 0.11, P = 0.20)

‐ Absence of work: both nurse and doctor 1.11 daysa,b

‐ Ability to perform daily activities: nurse mean 2.53, doctor mean 2.69a,b

Houweling 2011

Objective measures of patient health (MD (95% CI)):

‐ BMI (kg/m2): nurse ‐0.2 (‐0.5; 0.1), doctor ‐0.3 (‐0.6; ‐0.1), P = 0.377

‐ Cholesterol/HDL: nurse ‐0.03 (‐0.1; 0.2), doctor ‐0.07 (‐0.1; ‐0.2), P = 0.321

Health status:

‐ Diabetes symptom score: no differencea,b

‐ Fatigue: no differencea,b

‐ Cognitive distress: no differencea,b

Larsson 2014

Health status:

‐ DAS28‐CRP: nurse vs doctor 0.05 (95% CI ‐0.28 to 0.19, P = 0.70)

‐ ESR (mm/h): nurse vs doctor ‐1.05 (95% CI ‐3.97 to 1.86, P = 0.47)

‐ CRP (mg/L): nurse vs doctor ‐1.07 (95% CI ‐2.02 to ‐0.12, P = 0.03)

‐ Swollen joints (28): nurse vs doctor 0.13 (95% CI ‐2.18 to 0.61, P = 0.60)

‐ Tender joints (28): nurse vs doctor 0.33 (95% CI ‐0.47 to 1.13, P = 0.42)

‐ VAS global health (mm): nurse vs doctor 4.29 (95% CI ‐2.58 to 11.16, P = 0.22)

Lewis 1967

Health status:

‐ Resolution of symptoms in nurse group from 16.33 to 18.39 (possible range 6 to 24; higher scores mean fewer reductions in complaints). Doctors no change. P < 0.02

Moher 2001

Health status (lifestyle factor):

‐ Smoking: no differencea

‐ Blood pressure (mmHg) systolic: nurse 148 (142 to 153), GP 147 (135 to 153), P = 0.82a

‐ Blood pressure (mmHg) diastolic: nurse 80 (74 to 87), GP 81 (75 to 83), P = 0.82a

‐ Cholesterol (mmol/L) total: nurse 5.4 (5.2 to 5.5), GP 5.5 (5.0 to 5.9), P = 0.61a

‐ Cholesterol (mmol/L) high‐density lipoprotein: nurse 1.2 (1.1 to 1.3), GP 1.2 (1.2 to 1.3), P = 0.83a

Mundinger 2000

Health status (10 dimensions): no differenceb

Objective measures of patient health:

‐ Asthma ‐ peak flow: NP 292.82 (94.2), GP 319.90 (136.56), P = 0.365

Ndosi 2013

Health status:

‐ Fatigue ITT: nurse < doctor; mean (95% CI) 3.38 (‐2.01 to 8.76), P = 0.0171

‐ Stiffness ITT: nurse < doctor; mean (95% CI) 8.91 (‐2.66 to 20.5), P = 0.0113

‐ RAQoL ITT: nurse < doctor; mean (95% CI) ‐0.14 (‐1.77 to 1.49), P = 0.0001

‐ HAQ ITT: nurse > doctor; mean (95% CI) ‐0.07 (‐0.21 to 0.07), P < 0.0001

‐ HAD‐Anxiety ITT: nurse < doctor; mean (95% CI) 0.54 (‐0.36 to 1.43), P = 0.0179

‐ HAD‐Depression ITT: nurse < doctor; mean (95% CI) 0.12 (‐0.65 to 0.89), P = 0.0004

‐ ASES ITT: nurse > doctor; mean (95% CI) ‐0.92 (‐4.96 to 3.12), P = 0.0019

Sanne 2010

Health status:

‐ Cumulative failure: nurse 48%, doctor 44% HR (95% CI) 1.09 (0.89 to 1.33)

‐ All virological failure: nurse 11%, doctor 10% HR (95% CI) 1.15 (0.75 to 1.76)

‐ Toxicity failure: nurse 17%, doctor 16% HR (95% CI) 1.04 (0.74 to 1.45)

‐ Death: nurse 3%, doctor 3% HR (95% CI) 0.92 (0.39 to 2.17)

Spitzer 1973

Health status:

‐ Physical function (3 indicators): nurses 86%, doctors 88%b

‐ Emotional function: nurses 58%, doctors 58%b

‐ Social function: nurses 84%, doctors 83%b

Venning 2000

Health status: no differencea

Voogdt‐Pruis 2010

Objective measures of patient health:

‐ LDL cholesterol: nurse 2.9, doctors 3.0, P = 0.07

‐ BMI: nurse 27.2, doctor 27.2, P = 0.87

Health status (lifestyle factor):

‐ Smoking: 4% of smokers in the GP group (4/102)
and 6% in the practice nurse group (4/67)b

Subgroup: at‐risk patients

‐ Systolic blood pressure: nurse 144.0, doctor 147.6, P = 0.1

‐ Total cholesterol: nurse 5.2, doctor 5.6, P = 0.006

‐ LDL cholesterol: nurse 3.1, doctor 3.3, P = 0.16

‐ BMI: nurse 28.6, doctor 28.6, P = 0.78

a Authors reported no effect size or reported effect sizes in graphs (no exact effect sizes extracted).

b No p‐value reported.

ASES: Standardized Shoulder Assessment Form.

BMI: body mass index.

CI: confidence interval.

CRP: C‐reactive protein.

DAS28: disease activity score 28.

ESR: erythrocyte sedimentation rate.

GP: general practitioner.

HAD: Hospital and Anxiety Depression Scale.

HAQ: Health Assessment Questionnaire.

HDL: high‐density lipoprotein.

HR: heart rate.

ITT: intention‐to‐treat.

LDL: low‐density lipoprotein.

MD: mean difference.

NP: nurse practitioner.

RAQoL: Rheumatoid Arthritis Quality of Life Questionnaire.

VAS: visual analogue scale.

*there may be additional data in the Campbell 2014 articles that have not been extracted

Figuras y tablas -
Table 1. Patient outcome: health status
Table 2. Patient outcome: satisfaction and preference

Study

Satisfaction, preference

Campbell 2014

Overall satisfaction: nurse triage vs GP triage MD

2.60 (95% CI 0.58 to 4.63)a

Dierick‐van Daele 2009

Overall satisfaction: nurse vs doctor (0 to 10), MD ‐0.015, P = 0.83

Communication/attitude (1 to 6)

‐ Understanding: nurse vs doctor, MD ‐0.015, P = 0.41

‐ Telling the plan: nurse vs doctor, MD ‐0.02, P = 0.74

‐ Explaination goals and treatment: nurse vs doctor, MD ‐0.01, P = 0.76

‐ Importance advice: nurse vs doctor, MD ‐0.07, P = 0.17

‐ Appropriate attention: nurse vs doctor, MD 0.01, P = 0.78

Provision of information (1 to 6)

‐ Cause of problems: nurse vs doctor, MD ‐0.08, P = 0.21

‐ Relief of symptoms: nurse vs doctor, MD ‐0.04, P = 0.47

‐ Duration of illness: nurse vs doctor, MD ‐0.09, P = 0.25

‐ Change of recurrence: nurse vs doctor, MD ‐0.15, P = 0.08

‐ What to do: nurse vs doctor, MD ‐0.06, P = 0.45

Subgroup at least 1 chronic condition

Satisfaction: NP 8.35 (1.07) vs GP 8.11 (1.32), P = 0.02

Judgement seeing the right professional: P = 0.35b

Attending same provider in future: P = 0.67

Recommendation to others: P = 0.41

Iglesias 2013

Satisfaction:

‐ Satisfaction with duration of the visit (0 to 10): doctor 8.1, nurse 8.4; MD (95% CI%) 0.256 (0.016 to 0.496)a

‐ Satisfaction with personal attention (0 to 10): doctor 8.1, nurse 8.4, MD (95% CI%) 0.240 (0.003 to 0.476)a

‐ Satisfaction with explanations and information received in the visit (0 to 10): doctor 8.3, nurse 8.5, MD (95% CI%) 0.240 (0.015 to 0.495)a

Provider preference:

More than 40% of patients in each group expressed indifference. In the control group, 13.9% of patients would prefer to be seen by a nurse, as opposed to 20.9% in the intervention group.a

Larsson 2014

Confidence:

‐ NRS confidence: nurse vs doctor: 0.20 (95% CI ‐0.29 to 0.69), P = 0.42

Lewis 1967

Provider preference: doctor 5.72 vs nurse 9.80, P < 0.001. Possible range 0 to 20; higher scores indicate a more positive view of the provider.

Mundinger 2000

Satisfaction (9 items): no difference in overall satisfaction, or on any of the 9 subscalesa

Would recommend provider to others: no differencea

Ndosi 2013

Leeds Satisfaction Questionnaire ‐ LSQ

Week 26

‐ LSQ‐General: nurse vs doctor effect size: 0.17, P = 0.036

‐ LSQ‐Information: nurse vs doctor effect size: 0.08, P = 0.327

‐ LSQ‐Empathy: nurse vs doctor effect size: 0.05, P = 0.557

‐ LSQ‐Technical: nurse vs doctor effect size: 0.08, P = 0.293

‐ LSQ‐Attitude: nurse vs doctor effect size: 0.14, P = 0.082

‐ LSQ‐Access: nurse vs doctor effect size: 0.01, P = 0.936

Week 52

‐ LSQ‐General: nurse vs doctor effect size: 0.12, P = 0.183

‐ LSQ‐Information: nurse vs doctor effect size: 0.09, P = 0.301

‐ LSQ‐Empathy: nurse vs doctor effect size: 0.05, P = 0.578

‐ LSQ‐Technical: nurse vs doctor effect size: 0.08, P = 0.369

‐ LSQ‐Attitude: nurse vs doctor effect size: 0.08, P = 0.375

‐ LSQ‐Access: nurse vs doctor effect size: 0.10, P = 0.248

Shum 2000

Satisfaction:

‐ Professional care: nurse 79.2 (13.4) vs GP 76.7 (15.1), possible range 0 to 100, P = 0.002

‐ Relationship to provider: nurse 64.3 (15.7) vs GP 64.2 (16.9), possible range 0 to 100, P = 0.945

‐ Adequacy of time: nurse 73.3 (16.9) vs GP 67.7 (19.3), possible range 0 to 100, P < 0.001

‐ Explanation helpful: nurse 88.8% vs GP 87.3%, P = 0.359

‐ Advice helpful: nurse 86.9% vs GP 83.9%, P = 0.060

Provider preference: GP group: 47.5% prefer GP, 2.0% nurse, 50.5% no preference. Nurse group: 31.5% prefer GP, 7.5% nurse, 61% no preference; P < 0.001

Spitzer 1973

Satisfaction: nurses 96%, doctors 97%a

Venning 2000

Satisfaction:

Adults

‐ Communication: NP 4.35 (0.54) vs GP 4.21 (0.60), P = 0.001

‐ Distress relief: NP 4.43 (0.47) vs GP 4.26 (0.57), P = 0.001

‐ Professional care: NP 4.44 (0.49) vs GP 4.22 (0.57), P < 0.001

Children

‐ General: NP 4.39 (0.46) vs GP 4.17 (0.57), P < 0.001

‐ Communication with parent: no difference

‐ Communication with child: NP 4.16 (0.63) vs GP 3.67 (0.77), P < 0.001

‐ Distress relief: NP 4.41 (0.53) vs GP 4.21 (0.64), P = 0.002

‐ Adherence intent: no difference

ano p‐value reported

b authors reported no effect size or reported effect sizes in graphs (no exact effect sizes extracted)

CI: confidence interval.

GP: general practitioner.

LSQ: Leeds Satisfaction Questionnaire.

MD: mean difference.

NP: nurse practitioner.

NRS: Numeric Rating Scale

*there may be additional data in the Campbell 2014 articles that have not been extracted

Figuras y tablas -
Table 2. Patient outcome: satisfaction and preference
Table 3. Patient outcome: compliance and other

Study

Compliance

Other

Mundinger 2000

Rating information (5 items): no differencea,b

Venning 2000

Enablement: nurse vs GP, MD = 0.65 (CI ‐1.50 to 0.19), P = 0.13

Voogdt‐Pruis 2010

Patient adherence to medical treatment after 1 year of follow‐up nurse vs doctor (95% CI)

Medication blood pressure: 92.2 vs 84.9 (1.06 to 3.73; P = 0.03)

Forgetting to take medication: group difference 1.32 (0.88 to 1.97; P = 0.18)

‐ Never: 52.6 vs 61.0

‐ Sometimes: 46.8 vs 39.0

Patient lifestyle after 1 year of follow‐up nurse vs doctor (95% CI)

‐ Exercise: 28.6 vs 27.3 (0.73 to 1.67; P = 0.79)

‐ Alcohol 5 days per week at most: 78.6 vs 75.5 (0.79 to 2.01; P = 0.33)

‐ Alcohol 2 for woman, 3 for man at most: 79.1 vs 80.6 (0.53 to 1.56; P = 0.73)

‐ Fat intake: 6.5 vs 7.2 (0.02 to 1.28; P = 0.04)

aTrial authors reported only the direction of the outcome; it is unknown if the difference is statistically significant.

bTrial authors reported no effect size or reported effect sizes on graphs (no exact effect sizes extracted).

CI: confidence interval.

GP: general practitioner.

MD: mean difference.

Figuras y tablas -
Table 3. Patient outcome: compliance and other
Table 4. Process of care outcomes

Study

Provider care

Campbell 2014

Difficulty with (nurse triage vs GP triage, MD (95% CI):

Phone access: 6.49 (–1.26 to 14.25)a

Receiving prompt care: 6.63 (3.23 to 10.03)a

Seeing a doctor or nurse: 3.67 (–0.37 to 7.71)a

Getting medical help: 5.09 (2.69 to 7.50)a

Convenience of care 3.68 (1.13 to 6.24)a

Problem resolution: nurse triage vs GP triage: 0.41 (–1.86 to 2.67)a

Process indicators:

‐ Number of contacts per person: nurse vs GP triage: 1·04 (1·01 to 1·08)a

‐ 23% in the GP‐triage group and 12% in the nurse‐triage group had just 1 contact after their initial consultation requestb

Dierick‐van Daele 2009

Adherence to guidelines: nurse 79.8%, doctor 76.2%a,c

Houweling 2011

Process indicators:

‐ Patients with last retina control > 24 months ago (n = 64) referred to an ophthalmologist: nurse 24/34 (70.6) vs GP 11/30 (36.7), P = 0.007

‐ Patients with feet at‐risk (n = 109) for whom measures were taken: nurse 34/60 (56.7) vs GP 13/49 (26.5), P = 0.001

‐ Patients referred to an internist to start insulin therapy: nurse 10/102 (9.8) vs GP 2/104 (1.9), P = 0.015

‐ Patients with HbA1c ≥ 7 at baseline (n = 120), for whom glucose‐lowering therapy was intensified: nurse 53/64 (82.8) vs GP 28/56 (50.0), P = 0.001

‐ Patients with BP > 140/90 at baseline (n = 170) for whom blood pressure‐lowering therapy was intensified: nurse 42/85 (49.4) vs GP 24/85 (28.2), P = 0.005

‐ Patients not meeting target values for lipid profile at baseline (n = 55), for whom lipid‐lowering therapy was intensified: nurse 13/29 (44.8) vs GP 13/26 (50.0), P = 0.147

Moher 2001

Adequate assessment:

‐ Clinical assessment: nurse vs GP: 9% (95% CI ‐3 to 22), P = 0.13

‐ Blood pressure: no differencec

‐ Cholesterol: no differencec

‐ Smoking status: no differencec

Mundinger 2000

Documentation of provider behaviour diabetes care:

‐ Education (8 items): overall ‘any education’: nurse 84,9% vs medical doctor 42.4% (P < 0.001). With regard to specific items, nurse more education: 4 out of 7 topics: nutrition, weight, exercise, and medication (P < 0.01)

‐ History taken (5 items): no difference

‐ Monitoring (9 items): nurse ordered/carried out more laboratory tests, such as urinalysis (nurse 80.2%, medical doctor 55.9%, P < 0.01) and glycosylated haemoglobin (A1C value) (nurse 81.4, medical doctor 66.1, P < 0.05); nurse reported more frequently height of patients (nurse 91.9%, medical doctor 71.2%, P < 0.01). On other 6 items, no difference

‐ Referral (1 item): no differences

Ndosi 2013

Interventions:

‐ Giving patient education: nurse > doctor; RR (95% CI) 1.76 (1.15 to 2.69), P = 0.009

‐ Giving psychosocial support: nurse > doctor; RR (95% CI) 3.29 (2.55 to 4.24), P < 0.0001

Shum 2000

Provision of information:

‐ Self‐medication: nurse 22.2% vs GP 13.7%, P < 0.001

‐ Self‐management: nurse 81.7% vs GP 57.6%, P < 0.001

Spitzer 1973

Adequate treatment:

‐ Drug treatment: nurses 71%, doctors 75%a

‐ Management of episodes: nurses 69%, doctors 66%a

Voogdt‐Pruis 2010

Lifestyle and medical intervention nurse vs doctor:

‐ Smoking behaviour 8.2% vs 3.2%a

‐ Blood pressure 35.4% vs 26.6% (1.01 to 2.24; P = 0.04)

‐ Lipids 47.1 vs 22.3 (1.98 to 4.43; P < 0.01)

‐ Weight 36.9 vs 7.6 (4.26 to 12.52; P < 0.01)

‐ Exercise 19.4 vs 3.2a

‐ Food intake 14.6 vs 3.2a

‐ Medication 22.3 vs 14.7 (0.99 to 2.59; P = 0.05)

‐ None 22.8 vs 43.2 (1.69 to 3.86; P < 0.01)

Asked about the use of medication: nurse vs doctor

Group difference 2.12 (1.38 to 3.26; P < 0.01)

‐ Never 57.4 vs 75.4

‐ Sometimes 20.0 vs 14.4

‐ Often 22.1 vs 9.7

Venning 2000

Examinations: nurse vs GP: MD 0.19 (95% CI ‐0.03 to 0.71), P = 0.072

aNo P value reported.

bTrial authors reported only the direction of the outcome; it remains unknown whether the difference is statistically significant.

cTrial authors reported no effect size or reported effect sizes in graphs (no exact effect sizes extracted).

CI: confidence interval.

GP: general practitioner.

MD: mean difference.

RR: risk ratio.

*there may be additional data in the Campbell 2014 articles that have not been extracted

Figuras y tablas -
Table 4. Process of care outcomes
Table 5. Utilisation outcomes

Study

Number, length, and frequency of consultations

Numbers of prescriptions, tests, and investigations

Use of other services

Dierick‐van Daele 2009

Referrals: nurse 12%, doctor 14.2%, P = 0.24a

Hemani 1999

Compared to qualified doctors

Consultation rate:

Nurses 3.52 vs qualified doctors 4.03 (P > 0.05)

Compared to residents (trainee doctors)

Consultation rate:

Nurses 3.52 vs residents 2.95 (P < 0.05)

Mean utilisation rate:

Compared to qualified doctors

Tests & investigations:

Lab tests: NP 32.67, doctor 29.46, P > 0.05

Radiological tests (total): NP 1.68. doctor 1.37, P > 0.05

‐ CT/MRI: NP 0.32, doctor 0.13, P < 0.05

‐ Ultrasound: NP 0.16, doctor 0.07, P < 0.05

Compared to residents (trainee doctors)

Tests & investigations:

Lab tests: NP 32.67, doctor 28.26, P > 0.05

‐ Urinalysis: NP 1.31, doctor 0.99, P < 0.05

‐ Thyroid function: NP 0.37, doctor 0.19, P < 0.05

Radiological tests: NP 1.68, doctor 1.48, P > 0.05

Mean utilisation rate:

Compared to qualified doctors

Hospital admission: NP 0.43, doctor 0.33, P > 0.05

Emergency room visits: NP 1.22, doctor 1.23, P > 0.05

Specialty visits:

NP 5.35, doctor 4.26, P > 0.05

Compared to residents (trainee doctors)

Hospital admission: NP 0.43, doctor 0.31, P > 0.05

Emergency department visits: NP 1.22, doctor 1.05, P > 0.05

Specialty visits: NP 5.35, doctor 4.21, P > 0.05

Houweling 2011

Mean number of visits: nurse 6.1, GP 2.8 (P < 0.0001)

Total duration of visits: significantly higher in nurse groupa

Consultation of nurses' patients with GP: Median number of these consultations per patient was 1.4 (25 to 75 quartiles: 0.0 to 2.0) with median time of 1.0 (25 to 75 quartiles: 0.0 to 3.3) minute

Iglesias 2013

Level of resolution by nurses:

Nurses led 86.3% (95% CI 83.6 to 88.7) of consultations without referral to GP (referrals according to protocol indication not included)

Larsson 2014

Proportion nurse‐led vs doctor‐led:

‐ Cortisone injections in addition to regular rheumatologist monitoring visits (1:0.7; P = 0.463)

‐ Blood tests (1:3.9; P = 0.014)

‐ Radiography (1:1.6; P = 0.162)

‐ Pharmacological therapy (1:1.1; P = 0.029)

Proportion nurse‐led vs doctor‐led:

‐ Additional telephone calls to a rheumatology nurse (1:1.8; P = 0.060)

‐ Additional telephone calls to a rheumatologist (1:1.9; P =0.287)

‐ Additional rheumatologist visits (1:2.4; P = 0.077)

‐ Team rehabilitation in in‐patient settings (0:79; P = 0.086)

‐ Team rehabilitation in out‐patient settings (15:0; P = 0.135)

‐ Occupational therapist treatments (0:3.0; P = 0.162)

‐ Psychosocial treatments (0:1.0; P = 0.152)

‐ Specialist consultations (1:1.0; P = 0.949)

Lattimer 1998

Impact on GP workload:

‐ Telephone advice from GP: fewer with nurse‐led care, 35% reductionb

‐ Surgery visits: 10% fewer with nurse‐led careb

‐ Home visits: 6% fewer home visits during intervention periodb

Hospital admission within 24 hours: nurse 2%, GP 6.5%, RR 0.31 (95% CI 0.07 to 1.42)

Hospital admission within 3 days: nurse 5%, GP 6.5%, RR 0.77 (95% CI 0.26 to 2.28)

Emergency department visit: nurse 3%, GP 2%, RR 1.84 (95% CI 0.31 to 10.82)

Lewis 1967

Consultation length: doctor 15 minutes, nurse 30 minutesc

Consultation rate: doctor 150 visits, nurse 345 visitsc

Days in hospital: doctor 68 days, nurse 45 daysc

Moher 2001

Prescriptions:

‐ Antihypertensives: no difference, P = 0.35a

‐ Lipid lowering: no difference, P = 0.63a

‐ Antiplatelet: nurse 8% (95% CI 1% to 9%) more than GP (P = 0.031)

Mundinger 2000

Consultation rate: Doctor patients had higher primary care utilisation than nurse
practitioner patients (2.50 vs 1.76 visits, P = 0.05)

Speciality visits: no differenced, P = 0.61

Ndosi 2013

Consultation length:

Mean total consultation time: nurse 111 min, doctor 71 mina,b

Consultation rate:

Patients attending all 5 sessions: nurse 92%, doctor 85%a,b

‐ Change in medicines: nurse < doctor; RR (95% CI) 0.58 (0.43 to 0.79), P = 0.0006

‐ Dosage changes: nurse < doctor; RR (95% CI) 0.52 (0.34 to 0.79), P = 0.0020

‐ Intra‐articular injections: nurse < doctor; RR (95% CI) 0.82 (0.50 to 1.35), P = 0.4400

‐ Intramusclar injections: nurse < doctor; RR (95% CI) 0.73 (0.45 to 1.19), P = 0.2100

‐ Non‐protocol bloods: nurse < doctor; RR (95% CI) 1.02 (0.74 to 1.40), P = 0.9100

‐ Referral to physiotherapy: nurse < doctor; RR (95% CI) 1.21 (0.62 to 2.39), P = 0.5800

‐ Referral to occupational therapy: nurse < doctor; RR (95% CI) 1.74 (0.76 to 3.96), P = 0.1900

‐ Referral to podiatry: nurse < doctor; RR (95% CI) 0.89 (0.37 to 2.14), P = 0.8000

‐ Conferrals: nurse < doctor; RR (95% CI) 2.92 (1.77 to 4.83), P < 0.0001

‐ Referral to other consultants: nurse < doctor; RR (95% CI) 0.58 (0.11 to 3.11), P = 0.5200

Shum 2000

Out‐of‐hours calls: nurse 0.9% vs GP 1.8%, P = 0.218

Venning 2000

Physical examinations: nurse vs GP; MD 0.19 (95% CI ‐0.03 to 0.71), P = 0.072

Voogdt‐Pruis 2010

Referred to professional nurse vs doctor:

‐ Dietician 17.0 vs 8.9b

‐ Physiotherapist 3.1 vs 1.9b

‐ Cardiovascular specialist 1.9 vs 6.3b

‐ Visited a cardiovascular specialist 46.3 vs 45.3 (0.84 to 1.79; P = 0.30)

‐ Admission into hospital because of CVD 10.4 vs 13.4 (0.43 to 1.38; P = 0.38)

aTrial authors reported no effect size or reported effect sizes in graphs (no exact effect sizes extracted).

bNo P value reported.

cTrial authors reported only the direction of the outcome; it remains unknown whether the difference is statistically significant.

dToo many numbers to report.

CI: confidence interval.

CT: computed tomography.

CVD: cardiovascular disease.

GP: general practitioner.

MRI: magnetic resonance imaging.

NP: nurse practitioner.

RR: risk ratio.

*there may be additional data in the Campbell 2014 articles that have not been extracted

Figuras y tablas -
Table 5. Utilisation outcomes
Table 6. Utilisation; cost outcomes

Study

Costs based on

Cost outcomes

Campbell 2014

  • Staff training

  • Setup of the interventions

  • Cost of computer decision support software in nurse triage

  • Clinician triage time

  • Patient‐level quantities of resource use on other primary care contacts

Total costs:

Mean 28‐day cost estimates for primary outcome contacts:

Nurses ‐ £75·68 (63·09)

GPs ‐ £75·21 (65·45)

Chan 2009

  • Medication use

Costs of medication use:

Nurses – mean £35.5 (SD £48.8)

Doctors – mean £71.7 (SD £ 63.1)

Mean difference (adjusted baseline level): £39.6 (95% CI 24.2 to 55.1); P < 0.001

Dierick‐van Daele 2009

  • Direct healthcare costs

  • Prescriptions

  • Diagnostic procedures

  • Referrals (in the 2 weeks after consultation)

  • Follow‐up consultation

  • Length of consultations

  • Salary costs

  • Costs outside the healthcare sector

  • Sick leave days

Total direct healthcare costs:

Nurses: €31.94

Doctors: €40.15

Mean difference (95% CI):

€8.21 (3.56 to 12.85); P = 0.001

Total direct healthcare costs and productivity:

Nurses: €140.40

Doctors: €145.87

Mean difference (95% CI):

€1.48 (‐4.94 to 7.90); P = 0.65

Subgroup younger than 65 years:

Total direct healthcare costs and productivity:

Nurses: €161.57

Doctors: €170.75

Mean difference (95% CI):

€9.18 (4.84 to 13.88); P < 0.001

Larsson 2014

  • Fixed monitoring (monitoring visit at 6 months to a rheumatology nurse, a rheumatologist; for both groups, a monitoring visit at 12 months to a rheumatologist and monitoring blood tests)

  • Variable monitoring (additional telephone calls to a rheumatology nurse, additional telephone calls to a rheumatologist (additional rheumatologist visits, cortisone injections in addition to regular rheumatologist monitoring visits, and additional blood tests))

  • Rehabilitation (team rehabilitation days of care in in‐patient and out‐patient settings, individual physiotherapy treatments, occupational therapist treatments, and psychosocial treatments)

  • Specialist consultations (orthopaedic surgeon, hand surgeon, dermatologist, and orthotist)

  • Radiography (standard x‐ray and dual energy x‐ray absorptiometry (DEXA) scanning)

  • Pharmacological therapy

Total annual rheumatology care per patient:

Nurse‐led: €14107,70

Doctor‐led: €16274,90

Mean difference (95% CI):

−2167.2 (−3757.3 to −641.7)

P = 0.004

Lattimer 1998

  • Costs for nurse telephone consultation

  • Recruitment

  • Nurse salaries

  • Indemnity insurance

  • Co‐operative management

  • Education programme

  • 1 H grade – 0.25 whole time equivalent

  • 10 days lecturer B

  • Technical support

  • Computers

  • Decision support software

  • Furniture

  • Telephones

  • Digital tape recorder

  • Savings

  • Emergency hospital admission

  • Home visits by general practitioner

  • Surgery attendance within 3 days

Annual direct cost:Nurse‐led service: ‐ £81,237 more than doctor‐led service

Savings:

Generated in reduced hospital and primary care utilisation £94,422

Net reduction in costs:with nurse‐led service

£3,728 to £123,824 (determined by sensitivity analysis)

Lewis 1967

  • Cost per hour of the time of doctors and nurses

  • Length of visits

  • Total number of visits

  • Total days of in‐patient care

  • Unknown other costs

Total direct cost per year:

Nurses ‐ $3,251

Doctors ‐ $4,199

Average cost per patient per year:

Nurses ‐ $98.51

Doctors ‐ $127.24

Ndosi 2013

  • Resource use

  • Healthcare professional consultations (primary and secondary care)

  • Hospital admissions (day care, in‐patient stays, A&E visits)

  • Investigations and treatments including over‐the‐counter medications

  • Private out‐of‐pocket expenditures

  • Healthcare service use

  • Travel

  • Medication

  • Aids

  • Special dietary requirements

  • Productivity losses

NHS resources plus out‐of‐pocket expenditures:

Nurses ‐ mean £1276

Doctors ‐ mean £2286

(95% CI ‐352 to 1773)

P = 0.1872

Spitzer 1973a

  • Doctors

  • Nurses (including nurse practitioners)

  • Hospital and extended care

  • Dentists

  • Optometrists/Opticians

  • Chiropractors

  • Podiatrists

  • Laboratory

  • Diagnostic radiography

  • Direct cash expenditures

Average cost per patient per year:

Nurses ‐ $297.01

Doctors – $285.67

Venning 2000

  • Basic salary costs of each healthcare professional

  • Prescriptions

  • Tests

  • Referrals

  • Return consultations in the following 2 weeks

Total direct cost per consultation:

Nurses – mean £18.11 (SD £33.43; range £0.66 to £297.1)

Doctors – mean £20.70 (SD £33.43; range £0.78 to £300.6)

Mean difference (adjusted age, sex): £2.33 (95% CI 1.62 to 6.28); P = 0.247

aSpitzer reported an overall reduction in practice costs following the introduction of nurse practitioners, but this finding was based on observational before‐and‐after data. Data obtained from the related randomised controlled trial (reported above) did not support this finding.

A&E: accident and emergency.

CI: confidence interval.

DEXA: dual energy x‐ray absorptiometry.

GP: general practitioner.

*there may be additional data in the Campbell 2014 articles that have not been extracted

Figuras y tablas -
Table 6. Utilisation; cost outcomes
Table 7. Methodological differences with published reviews on care delivered by nurses compared to doctors in primary care

Focus of other reviews

Differences from our review

Does not include meta‐analyses

Includes nurses working as supplements according to our definition

Includes non‐randomised studies

Focusses on particular countries

Has a particular focus on cost outcomes

Bonsall 2008

This literature review assesses the impact of advanced primary care nursing roles, particularly first contact nursing roles, for patients, nurses themselves, and their colleagues.

x

x

x

Hollinghurst 2006

This study used the literature search Horrocks 2002 and aims to estimate resource use for a typical same‐day primary care consultation and the cost difference of employing an extra salaried GP or nurse practitioner.

x

UK

x

Horrocks 2002

This systematic review compares effects of nurse practitioners and doctors providing care at first point on patient satisfaction, health status, process measures, and quality of care.

x

x

Developed countries

Martínez‐González 2014a; Martínez‐González 2014b; Martínez‐González 2015a; Martínez‐González 2015b; Martínez‐González 2015c

Several systematic reviews investigating effects of nurses working as substitutes for doctors in primary care on clinical effectiveness, course of disease, process care, resource utilisation, and costs.

x

Martin‐Misener 2015

This systematic review determines the cost‐effectiveness of nurse practitioners delivering primary and specialised ambulatory care.

x

x

Naylor 2010

This structured literature review investigates the value of advance practice nurses in delivering primary care, with a particular emphasis on the contributions of nurse practitioners.

x

x

x

Newhouse 2011

This systematic reviews compares patient outcomes of care by advanced practice registered nurses (APRNs) to care by other providers (doctors or teams without APRNs).

x

x

x

USA

Swan 2015

This systematic review includes 10 studies evaluating the cost and quality of care provided by APRNs in primary care.

x

APRN: advanced practice registered nurse.

Figuras y tablas -
Table 7. Methodological differences with published reviews on care delivered by nurses compared to doctors in primary care
Comparison 1. Doctor‐nurse substitution study results

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality Show forest plot

8

36529

Risk Ratio (IV, Random, 95% CI)

0.77 [0.57, 1.03]

2 Physical function (better vs not better) Show forest plot

3

3549

Risk Ratio (Random, 95% CI)

1.03 [0.98, 1.09]

3 Pain Show forest plot

2

Mean Difference (Random, 95% CI)

0.76 [‐3.85, 5.38]

4 Quality of life Show forest plot

6

16002

Std. Mean Difference (Random, 95% CI)

0.16 [0.00, 0.31]

5 Systolic blood pressure Show forest plot

3

1023

Mean Difference (IV, Random, 95% CI)

‐3.73 [‐6.02, ‐1.44]

6 Diastolic blood pressure Show forest plot

2

562

Mean Difference (IV, Random, 95% CI)

‐2.54 [‐4.57, ‐0.52]

7 Total cholesterol Show forest plot

2

702

Mean Difference (IV, Random, 95% CI)

‐0.15 [‐0.32, 0.02]

8 HbA1c Show forest plot

2

310

Mean Difference (IV, Random, 95% CI)

0.08 [‐0.25, 0.41]

9 Disease Activity Score Show forest plot

2

Mean Difference (Random, 95% CI)

0.04 [‐0.17, 0.24]

10 Patient satisfaction Show forest plot

7

16993

Std. Mean Difference (Random, 95% CI)

0.08 [0.01, 0.15]

11 Length of consultation Show forest plot

4

5848

Std. Mean Difference (Random, 95% CI)

0.38 [0.22, 0.54]

12 Scheduled return visits Show forest plot

3

3934

Risk Ratio (Random, 95% CI)

1.31 [0.89, 1.94]

13 Attended return visit Show forest plot

4

5064

Risk Ratio (Random, 95% CI)

1.19 [1.07, 1.33]

14 Prescription ordered Show forest plot

4

5702

Risk Ratio (Random, 95% CI)

0.99 [0.95, 1.03]

15 Investigations Show forest plot

4

3654

Risk Ratio (Random, 95% CI)

0.95 [0.59, 1.51]

16 Hospital referral Show forest plot

4

17299

Risk Ratio (Random, 95% CI)

0.90 [0.54, 1.49]

17 Attendance at accident and emergency Show forest plot

6

29905

Risk Ratio (Random, 95% CI)

1.00 [0.91, 1.09]

18 Hospital admission Show forest plot

3

16466

Risk Ratio (Random, 95% CI)

1.04 [0.78, 1.39]

Figuras y tablas -
Comparison 1. Doctor‐nurse substitution study results