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Referencias

References to studies included in this review

Altiner 2007 {published data only}

Altiner A, Brockmann S, Sielk M, Wilm S, Wegscheider K, Abholz HH. Reducing antibiotic prescriptions for acute cough by motivating GPs to change their attitudes to communication and empowering patients: a cluster‐randomized intervention study. Journal of Antimicrobial Chemotherapy 2007;60:638‐44. CENTRAL

Briel 2006 {published data only}

Briel M, Langewitz W, Tschudi P, Young J, Hugenschmidt C, Bucher HC. Communication training and antibiotic use in acute respiratory tract infections. A cluster randomised controlled trial in general practice. Swiss Medical Weekly 2006;136:241‐7. CENTRAL

Butler 2012 {published data only}

Butler CC, Simpson SA, Dunstan F, Rollnick S, Cohen D, Gillespie D, et al. Effectiveness of multifaceted educational programme to reduce antibiotic dispensing in primary care: practice based randomised controlled trial. BMJ 2012;344:d8173. CENTRAL

Cals 2009 {published data only}

Cals JW, Butler CC, Hopstaken RM, Hood K, Dinant GJ. Effect of point of care testing for C reactive protein and training in communication skills on antibiotic use in lower respiratory tract infections: cluster randomised trial. BMJ 2009;338:b1374. CENTRAL

Cals 2013 {published data only}

Cals JW, de Bock L, Beckers PJ, Francis NA, Hopstaken RM, Hood K, et al. Enhanced communication skills and C‐reactive protein point‐of‐care testing for respiratory tract infection: 3.5‐year follow‐up of a cluster randomized trial. Annals of Family Medicine 2013;11:157‐64. CENTRAL

Francis 2009 {published data only}

Francis NA, Butler CC, Hood K, Simpson S, Wood F, Nuttall J. Effect of using an interactive booklet about childhood respiratory tract infections in primary care consultations on reconsulting and antibiotic prescribing: a cluster randomised controlled trial. BMJ 2009;339:b2885. CENTRAL

Légaré 2011 {published data only}

Légaré F, Labrecque M, LeBlanc A, Njoya M, Laurier C, Cote L, et al. Training family physicians in shared decision making for the use of antibiotics for acute respiratory infections: a pilot clustered randomized controlled trial. Health Expectations 2011;14(Suppl 1):96‐110. CENTRAL

Légaré 2012 {published data only}

Legare F, Labrecque M, Cauchon M, Castel J, Turcotte S, Grimshaw J. Training family physicians in shared decision‐making to reduce the overuse of antibiotics in acute respiratory infections: a cluster randomized trial. Canadian Medical Association Journal 2012;184:E726‐34. CENTRAL

Little 2013 {published data only}

Little P, Stuart B, Francis N, Douglas E, Tonkin‐Crine S, Anthierens S, et al. Effects of internet‐based training on antibiotic prescribing rates for acute respiratory‐tract infections: a multinational, cluster, randomised, factorial, controlled trial. Lancet 2013;382:1175‐82. CENTRAL

Welschen 2004 {published data only}

Welschen I, Kuyvenhoven MM, Hoes AW, Verheij TJ. Effectiveness of a multiple intervention to reduce antibiotic prescribing for respiratory tract symptoms in primary care: randomised controlled trial. BMJ 2004;329:431. CENTRAL

References to studies excluded from this review

Bourgeois 2010 {published data only}

Bourgeois F, Linder J, Johnson S, Co J, Fiskio J, Ferris T. Impact of a computerized template on antibiotic prescribing for acute respiratory infections in children and adolescents. Clinical Pediatrics 2010;49:976‐83. CENTRAL

Gonzales 2013 {published data only}

Gonzales R, Anderer T, McCulloch C, Maselli J, Bloom Jr F, Graf T, et al. A cluster randomized trial of decision support strategies for reducing antibiotic use in acute bronchitis. JAMA Internal Medicine 2013;173:267‐73. CENTRAL

Pshetizky 2003 {published data only}

Pshetizky Y, Naimer S, Shvartzman P. Acute otitis media‐‐a brief explanation to parents and antibiotic use. Family Practice 2003;20:417‐9. CENTRAL

Regev‐Yochay 2011 {published data only}

Regev‐Yochay G, Raz M, Dagan R, Roizin H, Morag B, Hetman S, et al. Reduction in antibiotic use following a cluster randomized controlled multifaceted intervention: the Israeli Judicious Antibiotic Prescription Study. Clinical Infectious Diseases 2011;53:33‐41. CENTRAL

Samore 2005 {published data only}

Samore M, Bateman K, Alder S, Hannah E, Donnelly S, Stoddard G, et al. Clinical decision support and appropriateness of antimicrobial prescribing: a randomized trial. JAMA 2005;294:2305‐14. CENTRAL

Taylor 2005 {published data only}

Taylor J, Kwan‐Gett T, McMahon Jr E. Effectiveness of a parental educational intervention in reducing antibiotic use in children: a randomized controlled trial. Pediatric Infectious Disease Journal 2005;24:489‐93. CENTRAL

Altiner 2012 {published data only}

Altiner A, Berner R, Diener A, Feldmeier G, Kochling A, Loffler C, et al. Converting habits of antibiotic prescribing for respiratory tract infections in German primary care‐‐the cluster‐randomized controlled CHANGE‐2 trial. BMC Family Practice 2012;13:124. CENTRAL

Ahovuo‐Saloranta 2014

Ahovuo‐Saloranta A, Rautakorpi UM, Borisenko OV, Liira H, Williams JW, Makela M. Antibiotics for acute maxillary sinusitis in adults. Cochrane Database of Systematic Reviews 2014, Issue 2. [DOI: 10.1002/14651858.CD000243.pub3]

Andrews 2012

Andrews T, Thompson M, Buckley DI, Heneghan C, Deyo R, Redmond N, et al. Interventions to influence consulting and antibiotic use for acute respiratory tract infections in children: a systematic review and meta‐analysis. PloS One 2012;7(1):e30334. [PUBMED: 22299036]

Arnold 2005

Arnold SR, Straus SE. Interventions to improve antibiotic prescribing practices in ambulatory care. Cochrane Database of Systematic Reviews 2005, Issue 4. [DOI: 10.1002/14651858.CD003539.pub2]

Arroll 2002

Arroll B, Goodyear‐Smith F, Thomas DR, Kerse N. Delayed antibiotic prescriptions: what are the experiences and attitudes of physicians and patients?. Journal of Family Practice 2002;51:954‐9.

Boonacker 2010

Boonacker CW, Hoes AW, Dikhoff MJ, Schilder AG, Rovers MM. Interventions in health care professionals to improve treatment in children with upper respiratory tract infections. International Journal of Pediatric Otorhinolaryngology 2010;74(10):1113‐21. [PUBMED: 20692051]

Butler 1998

Butler CC, Rollnick S, Kinnersley P, Jones A, Stott N. Reducing antibiotics for respiratory tract symptoms in primary care: consolidating 'why' and considering 'how'. British Journal of General Practice 1998;48:1865‐70.

Butler 2001

Butler CC, Kinnersley P, Prout H, Rollnick S, Edwards A, Elwyn G. Antibiotics and shared decision‐making in primary care. Journal of Antimicrobial Chemotherapy 2001;48:435‐40.

Charles 1997

Charles C, Gafni A, Whelan T. Shared decision‐making in the medical encounter: what does it mean? (or it takes at least two to tango). Social Science & Medicine 1997;44:681‐92.

Chung 2007

Chung A, Perera R, Brueggemann AB, Elamin AE, Harnden A, Mayon‐White R, et al. Effect of antibiotic prescribing on antibiotic resistance in individual children in primary care: prospective cohort study. BMJ 2007;335:429.

Costelloe 2010

Costelloe C, Metcalfe C, Lovering A, Mant D, Hay AD. Effect of antibiotic prescribing in primary care on antimicrobial resistance in individual patients: systematic review and meta‐analysis. BMJ 2010;340:c2096.

Coyne 2013

Coyne I, O'Mathuna DP, Gibson F, Shields L, Sheaf G. Interventions for promoting participation in shared decision‐making for children with cancer. Cochrane Database of Systematic Reviews 2013, Issue 6. [DOI: 10.1002/14651858.CD008970.pub2]

Duncan 2010

Duncan E, Best C, Hagen S. Shared decision making interventions for people with mental health conditions. Cochrane Database of Systematic Reviews 2010, Issue 1. [DOI: 10.1002/14651858.CD007297.pub2]

Elwyn 2003

Elwyn G, Edwards A, Wensing M, Hood K, Atwell C, Grol R. Shared decision making: developing the OPTION scale for measuring patient involvement. Quality & Safety in Health Care 2003;12(2):93‐9. [PUBMED: 12679504]

Elwyn 2012

Elwyn G, Frosch D, Thomson R, Joseph‐Williams N, Lloyd A, Kinnersley P, et al. Shared decision making: a model for clinical practice. Journal of General Internal Medicine 2012;27:1361‐7.

Elwyn 2013

Elwyn G, Lloyd A, Joseph‐Williams N, Cording E, Thomson R, Durand MA, et al. Option Grids: shared decision making made easier. Patient Education and Counseling 2013;90:207‐12.

Giguere 2012

Giguere A, Legare F, Grad R, Pluye P, Haynes RB, Cauchon M, et al. Decision boxes for clinicians to support evidence‐based practice and shared decision making: the user experience. Implementation Science 2012;7:72.

Gill 2006

Gill JM, Fleischut P, Haas S, Pellini B, Crawford A, Nash DB. Use of antibiotics for adult upper respiratory infections in outpatient settings: a national ambulatory network study. Family Medicine 2006;38:349‐54.

Gillies 2015

Gillies M, Ranakusuma A, Hoffmann T, Thorning S, McGuire T, Glasziou P, et al. Common harms from amoxicillin: a systematic review and meta‐analysis of randomized placebo‐controlled trials for any indication. Canadian Medical Association Journal 2015;187(1):E21‐31. [PUBMED: 25404399]

Gonzales 1997

Gonzales R, Steiner JF, Sande MA. Antibiotic prescribing for adults with colds, upper respiratory tract infections, and bronchitis by ambulatory care physicians. JAMA 1997;278:901‐4.

Gonzales 2001

Gonzales R, Malone DC, Maselli JH, Sande MA. Excessive antibiotic use for acute respiratory infections in the United States. Clinical Infectious Diseases 2001;33:757‐62.

GRADE Working Group 2004

GRADE Working Group. Grading quality of evidence and strength of recommendations. BMJ 2004;328:1490‐4. [DOI: http://dx.doi.org/10.1136/bmj.328.7454.1490]

GRADEproGDT 2015 [Computer program]

McMaster University (developed by Evidence Prime, Inc.). GRADEpro Guideline Development Tool [www.guidelinedevelopment.org] [Computer program]. Version 12 August 2015. Hamilton: McMaster University (developed by Evidence Prime, Inc.), 2015.

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. Available from www.cochrane‐handbook.org.

Hoffmann 2014

Hoffmann T, Glasziou P, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ (Clinical research ed.) 2014;348:g1687. [PUBMED: 24609605]

Kenealy 2013

Kenealy T, Arroll B. Antibiotics for the common cold and acute purulent rhinitis. Cochrane Database of Systematic Reviews 2013, Issue 6. [DOI: 10.1002/14651858.CD000247.pub3]

Kinnersley 2007

Kinnersley P, Edwards A, Hood K, Cadbury N, Ryan R, Prout H, et al. Interventions before consultations for helping patients address their information needs. Cochrane Database of Systematic Reviews 2007, Issue 3. [DOI: 10.1002/14651858.CD004565.pub2]

Légaré 2013

Légaré F, Moumjid‐Ferdjaoui N, Drolet R, Stacey D, Härter M, et al. Core competencies for shared decision making training programs: insights from an international, interdisciplinary working group. Journal of Continuing Education in the Health Professions 2013;33(4):267‐73. [DOI: 10.1002/chp.21197]

Légaré 2014

Légaré F, Stacey D, Turcotte S, Cossi MJ, Kryworuchko J, Graham ID, et al. Interventions for improving the adoption of shared decision making by healthcare professionals. Cochrane Database of Systematic Reviews 2014, Issue 9. [DOI: 10.1002/14651858.CD006732.pub3]

Makoul 2006

Makoul G, Clayman ML. An integrative model of shared decision making in medical encounters. Patient Education and Counseling 2006;60:301‐12.

Prochaska 1992

Prochaska JO, DiClemente CC, Norcross JC. In search of how people change. Applications to addictive behaviors.. American Psychologist 1992;47:1102–14.

Ranji 2008

Ranji SR, Steinman MA, Shojania KG, Gonzales R. Interventions to reduce unnecessary antibiotic prescribing: a systematic review and quantitative analysis. Medical Care 2008;46(8):847‐62. [PUBMED: 18665065]

RevMan 2014 [Computer program]

The Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager (RevMan). Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Smith 2014

Smith SM, Fahey T, Smucny J, Becker LA. Antibiotics for acute bronchitis. Cochrane Database of Systematic Reviews 2014, Issue 3. [DOI: 10.1002/14651858.CD000245.pub3]

Spatz 2012

Spatz ES, Spertus JA. Shared decision making: a path toward improved patient‐centered outcomes. Circulation: Cardiovascular Quality and Outcomes 2012;5:e75‐7.

Spinks 2013

Spinks A, Glasziou PP, Del Mar CB. Antibiotics for sore throat. Cochrane Database of Systematic Reviews 2013, Issue 11. [DOI: 10.1002/14651858.CD000023.pub4]

Stacey 2014

Stacey D, Legare F, Col NF, Bennett CL, Barry MJ, Eden KB, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews 2014, Issue 1. [DOI: 10.1002/14651858.CD001431.pub4]

Thoolen 2013

Thoolen B, de Ridder D, van Lensvelt‐Mulders G. Patient‐oriented interventions to improve antibiotic prescribing practices in respiratory tract infections: a meta‐analysis. Health Psychology Review 2012;6 Special Issue(1):92‐112.

van der Velden 2012

van der Velden AW, Pijpers EJ, Kuyvenhoven MM, Tonkin‐Crine SK, Little P, Verheij TJ. Effectiveness of physician‐targeted interventions to improve antibiotic use for respiratory tract infections. British Journal of General Practice 2012;62(605):e801‐7. [PUBMED: 23211259]

Venekamp 2015

Venekamp RP, Sanders S, Glasziou PP, Del Mar CB, Rovers MM. Antibiotics for acute otitis media in children. Cochrane Database of Systematic Reviews 2015, Issue 6. [DOI: 10.1002/14651858.CD000219.pub4]

Vodicka 2013

Vodicka TA, Thompson M, Lucas P, Heneghan C, Blair PS, Buckley DI, et al. Reducing antibiotic prescribing for children with respiratory tract infections in primary care: a systematic review. British Journal of General Practice 2013;63(612):e445‐54. [PUBMED: 23834881]

WHO 2001

World Health Organization. WHO Global Strategy for Containment of Antimicrobial Resistance. http://www.who.int/csr/resources/publications/drugresist/en/EGlobal_Strat.pdf. Geneva, 2001 (accessed 15 July 2013).

WHO 2012

World Health Organization. The evolving threat of antimicrobial resistance: options for action. http://whqlibdoc.who.int/publications/2012/9789241503181_eng.pdf 2012 (accessed 15 July 2013).

Wood 2013

Wood F, Phillips C, Brookes‐Howell L, Hood K, Verheij T, Coenen S, et al. Primary care clinicians' perceptions of antibiotic resistance: a multi‐country qualitative interview study. Journal of Antimicrobial Chemotherapy 2013;68:237‐43.

References to other published versions of this review

Coxeter 2014

Coxeter P, Hoffmann T, Del Mar Chris B. Shared decision making for acute respiratory infections in primary care. Cochrane Database of Systematic Reviews 2014, Issue 1. [DOI: 10.1002/14651858.CD010907]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Altiner 2007

Methods

Study design: cluster‐randomised controlled trial

Unit of randomisation: general practitioner (GP)

Trial duration: November 2003 to March 2005

Recruitment: 2036 GPs from 9 regions in North‐Rhine and Westphalia‐Lippe, Germany, invited to participate (blinded to the primary outcome); of 239 GPs willing to participate and receiving baseline materials, 104 completed reliable baseline study documentation and were randomised (10 practice partners randomised as pairs) into intervention (GPs = 52, patients = 1389) and control groups (GPs = 52, patients = 1398)

Methods of data collection: GPs recorded all consecutive and eligible patients during each documentation period on study specific paper documentation

Data collection time points: 3 documentation intervals of 6 weeks each: baseline (before randomisation), and 6 weeks and 12 months post‐intervention

Length of follow‐up: 12 months

Participants

GPs documented all consecutive and eligible patients: ≥ 16 years of age with an initial episode of acute cough (without prior episode < 8 weeks) and could comprehend German

Exclusion: patients with underlying chronic lung diseases (e.g. asthma, chronic obstructive pulmonary disease), immune deficiency or malignant diseases

Interventions

Brief intervention name: complex, peer‐led, educational intervention

Recipients: GPs and patients (passive)

Providers: GP peers were trained to provide (in 3 sessions) the outreach visits in clinics during normal working hours (methods of training these GP peers were not specified)

Health professional components: focused on antibiotic 'misunderstanding' during a consultation, and aimed to motivate GPs to change attitudes to communication and empower patients. Peers addressed GP beliefs and attitudes by exploring and evaluating GPs 'opposite' motivational background using a standardised dialogue script and communication techniques derived from the elaboration likelihood model. Aspects of the intervention were also informed by previous qualitative work

Patients: waiting room poster and leaflet focusing on the patients' role within the antibiotic misunderstanding (e.g. GP perceptions that patients expect an antibiotic) and also brief evidence‐based information about acute cough and antibiotics to enable patients to raise and clarify issues and make a joint decision about antibiotic use with their doctor

Materials: waiting room poster and leaflet (patient only); script used by GP peers

Mode of delivery: face‐to‐face (GPs) and waiting room posters and leaflets (patients)

Duration and intensity: 1 peer outreach visit per GP (duration not specified)

Comparator: nil active comparator; GPs provided usual care

Outcomes

Primary: rate of antibiotic prescriptions per acute cough and by GP (study specific paper documentation)

Secondary: nil

Notes

Funding: yes

Conflict of interest: none disclosed

Published trial protocol: no

Trial registration: yes

Ethics approval: yes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Program‐generated complete randomisation list

Allocation concealment (selection bias)

Low risk

Not described. However, GPs recruited prior to randomisation

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible (complex peer‐led educational intervention)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Participating GPs sent data to researchers. Each patient was assigned a unique identification number that could be connected with the patient only by the participating GP

Incomplete outcome data (attrition bias)
All outcomes

High risk

Randomised: 104 GPs (intervention = 52, 1389 patients; control = 52, 1398 patients)

6 weeks post‐intervention: 86 GPs (intervention = 42 (80%), patients = 1021; control = 44 (84%), patients = 1143)

12 months post‐intervention: 61 GPs (intervention = 28 (54%); 787 patients; control = 33 (63%); 920 patients)

17% (18/104) dropped out at 6 weeks and 41% (43/104) by 12 months (reasons for GPs' exclusion from analysis: poor data quality or did not return data)

Cluster‐level sensitivity analysis performed to explore effect of differential missing values

Selective reporting (reporting bias)

Low risk

All indicated results reported. Prospective trial registration: Projektdatenbank Versorgungsforschung NRW, ID: 90/34/CHANGE

Other bias

Unclear risk

Sample size (power) calculation: yes. Sample size calculated on number of patients to detect a 10% difference in 6‐month prescription rates (50% control, 40% intervention). Allowing for 20% drop‐out rate, it was estimated 200 GPs would be required to contribute 20 patients during each observation period (i.e. 4000 at each of the 3 documentation periods)

ITT or per protocol analysis: no, all analysis (with exception of sensitivity analyses) included only general practices with complete follow‐up

Large baseline difference found in antibiotic prescription rates between intervention and control groups (36.4% versus 54.7%) (unadjusted and adjusted analysis performed)

GPs were not monitored during the trial period and may have under‐reported patients who received an antibiotic

Government regulatory change during study to exclude OTC medicines from reimbursement by German statutory health insurance funds may have increased antibiotic prescribing decisions to minimise patient out‐of‐pocket cost

Generalised estimating equation (GEE) models applied

Intraclass correlation (coefficient): 0.20

Briel 2006

Methods

Study design: cluster‐randomised controlled trial

Unit of randomisation: general practitioner (GP)

Trial duration: January to May 2004

Recruitment: 345 eligible GPs (criteria undefined) from 2 Swiss cantons (Basel‐Stadt and Aargau), where self dispensation of drugs is not allowed. 30 GPs (providing written consent by 1 December 2003) were randomised to limited or full intervention groups (15 GPs each); the remaining 15 GPs (providing written consent by 1 January 2004) formed the non‐randomised control group

Methods of data collection: baseline data for eligible GPs obtained from the registry of the Swiss Medical Association; GPs recorded patient baseline data; medical students conducted standardised patient follow‐up interviews at 7 and 14 days by telephone; pharmacists faxed all prescriptions with study labels to the study centre

Length of follow‐up: 14 days

Participants

GPs recruited all consecutive and eligible adult patients: ≥ 18 years with symptoms of acute infections of the respiratory system (first experienced within the previous 28 days; including common cold, rhinosinusitis, pharyngitis, exudative tonsillitis, laryngitis, otitis media, bronchitis, exacerbated COPD or influenza)

Exclusion: patients with pneumonia, not fluent in German, with intravenous drug use or psychiatric disorders, and not available for phone interviews or unable to give written informed consent

Interventions

Brief intervention name: patient‐centred communication training

Recipients: GPs

Providers: unclear

Health professional components: evidence‐based guidelines (developed by 3 trial authors based on existing US guidelines, adapted to local conditions and reviewed by local experts) presented as a booklet and in a 2‐hour interactive seminar, plus a 6‐hour patient‐centred communication seminar in small groups (number not defined) and 2 hours of personal feedback by phone prior to the start of the trial. Training aimed to teach GPs how to understand and modify patients' concepts and beliefs about the use of antibiotics for ARIs. Physicians were taught to practice elements of active listening, to respond to emotional clues and tailor information given to patients. GPs identified patients' attitudes and readiness for behaviour change using a theoretical model (Prochaska and DiClemente 1992)

Patient components: nil

Materials: evidence‐based guidelines for the treatment of ARIs distributed as a booklet (http://www.bice.ch/publications/reports)

Mode of delivery: booklet and face‐to‐face small‐group interactive patient‐centred communication seminar

Duration and intensity: GPs attended 1 x 2‐hour interactive evidence‐based guidelines seminar and 1 x 6‐hour small group interactive patient‐centred communication seminar

Comparator 1 (Limited intervention): evidence‐based guidelines presented as a booklet and in a 2‐hour interactive seminar alone

Comparator 2 (Non‐randomised control): usual care (data not extracted)

Outcomes

Primary: antibiotic prescriptions dispensed by pharmacists < 2 weeks following initial consultation (prescriptions with study labels faxed by pharmacists to the study centre)

Secondary: rates of different diagnoses of respiratory infections (GP records)

Adherence to guidelines for antibiotic prescription (GP records)

Days with restrictions from respiratory infection (patient follow‐up interview at 7 and 14 days)

Days off work (patient follow‐up interview at 7 and 14 days)

Re‐consultation rates (patient follow‐up interview at 7 and 14 days)

Patient satisfaction (Patient Satisfaction Questionnaire; patient follow‐up interview at 7 and 14 days)

Patient enablement (Patient Enablement Instrument; patient follow‐up interview at 7 and 14 days)

Other: serious adverse events (independent monitoring board review of serious adverse events that occurred < 28 days of study enrolment)

Notes

Funding: yes

Conflict of interest: none disclosed

Published trial protocol: no

Trial registration: not stated

Ethics approval: yes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated list created by an independent institution

Allocation concealment (selection bias)

Low risk

Allocation to either intervention was concealed. However, method not stated. However, GPs recruited prior to randomisation

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Blinding of general practitioners and trial staff reported. As this trial had 3 arms (2 intervention arms where the intervention in each involved a seminar and distribution of evidence guidelines; 1 usual care arm), it is possible that the GPs in the intervention arms would not have known which intervention group they were in

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Medical students, blinded to the goal of the trial, were trained to conduct standardised follow‐up interviews at 7 and 14 days by phone

Prescriptions with study labels faxed by pharmacists to the study centre were checked and entered into the database by a person blinded to the intervention group

Trial authors assessed adherence of all prescriptions to guidelines independently and blinded to the intervention group

Incomplete outcome data (attrition bias)
All outcomes

Low risk

GPs randomised into limited intervention (GPs = 15; patients = 293) and full intervention groups (GPs = 15; patients = 259); 15 GPs (285 patients) participated as non‐randomised controls (data not extracted). All GPs completed the trial. There were 290, 253 and a convenience sample of 93 patients (stratified by physician), respectively, interviewed at 7 days; and 287, 245 and 92 patients interviewed at 14 days. Reasons for loss to follow‐up reported

Selective reporting (reporting bias)

Low risk

All indicated results reported. Trial registration or published trial protocol not stated

Other bias

Unclear risk

Sample size (power) calculation: yes

ITT or per protocol analysis: ITT

Intraclass correlation (co‐efficient) reported: 4.0% and a design effect of 1.6%

Low study baseline prescribing rates – full intervention (13.5%), limited intervention (15.7%) and non‐randomised control (21.4%)

Highly motivated GPs: recruitment coincided with introduction of a new nation‐wide computer‐based reimbursement system and due to increased workload participating GPs considered to be highly motivated

Butler 2012

Methods

Study design: cluster‐randomised controlled trial

Unit of randomisation: general practices

Trial duration: conducted during 2007 and 2008

Recruitment: 212 general practices approached at random from 454 eligible practices in Wales, UK. 102 practices expressed interest to participate; 70 recruited; 68 practices (˜480,000 patients) randomised to intervention or control groups (34 each)

Methods of data collection: routine administrative systems (see 'Outcomes')

Data collection time points: total numbers of dispensed oral antibiotic items (primary) and hospital admissions for possible RTIs and their complications (secondary): rate per 1000 patients for the year after the intervention practices were exposed to the intervention; re‐consultation for RTIs: (secondary; 7, 14 and 31 days after initial consultation). Cost data not extracted

Length of follow‐up: 12 months

Participants

Clinicians (general practitioners (GPs) and nurse practitioners) and all patients registered with and consulting a participating general practice in Wales (practice list)

Interventions

Brief intervention name: Stemming the Tide of Antibiotic Resistance (STAR) educational programme: multifaceted flexible blended learning approach to continuing education for clinicians

Recipients: clinicians (GPs and nurse practitioners)

Providers: web‐based modules and practice‐based seminar led by a facilitator

Health professional components: the programme is a blended learning experience, and based on Social Learning Theory to develop GPs sense of importance about change (the 'why' of change) and confidence in their ability to achieve change (the 'how' of change). The intervention consist of 7 parts (5 online, 1 face‐to‐face and 1 facilitator‐led practice‐based seminar): case‐scenarios and updated summaries of research evidence and guidelines; reflections on clinical judgement on antibiotic prescribing; a facilitator‐led practice‐based seminar presenting regional, local and practice‐level antibiotic prescribing and resistance data; novel communicative consulting skills and information exchange based on motivational interviewing; personal reflections on clinical practice; web‐based forum to share experiences and views; and a booster module completed 6 to 8 months after completion of the initial training to reinforce previously outlined communication skills. GPs had to complete each online learning component before the software would allow them access to the next. The intervention was flexible to allow GPs to access online components and try out new skills with patients at their convenience

Patient components: nil

Materials: web‐based materials

Mode of delivery: interactive web‐based modules (including online videos in addition to a facilitator‐led practice‐based seminar

Duration and intensity: not specified

Comparator: usual care

Outcomes

Primary: total number of dispensed oral antibiotic items per 1000 registered patients for the year after practices were exposed to the STAR programme (Prescribing Audit Reports and Prescribing Catalogues; www.nhsbsa.nhs.uk/prescriptions)

Secondary: hospital admission rates for possible RTIs and their complications per 1000 registered patients for the year after practices were exposed to the STAR programme.(Patient Episode Database for Wales); and practice re‐consultation rates (for patients with RTIs, practice re‐consultation rates were identified using diagnostic READ codes recorded by the general practitioner over 7, 14 and 31 days after an initial consultation)

Costs data not extracted

Notes

Funding: yes

Conflict of interest: none disclosed

Published trial protocol: yes

Trial registration: yes

Ethics approval: yes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomisation was conducted once all practices were recruited and all participating physicians had provided written consent. Dynamic block allocation was used to achieve balance between groups of practices for the potential confounders of previous rate of antibiotic dispensing (averaged over the past year), practice size (number of whole time equivalent staff at recruitment), and proportion of clinicians in the practice registered for the study. The practices were divided into 3 sets of 24, 22 and 22 practices; within each set we generated all possible allocations into 2 groups and selected the 1000 allocations within each set with the best balance with respect to the specified confounders. The independent statistician on the trial steering committee selected 1 allocation at random for each set and randomly assigned intervention or control to the 2 groups in each set to construct the final allocation

Allocation concealment (selection bias)

Low risk

Clinicians and researchers were blinded to group allocation until after randomisation

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible (multifaceted intervention programme)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Data on antibiotic dispensing, hospital admissions and re‐consultations were collected through routine administrative systems that were not influenced by the study research process

Incomplete outcome data (attrition bias)
All outcomes

Low risk

68 practices (˜480,000 patients) randomised to intervention (34 practices; 137 GPs, 2 nurse practitioners) or control (34 practices; 122 GPS, 2 nurse practitioners) groups. 2 practices (one in each group; including 12 intervention GPs and 7 control GPs) withdrew after randomisation but were included in the ITT analyses

Selective reporting (reporting bias)

Low risk

All indicated results reported. Published trial protocol available

Other bias

Low risk

Sample size (power) calculation: yes

ITT or per protocol analysis: ITT analysis for primary outcome

Cals 2009

Methods

Study design: cluster‐randomised controlled trial (factorial design).

Unit of randomisation: general practices (cluster of 2 general practitioners (GPs) per practice)

Trial duration: conducted during the winters of 2005 to 2006 and 2006 to 2007

Recruitment: 54 general practices within a large suburban region of the Netherlands were assessed for eligibility; 20 eligible general practices (with 2 participating GPs per practice) were randomised into groups of 10 practices per intervention (resulting in 4 trial arms of 5 general practices and 10 GPs):

‐ use of C‐reactive protein (CRP) testing;

‐ training in enhanced communication skills;

‐ use of CRP and training in enhanced communication skills;

‐ control (usual care)

Methods of data collection: antibiotic prescribing and re‐consultation data obtained from patient medical records. Patients rated symptoms (cough, phlegm, shortness of breath, disturbance of daily activities, sleeping problems and generally feeling unwell), satisfaction and enablement, on a 28‐day daily diary validated for use in a RCT on management of LRTI in primary care

Data collection time points: index consultation and 28‐day follow‐up

Participants

General practitioners recruited sequential eligible adults within regular consultation hours during the winters of 2005 to 2006 and 2006 to 2007
Eligibility: suspected lower respiratory tract infection (LRTI) with a cough lasting < 4 weeks together with1 focal and 1 systemic symptom

Interventions

Brief intervention name: enhanced communication skills training

Recipients: GPs

Providers: seminars led by a moderator

Health professional components: enhanced communication skills training involved 1 x 2‐hour training seminar at a central location, preceded and followed by consulting with simulated patients in routine surgeries and peer‐review of transcripts. The moderator‐led seminar on shared decision making (within 1 week of simulated patient consultation) comprised GPs' reflection on simulated patient transcript, current views and insights on LRTI (highlighting contrast between research and practice), outline of elicit‐provide‐elicit framework (elicit patient's main worries and expectations and conveying the balance of possible antibiotic benefits and harms, provide information relevant to the patients' individual understanding and interest, and elicit patients' interpretation about what has been said and done and discusses implications for help seeking behaviour), videos presenting practice‐based examples and GPs identifying specific aspects during their consultations that need most attention

Patient components: nil

Materials: desk reminder for GPs

Mode of delivery: face‐to‐face seminar and simulated patient consultations with peer‐review of transcripts

Duration and intensity: 1 x 2‐hour moderator‐led training seminar; pre‐ and post‐seminar simulated patient consultations with peer‐review of transcripts

Comparator 1: C‐reactive protein point of care testing (date not extracted)

Comparator 2: enhanced communication skills training plus C‐reactive protein point of care testing (date not extracted)

Comparator 4: usual care (Dutch guidelines for managing acute cough, including diagnostic and therapeutic advice for lower respiratory tract infection are distributed to all GPs in the Netherlands)

Outcomes

Primary: antibiotic prescribing in the index consultation (medical records)
Secondary: antibiotic prescribing during 28 days' follow‐up (medical records)

Re‐consultation (medical records)

Clinical recovery data not extracted

Patients' satisfaction (Likert scale; 28‐day daily diary)

Patients' enablement (Patient Enablement Index; 28‐day daily diary)

Notes

Funding: yes

Conflict of interest: none declared

Published trial protocol: yes

Trial registration: yes

Ethics approval: yes

Main comparator reported in this review: communication skills training (n = 201) versus no communication skills training (n = 230)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

General practices randomised into 2 groups of 10 practices per intervention, balanced for recruitment potential, resulting in the 4 trial arms. The balancing factor used for randomisation was the amount of GP's consultation time (expressed as full time equivalent (FTE)) that the practice was contributing to the study (which equated to between1 and 2 FTEs for clinical contact time. The randomisation was balanced for those with 1.5 or less FTEs and those with more than 1.5 FTEs

Allocation concealment (selection bias)

Low risk

All practices and general practitioners were recruited before randomisation

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible (due to the nature of the intervention)

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not described

Incomplete outcome data (attrition bias)
All outcomes

Low risk

20 practices (40 GPs) randomised to each of the 4 trial arms (5 practices, 10 GPs each) and recruited 431 patients. 37 GPs completed the trial (3 left on maternity leave in the enhanced communication skills group). All patients (100%) had data for the primary outcome, 90% (mean) had 28‐day diary data

For the communication skills training group (10 GPs, 84 patients), there was 100% prescribing data and 88% returned diaries.

Selective reporting (reporting bias)

Low risk

All indicative results reported. Published study protocol. Prospective trial registration

Other bias

Low risk

Sample size (power) calculation: yes

ITT or per protocol analysis: the primary analysis was ITT

Cals 2013

Methods

Study design: 3.5 year follow‐up of a cluster‐randomised controlled trial (factorial design) (Cals 2009)

Trial duration: 3.5 years (mean 3.67 years)

Recruitment: patients recruited in the winter periods from September 2005 until March 2007 (Cals 2009), were observed until July 2010

Methods of data collection: medical records

Data collection time points: recorded consultations for RTI from original 28‐day follow‐up period until July 2010 (follow‐up period); recorded consultation for RTI for the exact same period preceding the consultation in which the patient was recruited in the original trial (baseline period). Deceased patients and patients that moved practices and whose medical records could not be retrieved were excluded

Length of follow‐up: mean 3.67 years

Participants

General practices: see Cals 2009

Patients: of the original 431 patients enrolled in the trial, 379 patients (87.9%) had accessible medical records for the follow‐up period. Only data for the enhanced communication training (178) versus no enhanced communication skills training (201) extracted

Interventions

See Cals 2009

Outcomes

Primary outcome: average number of episodes of RTIs during the follow‐up period for which patients consulted their physician per patient per year (PPPY) and the proportion of these episodes that resulted in an antibiotic prescription

Secondary outcome: nil

Notes

Funding: yes

Conflict of interest: RH received travel/lecture funds from Axis‐shield (Norway) and Orion Diagnostica (Finland), both manufacturers of C‐reactive protein devices

Trial registration: yes

Ethics approval: yes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

See Cals 2009

Allocation concealment (selection bias)

Low risk

See Cals 2009

Blinding of participants and personnel (performance bias)
All outcomes

High risk

See Cals 2009

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Data were extracted, by 2 researchers, from the patients' medical records system. No mention if these researchers were blind to the practices' original allocation

Incomplete outcome data (attrition bias)
All outcomes

Low risk

379 of 431 patients enrolled in the original trial (87.9%) had accessible medical records for the follow‐up period

Selective reporting (reporting bias)

Low risk

See Cals 2009

Other bias

Low risk

Sample size (power) calculation: see Cals 2009

ITT or per protocol analysis: see Cals 2009

Francis 2009

Methods

Study design: cluster‐randomised controlled trial

Unit of randomisation: general practices

Trial duration: October 2006 to April 2008

Recruitment: half of all general practices from 9 local health boards in Wales (n = 147) were randomly selected to be sent study information (the other half were provided information about a related RCT conducted in parallel); 49 returned a practice agreement and were randomised. 4 primary care research networks in England also recruited practices; 34 returned practice agreement and were randomised. All randomised practise (83) were allocated to intervention (41 practices; 30 recruited patients; patients = 274) or control (42 practices; 31 recruited patients; patients = 284)

Methods of data collection: baseline data (age, duration of illness, symptoms) collected by GPs. Follow‐up via a telephone administered questionnaire (or self completion questionnaire contact unsuccessful by telephone) with child's parent or guardian

Data collection time points: index consultation and 14 days after recruitment

Length of follow‐up: 14 days

Participants

Participating clinicians recruited sequential eligible children (6 months to 14 years) consulting with a respiratory tract infection (cough, cold, sore throat, earache for 7 days or less) and their parents

Exclusion: children with asthma and those with serious ongoing medical conditions such as malignancy or cystic fibrosis

Interventions

Brief intervention name: interactive booklet on respiratory tract infections in children for use within the consultation and provided as a take home resource

Recipients: parents and clinicians

Providers: not stated

Health professional components: the online training described the content and aims of the booklet, and encouraged its use within the consultation to facilitate the use of certain communication skills, mainly exploring the parent's main concerns, asking about their expectations, and discussing prognosis, treatment options and any reasons that should prompt re‐consultation

Patient components: use of the booklet in the consultation and as a take home resource

Materials: 8‐page interactive booklet (see www.whenshouldiworry.com)

Mode of delivery: 8‐page interactive booklet and online training for clinicians in use of the booklet

Duration and intensity: not stated

Comparator: usual care (clinicians were asked to conduct consultations in usual manner)

Outcomes

Primary: re‐consultation (primary or secondary care) during the 2 weeks after the index consultation (telephone administered questionnaire)

Secondary: antibiotic prescriptions (telephone administered questionnaire)

Antibiotic consumption (telephone administered questionnaire)

Future consulting intention (telephone administered questionnaire)

Parental satisfaction with the index consultation (5‐point Likert; telephone administered questionnaire)

Parental enablement (modified Patient Enablement Instrument; telephone administered questionnaire)

Perception of the usefulness (value) of the information received during the index consultation (5‐point Likert; telephone administered questionnaire)

Parental reassurance (3‐point Likert; telephone administered questionnaire)

Notes

Funding: yes

Conflict of interest: none disclosed

Published trial protocol: yes

Trial registration: yes

Ethics approval: yes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Practices were randomised by a statistician using block randomisation with random block sizes and stratification by practice list size, antibiotic prescribing rate for 2005, and country

Allocation concealment (selection bias)

Unclear risk

It is reported that practices were randomised after agreeing to take part, but no other details are provided

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible (training and use of an interactive booklet for use within consultations and as a take home resource)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Telephone interviewers were blinded to treatment group and asked to record any subsequent unblinding of allocation (e.g. parent talking about receiving a booklet). Interviewers reported becoming aware of participants treatment group in 34/509 (6.7%) of interviews

Incomplete outcome data (attrition bias)
All outcomes

Low risk

83 practices were randomised to intervention (41) or control (42) groups; 61 practices, 30 intervention and 31 control practices, recruited 274 and 284 patients, respectively. Primary outcome data were available for 256 patients (93%) in the intervention group (246 completed telephone interviews, 10 postal questionnaire returned) and 272 (96%) control group patients (262 completing telephone interviews, 9 postal questionnaires returned)

Selective reporting (reporting bias)

Low risk

All indicted outcomes reported. Published trial protocol

Other bias

Low risk

Sample size (power) calculation: yes

ITT or per protocol analysis: primary analysis was ITT

Little 2013

Methods

Study design: cluster‐randomised controlled trial (factorial design)

Unit of randomisation: general practices

Trial duration: October 2010 to May 2011

Recruitment: all general practices (n = 440) in the localities of study centres were approached, and all clinicians (and nurse prescribers in the UK) in eligible practices who prescribed antibiotics for respiratory tract infections were invited to participate Eligibility: practices that had not previously used interventions to reduce antibiotic prescribing and could include > 10 patients at baseline audit. Networks of at least 2 practices were selected separately in Antwerp (Belgium), Barcelona (Spain), Cardiff (Wales), Łódź (Poland), Southampton (UK), Szczecin (Poland), Utrecht (Netherlands) and the Spanish Society of Family Medicine (Spain) to ensure a range of cultures, languages and regions of Europe (north, south and east) were represented). Of the 259 eligible practices enrolled; 246 were randomised to usual care (n = 61), training in the use of a C‐reactive protein (CRP) test at point of care (n = 62), training in enhanced communication skills (n = 61), or in both CRP and enhanced communication skills training (n = 62)

Methods of data collection: case report forms (index consultation and follow‐up)

Data collection time points: index consultation and follow‐up (until resolution of symptoms)

Participants

General practitioners (GPs and nurse prescribers in the UK) who prescribed antibiotics for RTIs consecutively recruited up to the first 30 patients with LRTI and up to the first 5 with URTI presenting at each practice. Eligible patients were ≥ 18 years of age, attending a first consultation for acute cough of up to 28 days' duration or what the clinician believed to be an acute LRTI as the main diagnosis, despite cough not being the most prominent symptom; and diagnosis judged by the physician to be an acute upper respiratory tract infection (e.g. sore throat, otitis media, sinusitis, influenza and coryzal illness)

Exclusion: patients with a working diagnosis of a non‐infective disorder (e.g. pulmonary embolus, heart failure, oesophageal reflux, or allergy); use of antibiotics in the previous month; inability to provide informed consent (e.g. due to dementia, psychosis or severe depression); pregnancy; and immunological deficiencies. Pneumonia was not an exclusion criterion

Interventions

Brief intervention name: enhanced communication skills training

Recipients: GPs

Providers: n/a

Health professional components: training focused on the gathering of information on patients' concerns and expectations; exchange of information on symptoms, natural disease course and treatments; agreement of a management plan, summing up and providing guidance about when to re‐consult. Physicians were provided with an interactive booklet to use during consultations that included information on symptoms, use of antibiotics and antibiotic resistance, self help measures, and when to re‐consult. The training was supported by video demonstrations of consultation techniques. The Internet modules and materials were translated into the relevant national language and mainly addressed lower respiratory tract infections, although many of the issues were relevant to all respiratory tract infections

Patient components: interactive booklet used within consultations

Materials: interactive booklet for use within consultations

Mode of delivery: Internet training supported by video demonstrations of consultation techniques

Duration and intensity: not described

Comparator:

1. Usual care

2. Training in use of C‐reactive protein (CRP) test at point of care (data not extracted for this review)

3. Both CRP and enhanced communication skills training (data not extracted for this review)

Outcomes

Primary: antibiotic use (index consultation; case‐report form)

Secondary: new or worsening symptoms defined as re‐consultation for new or worsening symptoms < 4 weeks, new signs or hospital admission (review of medical notes)

Symptom severity and duration defined as the severity of symptoms in the 2 to 4 days after seeing the physician (case report form; 0 = no problem to 4 = severe problem)

Notes

Funding: yes

Conflict of interest: none disclosed

Published trial protocol: no

Trial registration: yes

Ethics approval: yes

ITT or per protocol analysis: ITT analysis

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomisation of practices was done by 2 study authors, and was achieved by computer generation of random numbers, stratified by network. Minimisation was applied, on the basis of the proportion of patients prescribed antibiotics from the baseline audit, the number of participating physicians per practice, and the number of patients recruited

Allocation concealment (selection bias)

Low risk

Physicians and patients were unaware of initial group allocation

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible (due to the nature of the intervention)

Blinding of outcome assessment (detection bias)
All outcomes

High risk

GPs recorded data on a case‐report from, during the index consultation

Incomplete outcome data (attrition bias)
All outcomes

Low risk

259 practices enrolled and provided baseline data (6771 patients); 13 practices recruited < 10 patients each) were excluded

Remaining were 246 practices randomised to CRP (62), enhanced communication training (61), both interventions combined (62), or usual care (61)

Antibiotic prescription documentation was available for 58 CRP practices (1062 patients), 55 (90%) enhanced communication skills practices (1170 patients), 62 combined intervention practices (1162 patients) and 53 (87%) usual care practices (870 patients). Reasons for exclusion were reported as recruiting no patients

Selective reporting (reporting bias)

Low risk

All indicated outcomes are reported

Other bias

Low risk

Sample size (power) calculation: not stated

ITT analysis: yes

Légaré 2011

Methods

Study design: cluster‐randomised controlled trial (pilot)

Unit of randomisation: family medicine groups (FMGs)

Trial duration: during November 2007 and March 2008

Recruitment: 24 FMGs (group of family physicians who work closely with nurses to offer family medicine services to registered individuals) from the greater urban area of Quebec City, Canada, were invited to participate; 4 participating FMGs were randomised either to a group immediately exposed to the DECISION+ program (n = 2) or to a control group which exposure to DECISION+ program was delayed for 6 months (n = 2)

Methods of data collection: self administered questionnaire completed following the consultation at each time point

Data collection time points: baseline, following exposure of the intervention group to DECISION+ (˜ 6 months), and following delayed exposure of DECISION+ to controls (˜ 12 months)

Length of follow‐up: 12 months

Participants

Eligible general practitioners (no previous participation in an implementation trial of SDM and planned to remain in clinical practice for the trial duration) recruited eligibility patients consulting their GP for an ARI: no age restriction, patients or their guardians had to be able to read, understand and write French and had to give informed consent to participate in the trial

Exclusion: patients with a condition requiring emergency care. A research professional waited in the FMG's waiting room and recruited patients of enrolled FPs during walk‐in clinic hours; 15 patients were recruited per GP: 5 at baseline, 5 after the GPs in the experimental group were exposed to DECISION +, and 5 after the FPs in the control group were exposed to DECISION+

Interventions

Brief intervention name: DECISION+

Recipients: GPs

Providers: principal investigators (or co‐trainers)

Health professional components: DECISION+ is made up of 3 main components

1. Interactive workshops addressed the probability of bacterial versus viral ARIs in primary care, evidence of the benefit/risk of the various treatment options, risk communication techniques and strategies for fostering patient participation in the decision making process. Workshops included videos of simulated patient‐GP consultations for each ARI and distinguished 2 approaches (usual care or SDM), and exercises to facilitate group discussion about facilitators and barriers to SDM. GPs were trained to use decision support tools (though video examples and group exercises) developed for each of the 4 targeted ARIs (rhinosinusitis, pharyngitis, bronchitis and acute otitis media) and 1 integrating all 4 ARIs

2. Reminders of expected behaviours: a reminder printed on a letter‐sized piece of paper emphasised the use of the decision support tools, reiterated the expected SDM‐related behaviours, and highlighted new studies relevant to the pilot trial topics (e.g. new evidence on the risks and benefits of antibiotics). These reminders were mailed to GPs between each workshop. A second reminder was postcards that participants had written to themselves in the last workshop to remind themselves of what they needed to implement in their practice. The research team collected the postcards and mailed them 6 to 8 weeks later

3. Feedback to GPs on the agreement between their decisional conflict scores and that of their first 5 patients

Patient components: decision support tools

Materials: a booklet summarising the content of the workshop and decision support tools was developed for physician participants and training manuals for the co‐trainers

Mode of delivery: interactive workshops led by 2 study principal investigators (or co‐trainers) and conducted face‐to‐face in a group format, and using videos and group exercises

Duration and intensity: DECISION+: 3 x 3 3‐hour interactive workshops, reminders and feedback conducted over a 4‐ to 6‐month period

Comparator: Usual care (delayed exposure to the DECISION+ intervention)

Outcomes

Primary: decision about using antibiotics (immediate use, delayed use or no use) (GP/patient; self administered questionnaire)

Secondary:

Perception of the quality of the decision (GP/patient; single item on a 10‐point Likert scale; self administered questionnaire)

Decisional conflict (GP/patient; Decisional Conflict Scale)

Patients' intention to engage in SDM in future consultations concerning antibiotics for ARIs (3‐item, 7‐point Likert scale; self administered questionnaire)

GPs' intentions to engage in SDM and comply with clinical practice guidelines regarding prescribing antibiotics for ARIs (3‐item, 7‐point Likert scale)

Decision Regret Scale (patients; telephone interview; 2 weeks following consultation)

Perception of health changes since the consultation (patients; telephone interview; 2 weeks following consultation)

Number of prescriptions filled by patients covered by Quebec's public drug insurance plan (Regie de l'Assurance‐Maladie du Quebec medication claims database) (during the 3 months preceding baseline and during the 3 months after FPs in the experimental group were exposed to DECISION+)

Script concordance test (probes whether respondents' knowledge is efficiently organised to take appropriate clinical action by placing respondents in written, but authentic, clinical situations in which they must interpret data to make decisions. It measures the concordance between respondents' scripts and the scripts of a panel of experts (administered to GPs at each data collection point)

Notes

Funding: yes

Conflict of interest: none disclosed

Published trial protocol: yes

Trial registration: not reported

Ethics approval: yes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A biostatistician simultaneously randomised all FMGs using Internet‐based software

Allocation concealment (selection bias)

High risk

A biostatistician allocated FMGs to groups using Internet‐based software. There was concealed allocation of the Family Medicine Groups, but not the family physicians

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible (multiple‐component, continuing professional development programme in shared decision making)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Codes were attributed to the trial groups and the bio‐statistician analysed the data blindly. Team members accessed the codes only after having completed the analyses and interpreting the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

4 FMGs randomised to intervention (2; GPs = 18; patients = 245) or control groups (2; GPs = 15; patients = 214). 3/33 (9%) GPs dropped out of the trial 20/245 patients in the intervention group and 14/214 controls could not be contacted over the 2‐week follow‐up

Selective reporting (reporting bias)

Low risk

All indicated outcomes reported. Published trial protocol

Other bias

Low risk

Sample size (power) calculation: no

Primary analysis was ITT

Légaré 2012

Methods

Study design: cluster‐randomised controlled trial

Unit of randomisation: family practice teaching units

Trial duration: July 2010 to April 2011

Recruitment: the network of 12 family practice teaching units in 6 regions of Quebec, Canada, were randomised to intervention (6) or control (6) groups

Methods of data collection: following the consultation, patients and GPs independently completed self administered questionnaires (primary and secondary outcomes). 2 weeks later, a telephone follow‐up interview was conducted by a research assistant (secondary outcomes)

Data collection time points: immediately following consultation and 14 days

Participants

GPs, including physician teachers and residents, who provide care in the walk‐in clinics of the 12 family practice teaching units. GPs participating in the pilot trial (Légaré 2011) or those not expecting to practice in the teaching unit during the trial period were excluded. Patients with symptoms suggestive of an ARI were recruited by a research assistant in the waiting room prior to consultation with a physician. Eligible patients were adults (and children who were accompanied by a parent/legal guardian) with a diagnosis of ARI (e.g. bronchitis, otitis media, pharyngitis or rhinosinusitis) and for which the use of antibiotics was subsequently considered either by the patient or physician during the visit. The patient, parent or legal guardian had to be able to read, understand and write French

Interventions

Brief intervention name: DECISION+2 shared decision making program

Recipients: GPs

Providers: trained facilitators

Health professional components: an online tutorial comprised of 5 modules addressing key components of the clinical decision making process about antibiotic treatment for ARI in primary care: introduction to shared decision making and ARIs, estimating diagnostic probabilities for ARIs, therapeutic options, effective strategies to communicate risk and benefits, identify patients' values and preferences; and use of decision support tools that promote shared decision making. Participants had 1 month to complete the online tutorial. The on‐site facilitator‐led interactive workshop aimed to help physicians review and integrate the concepts they acquired during the online training

Patient components: decision support tools

Materials: both the online tutorial and workshop included videos, exercises and decision aids to help physicians communicate to their patients the probability of a bacterial acute respiratory infection and the benefits and harms associated with the use of antibiotics

Mode of delivery: online tutorial and facilitator‐led interactive workshop

Duration and intensity: 2‐hour online tutorial followed by a 2‐hour on‐site interactive workshop

Comparator: usual care

Outcomes

Primary: proportion of patients who decided to use antibiotics immediately after consultation (GP and patient self administered questionnaire)

Secondary: decisional conflict (GP/patient; Decisional Conflict Scale)

Perception that shared decision making occurred (GP/patient; modified Control Preference Scale)

Quality of decision made (GP/patient; single question Likert scale)

Adherence to the decision (patient; single‐item asking if decision made was maintained)

Repeat consultation (for the same reason) (patient)

Decisional Regret (patient; Decisional regret Scale)

Quality of life (patient; SF‐12)

Intention to engage in SDM in future consultations regarding the use of antibiotics for ARIs (patients; questions based on Theory of Planned Behaviour)

Intentions to engage in shared decision making (GP)

Intention to adhere to clinical practice guidelines (GP)

Preferred role in decision making (Control Preference Scale)

Notes

Funding: yes

Conflict of interest: none disclosed

Published trial protocol: yes

Trial registration: yes

Ethics approval: yes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A biostatistician used Internet‐based software to simultaneously randomise all 12 family practice teaching units to either the intervention group (DECISION+2) or control group. The teaching units were stratified according to rural or urban location

Allocation concealment (selection bias)

Unclear risk

The family practice teaching unites were recruited prior to randomisation, but it is not clear when the physicians in the units were recruited

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible (due to the nature of the intervention and the self administered outcomes)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Statistical analysis was performed by a statistician who was unaware of the teaching unit allocations

Incomplete outcome data (attrition bias)
All outcomes

Low risk

12 family practice teaching units randomised; 9 participated in the study and all clusters completed the trial

Selective reporting (reporting bias)

Low risk

All indicated outcome reported. Prospective trial registration. Published trial protocol

Other bias

Unclear risk

Sample size calculation: yes

ITT or per protocol analysis: not stated

Welschen 2004

Methods

Study design: cluster‐randomised controlled trial

Unit of randomisation: GP peer review group

Trial duration: 2000 to 2002

Recruitment: general practitioners' (GP) peer review groups, with collaborating pharmacists (which aim to promote rational prescribing through audit and feedback), in the region of Utrecht, Netherlands, if the group consisted of ≥ 4 GPs and all agreed to participate

Methods of data collection: during a 3‐week period during 2000 and 2001

Data collection time points: index consultation

Length of follow‐up: nil

Participants

Primary care setting type: recruited from general practitioner (GP) peer review groups

General practitioners: 100 GPs

Patients: all registered patients presenting with acute symptoms of the respiratory tract

*Relatively low prescription rates in the Netherlands

Interventions

Brief intervention name: multiple intervention

Recipients: GPs and patients

Providers: GP peer facilitators

Health professional components:

a) Group education meeting (jointly led a GP and pharmacist in each peer review group) included a review of previous years claims data, discussion of evidence‐based medicine and communication of evidence for treatment benefit and risk to inform group consensus about the indication and first choice of antibiotics per indication (AOM, sinusitis, tonsillitis and acute cough); communication skills training (how to explore patients' worries and expectations and to inform patients about the natural course of the symptoms, self medication and alarm symptoms). GPs received a summary of their group's guidelines by mail 1 week after the meeting, and received the results of the baseline measurement (to reinforce the consensus reached) after 2 months

b) Monitoring and feedback on prescribing behaviour (6 months post‐intervention) based on insurance claims data comparing the period after the intervention (March to May 2001) with the same period before the intervention (March to May 2000). Volumes of different kinds of antibiotics and the extent to which prescribed antibiotics were in line with the consensus about first choice antibiotics were presented at practice level

c) Group education for assistants of GPs and pharmacists attended a 2‐hour group education session informing them about Dutch guidelines for GPs, followed by skills training in educating patients

Patient components: education material for patients consisted of a brochure and accompanying posters (also translated into Turkish and Arabic) available in waiting rooms of intervention group general practices, pharmacies and municipal health services, aiming to inform patients about the self limiting character of most respiratory tract symptoms, self medication and serious symptoms ("alarm signals") necessitating a consultation with the GP

Materials: consensus guidelines for GPs and education material for patients

Mode of delivery: GP and pharmacist‐led group education meeting for GPs and assistants, and patient education brochure and posters

Duration and intensity: 1 x group education meetings for GPs (duration not stated) and 1 x 2‐hour group education meetings for assistants

Comparator: usual care

Outcomes

Primary: proportion of practice encounters for acute symptoms of the respiratory tract for which antibiotics were prescribed (patient records)

Patient satisfaction (self reported questionnaire; 1 = very dissatisfied to 5 = very satisfied)

Secondary: administrative claims data (from regional health insurance company, Agis, over the period 2000 to 2002) (March to May, 2000 and March to May, 2001)

Notes

Funding: yes

Conflict of interest: none declared

Published trial protocol: not reported

Trial registration: not reported

Ethics approval: yes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The 12 peer review groups were allocated to groups A or B. All possible compositions of groups A and B were considered and the option chosen of those groups resulting in comparability between group A and B in groups with a high or low volume of antibiotic prescribing (above or below the median), rural or urban working groups, and number of general practitioners per group (above or below the median). MMK, who was blinded to the composition of the groups, flipped a coin to determine whether group A became the intervention or control group

Allocation concealment (selection bias)

Low risk

Not stated. However, practices recruited prior to randomisation

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not possible (multiple intervention)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Research assistants blinded to the intervention status of the practices extracted information from patient records (age, sex, diagnoses, antibiotic prescriptions and referrals to hospital doctors)

Patient satisfaction questionnaires returned directly to the investigators without being shown to the GP

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Of the 42 of 48 peer‐review groups in the Utrecht region that were invited to participate, 30 groups refused or were unable to participate. The 12 remaining peer‐review groups were randomised to intervention (6 groups, 46 GPs) or control (6 groups, 54 GPs). All clusters and 89/100 GPs completed the study (intervention = 42, control = 49), with loss to follow‐up due to retirement (n = 1), removal outside the region (n = 3), illness (n = 3), motivational problems (n = 2) or technical problems (n = 2)

Selective reporting (reporting bias)

Low risk

All indicative results reported

Other bias

Low risk

Sample size (power) calculation: yes

ITT of per protocol analysis: yes

AOM: acute otitis media
ARI: acute respiratory infection
COPD: chronic obstructive pulmonary disease
CRP: C‐reactive protein
FP: family physician
GP: general practitioner
ITT: intention‐to‐treat
LRTI: lower respiratory tract infection
n/a: not applicable
OTC: over‐the‐counter
RCT: randomised controlled trial
RTI: respiratory tract infection
SDM: shared decision making
URTI: upper respiratory tract infection

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Bourgeois 2010

Shared decision making not explicit or inferred

Gonzales 2013

Shared decision making not explicit or inferred

Pshetizky 2003

Shared decision making not explicit or inferred

Regev‐Yochay 2011

Shared decision making not explicit or inferred

Samore 2005

Shared decision making not explicit or inferred

Taylor 2005

Shared decision making not explicit or inferred

Characteristics of ongoing studies [ordered by study ID]

Altiner 2012

Trial name or title

Converting habits of antibiotic prescribing for respiratory tract infections in German primary care ‐ the cluster‐randomised controlled (CHANGE‐2) trial

Methods

3‐arm cluster‐randomised controlled trial

Participants

GPs (n = 94) or practice‐based paediatricians (n = 94) and their patients (˜ 30,000 children and adults) who consult in general practices located in 2 German regions (Baden‐Württemberg and Mecklenburg‐Western Pomerania) for an ARI

Interventions

Communication training versus communication training and point of care testing (C‐reactive protein and rapid antigen detection testing) versus control

Outcomes

Primary: physician antibiotic prescription rate for ARI at 2‐year follow‐up (post‐intervention) derived from data of the statutory health insurance company

Secondary:

1. Re‐consultation rate

2. Use of medical services

3. Hospital admissions

Starting date

GP and paediatrician recruitment commenced October 2012; patient recruitment over 3 successive winter periods

Contact information

Prof Attila Altiner; Institute for General Practice, Rostock University Medical Center; POB 100888; Rostock 18055 Germany

Phone: +49 (0)381 494 2481

Fax: +49 (0)381 494 2482

Email: [email protected]‐rostock.de

Notes

ARI: acute respiratory infection

Data and analyses

Open in table viewer
Comparison 1. Shared decision making versus usual care (control)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Antibiotics prescribed, dispensed or decision to use (short‐term, index consultation to ≤ 6 weeks) Show forest plot

8

10172

Risk Ratio (Random, 95% CI)

0.61 [0.55, 0.68]

Analysis 1.1

Comparison 1 Shared decision making versus usual care (control), Outcome 1 Antibiotics prescribed, dispensed or decision to use (short‐term, index consultation to ≤ 6 weeks).

Comparison 1 Shared decision making versus usual care (control), Outcome 1 Antibiotics prescribed, dispensed or decision to use (short‐term, index consultation to ≤ 6 weeks).

2 Antibiotics prescribed or dispensed (longer‐term, ≥ 12 months) Show forest plot

3

481588

Risk Ratio (Random, 95% CI)

0.74 [0.49, 1.11]

Analysis 1.2

Comparison 1 Shared decision making versus usual care (control), Outcome 2 Antibiotics prescribed or dispensed (longer‐term, ≥ 12 months).

Comparison 1 Shared decision making versus usual care (control), Outcome 2 Antibiotics prescribed or dispensed (longer‐term, ≥ 12 months).

3 Antibiotic prescriptions (index consultation) (adjusted odds ratio) Show forest plot

3

3244

Odds Ratio (Random, 95% CI)

0.44 [0.26, 0.75]

Analysis 1.3

Comparison 1 Shared decision making versus usual care (control), Outcome 3 Antibiotic prescriptions (index consultation) (adjusted odds ratio).

Comparison 1 Shared decision making versus usual care (control), Outcome 3 Antibiotic prescriptions (index consultation) (adjusted odds ratio).

4 Antibiotic prescriptions (index consultation) (adjusted risk ratio) Show forest plot

2

4623

Risk Ratio (Random, 95% CI)

0.64 [0.49, 0.84]

Analysis 1.4

Comparison 1 Shared decision making versus usual care (control), Outcome 4 Antibiotic prescriptions (index consultation) (adjusted risk ratio).

Comparison 1 Shared decision making versus usual care (control), Outcome 4 Antibiotic prescriptions (index consultation) (adjusted risk ratio).

5 Antibiotic prescriptions (index consultation or population rate per unit of time) (adjusted risk difference) Show forest plot

4

481807

Mean Difference (Random, 95% CI)

‐18.44 [‐27.24, ‐9.65]

Analysis 1.5

Comparison 1 Shared decision making versus usual care (control), Outcome 5 Antibiotic prescriptions (index consultation or population rate per unit of time) (adjusted risk difference).

Comparison 1 Shared decision making versus usual care (control), Outcome 5 Antibiotic prescriptions (index consultation or population rate per unit of time) (adjusted risk difference).

6 Number or rate of re‐consultations (risk ratio) Show forest plot

4

1861

Risk Ratio (Random, 95% CI)

0.87 [0.74, 1.03]

Analysis 1.6

Comparison 1 Shared decision making versus usual care (control), Outcome 6 Number or rate of re‐consultations (risk ratio).

Comparison 1 Shared decision making versus usual care (control), Outcome 6 Number or rate of re‐consultations (risk ratio).

7 Patient satisfaction with the consultation Show forest plot

2

1052

Odds Ratio (Random, 95% CI)

0.86 [0.57, 1.30]

Analysis 1.7

Comparison 1 Shared decision making versus usual care (control), Outcome 7 Patient satisfaction with the consultation.

Comparison 1 Shared decision making versus usual care (control), Outcome 7 Patient satisfaction with the consultation.

PRISMA study flow diagram.
Figuras y tablas -
Figure 1

PRISMA study flow diagram.

'Risk of bias' summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 2

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

'Risk of bias' graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figuras y tablas -
Figure 3

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

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.1 Antibiotics prescribed, dispensed or decision to use (short‐term, index consultation to ≤ 6 weeks).
Figuras y tablas -
Figure 4

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.1 Antibiotics prescribed, dispensed or decision to use (short‐term, index consultation to ≤ 6 weeks).

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.2 Antibiotics prescribed or dispensed (longer‐term, ≥ 12 months).
Figuras y tablas -
Figure 5

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.2 Antibiotics prescribed or dispensed (longer‐term, ≥ 12 months).

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.3 Antibiotic prescriptions (index consultation) (adjusted odds ratio).
Figuras y tablas -
Figure 6

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.3 Antibiotic prescriptions (index consultation) (adjusted odds ratio).

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.4 Antibiotic prescriptions (index consultation) (adjusted risk ratio).
Figuras y tablas -
Figure 7

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.4 Antibiotic prescriptions (index consultation) (adjusted risk ratio).

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.5 Antibiotic prescriptions (index consultation or population rate per unit of time) (adjusted risk difference).
Figuras y tablas -
Figure 8

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.5 Antibiotic prescriptions (index consultation or population rate per unit of time) (adjusted risk difference).

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.6 Number or rate of re‐consultations (risk ratio).
Figuras y tablas -
Figure 9

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.6 Number or rate of re‐consultations (risk ratio).

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.7 Patient satisfaction with the consultation.
Figuras y tablas -
Figure 10

Forest plot of comparison: 1 Shared decision making versus usual care (control), outcome: 1.7 Patient satisfaction with the consultation.

Comparison 1 Shared decision making versus usual care (control), Outcome 1 Antibiotics prescribed, dispensed or decision to use (short‐term, index consultation to ≤ 6 weeks).
Figuras y tablas -
Analysis 1.1

Comparison 1 Shared decision making versus usual care (control), Outcome 1 Antibiotics prescribed, dispensed or decision to use (short‐term, index consultation to ≤ 6 weeks).

Comparison 1 Shared decision making versus usual care (control), Outcome 2 Antibiotics prescribed or dispensed (longer‐term, ≥ 12 months).
Figuras y tablas -
Analysis 1.2

Comparison 1 Shared decision making versus usual care (control), Outcome 2 Antibiotics prescribed or dispensed (longer‐term, ≥ 12 months).

Comparison 1 Shared decision making versus usual care (control), Outcome 3 Antibiotic prescriptions (index consultation) (adjusted odds ratio).
Figuras y tablas -
Analysis 1.3

Comparison 1 Shared decision making versus usual care (control), Outcome 3 Antibiotic prescriptions (index consultation) (adjusted odds ratio).

Comparison 1 Shared decision making versus usual care (control), Outcome 4 Antibiotic prescriptions (index consultation) (adjusted risk ratio).
Figuras y tablas -
Analysis 1.4

Comparison 1 Shared decision making versus usual care (control), Outcome 4 Antibiotic prescriptions (index consultation) (adjusted risk ratio).

Comparison 1 Shared decision making versus usual care (control), Outcome 5 Antibiotic prescriptions (index consultation or population rate per unit of time) (adjusted risk difference).
Figuras y tablas -
Analysis 1.5

Comparison 1 Shared decision making versus usual care (control), Outcome 5 Antibiotic prescriptions (index consultation or population rate per unit of time) (adjusted risk difference).

Comparison 1 Shared decision making versus usual care (control), Outcome 6 Number or rate of re‐consultations (risk ratio).
Figuras y tablas -
Analysis 1.6

Comparison 1 Shared decision making versus usual care (control), Outcome 6 Number or rate of re‐consultations (risk ratio).

Comparison 1 Shared decision making versus usual care (control), Outcome 7 Patient satisfaction with the consultation.
Figuras y tablas -
Analysis 1.7

Comparison 1 Shared decision making versus usual care (control), Outcome 7 Patient satisfaction with the consultation.

Summary of findings for the main comparison. Shared decision making compared to usual care for acute respiratory infections in primary care

Shared decision making compared to usual care for acute respiratory infections in primary care

Patient or population: antibiotic use in acute respiratory infections
Setting: primary care
Intervention: interventions to facilitate shared decision making
Comparison: usual care

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with usual care

Risk with Interventions to facilitate shared decision making

Antibiotics prescribed or dispensed (6 weeks or less)
assessed with: risk ratio

Moderate

RR 0.61
(0.55 to 0.68)

10172
(8 RCTs)

⊕⊕⊕⊝
MODERATE 1

47 per 100

29 per 100
(26 to 32)

Antibiotics prescribed or dispensed (12 months or greater)
assessed with: risk ratio

Moderate

RR 0.74
(0.49 to 1.11)

481588
(3 RCTs) 3

⊕⊕⊝⊝
LOW 1 2

47 per 100

35 per 100
(23 to 52)

Patient initiated re‐consultations for the same illness episode

Moderate

RR 0.87
(0.74 to 1.03)

1861
(4 RCTs)

⊕⊕⊕⊝
MODERATE 1

40 per 100

35 per 100
(30 to 41)

Patient satisfaction with the consultation

Moderate

OR 0.86
(0.57 to 1.30)

1052
(2 RCTs)

⊕⊕⊝⊝
LOW 1 4

71 per 100

68 per 100
(58 to 76)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: confidence interval; OR: Odds ratio; RCT: randomised controlled trial; RR: Risk ratio

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 Downgraded one level because of risk of bias: participants in most studies were aware of whether they had received the intervention or not.

2 Downgraded one level because of imprecision: confidence interval includes reduction and possible increase in use of antibiotics. There was considerable heterogeneity in the rates of antibiotic prescribing during longer‐term follow‐up (12 months or greater).

3 Sample numbers in one trial, Butler 2012, were calculated from mean list size at baseline multiplied by the number of participating practices in each group (practice list sizes vary over time and no denominator data were available).

4 Downgraded one level due to imprecision: confidence interval includes both satisfaction and lack of satisfaction of patients with the consultation.

Figuras y tablas -
Summary of findings for the main comparison. Shared decision making compared to usual care for acute respiratory infections in primary care
Table 1. TIDieR intervention summary (Hoffmann 2014)

Author year

Brief name

Recipient

Why

What (materials)

What (procedures)

Who provided

How

Where

When and how much

Tailoring

Modification of intervention throughout trial

Strategies to improve or maintain intervention fidelity

Extent of intervention fidelity

Altiner 2007

Complex GP peer‐led educational intervention

GPs and patients

Focused on communication within a consultation and the mutual discordance between patients' expectations and doctors' perceived patient expectations, empowering patients to raise the issue within the consultation. By 'informing' both sides in the consultation, it is hoped that doctors and patients would openly talk about the issue and thus reduce unnecessary antibiotic prescriptions

Peers used a semi‐structured dialogue script for outreach visits

Patient materials (leaflet and poster) provided in waiting room primarily focused on the patients' role doctor‐patient 'antibiotic misunderstanding' and brief evidence‐based information on acute cough and antibiotics

GP peer‐led outreach visits. Peers were trained to explore GPs' 'opposite' motivational background to address their beliefs and attitudes. GPs were motivated to explore patient expectations and demands, to elicit anxieties and make antibiotic prescribing a subject in the consultation

Patient materials were aimed at empowering patients to raise and clarify issues within the consultation

5 practising GPs and teaching academics in the lead authors' department (2 female, 33 to 63 years of age); trained in 3 sessions for outreach visits

Face‐to‐face outreach visits to GPs

GP clinics during normal working hours

1 outreach visit performed per GP (duration not specified)

Not described

Not described

Not described

51/52 GPs received intervention

Briel 2006

Brief training programme in patient‐centred communication

GPs

Focused on teaching GPs how to understand and modify patients' concepts and beliefs about the use of antibiotics for ARIs. GPs were introduced to a model (Prochaska 1992) for identifying patients' attitude and readiness for behaviour change

Evidence‐based guidelines for diagnosis and treatment of ARIs (updated, locally adapted and reviewed by local experts) distributed as a booklet [URL provided is no longer active]

GPs were trained in elements of active listening, to respond to emotional cues, and to tailor information given to patients. Physicians used a model were introduced to a model (Prochaska 1992) to identify patients' attitude and readiness for behaviour change

Not specified

Seminar in small groups (number not specified) and personal feedback by telephone prior to the start of the trial. Evidence‐based guidelines were distributed as a booklet

Not specified

Attendance at 1 x 6‐hour seminar and 1 x 2‐hour telephone call to give personal feedback prior to the trial start

Not described

Not described

Not described

Not described

Butler 2012

Multifaceted flexible blended learning approach for clinicians

GPs and nurse practitioners

Blended learning experience to develop clinicians' sense of the importance about change and their confidence in their ability to achieve change based on Social Learning Theory

Clinicians reflected on practice‐level antibiotic dispensing and resistance data, reflected on own clinical practice (context‐bound learning), and were trained in novel communication skills derived from principles of motivational interviewing

Summaries of research evidence and guidelines, web‐based modules using video‐rich material presenting novel communication skills, and a web‐based forum to share experiences and views (see

www.stemmingthetide.org

for online component)

Intervention consist of 7 components: experiential learning, updated summaries of research evidence and guidelines; web‐based learning in novel communication skills; practising consulting skills in routine care; facilitator‐led practice‐based seminar on practice‐level data on antibiotic prescribing and resistance; reflections on own clinical practice, and a web‐based forum to share experiences and views

A facilitator conducted the face‐to‐face seminar

Intervention consisted of 7 parts (5 online modules, 1 face‐to‐face seminar and 1 facilitator‐led practice‐based seminar)

The face‐to‐face and facilitator‐led seminars were presented at the general practice

7 components (5 online, 1 face‐to‐face and 1 facilitator‐led practice‐based seminar)

A booster module (6 to 8 months after completion of initial training) reinforced these skills

Intervention was flexible so clinicians could access the online components and try out new skills with their patients at their convenience

Not described

Not described

138/139 completed all online training and uploaded descriptions of consultations for the portfolio tasks; 129/139 attended the practice‐based seminars; 76/139 completed the optional booster session at 6 months; 11/139 entered new threads on the online forum with 81 posts and 1485 viewings of posts and threads

Cals 2009

Enhanced communication skills training

GPs

Focused on information exchange based on the elicit‐provide‐elicit framework from counselling in behaviour change ‐ exploring patients' fears and expectations, patients' opinion on antibiotics and outlining the natural duration of cough in lower respiratory tract infections

Pre and post‐workshop transcripts of simulated patients

Brief context‐learning based workshop in small groups (5 to 8 GPs), preceded and followed by practice‐based consultations with simulated patients. GPs reflected on own transcripts of consultations with simulated patients, which were also peer‐reviewed by colleagues

Experienced moderator to lead seminars

Brief workshop (5 to 8 GPs), preceded and followed by practice‐based consultation with simulated patients

General practice

1 x 2‐hour moderator‐led small groups workshop, preceded and followed by practice‐based consultation with simulated patients

Not described

Not described

Not described

66% of patients recruited by GPs allocated to training in enhanced communication skills recalled their GP's use at least 3 of 4 specific communication skills compared with 19% in the no training group

Francis 2009

Interactive booklet for parents and clinician training in its use

GPs and patients

Focused on specific communication skills, such as exploring parent's main concerns, asking about their expectations, and discussing prognosis, treatment options and reasons that should prompt re‐consultation

8‐page booklet (now at

www.whenshouldIworry.com

); online training in use of the booklet included videos to demonstrate use of the booklet within a consultation, as well as audio feeds, pictures and links to study materials [original URL no longer active]

Booklet given to parents to use in the consultation and as a take‐home resource (no further details provided)

Online training on the use of the booklet was provided to GPs: describing the content and aims of the booklet, and encouraging use within the consultation to facilitate use of specific communication skills

N/A (online training)

Parents used the booklet face‐to‐face in the consultation with GPs and took it home; GP training in use of booklet was online

General practice; parents' homes

1 x 40‐minute online training module

Not described

Not described

Online clinician training monitored through study website: whether a GP has logged on to the site, how much time spent on it and which pages were viewed

Stated that treatment fidelity was not measured so that assessors could remain blind to the study group

Légaré 2012

Shared decision making training program (DECISION+2)

Family physicians (including teachers and residents)

A shared decision making training program that aimed to help physicians communicate to patients the probability of a bacterial ARI and the benefits and harms associated with the use of antibiotics

Online tutorial and workshop included videos, exercises and decision aids to help physicians communicate to their patients the probability of bacterial ARIs and benefits/harms of antibiotic use. Decision aids were available in the consultation rooms in all family practice teaching units

Online self tutorial comprising 5 modules 2‐hour online tutorial followed by a facilitator‐led on‐site interactive workshops aimed to help physicians review and integrate concepts acquired during online training

Trained facilitators

Online tutorial and face‐to‐face workshop

Family practice teaching units

1 x 2‐hour online tutorial, followed by 1 x 2‐hour on‐site interactive workshop. Participants had 1 month to complete the programme

Not described

Not described

Not described

Of the 162 physicians, 103 completed both the online tutorial and workshop; 16 completed only the workshop; 15 only the tutorial; and 28 completed none of the training components

Légaré 2011

Multiple‐component, continuing professional development program in shared decision making (DECISION+)

Family medicine groups (physicians and nurses)

Aimed to help family physicians communicate to patients the probability of bacterial ARI and benefits and harms of antibiotic use

Workshops included videos (simulated consultations of usual care and SDM) and exercises (facilitators and barriers to SDM). GPs trained in the use of 5 decision support tools using video examples and group exercises. A booklet summarising workshop content provided to participants. Postcard reminders sent

Interactive workshops and related material, reminders of expected behaviours and GP feedback on agreement between their decisional conflict and that of their patients

Trained facilitators

Face‐to‐face workshop

Family medicine groups

3 x 3‐hour interactive workshops and related material, in addition to reminders of expected behaviours and GP feedback on agreement between their decisional conflict and that of their patients. DECISION+ conducted over 4 to 6 months

Not described

4 pilot workshops held rather than 3 as the second workshop was redesigned and re‐piloted after feedback on its first testing

Not described

Not described

Little 2013

Internet‐based training in enhanced communication skills

GPs

Rationale was that Internet‐based training can be more widely disseminated than face‐to‐face training. Training focused on eliciting patients' expectations and concerns, natural disease course, treatments, agreement on a management plan, summing up and guidance on when to re‐consult

Interactive booklet for use by GPs within consultations Training supported by video demonstrations of consultation techniques

Online modules and an interactive booklet for use within consultations. (Group practices also appointed a lead GP to organise a structured meeting on prescribing issues)

N/A (online modules) other than lead GP at each practice to organise a meeting (not specific to just this arm of the intervention though)

Online modules (and GP‐led structured practice‐based meeting)

General practice

Internet modules completed alone or in a group

Not described

Not described

Not described

94/108 practices (87%) completed the communication training. Mean (SD) time spent on the website was 37 (29) minutes

Welschen 2004

Group education meeting with consensus procedure and communication skills training

GPs/pharmacists and their assistants, and patients

GPs discussed evidence for antibiotic benefit/risk, and learned communication techniques to explore patients' expectations and concerns, inform about natural course of symptoms, self‐ medication and alarm symptoms. Patient education provided information on the self‐ limiting nature or ARIs, self‐medication and alarm symptoms requiring re‐consultation

Group consensus guidelines and patient waiting room materials (poster/leaflets)

Group education meeting with consensus procedure, with a summary, and guidelines mailed 1 month later to reinforce consensus reached; feedback on prescribing behaviour (post‐ and pre‐intervention insurance claims data) and practice‐level reporting of extent prescribing behaviours aligned with consensus reached; group education session for GP and pharmacists assistants (Dutch guidelines and skills training in patient education); waiting room education al material for patients

Jointly led by GP and pharmacist

Group education meeting for GPs with consensus procedure and communication skills training,

Group education for GPs' and pharmacists' assistants, monitoring and feedback on prescribing behaviour, and patient education materials

Not described

1 x group education meeting with consensus procedure; 1 x 2‐hour group education session for GP and pharmacists' assistants; monitoring and feedback of prescribing behaviour at 6 months post‐intervention

Not described

Not described

Not described

Not described

ARI: acute respiratory infection
GP: general practitioner
N/A: not applicable

Figuras y tablas -
Table 1. TIDieR intervention summary (Hoffmann 2014)
Table 2. Antibiotic prescriptions per index consultation or population rate over time

Author

Outcome

Measurement time point

Intervention (n)

Control

Effect estimate

P value

Notes

Adjusted odds ratio (95% CI)

Francis (2009)

Antibiotics prescribed at the index consultation

14 days

(30 practices) Patients = 50/256 (19.5%)

(31 practices)
Patients = 111/272 (40.8%)

0.29 (0.14 to 0.60)a

NR

ICC = 0.24

Altiner (2007)

Rate of antibiotic prescriptions (per acute cough and per GP)

6 weeks

GPs = 42
Patients = 1021

GPs = 44
Patients = 1143

0.38 (0.26 to 0.56)b

< 0.001

ICC=0.20

12 months

GPs = 28
Patients = 787

GPs = 33
Patients = 920

0.55 (0.38 to 0.80)b

0.002

Briel (2006)

Uptake of antibiotic prescriptions as reported by pharmacists < 2 weeks after the consultation

14 days

GPs = 15
Patients = 259

GPs = 15
Patients = 293

0.86 (0.40 to 1.93)c

NR

ICC = 0.04

Design effect = 1.6

Adjusted risk ratio (95% CI)

Little (2013)

Antibiotic prescription

index consultation

Practices = 61
Patients = 2332

Practices = 61
Patients = 1932

0.69 (0.54 to 0.87)d

< 0.0001

Légaré (2012)

% patients who decided to use antibiotics immediately after the consultation

Index consultation

Practice units = 6
GPs = 77
Patients = 181

Practice units = 6
GPs = 72
Patients = 178

0.50 (0.30 to 0.70)e

Adjusted risk difference (95% CI)

Légaré (2011)

% patients who decided to use antibiotics immediately after the consultation

Index consultation

Medicine groups = 2
GPs = 18
Patients = 81

Medicine groups
GPs = 14
Patients = 70

‐16 (‐31 to 1)f

0.08

Butler (2012)

Total no. dispensed oral antibiotic items per 1000 registered patients for the year after the intervention

12‐month period

Practices = 34 Patients = 7053

Practices = 34 Patients = 7050

‐4.2 (‐0.6 to ‐7.7)

0.02

Cals (2009)

Antibiotic prescribing at the index consultation

Index consultation

n/N = 55/201

% crude (95% CI)G

27.4 (25.6 to 36.6)

n/N = 123/230

% crude (95% CI)g

53.5 (43.8 to 63.2)

‐26.1 (% crude)

< 0.01h

ICC = 0.12

Cals (2013)

Proportion of episodes of respiratory tract infections during follow‐up for which a GP was seen and that antibiotics were prescribed for

Mean 3.67 years follow‐up

n = 178

% (95% CI)

26.3 (20.6 to 32.0)

n = 201

% (95% CI)

39.1 (33.1 to 45.1)

‐10.4i

0.02i

Welschen (2006)

% practice encounters for acute symptoms of the respiratory tract for which antibiotics were prescribed

Index consultation

Review groups = 6

Review groups = 6

–10.7 (–20.3 to –1.0)j

Practice =

0.17

Review group =

0.09

aTwo level (practice and patient) random intercept logistic regression models.
bAfter backward elimination, four explanatory variables remained in the model: patients' disease severity, measured on a four‐point scale (odds ratio 4.8, 95% CI 3.9 to 5.9 per step on scale, P value < 0.001), and average practice severity (severity of the disease rated by the GP) (odds ratio 0.14, 95% CI 0.06 to 0.33, P value < 0.001 per category step on the scale), patients having fever (odds ratio 1.80, 95% CI 1.35 to 2.39, P value < 0.001 compared with no fever) and frequency of fever in practice, as determined by the log odds (odds ratio 1.31, 95% CI 1.08 to 1.59, P value = 0.007 per category step on the scale).
cLogistic regression with random effects for each cluster and patient covariates (age, sex, education, days with restrictions at baseline).
dThe adjusted model adjusted for baseline prescribing and clustering by physician and practice, and additionally controlled for age, smoking, sex, major cardiovascular or respiratory comorbidity, baseline symptoms, crepitations, wheeze, pulse higher than 100 beats per minute, temperature higher than 37.8°C, respiratory rate, blood pressure, physician's rating of severity and duration of cough.
eAdjusted for cluster design, baseline values and patient age group (for analyses at teaching unit and physician levels).
fP value adjusted for baseline values and the study's cluster design.
gCalculated and inflated for clustering by using standard deviation inflated by variance inflation factor.
hCalculated from second order penalised quasi‐likelihood multilevel logistic regression model adjusted for variance at general practitioner and practice level (random intercept at practice and general practitioner level). Models included both interventions and interaction term of interventions.
iP values from multilevel linear regression model to account and correct for variation at the level of family physician, and to adjust for both interventions, RTI‐episodes treated with antibiotics during baseline period, chronic obstructive pulmonary disease comorbidity.
jIntervention effect in multi‐level analysis

CI: confidence interval
GP: general practitioner
NR: not reported

Figuras y tablas -
Table 2. Antibiotic prescriptions per index consultation or population rate over time
Table 3. Number or rate of re‐consultations

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Briel (2006)

Re‐consultations

Within 14 days

n/N (%)

113/253 (44.7)

n/N (%)

143/290 (49.3)

Adjusted rate ratio (95% CI)a

0.97 (0.78 to 1.21)

NR

Butler (2013)

Re‐consultations after index consultation)b

Within 7 days

Within 14 days

Within 31 days

Median (IQR)

2.66 (1.88 to 4.25)

5.10 (4.70 to 7.92)

9.06 (7.53 to 12.62)

Median (IQR)

3.35 (2.16 to 4.31)

6.43 (4.04 to 7.84)

11.38 (7.39 to 14.05)

Median difference (95% CI)c

‐0.65 (‐1.69 to 0.55)

‐1.33 (‐2.12 to 0.74)

‐2.32 (‐4.76 to 1.95)

P value = 0.446d

P value = 0.411d

P value = 0.503d

Cals (2009)

Re‐consultations

Within 28 days

n/N = 56/201

% crude (95% CI)e

27.9 (21.4 to 34.4)

n/N = 85/230

% crude (95% CI)e

37.0 (30.4, 43.6)

Absolute difference

9.1 (% crude)

0.14f

ICC = 0.01

Francis (2009)

Re‐consultationg

Within 14 days

n/N (%)

33/256 (12.9)

n/N (%)

44/272 (16.2)

Adjusted odds ratio (95% CI)

0.75 (0.41 to 1.38)

NR

ICC = 0.06

Légaré (2012)

Re‐consultation

Baseline (pre)

21.6 (12.1 to 29.7)

22.7 (10.3 to 27.3)

Adjusted risk ratio (95% CI)h

1.3 (0.7 to 2.3)

Absolute difference = 7.5

NR

Within 14 days (post)

13.4 (9.9 to 15.9)

15.2 (11.9 to 19.4)

Little (2013)

New or worsening symptomsi

n/N (%)

451/2242 (20%)

n/N (%)

309/1879 (16%)

Adjusted risk ratio (95% CI)j

1.33 (0.99 to 1.74)

P value = 0.055

aPoisson regression with random effects for each cluster and patient covariates (age, sex, education, days with restrictions at baseline).
bCollected from the electronic records of a subsample of 37 general practices (20 intervention/17 control). 47 patients (10.9%) re‐consulted more than once within 28 days with pattern similar across groups.
cComputed with bootstrapping methods.
dFrom Mann‐Whitney U test.
eCalculated and inflated for clustering by using standard deviation inflated by variance inflation factor.
fCalculated from second order penalised quasi‐likelihood multilevel logistic regression model adjusted for variance at general practitioner and practice level (random intercept at practice and general practitioner level). Models included both interventions and interaction term of interventions.
gParental report that child attended a face‐to‐face consultation with a primary care clinician in their general practice, or with an out of hours provider, in the 2 weeks after registration.
hAdjusted for cluster design and baseline values.
iDefined as re‐consultation for new or worsening symptoms within 4 weeks, new signs or hospital admission.
jThe adjusted model adjusted for baseline prescribing and clustering by physician and practice, and additionally controlled for age, smoking, sex, major cardiovascular or respiratory comorbidity, baseline symptoms, crepitations, wheeze, pulse higher than 100 beats per minute, temperature higher than 37.8°C, respiratory rate, blood pressure, physician's rating of severity and duration of cough.

CI: confidence interval

ICC: intra‐class correlation co‐efficient
IQR: interquartile range
NR: not reported

Figuras y tablas -
Table 3. Number or rate of re‐consultations
Table 4. Incidence of hospital admissions

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Briel (2006)

Hospital admissions

< 28 days of study enrolment

n/N = 2/253

n/N = 1/290

NR

NR

Butler (2012)

Hospital admissionsa

Baseline

Follow‐up

Mean

7.7

7.5

Mean

8.7

8.0

% reduction (intervention relative to controlsb (95% CI)

‐1.9 (‐13.2 to 8.2)

P value = 0.72

Cals (2013)

Hospital admissions

Mean 3.67 year follow‐up

n/N

0/178

n/N

5/201

NR

NR

Francis (2009)

Hospital admissions (or observed in a paediatric assessment unit)

< 14 days

n/N

3/256

n/N

4/272

NR

NR

Little (2013)

Hospital admissionsc

< 4 weeks

n/N

6/1170

n/N

2/870

NR

aAnnual number of hospital episodes for possible respiratory tract infections and complications of common infections per 1000 registered patients. A single admission occurred if patient admitted to hospital for a possible RTI or complication. If patient admitted more than once, and gap between admissions was 30 days or more, this was considered a separate complication episode.

bDifference between means in intervention group and control group as percentage of mean control group.

cFactorial analysis data not reported

NR: not reported
RTI: respiratory tract infection
SAEs: serious adverse events

Figuras y tablas -
Table 4. Incidence of hospital admissions
Table 5. Incidence of pneumonia

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Briel (2006)

Pneumonia

< 28 days

n/N = 0/253

1/290

NR

NR

Cals (2013)

Pneumonia

Mean 3.67 year follow‐up

n/N = 0/178

n/N = 1/201

NR

NR

NR: not reported

Figuras y tablas -
Table 5. Incidence of pneumonia
Table 6. Patient satisfaction

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Briel (2006)

Patient satisfaction (Patient Satisfaction Questionnaire)a

7 and 14 days

121/253 (47.8)

142/290 (49.0)

Adjusted OR (95% CI)b

1.00 (0.64 to 1.31)

NR

Cals (2009)

Patient satisfaction (% at least 'very satisfied' on Likert scale)c

28 days

n/N = 144/201

% (crude 95% CI)d

78.7 (72.5 to 84.9)

n/N = 151/230

% (crude 95% CI)d

74.4 (68.2 to 80.6)

4.3

P value = 0.88e

Francis (2009)

Parent satisfaction (Likert scale)f

14 days

n/N (%) = 222/246 (90.2)

n/N (%) = 246/263 (93.5)

Adjusted OR (95% CI)g

0.6 (0.3 to 1.2)

NR

Welschen (2006)

Patient satisfaction (Likert scale)h

Index consultation

Patient satisfaction (%)

Baseline (pre) = 4.3 (0.3)

Follow‐up (post) = 4.3 (0.3)

% change (SD) = 0 (0.4)

Patient satisfaction (%)

Baseline (pre) = 4.2 (0.4)

Follow‐up (post) = 4.2 (0.3)

% change (SD): 0 (0.4)

Mean difference of changes (95% CI)

0 (–0.2 to 0.1) i

NR

a% patients with a maximum score of 70 reported, as satisfaction scores (scale 14 to 70; median 68/70) were highly skewed.
bLogistic regression with random effects for each cluster and patient covariates (age, sex, education, days with restrictions at baseline).
c% at least 'very satisfied'.
dCalculated and inflated for clustering by using standard deviation inflated by variance inflation factor.
eCalculated from models adjusted for variance at general practitioner and practice level.
fTransformed into binary outcomes: 'very satisfied' and 'satisfied' versus 'neutral', 'dissatisfied' and 'very dissatisfied'.
gOdds ratio (95% CI) from multilevel modelling.
h1 = very dissatisfied to 5 = very satisfied.
iIntervention effect in multilevel analysis.

CI: confidence interval
OR: odds ratio
SD: standard deviation

Figuras y tablas -
Table 6. Patient satisfaction
Table 7. Decisional conflict

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Légaré (2012)

Decisional conflict (GPs)a

Immediately after consultation

Baseline: 4.5 (0 to 9.0)

Follow‐up: 4.6 (0 to 6.1)

Baseline: 3.0 (0 to 5.9)

Follow‐up:1.1 (0 to 2.4)

Adjusted RR

3.4 (0.3 to 38.0)

NR

Légaré (2012)

Decisional conflict (patients)a

Immediately after consultation

Baseline: 5.1 (0 to 13.5)

Follow‐up: 4.6 (2.6 to 7.4)

Baseline: 4.2 (0 to 8.9)

Follow‐up: 6.3 (0 to 12.8)

Adjusted RR:

0.8 (0.2 to 2.4)

NR

Légaré (2011)

Correlation of decisional conflict between GPs and patientsa

Immediately after consultation

Baseline: 0.14

Follow‐up: 0.24

Baseline: ‐0.05

Follow‐up: 0.02

Difference at follow‐up (95% CI)

0.26 (‐0.06 to 0.53)

0.06

aProportion of participants who had a value of 2.5 or more on the Decision Conflict Scale (where 1 = low decisional conflict and 5 = very high decisional conflict).
bPresented as correlation of family physicians' and patient's DCS scores (Pearson's r).

CI: confidence interval
GP: general practitioner
NR: not reported
RR: risk ratio

Figuras y tablas -
Table 7. Decisional conflict
Table 8. Decisional regret

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Légaré (2012)

Decisional regret a

2 weeks after consultation

Baseline: 10.5 ± 15.4

Follow‐up: 12.4 ± 19.1

Baseline: 10.8 ± 20.8

Follow‐up: 7.6 ± 13.7

Adjusted mean difference

4.8 (0.9 to 8.7)

Légaré (2011)

Patients (%) with decisional regret

2 weeks after consultation

Baseline: 1

Follow‐up: 7

Baseline: 1

Follow‐up: 9

Difference at follow‐up (95% CI)

‐2 (‐12 to 5)

0.91

a = Decisional Regret Scale used, where 0 = very low regret and 100 = very high regret

CI: confidence interval

Figuras y tablas -
Table 8. Decisional regret
Table 9. Patient enablement

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Briel (2006)

Patient enablement (Patient Enablement Instrument; scale 0 to 12)

7 and 14 days

Mean (SD): 8.49 (1.98)

Mean (SD): 8.15 (2.03)

Adjusted coefficient (95% CI)a

0.35 (‐0.05 to 0.75)

NR

Cals (2009)

Patient enablement (Patient Enablement Instrument; max score is 12)

28 days

Median (IQR) score: 3 (4)

Mean (SD) score: 3.29 (2.52)

Median (IQR) score: 3 (4)d

Mean (SD) score: 3.06 (2.54)

NR

0.70b

Francis (2009)

Parent enablement (Modified Patient Enablement Instrument, scale 1 to 10)c

14 days

n/N (%): 99/246 (40.2)

n/N (%): 94/262 (35.9)

Adjusted OR (95% CI)

1.20 (0.84 to 1.73)

NR

aLinear regression with random effects for each cluster and patient covariates (age, sex, education, days with restrictions at baseline).
bCalculated from models adjusted for variance at general practitioner and practice level.
cPresented results are % with parent enablement score of 5 or more (binary outcome).
dComparator is 'no skills training'.

CI: confidence interval
IQR: interquartile range
NR: not reported
OR: odds ratio
SD: standard deviation

Figuras y tablas -
Table 9. Patient enablement
Table 10. Quality of the decision made (GPs)

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Légaré (2012)

Quality of decision made (GPs) (0 to 10 Likert scale)

After consultation

Baseline: 8.7 ± 1.5

Follow‐up: 8.5 ± 1.6

Baseline: 8.7 ± 1.5

Follow‐up: 8.5 ± 1.5

Adjusted mean difference

0.0 (‐0.4 to 0.4)

NR

Légaré (2011)

Quality of decision made (GPs) (0 to 10 Likert scale)

After consultation

Baseline: 8.8 ± 1.1

Follow‐up: 8.7 ± 1.2

Baseline: 8.3 ± 1.4

Follow‐up: 8.5 ± 1.3

Difference at follow‐up (95% CI)

0.2 (‐0.34 to 0.89)

0.29

CI: confidence interval
GP: general practitioner
NR: not reported

Figuras y tablas -
Table 10. Quality of the decision made (GPs)
Table 11. Quality of the decision made (patients)

Author

Outcome

Measurement time point

Intervention

Control

Effect estimate

P value

Notes

Légaré (2012)

Quality of decision made (patients) (0 to 10 Likert scale) a

After consultation

Baseline: 8.2 ± 1.1

Follow‐up: 8.2 ± 1.3

Baseline: 8.2 ± 1.4

Follow‐up: 8.4 ± 1.0

Adjusted mean difference

0.2 (‐0.6 to 0.2)

NR

Légaré (2011)

Quality of the decision made (patients) (0 to 10 Likert scale) a

After consultation

Baseline: 8.2 ± 2.1

Follow‐up: 8.7 ± 1.9

Baseline: 8.4 ± 1.9

Follow‐up: 8.6 ± 1.9

Difference at follow‐up (95% CI)

0.1 (‐0.88 to 0.94)

0.57

aLikert scale where 0 = very low quality and 10 = very high quality.

CI: confidence interval
NR: not reported

Figuras y tablas -
Table 11. Quality of the decision made (patients)
Comparison 1. Shared decision making versus usual care (control)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Antibiotics prescribed, dispensed or decision to use (short‐term, index consultation to ≤ 6 weeks) Show forest plot

8

10172

Risk Ratio (Random, 95% CI)

0.61 [0.55, 0.68]

2 Antibiotics prescribed or dispensed (longer‐term, ≥ 12 months) Show forest plot

3

481588

Risk Ratio (Random, 95% CI)

0.74 [0.49, 1.11]

3 Antibiotic prescriptions (index consultation) (adjusted odds ratio) Show forest plot

3

3244

Odds Ratio (Random, 95% CI)

0.44 [0.26, 0.75]

4 Antibiotic prescriptions (index consultation) (adjusted risk ratio) Show forest plot

2

4623

Risk Ratio (Random, 95% CI)

0.64 [0.49, 0.84]

5 Antibiotic prescriptions (index consultation or population rate per unit of time) (adjusted risk difference) Show forest plot

4

481807

Mean Difference (Random, 95% CI)

‐18.44 [‐27.24, ‐9.65]

6 Number or rate of re‐consultations (risk ratio) Show forest plot

4

1861

Risk Ratio (Random, 95% CI)

0.87 [0.74, 1.03]

7 Patient satisfaction with the consultation Show forest plot

2

1052

Odds Ratio (Random, 95% CI)

0.86 [0.57, 1.30]

Figuras y tablas -
Comparison 1. Shared decision making versus usual care (control)