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La prise de décision partagée pour les personnes souffrant d'asthme

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Referencias

Clark 1998 {published data only}

Clark NM, Gong M, Schork MA, Evans D, Roloff D, Hurwitz M, et al. Impact of education for physicians on patient outcomes. Pediatrics 1998;101(5):831‐6. [CENTRAL: 688433; CRS: 4900100000023539; PUBMED: 9565410]CENTRAL
Clark NM, Gong M, Schork MA, Kaciroti N, Evans D, Roloff D, et al. Long‐term effects of asthma education for physicians on patient satisfaction and use of health services. European Respiratory Journal 2000;16(1):15‐21. [CENTRAL: 316303; CRS: 4900100000009731; 4900100000009731; PUBMED: 10933079]CENTRAL
Frasca MA. Participation in an interactive seminar improved paediatricians' patient teaching and communication skills: commentary. Evidence‐Based Medicine 1999;4(1):31. [CENTRAL: 310793; CRS: 4900100000009226]CENTRAL

Fiks 2015 {published data only}

Fiks AG, Mayne SL, Karavite DJ, Suh A, O'Hara R, Localio AR, et al. Parent‐reported outcomes of a shared decision‐making portal in asthma: a practice‐based RCT. Pediatrics 2015;135(4):e965‐73. [CENTRAL: 1066974; CRS: 4900126000027102; EMBASE: 2015934354; PUBMED: 25755233]CENTRAL
NCT01715389. Evaluation of a shared decision making portal for pediatric asthma. clinicaltrials.gov/show/NCT01715389 (first received 10 October 2012). [CRS: 4900132000030028]CENTRAL

van Bragt 2015 {published data only}

NCT01109745. Effectiveness of the pelican Instrument in medical care (PELICANII). clinicaltrials.gov/show/NCT01109745 (first received 22 April 2010). CENTRAL
Van Bragt S, van den Bemt L, Kievits R, Merkus P, van Weel C, Schermer T. PELICAN: a randomized controlled trial in Dutch General Practices to assess the effectiveness of individualised self‐management for paediatric asthma [Abstract]. 7th International Primary Care Respiratory Group (IPCRG) World Conference; 2014 May 21‐24; Athens. 2014:OR‐009. [CENTRAL: 994138; CRS: 4900126000016465]CENTRAL
van Bragt S, van den Bemt L, Cretier R, van Weel C, Merkus P, Schermer T. PELICAN: content evaluation of patient‐centered care for children with asthma based on an online tool. Pediatric Pulmonology 2016;51(10):993‐1003. [CENTRAL: 1152866; CRS: 4900132000019804; PUBMED: 27128738]CENTRAL
van Bragt S, van den Bemt L, Kievits R, Merkus P, van Weel C, Schermer T. PELICAN: a cluster‐randomized controlled trial in Dutch general practices to assess a self‐management support intervention based on individual goals for children with asthma. Journal of Asthma 2015;52(2):211‐9. [CENTRAL: 1077131; CRS: 4900132000004118; EMBASE: 2015136467; PUBMED: 25166455]CENTRAL
van Bragt S, van den Bemt L, Thoonen B, van Weel C, Merkus P, Schermer T. PELICAN: a quality of life instrument for childhood asthma: study protocol of two randomized controlled trials in primary and specialized care in the Netherlands. BMC Pediatrics 2012;12(137):137. [CENTRAL: 834422; CRS: 4900100000061225; EMBASE: 2012715722; PUBMED: 22935133]CENTRAL

Wilson 2010 {published data only}

Does shared decision‐making improve asthma outcomes?. https://clinicaltrials.gov/ct2/show/NCT00149526 (accessed 9 September 2016). CENTRAL
NCT00149526. Does shared decision‐making improve asthma outcomes?. https://clinicaltrials.gov/ct2/show/NCT00149526 (first received 6 September 2005). [CRS: 4900100000021091]CENTRAL
NCT00217945. Does shared decision‐making improve adherence in asthma. clinicaltrials.gov/ct2/show/NCT00217945 (first received 19 September 2005). CENTRAL
Wilson SR, Knowles S, Qian Y, Buist AS, Strub P, Lapidus J, et al. Does involving patients in treatment decisions reduce use of asthma rescue medication? [Abstract]. American Thoracic Society International Conference; 2007 May 18‐23; San Francisco. 2007:[A242]. [CENTRAL: 651696; CRS: 4900100000022587]CENTRAL
Wilson SR, Strub P, Buist AS, Knowles SB, Lavori PW, Lapidus J, et al. Shared treatment decision making improves adherence and outcomes in poorly controlled asthma. American Journal of Respiratory and Critical Care Medicine 2010;181(6):566‐77. [CENTRAL: 728584; CRS: 4900100000024367; EMBASE: 2010157400; PUBMED: 20019345]CENTRAL
Wilson SR, Strub P, Buist AS, Verghese S, Brown N, Luna V, et al. Does involving patients in treatment decisions improve asthma controller medication adherence? [Abstract]. Proceedings of the American Thoracic Society. 2006:A469. [CENTRAL: 592304; CRS: 4900100000020891]CENTRAL
Wilson SR, Strub P, Knowles SB, Buist AS, Huang Q, Nguyen M. Ethnicity, income, and education as potential modifiers of the effects of shared treatment decision‐making (SDM) between asthma care manager and patient on asthma controller medication adherence: the better outcomes of asthma treatment (BOAT) trial [Abstract]. Journal of Allergy and Clinical Immunology 2009;123(2 Suppl 1):S72. [CENTRAL: 756675; CRS: 4900100000025163]CENTRAL

Early 2015 {published data only}

Early F, Everden AJ, O'Brien CM, Fagan PL, Fuld JP. Patient agenda setting in respiratory outpatients: a randomized controlled trial. Chronic Respiratory Disease 2015;12(4):347‐56. [CENTRAL: 1101025; CRS: 4900132000009524; EMBASE: 2015440958; PUBMED: 26272499]CENTRAL

Ford 1996 {published data only}

Ford ME, Edwards G, Rodriguez JL, Gibson RC, Tilley BC. An empowerment‐centered, church‐based asthma education program for African American adults. Health and Social Work 1996;21(1):70‐5. CENTRAL

Gorelick 2006 {published data only}

Gorelick MH, Meurer JR, Walsh‐Kelly CM, Brousseau DC, Grabowski L, Cohn J, et al. Emergency department allies: a controlled trial of two emergency department‐based follow‐up interventions to improve asthma outcomes in children. Pediatrics 2006;117(4 Suppl 2):S127‐34. CENTRAL

Moffat 2008 {published data only}

Cleland A, Price DB, Hall S. Implementing asthma action plans: practice nurse training in patient centered communication skills has no impact on patient outcomes. Thorax 2004;59:ii32. CENTRAL
Cleland JA, Price DB, Moffat M, Hall S. Training in the community‐based doctors and nurses in patient‐centred asthma care: recognition of need and prerequisities to training [Abstract]. American Thoracic Society 2005 International Conference; 2005 May 20‐25; San Diego. 2005:[D93] [Poster: 603]. [CENTRAL: 524613; CRS: 4900100000018663]CENTRAL
Moffat M, Cleland J, Clark N, Cotton, Bucknall C, Griffiths C, et al. An educational intervention for patient‐centred asthma care (PACE) modified for training practice nurses (PNs) and general practitioners (GPs) in Scotland: first stage evaluation [Abstract]. Primary Care Respiratory Journal 2008;17(2):122. [CENTRAL: 642736; CRS: 4900100000022294]CENTRAL

NCT00170248 {published data only}

NCT00170248. Computer‐based decision support in managing asthma in primary care. clinicaltrials.gov/ct2/show/NCT00170248 (first received 13 September 2005). CENTRAL

NCT00214669 {published data only}

Griffiths C, Bremner S, Islam K, Sohanpal R, Vidal DL, Dawson C, et al. Effect of an education programme for South Asians with asthma and their clinicians: a cluster randomised controlled trial (OEDIPUS). PLOS One 2016;11(12):e0158783. [DOI: 10.1371/journal.pone.0158783]CENTRAL
NCT00214669. Can education for South Asians with asthma and their clinicians reduce unscheduled care? A randomised trial (OEDIPUS). clinicaltrials.gov/ct2/show/NCT00214669 (first received 14 September 2005). CENTRAL

NCT01522144 {published data only}

NCT01522144. An electronic decision support tool to improve outpatient asthma care. https://clinicaltrials.gov/ct2/show/NCT01522144 (accessed 9 September 2016). CENTRAL

Smith 2008 {published data only}

Smith S, Mitchell C, Bowler S. Standard versus patient‐centred asthma education in the emergency department: a randomised study [see comment]. European Respiratory Journal 2008;31(5):990‐7. [CENTRAL: 637591; CRS: 4900100000022025; EMBASE: 2009045444; PUBMED: 18216062]CENTRAL
Smith S, Mitchell C, Fleming M, Bowler S. A randomised control trial (RCT) of patient centred education in emergency department (EDS) [Abstract]. Respirology 2005;10(Suppl):A37. [CENTRAL: 518753; CRS: 4900100000018405]CENTRAL

Sockrider 2001 {published data only}

Sockrider MM, Czyzewski DI, West BL, Pella JJ, Swank PR. Promoting family decision‐making using a pediatric asthma action plan. American Journal of Respiratory and Critical Care Medicine 2001;163(5 Suppl):A293. [CENTRAL: 394615; CRS: 4900100000012784]CENTRAL

Tapp 2014 {published data only}

NCT02047929. Comparing types of implementation of a shared decision making intervention (ADAPT‐NC) [Comparing traditional and participatory dissemination of a shared decision making intervention]. clinicaltrials.gov/show/NCT02047929 (first received 27 January 2014). [CRS: 4900132000022864]CENTRAL
Tapp H, McWilliams A, Ludden T, Kuhn L, Taylor Y, Alkhazraji T, et al. Comparing traditional and participatory dissemination of a shared decision making intervention (ADAPT‐NC): a cluster randomized trial. Implementation Science 2014;9(1):158. [CENTRAL: 1015317; CRS: 4900126000020910; PUBMED: 25359128]CENTRAL

Tieffenberg 2000 {published data only}

Tieffenberg JA, Wood EI, Alonso A, Tossutti MS, Vicente MF. A randomized field trial of ACINDES: a child‐centered training model for children with chronic illnesses (asthma and epilepsy). Journal of Urban Health 2000;77(2):280‐97. [CENTRAL: 297472; CRS: 4900100000008730; PUBMED: 10856009]CENTRAL

Gagné 2017 {published data only}

Gagné M, Légaré F, Moisan J, Boulet L. Adding a decision aid to asthma education: impact on decisional conflict and appropriate medication usage. Value in Health. 2016; Vol. 19, issue 7:A557. CENTRAL
Gagné ME, Légaré F, Moisan J, Boulet LP. Impact of adding a decision aid to patient education in adults with asthma: a randomized clinical trial. PLoS One 2017;12(1):e0170055. [DOI: 10.1371/journal.pone.0170055]CENTRAL

Federman 2015 {published data only}

Federman AD, Martynenko M, O'Conor R, Kannry J, Karp A, Lurio J, et al. Rationale and design of a comparative effectiveness trial of home‐ and clinic‐based self‐management support coaching for older adults with asthma. Contemporary Clinical Trials 2015;44:103‐11. CENTRAL

Hoskins 2013 {published data only}

Hoskins G, Abhyankar P, Taylor AD, Duncan E, Sheikh A, Pinnock H, et al. Goal‐setting intervention in patients with active asthma: protocol for a pilot cluster‐randomised controlled trial. Trials 2013;14(1):289. [CENTRAL: 870965; CRS: 4900100000088569; EMBASE: 2013573201; PUBMED: 24021033]CENTRAL

NCT02516449 {published data only}

Gagné ME, Legare F, Moisan J, Boulet L‐P. Impact of adding a decision aid to asthma education: a randomized clinical trial. Under review. CENTRAL
NCT02516449. Assessment of shared decision making aids in asthma. clinicaltrials.gov/ct2/show/NCT02516449 (first received 2 July 2015). CENTRAL

Tapp 2011 {published data only}

Tapp H, Hebert L, Dulin M. Comparative effectiveness of asthma interventions within a practice based research network. BMC Health Services Research 2011;11:188. [CENTRAL: 833357; CRS: 4900100000050044; EMBASE: 21846401; PUBMED: 21846401]CENTRAL

Adams 2001

Adams RJ, Smith BJ, Ruffin RE. Patient preferences for autonomy in decision making in asthma management. Thorax 2001;56(2):126‐32.

Akinbami 2002

Akinbami LJ, Schoendorf KC. Trends in childhood asthma: prevalence, health care utilization, and mortality. Pediatrics 2002;110(2 pt 1):315‐22.

Akinbami 2006

Akinbami L, Centers for Disease Control and Prevention National Center for Health Statistics. The state of childhood asthma, United States, 1980‐2005. Advance Data 2006;12(381):1‐24.

Asthma UK 2011

Asthma UK. Asthma UK’s Research Strategy: 2011–2016. asthma.org.uk/globalassets/research/research_strategy_2011‐2016.pdf (accessed 11 May 2016).

Butz 2007

Butz AM, Walker JM, Pulsifer M, Winkelstein M. Shared decision making in school age children with asthma. Journal of Pediatric Nursing 2007;33(2):111‐6.

Caress 2005

Caress A‐L, Beaver K, Luker K, Campbell M, Woodcock A. Involvement in treatment decisions: what do adults with asthma want and what do they get? Results of a cross sectional survey. Thorax 2005;60(3):199‐205.

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 and Medicine 1997;44(5):681‐92.

Charles 1999

Charles C, Gafni A, Whelen T. Decision‐making in the physician‐patient encounter: revisiting the shared treatment decision‐making model. Social Science and Medicine 1999;49:651‐61.

Coulter 2011

Coulter A, Collins A. Making shared decision‐making a reality: no decision about me, without me. kingsfund.org.uk/sites/files/kf/Making‐shared‐decision‐making‐a‐reality‐paper‐Angela‐Coulter‐Alf‐Collins‐July‐2011_0.pdf (accessed 16 August 2016).

Coxeter 2015

Coxeter P, Del Mar CB, McGregor L, Beller EM, Hoffmann TC. Interventions to facilitate shared decision making to address antibiotic use for acute respiratory infections in primary care. Cochrane Database of Systematic Reviews 2015, Issue 11. [DOI: 10.1002/14651858.CD010907.pub2]

Daly 2016

Daly R, Bunn F, Goodman C. Shared decision‐making for people living with dementia in extended care settings: protocol for a systematic review. BMJ Open 2016;6(11):e012955. [DOI: 10.1136/bmjopen‐2016‐012955]

de Benedictis 2007

de Benedictis D, Bush A. The challenge of asthma in adolescence. Pediatric Pulmonology 2007;42:683‐92.

Durand 2014

Durand MA, Carpenter L, Dolan H, Bravo P, Mann M, Bunn F, et al. Do interventions designed to support shared decision making reduce health inequalities? A systematic review and meta‐analysis. PLoS One 2014;9(4):e94670.

Dwamena 2012

Dwamena F, Holmes‐Rovner M, Gaulden CM, Jorgenson S, Sadigh G, Sikorskii A, et al. Interventions for providers to promote a patient‐centred approach in clinical consultations. Cochrane Database of Systematic Reviews 2012, Issue 12. [DOI: 10.1002/14651858.CD003267.pub2]

Gibson 2002

Gibson PG, Powell H, Wilson A, Abramson MJ, Haywood P, Bauman A, et al. Self‐management education and regular practitioner review for adults with asthma. Cochrane Database of Systematic Reviews 2002, Issue 3. [DOI: 10.1002/14651858.CD001117]

GINA 2016

Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention, 2017. http://ginasthma.org/2017‐gina‐report‐global‐strategy‐for‐asthma‐management‐and‐prevention/ (accessed 28 February 2017).

Global Asthma Network 2014

Global Asthma Network. The Global Asthma Report 2014. http://globalasthmareport.org/index.php (accessed 3 May 2016).

GRADEpro GDT [Computer program]

GRADE Working Group, McMaster University. GRADEpro GDT. Version accessed 11 May 2016. Hamilton (ON): GRADE Working Group, McMaster University, 2014.

Guevara 2003

Guevara JP, Wolf FM, Grum CM, Clark NM. Effects of educational interventions for self management of asthma in children and adolescents: systematic review and meta‐analysis. BMJ 2003;326(7402):1308‐9.

Higgins 2011

Higgins JPT, Green S editor(s). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. http://handbook.cochrane.org/.

Institute of Medicine 2009

Committee On Comparative Effectiveness Research Prioritization. Initial National Priorities for Comparative Effectiveness Research. Washington, DC: National Academy Press, 2009.

Joosten 2008

Joosten EAG, DeFuentes‐Merillas L, de Weert GH, Sensky T, van der Staak CPF, de Jong CAJ. Systematic review of the effects of shared decision‐making on patient satisfaction, treatment adherence and health status. Psychotherapy and Psychosomatics 2008;77:219‐26.

Légaré 2013

Légaré F, Witteman HO. Shared decision making: examining key elements and barriers to adoption into routine clinical practice. Health Affairs 2013;32(2):276‐84.

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]

Moher 2009

Moher D, Liberati A, Tetzlaff J, Altman D. Preferred reporting items for systematic reviews and meta‐analyses: the PRISMA statement. PLoS Medicine 2009;6(7):e1000097. [DOI: 10.1371/journal.pmed.1000097]

NHLBI/NAEPP 2007

National Heart, Lung and Blood Institute and the National Asthma Education and Prevention Program. Guidelines for the diagnosis and management of asthma (EPR‐3). Section 3, Component 2: education for a partnership in asthma care. https://nhlbi.nih.gov/files/docs/guidelines/05_sec3_comp2.pdf (accessed 11 May 2016).

NRAD 2014

National Review of Asthma Deaths. Why asthma still kills: the national review of asthma deaths. https://rcplondon.ac.uk/sites/default/files/why‐asthma‐still‐kills‐full‐report.pdf (accessed 3 May 2016).

RevMan 2014 [Computer program]

Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager (RevMan 5). Version 5.3. Copenhagen: Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Rivera‐Spoljaric 2014

Rivera‐Spoljaric K, Halley M, Wilson SR. Shared clinician‐patient decision‐making about treatment of pediatric asthma: what do we know and how can we use it?. Current Opinions in Allergy and Clinical Immunology 2014;14(2):161‐7.

Shay 2015

Shay LA, Lafata JE. Where is the evidence? A systematic review of shared decision making and patient outcomes. Medical Decision Making 2015;35(1):114‐31.

Sleath 2011

Sleath BL, Carpenter DM, Sayner R, Ayala GX, Williams D, Davis S, et al. Child and caregiver involvement and shared decision‐making during asthma pediatric visits. Journal of Asthma 2011;48(10):1022‐31.

Snyder 2016

Snyder H, Engström J. The antecedents, forms and consequences of patient involvement: a narrative review of the literature. International Journal of Nursing Studies 2016;53:351‐78.

Veroff 2013

Veroff D, Marr A, Wennberg DE. Enhanced support for shared decision making reduced costs of care for patients with preference‐sensitive conditions. Health Affairs 2013;32(2):285‐93.

Wyatt 2015

Wyatt KD, List B, Brinkman WB, Prutsky Lopez G, Asi N, et al. Shared decision making in pediatrics: a systematic review and meta‐analysis. Systematic Review 2015;51:573–83.

Kew 2016

Kew KM, Malik P. Shared decision‐making for people with asthma. Cochrane Database of Systematic Reviews 2016, Issue 8. [DOI: 10.1002/14651858.CD012330]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Clark 1998

Methods

Study design: parallel, open‐label, cluster RCT

Length of observation: 22 months

Setting: 74 general practices in Michigan and New York, USA

Participants

Population: 74 physicians were randomised and 69 completed the trial. It is not clear how many were randomised to each group, but the study states that 637 children were recruited in total, and outcome data were available for 472.

Baseline characteristics

Baseline data were reported for the whole population rather than for each group. 60% of physicians and 70% of children were male. Physician and child ages were reported in brackets rather than as a mean per group. 30% of families were Latino/Hispanic (15%) or African American (15%).

Inclusion criteria:Physician criteria: primary specialty of general paediatrics; licensed no earlier than 1960; providing direct patient care; if board‐specialised, certified only in paediatrics; willing to take part in the interactive seminar if randomised to the treatment group. Child criteria: 1 to 12 years of age; diagnosis of asthma made by a physician; no other chronic disorders with pulmonary complications; at least 1 emergency medical visit for asthma in the previous year. An emergency visit was a hospitalisation, emergency department (ED) visit, or physician office visit on an emergency basis defined as administration of epinephrine subcutaneously or bronchodilators by aerosol.

Exclusion criteria: none in addition to inclusion criteria

Interventions

Intervention: shared decision‐making seminars for clinicians

Interactive seminar based on self‐regulation theory to guide physicians in NAEPP care and to engage in interactive conversations with patients to derive information for making therapeutic decisions, create a supportive atmosphere, reinforce self‐management, give a view of the long‐term therapeutic plan, and build patients’ confidence in controlling symptoms and using medicines. Materials included brief lectures from respected asthma specialists; a video depicting effective clinician teaching and communications behaviour; case studies presenting troublesome clinical problems; a protocol by which physicians could assess their own behaviour regarding patient communications; and review of messages to communicate and materials to use when teaching patients.

Resources: The seminar comprised 2 face‐to‐face group meetings, each lasting 2 ½ hours, held over a 2‐ to 3‐week period.

Control: usual care

Physicians in the control group were randomly assigned a date corresponding to 1 of the 3 seminar time points, to determine when follow‐up interviews of their patients should begin.

Outcomes

Physician survey (items related to using clinical practice methods/medicines, encouraging self‐management, and providing patient teaching and communications). Analysis of data illustrated close correlation between physician and parent descriptions of behaviour. Questions on the parent interview form related to symptom status of the child, medicines prescribed, use of healthcare services for asthma (ED visits, hospitalisations, physician office visits), parents’ observations and opinions of physicians’ teaching and communications behaviours, other aspects of the clinician–patient interaction

Notes

Trial registration: not reported

Funding: supported by MD/Family Partnership ‐ Education in Asthma Management grant number HL‐44976 from the Lung Division of the National Heart, Lung, and Blood Institute

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"randomized, controlled study design" but no description of how this was done

Allocation concealment (selection bias)

High risk

"Names of patients meeting criteria were selected by the investigators at random from the roster provided by physicians", which may have introduced recruitment bias within practices, even if practices were themselves randomised adequately to groups

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Patients and their parents were blind to physicians’ involvement in the intervention."

"A potential source of bias in the study was that physicians would give positive reports of their behavior to be consistent with good clinical and communications practices. To guard against such bias, data were collected from parents of patients regarding physician behavior as a means of corroborating physician reports."

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

"Patients and parents were blind so outcomes measured by them can be considered low risk of bias. Outcomes measured or self‐assessed by the physicians taking part in the study are at high risk of detection bias."

"A potential source of bias in the study was that physicians would give positive reports of their behavior to be consistent with good clinical and communications practices. To guard against such bias, data were collected from parents of patients regarding physician behavior as a means of corroborating physician reports."

Patients and parents were blinded to their physician's participation in the intervention. Depends who is reporting the outcome, and to whom. Will be assessed separately when GRADE is applied

Incomplete outcome data (attrition bias)
All outcomes

High risk

"Data were collected from physicians at baseline, and 69 (93%) provided follow‐up data 5 months after the program. Data were also collected from 637 of their patients at baseline, and in a 22‐month window after the intervention, 472 (74%) of this number provided follow‐up data." Unclear how many were randomised to each group and whether dropout was balanced, but nonetheless quite high attrition overall

Selective reporting (reporting bias)

High risk

Study does not report methods fully, for example, number of people assigned to each group and participant flow. In terms of data, uncertainty regarding the number of participants per group means that data are difficult to analyse reliably in meta‐analyses. Some data relevant to this review are presented narratively. We did not identify a study protocol or trial registration

Other bias

Low risk

None noted

Fiks 2015

Methods

Study design: parallel, individually randomised, open‐label RCT

Length of observation: 6 months

Setting: 3 primary care practices (1 urban, 2 suburban) in Philadephia, USA

Participants

Population: 60 families were randomised to the online portal for SDM (30) or to the control group (30).

Baseline characteristics

Mean age was 8.3 years (SD 1.9) in the intervention group and 8.2 years (SD 1.9) in the control group. 43% of the intervention group and 40% of the control group were white. In the intervention group, 60% had mild asthma, 37% moderate, and 3% severe. In the control group, 47% had mild asthma, 47% moderate, and 6% severe.

Inclusion criteria: Eligible participants were children aged 6 to 12 years with persistent asthma who received care at a study site, along with their parent or legal guardian. We enrolled English‐speaking parents/guardians who served as the primary member of their household involved in communicating with the doctor’s office and had consistent computer and Internet access.

Exclusion criteria: At clinicians’ discretion, parents of children whose asthma was not a primary or current health concern were excluded, as were those not currently taking a controller medication.

Interventions

Intervention: shared decision‐making portal

MyAsthma, developed with input from families and clinicians with the goal of fostering ongoing SDM, provided decision support to both clinicians and parents. The clinician interface appeared in the electronic health record (EHR), and the parent interface appeared within MyChart, the EHR vendor’s patient portal. Features include identification of parents’ concerns and goals for asthma treatment; monthly symptom tracking, drug side effects, goal progress; educational content; and asthma care plan. Parents were encouraged via email to complete monthly portal surveys. Answers informed guideline‐based decision support for parents and clinicians, directing them to speak to one another if asthma was not well controlled, or if side effects occurred, or to continue current therapy.

Control: usual care + decision support

Families in the control group did not have access to the portal; however, clinicians caring for control group children had access to a clinician‐focused decision support system proven effective in fostering guideline‐based care.

Outcomes

Families completed surveys at enrolment and at 3 and 6 months. Feasibility assessed as % of participants in intervention group completing the monthly portal survey. Acceptability of asthma care measured at 6 months on 11‐point Likert scale. Clinical outcomes were numbers of asthma ED visits, hospitalisations, and specialist and GP visits over the 6‐month study (parental report validated when possible by chart review); number of prescriptions assessed through EHR; and number of days of missed school (child) or work (parent) over past month. Parent Patient Activation Measure. Integrated Therapeutics Group ‐ Child Asthma Short Form (ITG‐ASF) as quality of life measure. ACT as control measure

Notes

Trial registration: NCT01715389

Funding: supported by the Chair’s Initiative Grant and the William Wikoff Smith Endowed Chair in Pediatric Genomics from Children’s Hospital of Philadelphia, and by award number K23HD059919 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"A randomization sequence was generated by the study coordinator (SLM). Randomization was stratified by practice and by whether the child had mild or moderate versus severe persistent asthma."

Allocation concealment (selection bias)

Low risk

"Sealed envelopes were used to ensure blinding of study staff to treatment condition before enrolment and randomization."

Blinding of participants and personnel (performance bias)
All outcomes

High risk

'Parents either had access to the portal or not so it was not possible to blind them to treatment allocation. This knowledge may have affected clinician and parent behaviour during the study and potentially biased outcomes."

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcomes were generally parent rated, which would introduce high risk of detection bias. Resource use outcomes and prescription refills would be less subject to detection biases.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

4 families in the intervention group (13.3%) and 3 in the control group (10%) could not be reached via phone or email. These families were not included in the analysis, but dropout was judged to be low and balanced enough that outcomes are unlikely to have been biased.

Selective reporting (reporting bias)

High risk

Some outcomes listed in the protocol that were of interest to this review were not fully reported in the paper or on clinicaltrials.gov (e.g. satisfaction with asthma care between groups, total scores on the ITG‐ASF and ACT).

Other bias

Unclear risk

Study authors noted: "The study population was a convenience sample based largely on clinician recommendation and was not designed to be representative of all children with asthma in the care network." This does not necessarily introduce bias.

van Bragt 2015

Methods

Study design: parallel, cluster‐randomised, single‐blind RCT

Acronym: PELICAN

Length of observation: 9 months

Setting: 5 outpatient clinics in Holland

Participants

Population: 33 children were randomised within the 5 clusters to the intervention group (15) or the control group (18)

Baseline characteristics

66.7% of the intervention group and 57.1% of the control group were male. Mean age was 8.4 years (SD 1.7) in the intervention group and 8.7 years (SD 1.7) in the control group. 93.3% of the intervention group and 100% of the control group were white. In the intervention group, mean FEV1 was 111%; 80% were on ICS; mean PAQLQ was 6.35 (1.17); and ACQ 0.5 (0.6). In the control group, mean FEV1 was 101%; 57% were on ICS; mean PAQLQ was 6.02 (0.89); and ACQ 0.8 (1.4).

Inclusion criteria: Children had physician‐diagnosed asthma, were 6 to 12 years of age, and used asthma medication (i.e. bronchodilators and/or inhaled corticosteroids) for at least 6 weeks during the previous year.

Exclusion criteria: comorbid conditions that significantly influence health‐related quality of life, not able to attend a regular school class (as an indicator of normal intelligence), and insufficient skills in speaking and/or reading the Dutch language

Interventions

Intervention: shared decision‐making online tool

Nurse‐led patient‐centred care via an online tool. First, children completed the PAQLQ and selected 1 to 3 personal asthma problems, which were forwarded to the nurse. Then at the consultation, the nurse discussed with the child and parent which problem to prioritise, discussed details of the problem and chose a treatment goal through shared decision‐making, formulated a SMART goal (specific, measurable, acceptable, realistic, and time‐bound), brainstormed solutions together and documented an action plan, discussed results at the next visit, and repeated if necessary. Nurses were trained in the process during a 2‐hour meeting before the study.

Control: enhanced usual care

Besides usual care, the intervention group also received recommendations based on the Pelican outcome by a practice nurse. Described as enhanced usual care as seen more regularly than would be the case in practice.

Outcomes

Primary: quality of life (PAQLQ). Secondary: asthma control (ACQ), symptoms and medication via a diary, cost‐effectiveness, caregiver quality of life (PACQLQ), process outcomes

Notes

Trial registration: NCT01109745

Funding: Dutch Lung Foundation (previously Dutch Asthma Foundation), NutsOhra foundation, and a grant from the Nijmegen Centre of Evidence‐Based Practice (RadboudUMC grant)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"assigned children…in a 1:1 ratio using minimization software (Minim) that forced a balance between study arms for age (6–8 vs. 9–11 years old) and asthma control (ACQ score <1 vs greater than or equal to 1)"

Allocation concealment (selection bias)

Unclear risk

Not described but states that individual practices managed allocation to groups, which may not have adequately controlled for selection biases

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Children, parents, and nurses were aware of treatment allocation."

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"This was a single‐blinded study. The analyses presented in this manuscript were based on blinded data. The study code was broken after the analyses were concluded." Study does not specify who was blinded. Outcome assessment and several outcomes were patient‐rated, which would introduce high risk of detection bias.

Incomplete outcome data (attrition bias)
All outcomes

High risk

Protocol states: "The primary analysis is an intention‐to‐treat analysis, however both explanatory and intention‐to‐treat analyses will be performed."

"A total of 33 children started with the study, 15 in the intervention group and 18 in the usual care group. One child was lost to follow‐up during the study and three children had too many missing data of the primary outcome, leaving 29 children for the analysis." All dropouts were from the usual care group.

Selective reporting (reporting bias)

Low risk

Outcomes relative to the review that were defined in the trial registration were reported but could not be included in meta‐analyses owing to non‐parametric methods.

Other bias

High risk

The 33 children recruited were significantly fewer than the 170 planned, which (1) meant the study was underpowered and (2) may reflect the feasibility of the intervention.

"112 general practices was invited to participate of which 28 practices did not respond and 73 other practices refused participation for reasons such as lack of time, participation in other research projects, too few pediatric asthma patients or no affinity. Of the 11 practices that decided on participation, two practices were withdrawn due to lack of sufficient participants."

Wilson 2010

Methods

Study design: parallel, individually randomised, open‐label RCT

Acronym: BOAT

Length of observation: 52 weeks and 104 weeks

Setting: 5 clinical Kaiser Permanante (a not‐for‐profit health plan) sites in the USA

Participants

Population: 612 adults were randomised to a shared decision‐making intervention (204), clinical decision‐making (204), or a usual care group (204).

Baseline characteristics

43.6% of the SDM group was male, 44.1% of the CDM group, and 42.6% of the usual care group. Mean age was 45.7 (SD 13.3) in the SDM group, 46.9 (SD 12.1) in the CDM group, and 45.1 (SD 12.4) in the usual care group. Most participants were white (62.8% SDM, 60.8% CDM, 62.3% usual care). Most participants' asthma symptoms were poorly or very poorly controlled (85.8% SDM, 82.9 CDM, 83.2 usual care). Other characteristics presented included education level, family income, smoking, controller medication use, recent hospitalisation, symptom frequency, and categories of FEV1 % predicted.

Inclusion criteria: patients whose asthma was not well controlled, and whose adherence to their asthma regimen was likely to be inadequate. KP members, aged 18 to 70 years, with evidence suggestive of poorly controlled asthma, were identified at 5 clinical sites using computerised records of overuse of rescue medications (a controller/[controller + rescue medication] ratio < 0.5 and at least 3 beta‐agonist dispensings in the past year) or a recent asthma‐related ED visit or hospitalisation.

Exclusion criteria: intermittent asthma (brief exacerbations or symptoms less than once/week), primary diagnosis of chronic obstructive pulmonary disease or emphysema, insufficient pulmonary function reversibility (for ex‐/current smokers and those without regular controller use), regular use of oral corticosteroids, current asthma care management

Interventions

Intervention: shared decision‐making

Sessions followed the same structure as clinical decision‐making but with the following added: description of SDM approach, identification and summary of patient goals and preferences, discussion of options and relative merits in terms of patients' goals and preferences, and negotiation of a treatment decision. Five sessions; 2 face‐to‐face and 3 over the phone at 3, 6, and 9 months. Intervention delivered to participants by 16 nurses, respiratory therapists, pharmacists, nurse practitioners, and physicians' assistants, most of whom were already asthma care managers. Specific training in shared decision‐making was provided.

Control 1: clinical decision‐making

Sessions included the following: building rapport, schedule for sessions, symptom/medication/triggers assessed, asthma understanding assessed and improved, spirometry reviewed, asthma severity and control determined using GINA, adherence problems addressed, new regimen recommended based on guidelines, prescription, action plan, inhaler technique instruction and asthma diary given, follow‐up appointment set. Five sessions; 2 face‐to‐face and 3 over the phone at 3, 6, and 9 months. Intervention delivered to participants by 16 nurses, respiratory therapists, pharmacists, nurse practitioners, and physicians' assistants, most of whom were already asthma care managers. Specific training in clinical decision‐making was provided.

Control 2: usual care

Usual care based on a stepped‐care approach to pharmacotherapy with the aim of long‐term asthma control, as recommended by the National Asthma Education Prevention Program’s Expert Panel Report 2. At some sites, clinicians had the option to refer patients to an asthma care management program similar to but less structured than the clinician decision‐making intervention.

Outcomes

Primary: adherence to controller medications, better asthma‐related quality of life, lower health care utilisation for acute symptoms than among patients who received usual care (no asthma care management). Secondary: short‐acting beta‐agonist (SABA) use, lung function, asthma control

Notes

Trial registration: NCT00149526; NCT00217945

Funding: supported by National Institutes of Health grants R01 HL69358 and R18 HL67092

Notes: Adherence was measured using a continuous medication acquisition (CMA) index for each year, calculated as the total days’ supply acquired in a given year divided by 365 days (30–32). The index represents the proportion of the prescribed medication supply acquired by the patient during each 365‐day period, and may potentially overestimate, but not underestimate, actual use.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A computer‐based adaptive randomization algorithm was used to ensure concealment from randomization staff and better‐than‐chance balance among the three groups on age (18–34, 35–50, and 51–70 yr), sex, race/ethnicity, hospitalisation in the prior two years (yes/no), and frequency of asthma controller use in the past week (none,1–3, ≥4 d)."

Allocation concealment (selection bias)

Low risk

"computer‐based adaptive randomization algorithm was used to ensure concealment from randomization staff"

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Study investigators and participants could not be kept blind to treatment allocation owing to the nature of the interventions.

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Most outcomes would be subject to some form of detection bias by knowledge of treatment allocation, particularly self‐rated outcomes.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Similar proportions of participants in each group were followed up at 12 months (89.2% in the SDM group, 88.2% in the CDM group, and 92.6% in the usual care group). Attendance was similar in SDM and CDM groups for all time points except 9 months, where fewer people in the CDM group (59.3%) than the SDM group (75.5%) attended. It is assumed that attendance at the session resulted in gathering of appropriate outcome data at this time point.

Selective reporting (reporting bias)

High risk

Several outcomes are not reported fully for year 2 (including adherence and asthma control), and only results for the symptom subscale are given for the quality of life measure, rather than the total score.

Other bias

Low risk

None noted

ACQ: Asthma Control Questionnaire; ACT: Asthma Control Test; CDM: clinician decision‐making; CMA: continuous medication acquisition; ED: emergency department; EHR: electronic health record; FEV1: forced expiratory volume in one second; GINA: Global Initiative for Asthma; GP: general practitioner; ICS: inhaled corticosteroid; ITG‐AST: Integrated Therapeutics Group ‐ Child Asthma Short Form; NAEPP: National Asthma Education and Prevention Program; PACQLQ: Pediatric Asthma Caregiver's Quality of Life Questionnaire; PAQLQ: Pediatric Asthma Quality of Life Questionnaire; RCT: randomised controlled trial; SD: standard deviation; SDM: shared decision‐making; SMART: specific, measurable, acceptable, realistic, and time‐bound (goal).

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Early 2015

Population does not match the inclusion criteria: mixed respiratory population; only 17% had asthma and results are not given separately

Ford 1996

Intervention does not match the inclusion criteria: Focus is asthma education, self‐management, and empowerment, rather than shared decision‐making.

Gorelick 2006

Intervention does not match the inclusion criteria: case management/discharge planning from emergency department. Emphasis is not on shared decision‐making.

Moffat 2008

Intervention does not match the inclusion criteria: Main emphasis is on communication skills. Not enough information about the intervention to include confidently (only abstracts, no full publication identified)

NCT00170248

Intervention does not match the inclusion criteria: Focus is on supporting physicians' decisions, not on sharing decisions with patients

NCT00214669

Intervention does not match inclusion criteria; broad intervention in which shared decision‐making was not the primary focus

NCT01522144

Not an RCT: single group assignment

Smith 2008

Intervention does not match the inclusion criteria: patient‐centred education following ED visit, not decision‐making

Sockrider 2001

Intervention does not match the inclusion criteria: video to educate asthma families to follow an action plan. Some emphasis on communication but not strictly on shared decision‐making with a clinician

Tapp 2014

Intervention does not match the inclusion criteria: testing different methods of disseminating a shared decision‐making intervention, rather than assessing whether it works

Tieffenberg 2000

Intervention does not match the inclusion criteria: child‐centred care and empowerment to self‐manage asthma, not shared decision‐making

ED: emergency department; RCT: randomised controlled trial.

Characteristics of studies awaiting assessment [ordered by study ID]

Gagné 2017

Methods

Parallel randomised controlled trial

Participants

Convenience sample of participants 18 to 65 years, with diagnosis of mild to severe asthma, and prescribed inhaled corticosteroids, alone or in combination with long‐acting β2‐agonists

Interventions

Asthma eduction plus decision aid vs asthma education alone

Outcomes

Knowledge of asthma; decisional conflict; appropriate use of asthma pharmacotherapy; asthma control

Notes

Funding: Principal investigator and co‐investigator received a grant from the Allergy, Genes and Environment Network for funding of the research (reference number for the project: 11CKT2). Funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publication: peer‐reviewed journal article

Characteristics of ongoing studies [ordered by study ID]

Federman 2015

Trial name or title

Rationale and design of a comparative effectiveness trial of home‐ and clinic‐based self‐management support coaching for older adults with asthma

Methods

Pragmatic randomised controlled trial with 3 arms

Participants

425 adults with asthma aged ≥ 60, based in New York

Interventions

1. Intervention delivered in primary care

2. Intervention delivered at home

3. Usual care

"In the intervention, care coaches use a novel screening tool to identify the specific barriers to asthma control and self‐management they experience. Once identified, the coach and patient choose from a menu of actions to address it. The intervention emphasizes efficiency, flexibility, shared decision making and goal setting, communication strategies appropriate for individuals with limited cognition and literacy skills, and ongoing reinforcement and support. Additionally, we introduced asthma‐specific enhancements to the electronic health records of all participating clinical practices, including an asthma severity assessment, clinical decision support, and a patient‐tailored asthma action plan."

Outcomes

Patients will be followed for 12 months and interviewed at baseline, and at 3, 6, and 12 months; data on emergency department visits and hospitalisations will be obtained through the New York State Statewide Planning and Research Cooperative System.

Starting date

Unclear

Contact information

Alex D Federman ‐ Division of General Internal Medicine, Icahn School of Medicine at Mount SInai, New York

Notes

Hoskins 2013

Trial name or title

Goal‐setting intervention in patients with active asthma

Methods

Two‐armed, single‐blind, multi‐centre, cluster‐randomised controlled feasibility trial

Participants

Planned recruitment: 80
Primary care patients with active asthma from at least 8 practices across 2 health boards in Scotland (10 patients per practice, resulting in ˜40 in each arm)

Interventions

"Patients in the intervention arm will be asked to complete a novel goal‐setting tool immediately prior to an asthma review consultation. This will be used to underpin a focused discussion about their goals during the asthma review. A tailored management plan will then be negotiated to facilitate achieving their prioritised goals. Patients in the control arm will receive a usual care guideline‐based review of asthma."

Outcomes

"Data on quality of life, asthma control and patient confidence will be collected from both arms at baseline and 3 and 6 months post‐intervention. Data on health services resource use will be collected from all patient records 6 months pre‐ and post‐intervention. Semi‐structured interviews will be carried out with healthcare staff and a purposive sample of patients to elicit their views and experiences of the trial. The outcomes of interest in this feasibility trial are the ability to recruit patients and healthcare staff, the optimal method of delivering the intervention within routine clinical practice, and acceptability and perceived utility of the intervention among patients and staff."

Starting date

Overall trial start date: 01/09/2012

Overall trial end date: 30/11/2013

Contact information

Dr Gaylor Hoskins ‐ Nursing Midwifery and Allied Health Professions (NMAHP) Research Unit, Iris Murdoch Building, University of Stirling

Notes

NCT02516449

Trial name or title

Assessment of shared decision‐making aids in asthma

Methods

Randomised, parallel, double‐blind study (investigators and outcome assessors blinded)

Participants

Planned enrolment: 51

Men or women, aged 18 to 65 years, with current diagnosis of mild to severe asthma (details of asthma eligibility given on clinicaltrials.gov)

People with COPD or recent asthma education (last 6 months) excluded

Interventions

Patient decision aid that participants read and fill before being provided education on asthma. The decision aid is a 12‐page A3 booklet entitled "Should I take asthma inhaled controller medication to optimize asthma control?"

Control group received no intervention.

Outcomes

Primary outcomes: asthma knowledge measured by QCALF score and decisional conflict measured by DCS score (both as change from baseline to 2 months)
Secondary outcomes: adherence to treatment, measured by questionnaire, and asthma control, measured by ACSS score (both as change from baseline to 2 months)

Starting date

March 2013 ‐ Study authors confirmed that study was undergoing amendments at the time of writing of this review.

Contact information

Louis‐Philippe Boulet, MD, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec

Notes

Tapp 2011

Trial name or title

Comparative effectiveness of asthma interventions within a practice‐based research network

Methods

Unclear if randomised. A centralised database will be created with the goal of facilitating comparative effectiveness research on asthma outcomes specifically for this study. Patient and community level analysis will include results from patient surveys, focus groups, and asthma patient density mapping. Community variables such as income and housing density will be mapped for comparison.

Participants

This study will include 95 practices, 171 schools, and more than 30,000 asthmatic patients.

Interventions

  • Group A is the usual care control group without electronic medical record (EMR).

  • Group B includes a second control group that has an EMR with decision support, asthma action plans, and population reports at baseline. A time delay design during year 1 converts practices in Group B to Group C after integrated approach to care intervention.

  • Four practices within Group C will receive the shared decision‐making intervention (and will become Group D).

  • Group E will receive a school‐based care intervention through case management within the schools.

Outcomes

Hospitalisations and emergency department visits; improved adherence to medication; improved quality of life; reduced school absenteeism; improved self‐efficacy;
improved school performance

Starting date

Unclear

Contact information

[email protected] ‐ Carolinas Physicians Network, Carolinas HealthCare System, Charlotte, NC

Notes

ACSS: Asthma Control Scoring System; COPD: chronic obstructive pulmonary disease; DCS: Decisional Conflict Scale; EMR: electronic medical record; QCALF: self‐administered French scale assessing four domains of asthma knowledge.

Data and analyses

Open in table viewer
Comparison 1. Shared decision‐making versus usual care

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Quality of life improvement (AQLQ responders) Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 1.1

Comparison 1 Shared decision‐making versus usual care, Outcome 1 Quality of life improvement (AQLQ responders).

Comparison 1 Shared decision‐making versus usual care, Outcome 1 Quality of life improvement (AQLQ responders).

2 Quality of life scores (ITG‐ASF) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 1.2

Comparison 1 Shared decision‐making versus usual care, Outcome 2 Quality of life scores (ITG‐ASF).

Comparison 1 Shared decision‐making versus usual care, Outcome 2 Quality of life scores (ITG‐ASF).

2.1 ITG‐ASF night‐time symptom scale

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

2.2 ITG‐ASF daytime symptom scale

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

2.3 ITG‐ASF functional limitation scale

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

3 Quality of life scores (mini‐AQLQ) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 1.3

Comparison 1 Shared decision‐making versus usual care, Outcome 3 Quality of life scores (mini‐AQLQ).

Comparison 1 Shared decision‐making versus usual care, Outcome 3 Quality of life scores (mini‐AQLQ).

4 Medication adherence Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 1.4

Comparison 1 Shared decision‐making versus usual care, Outcome 4 Medication adherence.

Comparison 1 Shared decision‐making versus usual care, Outcome 4 Medication adherence.

4.1 All medications

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

4.2 ICS only

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

5 Exacerbations of asthma Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 1.5

Comparison 1 Shared decision‐making versus usual care, Outcome 5 Exacerbations of asthma.

Comparison 1 Shared decision‐making versus usual care, Outcome 5 Exacerbations of asthma.

5.1 Requiring hospital admission

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

5.2 Requiring ED visit

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

5.3 Requiring specialist visit

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

5.4 Requiring GP visit

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

6 Asthma well controlled Show forest plot

2

Odds Ratio (Fixed, 95% CI)

Totals not selected

Analysis 1.6

Comparison 1 Shared decision‐making versus usual care, Outcome 6 Asthma well controlled.

Comparison 1 Shared decision‐making versus usual care, Outcome 6 Asthma well controlled.

6.1 ACQ < 1

1

Odds Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

6.2 ACT > 22

1

Odds Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

6.3 ATAQ = 0

1

Odds Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

Study flow diagram.
Figuras y tablas -
Figure 1

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.

Comparison 1 Shared decision‐making versus usual care, Outcome 1 Quality of life improvement (AQLQ responders).
Figuras y tablas -
Analysis 1.1

Comparison 1 Shared decision‐making versus usual care, Outcome 1 Quality of life improvement (AQLQ responders).

Comparison 1 Shared decision‐making versus usual care, Outcome 2 Quality of life scores (ITG‐ASF).
Figuras y tablas -
Analysis 1.2

Comparison 1 Shared decision‐making versus usual care, Outcome 2 Quality of life scores (ITG‐ASF).

Comparison 1 Shared decision‐making versus usual care, Outcome 3 Quality of life scores (mini‐AQLQ).
Figuras y tablas -
Analysis 1.3

Comparison 1 Shared decision‐making versus usual care, Outcome 3 Quality of life scores (mini‐AQLQ).

Comparison 1 Shared decision‐making versus usual care, Outcome 4 Medication adherence.
Figuras y tablas -
Analysis 1.4

Comparison 1 Shared decision‐making versus usual care, Outcome 4 Medication adherence.

Comparison 1 Shared decision‐making versus usual care, Outcome 5 Exacerbations of asthma.
Figuras y tablas -
Analysis 1.5

Comparison 1 Shared decision‐making versus usual care, Outcome 5 Exacerbations of asthma.

Comparison 1 Shared decision‐making versus usual care, Outcome 6 Asthma well controlled.
Figuras y tablas -
Analysis 1.6

Comparison 1 Shared decision‐making versus usual care, Outcome 6 Asthma well controlled.

Summary of findings for the main comparison. Shared decision‐making compared with usual care for people with asthma

Shared decision‐making compared with usual care for people with asthma

Patient or population: adults and children with asthma
Setting: primary care/outpatient clinics
Intervention: shared decision‐making
Comparison: usual care

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

No. of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with usual care

Risk with shared decision‐making

Asthma‐related quality of life

(follow‐up: 6 to 24 months)

AQLQ responders

556 per 1000

704 per 1000
(608 to 784)

OR 1.90
(1.24 to 2.91)

371
(1 RCT)

⊕⊕⊕⊝
MODERATEa

Participants achieving > 0.5‐point improvement (MCID for this scale)

ITG‐ASF daytime symptom scale

Mean ITG‐ASF daytime symptom score was 12

MD 4 higher
(3.54 lower to 11.54 higher)

53
(1 RCT)

⊕⊝⊝⊝
VERY LOWa,b,c

Higher score = Better quality of life

The same study also reported mean night‐time symptom scale and functional limitation scale (see Analysis 1.2).

Mini‐AQLQ

Mini‐AQLQ score was 5.5

MD 0.4 higher
(0.18 higher to 0.62 higher)

371
(1 RCT)

⊕⊕⊝⊝
LOWa,c,d

Higher score = Better quality of life. MCID 0.5

Parent/patient satisfaction

Presentation on forest plot not possible; summarised narratively in text and Table 2

Medication adherence

(follow‐up: 12 to 24 months)

ICS only

The ICS adherence was 0.59

MD 0.22 higher
(0.11 higher to 0.33 higher)

371
(1 RCT)

⊕⊕⊕⊝
MODERATEe

Adherence calculated using continuous medication acquisition (CMA) from pharmacy data. Maximum score 1.

The same study reported all‐medication adherence (see Analysis 1.4).

Exacerbations of asthma

(follow‐up: 6 months)

Requiring ED visit

222 per 1,000

77 per 1,000
(14 to 314)

OR 0.29
(0.05 to 1.60)

53
(1 RCT)

⊕⊕⊝⊝
LOWf

The same study reported exacerbations requiring hospital admission, "specialist visits", and GP visits (see Analysis 1.5).

Asthma control

(follow‐up: 12 to 24 months)

Asthma well controlled; ATAQ = 0

No control group risk presented

Not estimable

OR 1.90
(1.26 to 2.87)

371

(1 RCT)

⊕⊕⊕⊝
MODERATEa

Lower score = Better asthma control

A different small study reported asthma control on ACT and ACQ (see Analysis 1.6).

Adverse events (all)

Included trials did not measure or report any adverse events.

*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).

ACQ: Asthma Control Questionnaire; ACT: Asthma Control Test; AQLQ: asthma quality of life questionnaire; ATAQ: Asthma Therapy Assessment Questionnaire CI: confidence interval; ED: emergency department; GP: general practitioner; ICS: inhaled corticosteroid; ITG‐ASF: Integrated Therapeutics Group ‐ Child Asthma Short Form; MCID: mean clinically important difference; MD: mean difference; 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.

aRisk of performance and detected bias. Downgraded once.

bOne study. Confidence intervals include possible harm and benefit of intervention. Downgraded once.

cOnly quality of life subscales reported. Downgraded once for indirectness.

dAlthough the mean difference for this scale lies below the MCID, the responder analysis suggests that significantly more people achieved the MCID change with the intervention. No downgrade.

eAdherence calculated using continuous medication acquisition from pharmacy data. This is a proxy measure and may overestimate true adherence. Downgraded once.

fOne study. Confidence intervals very wide and include possible harm and benefit of intervention. Downgraded twice.

Figuras y tablas -
Summary of findings for the main comparison. Shared decision‐making compared with usual care for people with asthma
Table 1. Summary of study characteristics

Study ID

Country

Population

Age (years)

Design

Intervention

Aimed at

Control

Clark 1998

USA

74 physicians; 637 children

1 to 12

Cluster RCT

SDM seminars

HCPs

Usual care

Fiks 2015

USA

60 families

6 to 12

Individual RCT

SDM portal

HCPs and patients/parents

Usual care + decision support

van Bragt 2015

Holland

33 children

6 to 12

Cluster RCT

SDM online tool

HCPs and patients/parents

Enhanced usual care

Wilson 2010

USA

612 adults

18 to 65

Individual RCT

SDM structured sessions

HCPs

1. Guideline‐led decision‐making

2. Usual care

HCP: healthcare provider; RCT: randomised controlled trial; SDM: shared decision‐making.

Figuras y tablas -
Table 1. Summary of study characteristics
Table 2. "Parents’ Views of Pediatricians’ Performance"; adapted from Clark 1998

Was/did the clinician:

SDM

Control

P value

(GEEa)

Reassuring and encouragingb

4.63

4.42

0.006

Look into how family managed
day to dayb

3.98

3.69

0.02

Describe how child should be fully
activec

71.%

59%

0.007

Describe at least 1 of 3 goals:
child should sleep through the
night; have no symptoms when
active; be fully activec

75%

64%

0.07

Give information to relieve specific
worriesb

4.1

3.9

0.007

Enable family to know how to make
asthma management decisionsb

4.3

4.2

0.07

aGEE method to assess "Time2" (follow‐up) scores with baseline scores and group assignment as covariates in regression models.
bA Likert‐type response scale was used, where 1 = strongly disagree and 6 = strongly agree.
cQuestion asked at "Time2" (follow‐up) only.

NB: A total of 472 parents were followed up; numbers in each group are not given.

Figuras y tablas -
Table 2. "Parents’ Views of Pediatricians’ Performance"; adapted from Clark 1998
Comparison 1. Shared decision‐making versus usual care

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Quality of life improvement (AQLQ responders) Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

2 Quality of life scores (ITG‐ASF) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

2.1 ITG‐ASF night‐time symptom scale

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

2.2 ITG‐ASF daytime symptom scale

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

2.3 ITG‐ASF functional limitation scale

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

3 Quality of life scores (mini‐AQLQ) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

4 Medication adherence Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

4.1 All medications

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

4.2 ICS only

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

5 Exacerbations of asthma Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

5.1 Requiring hospital admission

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

5.2 Requiring ED visit

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

5.3 Requiring specialist visit

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

5.4 Requiring GP visit

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

6 Asthma well controlled Show forest plot

2

Odds Ratio (Fixed, 95% CI)

Totals not selected

6.1 ACQ < 1

1

Odds Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

6.2 ACT > 22

1

Odds Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

6.3 ATAQ = 0

1

Odds Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

Figuras y tablas -
Comparison 1. Shared decision‐making versus usual care