Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: J Rheumatol. 2015 Apr 15;42(12):2442–2447. doi: 10.3899/jrheum.141205

Development of a Draft Core Set of Domains for Measuring Shared Decision Making in Osteoarthritis: An OMERACT Working Group on Shared Decision Making

Karine Toupin April 1, Jennifer Barton 2, Liana Fraenkel 3, Linda Li 4, Viviane Grandpierre 5, Francis Guillemin 6, Tamara Rader 7, Dawn Stacey 8, France Légaré 9, Janet Jull 10, Jennifer Petkovic 11, Marieke Scholte Voshaar 12, Vivian Welch 13, Anne Lyddiatt 14, Cathie Hofstetter 15, Maarten De Wit 16, Lyn March 17, Tanya Meade 18, Robin Christensen 19, Cécile Gaujoux-Viala 20, Maria E Suarez-Almazor 21, Annelies Boonen 22, Christoph Pohl 23, Richard Martin 24, Peter Tugwell 25
PMCID: PMC4607553  NIHMSID: NIHMS662717  PMID: 25877502

Abstract

Objective

Despite the importance of shared decision making for delivering patient-centred care in rheumatology, there is no consensus on how to measure its process and outcomes. The aim of this OMERACT working group is to determine the core set of domains for measuring shared decision making in intervention studies in adults with osteoarthritis (OA), from the perspective of patients, health professionals and researchers.

Methods

We followed the OMERACT Filter 2.0 to develop a draft core domain set, which consisted of: (i) forming an OMERACT working group; (ii) conducting a review of domains of shared decision making; and (iii) obtaining the opinions of stakeholders using a modified nominal group process held at a session activity at the OMERACT 2014 meeting.

Results

26 stakeholders from Europe, North America and Australia, including 5 patient research partners, participated in the session activity. Participants identified the following domains for measuring shared decision making to be included as part of the Draft Core Set: 1) Identifying the decision; 2) Exchanging Information; 3) Clarifying views; 4) Deliberating; 5) Making the decision; 6) Putting the decision into practice; and 7) Assessing the impact of the decision. Contextual factors were also suggested.

Conclusion

We propose a Draft Core Set of shared decision making domains for OA intervention research studies. Next steps include a workshop at OMERACT 2016 to reach consensus on these proposed domains in the wider OMERACT group, as well as detail sub-domains and assess instruments to develop a Core Outcome Measurement Set.

Key indexing terms: Shared decision making, osteoarthritis, OMERACT, implementation, knowledge translation, outcomes, outcome assessment

Introduction

The treatment of various rheumatic conditions, such as osteoarthritis (OA), should be based on a shared decision between patient and health professionals (15). Shared decision making, is a process in which both the patient and health professional make a decision taking into account the best evidence of available treatment options and the patient’s values and preferences (6). Despite the importance of shared decision making for delivering patient-centred care in rheumatology, health professionals are sometimes reluctant to put it into practice due to misconceptions such as it being too time-consuming for the busy clinical context or not being compatible with clinical practice guidelines (7). However, such claims are unsupported by evidence (810), and shared decision making interventions have been shown to reduce decisional conflict (in terms of feeling uninformed and unclear about personal values), facilitate patient participation in decision making and reduce overuse of high risk interventions (9).

One of the barriers to studying and using shared decision making interventions in rheumatology is the fact that there is no consensus on how to measure their effectiveness in rheumatology studies, both concerning the shared decision making process and outcomes.

The aim of this OMERACT working group is to determine the core set of domains for measuring shared decision making in intervention studies in adults with OA, from the perspective of patients, health professionals and researchers.

Materials and Methods

We followed the OMERACT Filter 2.0 (11) to develop a draft core domain set, which consisted of: (1) forming an OMERACT working group; (2) conducting a review of domains of shared decision making; and (3) obtaining the opinions of stakeholders using a modified nominal group process held at a session activity at the OMERACT 2014 meeting.

1. Forming an OMERACT working group

Individuals from stakeholder groups, including patient research partners (PRPs) with rheumatic conditions, health professionals and researchers, were invited to participate in the working group and in a session activity at the OMERACT 2014 meeting.

2. Review of domains of shared decision making

We started by using the most recently published theory analysis of shared decision making conceptual models (12) and identified more recent published shared decision making models. We grouped some of the key concepts of shared decision making into domains and developed a Draft Core Set Checklist of potential shared decision making domains (Table 1).

Table 1.

Checklist of core set of shared decision making domains presented to participants

Are the following elements present in the vignettes? Low SDM
vignette
High SDM
vignette
Identifying the decision
The decision to be made is pointed out.
Exchanging information
The treatment options are listed and their pros and cons explained
Clarifying patients’ views
The patients’ feelings about the pros and cons of the options are discussed
Deliberating
The pros and cons of the options are weighted and the feasibility of the options is considered
Making the decision
A decision is made or postponed
Putting into practice
The steps are arranged to put the decision into practice
Impact of the decision
Comments

3. Stakeholders’ opinions

The opinions of stakeholders on the Draft Core Set of shared decision making domains to be measured and other potential domains were explored using a modified nominal group process held at a session activity at the OMERACT 2014 meeting. To help participants to identify domains, two clinical vignettes with contrasting levels of shared decision making (Data supplements) were developed and assessed using the Draft Core Set Checklist of potential shared decision making domains identified from the literature.

(1) Development of clinical vignettes

Based on methods proposed by members of the group (13), the working group developed two clinical vignettes featuring a rheumatology consultation of a patient with OA who is considering non-steroidal anti-inflammatory drugs for pain management. One vignette (High shared decision making) used the optimal shared decision making approach, and the other used a low amount of shared decision making (Low shared decision making), as confirmed by their appraisal using valid and reliable instruments: the Brief Decision Support Analysis Tool (DSAT-10) (14; 15) and the Observing Patient Involvement in Decision Making (OPTION) (16) scales. Three PRPs and five experts in rheumatology and shared decision making revised the vignettes to ensure content validity and clarity. The High shared decision making vignette was slightly longer than the Low shared decision making vignette, which is a limitation considering that there is no clear impact on the duration of consultation when shared decision making is implemented in practice.

(2) Conduct of a modified nominal group process

Individuals from stakeholder groups were invited to participate in the modified nominal group process led by members of the working group at the session activity at the OMERACT 2014 meeting. The vignettes were performed as skits. Then, in pairs, participants were asked to identify differences between the vignettes using the Draft Core Set of Domains Checklist. Each participant was asked, on three consecutive occasions, to suggest domains in the checklist or any additional domains that he or she found important to assess. These domains were displayed and participants were given 10 stickers to attribute to the various domains (from the core set and suggested new domains). The colour of the stickers differed between PRPs and health professionals/researchers.

Results

1. Composition of the OMERACT working group

The working group included 28 individuals from the stakeholder groups, including nine PRPs with rheumatic conditions and 19 health professionals and researchers from Europe, North America and Australia. Health professionals involved in the working group were rheumatologists, family practitioners, nurses and rehabilitation professionals. Researchers were health professionals/researchers in the field of shared decision making, knowledge transfer, systematic reviews, instrument and intervention development and epidemiology. 26 stakeholders participated in the session activity, of which five were PRPs, and 21 were rheumatology health professionals and/or researchers from Europe, North America and Australia.

2. Review of domains of shared decision making

A theory analysis of shared decision making conceptual models (12) that synthesized domains of shared decision making according to three systematic reviews (6; 17; 18), showed that, out of 15 shared decision making conceptual models, two included patients in their development process (19; 20), but none included rheumatology patients in their development and testing. We also identified a more recently published interprofessional shared decision making model (21).

The initial Draft Core Set Checklist of potential shared decision making domains to be measured was identified from the literature (Table 1): (1) identifying the decision; (2) exchanging information; (3) clarifying patients’ views; (4) deliberating; (5) making the decision; (6) putting the decision into practice; and (7) assessing the impact of the decision. Domains (1) to (6) represent the shared decision making process, and domain (7) includes shared decision making outcomes.

3. Stakeholders’ opinions

Participants in the session activity identified domains that can be classified in the following core areas of the OMERACT Filter 2.0: Pathophysiology (called ‘process’ here), as well as Life Impact and Resource Use (called ‘outcomes’ or ‘impact’ here). Other suggested concepts are contextual factors. The most important domains, according to the stakeholders, were exchanging information, clarifying views, assessing the impact of the decision and deliberating (see Table 2). Exchange of information included sub-domains of presentation of unbiased evidence-based information on the risks and benefits of options, as well as uncertainties, in a format and language patients understand. The clarification of patients’ understanding was another important element. For the clarification of views, patients’ values and expectations were rated as important mostly by PRPs. However, health professionals/researchers also suggested the importance of considering their own views. The impact of the decision had several sub-domains suggested, such as patient health outcomes, adequate knowledge and informed consent, trust in the health care system, and time and resources used. The deliberation process included sub-domains such as weighting the benefit/risk ratio for the options, as well as considering whether treatments are feasible and “fit into the patients’ lives”. Identifying the decision, making the decision and putting the decision into practice received fewer votes. The resulting Draft Core Set of domains for measuring shared decision making is as follows: (1) identifying the decision; (2) exchanging information; (3) clarifying views; (4) deliberating; (5) making the decision; (6) putting the decision into practice; and (7) assessing the impact of the decision.

Table 2.

Sub-domains of shared decision making with their number of votes

Domains and sub-domains Number of votes (10 per person)

Patient
Research
Partners:
N=5
(Weighted
opinion)*
Health
professionals/
Researchers:
N=21
(Weighted
opinion)*
Total,
N=26
(Weighted
pinion)*

Exchanging information 13 (26%) 52 (25%) 65 (25%)

- General domain 6 (12%) 12 (6%) 18 (7%)
  - Presenting the evidence for the risks and benefits of options and uncertainties in an unbiased manner 0 (0%) 18 (9%) 18 (7%)
  - Tailoring the information (format and language patients understand) 4 (8%) 15 (7%) 19 (7%)
  - Clarifying patient understanding 3 (6%) 7 (3%) 10 (4%)

Clarifying views 13 (26%) 35 (17%) 48 (18%)

- General domain 6 (12%) 12 (6%) 18 (7%)
  - Clarify patients’ values 4 (8%) 6 (3%) 10 (4%)
  - Clarify patients’ expectations regarding the courses of action 3 (6%) 7 (3%) 10 (4%)
  - Clarify health practitioners’ views (global assessment of the patient) 0 (0%) 10 (5%) 10 (4%)

Assessing the impact of the decision 7 (14%) 39 (19%) 46 (18%)

- General domain 1 (2%) 10 (5%) 11 (4%)
  - Patient satisfaction, comfort with decision 1 (2%) 4 (2%) 5 (2%)
  - Patient informed consent, understanding of information 2 (4%) 12 (6%) 14 (5%)
  - Health outcomes 1 (2%) 4 (2%) 5 (2%)
  - Trust in healthcare system 0 (0%) 4 (2%) 4 (2%)
  - Health practitioner’s liability 1 (2%) 1 (0%) 2 (1%)
  - Time and resources needed 1 (2%) 4 (2%) 5 (2%)

Deliberating 6 (12%) 27 (13%) 33 (13%)

- General domain 1 (2%) 8 (4%) 9 (3%)
  - Consider the benefit/risk ratio of the options 3 (6%) 11 (5%) 14 (5%)
  - Consider the feasibility of the options 2 (4%) 8 (4%) 10 (4%)

Identifying the decision 2 (4%) 9 (4%) 11 (4%)

Making the decision 0 (0%) 6 (3%) 6 (2%)

Putting the decision into practice 0 (0%) 4 (2%) 4 (2%)

- General domain 0 (0%) 4 (2%) 4 (2%)
  - Prepare plans for implementation and follow-up 0 (0%) 0 (0%) 0 (0%)
*

Analyzed as the number of votes/(participants*10)

Participants also suggested contextual factors that should be measured including general features of the setting, and characteristics of the people involved in the decision that may influence the shared decision making process (Table 3). The most important were the establishment of a partnership between patients and health professionals. Health professionals’ assertiveness was important to health professionals/researchers, while consideration of the patient’s socio demographic characteristics and social support was important to PRPs.

Table 3.

Contextual factors of shared decision making with their number of votes

Contextual factors Number of votes (10 per person)

Patient
Research
Partners
N=5
(Weighted
opinion)*
Health
professionals/
researchers
N=21
(Weighted
opinion)*
Total
N=26
(Weighted
opinion)*

Establishing partnership and mutual respect 4 (8%) 28 (13%) 32 (12%)

- General domain 1 (2%) 4 (2%) 5 (2%)
  - Health professionals’ empathy and desire to let patients speak (by using open-ended questions, empathetic non-verbal language) 2 (4%) 22 (10%) 24 (9%)
  - No time pressure 1 (2%) 0 (0%) 1 (0%)
  - Patients’ ability to speak their mind 0 (0%) 2 (1%) 2 (1%)

Considering patient socio demographic context and social support 4 (8%) 4 (2%) 8 (3%)

Health professional’s assertiveness 1 (2%) 6 (3%) 7 (3%)

Educational material and decision aids 0 (0%) 0 (0%) 0 (0%)

Total 9 (18%) 38 (18%) 47 (18%)
*

Analyzed as the number of votes/(participants*10)

Discussion

This working group, which included an interdisciplinary group of patients, health professionals and researchers, successfully developed the Draft Core Set of domains for measuring shared decision making in intervention studies in adults with OA. More specifically, most domains identified in the literature were endorsed by this working group, but there was variation in the degree of support for each one. The domains rated as important across groups were exchanging information, clarifying views, assessing the impact of the decision and deliberating, which was consistent with key concepts found in a systematic review of shared decision making domains (6) and in the 2010 theory analysis of shared decision making conceptual models (12). These domains were also included in the more recent interprofessional shared decision making model (21). Overall, our results led us to make four main observations.

First, all participant PRPs, health professionals and researchers found the exchange of information to be the most important domain, which may be explained by the desire for/interest in knowledge translation of evidence among the public and scientific community, and reflected in the number of suggested sub-domains. Clarifying patients’ values and expectations was identified as important, mostly by PRPs, while health professionals felt that their own views were also important, as identified in other shared decision making conceptual models (6; 12). This is congruent with the call for ending the misdiagnosis of preferences (22), which argues that clinicians who do not assess patients’ values and preferences may recommend inappropriate treatments, as if they were making a mistake in their diagnosis of the disease. Shared decision making relies on both evidence sharing and diagnosing of preferences.

Second, assessing the impact of the decision was found to be more important by health professionals/researchers than PRPs, and focused on patient and system-level outcomes, but did not include other outcomes suggested in the literature such as adherence to the chosen option or agreement between patients and health professionals. Deliberating included sub-domains that took into account the knowledge of the options, as well as individuals’ views, characteristics and context.

Third, identifying the decision, making the decision and putting the decision into practice may have received fewer votes because these steps are often assumed and/or overlooked (12), although they were shown to be important in other studies (21;23).

Finally, contextual factors are emphasized in OMERACT Filter 2.0 and are especially important when assessing behavioural interventions. This was shown by the importance placed on assessing partnership between health professionals and patients, patients’ own individual characteristics and context, as well as health professionals’ perception of responsibilities and obligations to their patients, which were found in other shared decision making models (12).

Next steps will be to develop a Workshop at OMERACT 2016 to reach consensus on these proposed domains in the wider OMERACT group, as well as detail sub-domains and assess instruments to develop a Core Outcome Measurement Set.

Supplementary Material

Suppl

Acknowledgements

The authors would like to thank the participants of the OMERACT 2014 meeting who participated in the working group on shared decision making. We would also like to thank members of the working group: Sarah Collins, Pam Montie, Thomas Chong, Pam Richards, Ailsa Bosworth, and Nick Bansback.

Funding:

Jennifer Barton received funding from the American College of Rheumatology and the Rheumatology Research Foundation. Research reported in this publication was supported in part by the National Institute of Arthritis and Musculoskeletal and Skin Diseases, part of the National Institutes of Health, under Award Number AR060231-01 awarded to Liana Fraenkel. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Francis Guillemin was supported by the Mission recherche de la Direction de la recherche, des études, de l’évaluation et des statistiques (MiRe-DREES) as part of financial support provided to IReSP in the domain of handicap and loss of autonomy. Dawn Stacey holds a University of Ottawa Research Chair in Knowledge Translation to Patients. France Légaré holds a Canada Research Chair in Implementation of Shared Decision Making in Primary Care. Conference attendance for Anne Lyddiatt, a patient research partner, was made possible by The Arthritis Society, Canada. Robin Christensen is supported by grants from the Oak Foundation.

Footnotes

Financial conflict: There is no financial conflict.

Contributor Information

Karine Toupin April, Email: ktoupin@cheo.on.ca, Children’s Hospital of Eastern Ontario Research Institute, Assistant Professor, Department of Pediatrics, University of Ottawa, Ottawa, Canada.

Jennifer Barton, Email: Jennifer.Barton@va.gov, VA Portland Health Care System, Assistant Professor, Oregon Health & Science University, Portland, OR, United States.

Liana Fraenkel, Email: liana.fraenkel@yale.edu, Department of Internal Medicine, Yale University, New Haven, United States.

Linda Li, Email: lli@arthritisresearch.ca, Department of Physical Therapy, University of British Columbia; Senior Scientist, Arthritis Research Centre of Canada, Vancouver, Canada.

Viviane Grandpierre, Email: vgrandpierre@cheo.on.ca, School of Rehabilitation Sciences, University of Ottawa, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Canada.

Francis Guillemin, Email: francis.guillemin@univ-lorraine.fr, Rheumatic Diseases, University of Lorraine, Nancy, France.

Tamara Rader, Email: trader@uottawa.ca, Institute of Population Health, Trials Search Coordinator & Knowledge Translation Specialist, University of Ottawa, Ottawa, Canada.

Dawn Stacey, Email: Dawn.Stacey@uOttawa.ca, School of Nursing, University of Ottawa, Ottawa, Canada.

France Légaré, Email: France.Legare@mfa.ulaval.ca, Department of Family Medicine and Emergency Medicine, Université Laval, Québec City, Canada.

Janet Jull, Email: jjull013@uottawa.ca, Institute of Population Health, Centre for Global Health, University of Ottawa, Canada, Bruyere Research Institute, University of Ottawa, Ottawa, Canada.

Jennifer Petkovic, Email: jennifer.petkovic@uottawa.ca, Institute of Population Health, Centre for Global Health, University of Ottawa, Canada.

Marieke Scholte Voshaar, Email: marieke_scholte@hotmail.com, University of Twente, Enschede, The Netherlands.

Vivian Welch, Email: vivian.welch@uottawa.ca, Institute of Population Health, Centre for Global Health, University of Ottawa, Canada, Bruyere Research Institute, University of Ottawa, Ottawa, Canada.

Anne Lyddiatt, Email: alyddiatt@primus.ca, Patient Research Partner, Canada.

Cathie Hofstetter, Email: mcfence@on.aibn.com, Patient Research Partner, Canada.

Maarten De Wit, Email: martinusdewit@hotmail.com, VU Medical Centre, Amsterdam, The Netherlands.

Lyn March, Email: lynmar@med.usyd.edu.au, Department of Medicine, University of Sydney, Institute of Bone and Joint Research, Sydney, Australia.

Tanya Meade, Email: T.Meade@uws.edu.au, University of Sydney, Sydney, Australia, University of Western Sydney, Sydney, Australia.

Robin Christensen, Email: Robin.Christensen@frh.regionh.dk, Senior Biostatistician, Musculoskeletal Statistics Unit, The Parker Institute, Department of Rheumatology, University of Copenhagen, Bispebjerg and Frederiksberg Hospitals, Denmark.

Cécile Gaujoux-Viala, Email: cecile.gaujoux.viala@chu-nimes.fr, Department of Rheumatology, Nîmes University Hospital, Montpellier I University, Nîmes, France.

Maria E. Suarez-Almazor, Email: msalmazor@mdanderson.org, Department of General Internal Medicine, Section of Rheumatology & Clinical Immunology, University of Texas MD Anderson Cancer Center, Houston, United States.

Annelies Boonen, Email: a.boonen@mumc.nl, Division Head, Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center and Caphri Research Institute, Maastricht University, Maastricht, The Netherlands.

Christoph Pohl, Email: christoph.pohl222@googlemail.com, Department of Internal Medicine II Rheumatology, Clinical Immunology, Osteology, Physical Therapy and Sports Medicine, Schlosspark-Klinik, Teaching Hospital of the Charité, University Medicine, Berlin, Germany.

Richard Martin, Email: martin@mi-arthritis.com, Rheumatology, Michigan State University, College of Human Medicine Grand Rapids, East Lansing, United States.

Peter Tugwell, Email: tugwell.bb@uottawa.ca, Department of Medicine, Faculty of Medicine, University of Ottawa, Senior Scientist, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Department of Epidemiology and Community Medicine, Faculty of Medicine, University of Ottawa, Institute of Population Health, Centre for Global Health, University of Ottawa, Ottawa, Canada.

Reference List

  • 1.Hochberg M, Altman R, Toupin April K, Benkhalti K, Guyatt G, Maxwell L, et al. American College of Rheumatology 2012 recommendations for the use of nonpharmacologic and pharmacologic therapies in osteoarthritis of the hand, hip and knee. Arthritis Care Res (Hoboken) 2012;64:465–474. doi: 10.1002/acr.21596. [DOI] [PubMed] [Google Scholar]
  • 2.Smolen JS, Aletaha D, Bijlsma JWJ, Breedveld FC, Boumpas D, Burmester G, et al. Treating rheumatoid arthritis to target: recommendations of an international task force. Ann Rheum Dis. 2010;69:631–637. doi: 10.1136/ard.2009.123919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.The Royal Australian College of General Practitioners. Clinical guideline for the diagnosis and management of juvenile idiopathic arthritis. South Melbourne: The Royal Australian College of General Practitioners. 2009 Available from: http://http://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/cp119-juvenile-arthritis.pdf.
  • 4.Smolen JS, Landewé R, Breedveld FC, Buch M, Burmester G, Dougados M, et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2013 update. Ann Rheum Dis. 2014;73:492–509. doi: 10.1136/annrheumdis-2013-204573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Gossec L, Smolen JS, Gaujoux-Viala C, Ash Z, Marzo-Ortega H, van der Heijde D, et al. European League Against Rheumatism. European League Against Rheumatism recommendations for the management of psoriatic arthritis with pharmacological therapies. Ann Rheum Dis. 2012;71:4–12. doi: 10.1136/annrheumdis-2011-200350. [DOI] [PubMed] [Google Scholar]
  • 6.Makoul G, Clayman ML. An integrative model of shared decision making in medical encounters. Patient Educ Couns. 2006;60:301–312. doi: 10.1016/j.pec.2005.06.010. [DOI] [PubMed] [Google Scholar]
  • 7.Légaré F, Thompson-Leduc P. Twelve myths about shared decision making, Patient Education and Counseling. 2014 doi: 10.1016/j.pec.2014.06.014. http://dx.doi.org/10.1016/j.pec.2014.06.014. [DOI] [PubMed] [Google Scholar]
  • 8.Légaré F, Ratte S, Stacey D, Kryworuchko J, Gravel K, Graham ID, et al. Interventions for improving the adoption of shared decision making by healthcare professionals. Cochrane Database of Systematic Reviews. 2014;(9) doi: 10.1002/14651858.CD006732.pub2. [DOI] [PubMed] [Google Scholar]
  • 9.Stacey D, Légaré F, Col NF, Bennett CL, Barry MJ, Eden KB, Holmes-Rovner M, Llewellyn-Thomas H, Lyddiatt A, Thomson R, Trevena L, Wu JH. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2014 Jan 28;1:CD001431. doi: 10.1002/14651858.CD001431.pub4. [DOI] [PubMed] [Google Scholar]
  • 10.Guerrier M, Legare F, Turcotte S, Labrecque M, Rivest LP. Shared decision making does not influence physicians against clinical practice guidelines. PLoS One. 2013;8:e62537. doi: 10.1371/journal.pone.0062537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Boers M, Kirwan JR, Wells G, Beaton D, Gossec L, d’Agostino MA, et al. Developing core outcome measurement sets for clinical trials: OMERACT Filter 2.0. J Clin Epidemiol. 2014;67:745–753. doi: 10.1016/j.jclinepi.2013.11.013. [DOI] [PubMed] [Google Scholar]
  • 12.Stacey D, Légaré F, Pouliot S, Kryworuchko J, Dunn S. Shared decision making models to inform and interprofessional perspective on decision making: a theory analysis. Patient Educ Couns. 2010;80:164–172. doi: 10.1016/j.pec.2009.10.015. [DOI] [PubMed] [Google Scholar]
  • 13.Stacey D, Brière N, Robitaille H, Fraser K, Desroches S, Légaré F. A systematic process for creating and appraising clinical vignettes to illustrate interprofessional shared decision making. J Interprof Care. 2014;28:453–459. doi: 10.3109/13561820.2014.911157. [DOI] [PubMed] [Google Scholar]
  • 14.Guimond P, Bunn H, O'Connor AM, Jacobsen MJ, Tait VK, Drake ER, et al. Validation of a tool to assess health practitioners' decision support and communication skills. Patient Educ Couns. 2003;50:235–245. doi: 10.1016/s0738-3991(03)00043-0. [DOI] [PubMed] [Google Scholar]
  • 15.Stacey D, Taljaard M, Drake ER, O'Connor AM. Audit and feedback using the brief Decision Support Analysis Tool (DSAT-10) to evaluate nurse standardized patient encounters. Patient Educ Couns. 2008;73:519–525. doi: 10.1016/j.pec.2008.07.016. [DOI] [PubMed] [Google Scholar]
  • 16.Elwyn G, Edwards A, Wensing M, Hood K, Atwell C, Grol R. Shared decision making: developing the OPTION scale for measuring patient involvement. Qual Saf Health Care. 2003;12:93–99. doi: 10.1136/qhc.12.2.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Moumjid N, Gafni A, Bremond A, Carrere MO. Shared decision making in the medical encounter: are we all talking about the same thing? Med Decis Making. 2007;27:539–546. doi: 10.1177/0272989X07306779. [DOI] [PubMed] [Google Scholar]
  • 18.Briss P, Rimer B, Reilley B, Coates RC, Lee NC, Mullen P, et al. Task Force on Community Preventive Services. Promoting informed decisions about cancer screening in communities and healthcare systems. Am J Prev Med. 2004;26:67–80. doi: 10.1016/j.amepre.2003.09.012. [DOI] [PubMed] [Google Scholar]
  • 19.Vandevusse L. Decision making in analyses of women’s birth stories. Birth. 1999;26:43–50. doi: 10.1046/j.1523-536x.1999.00043.x. [DOI] [PubMed] [Google Scholar]
  • 20.Towle A, Godolphin W. Framework for teaching and learning informed shared decision making. Brit Med J. 1999;319:766–771. doi: 10.1136/bmj.319.7212.766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Légaré F, Stacey D, Gagnon S, Dunn S, Pluye P, Frosch D, et al. Validating a conceptual model for an inter-professional approach to shared decision making: a mixed methods study. J Eval Clin Pract. 2011;17:554–564. doi: 10.1111/j.1365-2753.2010.01515.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Mulley AG, Trimble C, Elwyn G. Stop the silent misdiagnosis: patients’ preferences matter. Brit Med J. 2012;345:e6572. doi: 10.1136/bmj.e6572. [DOI] [PubMed] [Google Scholar]
  • 23.Elwyn G, Miron-Shatz T. Deliberation before determination: the definition and evaluation of good decision making. Health Expect. 2009;13:139–147. doi: 10.1111/j.1369-7625.2009.00572.x. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Suppl

RESOURCES