Skip to main content
Top
Published in: BMC Medical Informatics and Decision Making 1/2019

Open Access 01-12-2019 | Care | Research article

Beyond pros and cons – developing a patient decision aid to cultivate dialog to build relationships: insights from a qualitative study and decision aid development

Authors: Catherine H. Yu, Calvin Ke, Aleksandra Jovicic, Susan Hall, Sharon E. Straus, on behalf of the IP-SDM Team;

Published in: BMC Medical Informatics and Decision Making | Issue 1/2019

Login to get access

Abstract

Background

An individualized approach using shared decision-making (SDM) and goal setting is a person-centred strategy that may facilitate prioritization of treatment options. SDM has not been adopted extensively in clinical practice. An interprofessional approach to SDM with tools to facilitate patient participation may overcome barriers to SDM use. The aim was to explore decision-making experiences of health professionals and people with diabetes (PwD), then develop an intervention to facilitate interprofessional shared decision-making (IP-SDM) and goal-setting.

Methods

This was a multi-phased study. 1) Feasibility: Using a descriptive qualitative study, individual interviews with primary care physicians, nurses, dietitians, pharmacists, and PwD were conducted. The interviews explored their experiences with SDM and priority-setting, including facilitators and barriers, relevance of a decision aid for priority-setting, and integration of SDM and a decision aid into practice. 2) Development: An evidence-based SDM toolkit was developed, consisting of an online decision aid, MyDiabetesPlan, and implementation tools. MyDiabetesPlan was reviewed by content experts for accuracy and comprehensiveness. Usability assessment was done with 3) heuristic evaluation and 4) user testing, followed by 5) refinement.

Results

Seven PwD and 10 clinicians participated in the interviews. From interviews with PwD, we identified that: (1) approaches to decision-making were diverse and dynamic; (2) a trusting relationship with the clinician and dialog were critical precursors to SDM; and, (3) goal-setting was a dynamic process. From clinicians, we found: (1) complementary (holistic and disease specific) approaches to the complex patient were used; (2) patient-provider agendas for goal-setting were often conflicting; (3) a flexible approach to decision-making was needed; and, (4) conflict could be resolved through SDM. Following usability assessment, we redesigned MyDiabetesPlan to consist of data collection and recommendation stages. Findings were used to finalize a multi-component toolkit and implementation strategy, consisting of MyDiabetesPlan, instructional card and videos, and orientation meetings with participating patients and clinicians.

Conclusions

A decision aid can provide information, facilitate clinician-patient dialog and strengthen the therapeutic relationship. Implementation of the decision aid can fit into a model of team care that respects and exemplifies professional identity, and can facilitate intra-team communication.

Trial registration

Clinicaltrials.​gov Identifier: NCT02379078. Date of Registration: 11 February 2015.
Appendix
Available only for authorised users
Literature
1.
go back to reference Montori VM, Gafni A, Charles C. A shared treatment decision-making approach between patients with chronic conditions and their clinicians: the case of diabetes. Health Expect. 2006;9:25–36.CrossRef Montori VM, Gafni A, Charles C. A shared treatment decision-making approach between patients with chronic conditions and their clinicians: the case of diabetes. Health Expect. 2006;9:25–36.CrossRef
2.
go back to reference Serrano V, Rodriguez-Gutierrez R, Hargraves I, Gionfriddo MR, Tamhane S, Montori VM. Shared decision-making in the care of individuals with diabetes. Diabet Med. 2016;33(6):742–51.CrossRef Serrano V, Rodriguez-Gutierrez R, Hargraves I, Gionfriddo MR, Tamhane S, Montori VM. Shared decision-making in the care of individuals with diabetes. Diabet Med. 2016;33(6):742–51.CrossRef
3.
go back to reference Charles C, Gafni A, Whelan T. Decision-making in the physician-patient encounter: revisiting the shared treatment decision-making model. Soc Sci Med. 1999;49(5):651–61.CrossRef Charles C, Gafni A, Whelan T. Decision-making in the physician-patient encounter: revisiting the shared treatment decision-making model. Soc Sci Med. 1999;49(5):651–61.CrossRef
4.
go back to reference Joosten EA, DeFuentes-Merillas L, de Weert GH, Sensky T, van der Staak CP, de Jong CA. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom. 2008;77:219–26.CrossRef Joosten EA, DeFuentes-Merillas L, de Weert GH, Sensky T, van der Staak CP, de Jong CA. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom. 2008;77:219–26.CrossRef
5.
go back to reference van Weert JC, van Munster BC, Sanders R, Spijker R, Hooft L, Jansen J. Decision aids to help older people make health decisions: a systematic review and meta-analysis. BMC Med Inform Decis Mak. 2016;16:45.CrossRef van Weert JC, van Munster BC, Sanders R, Spijker R, Hooft L, Jansen J. Decision aids to help older people make health decisions: a systematic review and meta-analysis. BMC Med Inform Decis Mak. 2016;16:45.CrossRef
6.
go back to reference Peek ME, Wilson SC, Gorawara-Bhat R, Odoms-Young A, Quinn MT, Chin MH. Barriers and facilitators to shared decision-making among African-Americans with diabetes. J Gen Intern Med. 2009;24(10):1135–9.CrossRef Peek ME, Wilson SC, Gorawara-Bhat R, Odoms-Young A, Quinn MT, Chin MH. Barriers and facilitators to shared decision-making among African-Americans with diabetes. J Gen Intern Med. 2009;24(10):1135–9.CrossRef
7.
go back to reference D'Amour D, Oandasan I. Interprofessionality as the field of interprofessional practice and interprofessional education: an emerging concept. J Interprof Care. 2005;19(Suppl 1):8–20.CrossRef D'Amour D, Oandasan I. Interprofessionality as the field of interprofessional practice and interprofessional education: an emerging concept. J Interprof Care. 2005;19(Suppl 1):8–20.CrossRef
8.
go back to reference van Dam HA, van der Horst F, van den Borne B. Provider-patient interaction in diabetes care: effects on patient self-care and outcomes. A systematic review. Patient Educ Couns. 2003;51(1):17–28.CrossRef van Dam HA, van der Horst F, van den Borne B. Provider-patient interaction in diabetes care: effects on patient self-care and outcomes. A systematic review. Patient Educ Couns. 2003;51(1):17–28.CrossRef
9.
go back to reference Shojania KG, Ranjii SR, McDonald KM. Effects of quality improvement strategies for type 2 diabetes on glycemic control: a meta-regression analysis. JAMA. 2006;296(4):427–40.CrossRef Shojania KG, Ranjii SR, McDonald KM. Effects of quality improvement strategies for type 2 diabetes on glycemic control: a meta-regression analysis. JAMA. 2006;296(4):427–40.CrossRef
10.
go back to reference Tricco AC, Ivers NM, Grimshaw JM, Moher D, Turner L, Galipeau J, et al. Effectiveness of quality improvement strategies on the management of diabetes: a systematic review and meta-analysis. Lancet. 2012;379(9833):2252–61.CrossRef Tricco AC, Ivers NM, Grimshaw JM, Moher D, Turner L, Galipeau J, et al. Effectiveness of quality improvement strategies on the management of diabetes: a systematic review and meta-analysis. Lancet. 2012;379(9833):2252–61.CrossRef
11.
go back to reference MacGregor K, Handley M, Wong S, Sharifi C, Gjeltema K, Schillinger D, et al. Behavior-change action plans in primary care: a feasibility study of clinicians. J Am Board Fam Med. 2006;19(3):215–23.CrossRef MacGregor K, Handley M, Wong S, Sharifi C, Gjeltema K, Schillinger D, et al. Behavior-change action plans in primary care: a feasibility study of clinicians. J Am Board Fam Med. 2006;19(3):215–23.CrossRef
12.
go back to reference Coyne I, O'Mathúna DP, Gibson F, Shields L, Sheaf G. Interventions for promoting participation in shared decision-making for children with cancer. Cochrane Libr. 2011;2. Coyne I, O'Mathúna DP, Gibson F, Shields L, Sheaf G. Interventions for promoting participation in shared decision-making for children with cancer. Cochrane Libr. 2011;2.
13.
go back to reference Duncan E, Best C, Hagen S. Shared decision making interventions for people with mental health conditions. Cochrane Database Syst Rev. 2010;1. Duncan E, Best C, Hagen S. Shared decision making interventions for people with mental health conditions. Cochrane Database Syst Rev. 2010;1.
14.
go back to reference Legare 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 Syst Rev. 2010;5. Legare 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 Syst Rev. 2010;5.
15.
go back to reference Corser W, Holmes-Rovner M, Lein C, Gossain V. Shared decision-making primary care intervention for type 2 diabetes. Diabetes Educ. 2007;33(4):700–8.CrossRef Corser W, Holmes-Rovner M, Lein C, Gossain V. Shared decision-making primary care intervention for type 2 diabetes. Diabetes Educ. 2007;33(4):700–8.CrossRef
16.
go back to reference Yu CH, Stacey D, Sale J, Hall S, Kaplan DM, Ivers N, et al. Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care--systematic decision aid development and study protocol. Implementat Sci. 2014;9:16.CrossRef Yu CH, Stacey D, Sale J, Hall S, Kaplan DM, Ivers N, et al. Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care--systematic decision aid development and study protocol. Implementat Sci. 2014;9:16.CrossRef
17.
go back to reference Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, et al. Lost in knowledge translation: time for a map? J Contin Educ Health Prof. 2006;26(1):13–24.CrossRef Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, et al. Lost in knowledge translation: time for a map? J Contin Educ Health Prof. 2006;26(1):13–24.CrossRef
18.
go back to reference Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337.
19.
go back to reference Kastner M, Straus SE. Application of the knowledge-to-action and Medical Research Council frameworks in the development of an osteoporosis clinical decision support tool. J Clin Epidemiol. 2012;65(11):1163–70.CrossRef Kastner M, Straus SE. Application of the knowledge-to-action and Medical Research Council frameworks in the development of an osteoporosis clinical decision support tool. J Clin Epidemiol. 2012;65(11):1163–70.CrossRef
20.
go back to reference Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–57.CrossRef Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–57.CrossRef
21.
go back to reference Elwyn G, O'Connor A, Stacey D, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333:417.CrossRef Elwyn G, O'Connor A, Stacey D, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333:417.CrossRef
22.
go back to reference Kvale S. InterViews: an introduction to qualitative research interviewing. Thousand Oaks CA: Sage Publications; 1996. Kvale S. InterViews: an introduction to qualitative research interviewing. Thousand Oaks CA: Sage Publications; 1996.
23.
go back to reference Marshall MN. Sampling for qualitative research. Fam Pract. 1996;13(6):522–6.CrossRef Marshall MN. Sampling for qualitative research. Fam Pract. 1996;13(6):522–6.CrossRef
24.
go back to reference Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual Saf Health Care. 2005;14(1):26–33.CrossRef Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual Saf Health Care. 2005;14(1):26–33.CrossRef
25.
go back to reference Cane J, O'Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012;7:37.CrossRef Cane J, O'Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012;7:37.CrossRef
26.
go back to reference Canadian Diabetes Association Clinical Practice Guidelines Expert Committee. Canadian Diabetes Association 2013 clinical practice guidelines for the prevention and Management of Diabetes in Canada. Can J Diabetes. 2013;37(suppl 1):S1–S212. Canadian Diabetes Association Clinical Practice Guidelines Expert Committee. Canadian Diabetes Association 2013 clinical practice guidelines for the prevention and Management of Diabetes in Canada. Can J Diabetes. 2013;37(suppl 1):S1–S212.
27.
go back to reference Reissman CK. Narrative analysis. Newbury Park CA: Sage Publications; 1993. Reissman CK. Narrative analysis. Newbury Park CA: Sage Publications; 1993.
28.
go back to reference Czarniawska B. Narratives in social science research. London: Sage Publications; 2004.CrossRef Czarniawska B. Narratives in social science research. London: Sage Publications; 2004.CrossRef
29.
go back to reference Elo S, Kyngäs H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107–15.CrossRef Elo S, Kyngäs H. The qualitative content analysis process. J Adv Nurs. 2008;62(1):107–15.CrossRef
30.
go back to reference Légaré F, Stacey D, Briere N, Desroches S, Dumont S, et al. A conceptual framework for interprofessional shared decision making in home care: protocol for a feasibility study. BMC Health Serv Res. 2011;11(1):23.CrossRef Légaré F, Stacey D, Briere N, Desroches S, Dumont S, et al. A conceptual framework for interprofessional shared decision making in home care: protocol for a feasibility study. BMC Health Serv Res. 2011;11(1):23.CrossRef
31.
go back to reference Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97(18):1837–47.CrossRef Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97(18):1837–47.CrossRef
32.
go back to reference D'Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, et al. General cardiovascular risk profile for use in primary care: the Framingham heart study. Circulation. 2008;117(6):743–53.CrossRef D'Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, et al. General cardiovascular risk profile for use in primary care: the Framingham heart study. Circulation. 2008;117(6):743–53.CrossRef
33.
go back to reference Stevens RJ, Kothari V, Adler AI, Stratton IM. The UKPDS risk engine: a model for the risk of coronary heart disease in Type II diabetes (UKPDS 56). Clin Sci (London, England : 1979). 2001;101(6):671–9.CrossRef Stevens RJ, Kothari V, Adler AI, Stratton IM. The UKPDS risk engine: a model for the risk of coronary heart disease in Type II diabetes (UKPDS 56). Clin Sci (London, England : 1979). 2001;101(6):671–9.CrossRef
34.
go back to reference Kothari V, Stevens RJ, Adler AI, Stratton IM, Manley SE, Neil HA, et al. UKPDS 60: risk of stroke in type 2 diabetes estimated by the UK prospective diabetes study risk engine. Stroke. 2002;33(7):1776–81.CrossRef Kothari V, Stevens RJ, Adler AI, Stratton IM, Manley SE, Neil HA, et al. UKPDS 60: risk of stroke in type 2 diabetes estimated by the UK prospective diabetes study risk engine. Stroke. 2002;33(7):1776–81.CrossRef
35.
go back to reference Tanaka S, Iimuro S, Yamashita H, Katayama S, Akanuma Y, Yamada N, et al. Predicting macro- and microvascular complications in type 2 diabetes: the Japan diabetes complications study/the Japanese elderly diabetes intervention trial risk engine. Diabetes Care. 2013;36(5):1193–9.CrossRef Tanaka S, Iimuro S, Yamashita H, Katayama S, Akanuma Y, Yamada N, et al. Predicting macro- and microvascular complications in type 2 diabetes: the Japan diabetes complications study/the Japanese elderly diabetes intervention trial risk engine. Diabetes Care. 2013;36(5):1193–9.CrossRef
36.
go back to reference Keane WF, Zhang Z, Lyle PA, Cooper ME, de Zeeuw D, Grunfeld JP, et al. Risk scores for predicting outcomes in patients with type 2 diabetes and nephropathy: the RENAAL study. Clin J Am Soc Nephrol. 2006;1(4):761–7.CrossRef Keane WF, Zhang Z, Lyle PA, Cooper ME, de Zeeuw D, Grunfeld JP, et al. Risk scores for predicting outcomes in patients with type 2 diabetes and nephropathy: the RENAAL study. Clin J Am Soc Nephrol. 2006;1(4):761–7.CrossRef
37.
go back to reference Tesfaye S, Chaturvedi N, Eaton SE, Ward JD, Manes C, Ionescu-Tirgoviste C, et al. Vascular risk factors and diabetic neuropathy. N Engl J Med. 2005;352(4):341–50.CrossRef Tesfaye S, Chaturvedi N, Eaton SE, Ward JD, Manes C, Ionescu-Tirgoviste C, et al. Vascular risk factors and diabetic neuropathy. N Engl J Med. 2005;352(4):341–50.CrossRef
38.
go back to reference Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359(15):1577–89.CrossRef Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359(15):1577–89.CrossRef
39.
go back to reference U.S Department of Health and Human Services. Applying Human Factors and Usability Engineering to Medical Devices: Guidance for Industry and Food and Drug Administration Staff. 2016:1–2,15. U.S Department of Health and Human Services. Applying Human Factors and Usability Engineering to Medical Devices: Guidance for Industry and Food and Drug Administration Staff. 2016:1–2,15.
40.
go back to reference Nielsen J. Enhancing the explanatory power of usability heuristics. Proc ACM CHI'94 Conf. 1994;Boston, MA, April 24–28:152–158. Nielsen J. Enhancing the explanatory power of usability heuristics. Proc ACM CHI'94 Conf. 1994;Boston, MA, April 24–28:152–158.
41.
go back to reference Kushniruk AW, Patel VL. Cognitive and usability engineering methods for the evaluation of clinical information systems. J Biomed Inform. 2004;37(1):56–76.CrossRef Kushniruk AW, Patel VL. Cognitive and usability engineering methods for the evaluation of clinical information systems. J Biomed Inform. 2004;37(1):56–76.CrossRef
42.
go back to reference Nielsen J. Usability Engineering. Cambridge, MA.: Academic Press Inc; 1993.CrossRef Nielsen J. Usability Engineering. Cambridge, MA.: Academic Press Inc; 1993.CrossRef
43.
go back to reference Elwyn G, Scholl I, Tietbohl C, Mann M, Edwards AG, Clay C, et al. “Many miles to go ...”: a systematic review of the implementation of patient decision support interventions into routine clinical practice. BMC Med Inform Decis Mak. 2013;13 Suppl 2:S14. Elwyn G, Scholl I, Tietbohl C, Mann M, Edwards AG, Clay C, et al. “Many miles to go ...”: a systematic review of the implementation of patient decision support interventions into routine clinical practice. BMC Med Inform Decis Mak. 2013;13 Suppl 2:S14.
44.
go back to reference Legare 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 Syst Rev. 2014;(9):Cd006732. Legare 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 Syst Rev. 2014;(9):Cd006732.
45.
go back to reference Makoul G, Clayman ML. An integrative model of shared decision making in medical encounters. Patient Educ Couns. 2006;60(3):301–12.CrossRef Makoul G, Clayman ML. An integrative model of shared decision making in medical encounters. Patient Educ Couns. 2006;60(3):301–12.CrossRef
46.
go back to reference Russell-Minda E, Jutai J, Strong G, Campbell K. An evidence-based review of the research on typeface legibility for readers with low vision. Clear Print. 2006. Russell-Minda E, Jutai J, Strong G, Campbell K. An evidence-based review of the research on typeface legibility for readers with low vision. Clear Print. 2006.
47.
48.
go back to reference Nelson KA. Consumer decision making and image theory: understanding value-laden decisions. JCP. 2004;14(1):28–40. Nelson KA. Consumer decision making and image theory: understanding value-laden decisions. JCP. 2004;14(1):28–40.
49.
go back to reference Beach L, Mitchell T. Image theory: principles, goals, and plans in decision making. Acta Psychol. 1987;66(3):201–20.CrossRef Beach L, Mitchell T. Image theory: principles, goals, and plans in decision making. Acta Psychol. 1987;66(3):201–20.CrossRef
50.
go back to reference Tamhane S, Rodriguez-Gutierrez R, Hargraves I, Montori VM. Shared decision-making in diabetes care. Curr Diab Rep. 2015;15(12):112.CrossRef Tamhane S, Rodriguez-Gutierrez R, Hargraves I, Montori VM. Shared decision-making in diabetes care. Curr Diab Rep. 2015;15(12):112.CrossRef
51.
go back to reference Karnieli-Miller O, Eisikovits Z. Physician as partner or salesman? Shared decision-making in real-time encounters. Soc Sci Med (1982). 2009;69(1):1–8.CrossRef Karnieli-Miller O, Eisikovits Z. Physician as partner or salesman? Shared decision-making in real-time encounters. Soc Sci Med (1982). 2009;69(1):1–8.CrossRef
52.
go back to reference Strull WM, Lo B, Charles G. Do patients want to participate in medical decision making? JAMA. 1984;252(21):2990–4.CrossRef Strull WM, Lo B, Charles G. Do patients want to participate in medical decision making? JAMA. 1984;252(21):2990–4.CrossRef
53.
go back to reference Chewning B, Bylund CL, Shah B, Arora NK, Gueguen JA, Makoul G. Patient preferences for shared decisions: a systematic review. Patient Educ Couns. 2012;86(1):9–18.CrossRef Chewning B, Bylund CL, Shah B, Arora NK, Gueguen JA, Makoul G. Patient preferences for shared decisions: a systematic review. Patient Educ Couns. 2012;86(1):9–18.CrossRef
54.
go back to reference Eliacin J, Salyers MP, Kukla M, Matthias MS. Factors influencing patients' preferences and perceived involvement in shared decision-making in mental health care. J Mental Health (Abingdon, England). 2015;24(1):24–8.CrossRef Eliacin J, Salyers MP, Kukla M, Matthias MS. Factors influencing patients' preferences and perceived involvement in shared decision-making in mental health care. J Mental Health (Abingdon, England). 2015;24(1):24–8.CrossRef
55.
go back to reference Stewart M. Towards a global definition of patient centred care: the patient should be the judge of patient centred care. BMJ. 2001;322(7284):444–5.CrossRef Stewart M. Towards a global definition of patient centred care: the patient should be the judge of patient centred care. BMJ. 2001;322(7284):444–5.CrossRef
Metadata
Title
Beyond pros and cons – developing a patient decision aid to cultivate dialog to build relationships: insights from a qualitative study and decision aid development
Authors
Catherine H. Yu
Calvin Ke
Aleksandra Jovicic
Susan Hall
Sharon E. Straus
on behalf of the IP-SDM Team;
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Care
Published in
BMC Medical Informatics and Decision Making / Issue 1/2019
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-019-0898-5

Other articles of this Issue 1/2019

BMC Medical Informatics and Decision Making 1/2019 Go to the issue