TY - JOUR
T1 - Decisional Conflict Scale Findings among Patients and Surrogates Making Health Decisions
T2 - Part II of an Anniversary Review
AU - Garvelink, Mirjam M.
AU - Boland, Laura
AU - Klein, Krystal
AU - Nguyen, Don Vu
AU - Menear, Matthew
AU - Bekker, Hilary L.
AU - Eden, Karen B.
AU - LeBlanc, Annie
AU - O’Connor, Annette M.
AU - Stacey, Dawn
AU - Légaré, France
N1 - Funding Information:
Centre de recherche sur les soins et les services de première ligne de l’Université Laval (CERSSPL-UL), Centre intégré universitaire de santé et services sociaux (CIUSSS) de la Capitale-Nationale, Quebec, QC, Canada (MMG, DVN, MM, FL); Faculty of Health Science, University of Ottawa, Ottawa, ON, Canada (LB, AMO, DS); Cambia Health Solutions, Portland, OR, USA (KK); Department of Family Medicine and Emergency Medicine, Université Laval, Quebec, QC, Canada (MM, AL, FL); Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK (HLB); Pacific Northwest Evidence-Based Practice Center, Oregon Health & Science University (OHSU) Department of Medical Informatics & Clinical Epidemiology, Portland, OR, USA (KBE); and Ottawa Hospital Research Institute, Ottawa, ON, Canada (DS). The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Financial support for this study was provided in part by a grant from the Tier 1 Canada Research Chair in Shared Decision-Making and Knowledge Translation at Université Laval and a postdoctoral fellowship from the Canadian Institutes of Health Research (CIHR), funding reference number MFE-140842. Registration number: CRD42014013556.
Publisher Copyright:
© The Author(s) 2019.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Background. We explored decisional conflict as measured with the 16-item Decisional Conflict Scale (DCS) and how it varies across clinical situations, decision types, and exposure to decision support interventions (DESIs). Methods. An exhaustive scoping review was conducted using backward citation searches and keyword searches. Eligible studies were published between 1995 and March 2015, used an original experimental/observational research design, concerned a health-related decision, and provided DCS data. Dyads independently screened titles/abstracts and full texts, and extracted data. We performed narrative syntheses and calculated average or median DCS scores. Results. We included 246 articles reporting on 253 studies. DCS scores ranged from 2.4 to 89.6 out of 100. Highest baseline DCS scores were for care planning (30.5 ± 12.8, median = 30.9) and treatment decisions (30.5 ± 14.6, median = 28.0), in contexts of primary care (33.8 ± 19.8), obstetrics/gynecology (28.8 ± 10.4), and geriatrics (32.6 ± 10.7). Baseline scores were high among decision makers who were ill (29.5 ± 13.8, median = 27.2) or making decisions for themselves (29.7 ± 14.8, median = 26.9). Total DCS scores <25 out of 100 were associated with implementing decisions. Without DESIs, DCS scores tended to increase shortly after decision making (>37.4). After DESI use, DCS scores decreased short-term but increased or remained the same long-term (>6 months). Conclusions. DCS scores were highest at baseline and decreased after decision making. DESIs decreased decisional conflict immediately after decision making. The largest improvements after DESIs were in decision makers who were ill, male, or made decisions for themselves. Meta-analyses focusing on decision types, contexts, and interventions could inform hypotheses about the expected effects of DESIs, the best timing for measurement, and interpretation of DCS scores.
AB - Background. We explored decisional conflict as measured with the 16-item Decisional Conflict Scale (DCS) and how it varies across clinical situations, decision types, and exposure to decision support interventions (DESIs). Methods. An exhaustive scoping review was conducted using backward citation searches and keyword searches. Eligible studies were published between 1995 and March 2015, used an original experimental/observational research design, concerned a health-related decision, and provided DCS data. Dyads independently screened titles/abstracts and full texts, and extracted data. We performed narrative syntheses and calculated average or median DCS scores. Results. We included 246 articles reporting on 253 studies. DCS scores ranged from 2.4 to 89.6 out of 100. Highest baseline DCS scores were for care planning (30.5 ± 12.8, median = 30.9) and treatment decisions (30.5 ± 14.6, median = 28.0), in contexts of primary care (33.8 ± 19.8), obstetrics/gynecology (28.8 ± 10.4), and geriatrics (32.6 ± 10.7). Baseline scores were high among decision makers who were ill (29.5 ± 13.8, median = 27.2) or making decisions for themselves (29.7 ± 14.8, median = 26.9). Total DCS scores <25 out of 100 were associated with implementing decisions. Without DESIs, DCS scores tended to increase shortly after decision making (>37.4). After DESI use, DCS scores decreased short-term but increased or remained the same long-term (>6 months). Conclusions. DCS scores were highest at baseline and decreased after decision making. DESIs decreased decisional conflict immediately after decision making. The largest improvements after DESIs were in decision makers who were ill, male, or made decisions for themselves. Meta-analyses focusing on decision types, contexts, and interventions could inform hypotheses about the expected effects of DESIs, the best timing for measurement, and interpretation of DCS scores.
KW - Decisional Conflict Scale
KW - Shared Decision Making
KW - decisional conflict
KW - measurement
KW - scoping review
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U2 - 10.1177/0272989X19851346
DO - 10.1177/0272989X19851346
M3 - Review article
C2 - 31142205
AN - SCOPUS:85066822287
SN - 0272-989X
VL - 39
SP - 315
EP - 326
JO - Medical decision making : an international journal of the Society for Medical Decision Making
JF - Medical decision making : an international journal of the Society for Medical Decision Making
IS - 4
ER -