Decisional Conflict Scale Findings among Patients and Surrogates Making Health Decisions: Part II of an Anniversary Review

Author:

Garvelink Mirjam M.1ORCID,Boland Laura2,Klein Krystal3,Nguyen Don Vu1,Menear Matthew14,Bekker Hilary L.5,Eden Karen B.6,LeBlanc Annie4,O’Connor Annette M.2,Stacey Dawn27ORCID,Légaré France14

Affiliation:

1. 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

2. Faculty of Health Science, University of Ottawa, Ottawa, ON, Canada

3. Cambia Health Solutions, Portland, OR, USA

4. Department of Family Medicine and Emergency Medicine, Université Laval, Quebec, QC, Canada

5. Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK

6. Pacific Northwest Evidence-Based Practice Center, Oregon Health & Science University (OHSU) Department of Medical Informatics & Clinical Epidemiology, Portland, OR, USA

7. Ottawa Hospital Research Institute, Ottawa, ON, Canada

Abstract

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 79.7 out of 100. Highest baseline DCS scores were for care planning (44.8 ± 8.9, median = 47.0) and treatment decisions (32.5 ± 12.6, median = 31.9), in contexts of primary care (40.6 ± 18.3), and geriatrics (39.8 ± 11.2). Baseline scores were high among decision makers who were ill (33.2 ± 14.1, median = 30.2) or making decisions for themselves (33.4 ± 13.8, median = 32.0). 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 or made decisions for themselves. Further meta-analyses are needed for decision type, contexts, and interventions to inform hypotheses about the expected effects of DESIs, the best timing for measurement, and interpretation of DCS scores.

Funder

Institute of Health Services and Policy Research

Tier 1 Canada Research Chair in Shared Decision-making and Knowledge Translation at Université Laval

Publisher

SAGE Publications

Subject

Health Policy

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