Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis.

decision making preference elicitation shared decision making values clarification

Journal

Medical decision making : an international journal of the Society for Medical Decision Making
ISSN: 1552-681X
Titre abrégé: Med Decis Making
Pays: United States
ID NLM: 8109073

Informations de publication

Date de publication:
10 2021
Historique:
entrez: 27 9 2021
pubmed: 28 9 2021
medline: 26 11 2021
Statut: ppublish

Résumé

Patient decision aids should help people make evidence-informed decisions aligned with their values. There is limited guidance about how to achieve such alignment. To describe the range of values clarification methods available to patient decision aid developers, synthesize evidence regarding their relative merits, and foster collection of evidence by offering researchers a proposed set of outcomes to report when evaluating the effects of values clarification methods. MEDLINE, EMBASE, PubMed, Web of Science, the Cochrane Library, and CINAHL. We included articles that described randomized trials of 1 or more explicit values clarification methods. From 30,648 records screened, we identified 33 articles describing trials of 43 values clarification methods. Two independent reviewers extracted details about each values clarification method and its evaluation. Compared to control conditions or to implicit values clarification methods, explicit values clarification methods decreased the frequency of values-incongruent choices (risk difference, -0.04; 95% confidence interval [CI], -0.06 to -0.02; Some meta-analyses had high heterogeneity. We grouped values clarification methods into broad categories. Current evidence suggests patient decision aids should include an explicit values clarification method. Developers may wish to specifically consider multicriteria decision analysis. Future evaluations of values clarification methods should report their effects on decisional conflict, decisions made, values congruence, and decisional regret.

Sections du résumé

BACKGROUND
Patient decision aids should help people make evidence-informed decisions aligned with their values. There is limited guidance about how to achieve such alignment.
PURPOSE
To describe the range of values clarification methods available to patient decision aid developers, synthesize evidence regarding their relative merits, and foster collection of evidence by offering researchers a proposed set of outcomes to report when evaluating the effects of values clarification methods.
DATA SOURCES
MEDLINE, EMBASE, PubMed, Web of Science, the Cochrane Library, and CINAHL.
STUDY SELECTION
We included articles that described randomized trials of 1 or more explicit values clarification methods. From 30,648 records screened, we identified 33 articles describing trials of 43 values clarification methods.
DATA EXTRACTION
Two independent reviewers extracted details about each values clarification method and its evaluation.
DATA SYNTHESIS
Compared to control conditions or to implicit values clarification methods, explicit values clarification methods decreased the frequency of values-incongruent choices (risk difference, -0.04; 95% confidence interval [CI], -0.06 to -0.02;
LIMITATIONS
Some meta-analyses had high heterogeneity. We grouped values clarification methods into broad categories.
CONCLUSIONS
Current evidence suggests patient decision aids should include an explicit values clarification method. Developers may wish to specifically consider multicriteria decision analysis. Future evaluations of values clarification methods should report their effects on decisional conflict, decisions made, values congruence, and decisional regret.

Identifiants

pubmed: 34565196
doi: 10.1177/0272989X211037946
pmc: PMC8482297
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

801-820

Subventions

Organisme : NHLBI NIH HHS
ID : K24 HL148314
Pays : United States
Organisme : CIHR
ID : FDN-148426
Pays : Canada

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Auteurs

Holly O Witteman (HO)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.
VITAM Research Centre, Quebec City, Quebec, Canada.
CHU de Québec Research Centre, Quebec City, Quebec, Canada.

Ruth Ndjaboue (R)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.
VITAM Research Centre, Quebec City, Quebec, Canada.

Gratianne Vaisson (G)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.
CHU de Québec Research Centre, Quebec City, Quebec, Canada.

Selma Chipenda Dansokho (SC)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.

Bob Arnold (B)

UPMC Palliative and Supportive Institute, Division of General Internal Medicine, Section of Palliative Care and Medical Ethics, University of Pittsburgh, Pittsburgh, PA, USA.

John F P Bridges (JFP)

Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, USA.

Sandrine Comeau (S)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.

Angela Fagerlin (A)

Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, UT, USA.

Teresa Gavaruzzi (T)

Department of Developmental Psychology and Socialization, University of Padova, Padova, Italy.

Melina Marcoux (M)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.

Arwen Pieterse (A)

Leiden University Medical Center, Leiden, The Netherlands.

Michael Pignone (M)

Departments of Internal Medicine and Population Health, Dell Medical School, University of Texas, Austin, TX, USA.

Thierry Provencher (T)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.

Charles Racine (C)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.

Dean Regier (D)

School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.

Charlotte Rochefort-Brihay (C)

Department of Family and Emergency Medicine, Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.

Praveen Thokala (P)

School of Health and Related Research, University of Sheffield, Sheffield, UK.

Marieke Weernink (M)

Municipal Health Services (GGD), Enschede, The Netherlands.

Douglas B White (DB)

Program on Ethics and Decision Making in Critical Illness, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Celia E Wills (CE)

College of Nursing, Center on Healthy Aging, Self-Management and Complex Care, The Ohio State University, Columbus, OH, USA.

Jesse Jansen (J)

Department of Family Medicine/CAPHRI, Maastricht University, Maastricht, The Netherlands.

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Classifications MeSH