Shared Decision-Making in Cardiovascular Risk Factor Management

Author:

Elias Sabrina1,Chen Yuling1,Liu Xiaoyue2,Slone Sarah1,Turkson-Ocran Ruth-Alma3,Ogungbe Bunmi1,Thomas Sabena4,Byiringiro Samuel1,Koirala Binu1,Asano Reiko5,Baptiste Diana-Lyn1,Mollenkopf Nicole L.1,Nmezi Nwakaego6,Commodore-Mensah Yvonne17,Himmelfarb Cheryl R. Dennison178

Affiliation:

1. Johns Hopkins School of Nursing, Baltimore, Maryland

2. New York University Rory Meyers College of Nursing, New York, New York

3. Division of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts

4. Adelphi University, Garden City, New York

5. Catholic University of America, Washington, DC

6. MedStar National Rehabilitation Hospital, Washington, DC

7. Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland

8. Johns Hopkins School of Medicine, Baltimore, Maryland

Abstract

ImportanceThe effect of shared decision-making (SDM) and the extent of its use in interventions to improve cardiovascular risk remain unclear.ObjectiveTo assess the extent to which SDM is used in interventions aimed to enhance the management of cardiovascular risk factors and to explore the association of SDM with decisional outcomes, cardiovascular risk factors, and health behaviors.Data SourcesFor this systematic review and meta-analysis, a literature search was conducted in the Medline, CINAHL, Embase, Cochrane, Web of Science, Scopus, and ClinicalTrials.gov databases for articles published from inception to June 24, 2022, without language restrictions.Study SelectionRandomized clinical trials (RCTs) comparing SDM-based interventions with standard of care for cardiovascular risk factor management were included.Data Extraction and SynthesisThe systematic search resulted in 9365 references. Duplicates were removed, and 2 independent reviewers screened the trials (title, abstract, and full text) and extracted data. Data were pooled using a random-effects model. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline.Main Outcomes and MeasuresDecisional outcomes, cardiovascular risk factor outcomes, and health behavioral outcomes.ResultsThis review included 57 RCTs with 88 578 patients and 1341 clinicians. A total of 59 articles were included, as 2 RCTs were reported twice. Nearly half of the studies (29 [49.2%]) tested interventions that targeted both patients and clinicians, and an equal number (29 [49.2%]) exclusively focused on patients. More than half (32 [54.2%]) focused on diabetes management, and one-quarter focused on multiple cardiovascular risk factors (14 [23.7%]). Most studies (35 [59.3%]) assessed cardiovascular risk factors and health behaviors as well as decisional outcomes. The quality of studies reviewed was low to fair. The SDM intervention was associated with a decrease of 4.21 points (95% CI, −8.21 to −0.21) in Decisional Conflict Scale scores (9 trials; I2 = 85.6%) and a decrease of 0.20% (95% CI, −0.39% to −0.01%) in hemoglobin A1c (HbA1c) levels (18 trials; I2 = 84.2%).Conclusions and RelevanceIn this systematic review and meta-analysis of the current state of research on SDM interventions for cardiovascular risk management, there was a slight reduction in decisional conflict and an improvement in HbA1c levels with substantial heterogeneity. High-quality studies are needed to inform the use of SDM to improve cardiovascular risk management.

Publisher

American Medical Association (AMA)

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