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Shared Decision-Making in Cardiovascular Risk Factor Management: A Systematic Review and Meta-Analysis.
Elias, Sabrina; Chen, Yuling; Liu, Xiaoyue; Slone, Sarah; Turkson-Ocran, Ruth-Alma; Ogungbe, Bunmi; Thomas, Sabena; Byiringiro, Samuel; Koirala, Binu; Asano, Reiko; Baptiste, Diana-Lyn; Mollenkopf, Nicole L; Nmezi, Nwakaego; Commodore-Mensah, Yvonne; Himmelfarb, Cheryl R Dennison.
Affiliation
  • Elias S; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Chen Y; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Liu X; New York University Rory Meyers College of Nursing, New York, New York.
  • Slone S; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Turkson-Ocran RA; Division of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Ogungbe B; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Thomas S; Adelphi University, Garden City, New York.
  • Byiringiro S; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Koirala B; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Asano R; Catholic University of America, Washington, DC.
  • Baptiste DL; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Mollenkopf NL; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Nmezi N; MedStar National Rehabilitation Hospital, Washington, DC.
  • Commodore-Mensah Y; Johns Hopkins School of Nursing, Baltimore, Maryland.
  • Himmelfarb CRD; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
JAMA Netw Open ; 7(3): e243779, 2024 Mar 04.
Article in En | MEDLINE | ID: mdl-38530311
ABSTRACT
Importance The effect of shared decision-making (SDM) and the extent of its use in interventions to improve cardiovascular risk remain unclear.

Objective:

To 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 Sources For 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 Selection Randomized clinical trials (RCTs) comparing SDM-based interventions with standard of care for cardiovascular risk factor management were included. Data Extraction and

Synthesis:

The 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

Measures:

Decisional outcomes, cardiovascular risk factor outcomes, and health behavioral outcomes.

Results:

This 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 Relevance In 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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JAMA Netw Open Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JAMA Netw Open Year: 2024 Document type: Article