Abstract
Background: Active self-care improves quality of life, lowers hospital readmission risks, and decreases mortality from heart failure. Different self-care intervention models for these patients involve a variety of care contributions from healthcare professionals and caregivers, and little is known about which self-care intervention model is the most effective.Methods: We will search the MEDLINE/PubMed, the Cochrane Library, CINAHL, ClinicalTrials.gov, Embase and PsycINFO databases from January, 2000 to April, 2021. The gray literature will also be searched to ensure randomized controlled trials are included as comprehensively as possible. Summary standardized mean differences and 95% credible intervals will be calculated via Bayesian random-effects network meta-analysis. Heterogeneity will be evaluated, and risk of bias will be assessed using the Cochrane Risk of Bias tool.Discussion: This network meta-analysis will analyze outcomes including quality of life, healthcare use, readmission rate, and mortality to identify the most effective intervention model.Impact: We will analyze self-care interventions and determine which is most effective through this meta‐analysis.Registration number: PROSPERO CRD42021253179
A Nursing Care Intervention Model for Elderly People to Ascertain General Profiles of Functionality and Self Care Needs
