edoc

Core components and impact of nurse-led integrated care models for home-dwelling older people: A systematic review and meta-analysis

Deschodt, Mieke and Laurent, Gwen and Cornelissen, Lonne and Yip, Olivia and Zúñiga, Franziska and Denhaerynck, Kris and Briel, Matthias and Karabegovic, Azra and De Geest, Sabina and Inspire consortium, . (2020) Core components and impact of nurse-led integrated care models for home-dwelling older people: A systematic review and meta-analysis. International Journal of Nursing Studies, 105. p. 103552.

Full text not available from this repository.

Official URL: https://edoc.unibas.ch/76597/

Downloads: Statistics Overview

Abstract

Integrated care models are highly recommended to overcome care fragmentation in the multimorbid older population. Nurses are potentially ideally situated to fulfil the role as care coordinator to guide integrated care. No systematic review has been conducted specifically focusing on the impact of nurse-led integrated care models for older people in community settings.; To identify core components of nurse-led integrated care models for the home-dwelling older population; to describe patient, service and process outcomes; and to evaluate the impact of these care models on quality of life, activities of daily living, hospitalisation, emergency department visits, nursing home admissions and mortality.; Systematic review and meta-analysis.; English, Dutch, French, German and Spanish articles selected from PubMed and CINAHL, hand-search of reference lists of the included articles and grey literature.; A systematic search was conducted to identify prospective experimental or quasi-experimental studies detailing nurse-led integrated care models in the older home-dwelling population. Study characteristics and reported outcomes were tabulated. The core components of the models were mapped using the Sustainable intEgrated chronic care modeLs for multi-morbidity: delivery, FInancing, and performancE (SELFIE) framework. A random effects meta-analysis was conducted to study the overall effectiveness of the included care models on health-related quality of life, activities of daily living, hospitalisation, emergency department visits, nursing home admissions or mortality. Risk of bias was appraised using the revised Cochrane risk-of-bias tool for randomized trials and ROBINS-I tool for non-randomized studies.; Nineteen studies were included studying a total of 22,168 patients. Core components of integrated care for multimorbid patients such as the involvement of a multidisciplinary team, high risk screening, tailored holistic assessment and an individualized care plan, were performed in a vast majority of the studies; however variability was observed in their operationalisation. Twenty-seven different patient, provider and service outcomes were reported, ranging from 1 to 13 per study. The meta-analyses could not demonstrate a beneficial impact on any of the predefined outcomes. Most included studies were of high risk for several biases.; The summarized evidence on nurse-led integrated care models in home-dwelling older people is inconclusive and of low quality. Future studies should include key components of implementation research, such as context analyses, process evaluations and proximal outcomes, to strengthen the evidence-base of nurse-led integrated care.
Faculties and Departments:03 Faculty of Medicine > Departement Public Health > Institut für Pflegewissenschaft
03 Faculty of Medicine > Departement Public Health > Institut für Pflegewissenschaft > Pflegewissenschaft (De Geest)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Exposome Science (Probst-Hensch)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Exposome Science (Probst-Hensch)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Bayesian Modelling and Analysis (Vounatsou)
UniBasel Contributors:Deschodt, Mieke and Yip, Olivia and Zuniga, Franziska and Denhaerynck, Kris and De Geest, Sabina M. and Probst Hensch, Nicole and Vounatsou, Penelope
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:0020-7489
e-ISSN:1873-491X
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:27 Jul 2023 13:18
Deposited On:30 Dec 2020 09:17

Repository Staff Only: item control page