Economic Evaluation of Telerehabilitation: Systematic Literature Review of Cost-Utility Studies.

cost cost-effectiveness economic evaluation quality-adjusted life year rehabilitation systematic review telerehabilitation

Journal

JMIR rehabilitation and assistive technologies
ISSN: 2369-2529
Titre abrégé: JMIR Rehabil Assist Technol
Pays: Canada
ID NLM: 101703412

Informations de publication

Date de publication:
05 Sep 2023
Historique:
received: 10 03 2023
accepted: 26 07 2023
revised: 07 07 2023
medline: 5 9 2023
pubmed: 5 9 2023
entrez: 5 9 2023
Statut: epublish

Résumé

Telerehabilitation could benefit a large population by increasing adherence to rehabilitation protocols. Our objective was to review and discuss the use of cost-utility approaches in economic evaluations of telerehabilitation interventions. A review of the literature on PubMed, Scopus, Centres for Review and Dissemination databases (including the HTA database, the Database of Abstracts of Reviews of Effects, and the NHS Economic Evaluation Database), Cochrane Library, and ClinicalTrials.gov (last search on February 8, 2021) was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The inclusion criteria were defined in accordance with the PICOS (population, intervention, comparison, outcomes, and study design) system: the included studies had to evaluate patients in rehabilitation therapy for all diseases and disorders (population) through exercise-based telerehabilitation (intervention) and had to have a control group that received face-to-face rehabilitation (comparison), and these studies had to evaluate effectiveness through gain in quality of life (outcome) and used the design of randomized and controlled clinical studies (study). We included 11 economic evaluations, of which 6 concerned cardiovascular diseases. Several types of interventions were assessed as telerehabilitation, consisting in monitoring of rehabilitation at home (monitored by physicians) or a rehabilitation program with exercise and an educational intervention at home alone. All studies were based on randomized clinical trials and used a validated health-related quality of life instrument to describe patients' health states. Four evaluations used the EQ-5D, 1 used the EQ-5D-5L, 2 used the EQ-5D-3L, 3 used the Short-Form Six-Dimension questionnaire, and 1 used the 36-item Short Form survey. The mean quality-adjusted life years gained using telerehabilitation services varied from -0.09 to 0.89. These results were reported in terms of the probability that the intervention was cost-effective at different thresholds for willingness-to-pay values. Most studies showed results about telerehabilitation as dominant (ie, more effective and less costly) together with superiority or noninferiority in outcomes. There is evidence to support telerehabilitation as a cost-effective intervention for a large population among different disease areas. There is a need for conducting cost-effectiveness studies in countries because the available evidence has limited generalizability in such countries. PROSPERO CRD42021248785; https://tinyurl.com/4xurdvwf.

Sections du résumé

BACKGROUND BACKGROUND
Telerehabilitation could benefit a large population by increasing adherence to rehabilitation protocols.
OBJECTIVE OBJECTIVE
Our objective was to review and discuss the use of cost-utility approaches in economic evaluations of telerehabilitation interventions.
METHODS METHODS
A review of the literature on PubMed, Scopus, Centres for Review and Dissemination databases (including the HTA database, the Database of Abstracts of Reviews of Effects, and the NHS Economic Evaluation Database), Cochrane Library, and ClinicalTrials.gov (last search on February 8, 2021) was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The inclusion criteria were defined in accordance with the PICOS (population, intervention, comparison, outcomes, and study design) system: the included studies had to evaluate patients in rehabilitation therapy for all diseases and disorders (population) through exercise-based telerehabilitation (intervention) and had to have a control group that received face-to-face rehabilitation (comparison), and these studies had to evaluate effectiveness through gain in quality of life (outcome) and used the design of randomized and controlled clinical studies (study).
RESULTS RESULTS
We included 11 economic evaluations, of which 6 concerned cardiovascular diseases. Several types of interventions were assessed as telerehabilitation, consisting in monitoring of rehabilitation at home (monitored by physicians) or a rehabilitation program with exercise and an educational intervention at home alone. All studies were based on randomized clinical trials and used a validated health-related quality of life instrument to describe patients' health states. Four evaluations used the EQ-5D, 1 used the EQ-5D-5L, 2 used the EQ-5D-3L, 3 used the Short-Form Six-Dimension questionnaire, and 1 used the 36-item Short Form survey. The mean quality-adjusted life years gained using telerehabilitation services varied from -0.09 to 0.89. These results were reported in terms of the probability that the intervention was cost-effective at different thresholds for willingness-to-pay values. Most studies showed results about telerehabilitation as dominant (ie, more effective and less costly) together with superiority or noninferiority in outcomes.
CONCLUSIONS CONCLUSIONS
There is evidence to support telerehabilitation as a cost-effective intervention for a large population among different disease areas. There is a need for conducting cost-effectiveness studies in countries because the available evidence has limited generalizability in such countries.
TRIAL REGISTRATION BACKGROUND
PROSPERO CRD42021248785; https://tinyurl.com/4xurdvwf.

Identifiants

pubmed: 37669089
pii: v10i1e47172
doi: 10.2196/47172
pmc: PMC10509745
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e47172

Informations de copyright

©Sandrine Baffert, Nawale Hadouiri, Cécile Fabron, Floriane Burgy, Aurelia Cassany, Gilles Kemoun. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 05.09.2023.

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Auteurs

Sandrine Baffert (S)

Health Economics, CEMKA, Bourg-la-Reine, France.

Nawale Hadouiri (N)

Pôle Rééducation et de Réadaptation, CHU de Dijon, Dijon, France.
InterSyndicale Nationale des Internes, Paris, France.

Cécile Fabron (C)

Health Economics, CEMKA, Bourg-la-Reine, France.

Floriane Burgy (F)

Pôle Rééducation et de Réadaptation, CHU de Dijon, Dijon, France.

Aurelia Cassany (A)

Department of Clinical Research, ELSAN, Paris, France.

Gilles Kemoun (G)

Centre Clinical, Department of Médecine Physique et de Réadaptation Fonctionnelle, ELSAN, Soyaux, France.
Laboratoire Mobilité, Mouvement et Exercice (MOVE) - EA 6314, Université de Poitiers, Poitiers, France.

Classifications MeSH