Self‐management interventions for people with multiple sclerosis: A systematic review and meta‐analysis protocol

BACKGROUND AND AIMS: Educational self‐management interventions (SMI) have an important role in improving symptom management, preventing relapse of multiple sclerosis (MS) and promoting quality of life (QoL) of these patients; since there is little knowledge about overall effectiveness of MS self‐man...

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Detalles Bibliográficos
Autores principales: Heidari‐Soureshjani, Reza, Nasrabadi, Alireza Nikbakht, Zakerimoghadam, Masoumeh, Mohammadi, Tayeb, Rasti, Arezoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Study Protocols
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476465/
https://www.ncbi.nlm.nih.gov/pubmed/37670845
http://dx.doi.org/10.1002/hsr2.1536
Descripción
Sumario:BACKGROUND AND AIMS: Educational self‐management interventions (SMI) have an important role in improving symptom management, preventing relapse of multiple sclerosis (MS) and promoting quality of life (QoL) of these patients; since there is little knowledge about overall effectiveness of MS self‐management programs and which types of SMI improves the outcomes, this research aims to assess the efficacy of structured SMI in improving health outcomes in people with MS (PwMS) by synthesizing and compare outcomes from related randomized controlled trials. METHODS: In the present systematic review protocol, the keywords related to self‐management and MS will be searched in electronic databases including (PubMed, Web of Science, Scopus, EMBASE, Cochrane Central Register of Controlled Trials [CENTRAL]), gray literature resources and key journals from 2000 to July 2023. Research‐related articles will be collected and after removing duplicate articles, will be included in the study. In the screening step, titles and abstracts of articles will be reviewed and after deleting irrelevant articles, the full text of related articles will be evaluated independently by two researchers and data will be extracted from final articles and the findings will be categorized in an extraction table. Risk of bias will be assessed by using the Cochrane collaboration's tool. If possible, the data will be analyzed using random effect models and the statistical analysis will be performed using STATA software (version 14.2) developed by StataCorp. DISCUSSION: Comparative effectiveness of SMI is currently unknown. We will analyze outcome measures used to assess effectiveness of self‐management education in improving QoL, depression, self‐efficacy, pain, and fatigue. These findings will help identify the most promising components of SMIs, guiding targeted interventions for specific subpopulations, and facilitating the design of better interventions.

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