Evidence map›Paper›PMID 41679751›Full record

ArticleJournal of primary care & community health

Delineating the Concept of eHealth Self-Management for Chronic Musculoskeletal Pain: A Concept Analysis in the Context of the Social Cognitive Theory.

Lina Elsabbagh, Kevin Woo

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lina ElsabbaghQueen's University, Kingston, ON, Canada.ORCID 0000-0002-4523-9563
Kevin WooQueen's University, Kingston, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic musculoskeletal pain is a major health issue worldwide, characterized by a significant disease burden that leads to disability and reduced quality of life. Its prevalence is increasing, particularly among the aging population. Research is needed to provide effective, individualized, and theory-based eHealth self-management interventions to improve clinical outcomes, and access to care. There is a lack of consensus in the literature on the concept of eHealth self-management support for chronic musculoskeletal pain.

objectiveThe aim of this study is to conduct a concept analysis of eHealth self-management support for chronic pain within the framework of the Social Cognitive Theory.

methodsOur study was guided by Mckenna's 9-step process for concept analysis as a framework: (1) Select the concept; (2) Determine the purpose of the analysis; (3) Identify the uses; (4) Determine attributes; (5) Identify a 'model case'; (6) Identify alternative cases; (7) Identify antecedents and consequences; (8) Consider context and values; and (9) Identify empirical indicators. We searched the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Ovid MEDLINE, Web of Science, and other sources between 2000 and 2025. Studies were included if they met the predetermined inclusion and exclusion criteria.

resultsA total of 12 studies were included to define the main attributes, antecedents, and consequences. The attributes were: (1) Person-centered, accessible, personal, and facilitated behavioral change; (2) Web-based multidisciplinary education, modeling, and vicarious learning; (3) Web-based goal setting, activity planning, self-monitoring, and automated personalized feedback for motivational enhancement; and (4) Web-based social support and communication with healthcare providers.

conclusionThis study has delineated the concept of eHealth self-management support for chronic pain and provided a foundation for future research.

Indexed as

Chronic PainMusculoskeletal PainSelf-ManagementTelemedicineDigital HealthHumanschronic painconcept analysiseHealthinternetself-management

Identifiers

PMID41679751
PMCPMC12901894

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