Evidence map›Paper›PMID 40490907›Full record

ArticleMusculoskeletal care2025

Digital Readiness Among 3555 Individuals With Hip or Knee Osteoarthritis Initiating a Supervised Education and Exercise Therapy Programme: A Cross-Sectional Study.

Graziella Zangger, Dorte T Grønne, Lars H Tang, Lau C Thygesen, Ewa M Roos, Søren T Skou

Abstract read
In one paragraph

Article in Musculoskeletal care, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Graziella ZanggerDepartment of Physiotherapy and Occupational Therapy, The Research and Implementation Unit PROgrez, Næstved-Slagelse-Ringsted Hospital, Slagelse, Denmark.ORCID 0000-0002-7606-3273
Dorte T GrønneDepartment of Physiotherapy and Occupational Therapy, The Research and Implementation Unit PROgrez, Næstved-Slagelse-Ringsted Hospital, Slagelse, Denmark.
Lars H TangDepartment of Physiotherapy and Occupational Therapy, The Research and Implementation Unit PROgrez, Næstved-Slagelse-Ringsted Hospital, Slagelse, Denmark.
Lau C ThygesenNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Ewa M RoosCenter for Muscle and Joint Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Søren T SkouDepartment of Physiotherapy and Occupational Therapy, The Research and Implementation Unit PROgrez, Næstved-Slagelse-Ringsted Hospital, Slagelse, Denmark.

Funding

1-year PhD faculty scholarship from the University of SouthDanish Physiotherapy Association's fund for research, education, and practice developmentGigtforeningenNSR Research Fund A447Physiotherapy Practice FoundationRegion Zealand
6 · The paper itself

Abstract

introductionDigital health can support exercise and symptom management in hip and knee osteoarthritis (OA), but uptake may depend on digital readiness (e.g., the capability) to use such tools. This study assessed digital readiness profiles in individuals with hip and/or knee OA initiating in-person physiotherapist-led GLA:D exercise and education and their associations with sociodemographic and health characteristics.

methodsBaseline GLA:D registry questionnaire data were analysed. The eHealth Readiness Scale measured digital readiness. Latent class analysis identified profiles, and multinomial logistic regression examined associations.

resultsAmong 3555 participants (mean age 66.7 years, 67% female), 53% reported confidence using the internet, 32% agreed that it improved efficiency, and only 26% agreed to use lifestyle tracking devices. Three profiles (low, intermediate, and high) were identified. Compared with the high profile, low readiness was associated with older age (odds ratio (OR) 1.96, 95% confidence interval (CI) 1.71-2.24)), female sex (OR 0.72, 95% CI 0.57-0.90), lower education (OR 0.62, 95% CI 0.45-0.88), living alone (OR 1.39, 95% CI 1.11-1.76), and more comorbidities (OR 1.10, 95% CI 1.04-1.17). The intermediate profile showed similar trends but were also associated with less obesity (0.75, 95% CI 0.60-0.95) and lower walking speed (0.72, 95% CI 0.53-0.97).

conclusionsDigital readiness profiles differed notably by age, sex, and education, underscoring the importance of readiness to enhance uptake and guide implementation and resource allocation of digital health in OA care. Future studies should address digital readiness improvement strategies.

Indexed as

Exercise TherapyOsteoarthritis, HipOsteoarthritis, KneePatient Education as TopicAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedTelemedicinedigital healthdigital readinessexercise therapyhealth educationlaten class analysisosteoarthritis

Identifiers

PMID40490907
PMCPMC12149361

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.