Evidence map›Paper›PMID 41116810›Full record

ArticleDigital health

Care pathways combining digital therapeutics and conventional care for musculoskeletal disorders: State sequence analyses of 4-year claims data.

Silke Frey, Annika Schmitz, Udo Schneider, Linda Kerkemeyer, Birgitta Weltermann

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Article in Digital 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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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

5 authors.

Silke FreyInstitute of Health Economics, Institute of General Practice and Family Medicine, University Hospital Bonn, University of Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-9963-7647
Annika SchmitzInstitute of Health Economics, Institute of General Practice and Family Medicine, University Hospital Bonn, University of Bonn, Bonn, Germany.ORCID https://orcid.org/0009-0005-7918-6569
Udo SchneiderTechniker Krankenkasse, Hamburg, Germany.ORCID https://orcid.org/0000-0001-7079-4721
Linda KerkemeyerLiKe Healthcare Research GmbH, Berlin, Germany.ORCID https://orcid.org/0000-0002-5546-8394
Birgitta WeltermannInstitute of Health Economics, Institute of General Practice and Family Medicine, University Hospital Bonn, University of Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-1285-1545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital therapeutics (DTx) are promising for treating musculoskeletal disorders (MSD) which contribute significantly to global disability. Despite full reimbursement of certified DTx in Germany and other countries, their utilization remains low, mainly because of uncertainty about how to integrate DTx best into standard patient care. Objective: Using four years of claims data, this cohort study employs state sequence analysis to describe the claims-documented use of DTx in combination with other therapies and the influence of different care pathways on the change of chronicity risk over time. Methods: Health claims data of 6090 DTx users from one of the largest German sickness fund were analyzed (2020-2023). First, three treatment events were classified: outpatient consultations, medication prescriptions, and conventional physical therapy. Second, hierarchical clustering based on patient pathways was performed. Third, associations between clusters and the change of the patients' pain chronicity risk over time (improved vs worsened/equal) were analyzed via binomial logistic regressions. Results: We identified distinct patient clusters and showed that older and more severe cases were more likely to receive more healthcare services in addition to DTx. Prescriptions of additional pain medications (OR = 2.16, 95% CI: 1.63-2.84, Conclusion: This study emphasizes the need to individualize the prescription of DTx and supplementary treatments based on patient age and complexity. The combination of DTx and conventional care is especially promising for patient groups with high pain chronicity risks.

Indexed as

DiGADigital health interventionsdigital therapeuticsDTxhealth claims datamhealthmusculoskeletal diseasespatient pathwaysstate sequence analysistreatment utilization

Identifiers

PMID41116810
PMCPMC12535641

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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.