Sleep Disturbance in Musculoskeletal Conditions: Impact of a Digital Care Program.

eHealth pain physical therapy remote care telerehabilitation

Journal

Journal of pain research
ISSN: 1178-7090
Titre abrégé: J Pain Res
Pays: New Zealand
ID NLM: 101540514

Informations de publication

Date de publication:
2023
Historique:
received: 22 10 2022
accepted: 16 12 2022
entrez: 13 1 2023
pubmed: 14 1 2023
medline: 14 1 2023
Statut: epublish

Résumé

Musculoskeletal (MSK) pain is highly prevalent worldwide, resulting in significant disability, and comorbid sleep disturbances. Digital therapy for MSK pain can provide significant improvements in care access, alongside pain and disability reductions. However, studies on the effect of such programs on sleep are lacking. To evaluate the impact on pain-related sleep impairment after a 12-week remote multimodal digital care program (DCP) for MSK conditions. This is an ad-hoc analysis of a decentralized single-arm study into engagement and clinical outcomes after a DCP for MSK rehabilitation. Patients were stratified by baseline sleep disturbance, based on sleep questions in the questionnaires: Oswestry Disability Index, Neck Disability Index, and the Quick Disabilities of the Arm, Shoulder and Hand questionnaire. Additional outcomes were pain, Generalized Anxiety Disorder 7-item scale, Patient Health 9-item questionnaire, Work Productivity, and Activity Impairment, and program engagement. At baseline, 5749 patients reported sleep disturbance (78.0% of eligible patients). These reported significantly worse clinical outcomes at baseline than patients without sleep disturbance (all p<0.001). Patients with comorbid sleep disturbance showed improvements in sleep, with a significant proportion reporting full recovery at program completion: 56% of patients with upper limb conditions (including 10% of patients with severe sleep disturbance at baseline), and 24% with spine conditions. These patients also reported significant improvements in all clinical outcomes at program completion. Engagement and satisfaction were high, and also higher than in patients without sleep impairment. This is the first study of its kind investigating the effect of a completely remote DCP for MSK pain on sleep. Patients reporting comorbid sleep disturbance had significant improvement in sleep, alongside pain, mental health and work productivity at program completion. The results suggest that a DCP for MSK pain can improve sleep disturbances in patients with upper limb and spine conditions.

Sections du résumé

Background UNASSIGNED
Musculoskeletal (MSK) pain is highly prevalent worldwide, resulting in significant disability, and comorbid sleep disturbances. Digital therapy for MSK pain can provide significant improvements in care access, alongside pain and disability reductions. However, studies on the effect of such programs on sleep are lacking.
Purpose UNASSIGNED
To evaluate the impact on pain-related sleep impairment after a 12-week remote multimodal digital care program (DCP) for MSK conditions.
Patients and Methods UNASSIGNED
This is an ad-hoc analysis of a decentralized single-arm study into engagement and clinical outcomes after a DCP for MSK rehabilitation. Patients were stratified by baseline sleep disturbance, based on sleep questions in the questionnaires: Oswestry Disability Index, Neck Disability Index, and the Quick Disabilities of the Arm, Shoulder and Hand questionnaire. Additional outcomes were pain, Generalized Anxiety Disorder 7-item scale, Patient Health 9-item questionnaire, Work Productivity, and Activity Impairment, and program engagement.
Results UNASSIGNED
At baseline, 5749 patients reported sleep disturbance (78.0% of eligible patients). These reported significantly worse clinical outcomes at baseline than patients without sleep disturbance (all p<0.001). Patients with comorbid sleep disturbance showed improvements in sleep, with a significant proportion reporting full recovery at program completion: 56% of patients with upper limb conditions (including 10% of patients with severe sleep disturbance at baseline), and 24% with spine conditions. These patients also reported significant improvements in all clinical outcomes at program completion. Engagement and satisfaction were high, and also higher than in patients without sleep impairment.
Conclusion UNASSIGNED
This is the first study of its kind investigating the effect of a completely remote DCP for MSK pain on sleep. Patients reporting comorbid sleep disturbance had significant improvement in sleep, alongside pain, mental health and work productivity at program completion. The results suggest that a DCP for MSK pain can improve sleep disturbances in patients with upper limb and spine conditions.

Identifiants

pubmed: 36636267
doi: 10.2147/JPR.S394421
pii: 394421
pmc: PMC9830709
doi:

Types de publication

Journal Article

Langues

eng

Pagination

33-46

Informations de copyright

© 2023 Scheer et al.

Déclaration de conflit d'intérêts

Fabíola Costa, Dora Janela, Maria Molinos, Anabela C. Areias, Virgílio Bento, Vijay Yanamadala and Fernando Dias Correia are employees at Sword Health, the study sponsor. Robert G. Moulder is an independent scientific consultant responsible for statistical analysis, while Jorge Lains and Justin K. Scheer are independent scientific/clinical consultants who were funded by Sword Health in connection with the development and execution of this article. Fernando Dias Correia, Vijay Yanamadala and Virgílio Bento also hold equity from Sword Health. The authors report no other conflicts of interest in this work.

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Auteurs

Justin K Scheer (JK)

Department of Neurological Surgery, University of California, San Francisco, CA, USA.

Fabíola Costa (F)

Sword Health, Inc, Draper, UT, USA.

Dora Janela (D)

Sword Health, Inc, Draper, UT, USA.

Maria Molinos (M)

Sword Health, Inc, Draper, UT, USA.

Anabela C Areias (AC)

Sword Health, Inc, Draper, UT, USA.

Robert G Moulder (RG)

Institute for Cognitive Science, University of Colorado Boulder, Boulder, CO, USA.

Jorge Lains (J)

Rovisco Pais Medical and Rehabilitation Centre, Tocha, Portugal.
Faculty of Medicine, Coimbra University, Coimbra, Portugal.

Virgílio Bento (V)

Sword Health, Inc, Draper, UT, USA.

Vijay Yanamadala (V)

Sword Health, Inc, Draper, UT, USA.
Department of Surgery, Quinnipiac University Frank H. Netter School of Medicine, Hamden, CT, USA.
Department of Neurosurgery, Hartford Healthcare Medical Group, Westport, CT, USA.

Fernando Dias Correia (FD)

Sword Health, Inc, Draper, UT, USA.
Neurology Department, Centro Hospitalar e Universitário do Porto, Porto, Portugal.

Classifications MeSH