Enablers and barriers of people with chronic musculoskeletal pain for engaging in telehealth interventions: protocol for a qualitative systematic review and meta-synthesis
Open accessAbstract
Background: Chronic musculoskeletal pain represents an enormous burden in society. Best-practice care for chronic musculoskeletal pain suggests adoption of self-management strategies. Telehealth interventions (e.g., videoconferencing) are a promising approach to promote self-management and have the potential to overcome geographical barriers between patient and care providers. Understanding patient perspectives will inform and identify practical challenges towards applying the self-management strategies delivered via telehealth to everyday lives. The aim of this study is to synthesize the perceptions of individuals with musculoskeletal pain with regards to enablers and barriers to engaging in telehealth interventions for chronic musculoskeletal pain self-management. Methods: A systematic review of qualitative studies will be performed based on searches of MEDLINE, EMBASE, CINAHL, LILACS, and PsycINFO databases. Screening of identified titles will be conducted by two independent investigators. Data extraction will retrieve detailed qualitative information from selected articles. The critical appraisal skills program (CASP) checklist will be used for critical appraisal of included studies, and the level of confidence in the findings will be assessed using the confidence in the evidence from reviews of qualitative research (GRADE-CERQual). A thematic synthesis approach will be used to derive analytical themes. Discussion: This review will systematically identify, synthesize, and present enablers and barriers reported by people with musculoskeletal pain to engage in telehealth interventions. The review will provide information required to support the design and improvement of telehealth services. Systematic review registration: PROSPERO CRD42019136148
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Existing research has focused on individual health conditions, such as COPD and chronic musculoskeletal pain.
“Existing research has focused on individual health conditions, such as COPD [12] and chronic musculoskeletal pain, [14] with none assessing the role of telemonitoring in patients with a broader range of long-term conditions and multimorbidity.”
From Use of telemonitoring in patient self-management of chronic disease: a qualitative meta-synthesis (2023) · cites this paper as [14]
Few meta-syntheses evaluating patients' satisfaction, acceptability, and feasibility of telemonitoring are present in the literature.
“Few meta-syntheses evaluating patients’ satisfaction, acceptability (how well the intervention is received by the target population), and feasibility (if the intervention is appropriate for future testing/implementation) of telemonitoring are present in the literature. [12–14]”
From Use of telemonitoring in patient self-management of chronic disease: a qualitative meta-synthesis (2023) · cites this paper as [14]
No existing research has assessed the role of telemonitoring in patients with a broader range of long-term conditions and multimorbidity.
“Existing research has focused on individual health conditions, such as COPD [12] and chronic musculoskeletal pain, [14] with none assessing the role of telemonitoring in patients with a broader range of long-term conditions and multimorbidity.”
From Use of telemonitoring in patient self-management of chronic disease: a qualitative meta-synthesis (2023) · cites this paper as [14]
This meta-synthesis has drawn attention to concerns regarding security of personal data, not seen in other meta-syntheses.
“It has also drawn attention to concerns regarding security of personal data, not seen in other meta-syntheses. [12–14]”
From Use of telemonitoring in patient self-management of chronic disease: a qualitative meta-synthesis (2023) · cites this paper as [14]
Few meta-syntheses are available that focus on telemonitoring within chronic disease management.
“Few meta-syntheses [12–14] are available that focus on telemonitoring within chronic disease management.”
From Use of telemonitoring in patient self-management of chronic disease: a qualitative meta-synthesis (2023) · cites this paper as [14]
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Cites
Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220 · see citing works
Methods for the thematic synthesis of qualitative research in systematic reviews
Thomas, J., & Harden, A. (2008) · BMC Medical Research Methodology · doi:10.1186/1471-2288-8-45 · Cited by 9,312 · see citing works
The cochrane database of systematic reviews
Geddes, J. R. (1996) · Journal of Psychosomatic Research · doi:10.1016/s0022-3999(96)90063-x · Cited by 5,988 · see citing works
Kyu, H. H., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32335-3 · Cited by 4,112 · see citing works
A classification of chronic pain for ICD-11
Treede, R.-D., Rief, W., Barke, A., Aziz, Q., Bennett, M. I., Benoliel, R., Cohen, M., Evers, S., Finnerup, N. B., First, M. B., et al. (2015) · Pain · doi:10.1097/j.pain.0000000000000160 · Cited by 2,822 · see citing works
Beyond PICO: The SPIDER Tool for Qualitative Evidence Synthesis
Cooke, A., Smith, D., & Booth, A. (2012) · Qualitative Health Research · doi:10.1177/1049732312452938 · Cited by 2,608 · see citing works
Prevention and treatment of low back pain: evidence, challenges, and promising directions
Foster, N. E., Anema, J. R., Cherkin, D., Chou, R., Cohen, S. P., Gross, D. P., Ferreira, P. H., Fritz, J. M., Koes, B. W., Peul, W., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30489-6 · Cited by 2,398 · see citing works
Hay, S. I., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32130-x · Cited by 2,083 · see citing works
Applying GRADE-CERQual to qualitative evidence synthesis findings: introduction to the series
Lewin, S., Booth, A., Glenton, C., Munthe-Kaas, H., Rashidian, A., Wainwright, M., Bohren, M. A., Tunçalp, Ö., Colvin, C. J., Garside, R., et al. (2018) · Implementation Science · doi:10.1186/s13012-017-0688-3 · Cited by 1,231 · see citing works
Lin, I. B., Wiles, L., Waller, R., Goucke, R. C., Nagree, Y., Gibberd, M., Straker, L. M., Maher, C. G., & O’Sullivan, P. (2019) · British Journal of Sports Medicine · doi:10.1136/bjsports-2018-099878 · Cited by 1,031 · see citing works
Cottrell, M. A., Galea, O. A., O’Leary, S. P., Hill, A. J., & Russell, T. G. (2017) · Clinical Rehabilitation · doi:10.1177/0269215516645148 · Cited by 708 · see citing works
O’Connor, S., Hanlon, P., O’Donnell, C. A., Garcia, S., Glanville, J., & Mair, F. S. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0359-3 · Cited by 636 · see citing works
Lewin, S. A., Bohren, M. A., Rashidian, A., Munthe‐Kaas, H. M., Glenton, C., Colvin, C. J., Garside, R., Noyes, J., Booth, A., Tunçalp, Ö., et al. (2018) · Implementation Science · doi:10.1186/s13012-017-0689-2 · Cited by 570 · see citing works
Nilsen, E. S., Myrhaug, H. T., Johansen, M., Oliver, S. R., & Oxman, A. D. (2006) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004563.pub2 · Cited by 565 · see citing works
The International Association for the Study of Pain (IASP)
Ruskin, K. J. (1999) · Anesthesiology · doi:10.1097/00000542-199905000-00051 · Cited by 452 · see citing works
Marinho, F., Passos, V. M. D. A., Malta, D. C., França, E. B., de Abreu, D. M. X., de Araújo, V. E. M., Bustamante-Teixeira, M. T., Camargos, P. A. M., da Cunha, C. C., Duncan, B. B., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31221-2 · Cited by 442 · see citing works
Munthe‐Kaas, H. M., Bohren, M. A., Glenton, C., Lewin, S. A., Noyes, J., Tunçalp, Ö., Booth, A., Garside, R., Colvin, C. J., Wainwright, M., et al. (2018) · Implementation Science · doi:10.1186/s13012-017-0690-9 · Cited by 303 · see citing works
Bennell, K. L., Nelligan, R. K., Dobson, F., Rini, C. K., Keefe, F. J., Kasza, J., French, S., Bryant, C., Dalwood, A., Abbott, J. H., et al. (2017) · Annals of Internal Medicine · doi:10.7326/m16-1714 · Cited by 284 · see citing works
Glenton, C., Carlsen, B., Lewin, S. A., Munthe‐Kaas, H. M., Colvin, C. J., Tunçalp, Ö., Bohren, M. A., Noyes, J., Booth, A., Garside, R., et al. (2018) · Implementation Science · doi:10.1186/s13012-017-0692-7 · Cited by 279 · see citing works
Applying GRADE-CERQual to qualitative evidence synthesis findings—paper 4: how to assess coherence
Colvin, C. J., Garside, R., Wainwright, M., Munthe‐Kaas, H. M., Glenton, C., Bohren, M. A., Carlsen, B., Tunçalp, Ö., Noyes, J., Booth, A., et al. (2018) · Implementation Science · doi:10.1186/s13012-017-0691-8 · Cited by 276 · see citing works
Noyes, J., Booth, A., Lewin, S. A., Carlsen, B., Glenton, C., Colvin, C. J., Garside, R., Bohren, M. A., Rashidian, A., Wainwright, M., et al. (2018) · Implementation Science · doi:10.1186/s13012-017-0693-6 · Cited by 266 · see citing works
Implementing PRISMA-P: recommendations for prospective authors
Moher, D., Stewart, L. A., & Shekelle, P. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0191-y · Cited by 230 · see citing works
Evidence of Benefit of Telerehabitation After Orthopedic Surgery: A Systematic Review
Pastora‐Bernal, J., Martín‐Valero, R., Barón-López, F. J., & Estebanez-Pérez, M. J. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6836 · Cited by 207 · see citing works
How, When and Why People Seek Health Information Online: Qualitative Study in Hong Kong
Chu, J. T., Wang, M. P., Shen, C., Viswanath, K., Lam, T. H., & Chan, S. S. C. (2017) · Interactive Journal of Medical Research · doi:10.2196/ijmr.7000 · Cited by 181 · see citing works
Manganello, J. A., Gerstner, G. R., Pergolino, K., Graham, Y. J., Falisi, A. L., & Strogatz, D. S. (2015) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000000366 · Cited by 174 · see citing works
Hinman, R. S., Nelligan, R. K., Bennell, K. L., & Delany, C. M. (2017) · Arthritis Care & Research · doi:10.1002/acr.23218 · Cited by 154 · see citing works
Patients' experiences of telerehabilitation at home after shoulder joint replacement
Eriksson, L., Lindström, B., & Ekenberg, L. (2011) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2010.100317 · Cited by 116 · see citing works
Hutting, N., Johnston, V., Staal, J. B., & Heerkens, Y. F. (2019) · Journal of Orthopaedic and Sports Physical Therapy · doi:10.2519/jospt.2019.0605 · Cited by 114 · see citing works
Tailored web-based interventions for pain: Systematic review and meta-analysis
Martorella, G., Boitor, M., Berube, M., Fredericks, S., Le May, S., & Gélinas, C. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8826 · Cited by 88 · see citing works
Integration of Mobile Health Technology in the Treatment of Chronic Pain: A Critical Review
Sundararaman, L. V., Edwards, R. R., Ross, E. L., & Jamison, R. N. (2017) · Regional Anesthesia and Pain Medicine · doi:10.1097/aap.0000000000000621 · Cited by 72 · see citing works
O’Brien, K. M., Hodder, R. K., Wiggers, J. H., Williams, A. J., Campbell, E. M., Wolfenden, L., Yoong, S. L., Tzelepis, F., Kamper, S. J., & Williams, C. M. (2018) · PeerJ · doi:10.7717/peerj.5846 · Cited by 69 · see citing works
Self-citationDear, B. F., Gandy, M., Karin, E., Ricciardi, T., Fogliati, V. J., McDonald, S., Staples, L. G., Perry, K. N., Sharpe, L., Nicholas, M. K., et al. (2017) · Pain · doi:10.1097/j.pain.0000000000000916 · Cited by 57 · see citing works
Future Implications of eHealth Interventions for Chronic Pain Management in Underserved Populations
DeMonte, C. M., Demonte, W., & Thorn, B. E. (2015) · Pain Management · doi:10.2217/pmt.15.9 · Cited by 28 · see citing works
Devan, H., Godfrey, H., Perry, M., Hempel, D., Saipe, B., Hale, L., & Grainger, R. (2019) · Journal of Pain Research · doi:10.2147/jpr.s206539 · Cited by 26 · see citing works
Self-citationAcceptability of a telecare intervention for persistent musculoskeletal pain
Guilkey, R. E., Draucker, C. B., Wu, J., Yu, Z., & Kroenke, K. (2016) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x16670815 · Cited by 14 · see citing works
Definitions of Terms in Telehealth
Rudel, D., & Fisk, M. J. (2011) · Coventry University Open Collections (Coventry university) · Cited by 14 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Fernandes, L. G., Devan, H., Fioratti, I., Kamper, S. J., Williams, C. M., & Saragiotto, B. T. (2022) · Pain · doi:10.1097/j.pain.0000000000002364 · Cited by 118 · see citing works
Self-citationUse of telemonitoring in patient self-management of chronic disease: a qualitative meta-synthesis
Creber, A., Leo, D. G., Buckley, B. J. R., Chowdhury, M., Harrison, S. L., Isanejad, M., Lane, D. A., & on behalf of the TAILOR investigators (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03486-3 · Cited by 50 · see citing works
- Authors
- Fernandes, L. G., Devan, H., Kamper, S. J., Williams, C. M., & Saragiotto, B. T.
- Affiliations
- Universidade Cidade de São Paulo (BR)
- University of Otago (NZ)
- The University of Sydney (AU)
- Hunter Medical Research Institute (AU)
- Corresponding author
- Fernandes, Lívia G.
- ORCID
- Venue
- Systematic Reviews
- Published
- 2020-05-31
- Volume
- 9
- Issue
- 1
- Pages
- 122-122
- ISSN
- 2046-4053 (ISSN-L)
- PMC
- PMC7262761
- OpenAlex
- W3030037215
- Cited by
- 23
- References
- 36
- Citations by year
- 2025: 4 · 2024: 6 · 2023: 5 · 2022: 3 · 2021: 4 · 2020: 1
- FWCI
- 0.54
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Systematic Reviews (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- University of Otago
- Hunter New England Local Health District
- Hunter Medical Research Institute
- University of Sydney
- Fundação de Amparo à Pesquisa do Estado de São Paulo (2019/, 16/24217-7, 2019/14032-8)
- Faculty of Medicine and Health, University of Sydney
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- chronic musculoskeletal pain, telemedicine, self-management, patient engagement, barriers and facilitators, patient perspectives, videoconferencing
- MeSH terms
- Self-Management, Systematic Reviews as Topic, Humans, Telemedicine, Qualitative Research, Chronic Pain, Musculoskeletal Pain
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