| Autor: |
David Oh, Daphne To, Melissa Corso, Kent Murnaghan, Hainan Yu, Carol Cancelliere |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Chiropractic & Manual Therapies, Vol 32, Iss 1, Pp 1-15 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2045-709X |
| DOI: |
10.1186/s12998-024-00542-3 |
| Popis: |
Abstract Objectives To assess the concurrent validity and inter-rater agreement of the diagnosis of musculoskeletal (MSK) conditions using synchronous telehealth compared to standard in-person clinical diagnosis. Methods We searched five electronic databases for cross-sectional studies published in English in peer-reviewed journals from inception to 28 September 2023. We included studies of participants presenting to a healthcare provider with an undiagnosed MSK complaint. Eligible studies were critically appraised using the QUADAS-2 and QAREL criteria. Studies rated as overall low risk of bias were synthesized descriptively following best-evidence synthesis principles. Results We retrieved 6835 records and 16 full-text articles. Nine studies and 321 patients were included. Participants had MSK conditions involving the shoulder, elbow, low back, knee, lower limb, ankle, and multiple conditions. Comparing telehealth versus in-person clinical assessments, inter-rater agreement ranged from 40.7% agreement for people with shoulder pain to 100% agreement for people with lower limb MSK disorders. Concurrent validity ranged from 36% agreement for people with elbow pain to 95.1% agreement for people with lower limb MSK conditions. Discussion In cases when access to in-person care is constrained, our study implies that telehealth might be a feasible approach for the diagnosis of MSK conditions. These conclusions are based on small cross-sectional studies carried out by similar research teams with similar participant demographics. Additional research is required to improve the diagnostic precision of telehealth evaluations across a larger range of patient groups, MSK conditions, and diagnostic accuracy statistics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink