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The clinical effectiveness of telehealth: A systematic review of meta-analyses from 2010 to 2019
Abstract
Introduction: To promote telehealth implementation and uptake, it is important to assess overall clinical effectiveness to ensure any changes will not adversely affect patient outcomes. The last systematic literature review examining telehealth effectiveness was conducted in 2010. Given the increasing use of telehealth and technological developments in the field, a more contemporary review has been carried out. The aim of this review was to synthesise recent evidence associated with the clinical effectiveness of telehealth services. Methods: A systematic search of ‘Pretty Darn Quick’-Evidence portal was carried out in November 2020 for systematic reviews on telehealth, where the primary outcome measure reported was clinical effectiveness. Due to the volume of telehealth articles, only systematic reviews with meta-analyses published between 2010 and 2019 were included in the analysis. Results: We found 38 meta-analyses, covering 10 medical disciplines: cardiovascular disease ( n = 3), dermatology ( n = 1), endocrinology ( n = 13), neurology ( n = 4), nephrology ( n = 2), obstetrics ( n = 1), ophthalmology ( n = 1), psychiatry and psychology ( n = 7), pulmonary ( n = 4) and multidisciplinary care ( n = 2). The evidence showed that for all disciplines, telehealth across a range of modalities was as effective, if not more, than usual care. Discussion: This review demonstrates that telehealth can be equivalent or more clinically effective when compared to usual care. However, the available evidence is very discipline specific, which highlights the need for more clinical effectiveness studies involving telehealth across a wider spectrum of clinical health services. The findings from this review support the view that in the right context, telehealth will not compromise the effectiveness of clinical care when compared with conventional forms of health service delivery.
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“and telehealth is an effective and acceptable means of service delivery. 36”
From Virtual psychoeducation for improvement of pain catastrophizing in pediatric presurgical patients and caregivers: a proof-of-concept study (2023) · cites this paper as [36]
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“recent umbrella reviews [10,11] that consider older primary studies have potentially made conclusions based on noncontemporary data.”
From Interactive Remote Patient Monitoring Devices for Managing Chronic Health Conditions: Systematic Review and Meta-analysis (2022) · cites this paper as [11]
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Metadata
- Authors
- Snoswell, C. L., Chelberg, G., De Guzman, K. R., Haydon, H. M., Thomas, E. E., Caffery, L. J., & Smith, A. C.
- Affiliations
- The University of Queensland (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Centre for Online Health, The University of Queensland, Australia
- ORCID
- Venue
- Journal of Telemedicine and Telecare
- Publisher
- SAGE Publications
- Published
- 2021-06-29
- Volume
- 29
- Issue
- 9
- Pages
- 669-684
- ISSN
- 1357-633X (ISSN-L)
- 1758-1109
- OpenAlex
- W3173752335
- Semantic Scholar
- b7f57dd605ccd636909f2c6cf36857fe10dbd9e8
- Cited by
- 397
- References
- 48
- Citations by year
- 2026: 60 · 2025: 87 · 2024: 96 · 2023: 78 · 2022: 64 · 2021: 12
- FWCI
- 11.13
- Type
- journal article
- Language
- en
- Update notices
- correction (2024-06-11)
- Open access
- closed
- Locations
- Journal of Telemedicine and Telecare (publishedVersion)
- PubMed (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Systems and Technology
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Keywords
- telemedicine, clinical effectiveness, usual care comparison, health care delivery, patient outcomes
- MeSH terms
- Delivery of Health Care, Female, Health Services, Humans, Pregnancy, Meta-Analysis as Topic, Treatment Outcome, Telemedicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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