How Satisfied Are Patients and Surgeons with Telemedicine in Orthopaedic Care During the COVID-19 Pandemic? A Systematic Review and Meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The coronavirus disease 2019 pandemic has resulted in a rapid pivot toward telemedicine owing to closure of in-person elective clinics and sustained efforts at physical distancing worldwide. Throughout this period, there has been revived enthusiasm for delivering and receiving orthopaedic care remotely. Unfortunately, rapidly published editorials and commentaries during the pandemic have not adequately conveyed findings of published randomized trials on this topic. QUESTIONS/PURPOSES: In this systematic review and meta-analysis of randomized trials, we asked: (1) What are the levels of patient and surgeon satisfaction with the use of telemedicine as a tool for orthopaedic care delivery? (2) Are there differences in patient-reported outcomes between telemedicine visits and in-person visits? (3) What is the difference in time commitment between telemedicine and in-person visits? METHODS: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we conducted a systematic review with the primary objective to determine patient and surgeon satisfaction with telemedicine, and secondary objectives to determine differences in patient-reported outcomes and time commitment. We used combinations of search keywords and medical subject headings around the terms "telemedicine", "telehealth", and "virtual care" combined with "orthopaedic", "orthopaedic surgery" and "randomized." We searched three medical databases (MEDLINE, Embase, and the Cochrane Library) in duplicate and performed manual searches to identify randomized controlled trials evaluating the outcomes of telemedicine and in-person orthopaedic assessments. Trials that studied an intervention that was considered to be telemedicine (that is, any form of remote or virtual care including, but not limited to, video, telephone, or internet-based care), had a control group that comprised in-person assessments performed by orthopaedic surgeons, and were reports of Level I original evidence were included in this study. Studies evaluating physiotherapy or rehabilitation interventions were excluded. Data was extracted by two reviewers and quantitative and qualitive summaries of results were generated. Methodological quality of included trials was assessed using the Cochrane Risk of Bias tool, which uniformly rated the trials at high risk of bias within the blinding categories (blinding of providers, patients, and outcome assessors). We screened 133 published articles; 12 articles (representing eight randomized controlled trials) met the inclusion criteria. There were 1008 patients randomized (511 to telemedicine groups and 497 to control groups). Subspecialties represented were hip and knee arthroplasty (two trials), upper extremity (two trials), pediatric trauma (one trial), adult trauma (one trial), and general orthopaedics (two trials). RESULTS: There was no difference in the odds of satisfaction between patients receiving telemedicine care and those receiving in-person care (pooled odds ratio 0.89 [95% CI 0.40 to 1.99]; p = 0.79). There were also no differences in surgeon satisfaction (pooled OR 0.38 [95% CI 0.07 to 2.19]; p = 0.28) or among multiple patient-reported outcome measures that evaluated pain and function. Patients reported time savings, both when travel time was excluded (17 minutes shorter [95% CI 2 to 32]; p = 0.03) and when it was included (180 minutes shorter [95% CI 78 to 281]; p < 0.001). CONCLUSION: Evidence from heterogeneous randomized studies demonstrates that the use of telemedicine for orthopaedic assessments does not result in identifiable differences in patient or surgeon satisfaction compared with in-person assessments. Importantly, the source studies in this review did not adequately capture or report safety endpoints, such as complications or missed diagnoses. Future studies must be adequately powered to detect these differences to ensure patient safety is not compromised with the use of telemedicine. Although telemedicine may lead to a similar patient experience, surgeons should maintain a low threshold for follow-up with in-person assessments whenever possible in the absence of further safety data. LEVEL OF EVIDENCE: Level I, therapeutic study.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it