Teleconsultation in the Management of Elective Orthopedic and Spinal Conditions During the COVID-19 Pandemic: Prospective Cohort Study of Patient Experiences
Bibliographic record
Abstract
BACKGROUND: The global adoption of teleconsultation has been expedited as a result of the COVID-19 pandemic. By allowing remote communication, teleconsultation may help limit the spread of the virus while maintaining the crucial patient-provider relationship. OBJECTIVE: The aim of this study is to evaluate the value of teleconsultation compared to in-person visits in the management of elective orthopedic and spinal procedures. METHODS: This was a prospective observational cohort study of 853 patients receiving orthopedic and spinal care at a private outpatient clinic in New Zealand. Patients were randomly divided into two groups: (1) patients receiving telephone consultation remotely, and (2) patients receiving in-person office consultations at the outpatient clinic. All patients received telephone consultations for 4 weeks during the mandated COVID-19 lockdown, followed by 4 weeks of telephone or in-person consultation. Patient preference, satisfaction, and duration of visit were recorded. Comparisons of patient preference between groups, visit type, sex, and location were performed using chi-square tests; similarly, satisfaction scores and visit durations were compared using a general linear model. RESULTS: We report that 91% (353/388) of patients in the telephone group preferred teleconsultation over in-person office visits during the COVID-19 lockdown (P<.001). A combined-group analysis showed that 55.3% (446/807) of all patients preferred teleconsultation compared to 31.2% (252/807) who preferred in-person office visits (P<.001). Patients in the telephone group reported significantly higher satisfaction scores (mean 9.95, SD 0.04, 95% CI 9.87-10.03) compared to patients in the in-person group (mean 9.53, SE 0.04, 95% CI 9.45-9.62; P<.001). Additionally, in-person consultations were significantly longer in duration compared to telephone consultations, with a mean visit time of 6.70 (SE 0.18) minutes, 95% CI 6.32-7.02, compared to 5.10 (SE 0.17) minutes, 95% CI 4.73-5.42 (P<.001). CONCLUSIONS: Patients who use telephone consultations are more likely to prefer it over traditional, in-person visits in the future. This increased preference, coupled with higher patient satisfaction scores and shorter duration of visits, suggests that teleconsultation has a role in orthopedic surgery, which may even extend beyond the COVID-19 pandemic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".