The Impact of the COVID-19 Pandemic on Case Volume and Wait Times of Elective Hand Procedures: A Retrospective Chart Review Study
Bibliographic record
Abstract
Introduction: The COVID-19 pandemic has decreased the number of surgeries performed in North America. The purpose of this study was to compare the number of elective hand surgeries performed during the pandemic to a corresponding pre-pandemic time period and to quantify the impact to the surgical backlog in hand surgery. Methods: Patient health records for individuals who underwent surgical management of carpal tunnel syndrome (CTS), Dupuytren's disease (DD) or stenosing tenosynovitis (time periods: March 11, 2018 to July 1, 2019 [pre-pandemic] and March 11, 2020 to July 1, 2021 [pandemic]) were retrieved from two academic institutions. The primary outcome was number of surgeries performed in each time period. Secondary outcomes included wait times for each time period; and variables as predictors of wait times, including a) age; b) gender; c) socioeconomic status; d) geographic location; and, e) comorbidities. Results: Seven-hundred-and-fifteen cases were included (447 CTR cases, 135 fasciotomy/subtotal palmar fasciectomy cases and 133 pulley release/tendon release cases). Two-hundred-and-sixty-four elective hand procedures were performed during the COVID-19 time period, compared to 451 in the pre-pandemic time period (n = 187 surgeries, 41.5%). Mean surgical wait times decreased for CTS and DD and increased for stenosing tenosynovitis during the pandemic compared to the corresponding pre-pandemic time period. No association or variation in wait times was found in regard to the aforementioned variables. Conclusions: During the pandemic, a decreased total number of elective hand surgeries were performed when compared to the corresponding pre-pandemic period. This contributes to a backlog of elective surgical procedures.
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How this classification was reachedexpand
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 | 0.002 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".