Resilience of the medical mission model: assessment of the perceived impact of the COVID-19 pandemic on short-term medical missions to Latin America and the Caribbean
Bibliographic record
Abstract
Background COVID-19-related travel restrictions profoundly impacted short-term medical missions (STMMs) abroad. This study describes the effect of the pandemic as perceived by STMM organisations serving Latin America and the Caribbean (LAC). Methods Information was updated for 359 primary care STMM organisations previously active in 2015, which were contained within an existing online database. Organisations were contacted to complete an online survey that gathered quantitative and qualitative descriptions of pandemic-related adaptations and program changes. Results 22.5% (73/324) of previously active organisations had no website activity since 2020 or earlier, no longer existed, or had unclear website activity. Eighty-seven organisations responded to the survey. Ninety-six percent indicated that they would definitely (72/86, 84%) or probably (10/86, 12%) return to sending STMMs in the next five years, and most (46/83, 55%) of these intended to send an STMM within the next six months. Seventy-two respondents (93%) reported new adaptations, including direct funding for local healthcare professionals, sending equipment to host communities, focusing on training and teaching, and incorporating virtual care and electronic medical records. Conclusions The results demonstrate resilience, flexibility and optimism among STMM organisations and an intent to return to pre-pandemic programming rapidly.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".