Cost of community-based human papillomavirus self-sampling in Peru: A micro-costing study
Bibliographic record
Abstract
Background: Cost data of human papillomavirus (HPV) self-sampling programs from low-and-middle-income countries is limited. We estimated the total and unit costs associated with the Hope Project, a community-based HPV self-sampling social entrepreneurship in Peru. Methods: We conducted a micro-costing analysis from the program perspective to determine the unit costs of (1) recruitment/training of community women (Hope Ladies); (2) Hope Ladies distributing HPV self-sampling kits in their communities and the laboratory testing; and (3) Hope Ladies linking screened women with follow-up care. A procedural manual was used to identify the program's activities. A structured questionnaire and in-depth interviews were conducted with administrators to estimate the resource/time associated with activities. We obtained unit costs for each input previously identified from budgets and expenditure reports. Findings: From November 2018 to March 2020, the program recruited and trained 62 Hope Ladies who distributed 4,882 HPV self-sampling kits in their communities. Of the screened women, 586 (12%) tested HPV positive. The annual cost per Hope Lady recruited/trained was $147·51 (2018 USD). The cost per HPV self-sampling kit distributed/tested was $45·39, the cost per woman followed up with results was $55·64, and the cost per HPV-positive woman identified was $378·14. Personnel and laboratory costs represented 56·1% and 24·7% of the total programmatic cost, respectively. Interpretation: Our findings indicate that implementation of a community-based HPV self-sampling has competitive prices, which increases its likelihood to be feasible in Peru. Further economic evaluation is needed to quantify the incremental benefits of HPV self-sampling compared to more established options such as Pap tests. Funding: Thomas Francis Jr. Fellowship provided funding for data collection. The Hope Project was funded by grants from Grand Challenges Canada (TTS-1812-21131), Uniting for Health Innovation, Global Initiative Against HPV and Cervical Cancer, University of Manitoba, and the John E. Fogarty International Center (5D43TW009375-05).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".