Novel Strategy of Training the Accredited Social Health Activists via Application-Based Telemedicine for Cervical Cancer Screening by Human Papillomavirus Self-Sampling: The TRACK Study
Bibliographic record
Abstract
PURPOSE: This pilot study is aimed to analyze a novel strategy of cervical cancer screening by training of Accredited Social Health Activist (ASHA) workers via telemedicine to counsel women for human papillomavirus (HPV) self-sampling. MATERIALS AND METHODS: This is a pilot, community-based, prospective, single-arm study. Physicians trained the ASHA workers regarding self-sampled HPV testing via a mobile application and telephonically using videos and e-pamphlets, who in turn trained the clients in community. The HPV kits were transported via prepaid courier service. RESULTS: Four hundred and sixty-five women of age group 30-65 years were tested by 47 teletrained ASHA workers. The mean age of ASHA worker and clients was 39.47 ± 6.45 and 37.26 ± 8.38 years, respectively. Of the ASHA workers, 91.7% were satisfied with the information provided during telecounseling, 95.7% could understand the contents of mobile app easily, and 93.6% could fill the data of clients in app easily. Of the clients, 99.6% were satisfied with counseling by ASHA workers and 98% found it easy to self-sample. The acceptability of this strategy among clients was 58.2%. The feasibility of this strategy (percentage of clients who find it easy/those who did self-sampling) was around 99%. Among those screened, 11.8% were high-risk HPV-positive and 85.5% had follow-up at the study center. CONCLUSION: The current study highlights a novel strategy of cervical cancer screening by incorporating the role of telemedicine in training ASHA workers and their role in improving the screening by home-based delivery of HPV kits with promising results.
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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 | 0.001 | 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".