Reinvigorating postpartum intrauterine contraceptive device use in Pakistan: an observational assessment of competency-based training of health providers using low-cost simulation models
Bibliographic record
Abstract
BACKGROUND: Improved training approaches have the potential to overcome barriers to the use of postpartum intrauterine devices (PPIUDs) in Pakistan, including a shortage of female providers who are able to insert the device. This study assessed the effectiveness and acceptability of a competency-based onsite training approach that employed a newly developed anatomic model (the Mama-U) to train doctors and midwives on postpartum family planning (PPFP) and the insertion of PPIUDs. METHODS: An observational, mixed methods study conducted training evaluations and knowledge and skills assessments with 11 trainers and 88 doctors and midwives who participated in eight PPIUD training sessions. Two months later, follow-up interviews and clinical assessments were conducted with 20 providers, and interviews and a focus group discussion were conducted with 85 married women who received a PPIUD from a trained provider. RESULTS: The training significantly improved provider knowledge (p < 0.001), and follow-up assessments showed that clinical skills were retained for at least two months post-training. After training, 81.8% of providers were confident in their ability to provide PPIUD services, and midwives and doctors had similar PPIUD insertion skills. However, midwives were more likely than doctors to meet all 10 key requirements during PPIUD counseling sessions (63.9% versus 13.3%, p = 0.004). Providers found the Mama-U model to be a useful tool for client counseling as well as training and skills practice, and clients agreed. Trainers identified the low cost, light weight, and portability of the Mama-U model as advantages over the conventional training model and noted that its abstract shape reduced embarrassment among trainers, providers, and clients. CONCLUSIONS: Competency-based training with the Mama-U model can improve the quality of PPIUD counseling and PPIUD insertion services and has the potential to extend PPFP/PPIUD service delivery to midwives working in rural Pakistan. The portable, low-cost Mama-U permits onsite, on-the-job PPIUD insertion training that is tailored to the local setting; it is also well suited for the continuing practice that providers need to maintain their skills. Further research is needed to confirm the usefulness and cost-effectiveness of the Mama-U at scale and in other settings.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".