Reinvigorating postpartum intrauterine contraceptive device use in Pakistan: an observational assessment of competency-based training of health providers using low-cost simulation models
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».