Helping babies breathe: assessing the effectiveness of simulation-based high-frequency recurring training in a community-based setting of Pakistan
Notice bibliographique
Résumé
BACKGROUND: Birth asphyxia is one of the significant causes of neonatal deaths in Pakistan. Poor newborn resuscitation skills of birth attendants are a major cause of neonatal mortality in low resource settings across the globe. This study aimed to evaluate the effectiveness of the Simulation-Based High-Frequency training of the Helping Babies Breathe for Community Midwives (CMW), in district Gujrat, Pakistan. METHOD: A pre-post-test interventional study design was used. The universal sampling technique was employed to recruit 50 deployed CMWs in the entire district of Gujrat. The pre-tested module and tools of Helping Babies Breathe (2nd edition) were used in the intervention. Using the High Frequency training approach, three one-day training sessions were conducted for CMWs at an interval of 2 months. During the 2 months interval, participants were monitored and supported to practice their skills at their birthing centers. Knowledge and skills were assessed before and after each session. The McNemar and Cochran's Q tests were applied for data analysis. Participants' feedback was also obtained at the end of each training, which was analyzed through descriptive statistics. RESULTS: Data from 34 CMWs were analyzed as they completed all three training sessions and assessments. The results were statistically different after each training session for OSCE B (p-value < 0.05). However, for knowledge and OSCE A, significant improvement was observed after training sessions 1 and 2 only. Pairwise comparison showed that pre-assessment at training 1 was significantly different from most of the repeated measures of knowledge, OSCE A, and OSCE B. Moreover, the learners appreciated the overall training in terms of organization, content, material, assessment, and overall competency. Additionally, due to a small sample size of the CMWs, and a short time of the intervention, significant differences in morbidity and mortality outcomes could not be detected. CONCLUSION: The study concluded that a series of training and continuous supportive supervision and facilitation enhances Helping Babies Breathe (HBB) knowledge retention and skills. The study recommends, periodic, structured and precise HBB trainings, with ongoing quality monitoring activities through blended learning modalities would help sustain and scale-up the intervention.
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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 | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».