Impact of the training, support and access model (TSAM) on patient health outcomes in Rwanda: controlled longitudinal study
Notice bibliographique
Résumé
Abstract Achieving maternal and newborn health (MNH) related Sustainable Development Goal targets will require high-quality health systems in low– and middle-income countries. While over 90% of deliveries in Rwanda take place in health facilities, maternal and neonatal mortality rates remain high. In an effort to bolster quality of care provided to women and newborns to ultimately reduce morbidity and mortality, the Training, Support and Access Model (TSAM) clinical mentorship was established in 10 district hospitals in Rwanda in 2017. We evaluated the impact of the TSAM clinical mentorship intervention on maternal and newborn health outcomes. We used monthly time series data from the DHIS2-enabled Rwanda health management information system from February 2014 to February 2020 to assess the impact of the TSAM intervention on outcomes of care for MNH in intervention hospitals relative to concurrent control hospitals. Using a controlled quasi-experimental interrupted time series analysis, we estimated changes in rates of inpatient mortality and morbidity for MNH associated with the implementation of the TSAM clinical mentorship. The study cohort included 25 hospitals (10 TSAM hospitals and 15 control hospitals) that collectively reported 339,850 hospital deliveries and 94,584 neonatal hospital admissions. We found that the implementation of the TSAM clinical mentorship intervention was associated with a two-years reduction of 84% in the obstetrical complication case fatality rate, 32% in hospital neonatal mortality rate, 30% in postpartum hemorrhage incidence rate, and 48% in neonatal asphyxia incidence rate in TSAM hospitals relative to control hospitals. However, the stillbirth rate did not decline following the TSAM intervention. We found that a quality improvement strategy that employed continuous quality improvement approaches using onsite clinical mentorship of health providers along with involvement of health facility leadership to facilitate the improvement was associated with improvements in MNH in Rwanda. Our findings provide evidence that can justify the scale up of TSAM across the country and potentially in other similar settings. Summary box What is already known? Poor quality of healthcare is currently a bigger driver of excess maternal and neonatal mortality than under-utilization of health facilities in many low– and middle-income countries (LMICs). Achieving maternal and newborn health related Sustainable Development Goal targets will require high-quality health systems in LMICs. What does this study add? The Training, Support and Access Model (TSAM) clinical mentorship implemented in 10 Rwandan district hospitals to bolster quality of care provided to women and newborns was associated with a reduction in in-hospital maternal and newborn deaths. However, the (intrapartum) stillbirth rate did not decline following the TSAM intervention. The TSAM intervention was associated with a significant decline in in-hospital maternal and neonatal morbidity (e.g., incidence of postpartum hemorrhage and neonatal asphyxia). What do the new findings imply? Employing continuous quality improvement approaches using onsite clinical mentorship of health providers along with involvement of health facility leadership to facilitate the improvement can be an effective strategy to improve maternal and newborn health outcomes. Quasi-experimental methods leveraging routine health information systems data can be useful to study impact of health system improvement interventions in low-resource settings.
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Prédiction machine sur la base complète
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».