Anonymised data for: "Predictors of change of health workers’ knowledge and skills after the Helping Mothers Survive Bleeding after Birth (HMS BAB) in-facility training in Tanzania"

Alwy Al-beity, F, Pembe, AB, Marrone, G, Baker, U and Hanson, CORCID logo (2020). Anonymised data for: "Predictors of change of health workers’ knowledge and skills after the Helping Mothers Survive Bleeding after Birth (HMS BAB) in-facility training in Tanzania". [Dataset]. PLOS One. https://doi.org/10.1371/journal.pone.0232983.s006
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Background: Our study aimed to assess the effect of Helping Mothers Survive Bleeding after Birth on knowledge and skills of health workers and whether such effect varies by health workers characteristics. Methods: Nested in a cluster-randomised trial to assess the effect of the training on health outcomes, we assessed changes in knowledge and simulated skills in 61 facilities. The assessments were done i) before, ii) immediately-after training session and iii) at 10-month follow-up for subset of health-workers of implementation facilities as defined by the trial. We used a self-administered questionnaire and Objective Structures Clinical Examinations to assess three skill sets: Active Management of Third Stage of Labour, removal of retained placenta and management of severe postpartum haemorrhage. We computed summary statistics and used the paired t-test to assess change of knowledge and skills immediately post-training and at 10-month follow-up. Linear regression was done to assess association of scores and health worker characteristics.

Keywords

Labor and delivery, Professions, Medical doctors, Social systems, Hemorrhage, Linear regression analysis, Postpartum hemorrhage, Cluster trials


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