The effect of an mHealth clinical decision-making support system on neonatal mortality in a low resource setting: A cluster-randomized controlled trial

EClinicalMedicine
Hannah Brown AmoakohEvelyn K Ansah

Abstract

MHealth interventions promise to bridge gaps in clinical care but documentation of their effectiveness is limited. We evaluated the utilization and effect of an mhealth clinical decision-making support intervention that aimed to improve neonatal mortality in Ghana by providing access to emergency neonatal protocols for frontline health workers. In the Eastern Region of Ghana, sixteen districts were randomized into two study arms (8 intervention and 8 control clusters) in a cluster-randomized controlled trial. Institutional neonatal mortality data were extracted from the District Health Information System-2 during an 18-month intervention period. We performed an intention-to-treat analysis and estimated the effect of the intervention on institutional neonatal mortality (primary outcome measure) using grouped binomial logistic regression with a random intercept per cluster. This trial is registered at ClinicalTrials.gov (NCT02468310) and Pan African Clinical Trials Registry (PACTR20151200109073). There were 65,831 institutional deliveries and 348 institutional neonatal deaths during the study period. Overall, 47 ∙ 3% of deliveries and 56 ∙ 9% of neonatal deaths occurred in the intervention arm. During the intervention period, neo...Continue Reading

Citations

Aug 22, 2020·Yearbook of Medical Informatics·Meryl BloomrosenUNKNOWN Section Editors for the IMIA Yearbook Section on Health Information Management
Jul 28, 2021·The Cochrane Database of Systematic Reviews·Smisha AgarwalSimon Lewin

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Methods Mentioned

BETA
NMR
cesarean sections
Cesarean

Clinical Trials Mentioned

NCT02468310

Software Mentioned

Stata
mHealth

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