Trial reportTrials2017
The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial.
Trial report in Trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02468310 (Evaluating the Effects of Clinical Decision Making Support Systems on Maternal and Neonatal Mortality and Morbidity in Ghana), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluating the Effects of Clinical Decision Making Support Systems on Maternal and Neonatal Mortality and Morbidity in Ghana: a Cluster Randomized Controlled Trial
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- mHealth interventions to reduce maternal and child mortality in Sub-Saharan Africa and Southern Asia: A systematic literature review.Frontiers in global women's health · 2022Pooled it
- Can an mhealth clinical decision-making support system improve adherence to neonatal healthcare protocols in a low-resource setting?BMC pediatrics · 2020Trial
- Digital Health as an Enabler of Personalized Medicine in Ghana: Gaps, Opportunities, and Future Directions.Journal of medical Internet research · 2026Article
- Integrated Digital Decision-Making Systems in Maternal Nursing and Maternity Care: A Scoping Review.Journal of multidisciplinary healthcare · 2026Review
- Acceptability and operational feasibility of community health worker-led home phototherapy treatment for neonatal hyperbilirubinemia in rural Bangladesh.BMC pediatrics · 2024Article
- Effect of Internet + continuous midwifery service model on psychological mood and pregnancy outcomes for women with high-risk pregnancies.World journal of psychiatry · 2023Article
- Observational
- Mobile Phone App Use Among Pregnant Women in China and Associations Between App Use and Perinatal Outcomes: Retrospective Study.JMIR formative research · 2022Article
- The effect of a decision-support mHealth application on maternal and neonatal outcomes in two district hospitals in Rwanda: pre - post intervention study.BMC pregnancy and childbirth · 2022Article
- Insights into the design, development and implementation of a novel digital health tool for skilled birth attendants to support quality maternity care in Kenya.Family medicine and community health · 2021Article
- The effect of an mHealth clinical decision-making support system on neonatal mortality in a low resource setting: A cluster-randomized controlled trial.EClinicalMedicine · 2019Article
- Using Mobile Health to Support Clinical Decision-Making to Improve Maternal and Neonatal Health Outcomes in Ghana: Insights of Frontline Health Worker Information Needs.JMIR mHealth and uHealth · 2019Article
- How and why front-line health workers (did not) use a multifaceted mHealth intervention to support maternal and neonatal healthcare decision-making in Ghana.BMJ global health · 2019Article
- Role of Usual Healthcare Combined with Telemedicine in the Management of High-Risk Pregnancy in Hangzhou, China.Journal of healthcare engineering · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundMobile health (mHealth) presents one of the potential solutions to maximize health worker impact and efficiency in an effort to reach the Sustainable Development Goals 3.1 and 3.2, particularly in sub-Saharan African countries. Poor-quality clinical decision-making is known to be associated with poor pregnancy and birth outcomes. This study aims to assess the effect of a clinical decision-making support system (CDMSS) directed at frontline health care providers on neonatal and maternal health outcomes. METHODS/
designA cluster randomized controlled trial will be conducted in 16 eligible districts (clusters) in the Eastern Region of Ghana to assess the effect of an mHealth CDMSS for maternal and neonatal health care services on maternal and neonatal outcomes. The CDMSS intervention consists of an Unstructured Supplementary Service Data (USSD)-based text messaging of standard emergency obstetric and neonatal protocols to providers on their request. The primary outcome of the intervention is the incidence of institutional neonatal mortality. Outcomes will be assessed through an analysis of data on maternal and neonatal morbidity and mortality extracted from the District Health Information Management System-2 (DHIMS-2) and health facility-based records. The quality of maternal and neonatal health care will be assessed in two purposively selected clusters from each study arm. DISCUSSION: In this trial the effect of a mobile CDMSS on institutional maternal and neonatal health outcomes will be evaluated to generate evidence-based recommendations for the use of mobile CDMSS in Ghana and other West African countries.
trial registrationClinicalTrials.gov, identifier: NCT02468310 . Registered on 7 September 2015; Pan African Clinical Trials Registry, identifier: PACTR20151200109073 . Registered on 9 December 2015 retrospectively from trial start date.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.