Evidence map›Paper›PMID 41416452›Full record

ArticleJournal of global health2025

Facility newborn and stillbirth data use and enabling factors at different levels of the health system: findings of the IMPULSE study across 142 sites in the Central African Republic, Ethiopia, Tanzania, and Uganda.

Firehiwot Abathun, Paolo Dalena, Rornald Muhumuza Kananura, Jacqueline Minja, Ousman Mouhamadou, Mary Ayele, Louise Tina Day, Francesca Tognon, Lorenzo Giovanni Cora, Ilaria Mariani and 8 more

Abstract read
In one paragraph

Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Firehiwot AbathunDoctors with Africa CUAMM, Addis Ababa, Ethiopia.
Paolo DalenaInstitute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy.
Rornald Muhumuza KananuraDemographic Dynamic and Population Health Unit, African Population and Health Research Center, Dakar, Senegal.
Jacqueline MinjaIfakara Health Institute, Ifakara, Tanzania.
Ousman MouhamadouDoctors with Africa CUAMM, Bangui, Central African Republic.
Mary AyeleDoctors with Africa CUAMM, Addis Ababa, Ethiopia.
Louise Tina DayLondon School of Hygiene & Tropical Medicine, London, UK.
Francesca TognonDoctors with Africa CUAMM, Padua, Italy.
Lorenzo Giovanni CoraInstitute for Maternal and Child Health IRCCS Burlo Garofolo, WHO Collaborating Centre, Trieste, Italy.
Ilaria MarianiInstitute for Maternal and Child Health IRCCS Burlo Garofolo, WHO Collaborating Centre, Trieste, Italy.
Sara GeremiaUniversity of Trieste, Trieste, Italy.
Giovanni PutotoDoctors with Africa CUAMM, Padua, Italy.
Joy Elizabeth LawnLondon School of Hygiene & Tropical Medicine, London, UK.
Tamirat AwelFederal Ministry of Health: Strategic Affairs Executive Office, Addis Ababa, Ethiopia.
Felix BundalaMinistry of Health, Dodoma, Tanzania.
Donat ShambaIfakara Health Institute, Ifakara, Tanzania.
Peter WaiswaDepartment of Health Policy Planning and Management, Makerere University of Public Health, Kampala, Uganda.
Marzia LazzeriniLondon School of Hygiene & Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Improving data quality and use is a priority identified by the World Health Organization (WHO) to reduce stillbirths and newborn deaths; however, few studies have documented newborn and stillbirth data use in the African Region. To address this gap, we conducted a cross-sectional study from November 2022 to July 2024 in 12 regions and four city administrations across the Central African Republic (CAR), Ethiopia, Tanzania, and Uganda. Methods: We collected data using Every Newborn - Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) tools, through direct observation, and from routine electronic and/or paper-based forms and reports. We analysed both the overall and country-level samples following the Performance of Routine Information System Management User's Kit. Results: We assessed 142 sites, comprising 93 health facilities and 49 data offices. Enabling factors, such as electronic systems, guidelines, annual plans, and feedback mechanisms, were highly available in Ethiopia (n/N = 22/30), moderately available in Uganda and Tanzania (n/N = 15/30 and n/N = 12/30), and scarce in the CAR (n/N = 1/30), with key indicators in all countries being ≥80%. Key data-use indicators showed similar patterns across countries, but lower frequencies (Ethiopia: n/N = 15/66; Uganda: n/N = 14/66; Tanzania: n/N = 5/66; the CAR: n/N = 1/66). Decisions documented in meetings rarely focussed on healthcare quality improvement, particularly at the district level (47.1% in Tanzania vs. 44.4% in Uganda vs. 30% in Ethiopia vs. 0% in the CAR). Data dissemination to public representatives was also subpar (40.8% in facilities, 71.4% in subnational offices). Among 141 end-users, 100% of respondents in the CAR, 75-82.4% in Tanzania and Uganda expressed the need to improve the newborn and stillbirth data use compared to 16.7-21.7% in Ethiopia. Conclusions: Newborn and stillbirth data use was low, despite variations across countries and health system levels. Evidence-based decision-making in health service delivery remains a priority action to reduce stillbirths and newborn deaths. This study identified context-specific, sustainable, and scalable interventions co-created with end-users to ensure wider newborn and stillbirth data use.

Indexed as

Health FacilitiesStillbirthCentral African RepublicCross-Sectional StudiesEthiopiaFemaleHumansInfant, NewbornPregnancyTanzaniaUganda

Identifiers

PMID41416452
PMCPMC12715746

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.