Evidence map›Paper›PMID 37529501›Full record

ArticleThe East African health research journal2023

Assessment of Safe Motherhood Health Service Coverage, Birth Defects Detection and Child Disability Prevention Using Lot Quality Assurance Sampling in Central Uganda.

Edith Akankwasa, Willy Kamya, Moses Sendijja, Janet Mudoola, Mathias Lwenge, Robert Anguyo Ddm Onzima, Daniel Kasozi, Peter Byansi, Simon Peter Katongole

Abstract read
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Article in The East African health research journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Edith AkankwasaMildmay Institute of Health Sciences, Kampala, Uganda.
Willy KamyaMildmay Institute of Health Sciences, Kampala, Uganda.
Moses SendijjaMildmay Institute of Health Sciences, Kampala, Uganda.
Janet MudoolaMildmay Institute of Health Sciences, Kampala, Uganda.
Mathias LwengeMildmay Institute of Health Sciences, Kampala, Uganda.
Robert Anguyo Ddm OnzimaDepartment of International Public Health, Monitoring, Evaluation, Technical Assistance and Research (METRe) Group, Liverpool School of Tropical Medicine (LSTM), Liverpool, United Kingdom.
Daniel KasoziThe United States Agency for International Development, US Embassy, Kampala Uganda.
Peter ByansiSchool of Public Health, Gudie University Project, Kampala, Uganda.
Simon Peter KatongoleSchool of Public Health, Gudie University Project, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: It is crucial to have satisfactory coverage of safe motherhood services in order to prevent birth defects and child disabilities. Mildmay Uganda Institute of Health Sciences (MIHS) implemented a safe motherhood project aimed at preventing birth defects and child disabilities. Methods: Three years after the project's implementation, a rapid cross-sectional health facility survey was conducted in 4 districts of central Uganda to assess the coverage of key safe motherhood and early childhood services. The Lot Quality Assurance Sampling approach was used to assess coverage of 16 indicators in the areas of ANC, skilled birth attendance, early childhood care, postnatal care, and knowledge about child disability prevention. A Decision Rule was set at 80% upper threshold to classify the performance of health facilities at the district level. Results: The survey found that there was variation in performance across indicators and districts. All districts achieved the 80% coverage target in ANC first visit, mothers who received at least two doses of Fansidar for intermittent preventive treatment of malaria in pregnancy, and mothers with knowledge of the action to take in case they suspect childhood disability. Folic acid supplementation during pregnancy and screening for birth defects using the Appearance, Pulse, Grimace, Activity, and Respiration (APGAR) score had overall coverage above the target, but one district each had coverage below target in each of these 2 indicators. The coverage target was not reached in the rest of the survey indicators in each of the districts. Conclusion: Well-performing districts, especially in indicators with inconsistent performance, offer valuable insights for learning and adapting interventions in districts that do not meet the desired coverage of those particular indicators. Considering the disparities in performance among different indicators and districts, project planners should adopt, modify and implement successful strategies in districts and indicators that perform well. By doing so, they can enhance the performance of under performing districts or indicators.

Identifiers

PMID37529501
PMCPMC10388642

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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.