Evidence map›Paper›PMID 38336733›Full record

ArticleBMC health services research2024

Individual and community-level factors associated with women's utilization of postnatal care services in Uganda, 2016: a multilevel and spatial analysis.

Moses Festo Towongo, Enock Ngome, Kannan Navaneetham, Gobopamang Letamo

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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Moses Festo TowongoFaculty of Social Sciences, Department of Population Studies, University of Botswana, Gaborone, Botswana. mtowongo@yahoo.com.
Enock NgomeFaculty of Social Sciences, Department of Population Studies, University of Botswana, Gaborone, Botswana.
Kannan NavaneethamFaculty of Social Sciences, Department of Population Studies, University of Botswana, Gaborone, Botswana.
Gobopamang LetamoFaculty of Social Sciences, Department of Population Studies, University of Botswana, Gaborone, Botswana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver time, Uganda has experienced high levels of maternal mortality (435 deaths per 100,000 live births in 2006 to 336 deaths per 100,000 live births in 2016). The persistence of high levels of maternal mortality jeopardizes the achievement of Sustainable Development Goal (SDG) 3.1, which calls for reducing maternal mortality to 70 deaths per 100,000 live births by 2030. Conversely, the utilization of postnatal care (PNC) services in Uganda remained very low and has varied across regions. This study examined the individual and community-level factors influencing women's utilization of postnatal care services in Uganda.

methodsSecondary data from the 2016 Uganda Demographic and Health Survey (UDHS) were used in this study. The study population consisted of women aged 15 to 49 who reported giving birth in the five years preceding the 2016 UDHS survey. The factors associated with postnatal care services were identified using multilevel binary logistic regression and spatial analysis.

resultsThe result shows that the prevalence of postnatal care service utilization in Uganda was low (58.3%) compared to the World Health Organization (WHO) target of 100%. The univariate analysis shows that 13.7% of women were adolescents, 79% were of higher parity, and 70.4% had primary/no formal education, of which 76.6% resided in rural areas. On the other hand, the multilevel analysis results showed that women aged 20-29 years and 30-39 years were also found to be more likely to use PNC services (AOR = 1.2, 95% CI: 1.01-1.47). Women who received quality ANC (AOR = 2.1, 95% CI: 1.78-2.36) were more likely to use postnatal care services than their counterparts. At the community level, women who lived in media-saturated communities were more likely to use postnatal care services (AOR = 1.3, 95% CI: 1.01-1.65). The spatial analysis found that the Central, Eastern, and Northern regions were the areas of hotspots in the utilization of postnatal care services.

conclusionThis study found that age, parity, level of education, place of residence, employment status, quality of the content of antenatal care, and community media saturation were the predictors of postnatal care service utilization. The spatial analysis showed that the spatial distributions of postnatal care service utilization were significantly varied across Uganda. The government must expand access to various forms of media throughout the country to increase PNC utilization.

Indexed as

Maternal Health ServicesPostnatal CareAdolescentEducational StatusFemaleHumansMultilevel AnalysisPatient Acceptance of Health CarePregnancyPrenatal CareSpatial AnalysisUgandaIndividual and community level factorsPostnatal care services utilizationSpatial analysisUganda

Identifiers

PMID38336733
PMCPMC10858510

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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.