Evidence map›Paper›PMID 40767193›Full record

ArticleInternational journal of health policy and management2025

Who Is Most Likely to Experience Corruption When Seeking Healthcare in Nigerian Healthcare Facilities?

Ifunanya Clara Agu, Chukwudi Nwokolo, Obinna Onwujekwe, Martin McKee, Eleanor Hutchinson, Blake Angell, Dina Balabanova

Abstract read
In one paragraph

Article in International journal of health policy and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ifunanya Clara AguHealth Policy Research Group, College of Medicine, University of Nigeria, Enugu, Nigeria.ORCID 0000-0001-9048-064X
Chukwudi NwokoloHealth Policy Research Group, College of Medicine, University of Nigeria, Enugu, Nigeria.
Obinna OnwujekweHealth Policy Research Group, College of Medicine, University of Nigeria, Enugu, Nigeria.ORCID 0000-0002-1214-4285
Martin McKeeLondon School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-0121-9683
Eleanor HutchinsonLondon School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-9718-2407
Blake AngellUniversity of New South Wales Sydney, The George Institute for Global Health, Newtown, NSW, Australia.ORCID 0000-0002-7188-7740
Dina BalabanovaLondon School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-7163-3428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExperiencing corruption when seeking health services remains a significant problem in Nigeria. An effective response requires knowledge of the individual characteristics of those impacted by corruption when seeking healthcare. This study examined the prevalence of corruption among those seeking health services in Nigeria's public healthcare facilities and how it varies among different user groups.

methodsWe used a pre-tested interviewer-administered questionnaire to collect data from 1659 individuals randomly selected from households in two Nigerian states. We collected data on respondents' socio-demographic characteristics and experiences of corrupt practices. We undertook descriptive and binomial logistic regression analyses.

resultsApproximately 50% (823) of respondents experienced corrupt practices, such as using connections for faster treatment and bribery when seeking health services. 446 (27%) respondents bribed or made so-called unapproved payments to health providers to obtain health services. Gender was a strong predictor, with male healthcare service users being more likely to experience corrupt practices (%point risk difference=24; 95% CI=20, 29) and bribe or make an unapproved payment to obtain healthcare (%point risk difference=20; 95% CI=15, 25). Residents in the northern state were (%point risk difference=30; 95% CI=26, 35) more likely to experience corrupt practices than residents in the eastern state. People seeking healthcare in urban (%point risk difference=09; 95% CI=-05, 08) and semi-urban (%point risk difference=12; 95% CI=05, 19) locations were more likely to have bribed or made 'unapproved' payments to healthcare providers compared to rural residents.

conclusionHealth sector corruption, in its various forms, is frequently reported in both northern and southern Nigeria. However, user experience of corruption varies according to socio-demographic characteristics, and this is often insufficiently acknowledged. To combat corrupt practices in both health sectors, anti-corruption initiatives must be tailored to particular groups and settings, addressing specific disadvantages at individual and community levels.

Indexed as

Health FacilitiesPatient Acceptance of Health CareAdolescentAdultFemaleHealth Services AccessibilityHumansMaleMiddle AgedNigeriaSocioeconomic FactorsSurveys and QuestionnairesYoung AdultCorruptionHealth ServicesNigeriaPatients Corruption ExperiencePublic Healthcare Facilities

Identifiers

PMID40767193
PMCPMC12257204

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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.