Evidence map›Paper›PMID 42890662›Full record

ArticleFrontiers in public health2026

Pathways and barriers to tuberculosis care for refugees in Taraba State, Nigeria.

Anna Versfeld, Suraj Abdulkarim, Stephen John, Abdulmujib Abdulkarim, Caoimhe Smyth

Abstract read
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Article in Frontiers in public health, 2026. 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

5 authors.

Anna VersfeldDepartment of Sociology and Anthropology, Nelson Mandela University, Gqeberha, South Africa.
Suraj AbdulkarimSufabel Community Development Initiative, Gombe, Nigeria.
Stephen JohnJanna Health Foundation, Yola, Nigeria.
Abdulmujib AbdulkarimIndependent Consultant, Gombe, Nigeria.
Caoimhe SmythStop TB Partnership, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Refugee and displaced populations experience high tuberculosis (TB) burdens and face substantial barriers to accessing diagnosis and treatment. Taraba State in north-eastern Nigeria hosts approximately 80,000 refugees, primarily from Cameroon, many living in remote areas with limited TB services. Evidence on how refugees access TB care in this setting remains limited. This study examined the pathways refugees follow from symptom onset to TB diagnosis and identified barriers to accessing and sustaining care. Methods: A mixed-methods study was conducted between May 2022 and December 2023 in Sardauna, Gashaka, and Kurmi Local Government Areas of Taraba State. Qualitative data included semi-structured interviews with 41 people receiving TB treatment, eight family members, eight community and religious leaders, and eight facilitated discussions with healthcare workers and people affected by TB. Quantitative data were collected through a 15-item Likert-scale questionnaire administered to 130 people receiving TB treatment. Qualitative data were thematically analyzed, while quantitative data were analyzed descriptively. Results: Refugees described prolonged and complex pathways to TB diagnosis. Symptoms were often initially attributed to common illnesses, leading most participants to first seek care from patent medicine vendors or traditional providers. Misdiagnoses across sectors contributed to substantial delays, with a median time to diagnosis of 7 months and longer delays among women. Participants reported high out-of-pocket expenditures before diagnosis. Our sample focused on people who received a TB diagnosis. The tenacity, resources, and resilience for diagnosis they described suggest that many others likely went undiagnosed. Major barriers to accessing and sustaining care included food insecurity, transport and healthcare costs, anticipated stigma, language barriers, long distances to facilities, poor facility conditions, and negative experiences with healthcare providers. Discussion: Refugees in Taraba State navigate long, costly, and often arduous journeys before receiving a TB diagnosis, frequently consulting multiple providers and exhausting scarce resources in the process. Multiple, gendered barriers to care make continued care access an ongoing challenge. These findings underscore both the persistence of people seeking care and the systemic barriers that shape access to TB services. Without addressing these structural constraints, earlier diagnosis and equitable TB care for displaced populations will remain difficult to achieve.

Indexed as

Health Services AccessibilityRefugeesTuberculosisAccess to Primary CareAdultFemaleHumansInterviews as TopicMaleMiddle AgedNigeriaQualitative Researchbarriers to carecare seekinghealth systemsrefugeesstigmatuberculosis

Identifiers

PMID42890662
PMCPMC13672008

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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.