Evidence map›Paper›PMID 40057758›Full record

ArticleBMC health services research2025

Factors associated with patient and health care system delay among migrant and local tuberculosis patients in Istanbul: a cross-sectional study.

Mustafa Ersözlü, Mahmut Lahmuni, Yasser Mdalalh, Moamen Shammoot, Hatice Şen, Ahmet Ferit Hoşnuter, Derya Giakoup, Emine Şeyma Karaketir, Zeki Kılıçaslan

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Article in BMC health services research, 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

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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

9 authors.

Mustafa ErsözlüSchool of Medicine, Department of Chest Diseases, Ankara University, Balkiraz, Mamak/Ankara, 06620, Türkiye. mersozlu@outlook.com.
Mahmut LahmuniIstanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Yasser MdalalhIstanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Moamen ShammootIstanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Hatice ŞenIstanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Ahmet Ferit HoşnuterIstanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Derya GiakoupIstanbul Faculty of Medicine, Department of Public Health, Istanbul University, Istanbul, Türkiye.
Emine Şeyma KaraketirIstanbul Faculty of Medicine, Department of Public Health, Istanbul University, Istanbul, Türkiye.
Zeki KılıçaslanIstanbul Faculty of Medicine, Department of Chest Diseases, Istanbul University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective tuberculosis (TB) management requires timely diagnosis and immediate treatment initiation. The urgency for diagnosing and treating TB is particularly acute among immigrants, who face heightened health risks due to factors such as poverty, hazardous working conditions, and limited healthcare access. The objective of this study was to examine the characteristics of patient and health care delays among migrant and local TB patients in Istanbul and to identify factors associated with delays in the diagnosis and treatment of TB in both migrant and local patients.

methodsThis cross-sectional study was conducted in six Tuberculosis Control Dispensaries (TCDs) in Istanbul, the city with the highest number of TB cases in Turkey. A total of 211 TB patients, including 140 local residents and 71 migrants, participated. Data were collected through interviews via a structured questionnaire and patient files, following the patients' consent.

resultsAmong migrant patients, the time from the onset of TB-related symptoms to the first contact with a health institution (patient delay) was 4.7 times longer (95% Confidence Interval [CI] = 1.1-20.9) than that in local resident patients. Compared with local patients, migrant patients were predominantly male, younger, had lower education levels, had a history of previous TB, and were less likely to smoke. Additionally, the frequency of working without insurance and unemployment was greater among migrant patients than among those employed with insurance.

conclusionOur research underscores the importance of focusing on the migrant community to achieve tuberculosis control goals, potentially through interventions to increase knowledge of healthcare system access and the significance of working conditions, including health insurance. While we profiled migrant TB patients, qualitative research is needed to elucidate the underlying reasons for delays in diagnosis and treatment.

Indexed as

Delayed DiagnosisHealth Services AccessibilityTime-to-TreatmentTransients and MigrantsTuberculosisAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTurkeyYoung AdultDiagnostic delayMigrantsPatient delayTreatment delayTuberculosis

Identifiers

PMID40057758
PMCPMC11889747

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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.