Evidence map›Paper›PMID 42074349›Full record

ArticleInternational journal of environmental research and public health2026

Short-Term Repeat Healthcare Visits and Area-Level Inequalities in a Primary Care-Centered Health System.

Beyza Arpaci Saylar, Bekir Aktura, Mehmet Burhan Küçükoğlu

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Article in International journal of environmental research and 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

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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

3 authors.

Beyza Arpaci SaylarEyüpsultan District Health Directorate, 34050 Istanbul, Türkiye.ORCID 0000-0002-5810-115X
Bekir AkturaDepartment of Public Health, Istanbul Provincial Directorate of Health, 34142 Istanbul, Türkiye.
Mehmet Burhan KüçükoğluDepartment of Public Health, Istanbul Provincial Directorate of Health, 34142 Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrequent and short-term repeat visits place significant pressure on primary care-centered health systems, particularly in large metropolitan areas. Istanbul, with its high population density and heterogeneous sociodemographic profile, presents a unique context for understanding short-interval healthcare utilization dynamics.

objectiveTo examine short-term repeat healthcare utilization following an index primary care visit and to explore how district-level population and socioeconomic characteristics shape early post-visit care-seeking dynamics in a large metropolitan setting.

methodsThis retrospective cohort study analyzed protocol records from 225 randomly selected FMUs across Istanbul. A total of 11,101 individuals who presented on 7 July 2025 were followed for 21 days, during which 26,743 healthcare contacts (index family medicine unit visits, recurrent FMU visits, and secondary/tertiary care visits) were captured. FMU repeat visits, higher-level utilization, district-level population density, and socioeconomic development level (SEGE-2022) were analyzed using descriptive statistics and district-level comparative analyses.

resultsDuring the 21-day follow-up period, participants generated a total of 26,743 healthcare contacts. Across the full cohort, the median number of recurrent FMU visits was 0 (IQR 0-1), and the median number of secondary/tertiary visits was 0 (IQR 0-1). Among individuals who had repeat contacts, the median number of recurrent FMU visits was 1 (IQR 1-2), and the median number of secondary/tertiary visits was 1 (IQR 1-2). Repeat visits clustered in the first 7 days, whereas higher-level visits increased between days 10-21. Districts with lower SEGE status and high population density (e.g., Esenyurt, Bağcılar, Pendik, Küçükçekmece, Ümraniye) exhibited markedly higher repeat visit intensity. Spatial patterns indicated substantial clustering in western and socioeconomically disadvantaged districts. Multivariable regression analysis showed that visitor patient status was associated with higher secondary/tertiary care utilization (OR = 1.14, 95% CI 1.04-1.24), while higher SEGE scores were modestly associated with increased repeat FMU visits.

conclusionsShort-term repeat visits in Istanbul appear to be influenced not only by clinical needs but also by broader contextual factors such as socioeconomic disadvantage, population density, and health system organization. These findings suggest potential structural pressures within Türkiye's primary care-centered system and highlight the potential value of district-specific interventions.

Indexed as

Healthcare DisparitiesPatient Acceptance of Health CarePrimary Health CareAccess to Primary CareFemaleHumansMaleMiddle AgedRetrospective StudiesSocioeconomic Disparities in HealthSocioeconomic FactorsTurkeyfrequent attendershealthcare utilizationprimary carerepeat visitsSEGE indexsocioeconomic inequalitiesurban health systems

Identifiers

PMID42074349
PMCPMC13116485

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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.