Evidence map›Paper›PMID 41023843›Full record

ArticleBMC primary care2025

Association between prescription patterns and primary care clinic closures in South Korea: A longitudinal retrospective cohort study.

Ha Jin Kim, BeLong Cho, Jae Moon Yun

Abstract read
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Article in BMC primary care, 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

3 authors.

Ha Jin KimDepartment of Family Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
BeLong ChoDepartment of Family Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. belong@snu.ac.kr.
Jae Moon YunDepartment of Family Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. jaemoon2@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary care clinic sustainability affects healthcare service delivery. However, the impact of prescription patterns on primary care clinic sustainability remains unclear. We analyzed the association between prescription patterns of frequently used medications and primary care clinic closures in South Korea.

methodsWe used Korean National Health Insurance Service data on office-based primary care clinics established between 2003 and 2012, and their claims data from January 1, 2002 to December 31, 2015. We assessed the effects of prescription patterns on primary care clinic closures in Korea. Prescription patterns included prescription rates of benzodiazepines and injectable medications for all visits, antibiotics for upper respiratory tract infections, and steroids for musculoskeletal diseases. We calculated these rates for the first year after the establishment of each clinic. We adjusted the association for patient-group- and clinic-related factors over 12 years. We used multivariate Cox proportional hazards regression for analyses.

resultsAmong 14,525 clinics, 4,681 were closed during the observation period. The average follow-up period was 5.3 years. An increase in the benzodiazepine prescription rate was associated with a lower risk of closure (hazard ratio [HR]: 0.87; 95% confidence interval [CI]: 0.82-0.92, per 10% point increase; p < 0.001). Steroid prescriptions for musculoskeletal diseases influenced clinic closure (HR: 0.96; 95% CI: 0.94-0.99, per 10% point increase; p = 0.002). Prescription rates of antibiotics for upper respiratory tract infections (HR: 1.00; 95% CI: 0.98-1.01; p = 0.496) and any injectable medications (HR: 0.99; 95% CI: 0.97-1.01; p = 0.247) did not affect primary care clinic closure.

conclusionsSteroid and benzodiazepine prescriptions were linked to lower clinic closure risk, while antibiotic and injectable prescriptions were not. These findings suggest that evidence-based prescribing may not compromise clinic viability and that appropriate care and sustainability can be achieved together through informed policy.

Indexed as

Ambulatory Care FacilitiesDrug PrescriptionsPractice Patterns, Physicians'Primary Health CareAdultAgedAnti-Bacterial AgentsBenzodiazepinesFemaleHumansLongitudinal StudiesMaleMiddle AgedRepublic of KoreaRespiratory Tract InfectionsRetrospective StudiesAnti-Bacterial AgentsBenzodiazepinesMedicinePrescriptionPrimary health care

Identifiers

PMID41023843
PMCPMC12482020

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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.