Evidence map›Paper›PMID 40454348›Full record

ArticleRisk management and healthcare policy2025

Understanding the Utilization of Tertiary Hospitals by Mild Disease Patients: Travel Cost Method Analysis.

Seokmin Ji, Sewon Park, Mankyu Choi, Munjae Lee

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Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Seokmin Ji *Department of Health Policy & Management, College of Public Health Science and Transdisciplinary Major in Learning Health Systems, Graduate School, Korea University, Seoul, South Korea.
Sewon Park *Department of Medical Science, Ajou University School of Medicine, Suwon, South Korea.ORCID 0000-0002-2661-7020
Mankyu Choi *Department of Health Policy & Management, College of Public Health Science and Transdisciplinary Major in Learning Health Systems, Graduate School, Korea University, Seoul, South Korea.
Munjae Lee *Department of Medical Science, Ajou University School of Medicine, Suwon, South Korea.ORCID 0000-0002-9781-4187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Tertiary hospital utilization for patients with mild diseases creates inefficiencies in medical utilization for medical consumers and providers, collapses the healthcare delivery system, and has negative consequences for the public health system. This study aims to identify the factors that lead to the selection of tertiary hospitals and the medical needs of patients with mild diseases. We evaluate the value of using medical institutions by comparing and analyzing regional and individual patient characteristics. Methods: The travel cost method based on the travel cost incurred according to the consumer's temporal choice, was used to evaluate the medical use. We considered data from Ajou University Hospital from 2017 to 2022. The variables used for travel costs are travel costs, time costs, and medical costs. The Quantum Geographic Information System(QGIS) network analysis was used to calculate travel costs and time costs, and independent sample Results: The analysis revealed that travel costs were the highest for patients with diabetes. Regarding personal characteristics, men exhibited higher rates than women, and individuals under 65 years of age and those receiving type 2 medical benefits demonstrated higher travel costs. Travel costs and outpatient visit rates for mild diseases exhibited a direct proportional relationship. We compared the total economic value assessed for each type of mild disease and found the highest value for diabetes patients with the highest number of outpatient visits. Conclusion: These findings highlight the importance of incorporating patient segmentation into policy formulation to alleviate the overcrowding of patients with mild diseases in tertiary care hospitals. Furthermore, they advocate adopting a primary care-centered approach to enhance the healthcare delivery system and address imbalances in community healthcare resources.

Indexed as

experience demand curvehealthcare delivery systemhealthcare utilization valuetertiary hospitalsTravel cost method

Identifiers

PMID40454348
PMCPMC12125545

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