Evidence map›Paper›PMID 36380432›Full record

ArticleHealthcare informatics research2022

Factors Associated with Website Operation among Small Hospitals and Medical and Dental Clinics in Korea.

Young-Taek Park, Young Jae Kim, Kwang Gi Kim

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Article in Healthcare informatics research, 2022. 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Young-Taek ParkHIRA Research Institute, Health Insurance Review & Assessment Service (HIRA), Wonju, Korea.
Young Jae KimDepartment of Biomedical Engineering, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Kwang Gi KimDepartment of Biomedical Engineering, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.

Funding

Gyeonggi province GRRC-Gachon2020 (B01)Information Technology Research CenterInstitute for Information & communications Technology Promotion 2021-2017-0-01630Ministry of Science and ICT
6 · The paper itself

Abstract

objectivesThe objective of this study was to investigate the factors associated with website operation among medical facilities.

methodsA cross-sectional study design was employed to investigate 1,519 hospitals, 33,043 medical clinics (MCs), and 18,240 dental clinics (DCs) as of 2020. The main outcome variable was analyzed according to technological, organizational, and environmental factors.

resultsThe percentages of small hospitals, MCs, and DCs with websites were 26.4%, 9.0%, and 6.6%, respectively. For small hospitals, the nearby presence of a subway station (odds ratio [OR] = 2.772; 95% confidence interval [CI], 1.973-3.892; p < 0.0001) was the only factor significantly associated with website operation status. Among medical and dental clinics, the percentage of specialists-MCs (OR = 1.002; 95% CI, 1.000-1.004; p = 0.0175) and DCs (OR = 1.002; 95% CI, 1.001-1.004; p = 0.0061), the nearby presence of a subway station-MCs (OR = 2.954; 95% CI, 2.613-3.339; p < 0.0001) and DCs (OR = 3.444; 95% CI, 2.945-4.028; p < 0.0001), and the number of clinics in the local area-MCs (OR = 1.029; 95% CI, 1.026-1.031; p < 0.0001) and DCs (OR = 1.080; 95% CI, 1.066-1.093; p < 0.0001)-were significantly associated with website operation.

conclusionsClinics are critically affected by internal and external factors regarding website operation relative to small hospitals. Healthcare policymakers involved with information technologies may need to pay attention to those factors associated with website dispersion among small clinics.

Indexed as

AdoptionInformaticsInternetMedical InformaticsSocial MediaSoftware

Identifiers

PMID36380432
PMCPMC9672489

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