Evidence map›Paper›PMID 40132185›Full record

ArticleInteractive journal of medical research2025

Policy Spotlight Effects on Critical Time-Sensitive Diseases: Nationwide Retrospective Cohort Study on Taiwan's Hospital Emergency Capability Categorization Policy.

Chih-Yuan Lin, Chih-Ching Liu, Yu-Tung Huang, Yue-Chune Lee

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Article in Interactive journal of medical 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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5 · Who and what money

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4 authors.

Chih-Yuan LinDepartment of Neurology, Taipei City Hospital Linsen Chinese Medicine Branch, Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-2321-6053
Chih-Ching LiuDepartment of Health Care Management, National Taipei University of Nursing and Health Science, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-9644-3129
Yu-Tung HuangNational Center for Geriatrics and Welfare Research, National Health Research Institutes, Yunlin, Taiwan.ORCID https://orcid.org/0000-0003-3224-7238
Yue-Chune LeeInstitute of Health and Welfare, College of Medicine, Yangming Campus, National Yang Ming Chiao Tung University, Taipei, Taiwan, Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-4116-6563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTaiwan's categorization of hospital emergency capability (CHEC) policy is designed to regionalize and dispatch critical patients. The policy was designed in 2009 to improve the quality of emergency care for critical time-sensitive diseases (CTSDs). The CHEC policy primarily uses time-based quality surveillance indicators.

objectiveWe aimed to investigate the impact of Taiwan's CHEC policy on CTSDs.

methodsUsing Taiwan's 2005 Longitudinal Health Insurance Database, this nationwide retrospective cohort study examined the CHEC policy's impact from 2005 to 2011. Propensity score matching and difference-in-differences analysis within a generalized estimating equation framework were used to compare pre- and postimplementation periods. The study focused on acute ischemic stroke (AIS), ST-segment elevation myocardial infarction (STEMI), septic shock, and major trauma. AIS and STEMI cases, monitored with time-based indicators, were evaluated for adherence to diagnostic and treatment guidelines as process quality measures. Mortality and medical use served as outcome indicators. Major trauma, with evolving guidelines and no time-based monitoring, acted as a control to test for policy spotlight effects.

resultsIn our cohort of 9923 patients, refined through 1:1 propensity score matching, 5566 (56.09%) were male and were mostly older adults. Our analysis revealed that the CHEC policy effectively improved system efficiency and patient outcomes, resulting in significant reductions in medical orders (-7.29 items, 95% CI -10.09 to -4.48; P<.001), short-term mortality rates (-0.09%, 95% CI -0.17% to -0.02%; P=.01) and long-term mortality rates (-0.09%, 95% CI -0.15% to -0.04%; P=.001), and total medical expenses (-5328.35 points per case, 95% CI -10,387.10 to -269.60; P=.04), despite a modest increase in diagnostic fees (376.37 points, 95% CI 92.42-660.33; P=.01). The CHEC policy led to notable increases in diagnostic fees, major treatments, and medical orders for AIS and STEMI cases. For AIS cases, significant increases were observed in major treatments (β=0.77; 95% CI 0.21-1.33; P=.007) and medical orders (β=15.20; 95% CI 5.28-25.11; P=.003) compared to major trauma. In STEMI cases, diagnostic fees significantly increased (β=1983.75; 95% CI 84.28-3883.21; P=.04), while upward transfer rates significantly decreased (β=-0.59; 95% CI -1.18 to -0.001; P=.049). There were also trends toward increased major treatments (β=0.30; 95% CI -0.03 to 0.62, P=.07), medical orders (β=11.92; 95% CI -0.90 to 24.73; P=.07), and medical expenses (β=24,275.54; 95% CI -640.71 to 4,991,991.78; P=.06), although these were not statistically significant. In contrast, no significant changes were identified in process or outcome quality indicators for septic shock. These findings suggest policy spotlight effects, reflecting a greater emphasis on diseases directly prioritized under the CHEC policy.

conclusionsThe CHEC policy demonstrated the dual benefits of reducing costs and improving patient outcomes. We observed unintended consequences of policy spotlight effects, which led to a disproportionate improvement in guideline adherence and process quality for CTSDs with time-based surveillance indicators.

Indexed as

categorization of hospital emergency capabilitydifference-in-differencesemergency carequalitytime-sensitive diseases

Identifiers

PMID40132185
PMCPMC11979550

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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.