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Original Articles
- The Impact of COVID-19 on Admissions and In-hospital Mortality of Patients With Stroke in Korea: An Interrupted Time Series Analysis
- Youngs Chang, Soo-Hee Hwang, Haibin Bai, Seowoo Park, Eunbyul Cho, Dohoung Kim, Hyejin Lee, Jin Yong Lee
- J Prev Med Public Health. 2025;58(1):60-71. Published online October 28, 2024
- DOI: https://doi.org/10.3961/jpmph.24.432
- 802 View
- 142 Download
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Abstract
Summary
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Supplementary Material - Objectives
This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on admission rates and in-hospital mortality among patients with ischemic and hemorrhagic stroke.
Methods
We constructed a dataset detailing the monthly hospitalizations and mortality rates of inpatients with stroke from January 2017 to December 2021. Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients.
Results
The number of ischemic stroke admissions decreased by 18.5%, from 5335 to 4348, immediately following the COVID-19 outbreak (p<0.001). The in-hospital mortality rate for ischemic stroke increased slightly from 3.3% to 3.4% immediately after the outbreak, although it showed a decreasing trend over time. The number of hemorrhagic stroke admissions fell by 7.5%, from 2014 to 1864, immediately following the COVID-19 outbreak. The 30-day in-hospital mortality rate for hemorrhagic stroke initially decreased from 12.9% to 12.7%, but subsequently showed an increasing trend.
Conclusions
We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. The admission rate for both ischemic and hemorrhagic strokes decreased, while in-hospital mortality increased. Specifically, in-hospital mortality from ischemic stroke rose initially after the outbreak before stabilizing. Additionally, our findings indicate variable effects based on sex, age, and socioeconomic status, suggesting that certain groups may be more susceptible. This underscores the need to identify and support vulnerable populations to mitigate adverse health outcomes. -
SummaryKorean summary
국민건강보험공단 데이터베이스를 자료원으로 하고 ITS 분석을 실시하여 코로나19가 뇌졸중 환자의 입원 및 30일 내 사망률에 미치는 영향을 조사했습니다. 그 결과 코로나19가 뇌졸중 환자의 입원율과 사망률에 모두 영향을 미친다는 사실을 확인했습니다. 특히, 75세 이상과 의료급여 수급자의 허혈성 및 출혈성 뇌졸중 입원율이 감소한 것으로 나타났습니다.Key Message
Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients using the National Health Insurance Service Database. We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. Specifically, ischemic and hemorrhagic stroke admission rates decreased among individuals over 75 and MA beneficiaries.
- Variations in the Hospital Standardized Mortality Ratios in Korea
- Eun-Jung Lee, Soo-Hee Hwang, Jung-A Lee, Yoon Kim
- J Prev Med Public Health. 2014;47(4):206-215. Published online July 31, 2014
- DOI: https://doi.org/10.3961/jpmph.2014.47.4.206
- 11,437 View
- 110 Download
- 3 Crossref
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Abstract
PDF
- Objectives
The hospital standardized mortality ratio (HSMR) has been widely used because it allows for robust risk adjustment using administrative data and is important for improving the quality of patient care.
Methods
All inpatients discharged from hospitals with more than 700 beds (66 hospitals) in 2008 were eligible for inclusion. Using the claims data, 29 most responsible diagnosis (MRDx), accounting for 80% of all inpatient deaths among these hospitals, were identified, and inpatients with those MRDx were selected. The final study population included 703 571 inpatients including 27 718 (3.9% of all inpatients) in-hospital deaths. Using logistic regression, risk-adjusted models for predicting in-hospital mortality were created for each MRDx. The HSMR of individual hospitals was calculated for each MRDx using the model coefficients. The models included age, gender, income level, urgency of admission, diagnosis codes, disease-specific risk factors, and comorbidities. The Elixhauser comorbidity index was used to adjust for comorbidities.
Results
For 26 out of 29 MRDx, the c-statistics of these mortality prediction models were higher than 0.8 indicating excellent discriminative power. The HSMR greatly varied across hospitals and disease groups. The academic status of the hospital was the only factor significantly associated with the HSMR.
Conclusions
We found a large variation in HSMR among hospitals; therefore, efforts to reduce these variations including continuous monitoring and regular disclosure of the HSMR are required. -
Summary
Citations
Citations to this article as recorded by
- Development and Application of New Risk-Adjustment Models to Improve the Current Model for Hospital Standardized Mortality Ratio in South Korea
Hyeki Park, Ji-Sook Choi, Min Sun Shin, Soomin Kim, Hyekyoung Kim, Nahyeong Im, Soon Joo Park, Donggyo Shin, Youngmi Song, Yunjung Cho, Hyunmi Joo, Hyeryeon Hong, Yong-Hwa Hwang, Choon-Seon Park
Yonsei Medical Journal.2025; 66(3): 179. CrossRef - Differences in trends in discharge location in a cohort of hospitalized patients with cancer and non-cancer diagnoses receiving specialist palliative care: A retrospective cohort study
Michael Bonares, Kalli Stillos, Lise Huynh, Debbie Selby
Palliative Medicine.2023; 37(8): 1241. CrossRef - Functional training and timed nutrition intervention in infectious medical patients
M Holst, L N Søndergaard, M D Bendtsen, J Andreasen
European Journal of Clinical Nutrition.2016; 70(9): 1039. CrossRef
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