Measuring of quality of care in patients with stroke and acute myocardial infarction An application of algebra effectiveness model

Kyoung Hee Cho, Chung Mo Nam, Sang Gyu Lee, Tae Hyun Kim, Seon Heui Lee, Eun Cheol Park

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7 Citations (Scopus)


Ischemic stroke, hemorrhagic stroke, and acute myocardial infarction (AMI) are diseases with golden hour. This study aimed to identify and compare factors that affect in-hospital mortality in patients with stroke and AMI who admitted via the emergency department. This study used the Korean National Health Insurance claims data from 2002 to 2013. The study sample included 7693 patients who had an ischemic stroke, 2828 patients who had a hemorrhagic stroke, and 4916 patients with AMI who were admitted via the emergency departments of a superior general hospital and general hospital, did not transfer to another hospital or come from another hospital, and were aged ≥20 years. This study was analyzed by using Cox's proportional hazards frailty model. Five hundred (6.5%) of 7693 patients with ischemic stroke, 569 (20.1%) of 2828 patients with hemorrhagic stroke, and 399 (8.1%) of 4916 patients with AMI were dead. The clinical factors were associated with in-hospital mortality such as age, CCI, hypertension, and diabetes of patient characteristics. In treatment characteristics, performing PCI and weekday admission was associated with inhospital mortality (aHR, 0.43; 95% CI, 0.27-0.67; aHR, 1.42; 95% CI, 1.14-1.77, respectively). In hospital characteristics, the volume, the proportion of transferred patient to other hospital and ratio of beds per one nurse was associated with in-hospital mortality. Clinical factors of patient characteristics, intervention such as performing PCI and reducing ICP of treatment characteristics, and the volume, transferred rate, and the number of nurse of hospital characteristics were associated with in-hospital mortality.

Original languageEnglish
Article numbere15353
JournalMedicine (United States)
Issue number20
Publication statusPublished - 2019 May 1

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© 2019 the Author(s).

All Science Journal Classification (ASJC) codes

  • Medicine(all)


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