Jayeun Kim1, Ki Hwa Yang2, Ah Rum Choi2, Mi Yeon Kang2, Hyun Joo Kim3, Hyejin Lee4, Jin Yong Lee2,5,6. 1. Institute of Health and Environment, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul 08826, Korea. 2. Health Insurance Review & Assessment Service, 101 Daehak-ro, Jongno-gu, Wonju-si 07061, Korea. 3. Department of Nursing Science, Shinsung University 1, Daehak-ro, Jeongmi-myeon, Dangjin-si, Chungcheongnam-do 31801, Korea. 4. Department of Family Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea. 5. Public Healthcare Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 07061, Korea. 6. Department of Health Policy and Management, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 07061, Korea.
Abstract
BACKGROUND: Healthcare quality assessment is being conducted in many countries. Although improving health equity is one of the major objectives of medical quality assessment, it is not clear whether different socio-economic statuses show the same health outcomes even in the same medical quality hospitals. No study has directly compared the health outcomes of different socio-economic statuses in the same hospitals nationwide. OBJECTIVE: To determine whether the mortality rate of acute stroke patients differs according to socioeconomic status. METHODS: This study was a retrospective, observational study of patients who were subject to acute stroke quality assessment in 2013. A total of 10 399 stroke cases were included in the study. When evaluating the mortality rate, the researchers analysed 10 228 cases, after excluding 171 cases that were measured twice for the same person. The levels of socio-economic status were divided according to the use of medical benefits, either National Health Insurance (NHI) for general population or Medical Aid (MA) for the vulnerable. The primary outcomes measured according to socio-economic status were in-hospital mortality rate and 1-year follow-up mortality rate of stroke patients. The secondary outcome was the composite performance score. RESULTS: MA recipients had a higher in-hospital mortality rate (12.5 vs. 8.3%, P < 0.001) and 1-year follow-up mortality rate (14.9 vs. 10.8%, P < 0.001) than NHI subscribers. MA recipients had slightly lower scores than NHI subscribers (83.2 vs. 84.4, P = 0.02). In hospitals of the same grade, MA recipients had lower performance scores than NHI subscribers, although the difference was not statistically significant. CONCLUSIONS: There is a difference in mortality and healthcare performance according to socio-economic status in stroke patients in Korea. Efforts to improve equity are needed, including the development and monitoring of equality indicators and developing policies for healthcare equity.
BACKGROUND: Healthcare quality assessment is being conducted in many countries. Although improving health equity is one of the major objectives of medical quality assessment, it is not clear whether different socio-economic statuses show the same health outcomes even in the same medical quality hospitals. No study has directly compared the health outcomes of different socio-economic statuses in the same hospitals nationwide. OBJECTIVE: To determine whether the mortality rate of acute strokepatients differs according to socioeconomic status. METHODS: This study was a retrospective, observational study of patients who were subject to acute stroke quality assessment in 2013. A total of 10 399 stroke cases were included in the study. When evaluating the mortality rate, the researchers analysed 10 228 cases, after excluding 171 cases that were measured twice for the same person. The levels of socio-economic status were divided according to the use of medical benefits, either National Health Insurance (NHI) for general population or Medical Aid (MA) for the vulnerable. The primary outcomes measured according to socio-economic status were in-hospital mortality rate and 1-year follow-up mortality rate of strokepatients. The secondary outcome was the composite performance score. RESULTS: MA recipients had a higher in-hospital mortality rate (12.5 vs. 8.3%, P < 0.001) and 1-year follow-up mortality rate (14.9 vs. 10.8%, P < 0.001) than NHI subscribers. MA recipients had slightly lower scores than NHI subscribers (83.2 vs. 84.4, P = 0.02). In hospitals of the same grade, MA recipients had lower performance scores than NHI subscribers, although the difference was not statistically significant. CONCLUSIONS: There is a difference in mortality and healthcare performance according to socio-economic status in strokepatients in Korea. Efforts to improve equity are needed, including the development and monitoring of equality indicators and developing policies for healthcare equity.