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  • P-ISSN 1010-0695
  • E-ISSN 2288-3339

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보건의료 빅데이터를 이용한 얼굴마비환자의 의료비용에 관한 연구

Medical costs for patients with Facial paralysis : Based on Health Big Data

대한한의학회지 / Journal of Korean Medicine, (P)1010-0695; (E)2288-3339
2015, v.36 no.3, pp.98-109
홍민정 (부산대학교 한의학전문대학원)
엄태웅 (부산대 한방의료 비교효과 및 경제성 평가 연구센터)
김신아 (부산대학교 한방의료 비교효과 및 경제성평가 연구센터)
김남권 (부산대학교 한방의료 비교효과 및 경제성평가 연구센터)
홍민정, 엄태웅, 김신아, & 김남권. (2015). 보건의료 빅데이터를 이용한 얼굴마비환자의 의료비용에 관한 연구. 대한한의학회지, 36(3), 98-109.
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Abstract

Objectives: The purpose of this study was to analyze the medical cost of facial paralysis in payer perspective and to estimate the practice pattern of patient using 2011 Health Insurance Review & Assessment Service-National Patients Sample(HIRA-NPS). Methods: Basic statistical system was used for descriptive analysis of NPS dataset. A table for general information (table20) was extracted by disease code, and social demographic characteristics, distribution of the use among inpatients and outpatients, utilization of each kind of medical care institutions, medical cost were analyzed. Subgroup analysis was conducted for assuming the practice pattern of korean medicine and western medicine. Results: A total of 8,219 people and 64,345 claims data were identified as having facial paralysis. Proportion of outpatient was 95.23%, inpatient 0.84% and patient using both services 3.93%. Mean patient charges was 44,229 won per outpatient, 178,886 won per inpatient and 523,542 won per patient using both services. Utilization of korean medical care institutions was 68.81%(claims), 40.46%(patients), utilization of western medical care institutions was 31.19%(claims), 59.54%(patients). The amount charged by korean medical care institutions was 52.61% and western medical care institutions was 47.39%. Cost per claim was higher than those of the korean treatment and cost per patient of western treatment was lower than those of the korean treatment. Conclusions: The research assessed the medical cost and practice pattern associated with facial paralysis. These findings could be used in health care policy and subsequent studies.

keywords
Facial paralysis, Burden of illness, Health big data, Medical cost, Health insurance


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