• Title/Summary/Keyword: 건강보험데이터베이스

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A visual query database system for the Sample Research DB of the National Health Insurance Service (국민건강보험공단의 표본연구DB를 위한 비주얼 쿼리 데이터베이스 시스템 개발 연구)

  • Cho, Sang-Hoon;Kim, HeeChan;Kang, Gunseog
    • The Korean Journal of Applied Statistics
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    • v.30 no.1
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    • pp.13-24
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    • 2017
  • The Sample Cohort DB supplied by the National Health Insurance Service is a valuable resource for statistical studies as well as for health and medical studies. It takes significant time and effort to extract data from this Cohort DB having a large size. As such, we introduce a database system, conveniently called the National Health Insurance Service Cohort DB Extract Tool (NICE Tool), which supports several useful operations for effectively and efficiently managing the Cohort DB. For example, researchers can extract variables and cases related with study by simply clicking a computer mouse without any prior knowledge regarding SAS DATA step or SQL. We expect that NICE Tool will facilitate the faster extraction of data and eventually lead to the active use of the Cohort DB for research purposes.

Personalized insurance product based on similarity (유사도를 활용한 맞춤형 보험 추천 시스템)

  • Kim, Joon-Sung;Cho, A-Ra;Oh, Hayong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.11
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    • pp.1599-1607
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    • 2022
  • The data mainly used for the model are as follows: the personal information, the information of insurance product, etc. With the data, we suggest three types of models: content-based filtering model, collaborative filtering model and classification models-based model. The content-based filtering model finds the cosine of the angle between the users and items, and recommends items based on the cosine similarity; however, before finding the cosine similarity, we divide into several groups by their features. Segmentation is executed by K-means clustering algorithm and manually operated algorithm. The collaborative filtering model uses interactions that users have with items. The classification models-based model uses decision tree and random forest classifier to recommend items. According to the results of the research, the contents-based filtering model provides the best result. Since the model recommends the item based on the demographic and user features, it indicates that demographic and user features are keys to offer more appropriate items.

Occupational Therapy in Long-Term Care Insurance For the Elderly Using Text Mining (텍스트 마이닝을 활용한 노인장기요양보험에서의 작업치료: 2007-2018년)

  • Cho, Min Seok;Baek, Soon Hyung;Park, Eom-Ji;Park, Soo Hee
    • Journal of Society of Occupational Therapy for the Aged and Dementia
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    • v.12 no.2
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    • pp.67-74
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    • 2018
  • Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques. Method : For the analysis of newspaper articles, "Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly" was collected after the period from 2007 to 208. Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year. Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related. Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.

Difference in the Incidence Rate of Kidney Cancer in Korea by Relative Level of Household Income and SEER Stage at Diagnosis (우리나라 신장암의 소득 수준별 발생률과 진단시 병기의 차이)

  • Hwang, Jeong-In;Ki, Myung;Son, Mia
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.561-569
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    • 2022
  • A study was conducted to determine whether there is a difference in the incidence of kidney cancer according to income level and the difference in delayed diagnosis. To this end, the incidence of kidney cancer in Korea was analyzed by income level and by stage. From 2015 to 2017, a national kidney cancer cohort was established by linking the KCCR(Korea Central Cancer Registry), NHISS(National health insurance sharing service), and the HIRA(Health insirance review and assessment service) database to calculate the kidney cancer incidence by stage and income level. During the study period, the incidence of kidney cancer in Korea increased in all income deciles, but decreased only in the medical aid population. The incidence of kidney cancer in Korea was 7.35 per 100,000 people, and 83.54% of them were locoregional kidney cancer. In the top 20% of the income decile, there was a high incidence of 21.46 cases per 100,000 people, among which 18.37 cases were locoregional kidney cancer. On the other hand, even after adjusting for risk factors related to kidney cancer, it was confirmed that the lower the income level, the higher the risk of being diagnosed with kidney cancer with distant metastasis (lowest income 20% adj.OR 1.807, 95% CI 1.411-2.222). In the insured population, the risk ratio of being diagnosed with unknown stage was 1.926 (95% CI 1.317, 2.816). The higher the income level, the higher the frequency of early cancer diagnosis, but the lower the income level, the higher the risk of being diagnosed with metastatic kidney cancer or an unknown stage, so health inequality according to income level was observed.

Association Between Lifestyle and Medical Expenses of Older Adults With Mental Illness: Using Korea Older Adults' Cohort Database (노인 코호트 DB를 이용한 정신과 질환 동반 노인의 생활 습관과 의료비 지출 크기의 연관성 분석 연구)

  • Jeong, Jiin;Bae, Suyeong;Yoo, Eun-Young;Hong, Ickpyo
    • Therapeutic Science for Rehabilitation
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    • v.12 no.1
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    • pp.51-63
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    • 2023
  • Objective : This study aimed to analyze the association between lifestyle and medical expenses of older adults with mental illness using claims data. Methods : We conducted secondary data analysis using the older adult cohort database provided by the Korea National Health Insurance Service. The lifestyle and medical expense variables were extracted from the cohort database. We used a generalized linear model to examine the association between lifestyle and medical expenses. Results : In total, 32,853 records were extracted. The results showed that smokers had medical expenses (estimate = -218,255, p = .037). As the number of days of walking increased, medical expenses significantly decreased (estimate = -58,843, p < .0001). Furthermore, as the number of days of drinking decreased, medical expenses increased (estimate = 692,289, p < .0001). Conclusion : This study analyzed the estimates of medical expenses according to lifestyle among older adults with mental illness. Smoking and exercise were negatively associated with medical expenses. These results suggest the importance of a healthy lifestyle for older adults with mental illness. In addition, this study can be used as clinical evidence for lifestyle management programs to improve physical and mental health.

Analysis of the incidence of dementia in complete edentulous patients using the National Health Insurance Service-Elderly Cohort Database (NHIS-ECD) (국민건강보험공단 노인 코호트 자료를 이용한 완전 무치악 환자의 치매 발병률 분석)

  • Koo, Bonsuk;Yoo, Jin-Joo;Kim, Manyong;Lim, Hyunsun;Yoon, Joon-Ho
    • The Journal of Korean Academy of Prosthodontics
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    • v.58 no.3
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    • pp.193-200
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    • 2020
  • Purpose: To investigate the relationship between dementia and complete tooth loss on both sides or one side using large demographic data. Materials and methods: A retrospective cohort study was designed using the National Health Insurance Service-Elderly Cohort Database (NHIS-ECD) which was established for people over the age of 60. The experimental group was the complete edentulous cohort, which had a history of treatment for national health insurance covered complete denture on both sides or one side from July 1, 2012 to December 31, 2013. And the control group was the dentulous cohort, which had a history of conservative dental treatment for the same period. All subjects had no history of diagnosis or treatment of dementia during this time. These cohorts were matched 1:1 by age, gender, and place of residence according to the propensity score matching method. Then the incidence of dementia was compared between these cohorts. Results: Compared with those groups, the incidence of dementia was significantly higher in the experimental group (12.13%) than in the control group (9.74%) (P<.05). No clear association between other factors has been identified. Conclusion: The analysis of large-scale demographic data shows that the incidence of dementia is high in complete edentulous patients on both sides or one side.

Understanding the Occurrence of Lung Cancer in Foundry Workers through Health Insurance Data (의료보험 전산자료 주상병명으로 파악한 주물공장 근로자들의 폐암)

  • Song, Jae-Seok;Kang, Seong-Kyu;Chung, Ho-Keun;Ahn, Yeon-Soon
    • Journal of Preventive Medicine and Public Health
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    • v.33 no.3
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    • pp.299-305
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    • 2000
  • Objectives : To investigate the difference in the occurrence of lung cancer between foundry workers and non-foundry workers by comparing the number of workers diagnosed with lung cancer through health insurance data. Methods : The study population was comprised of 28,884 workers who had undergone at least one general or special medical examination between January 1995 and December 1997 at the occupational health center. All of the subjects had health insurance during this period. We combined the medical examination data with the health insurance data to compare the number of foundry workers diagnosed with lung cancer and the number of non-foundry workers diagnosed with lung cancer. Results : Seven workers were diagnosed with lung cancer among the 1,591 foundry workers, compared to twelve workers among the 27,293 non-foundry workers (odds ratio: 10.04, 95% confidence interval: 3.95-25.55). The seven foundry workers diagnosed with lung cancer were all exposed to dust, and six out these seven workers were engaged in finishing or shake-out processes. Conclusions : Although the information for this study was obtained from health insurance data, which has limitations such as accuracy and completeness, the number of foundry workers diagnosed with lung cancer was significantly higher than that of non-foundry workers. Therefore, a well-designed cohort study should be followed to confirm the higher lung cancer rates in foundry workers.

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Factors related to Suicide within One year of Diagnosis of Schizophrenia: A Retrospective Cohort Study using National Health Information Database (조현병 진단 후 1년 이내 자살 관련 요인: 국민건강보험공단 자료를 이용한 후향적 코호트 연구)

  • Park, Soonjoo
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.349-356
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    • 2022
  • This study aims to identify factors related to suicide within one year of schizophrenia diagnosis based on data from National Health Information Database. We obtained data of 102,540 patients diagnosed with schizophrenia between 2007 to 2010 from customized database, which was checked using the National Statistics Organization database and schizophrenia cohort was built. The number of suicide within one year of schizophrenia diagnosis was 615(0.60%), and the risk of suicide within one year was high among patients within age group of 25-34 and patients with medium-low to high economic status. The risk of suicide within one year among male patients was high within age group of 45-54 and patients with medium-low to high economic status. The risk of suicide within one year among female patients was high within patients with high economic status. Age and economic status need to be considered during suicide prevention intervention of schizophrenia patients diagnosed within one year and suicide related factors by sex need to be especially considered.

Psychosomatic Symptoms Following COVID-19 Infection (코로나19 감염과 그 이후의 정신신체증상)

  • Sunyoung Park;Shinhye Ryu;Woo Young Im
    • Korean Journal of Psychosomatic Medicine
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    • v.31 no.2
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    • pp.72-78
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    • 2023
  • Objectives : This study aims to identify various psychiatric symptoms and psychosomatic symptoms caused by COVID-19 infection and investigate their long-term impact. Methods : A systematic literature review was conducted, selecting papers from domestic and international databases using keywords such as "COVID-19" and "psychosomatic." A total of 16 papers, including those using structured measurement tools for psychosomatic symptoms, were included in the final analysis. Results : Psychiatric symptoms such as anxiety, depression, and somatic symptoms have been reported in acute COVID-19 infection, while long-term post-COVID symptoms include chest pain and fatigue. The frequency of long-term psychosomatic symptoms has been estimated to be 10%-20%. Factors contributing to these symptoms include psychological and social stress related to infectious diseases, gender, elderly age, a history of psychiatric disorders, and comorbid mental illnesses. It is suggested that systemic inflammation, autoimmune responses, and dysregulation of the autonomic nervous system may be involved. Conclusions : Psychosomatic symptoms arising after COVID-19 infection have a negative impact on quality of life and psychosocial functioning. Understanding and addressing psychiatric aspects are crucial for symptom prevention and treatment.

Multilevel Analysis of Factors Related to Cost and Length of Stay in Acute Myocardial Infarction Patients with Coronary Stenting: Based on Korean National Health Insurance Service's Customized Database in 2010 and 2015 (관상동맥 스텐트를 삽입한 급성 심근경색 환자의 진료비 및 재원일수 관련 요인에 대한 다수준분석: 2010년과 2015년 국민건강보험공단 맞춤형 데이터베이스 자료를 바탕으로)

  • Choi, Boyoung;Lee, Hae-Jong
    • Health Policy and Management
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    • v.30 no.3
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    • pp.418-429
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    • 2020
  • Background: This study aims to analyze the cost and the length of stay (LOS) of acute myocardial infarction (AMI) patients with coronary artery stenting according to the characteristics of individuals and institutions. Methods: The data was collected from Korean National Health Insurance Service's customized database in 2010 and 2015. Chi-square test, t-test, analysis of variance, and multilevel analysis were performed. Results: The intraclass correlation coefficients for cost were 7.02% in 2010, 5.61% in 2015 and for LOS were 3.17%, 1.40%, respectively. The average costs were 9,067,000 won in 2010 and 9,889,000 won in 2015 (p<0.0001). However, the cost in 2015 was lower than the cost applying increased fee. The costs increased in aged 50-59 years, 60-69 years, and aged ≥70 years versus in aged under 49 years. The cost was higher in Charlson comorbidity index (CCI) 3 to 4 and ≥5 than in CCI 0. The costs were lower in male, medical aid recipients, metropolises, and local hospitals in other regions in 2010. LOS decreased from 8.1 days in 2010 to 7.4 days in 2015. It decreased in male, high income group, and the group of admission via emergency room. However, it increased in higher ages and medical aid recipients, and it also increased when CCI rose. The Internal Herfindahl Index was related to LOS in 2010. Conclusion: The variation of hospital level was small compared to the patient level. Therefore, it is important to implement applicable policies at the patient level in order to reduce cost and LOS of AMI patients.