• Title/Summary/Keyword: Insurance data

Search Result 2,456, Processing Time 0.025 seconds

Improvement of Accessibility to Dental Care due to Expansion of National Health Insurance Coverage for Scaling in South Korea (치석제거 요양급여 확대 정책으로 인한 치과의료 접근성 향상)

  • Huh, Jisun;Nam, SooHyun;Lee, Bora;Hu, Kyung-Seok;Jung, Il-Young;Choi, Seong-Ho;Lee, Jue Yeon
    • The Journal of the Korean dental association
    • /
    • v.57 no.11
    • /
    • pp.644-653
    • /
    • 2019
  • Since 2013, adults aged over 20 can receive national health insurance scaling once a year in South Korea. In this study, we analyzed the usage status of national health insurance care service for periodontal disease in 2010-2018 by using Healthcare big data of the Health Insurance Review and Assessment Service. The increase rate of the dental care users was very high at 7.8 and 11.2% in 2013 and 2014, respectively. These are higher than the increase rate of all medical institution users, which is between -1.7 and 3.7%. In 2017, the rate of dental use was 44.4%, which has increased more than 10% compared to 2012. Percent receiver of national health insurance scaling was 19.5% in 2017. The 20s had the highest rate of 23.2%. The rate decreased with age. Based on these results, it can be evaluated that the expansion of national health insurance coverage for scaling improves accessibility to dental care. A more long-term assessment of the effect of periodic dental examination and scaling on reducing the prevalence of periodontal disease is needed. National health insurance coverage should be extended to oral hygiene education and supportive periodontal therapy in order to prevent periodontal disease.

  • PDF

The Development and Application of Core Fundamental Nursing Skills Improvement Education Program for New Nurses in Comprehensive Nursing Care Ward (간호·간병통합서비스 병동 신규간호사 대상 핵심기본간호술기향상 교육프로그램 개발 및 적용)

  • Choi, Eun Young;An, Kum Hee;Oh, In Ohg;Park, Ai Hee;Park, Min Hyun;Son, Jae Lee;Hong, Na Suk;Yoon, Ho Soon
    • The Journal of Korean Academic Society of Nursing Education
    • /
    • v.23 no.4
    • /
    • pp.419-429
    • /
    • 2017
  • Purpose: The purpose of this study was to investigate the effect of the development and application of the new nurses' core skill program on the clinical skill, confidence, knowledge and performance of new nurses. Methods: This study was a nonequivalent control group post-test design on 46 new nurses with 3 to 6 months work experience in a general hospital. Data were collected from August 2015 to August 2016. A training program of core fundamental nursing skills was applied on 23 new nurses from 2016 in the experiment group, and an existing training method was applied on 23 new nurses from 2015 in the comparison group. The collected data were analyzed using SPSS/WIN 23.0. Results: The experimental group ($89{\pm}4.29$) showed higher score in practical skill assessment compared to the control group ($85.09{\pm}3.99$) and showed a statistically significant difference (p<001). Conclusion: A training program of core fundamental nursing skills for new nurses proved effective in improving practical skills. Further research on the development of a systemic training program that can improve clinical nursing knowledge and work ability for new nurses according to the extended enforcement of a Nursing Care Integrated Service ward is needed.

Economic Benefits of Implementing National Health Insurance by Measurement of Changes in the Consumer's Surplus (전국민 의료보험 실시에 따른 사회전체 순편익 분석)

  • Kim, Han-Joong;Lee, Hae-Jong
    • Journal of Preventive Medicine and Public Health
    • /
    • v.22 no.3 s.27
    • /
    • pp.398-405
    • /
    • 1989
  • A change in the consumer's surplus was measured in order to evaluate the social benefit to be derived from expanding health insurance to the entire population. The most refined and correct way to measure a project's net benefit to society is to determine a change in the consumer's surplus. Benefits from introducing the health insurance program to the uninsured people can be classified into two elements. The first is the pricing-down effect(E1) which results from applying the insurance price system, which is lower than the actual price, to the uninsured patients. The second effect(E2) is a decrease in actual payment because an insured patient pays only a portion of the total medical bill(copayment). We collected medical price information from the data banks of 93 hospitals, and obtained information of medical utilization by referring to the results of other research and from data published by the Korean Medical Insurance Societies. The total net benefit was estimated as \214 billion, comprising the first effect(E1) of \57 billion and the second effect(E2) of \157 billion. The price elasticity of physician visits is less than that of hospital admissions: however, benefits from the increase in physician visits are greater than those from hospital admissions because there are considerably more of physician visits than hospital admissions. The sensitivity analysis also shows the conclusion that expansion of the health insurance program to the entire population would result in a positive net benefit. Therfore, we conclude that the National Health Insurance Program is socially desirable.

  • PDF

Prediction model for dental implants utilization in the elderly after the national health insurance coverage of dental implants: focusing on socioeconomic factors (치과 임플란트 국민건강보험 급여화 이후 노인의 치과 임플란트 이용에 대한 예측 모형: 사회경제적 요인 중심으로)

  • Sang-Hee Lee;Kyu-Seok Kim;Hye-Young Mun;Jung-Yun Kang
    • Journal of Korean society of Dental Hygiene
    • /
    • v.24 no.1
    • /
    • pp.9-16
    • /
    • 2024
  • Objectives: The demand for dental care is expected to increase as the population ages. This study aimed to predict the utilization of dental implant care following the expansion of national health insurance benefits for dental implants. Methods: Multiple linear regression analysis was performed on HIRA big data open portal data and DNN-based artificial intelligence models to forecast the utilization of dental care in relation to the national health insurance coverage for dental implants. Results: National health insurance coverage of dental implants was found to be associated with the number of patients using dental implant services and demonstrated a statistical significance. The dental implant services utilization increased with the increased dental implant health insurance benefits for the elderly population, increased mean by region, increased number of dental institutions by region, and increased health insurance coverage rate for dental implants. However, the dental implant services utilization decreased with the increased number of older people living alone and increased size of dental institutions. Conclusions: With the expansion of the national health insurance coverage for dental implants, it is predicted that the utilization of dental implant medical services will increase in the future.

A Study on the Influence of Existing Customers on the Intention to Repurchase Insurance Products (기존 고객의 보험상품 재구매 의도에 미치는 영향에 관한 연구)

  • Kim, Eun-Woo;Oh, Jongryul
    • Journal of Industrial Convergence
    • /
    • v.18 no.4
    • /
    • pp.67-75
    • /
    • 2020
  • This study tries to understand the relationship between brand direct, oral communication, competence and insurance service's impact on the resale of insurance products and to suggest ways to efficiently repurchase insurance products. The data collected verified the suitability of the structured model and the causality of each concept, First of all, it is important to give customers an awareness that they are receiving special services for themselves that are differentiated from orthers. Second, customers want to enjoy the benefits of insurance services together by spreading the benefits of insuuance servics to people around them through oral communication. Third,the customer thinks insurance service is the competence of the insurance planner. Therefore, the professionalism of isurance services should be increased. Fourgh, insurance planners should provide customers with quilting information. Finally, an insurance company should develop insurance services that can create a mind that customers receive special services through diversification of insurance services.

FUZZY REGRESSION TOWARDS A GENERAL INSURANCE APPLICATION

  • Kim, Joseph H.T.;Kim, Joocheol
    • Journal of applied mathematics & informatics
    • /
    • v.32 no.3_4
    • /
    • pp.343-357
    • /
    • 2014
  • In many non-life insurance applications past data are given in a form known as the run-off triangle. Smoothing such data using parametric crisp regression models has long served as the basis of estimating future claim amounts and the reserves set aside to protect the insurer from future losses. In this article a fuzzy counterpart of the Hoerl curve, a well-known claim reserving regression model, is proposed to analyze the past claim data and to determine the reserves. The fuzzy Hoerl curve is more flexible and general than the one considered in the previous fuzzy literature in that it includes a categorical variable with multiple explanatory variables, which requires the development of the fuzzy analysis of covariance, or fuzzy ANCOVA. Using an actual insurance run-off claim data we show that the suggested fuzzy Hoerl curve based on the fuzzy ANCOVA gives reasonable claim reserves without stringent assumptions needed for the traditional regression approach in claim reserving.

The Analysis on Annual Utilization Patterns of Inpatients in Korean Medical Hospitals for the Past 10 years (10년간 일개 한의대 부속 한방병원에 입원한 환자에 대한 연도별 이용실태 분석 : 침구의학과를 중심으로)

  • Kim, Hye Su;Kim, So Yun;Kim, Jung Ho;Kim, Young Il
    • Journal of Acupuncture Research
    • /
    • v.33 no.2
    • /
    • pp.61-76
    • /
    • 2016
  • Objectives : This study was designed to clarify population-social characteristics that influence the utilization patterns of hospitalized patients in a traditional korean hospital, thereby providing clinical data which would help further improvements of traditional korean medical service in particular the Acupuncture and Moxibustion. Methods : We investigated population-social characteristics and annual utilization patterns of all patients who were hospitalized for more than 24 hours in a Korean Medical Hospital from January 2005 to December 2014. The obtained data were recorded in the EMR chart and statistical analysis was performed using SPSS 21.0. Additionally, data from the patients admitted to the department of Acupuncture and Moxibustion were analyzed separately. Results : 1. All inpatients had a significant annual difference in age, gender, hospitalized department, and disease code annually but not in re-hospitalization number. Inpatients of the department of Acupuncture and Moxibustion also varied in their age, gender, and disease code annually, but not in re-hospitalization number. 2. Pearson correlation analysis on all inpatients showed that the mean days of hospital treatments had a negative correlation with all variables except medical care insurance. Total cost, cost per day per person and recuperation cost had a positive correlation with all variables except medical care insurance. There was no meaningful relationship between nonrecuperation cost and the variables. 3. Stepwise multiple regression analysis on all inpatients showed that the mean days of hospital treatments had a negative correlation with all variables except automobile insurance. The total hospitalization costs had a positive correlation with both general insurance and medical care insurance. Cost per day per person and recuperation cost had a positive correlation with the females. There was no meaningful relationship between non-recuperation cost and the variables. 4. Pearson correlation analysis on inpatients of the department of Acupuncture and Moxibustion inpatients showed that the mean days of hospital treatments had a positive correlation with all variables except general insurance and automobile insurance. Total cost and recuperation cost had a positive correlation with all variables except medical care insurance, and cost per day per person had a positive correlation with females and general insurance. There was no meaningful relationship between non-recuperation cost and the variables. 5. Stepwise multiple regression analysis on inpatients of the department of Acupuncture and Moxibustion inpatients, the mean days of hospital treatments, total cost, cost per day per person and recuperation cost had a positive correlation with general insurance. There was no meaningful relationship between non-recuperation cost and the variables. Conclusion : Population-social characteristics of inpatients annually varies, and the change influences the utilization pattern.

The Emotional Intelligence Effects on Foreign LCs' Self-Efficacy and Job Stress (외국계 생명보험 설계사의 감성지능이 직무스트레스에 미치는 영향 : 자기효능감의 매개효과를 중심으로)

  • Jung, Kwang-Jin;Park, Sang-Beom
    • The Journal of Industrial Distribution & Business
    • /
    • v.9 no.5
    • /
    • pp.93-104
    • /
    • 2018
  • Purpose - This study is to investigate the relationship among emotional intelligence, self-efficacy and job stress of foreign life insurance consultants focusing on the mediating effect of self-efficacy. Regarding job security, in general foreign life insurance companies in Korea have more severe working conditions in terms of required contract performance. For foreign life insurance consultants, they are assumed to need higher level of emotional intelligence and self efficacy to meet the conditions. In this study, focus is cast on these aspects. Research design, data, and methodology - Basically the research is conducted upon questionnaires responded by foreign life insurance consultants. That is, data are collected from 255 sample of insurance consultants who work for a foreign owned life insurance company. The Questionnaire measure the level of emotional intelligence, self-efficacy and job stress of insurance consultants. The data are analyzed using pearson's correlation coefficient and hierarchical multiple regression, descriptive statistics, t-test, ANOVA, Durbin-Watson test. Results - The general characteristics of respondents are gender, age, marital status, education level, income monthly, career length, change jobs no, working day per week, call no. per week, meeting no. with client per week, contract regularity, contract no. per month and cancellation contract per year. The mean of emotional intelligence is 2.63, self-efficacy is 3.44 and job stress is 2.20. Emotional intelligence is composed with mean value of self emotion appraisal(3.93), other's emotion appraisal(3.78), regulation of emotion(3.29) and use of emotion(3.52). The mean of self efficacy is composed with mean value of self-confidence(3.41), self-regulated efficacy(3.59) and preference task difficulty(3.30). The job stress is composed with mean value of job requirement(2.61), lack of job autonomy(1.99), conflict of personal relations(1.99), job instability(2.38), organizational system(2.19) and inappropriate compensation(2.07). There is a significant positive correlation between emotional intelligence and self-efficacy. The emotional intelligence and self-efficacy are significantly negative correlation with job stress. The self-efficacy is showed a mediating variable between emotional intelligence and job stress. Conclusions - To decrease job stress level, foreign life insurance company should find the factors to improve the emotional intelligence and self-efficacy of life insurance consultants, and develop appropriate plans using a mediating role of self- efficacy between emotional intelligence and job stress.

Developing the predictive model for stomach cancer using data mining (데이터마이닝을 이용한 위암 예측모형 개발과 활용)

  • Park, Il-Su;Han, Jun-Tae;Kang, Suk-Bok;Ji, Jae-Hoon
    • Journal of the Korean Data and Information Science Society
    • /
    • v.21 no.6
    • /
    • pp.1253-1261
    • /
    • 2010
  • We develope the predictive model for the incidence of the stomach cancer by utilizing the health screening data of the National Health Insurance in Korea. We also explore the characteristics for the stomach cancer. We perform the logistic regression analysis using the data mining methodology and use SAS Enterprise Miner 4.1. This study shows that there exists a higher rate of the stomach cancer for males than females. Our study confirms that the major influencing factors for the incidence of the stomach cancer are age, drinking and a family history of cancer, lack of exercise. For man, the age is the most important determinant of the stomach cancer incidence, whereas the drinking is the most important determinant of the stomach cancer incidence for women.

Development and validation of novel simple prognostic model for predicting mortality in Korean intensive care units using national insurance claims data

  • Ah Young Leem;Soyul Han;Kyung Soo Chung;Su Hwan Lee;Moo Suk Park;Bora Lee;Young Sam Kim
    • The Korean journal of internal medicine
    • /
    • v.39 no.4
    • /
    • pp.625-639
    • /
    • 2024
  • Background/Aims: Intensive care unit (ICU) quality is largely determined by the mortality rate. Therefore, we aimed to develop and validate a novel prognostic model for predicting mortality in Korean ICUs, using national insurance claims data. Methods: Data were obtained from the health insurance claims database maintained by the Health Insurance Review and Assessment Service of South Korea. From patients who underwent the third ICU adequacy evaluation, 42,489 cases were enrolled and randomly divided into the derivation and validation cohorts. Using the models derived from the derivation cohort, we analyzed whether they accurately predicted death in the validation cohort. The models were verified using data from one general and two tertiary hospitals. Results: Two severity correction models were created from the derivation cohort data, by applying variables selected through statistical analysis, through clinical consensus, and from performing multiple logistic regression analysis. Model 1 included six categorical variables (age, sex, Charlson comorbidity index, ventilator use, hemodialysis or continuous renal replacement therapy, and vasopressor use). Model 2 additionally included presence/absence of ICU specialists and nursing grades. In external validation, the performance of models 1 and 2 for predicting in-hospital and ICU mortality was not inferior to that of pre-existing scoring systems. Conclusions: The novel and simple models could predict in-hospital and ICU mortality and were not inferior compared to the pre-existing scoring systems.