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한국형 상병수당 제도 설계를 위한 급여보장방식 국가비교 및 급여기준 소득분석
임승지,김나영 한국사회보장학회 2022 사회보장연구 Vol.38 No.3
Sickness Cash Benefit(SCB) is as an integral part of the public health care system in many countries, which are paid when short-time illnesses prevent work. So workers treat disease without the burden of income loss during the incapacity for work and return to work well. This leads to a virtuous cycle of economic growth. In Korea, Workers’ Presenteeism with COVID-19 pandemic became controversial issue as a blind spot of social security. Consequently, Korea government announced the implementation of the main project of SCB in 2025 starting with a three year pilot project from July 2022 and has sought the direction of scheme with stakeholders. In this study, we focus on the design of benefit type and amount for Korea SCB system. We classified the benefit types among OECD countries and compared the cases of co untries with priorities by type, and analyzed data from NHIS to show the income level of all workers in Korea. In conclusion, we suggest a type of benefit and amount of benefit for operating Korea SCB system combined by the methods of the income related and flat or fixed benefit expense. Also we present a short-term and mid-to long-term model of benefits for policy decision to construct SCB scheduled in Korea. 상병수당제도는 근로자의 질병으로 인한 근로활동불가기간 동안 소득상실의 부담 없이 질병을 치료하고 업무에 복귀할 수 있도록 보장하는 공적 사회보장제도이다. 코로나19로 ‘아프면 쉬어야 한다.’라는 근로자의 권리가 사회적 이슈가 되면서 정부는 2022년 7월부터 3년간의 시범사업을 시작으로 2025년 한국형 상병수당 제도 본사업 시행을 예고하고 각계 이해관계자들과 함께 제도 설계 방향을 모색하고 있다. 상병수당 제도 설계에 대한 다양한 쟁점사항이 있으나, 이 연구에서는 상병수당 급여보장방식의 국제비교와 급여기준이 되는 소득분석을 통해 한국형 상병수당 제도 설계를 위한 정책결정의 근거를 제시하고자 하였다. OECD회원국의 급여보장방식별 유형을 분류하고 유형별 선험국의 사례 비교를 통해 제도설계의 방향성을 도출하였고, 전국민 건강보험 빅데이터에서 추출한 경제활동근로자의 근로 및 사업소득의 수준을 직장가입피보험자, 직장가입피부양자, 지역가입자, 일용근로소득자, 특수고용직종사자, 의료급여수급자별로 구분하여 소득10분위별 분석결과를 제시하였다. 결론적으로, 우리나라의 모든 경제활동근로자를 대상으로 상병수당제도를 운영하기 위한 현실적 급여보장방식으로서 한국형 정률-정액 혼합형의 급여보장방식을 도출하고, 소득분석결과를 근거로 급여보장방식과 급여수준결정을 위한 소득기준의 단기 및 중․장기적 모형을 제시함으로서 2025년으로 예정된 상병수당 제도 안착을 위한 정책결정의 기초자료로 활용되기를 기대한다.
건강보험 청구자료를 이용한 우리나라 뇌졸증 환자의 사회경제적 비용 추계
임승지,김한중,남정모,장후선,장영화,김세라,강혜영,Lim, Seung-Ji,Kim, Han-Joong,Nam, Chung-Mo,Chang, Hoo-Sun,Jang, Young-Hwa,Kim, Se-Ra,Kang, Hye-Young 대한예방의학회 2009 예방의학회지 Vol.42 No.4
Objectives : To estimate the annual socioeconomic costs of stroke in Korea in 2005 from a societal perspective. Methods : We identified those 20 years or older who had at least one national health insurance (NHI) claims record with a primary or a secondary diagnosis of stroke (ICD-10 codes: I60-I69, G45) in 2005. Direct medical costs of the stroke were measured from the NHI claims records. Direct non-medical costs were estimated as transportation costs incurred when visiting the hospitals. Indirect costs were defined as patients and caregivers productivity loss associated with office visits or hospitalization. Also, the costs of productivity loss due to premature death from stroke were calculated. Results : A total of 882,143 stroke patients were identified with prevalence for treatment of stroke at 2.44%. The total cost for the treatment of stroke in the nation was estimated to be 3,737 billion Korean won (KRW) which included direct costs at 1,130 billion KRW and indirect costs at 2,606 billion KRW. The per-capita cost of stroke was 3 million KRW for men and 2 million KRW for women. The total national spending for hemorrhagic and ischemic stroke was 1,323 billion KRW and 1,553 billion KRW, respectively, which together consisted of 77.0% of the total cost for stroke. Costs per patient for hemorrhagic and ischemic stroke were estimated at 6 million KRW and 2 million KRW, respectively. Conclusions : Stroke is a leading public health problem in Korea in terms of the economic burden. The indirect costs were identified as the largest component of the overall cost.
기계학습 모델을 이용한 역삼투 해수담수화 공정에서의 막 오염 예측 알고리즘 개발 및 성능 분석
임승지,김준하 한국막학회 2016 한국막학회 총회 및 학술발표회 Vol.2016 No.05
역삼투 해수담수화 공정에서 막 오염은 생산수량 감소 및 공정의 에너지 소비량 증가를 야기한다. 막간 차압 증가, 생산수량 감소 외에 막 저항 값의 증가는 막 오염 정도를 판단하는 수치로 사용이 가능하다. 특히 막 저항 값 기반의 세정은 막 오염 제어를 통해 역삼투 해수담수화 공정에서 막의 성능 유지 시 사용 가능하다. 이에 본 연구에서는 해수 수질 인자 및 공정 운전 인자에 기반하여 막 저항 값을 예측하는 알고리즘을 제안한다. 알고리즘은 해수담수화 플랜트의 운전 데이터에 기반하여 인자들과 막 저항 값 사이의 관계를 학습하고 검증과정을 거쳐 막 오염 발생 시점을 사전에 예측하는 방식으로 개발되었다. 예측 정확도를 분석하고 개발된 알고리즘의 수정을 통해 예측 정확도 향상을 위한 연구를 진행하였다.
이명선,임승지 韓國保健敎育·健康增進學會 1999 보건교육건강증진학회지 Vol.16 No.1
Increase of automobiles become today's environmental problem decreasing space for our children's playground. The traffic situation around us shows automobiles over filled the public roads and started to intrude even on the side walks. Children's traffic safety education for the awareness of the danger from traffic mishaps, and for the behavior to cope with preventives measure by continual learning programs in systematized method is very important need in current health education. For this research, the subject was represented by 243 students from 4th grade in D Elementary School located at Daechi-dong, Seoul. During total of 5 weeks (September 4, 1997 to September 30, 1997), lessons were taught to the subject. Lessons consist of traffic safety education and customized education program that were designed and developed specificially for the subject level In this research, Case group of 3 classes and control group of 3classes were predetermined before subject's degree of knowledge, attitude, and practice was analized. The difference before and after the training of this education was observed to verify the effectively and to find the influential factors of this education program. On september 2-3, survey study was performed after the training. the results of this study were as follows: 1) The knowledge analysis from the comparison between before and after of the training shows case group and control group scored(8.36, 8.86) before the training, but scored(10.36, 8.52) after the training. the difference from the result of the case group is statistically significant(p〈0.001). 2) The attitude analysis from the comparison between before and after of the training shows case group and control group scored(48.23, 49.87) before the training, but scored (51.05, 48.45) after the training. The difference from the result of the case group is statistically significant(p〈0.001). 3) The practice analysis fro the comparison between before and after of the training shows case group and control group scored (27.42, 28.08) before the training, but scored(30.49, 28.25) after the training. The differece from the result of the case group is statistically significant (p〈0.001). 4) The correlation analysis of traffic safety education's influence on traffic safety knowledge, attitude, and practice before training shows the relationship between attitude and practice was satistically significant(p〈0.05). The result after the training shows the relationship between knowledge and attitude, attitude and practice, and knowledge and practice was all statistically significant(p〈0.001).