한국보건사회연구원

본 연구는 보건복지데이터포털을 기반으로 보건복지 관련 정형ㆍ비정형통계, 마이크로데이터, 국내외 Micro&Macro Data 등을 수집ㆍ분석하여 다양한 형태의 콘텐츠로 제공하는 종합적인 보건복지통계 서비스 체계를 구축ㆍ운영하고 있다.
2020년은 보건복지데이터포털의 비표준기술 제거 및 사이트 리뉴얼을 실시하여 웹사이트 접근성을 향상시켰다. 한편, 마이크로데이터 이용료 정책을 개정하여 무료로 사용할 수 있게 함으로써 마이크로데이터 이용자가 급격히 증가하는 성과를 거두었다. 그 외에도 보건복지 관련 시도 통계 업데이트, 비정형 소셜데이터의 Raw Data 공개, 국내외 Micro&Macro Data 신규 발굴ㆍ제공, 미승인 마이크로데이터 신규 공개, 통계시각화 및 인포그래픽스 확대 등 콘텐츠의 양적ㆍ질적 강화에 노력하였다.||Current study operates the Health and Welfare Data Portal System through which the collected health & welfare statistics, micro-data is provided to the public. Launched in 2011, the Health and Welfare Data Portal provides a variety of survey related meta data produced through KIHASA’s research, and from world-wide, micro data produced by surveys.
‘Social Statistics’ is a new service that was constructed in 2018, which provides statistical data on SNS opinions about Health and Welfare Policy. From 2019, we released social data on health and welfare collected every month.
In 2020, raw data of social statistics is being released on the portal. We have created an environment that is easily accessible for users. In addition, we changed the services policy so that it can be used free of charge in order to activate the use of survey micro data, and improved meta information of statistics produced by our institute among health statistics submitted to the OECD.

This study aimed to explore ways to improve accessibility to mental health and mental health services by identifying barriers that hinder access to mental health services. This study found poor alignment between the demand and the supply of mental health services. Secondly, this study found that the Korean general public holds strong negative stigma and discrimination toward mental health services and people with mental illness. Thirdly, we identified two personas which represent the typical models of mental health consumers in Korea.
From the study, we summarized differences in needs of consumers to promote accessibility to mental health services by the levels of knowledge, perception, and the severity of mental health problems, and pathways that consumers go though with mental problems. Based on these differences, we suggested different strategies to improve accessibility to mental health services.

본 연구는 지역의 인구구조 변화와 특성, 이에 따른 다양한 인구 집단의 각기 다른 삶의 질을 분석하고, 지역별 삶의 질 격차가 인구이동이 미치는 영향을 분석하여 인구구조 변화와 삶의 질 격차에 대응하는 정책방향을 모색하였다. 이를 위해 첫째, 기초지방자치단체별로 인구 집단별 인구구조의 변화와 특성을 분석하였으며, 둘째, 지역 유형에 따른 연도별, 인구 집단별 삶의 질을 비교하여 삶의 질의 변화와 지역간 격차를 살펴보았다. 셋째, 전입지와 전출지의 인구와 거리에 기반을 둔 중력모형을 이용하여 지역간 인구이동과 전입지 전출지간 삶의 질 격차를 파악하였다. 넷째, 주요 정책대상(여성, 청년, 노인, 저학력자)를 중심으로 인구집단별 삶의 질 개선방안을 도출하였다.
본 연구는 지역별 삶의 질 제고를 위한 방안을 제시하여, 지역의 인구구조 변화에 따른 지역간 삶의 질 격차 완화를 위한 정책 마련의 기초자료를 제공하였다는 측면에서 의의를 갖는다.

본 연구는 초저출산화 현상이 한국 사회에서 장기적으로 지속되고 있는 상황에서 출산지원정책의 효과를 증거기반 정책 평가에 기초하여 검토하였다. 이를 위해 본 연구에서는 첫째, 출산지원금 정책을 각 지방자치단체 단위에서 설계되고 실행되는 방식으로 유형화하였으며, 둘째, 출사지원금 정책이 출산율에 미친 효과를 인과추론모형을 적용하여 추정하였다. 셋째, 출산지원금 정책의 효과에 대한 공간분석을 통해 출산지원금 정책의 지역적 군집 경향을 고려하여 본 정책이 출산율에 끼친 효과를 추정하였다.
본 연구는 향후 저출산 정책 수립에 있어 증거기반 정책 평가를 통한 합리적이고 실효성 있는 정책 마련의 기초자료로 활용될 수 있는 기반을 마련하였다는 측면에서 큰 의미를 갖는다.

In 2019, this research was to research and analyze the determinants of an walking-promoting program using information and communications technology(ICT), a policy initiative that has been planned by a local Public Health Centre in a southern city of Gimhae. This study adopted general procedures of Health Impact Assessment, including literature review of population characteristics and survey of residents and leaders.
Results of this study concluded that ICT can be a health promoting tool for motivation for behavior change and challenges. There was a need to tailor exercise-encouraging measures differently according to the needs of different age groups as well.

In this report, recognizing the need for a new paradigm of population policy capable of responding with greater flexibility to the falling birth rates and aging of Korean society, we explore, in depth, the forecasted changes of various aspects of society due to these demographic changes, and identify policy implications for Korean society in the future. Our focus is the sweeping and macro-level effects of demographic changes due to the decrease in the number of newborns and the overall population, on the one hand, and population aging, on the other.

Demographic changes are entwined with social changes at large, requiring diverse policy measures for concerted structural responses. Policymakers should thus design policies that have room for flexibility and growth, while closely monitoring demographic changes, so as to help individuals adapt to social changes while also respecting their freedom of choice. Policy responses are expected to exert transformative effects on all areas of policymaking, including economics, finance, social security, transportation, and the urban environment. Active efforts are needed to minimize and counter the adverse effects of these demographic changes in all these areas. We expect our analysis to contribute to the efforts being made to help Korea better manage its falling birth rates and population aging by shifting the focus of future social policy from meeting abstract policy objectives to enhancing quality of life for individuals.

인구구조 변화와 그에 따른 파급효과는 사회 전 분야에서 광범위하게 나타나며, 이를 해소하기 위한 정부의 정책적 대응 역시 다양한 차원에서 이루어진 바 있다. 우리 원은 국민의 삶의 본질과 정부 정책 대응간 유기적 연결을 강화하고자, 인구포럼을 기획하여 올해로 7년째 운영하고 있다.

2020년도 인구포럼은 우리사회가 당면한 현실에 보다 가까이 다가가고자 노력하였다. 이에 제1차 인구포럼에서는 ‘젠더관점에서 저출산 대응을 위한 사회구조 분석’을 주제로, 제2차 인구포럼에서는 ‘세대 공감’을 주제로, 제3차 인구포럼에서는 ‘감염병 확산에 따른 국내외 노인 돌봄 환경 변화와 대응방안’을 주제로 진행하였다.

본 보고서에서는 세 차례의 인구포럼을 통해 발표된 발표문과 토론자들의 토론 내용을 담고 있다. 이같은 논의가 인구문제와 관련한 정부 정책, 사회 대응에 대한 대국민 접점의 기제로써 적극적으로 활용되기를 희망한다.

In the global pharmaceutical market, new drug R&D never stops. Technological innovations have made it possible to design treatments for what have been regarded as severe and intractable diseases, and groundbreaking drugs with the capability to provide fundamental cures continue to enter the market. These inventions not only expand the scope of available treatments, but also demand fundamental changes in regulations, medical cost calculations, and health systems, at an increasingly accelerated pace.
The fiscal sustainability of health systems is a pressing issue faced by each and every nation today, and accountability is required of all stakeholders to ensure it. New drugs carry great uncertainty in terms of clinical effectiveness, fiscal impact, and cost-effectiveness. Risk Sharing Agreements on these drugs attest to the importance of sharing fiscal risks. As risks are determined and shared in relation to the aggregate health expenditure, payers and the industry alike, as well as the medical community and the public, should participate and share risks. It is high time for us to start serious discussions on how to ensure that all participants are held accountable for their behavior and decision-making, particularly by enforcing the self-regulation of medical practitioners, reforming the National Health Insurance payment system, and making coverage and its continuation dependent on technology evaluation.

Over 13,000 people end their lives by suicide each year in Korea, ranking the country at the top of the Organisation of Economic Cooperation and Development (OECD) rankings of suicide rates. The central focus of this study is the first stage of suicide prevention policy―namely, the stage in which who should be targeted by the policy is decided and how groups at high risk of suicide are to be identified.
Ascertaining the demand for policy support and whom the policy should benefit and deciding the policy tasks accordingly should be prioritized before establishing a policy plan. Also, it is crucial to continue conducting research on people at high risk of suicide and develop a more evidence-based approach to suicide prevention. Finally, the individuals and groups that make up a given society all bear the duty to help realize a safe and reassuring environment and form mutually supportive relationships with friends, families, and neighbors.

The purpose of this study is to establish a convergence and linkage system that can bridge the gap between health welfare policy and technology, assuming that new technology is a means to increase the effectiveness and efficiency of health welfare policy. Big data analysis is used as a basis for establishing evidence-based policies in the process of establishing health and welfare policies, and new technologies such as artificial intelligence (AI) can greatly increase their utility value when combined with big data.
This study is a mid-term task for three years. In this year, the first year, we will derive welfare demands that people can feel based on big data and present the current state and direction of new technology application.