• PNF and Movement
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• v.22 no.1
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• pp.101-111
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• 2024

Purpose: The purpose of this study was to investigate physical activity as a risk factor for neck pain recurrence using the National Health Insurance Data Sharing Service that utilizes a nationwide cohort in South Korea. Methods: Medical records spanning a two-year period were extracted from the National Health Insurance database for 541,937 patients who sought healthcare services for neck pain (ICD 10 codes: M54.2) in 2020 and completed the national health examination survey. Selected variables for analysis included age, gender, health insurance premium decile, regional health vulnerability index, body mass index (BMI), acuity, blood pressure, and types of physical activity. A mixed-effect multivariate logistic regression analysis was conducted to examine the recurrence rate of neck pain and identify risk factors for neck pain recurrence. Results: Among the participants, 124,433 patients (23.0%) experienced a recurrence of neck pain within two years, with higher recurrence rates observed among older individuals and females. Regression analysis revealed that the risk of neck pain recurrence increased with age (OR=1.51), being female (OR= 1.10), being a medical aid recipient (OR=1.51), and having anaerobic (OR=1.04) or vigorous physical activities (OR=1.06). By contrast, an increased health insurance premium decile (OR=0.96) and having moderate physical activity (OR=0.97) were associated with a decreased risk of neck pain recurrence. Conclusion: This study highlights the importance of moderate physical activity as an effective strategy for reducing the recurrence of nonspecific neck pain, underscoring the necessity for personalized physical activity programs for patients.

• Health Policy and Management
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• v.27 no.2
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• pp.167-176
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• 2017

Background: This study aimed to analyze the impact of community health care resources on the place of death of older adults with dementia compared to those with cancer in South Korea, using public administrative big data. Methods: Based on a literature review, we selected person- and community-level variables that can affect older people's decisions about where to die. Data on place-of-death and person-level attributes were obtained from the 2013 death certification micro data from Statistics Korea. Data on the population and economic and health care resources in the community where the older deceased resided were obtained from various open public administrative big data including databases on the local tax and resident population statistics, health care resources and infrastructure statistics, and long-term care (LTC) insurance statistics. Community-level data were linked to the death certificate micro data through the town (si-gun-gu) code of the residence of the deceased. Multi-level logistic regression models were used to simultaneously estimate the impacts of community as well as individual-level factors on the place of death. Results: In both the dementia (76.1%) and cancer (87.1%) decedent groups, most older people died in the hospital. Among the older deceased with dementia, hospital death was less likely to occur when the older person resided in a community with a higher supply of LTC facility beds, but hospital death was more likely to occur in communities with a higher supply of LTC hospital beds. Similarly, among the cancer group, the likelihood of a hospital death was significantly lower in communities with a higher supply of LTC facility beds, but was higher in communities with a higher supply of acute care hospital beds. As for individual-level factors, being female and having no spouse were associated with the likelihood of hospital death among older people with dementia. Conclusion: More than three in four older people with dementia die in the hospital, while home is reported to be the place of death preferred by Koreans. To decrease this gap, an increase in the supply of end-of-life (EOL) care at home and in community-based service settings is necessary. EOL care should also be incorporated as an essential part of LTC. Changes in the perception of EOL care by older people and their families are also critical in their decisions about the place of death, and should be supported by public education and other related non-medical, social approaches.

• The Korean Journal of Health Service Management
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• v.13 no.4
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• pp.121-132
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• 2019

Objectives: This study analyzed the prescription antibiotics characteristics of Acute respiratory infection outpatients. It provides a basis for establishing the correct evaluation project on appropriate prescribing indicators. Methods: The research data were collected from the National Health Insurance Corporation's 2014 sample cohort for Internal Medicine, Pediatrics, Otorhinolaryngology, Family Medicine and General practitioner clinics classification of diseases codes J00-J06, J20-J22, J40 outpatients. Results: The antibiotic prescription rate on the evaluation project for appropriate prescribing indicators of Health Insurance Review & Assessment Service was 43.54%, whereas in this study it was about 10% higher because the analysis targeted the entire acute respiratory infection diagnosis. Conclusions: There is a need to identify the correct antibiotic prescription by expanding the current assessment standard. Such standard must include acute lower respiratory infections and minor diagnosis because current evaluation projects on appropriate prescribing indicators targets only the major diagnosis of acute upper respiratory infection.

• Journal of Obesity & Metabolic Syndrome
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• v.26 no.1
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• pp.23-27
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• 2017

Background: In Korea, the prevalence of obesity has steadily increased, and the socioeconomic burden of obesity has increased along with it. In 2015, the National Health Insurance Service (NHIS) signed a memorandum of understanding with the Korean Society for the Study of Obesity (KSSO), providing limited open access to its databases so that the status of obesity and obesity management could be investigated. Methods: Using NHIS databases, we analyzed nationwide population-based studies for obesity using the definition of obesity (body mass index ${\geq}25kg/m^2$) in subjects over the age of 20. Age and sex standardization were used for all data. Results: The KSSO released the 'Obesity Fact Sheet 2016' using the 2006-2015 NHIS Health Checkup database. The prevalence of obesity steadily increased from 28.7% in 2006 to 32.4% in 2015, and the prevalence of abdominal obesity also steadily increased from 18.4% in 2009 to 20.8% in 2015. The prevalence of class II obesity steadily increased from 2006 to 2015, such that the total prevalence was 4.8% in 2015 (5.6% in men and 4.0% in women). The highest prevalence of obesity was found in Jeju Island, while the lowest prevalence was found in Daegu City. The highest prevalence of abdominal obesity was also found in Jeju Island, while the lowest prevalence was found in Gwangju City. Conclusion: Based on the Obesity Fact Sheet 2016, a strategy for reducing the prevalence of obesity is needed, especially in Korean men.

• Journal of the korean academy of Pediatric Dentistry
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• v.48 no.2
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• pp.129-139
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• 2021

The purpose of this study was to analyze the characteristics of pediatric and adolescent patients who received sealant after health insurance coverage based on demographic factors such as gender, age, insurance type, care institution and region. Patient Sample Data from the Health Insurance Review and Assessment Service were used for this study. A total of 8,454,636 patients' data were obtained from 2010 to 2017. Of these, 114,680 patients got sealant treatment. Females were more likely to receive sealant treatment than males. 5 - 9 year age group showed the highest number of patients and proportion of treatment. Patients with health insurance were more likely to receive pit and fissure sealant treatment compared to patients with medical aid program. The number of sealant patients and the proportion of sealant treatment were the highest in dental clinics, followed by dental hospitals and public health centers. The number of sealant patients were the highest in Gyeonggi and proportion of sealant patients were the highest in Jeonbuk.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.511-513
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• 2022

Digital Health Care is the convergence of ICT and (non)medical technology, emphasizing the importance of prevent and monitoring health management in terms of new challenging medical paradigm: predictive, preventive, personalized and participatory. Beyond the limited medical industry of long-term care insurance, it is emerging that AI, IoT, Big Data related new services with new technologies in the 4^th revolution era. It is also noted that business field based on test bed is emergent; Caring Robot, wearable devices need to be launched in the market. Diverse service is possible with Big Data and AI etc.

• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.806-816
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• 2017

Purpose: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. Methods: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python. A morphological analysis was performed using KoNLPy. Nodes on a 'comprehensive nursing care service' cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network. Results: A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, 'nursing workforce' and 'nursing service' were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were 'National Health Insurance Service' and 'comprehensive nursing care service hospital.' The nodes with the highest edge weight were 'national health insurance,' 'wards without caregiver presence,' and 'caregiving costs.' 'National Health Insurance Service' was highest in degree centrality. Conclusion: This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.

• Health Policy and Management
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• v.34 no.3
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• pp.226-237
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• 2024

This paper reviewed on understanding the disease network model which represents the relationships, such as risks, pathways, and progression trajectories, among various diseases. By utilizing the disease network models, it visualized the trajectories paths of diseases over time and captured potential relationships between diseases that were previously undiscovered, thereby providing novel insights. This study introduced research cases of disease networks using various domestic and international healthcare data based on graph theory and network models, reviewed the methodologies and applications for constructing disease networks, and suggested the potential for their application in health insurance big data. The paper also discussed the limitations of disease network research and proposed future research directions.

• Health Policy and Management
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• v.27 no.3
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• pp.199-210
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• 2017

Background: This paper aims to demonstrate current health expenditure (CHE) and National Health Accounts of the years 2015 constructed according to the SHA2011, which is a new manual of System of Health Accounts (SHA) that was published jointly by the Organization for Economic Cooperation and Development (OECD), Eurostat, and World Health Organization in 2011. Comparison is made with international trends by collecting and analysing health accounts of OECD member countries. Particularly, financing public-private mix is parsed in depth using SHA data of both HF as financing schemes as well as FS (financing source) as their revenue types. Methods: Data sources such as Health Insurance Review and Assessment Service's publications of both motor insurance and drugs are newly used to construct the 2015 National Health Accounts. In the case of private financing, an estimation of total expenditures for revenues by provider groups is made from the Economic Census data; and the household income and expenditure survey, Korean healthcare panel study, etc. are used to allocate those totals into functional classifications. Results: CHE was 115.2 trillion won in 2015, which accounts for 7.4 percent of Korea's gross domestic product. It was a big increase of 9.3 trillion won, 8.8 percent, from the previous year. Government and compulsory schemes's share (or public share) of 56.4% of the CHE in 2015 was much lower than the OECD average of 72.6%. 'Transfers from government domestic revenue' share of total revenue of HF was 17.8% in Korea, lower than the other contribution-based countries. When it comes to 'compulsory contributory health financing schemes,' 'Transfers from government domestic revenue' share of 14.9% was again much lower compared to Japan (44.7%) and Belgium (34.8%) as contribution-based countries. Conclusion: Considering relatively lower public financing share in the inpatient care as well as overall low public financing share of total CHE, priorities in health insurance coverage need to be repositioned among inpatient care, outpatient care and drugs.

• Journal of Preventive Medicine and Public Health
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• v.54 no.5
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• pp.293-300
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• 2021

The study aims to examine the current status and differences in the burden of disease in Korea during 2008-2018. We calculated the burden of disease for Koreans from 2008 to 2018 using an incidence-based approach. Disability adjusted life years (DALYs) were expressed in units per 100 000 population by adding years of life lost (YLLs) and years lived with disability (YLDs). DALY calculation results were presented by gender, age group, disease, region, and income level. To explore differences in DALYs by region and income level, we used administrative district and insurance premium information from the National Health Insurance Service claims data. The burden of disease among Koreans showed an increasing trend from 2008 to 2018. By 2017, the burden of disease among men was higher than that among women. Diabetes mellitus, low back pain, and chronic lower respiratory disease were ranked high in the burden of disease; the sum of DALY rates for these diseases accounted for 18.4% of the total burden of disease among Koreans in 2018. The top leading causes associated with a high burden of disease differed slightly according to gender, age group, and income level. In this study, we measured the health status of Koreans and differences in the population health level according to gender, age group, region, and income level. This data can be used as an indicator of health equity, and the results derived from this study can be used to guide community-centered (or customized) health promotion policies and projects, and for setting national health policy goals.