Journal of Preventive Medicine and Public Health

Original Article

Incidence and Influencing Factors of Avoidable Mortality in Korea From 2013-2022: Analysis of Cause-of-death Statistics: Jeong Min Yang, Jieun Hwang; J Prev Med Public Health. 2024;57(6):540-551. Published online September 23, 2024; DOI: https://doi.org/10.3961/jpmph.24.232

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Abstract Summary PDF Supplementary Material: Objectives
This study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors influencing AVM.
Methods
First, the avoidable mortality rate (AVMR) was calculated using the Statistics Korea cause-of-death and population data by age and region from 2013 to 2022. Second, a health determinants model was built, and we identified the factors influencing AVM using generalized estimating equations analysis.
Results
Although the AVMR per 100 000 people displayed a steadily decreasing trend from 2013 to 2020, it began to increase in 2021. Meanwhile, Jeonnam, Jeonbuk, Gyeongnam, Gyeongbuk, Chungnam, Chungbuk, and Gangwon Provinces showed a higher AVMR than the national average. The analysis revealed that each 1-unit increase in the older adult population, smoking, perceived stress, or non-local medical utilization was associated with an increase in the AVMR. Conversely, 1-unit increases in the male-to-female ratio, marriage rate, positive self-rated health, local medical utilization, doctor population, influenza vaccination rate, cancer screening rate, or financial independence were associated with decrease in the AVMR.
Conclusions
This study established that the AVMR, which had been continuously decreasing across the 16 regions, shifted to an increasing trend in 2021. We also identified several factors influencing AVM. Further studies are needed to confirm the reasons for this shift in the AVMR and explore the factors that influence AVM across Korea’s 16 provincial and metropolitan regions.; Summary

Korean summary
본 연구는 전국 및 16개 시도의 회피가능사망률 추이를 파악하고 건강결정요인 모형을 통해 영향요인을 파악하기 위함이다. 분석 결과, 전반적으로 2013년부터 2020년까지 회피가능사망률은 감소 추세를 보였으나, 2021년을 기점으로 회피가능사망률이 증가하였으며, 지역별 회피가능사망률의 편차가 존재하였다. 본 연구를 통해 우리나라의 회피가능사망 현황을 파악할 수 있으며, 향후 조기사망 감소를 위한 기초 근거로 활용될 수 있을 것으로 판단한다.

Key Message
This study examines trends in avoidable mortality (AVM) rates across Korea and its 16 provinces, identifying factors using a health determinant model. From 2013 to 2020, AVM rates declined, but an increase was observed from 2021. These findings highlight the current state of AVM in Korea and offer key insights for strategies to reduce premature deaths.

Brief Report

Characteristics and Health Care Spending of Persistently and Transiently High-cost Older Adults in Korea: Sungchul Park, Giryeon Bae; J Prev Med Public Health. 2023;56(5):475-480. Published online September 4, 2023; DOI: https://doi.org/10.3961/jpmph.23.270

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Objectives
This study examined differences in health care spending and characteristics among older adults in Korea by high-cost status (persistently, transiently, and never high-cost).
Methods
We identified 1 364 119 older adults using data from the Korean National Insurance Claims Database for 2017-2019. Outcomes included average annual total health care spending and high-cost status for 2017-2019. Linear regression was used to estimate differences in the outcomes while adjusting for individual-level characteristics.
Results
Persistently and transiently high-cost older adults had higher health care spending than never high-cost older adults, but the difference in health care spending was greater among persistently high-cost older adults than among transiently high-cost older adults (US$20 437 vs. 5486). Despite demographic and socioeconomic differences between transiently high-cost and never high-cost older adults, the presence of comorbid conditions remained the most significant factor. However, there were no or small differences in the prevalence of comorbid conditions between persistently high-cost and transiently high-cost older adults. Rather, notable differences were observed in socioeconomic status, including disability and receipt of Medical Aid.
Conclusions
Medical risk factors contribute to high health care spending to some extent, but social risk factors may be a source of persistent high-cost status among older adults in Korea.

Summary

Korean summary
- 한국에서 65세 이상의 고령층 고비용 환자 그룹 내에서 두 개의 이질적인 그룹을 발견하였다. - 지속적으로 고비용인 환자는 일시적으로 고비용인 환자보다 의료비 지출이 유의미하게 더 많았다. - 두 그룹의 특성을 비교한 결과, 건강요인의 차이도 있었지만 그보다는 사회적 요인의 차이가 더 컸다.

Key Message
- High-cost older adults are heterogeneous in terms of health care spending and sample characteristics in Korea. - Persistently high-cost older adults had significantly higher health care spending than transiently high-cost older adults. - Medical risk factors contribute to high health care spending to some extent, but social risk factors may be a source of persistent high-cost status among older adults.

Citations

Citations to this article as recorded by

Factors Associated with Health Care Spending Among Adults in South Korea
Giryeon Bae, Sungchul Park
Journal of General Internal Medicine.2025;[Epub] CrossRef
Assessing differences among persistent, episodic, and non- high-need high-cost hospitalized children in China after categorization by an unsupervised learning algorithm
Peng Zhang, Bifan Zhu, Linan Wang
Archives of Public Health.2024;[Epub] CrossRef

Original Articles

Identifying, Measuring, and Ranking Social Determinants of Health for Health Promotion Interventions Targeting Informal Settlement Residents: Farhad Nosrati Nejad, Mohammad Reza Ghamari, Seyed Hossein Mohaqeqi Kamal, Seyed Saeed Tabatabaee; J Prev Med Public Health. 2023;56(4):327-337. Published online June 26, 2023; DOI: https://doi.org/10.3961/jpmph.23.059

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Abstract PDF: Objectives
Considering the importance of social determinants of health (SDHs) in promoting the health of residents of informal settlements and their diversity, abundance, and breadth, this study aimed to identify, measure, and rank SDHs for health promotion interventions targeting informal settlement residents in a metropolitan area in Iran.
Methods
Using a hybrid method, this study was conducted in 3 phases from 2019 to 2020. SDHs were identified by reviewing studies and using the Delphi method. To examine the SDHs among informal settlement residents, a cross-sectional analysis was conducted using researcher-made questionnaires. Multilayer perceptron analysis using an artificial neural network was used to rank the SDHs by priority.
Results
Of the 96 determinants identified in the first phase of the study, 43 were examined, and 15 were identified as high-priority SDHs for use in health-promotion interventions for informal settlement residents in the study area. They included individual health literacy, nutrition, occupational factors, housing-related factors, and access to public resources.
Conclusions
Since identifying and addressing SDHs could improve health justice and mitigate the poor health status of settlement residents, ranking these determinants by priority using artificial intelligence will enable policymakers to improve the health of settlement residents through interventions targeting the most important SDHs.; Summary

Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study: Kyungsik Kim, Young-Do Jeung, Jeoungbin Choi, Sue K. Park; J Prev Med Public Health. 2022;55(2):144-152. Published online February 10, 2022; DOI: https://doi.org/10.3961/jpmph.21.396

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Abstract Summary PDF Supplementary Material

Objectives
This study aimed to identify the social and policy determinants of coronavirus disease 2019 (COVID-19) infection across 23 countries.
Methods
COVID-19 indicators (incidence, mortality, and fatality) for each country were calculated by direct and indirect standardization. Multivariable regression analyses were used to identify the social and policy determinants of COVID-19 infection.
Results
A higher number of doctors per population was related to lower incidence, mortality, and fatality rates of COVID-19 in 23 countries (β=-0.672, -0.445, and -0.564, respectively). The number of nurses/midwives per population was associated with lower mortality and fatality rates of COVID-19 in 23 countries (β=-0.215 and -0.372, respectively). Strengthening of policy restriction indicators, such as restrictions of public gatherings, was related to lower COVID-19 incidence (β=-0.423). A national Bacillus Calmette–Guérin vaccination policy conducted among special groups or in the past was associated with a higher incidence of COVID-19 in 23 countries (β=0.341). The proportion of the elderly population (aged over 70 years) was related to higher mortality and fatality rates (β=0.209 and 0.350, respectively), and income support was associated with mortality and fatality rates (β=-0.362 and -0.449, respectively).
Conclusions
These findings do not imply causality because this was a country-based correlation study. However, COVID-19 transmission can be influenced by social and policy determinants such as integrated health systems and policy responses to COVID-19. Various social and policy determinants should be considered when planning responses to COVID-19.

Summary

Korean summary
본 연구는 23개국의 코로나 19 감염 지표 (발생, 사망, 치명)과 관련있는 사회적, 정책적 요소를 확인하고자 하는생태학적 연구이다. 이는 코로나 19 감염 지표에 대한 인과성을 제시하는 연구가 아니기에 주의 깊은 해석이 필요하며 본 연구에서 제시한 사회적, 정책적 요소를 통해 코로나 19 감염에 대한 국가적인 정책을 고려할 수 있을 것으로 기대된다.

Citations

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COVID 19 mortality as a reflection of the quality of health in EU countries
Beáta Stehlíková, Zuzana Vincúrová, Ivan Brezina, Ilona Švihlíková
Economics & Sociology.2023; 16(3): 138. CrossRef
Social and Policy Determinants of COVID-19
Rujittika Mungmunpuntipantip, Viroj Wiwanitkit
Journal of Preventive Medicine and Public Health.2022; 55(3): 307. CrossRef
Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study
Kyungsik Kim, Sue K. Park
Journal of Preventive Medicine and Public Health.2022; 55(3): 308. CrossRef
Country-level and regional COVID-19 burden and determinants across OECD member states and partner countries
Nlandu Roger Ngatu, Kazuto Tayama, Kanae Kanda, Tomohiro Hirao
Environmental Health and Preventive Medicine.2022; 27: 41. CrossRef
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Scoping Review

The Most Important Social Determinants of Slum Dwellers’ Health: A Scoping Review: Farhad Nosrati Nejad, Mohammad Reza Ghamari, Seyed Hossein Mohaqeqi Kamal, Seyed Saeed Tabatabaee, Raheleh Ganjali; J Prev Med Public Health. 2021;54(4):265-274. Published online July 8, 2021; DOI: https://doi.org/10.3961/jpmph.21.073

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250 Download
6 Web of Science
6 Crossref

Abstract PDF

Objectives
Given the importance of social determinants of health in promoting the health of slum residents, this study was conducted with the aim of identifying the main dimensions and components of these determinants.
Methods
This scoping review study was conducted according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A comprehensive search was performed of PubMed, ProQuest, Scopus, and Web of Science for articles conducted from 2010 to the end of 2019. Studies were selected based on inclusion criteria, with a special focus on studies dealing with the social determinants of physical and mental health or illness.
Results
Thirty-three articles were selected to extract information on the social determinants of health. After reviewing the articles, 7 main dimensions (housing, socioeconomic status of the family, nutrition, neighborhood characteristics, social support and social capital, occupational factors, and health behaviors) and 87 components were extracted as social determinants of health among slum dwellers.
Conclusions
This framework could be used by planners, managers, and policy-makers when making decisions affecting the health of these settlements’ residents due to the common characteristics of slums around the world, especially in developing countries.

Summary

Citations

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Rornald Muhumuza Kananura, Peter Waiswa, Ronald Wasswa, Ties Boerma, Cauane Blumenberg, Abdoulaye Maiga
Journal of Urban Health.2024; 101(S1): 107. CrossRef
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Amanda Silva Magalhães, Amanda Cristina de Souza Andrade, Bruno de Souza Moreira, Solimar Carnavalli Rocha, Débora Moraes Coelho, Adalberto Aparecido dos Santos Lopes, Aline Dayrell Ferreira Sales, Amélia Augusta de Lima Friche, Waleska Teixeira Caiaffa
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Health & Place.2023; 83: 103076. CrossRef
Identifying, Measuring, and Ranking Social Determinants of Health for Health Promotion Interventions Targeting Informal Settlement Residents
Farhad Nosrati Nejad, Mohammad Reza Ghamari, Seyed Hossein Mohaqeqi Kamal, Seyed Saeed Tabatabaee
Journal of Preventive Medicine and Public Health.2023; 56(4): 327. CrossRef
Do Community-based Livelihood Interventions Affect Sexual and Reproductive Health and Rights of Young People in Slum Areas of Uganda: a Difference-in-difference with Kernel Propensity Score Matching Analysis
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COVID-19: Original Article

Social Determinants of COVID-19 in Massachusetts, United States: An Ecological Study: Devan Hawkins; J Prev Med Public Health. 2020;53(4):220-227. Published online June 24, 2020; DOI: https://doi.org/10.3961/jpmph.20.256

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Abstract PDF Supplementary Material

Objectives
The aim of this study was to assess how different social determinants of health (SDoH) may be related to variability in coronavirus disease 2019 (COVID-19) rates in cities and towns in Massachusetts (MA).
Methods
Data about the total number of cases, tests, and rates of COVID-19 as of June 10, 2020 were obtained for cities and towns in MA. The data on COVID-19 were matched with data on various SDoH variables at the city and town level from the American Community Survey. These variables included information about income, poverty, employment, renting, and insurance coverage. We compared COVID-19 rates according to these SDoH variables.
Results
There were clear gradients in the rates of COVID-19 according to SDoH variables. Communities with more poverty, lower income, lower insurance coverage, more unemployment, and a higher percentage of the workforce employed in essential services, including healthcare, had higher rates of COVID-19. Most of these differences were not accounted for by different rates of testing in these cities and towns.
Conclusions
SDoH variables may explain some of the variability in the risk of COVID-19 across cities and towns in MA. Data about SDoH should be part of the standard surveillance for COVID-19. Efforts should be made to address social factors that may be putting communities at an elevated risk.

Summary

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BMJ Public Health.2024; 2(2): e000881. CrossRef
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Original Articles

Contextual and Individual Determinants of Mental Health: A Cross-sectional Multilevel Study in Tehran, Iran: Homeira Sajjadi, Gholamreza Ghaedamini Harouni, Hassan Rafiey, Mohammadreza Vaez-Mahdavi, Meroe Vameghi, Seyed Hossein Mohaqeqi Kamal; J Prev Med Public Health. 2020;53(3):189-197. Published online April 14, 2020; DOI: https://doi.org/10.3961/jpmph.19.150

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Abstract PDF

Objectives
Our aim was to answer the following questions: (1) Can mental health variance be partitioned to individual and higher levels (e.g., neighborhood and district); (2) How much (as a percentage) do individual-level determinants explain the variability of mental health at the individual-level; and (3) How much do determinants at the neighborhood- or district-level explain the variability of mental health at the neighborhood- or district-level?
Methods
We used raw data from the second round of the Urban Health Equity Assessment and Response Tool in Tehran (in 2012-2013, n=34 700 samples nested in 368 neighborhoods nested in 22 districts) and the results of the official report of Tehran’s Center of Studies and Planning (in 2012-2013, n=22 districts). Multilevel linear regression models were used to answer the study questions.
Results
Approximately 40% of Tehran residents provided responses suggestive of having mental health disorders (30-52%). According to estimates of residual variance, 7% of mental health variance was determined to be at the neighborhood-level and 93% at the individual-level. Approximately 21% of mental health variance at the individual-level and 49% of the remaining mental health variance at the neighborhood-level were determined by determinants at the individual-level and neighborhood-level, respectively.
Conclusions
If we want to make the most effective decisions about the determinants of mental health, in addition to considering the therapeutic perspective, we should have a systemic or contextual view of the determinants of mental health.

Summary

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Ardavan Mohammad Aghaei, Lawrence Wissow, Ramin Mojtabai, Hadi Zarafshan, Zahra Shahrivar, Amir Hossein Nikzad, Vandad Sharifi
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Hend Gabr, Mohammed Baragilly, Brian H. Willis
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The Impact of the Financial Crisis on Lifestyle Health Determinants Among Older Adults Living in the Mediterranean Region: The Multinational MEDIS Study (2005-2015): Alexandra Foscolou, Stefanos Tyrovolas, George Soulis, Anargiros Mariolis, Suzanne Piscopo, Giuseppe Valacchi, Foteini Anastasiou, Christos Lionis, Akis Zeimbekis, Josep-Antoni Tur, Vassiliki Bountziouka, Dimitra Tyrovola, Efthimios Gotsis, George Metallinos, Antonia-Leda Matalas, Evangelos Polychronopoulos, Labros Sidossis, Demosthenes B. Panagiotakos; J Prev Med Public Health. 2017;50(1):1-9. Published online December 19, 2016; DOI: https://doi.org/10.3961/jpmph.16.101

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Abstract PDF

Objectives
By the end of the 2000s, the economic situation in many European countries started to deteriorate, generating financial uncertainty, social insecurity and worse health status. The aim of the present study was to investigate how the recent financial crisis has affected the lifestyle health determinants and behaviours of older adults living in the Mediterranean islands.
Methods
From 2005 to 2015, a population-based, multi-stage convenience sampling method was used to voluntarily enrol 2749 older adults (50% men) from 20 Mediterranean islands and the rural area of the Mani peninsula. Lifestyle status was evaluated as the cumulative score of four components (range, 0 to 6), that is, smoking habits, diet quality (MedDietScore), depression status (Geriatric Depression Scale) and physical activity.
Results
Older Mediterranean people enrolled in the study from 2009 onwards showed social isolation and increased smoking, were more prone to depressive symptoms, and adopted less healthy dietary habits, as compared to their counterparts participating earlier in the study (p<0.05), irrespective of age, gender, several clinical characteristics, or socioeconomic status of the participants (an almost 50% adjusted increase in the lifestyle score from before 2009 to after 2009, p<0.001).
Conclusions
A shift towards less healthy behaviours was noticeable after the economic crisis had commenced. Public health interventions should focus on older adults, particularly of lower socioeconomic levels, in order to effectively reduce the burden of cardiometabolic disease at the population level.

Summary

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Journal of Public Health.2018; 40(4): 703. CrossRef
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Research Support, Non-U.S. Gov't

Participation Determinants in the DRG Payment System of Obstetrics and Gynecology Clinics in South Korea.: Jung Kook Song, Chang yup Kim; J Prev Med Public Health. 2010;43(2):117-124.; DOI: https://doi.org/10.3961/jpmph.2010.43.2.117

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Abstract PDF

OBJECTIVES
The Diagnosis Related Group (DRG) payment system, which has been implemented in Korea since 1997, is based on voluntary participation. Hence, the positive impact of this system depends on the participation of physicians. This study examined the factors determining participation of Korean obstetrics & gynecology (OBGYN) clinics in the DRG-based payment system. METHODS: The demographic information, practice-related variables of OBGYN clinics and participation information in the DRG-based payment system were acquired from the nationwide data from 2002 to 2007 produced by the National Health Insurance Corporation and the Health Insurance Review & Assessment Service. The subjects were 336 OBGYN clinics consisting of 43 DRG clinics that had maintained their participation in 2003-2007 and 293 no-DRG (fee-for-service) clinics that had never been a DRG clinic during the same period. Logistic regression analysis was carried out to determine the factors associated with the participation of OBGYN clinics in the DRG-based payment system. RESULTS: The factors affecting participation of OBGYN clinics in the DRG-based payment system were as follows (p<0.05): (1) a larger number of caesarian section (c/sec) claims, (2) higher cost of a c/sec, (3) less variation in the price of a c/sec, (4) fewer days of admission for a c/sec, and (5) younger pregnant women undergoing a c/sec. CONCLUSIONS: These results suggest that OBGYN clinics with an economic practice pattern under a fee-for-service system are more likely to participate in the DRG-based payment system. Therefore, to ensure adequate participation of physicians, a payment system with a stronger financial incentive might be more suitable in Korea.

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English Abstract

Determinants of Sterilization among Married Couples in Korea.: Ju Hee Kim, Woojin Chung, Sunmi Lee, Moonhee Suh, Dae Ryong Kang; J Prev Med Public Health. 2007;40(6):461-466.; DOI: https://doi.org/10.3961/jpmph.2007.40.6.461

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Abstract PDF: OBJECTIVES
The purpose of this study was to examine the determinants of sterilization in South Korea. METHODS: This study was based on the data from the Korea National Fertility Survey carried out in the year 2000 by the Korea Institute of Health and Social Affairs. The subjects of the analysis were 4,604 women and their husbands who were in their first marriage, in the age group of 15-49 years. The data were analyzed by multiple logistic regression analysis. RESULTS: Consistent with the findings of previous studies, the woman's age and the number of total children increased the likelihood of sterilization. In addition, the year of marriage had a strong positive association with sterilization. Interestingly, the number of surviving sons tended to increase the likelihood of sterilization, whereas the woman's education level and age at the time of marriage showed a negative association with sterilization. Religion, place of residence, son preference, and the husband's education level, age and type of occupation were not significant determinants of sterilization. CONCLUSIONS: The sex of previous children and lower level of education are distinct determinants of sterilization among women in South Korea. More studies are needed in order to determine the associations between sterilization rate and decreased fertility.; Summary

Original Articles

Predictors of Smoking Cessation in Outpatients.: Yune Sik Kang, Jang Rak Kim, Joung Soon Jang, Young Sil Hwang, Dae Yong Hong; Korean J Prev Med. 2003;36(3):248-254.

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Abstract PDF: OBJECTIVE
This study was conducted in order to investigate predictors of smoking cessation in outpatients. METHOD: Subjects were 401 adult smoking patients who saw their doctors in the outpatient setting at a university hospital, regardless of their willingness of otherwise in smoking cessation. Physicians delivered a brief, stop smoking prompt to all patients who smoked one or more cigarettes a day. Then they referred to on-site counselors who provided a brief, nurse assisted intervention with a survey to a randomly assigned intervention group (200 smoking patients), whom the counselors telephoned later to prevent relapse or promote the motivation to quit, or gave only a survey to a control group (201 smoking patients). After at least 5 months, self-reported current smoking cessation was confirmed later using cut-off values of 7 ppm or less in expired alveolar air after breath holding portable CO analyzer. RESULTS: After 5 months, subjects in the intervention group were 1.56 times (95% C.I. 0.89-2.73) more likely to quit smoking than those in the non-intervention group (14.0% vs. 9.0%). Willingness to quit smoking in a month, scheduled admission in a month, self efficacy score and FTND (Fagerstrom Test for Nicotine Dependence) score were all significantly related with smoking cessation. In stepwise multiple logistic regression, previous attempts to quit smoking were significant instead of self efficacy score. In the intervention group who had willingness to quit smoking in a month (132 smoking patients), FTND score, whether quit date was today, and whether quit promise paper was submitting were all significantly related with smoking cessation. In stepwise multiple logistic regression, scheduled admission in a month and whether quit date was today were significant predictor variables. Smoking cessation treatment should be tailored to individual smoking patients considering these predictors.; Summary

Determinanats of Health Care Utilization of the Physically Disabled.: Keon Yeop Kim, Young Sook Lee, Ki Soo Park, Jae Hee Son, Sin Kam, Byung Yeol Chun, Jae Yong Park, Min Hae Yeh; Korean J Prev Med. 1998;31(2):323-334.

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Abstract PDF: To investigate determinants of health care utilization of the physically, disabled over 20 years old in age living in Taegu city, a self-administered questionnaire survey was carried out for 337 disabled persons with chronic illness from April to July, 1997. Health care utilization rate was 81.9%(69.l% for hospital or clinic and 12.8% for pharmacy). Marital status, job, health concern, and response to illness showed statistically, significant relationship with health care utilization(p<0.05). By, path analysis, job, economic status, medical security type and response to illness had a significant direct effect on health care utilization(p<0.05), however, health concern and regular source of care had an indirect effect. The reasons of no health utilization were due to economic problem(31.l%), no symptom(18.0%), inconvenience to seek care or no accompanying persons to be helped(14.8%), unseriousness of the severity of the illness(14.8%), too busy to be treated or no free time(8.2%), hopeless prognosis to be treated(6.6%) in order. In conclusion, it is recommended that the program for expanding medicaid, improving socioeconomic status by getting a job and health education to increase the health Concern toward physically disabled should be implemented to increase health care utilization rate.; Summary

Drug Abuse Status and Its Determinants of Male High School Students in Taegu.: Jung Rak Nam, Sin Kam, Jae Yong Park, Chang Hyun Han, Young Ae Ha; Korean J Prev Med. 1996;29(3):451-470.

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Abstract PDF: To identify the drug abuse status and its determinant factors in high school boys in Taegu, the study was performed from April to May, 1995. Study population were selected by cluster sampling method and total 5,665 students replied to the self-administered questionnaire survey(2,207 in academic high school, 3,458 in business high school). The major findings were as follows; The proportion of drinking, smoking experience was 55.0%, 45.8%, respectively, and the proportion of current drinker, current smoker was 27.2%, 27.5%. The drinking, smoking experience rate of second grade students was higher than first grade and it was higher in business high school boys. The proportion of a stimulant, a hallucinogen, hemp leaf cigarets experience was 3.2%, 1.6%, 0.1%, respectively. Drug abuse had significant association with home environment(lower economic status, frequent move, death of father or mother, apart from family), parents environment(parents' indifference, parents' drinking and smoking, etc.), school life(lower school grades, intimate friend's drug abuse, etc.), generous attitude to drug abuse, higher level of stress. Students who replied that the law prohibited immature person(students) from drinking and smoking showed lower drug abuse rate. In multiple logistic regression analysis, second grade students, business high school students, parents' indifference, lower school grades, intimate friend's drug abuse, no recognition of the fact that the law prohibits high school students from drinking and smoking, generous attitude to drug abuse, higher level of stress were significantly related with alcohol abuse and smoking. Other drugs abuse were related with above factors. On consideration of above findings, to prevent students from drug abuse, we have to try together in house, school, and society.; Summary

A Comparative Study on Medical Utilization between Urban and Rural Korea.: Kyungshik Joo, Hanjoong Kim, Sunhee Lee, Hyeyoung Min; Korean J Prev Med. 1996;29(2):311-330.

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Abstract PDF: This study was designed to compare the level of medical utilization between the urban and rural areas of Korea and to explain the differences between the two regions. Data from the National Health Interview survey performed by the korean Institute of Health & social Affairs in 1992 were used for this study utilizing a sample size of 21,841 people. The level of medical utilization such as the number of physician visits and the number of hospital admissions was compared between the regions with ANOVA. Various determinants for medical use were also compared by univariate analysis. Statistical models which included enabling factors, predisposing factors, need factors and region were constructed for bivariate analysis in order to further elucidate the level of medical utilization. The results were as follows: 1. There was greater medical use, both in terms of physician visits and inpatient care in the rural areas in spite of insufficient health resources. The particular reasons for higher medical utilization in rural areas were attributed to a higher number of initial physician visits as well as a longer the length of stay per hospital admission. Therefore, indicators representing the degree of met need (utilization/need) showed no significant difference between rural and urban areas in spite of the fact that the medical need is larger in rural areas. 2. Use of public health facilities received a significant portion of physician visits in the rural area. The government's effort to enhance primary health care through health centers, health subcenters and the nurse practitioner's post in rural areas has contributed to the increase of access to medical care in the rural areas. 3. There were some differences in the socio-demographic characteristics between two regions; There were more elderly people over the age of 65; unstable marital status, less education and lower incomes also characterized the rural areas. Therefore, among rural people, there were more predisposing factors for medical use. Additionally, need factors such as poor self-reported health status and high morbidity level were also high in the rural area. 4. In contrast it was learned that, the supply of health resources was mostly concentrated in the urban areas except for public health facilities. Therefore, geographical access to medical care was lower in the rural area both in terms travel time and travel cost. 5. The coefficient of the region variable was insignificant in the regression model which controlled the supply factor only However, utilization was significantly higher in urban areas if the model included predisposing factors and need factors in addition to the supply factor. The results were interpreted as rural people have greater medical needs.; Summary

Determinant Factors for Expenditure of the Medical Insurance Program for Self-Employeds.: Sin Kam, Jae Yong Park, Min Hae Yeh; Korean J Prev Med. 1995;28(1):153-173.

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Abstract PDF: This study was conducted to examine the determinant factors for expenditure of the medical insurance program for self-employeds based on the analysis of 1991 "The Medical Insurance program for self-Employeds Statical Yearbook", and also similar yearbooks in the metropolitan and other provinces. The major findings are as follows: We have divided benefits into these four components such as the utilization rate for out-patients. expenses per claim for out-patients as paid by the insurer, utilization rate for in-patients, and the expenses per claim for in-patients as paid by the insurer, in order to examine the determinant factors for it. The results of the study revealed the following findings: in urban areas, the supply of medical care had more influence on the benefits than other demographic and economic variables, while, in county areas, both the supply of medical care and the rate of those aged over 65 affected the provision of benefits. The determinant factors for financial balance of the medical insurance program for self-employeds are: first, the determinant factor for administrative expenses was the number of households. The more the number of household, the less the administrative expenses per the insured. This shows that the economy of scale is being. And so, the administrative district must be taken into consideration in the incorporation of small regional medical societies and should be re-organized for more efficient management. Second. in urban areas. the supply of medical care had more influence on utilization rate and expenses per claim as paid by insurer, and therefore it is necessary to control it. In county areas the supply of medical care and the rate of those aged over 65 raised the utilization rate and expenses per claim as paid by insurer. For the financial stability of county areas. a common fund for medical care for the aged and expansion of finance stabilization fund would be necessary. But, in county areas, it would be unnecessary to control the supply of medical care because it was much more insufficient than in urban areas. The vitalization of public health facilities must be carried out in county areas, for they reduced benefits. Since the more insured in a single household, the less the utilization of the medical insurance program, benefits for habilitation at home should be given consideration. The law of majority and the economy of scale were applied here, and therefore the incorporation of regional medical societies must be taken into consideration. In integrating regional medical societies, it would be absolutely necessary to review the structural differences among all regional medical societies, the medical demand of each region, and also the local characteristics of each region.; Summary

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