1.The Impact of Health Care Coverage on Changes in Self-Rated Health: Comparison between the Near Poor and the Upper Middle Class.
Health Policy and Management 2016;26(4):390-398
BACKGROUND: This study aims to analyze the impact of levels of health care coverage on the trajectory of self-rated health, comparing the near-poor which tends to be excluded in traditional health care systems with the upper middle class. METHODS: The study participants were 3,687 people who sincerely responded questions regarding health care expenditures, unmet medical needs, and self-rated health in the Korea Health Panel data in 2009-2012. RESULTS: The higher health care expenditures and the presence of unmet medical needs were significantly associated with the lower level of self-rated health. However, both factors did not significantly predict the steeper decline in the self-rated health. The results from multiple group analyses showed that health care expenditures and unmet medical needs had greater impact on the near-poor compared to their higher income counterparts. CONCLUSION: Public health care coverages need to be enhanced as well as reducing health care expenditures and unmet medical needs.
Delivery of Health Care*
;
Health Expenditures
;
Korea
;
Public Health
2.The Relationship between Cancer Screening Rates and Promotional Methods in Incheon Metropolitan City.
Health Policy and Management 2016;26(4):382-389
BACKGROUND: National cancer screening reduces mortality from stomach, colon, breast, and cervical cancer. However, cancer screening rates remain lower than 50% in Korea. This research was designed to make effective guidelines for cancer screening promotion to increase participation rate in cancer screening. METHODS: Data was collected from Incheon regional cancer center's telephone survey ‘Recognition of cancer prevention and control’ of 861 Incheon citizens over age 40. Logistic regression was used to analyse a relationships between cancer screening rates and promotional methods. PASW SPSS ver. 18.0 program (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. RESULTS: About 27.4% of respondents (236 of 861 respondents) have recognized the promotional program of Incheon regional cancer center for cancer screening participation. Cancer screening rate was associated with age group, educational level for stomach cancer, age group, bus advertisement (odds ratio, 1.19 to 2.75) for colon cancer, educational level, residential area for breast cancer, and age group for cervical cancer. CONCLUSION: There was relationship between stomach cancer screening rates and promotional methods. Therefore, cancer screening promotion guidelines to increase participation rate should be considered.
Breast
;
Breast Neoplasms
;
Colon
;
Colonic Neoplasms
;
Data Collection
;
Early Detection of Cancer*
;
Humans
;
Incheon*
;
Korea
;
Logistic Models
;
Mass Screening
;
Methods*
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Mortality
;
Stomach
;
Stomach Neoplasms
;
Telephone
;
Uterine Cervical Neoplasms
3.The Effects of Clinical Education Program for Nurses in Regional Public Hospital.
Yoonhee SHIN ; Kwanjun PARK ; Eunkyung BYUN ; Dongwon LEE ; Woong JU
Health Policy and Management 2016;26(4):373-381
BACKGROUND: The purpose of this study is to evaluate the outcomes of clinical education program for nurses in regional public hospital, utilizing the Kirkpatrick's model. METHODS: Kirkpatrik's 4-level model was applied to this study. Trainees were asked to fill out questionnaires in the middle and at the end of the program. Also administrators of excellent trainees were asked to fill out the questionnaires regarding nursing management performance after 1-2 months from the end of the training course. RESULTS: All trainees had positive reactions to the clinical education program. Not only the results of individual level (satisfaction and achievement scores, academic achievement scores, practical application rate, and educational transition factors) but also the scores of organization level (nursing management performance scores) are improved. CONCLUSION: By showing a correlation between the effectiveness factors we need to verify the relationship between these factors in a future study. In addition, development of quantitative and qualitative performance indicators are needed. To establish a long-term education system, it is required to applying the excellent trainee's successful experiences.
Administrative Personnel
;
Education*
;
Hospitals, Public*
;
Humans
;
Nursing
4.Evaluation of the Validity of Risk-Adjustment Model of Acute Stroke Mortality for Comparing Hospital Performance.
Eun Young CHOI ; Seon Ha KIM ; Minsu OCK ; Hyeon Jeong LEE ; Woo Seung SON ; Min Woo JO ; Sang Il LEE
Health Policy and Management 2016;26(4):359-372
BACKGROUND: The purpose of this study was to develop risk-adjustment models for acute stroke mortality that were based on data from Health Insurance Review and Assessment Service (HIRA) dataset and to evaluate the validity of these models for comparing hospital performance. METHODS: We identified prognostic factors of acute stroke mortality through literature review. On the basis of the avaliable data, the following factors was included in risk adjustment models: age, sex, stroke subtype, stroke severity, and comorbid conditions. Survey data in 2014 was used for development and 2012 dataset was analysed for validation. Prediction models of acute stroke mortality by stroke type were developed using logistic regression. Model performance was evaluated using C-statistics, R2 values, and Hosmer-Lemeshow goodness-of-fit statistics. RESULTS: We excluded some of the clinical factors such as mental status, vital sign, and lab finding from risk adjustment model because there is no avaliable data. The ischemic stroke model with age, sex, and stroke severity (categorical) showed good performance (C-statistic=0.881, Hosmer-Lemeshow test p=0.371). The hemorrhagic stroke model with age, sex, stroke subtype, and stroke severity (categorical) also showed good performance (C-statistic=0.867, Hosmer-Lemeshow test p=0.850). CONCLUSION: Among risk adjustment models we recommend the model including age, sex, stroke severity, and stroke subtype for HIRA assessment. However, this model may be inappropriate for comparing hospital performance due to several methodological weaknesses such as lack of clinical information, variations across hospitals in the coding of comorbidities, inability to discriminate between comorbidity and complication, missing of stroke severity, and small case number of hospitals. Therefore, further studies are needed to enhance the validity of the risk adjustment model of acute stroke mortality.
Clinical Coding
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Comorbidity
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Dataset
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Insurance, Health
;
Logistic Models
;
Mortality*
;
Quality of Health Care
;
Risk Adjustment
;
Stroke*
;
Vital Signs
5.Review of Issues for Disability Weight Studies.
Minsu OCK ; Seulki KO ; Hyeon Jeong LEE ; Min Woo JO
Health Policy and Management 2016;26(4):352-358
Summary measures of population health (SMPHs) have been used to estimate the burden of diseases. Among various type of SMPHs, disability adjusted life year (DALY) and healthy life expectancy (HALE) have been calculated in the global and national burden of disease studies. In order to calculate DALY and HALE, disability weight is an essential element. Disability weights quantify the level of disability for health states or diseases and have values between 0 (full health) to 1 (being dead). In this study, we reviewed the main disability weights studies and determined their meaning and limitations. Furthermore, we provided the whole process of typical disability weight study and reviewed key issues as follows: health state or disease description development, panel composition, valuation method, validation of disability weight, cross-cultural variability in health state or disease, and so on. The results from this study will be helpful to conduct future disability weight studies for adapting disability weights and developing new methodologies.
Life Expectancy
;
Quality-Adjusted Life Years
;
Weights and Measures
6.The Effects of Insurance Types on the Medical Service Uses for Heart Failure Inpatients: Using Propensity Score Matching Analysis.
Soyoung CHOI ; Jin Mi KWAK ; Hee Chung KANG ; Kwang Soo LEE
Health Policy and Management 2016;26(4):343-351
BACKGROUND: This study aims to analyze the effects of insurance types on the medical service uses for heart failure inpatients using propensity score matching (PSM). METHODS: 2014 National inpatient sample based on health insurance claims data was used in the analysis. PSM was applied to control factors influencing the service uses except insurance types. Negative binomial regression was used after PSM to analyze factors that had influences on the service uses among inpatients. Subjects were divided by health insurance type, national health insurance (NHI) and medical aid (MA). Total charges and length of stay were used to represent the medical service uses. Covariance variables in PSM consist of sociodemographic characteristics (gender, age, Elixhauser comorbidity index) and hospital characteristics (hospital types, number of beds, location, number of doctors per 50 beds). These variables were also used as independent variables in negative binomial regression. RESULTS: After the PSM, length of stay showed statistically significant difference on medical uses between insurance types. Negative binomial regression provided that insurance types, Elixhauser comorbidity index, and number of doctors per 50 beds were significant on the length of stay. CONCLUSION: This study provided that the service uses, especially length of stay, were differed by insurance types. Health policy makers will be required to prepare interventions to narrow the gap of the service uses between NHI and MA.
Comorbidity
;
Health Policy
;
Heart Failure*
;
Heart*
;
Humans
;
Inpatients*
;
Insurance*
;
Insurance, Health
;
Length of Stay
;
National Health Programs
;
Propensity Score*
7.Analysis on the Determinants of Therapeutic Materials Expenditure in National Health Insurance.
Jin Ok BYEON ; Ju Hyang LEE ; Yu Ri KIM ; Hye Jae LEE
Health Policy and Management 2016;26(4):333-342
BACKGROUND: The use of therapeutic materials based on new health technology has increased in recent years in the field of medicine, raising concerns for medical practitioners regarding increased spending on the new therapeutic materials amid the rapid population ageing and increase of chronic diseases in Korea. While therapeutic materials have significant importance in the health care system, they have not been given appropriate attention in the academic world of Korea. The purpose of this study is to identify factors that affect the growth of expenditure on therapeutic materials and to derive implications for an effective management considering the diversity of therapeutic materials. METHODS: Using the claims data of the National Health Insurance Services, specific utilization patterns of groups of therapeutic materials in the middle classification level of Health Insurance Review and Assessment Service from 2007 to 2014 were analyzed. Four categories (J5083: drug eluting coronary stent, D0302: nonmetallic anchor, K6014: gauze, K6023: gauze) that exhibit unique patterns with respect to price and volume were selected. Then, decomposition analysis was performed to identify the largest contributor to the spending growth by dividing the products into existing, new, and abandoned products for the period between 2010 and 2013. RESULTS: The effect of new products had larger impact on spending growth than the effect of core items in drug eluting coronary stent (J5083) and nonmetallic anchor (D0302). In addition, existing products in general included items priced relatively lower when compared with another item manufactured by the same company. In the gauze category, however, existing products had the largest impact on expenditure and the effect of volume was greater than that in other categories. CONCLUSION: This study provides evidence that appropriate management measures classified by the characteristics of therapeutic materials are required for therapeutic materials pricing and reassessment in Korea.
Biomedical Technology
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Chronic Disease
;
Classification
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Delivery of Health Care
;
Health Expenditures*
;
Health Status
;
Insurance
;
Korea
;
National Health Programs*
;
Stents
8.The Influence of Violence Experience on the Job Stress among Hospital Employees Working at Administration and Discharging Department.
Yun Young CHOI ; Mi Ah HAN ; Jong PARK ; Seong Woo CHOI
Health Policy and Management 2016;26(4):325-332
BACKGROUND: Workplace violence was recognized to be social problems that might impact the health status and the job satisfaction of employee in hospitals. This study investigated the current status of violence and job stress among hospital employees working at administration and discharging department. METHODS: The study subjects were 213 administrative employees working at 20 general hospitals. Data were collected by self-administered questionnaire that included information such as demographics, job-related characteristics, experience of violence, and job stress. The violence was classified as verbal violence, physical threat, and physical violence occurred by patients and caregivers. Analysis of variance, t-tests, correlation analysis, and multiple linear regression analysis were performed to examine the associated factors with job stress. RESULTS: The levels of verbal violence, physical threat, and physical violence were 1.64±1.08, 0.54±0.67, and 0.04±0.17, respectively. The score of job stress was 2.74±0.50 and it was associated with age, existence of spouse, drinking frequency, subjective health status, disease history, night-time treatment, and public health administration career in simple analysis. In multiple linear regression analysis, the level of verbal violence experience was significantly associated with job stress (B=0.09, p=0.001). Also physical threats (B=0.18, p<0.001) and physical violence (B=0.48, p=0.008) showed positive association with job stress. CONCLUSION: This study attempted to examine the association between experience of violence and job stress in administrative employees at medical institutions. Levels of violence showed positive correlation with the job stress. Environment improvement to protect employee from violence and management of employees who experienced workplace violence are needed to reduce the job stress.
Caregivers
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Demography
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Drinking
;
Hospitals, General
;
Humans
;
Job Satisfaction
;
Linear Models
;
Public Health Administration
;
Social Problems
;
Spouses
;
Violence*
;
Workplace Violence
9.Development and Adjustment of Indicators for Underserved Area.
Mi Young KWAK ; Tae Ho LEE ; Hyeon Seok HONG ; Baeg Ju NA ; Yoon KIM
Health Policy and Management 2016;26(4):315-324
Underserved area is a region that has a lack of healthcare resources. In the context of Korea, however, there are not enough detailed criteria for underserved areas. In this study, we aimed to develop indicators for underserved area through Delphi technique. We systematically reviewed the existing measure of underserved area. Sixty indicators were extracted as candidates across four domains in secondary medical care. Four domains are demand, medical resource, quality of care, and health outcome. To develop indicator, two round Delphi survey was conducted among 15 professional experts such as professionals and public administrators. In conclusion, 2 final indicators (accessibility, medical utilization) was determined as an appropriate measure in order to designate underserved area for secondary medical services. Using our criteria from Delphi technique, 36 areas were found as underserved areas for the secondary medical care.
Administrative Personnel
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Delivery of Health Care
;
Delphi Technique
;
Humans
;
Korea
10.Long-Term Care Utilization among End-of-Life Older Adults in Korea: Characteristics and Associated Factors.
Nan He YOON ; Hongsoo KIM ; Soonman KWON
Health Policy and Management 2016;26(4):305-314
BACKGROUND: The purpose of this study is to examine the characteristics of and factors associated with long-term care (LTC) utilization under public long-term care insurance (LTCI) among end-of-life older adults in Korea. METHODS: Using a 5% sample of older people aged 65 or older and their health and LTC insurance data, two-part model analyses were conducted. We compared LTC uses and their determinants during the last year of life among decedents in the year 2010 with those of survivors. We also compared the medical uses of the same sample with their LTC uses. RESULTS: The end-of-life elderly were more likely to use LTC, and their expenditure on LTC was higher than their counterparts. Whether or not older people used LTC during their last year of life was significantly affected by age, sex, health insurance, household income, and living alone; however, LTC costs of the decedents were only affected by functional status, which may have been due to the reimbursement scheme of the current LTCI, which is mainly based on functional dependency level. For the survivors, having chronic diseases significantly increased the likelihood of LTC use, which was not the case for the decedents. End-of-life elderly with relatively low social economic status were more likely to use the LTC other than medical services, while the health conditions affected their medical uses most significantly. CONCLUSION: The study findings provide key information for predicting demand related to the increasing LTC needs of Korean older people at the end of life.
Adult*
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Aged
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Chronic Disease
;
Family Characteristics
;
Health Expenditures
;
Humans
;
Insurance
;
Insurance, Health
;
Insurance, Long-Term Care
;
Korea*
;
Long-Term Care*
;
Survivors