This study is conducted to investigate the current status on the utilization of health care and plan for solving this problem. The claims data of the fiscal tear 1995 obtained from the regional health insurance society are used for the study. The main findings of the study are summarized as follows. Indexes(The Extremal Quotient(EQ), coefficients of variance(CV's))which represent the regional difference in the admission rate of the tertiary medical diagnosis group report that there is difference in quantity and quality of utilization of health care. The admission rate is lower in the big city areas, Kyoungkido, Kangwondo and Chunlapukdo. Even after age-sex adjustment, the admission rate is still low in Kangwondo, Chunlapukdo and Kyoungsangpukdo. The big city areas tend to have higher rates in the expenses per claim, hospital days per claim, and daily expenses but the rates are still low in some area in Kangwondo, Chunlanamdo and Kyoungsangpukdo. This result remains as same after age-sex adjustment. There is a large regional difference in average utilization rate for the tertiary hospital of the tertiary medical diagnosis group: 57.2%(SD 11.53). The utilization rates for the tertiary hospital in their large catchment area are 96.34%, 83.19% and 73.22% in each Kyoungin, Kyoungnam and Kyoungpuk areas whereas it is lower in a Chungpuk and Chungnam areas. The regional differences of health care utilization of the tertiary medical diagnosis group gave some relationships with their geographical characteristics such as socio-economic characteristics and supply factors of medical services. It is important that many medical policies should be developed in order to minimize and balance out the regional differences of health care utilization. The service allocation policy should include the reconstruction of manpower policy, developing the resource allocating formula, finding the self-sufficient catchment area and reforcing of public health services. Moreover, in order to achieve the balanced development by region, they should investigate and consider each county's microscopic properties under the consistent macrocopic policy. The further studies to find causes of regional difference are needed.
Objectives: Several practice guidelines recommended both medication and behavior modification to control hypertension. The objective of this study was to analyze ambulatory care utilization pattern and related factors. Methods: A retrospective cohort study was conducted among 45,267 new users who initiated treatment with hypertensive drugs in 2003. Korean National Health Insurance Claims Data was used to study the medical care utilization behavior and related factors after treatment initiation for up to four years. Taking prescription was considered as medical care utilization. Results: More than 20% of patients discontinued visiting physicians for prescription after initiating antihypertensive drug therapy. The average number of institutions visited by patients was about 1.3 annually. Clinic was the most frequently visited institution by patients. In GEE analysis, probability of continuous visit one institution after initiating antihypertensive drug treatment increased in patients who were women, old, have comorbidity, visited clinic or hospital mainly in previous year. Conclusions: Young hypertensive male patients who have no major comorbidity showed high possibility to discontinue medical service utilization. It is necessary to educate these targeted patients about importance of hypertension management in early stage after treatment initiation.
This study was to examine the effects of insurance coverage on the utilization of public health institutions and to identify the factors associated with the utilization. The data were obtained from household interview surveys conducted twice in Hwachun Gun, Kangwon Do. The time period covered in the first survey was December $17{\sim}31$, 1987, before the implementation of regional medical insurance for the self-employed, and that of the second survey was January 28 $\sim$ Febuary 11, 1990, after its implementation. Major findings emerged from the analysis can be summarized as follows (1) Medical care utilization of rural people markedly increased after they were covered by medical insurance. The insurance coverage increased the utilization of public health institutions as well, and this increase was mainly attributable to the utilization by chronically ill patients. (2) Between 1987 and 1990, the proportion of the utilization of public health institutions over whole medical care utilization decreased. But the proportion increased for chronically ill patients covered by regional medical insurance during the same time span. (3) The results of logistic regression suggested that the rural self-employed utilized public health institutions at an increased rate after they were covered by medical insurance. It was also indicated that the increase resulted from the utilization by chronically ill patients. (4) The relative importance of public health institutions for rural medical care decreased after the implementation of regional medical insurance. But considering that the utilization of public health institutions by chronically ill patients increased after insurance coverage, attention should be directed to improving the capability of public health institutions to control chronic degenerative diseases.
Kim, Woorim;Nam, Chung Mo;Lee, Sang Gyu;Park, Sohee;Kim, Tae Hyun;Park, Eun-Cheol
Health Policy and Management
/
v.29
no.4
/
pp.513-522
/
2019
Background: South Korea operates a Medical Aid (MA) program targeting selected low-income individuals to ensure medical service delivery to the disadvantaged while enhancing self-sufficiency of work-capable beneficiaries. However, as reasons behind welfare exits are diverse and do not always infer poverty relief or the provision of appropriate levels of health care services, this study aimed to investigate the association between changes in MA status and health care utilization. Methods: This study used the 2006 to 2015 National Health Insurance claims data. The impact of changes in annual MA status on health care utilization (yearly number of outpatient visits, inpatient visits, length of stay, and emergency department [ED] visits) was investigated using the generalized estimating equation model. Results: In 117,943 adult subjects aged 20 to 64, compared to the 'MA to MA' group, the 'MA to MA exit' group showed general decreases in utilization (outpatient visits: β=-3.93, p<0.0001; hospital admissions: relative risk [RR], 0.87; 95% confidence interval [CI], 0.83-0.91; length of stay: β=-3.64, p<0.0001; ED visits: RR, 0.83; 95% CI, 0.77-0.90). Similar patterns were found in the 'MA exit to MA exit' group (outpatient visits: β=-5.72, p<0.0001; admissions: RR, 0.91; 95% CI, 0.87-0.94; length of stay: β=-5.87; p<0.0001; ED visits: RR, 0.81; 95% CI, 0.75-0.88). Likewise, in 74,747 older adult subjects aged 65 or above, the 'MA to MA exit' group showed reduced levels of utilization (outpatient visits: β=-1.51; p=0.0020), as well as the 'MA exit to MA exit' group (admissions: RR, 0.92; 95% CI, 0.89-0.95; length of stay: β, -5.45; p<0.0001; ED visits: RR, 0.90; 95% CI, 0.83-0.97). Conclusion: MA exit was associated with general decreases in health care utilization. Utilization patterns of individuals with experiences of receiving MA benefits should be monitored to promote the ideal use of health care services while preventing potential financial barriers present in accessing medical care.
Journal of agricultural medicine and community health
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v.41
no.4
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pp.183-194
/
2016
Objectives: The purpose of this study was to investigate the differences of capacity of local health organization to regional characteristics and the influence of organizational capacity on organizational performance. Methods: The study used the secondary data for 160 local public health organizations from $5^{th}$ Community Health Plans and 2009 Community Health Survey. The collected data were analyzed using one-way ANOVA and multiple regression analysis. Results: Work force and budget showed differences in regional size and elderly population rate. And consumer satisfaction and health care utilization showed differenced in work force and budget. The regression model with total number of employee, number of registered nurses, number of doctors and budget against consumer satisfaction was statistically significant (F=14.70, p=<.001), and number of registered nurses was identified as a factor influencing consumer satisfaction. This model also explained 20.5% of service satisfaction. The regression model for consumer satisfaction was statistically significant (F=45.98, p=<.001), and total number of employee nurses was identified as a factor influencing health care utilization. This model also explained 53.1% of utilization. Conclusions: The findings of this study imply that organizational capacity as work force and budget should be increased to improve the organizational performance as consumer satisfaction and health care utilization.
This study seeks to provide a framework for understanding differential access to medical care. The framework is provided by Anderson Model, a model of health services utilization which suggests a sequence of predisposing, enabling, illness-morbidity characteristics that determine the number of times people will visit a physician. The framework in this study is composed of two models, one is for Adults and the other is for Non-Adults. Models are operationalized using stepwise multiple regression analysis and path analysis. The data come from a national health survey conducted in 1983. The findings of the analysis can be summarized as follows : First, the causal models used in this study are able to explain only a small amount of the variance in medical care utilization(Adjusted $R^2$ is .144 in the Model for Adults and .243 in that for Non-Adults). This finding suggests that we reconsider the utility of such existing model using the predisposing, enabling, and illness-morbidity characteristics in light of their poor correspondence with these data. Second, while small amount of the valiance in medical care utilization is explained, most of the explained variance is due to the illness-morbidity characteristics. The path coefficients of study variables except illness-morbidity variables show these characteristics to be substantially unrelated to medical care utilization, and the indirect effects of the predisposing and edabling characteristics on medical care utilization are also negligible. This casts doubt on the importance of the predisposing and enabling characteristics in explaining medical care utilization. Third, among the predisposing and enabling characteristics, Medical Security variable is the only one having significant direct effect on medical care utilization in both models for Adults and for Non-Adults. Fourth, the amount of the variance explained in the Model for Non-Adults is more than in the Model for Adults. This suggests that medical care utilization of adults is more influenced by behavioral factors than that of children.
Purpose: This study aimed to classify nursing interventions by developing a list of interventions for family nursing care. Methods: A new intervention list was confirmed after the researchers' discussion and professional consult. All possible interventions were re-organized. Results: Five grand categories were identified, which include health education, providing direct nursing care, utilization and referral of community resources, reinforcing family resources, and stress management. The category of health education consists of anticipatory guidance, training and education, providing information, and consult and motivation. The category of providing direct nursing care consists of identifying problem, providing technical nursing, providing family tailored nursing care, family contract, monitoring or evaluation, and collaboration with experts. The utilization and referral of community services includes utilization of health care facilities, utilization of social welfare facilities, use of neighbors, friends, and relatives, connecting to professionals or supporting groups, and utilization of other sources. Reinforcing family resources includes reinforcing economic resources, reinforcing physical resources, and reinforcing human resources. Stress management includes reorganization of perception, resolving conflicts, division of role, preparing communication strategies, time management, creating familiarity, supporting spirituality, and developing sense of humor. Conclusion: This study provides useful resources to promote nursing activities by identifying possible family nursing interventions.
Background: This study aimed to examine the relationship between home-visit nursing services and health care utilization under the public long-term care insurance program in Korea. Methods: We analyzed the long-term care need assessment database and the long-term care and the health insurance claim databases of National Health Insurance Service between July 2011 and June 2012. The sample includes a total of 20,065 home-visit nursing recommended-older beneficiaries who use home-visit nursing and/or home-visit care, based on a standard benefit model developed by the Health Insurance Policy Institute of National Health Insurance Service. The beneficiaries were categorized into home-visit nursing use and non-use groups, and the home-visit nursing use group was again divided into high-use and low-use groups home-visit nursing, based on their total annual home-visit nursing expenditure. Two-part models and negative-binomial regression models were used for the statistical analysis. Results: The home-visit nursing use was negatively associated with the number of outpatient visit and cost, while adjusting for all covariates. The home-visit nursing use was also negatively associated with the inpatient cost among the high home-visit nursing use group. Conclusion: The findings implies home-visit nursing use prevents health care utilization. Further studies and policy strategies that can promote and strengthen home-visit nursing services under the public long-term care insurance are necessary in Korea.
Purpose: In this study analysis was done of utilization of rooming-in care in South Korean hospitals in order to examine the factors related to mothers and hospitals that affect rooming-in care. Methods: With the involvement of 254,414 mothers who gave birth across 953 hospitals, the analysis used the health insurance qualification data of the National Health Insurance Corporations and Health Insurance Review and Assessment Service (2006). Factors associated with rooming-in care were analyzed using a GEE logistic regression analysis to consider factors related to both mothers and hospitals. Results: Only 45.1% of the mothers used rooming-in care. The results of the regression analysis revealed that individual factors of the mothers were not associated with rooming-in care, whereas group factors of the hospitals were. Rooming-in care use was primarily related to small hospital, location of hospital, and higher nurse staffing level. Conclusion: The findings of this study indicate that the utilization of rooming-in care is not associated with factors an individual mother, but rather with the group factors of the hospitals. Thus, a policy-based approach considering both of these types of factors is required to enhance the utilization of rooming-in care.
Few studies have been conducted on the detailed routes of medical care utilization under the National Health Insurance. This study was undertaken to identify the utilization patte군 of health care facilities among industrial workers and their dependents. One of the largest health insurance association was purposively chosen for this objective. The association had 345, 757 members as of 31 December, 1990. The study sample of 297, 948 subjects have been drawn from the membership pool on the basis of their continuous membership status during 1 January through 31 December 1990. This study has tried to identify differential utilization patterns between acute and chronic conditions, and among standard income classes. All the diagnoses were recoded in a manner to achieve the objective of this study. As for acute diseases, most age group had used one medical facility as much as by 60% except the age group of 1-4, This young age group had used over three different health facilities as much as by 10.9-15.8%. The finding suggests that some policy measures by sought for remedying the excessive/inappropriate use of services. In addition, mid-income classes(between 17 and 48) were more likely to use multiple sources of care than lower income classes(between 1 and 16) and upper income classes(above 49). This study has revealed that chronic cases are more likely to pursue multiple sources of care, however those with chronic conditions tend to use single health facility more than those with acute conditions(67.9% versus 52.4%). As many as 12.2% have visited more than three health facilities in chronic conditions, but 5.9% for acute conditions. The most likely source of care was primary clinics for both acute and chronic conditions. Compared with the role of general hospital, small-size hospitals found to play a minimal role in the care and referral of patients. This indicates the need of strengthening the function of small-size hospitals. While a minor cross utilization of western medicine and pharmacy was noted, no significant boundary crossing was identified between western medicine and oriental medicine, or between pharmacy and oriental medicine. It is too early to confirm that whether there is substitutability or cross utilization among these alternative sources of care. A further study is needed to identify these relationship.
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