Purpose: This study examined the effects of case management (CM) for Medicaid on healthcare utilization considering the Medicaid system. Methods: Data were extracted from survey data on "Healthcare utilization and health status of Medicaid beneficiaries" conducted in 2007 and 2008 by the Ministry for Health, Welfare and Family Affairs. This study was designed to compare the effects on healthcare utilization between the CM group and the non-CM group. The subjects were 535 Type I Medicaid beneficiaries who utilized healthcare more than 365 days during 2006. Results: The outpatient days and medication days of the CM group decreased significantly more than those of the non-CM group with the copayment system. There were no significant differences of healthcare utilization between the CM group and the non-CM group with the designated doctor system. Conclusion: CM worked effectively on Medicaid beneficiaries' outpatient healthcare utilization with the copayment system. However, its effects on hospitalization, which is a major cause increasing the total expense, were not observed. Therefore, future studies are needed to develop strategies to reduce hospitalization and Medicaid beneficiaries outpatient healthcare utilization with the designated doctor system.
Background: Previous studies showed differences in healthcare utilization among insurance types. This study aimed to analyze the difference in healthcare utilization for percutaneous transluminal coronary angioplasty inpatients by insurance types after controlling factors affecting healthcare utilization using propensity score matching (PSM). Methods: The 2011 national inpatient sample based on health insurance claims data was used for analysis. PSM was used to control factors influencing healthcare utilization except insurance types. Length of stay and total charges were used as healthcare utilization variables. Patients were divided into National Health Insurance (NHI) and Medical Aid (MA) patients. Factors representing inpatients (gender, age, admission sources, and Elixhauser comorbidity index) and hospitals (number of doctors, number of beds, and location of hospitals) were used as covariates in PSM. Results: Tertiary hospitals didn't show significant difference in length of stay and total charges after PSM between two insurance types. However, MA patients showed significantly longer length of stay than that of NHI patients after PSM in general hospitals. Multivariate regression analysis provided that admission sources, Elixhauser comorbidity index, insurance types, number of doctors, and location of hospitals (province) had significant influences on the length of stay in general hospitals. Conclusion: Study results provided evidences that healthcare utilization was differed by insurance types in general hospitals. Health policy makers will need to prepare interventions to influence the healthcare utilization differences between insurance types.
Purpose: This study examined change in healthcare utilization by disease severity after case management (CM) for Medicaid. Methods: Data were extracted from survey data on "Healthcare utilization and health status of Medicaid beneficiaries" conducted in 2007 and 2008 by the Ministry for Health, Welfare and Family Affairs. This study was designed to compare change in healthcare utilization between the CM group and the non-CM group. The subjects were 528 Type I Medicaid beneficiaries who utilized healthcare more than 365 days during 2006. Results: In beneficiaries having fewer than 3 among the 11 notified diseases, the CM group showed a significantly larger decrease in outpatient day, outpatient expense, medication day, and medication expense than the non-CM group. In beneficiaries having 3 or more among the 11 notified diseases, however, there was no significant difference in healthcare utilization between the CM group and the non-CM group. Conclusion: CM worked effectively on Medicaid beneficiaries outpatient healthcare utilization for mild diseases. However, its effects on hospitalization, which is a major cause increasing the total expense, were not observed. Therefore, a future study is needed to develope strategies to reduce hospitalization and care for Medicaid beneficiaries with severe diseases.
Purpose: This study was done to identify the impact of physical activity on healthcare utilization among Korean adults. Methods: Drawing from the 2008 Korean National Health and Nutrition Examination Survey (NHANES IV-2), data from 6,521 adults who completed the Health Interview and Health Behavior Surveys were analyzed. Association between physical activity and healthcare utilization was tested using the $X^2$-test. Multiple logistic regression analysis was used to calculate the odds ratios of using outpatient and inpatient healthcare for different levels of physical activity after adjusting for predisposing, enabling, and need factors. A generalized linear model applying a negative binomial distribution was used to determine how the level of physical activity was related to use of outpatient and inpatient healthcare. Results: Physically active participants were 16% less likely to use outpatient healthcare (OR, 0.84; 95% CI, 0.74-0.97) and 23% less likely to use inpatient healthcare (OR, 0.77; 95% CI, 0.63-0.93) than physically inactive participants. Levels of outpatient and inpatient healthcare use decreased as levels of physical activity increased, after adjusting for relevant factors. Conclusion: An independent association between being physically active and lower healthcare utilization was ascertained among Korean adults indicating a need to develop nursing intervention programs that encourage regular physical activity.
Purpose: Importance of patient satisfaction related to patient-centeredness has been emphasized, and it is known to have effect on various health outcomes including health resource utilization. However, the effect of patient satisfaction has been discussed mostly in terms of hospital marketing in Korea. This study aims to examine the effect of patient satisfaction in patient-physician communication on healthcare utilization in a nationally representative adult population of South Korea. Method: Patient satisfaction with physician communication is assessed using 4 items in the 2011 Korea Health Panel Survey. Generalized linear regression analysis is conducted using 9,325 adults' healthcare utilization in 2012. Findings: Adjusting for the socio-demographic, economic factors, individual health status, health behaviors and healthcare utilization in 2011, more satisfied individuals, more likely to utilize the outpatient service, especially in clinical setting. Practical Implications: The study findings suggests that in context of South Korea healthcare system such as insufficient medical consultation time and the absence of health delivery system, patient satisfaction as a subjective healthcare quality indicator would have effect on the individual's outpatient visit. This study contributes to stimulate patient satisfaction research and discussion in South Korea to further explore its relationship with potential and various health related outcomes. Further implications of the study are discussed.
Objectives : This study aimed to analyze the factors influencing Korean medical utilization among persons with unmet healthcare needs. Methods : This study utilized Korea Health Panel data in 2019, with 10,771. We performed a t-test and ANOVA on the difference in general characteristics between Korean medical utilization and unmet healthcare needs. Logistic regression analysis and generalized linear model analysis were conducted to analyze on factors affecting the Korean medical utilization by people with unmet healthcare needs. Results : Among people with unmet healthcare needs, the variables influencing Korean medical utilization were western medical utilization, gender, education level, musculoskeletal disease, and other chronic diseases. The more people with unmet healthcare needs, the more likely they were to use Korean medicine. As a result of logistic regression analysis, the influencing factors on Korean medical utilization were analyzed for people with unmet healthcare needs, and the higher the household income, the more musculoskeletal diseases, and the higher the probability of using Korean medicine. Conclusions : Korean medicine has a large proportion of musculoskeletal disease, so it was found that musculoskeletal diseases have an impact. In addition, considering that household income is an important factor in the influencing factor of unmet healthcare needs, it is necessary to increase the use of Korean medicine by those with low household incomes.
Park, Yukyung;Kim, Jin-Hwan;Kim, Sun;Kim, Chang-yup;Han, Joo-sung;Kim, Saerom
Health Policy and Management
/
v.30
no.1
/
pp.37-49
/
2020
Background: Unmet healthcare needs have many advantages for measuring inequalities in healthcare use. However, the existing indicator is difficult to capture the reality of unmet healthcare needs sufficiently and is not quite appropriate in comparing regional inequality. The purpose of this study is to critically analyze the utilization of the unmet healthcare need indicator for regional healthcare inequalities research. Methods: We used the level of healthcare accessibility and healthcare need to categorize the regions that are known to cause differences in healthcare utilization between regions and verified how existing unmet healthcare need indicator is distributed at the regional level. Results: Four types of regions were classified according to the high and low levels of healthcare needs and accessibility. The hypothesis about the regional type expected to have the highest unmet healthcare need was not proved. The hypothesis about the lowest expected regional type was proved, but the difference in the average rate of unmet healthcare needs among regional types was not significant. The standard deviation of the rate of unmet healthcare needs among regions within the same type was also higher than the overall regional variation, which also disproved the whole frame of hypothesis. Conclusion: Failure to prove the hypothesis means the gap between the supposed meaning of the indicator and the reality. In order to understand the current state of healthcare utilization of people in various regions of Korea and to resolve inequality, fundamental research on the in-depth structure and mechanisms of healthcare utilization is needed.
Kim, Sun Jung;Han, Kyu-Tae;Park, Eun-Cheol;Park, Sohee;Kim, Tae Hyun
Asian Pacific Journal of Cancer Prevention
/
v.15
no.13
/
pp.5265-5270
/
2014
Background: In Korea, the National Health Insurance program has initiated various copayment policies over a decade in order to alleviate patient financial burden. This study investigated healthcare spending and utilization in the last 12 months of life among patients who died with lung cancer by various copayment policy windows. Materials and Methods: We performed a retrospective cohort study using nationwide lung cancer health insurance claims data from 2002 to 2012. We used descriptive and multivariate methods to compare spending measured by total costs, payer costs, copayments, and utilization (measured by length of stay or outpatient days). Using 1,4417,380 individual health insurance claims (inpatients: 673,122, outpatients: 744,258), we obtained aggregated healthcare spending and utilization of 155,273 individual patient (131,494 inpatient and 103,855 outpatient) records. Results: National spending and utilization is growing, with a significant portion of inpatient healthcare spending and utilization occurring during the end-of-life period. Specifically, inpatients were more likely to have more spending and utilization as they got close to death. As coverage expanded, copayments decreased, but overall costs increased due to increased utilization. The trends were the same in both inpatient and outpatient services. Multivariate analysis confirmed the associations. Conclusions: We found evidence of the higher end of life healthcare spending and utilizations in lung cancer patients occurring as coverage expanded. The practice pattern within a hospital might be influenced by coverage policies. Health policy makers should consider initiating various health policies since these influence the long-term outcomes of service performance and overall healthcare spending and utilization.
Objective of the study represents experiences of medical utilization of Psychiatric Outpatients. This research draws on information obtained from the 2008 National-wide sampling study of the Korean Healthcare Panel(KHP) conducted. The results of our study suggest the significance of variables such as the gender(p<.001) in the social demographical characteristics, the medical security type(p<.016), medical institution utilization(p<.012) treatment type(p<.004) in the utilization factors. In the case of medical utilization cost, the financial support factor(p<.018) showed a significant relationship. Depending on the particularities of gender, medical security type, financial support, medical institution utilization, treatment type were determined through a multiple logistics regression analysis. Gender showed that, among Psychiatric outpatient age of 30-59 level was 5.358 times and 60 years and older, their the second medical examination level was 4.490 times higher than Psychiatric outpatients under the age of 29. Health insurance type showed for the others medical allowance was 6.712 times higher than job health insurance and the other treatment was 0.395 times lower than drug treatment. Psychiatric outpatients utilization are rooted in the thoughts and factor levels of the Psychiatric patients and must be understood from the Psychiatric outpatients's perspective. The point is not only to gauge the patients research during Psychiatric medical utilization. The important of social community mental healthcare services levels goes beyond the goal of enhancing healthcare.
This study aims to examine the effect of socioeconomic status (hereafter, SES) on healthcare utilization of the patients with rare and incurable diseases. Information of 2,973 patients who were self-employed insured and utilized healthcare service in 2007 was drawn from the National Health Insurance (hereafter, NHI) claim data. SES was set as four groups based on the monthly contribution. Outcome variable was the expense for outpatient and in-hospital services, which was log-transformed and square-rooted in oder to obtain normal distribution. Covariates included age, gender, residence and diagnosis. To examine the effects after controlling for covariates, we employed generalized estimating equation model, since patients with the same diagnosis are likely to have similar characteristics of demographics and healthcare utilization. Univariate statistics showed that lower SES was associated with less utilization of healthcare services. After controlling for covariates, a significantly smaller amount of money was expended for the lowest SES group compared to the highest one. Rural residence was associated with less utilization, except that residents in Seoul significantly more utilized outpatient services in tertiary hospitals. Considering that there is a subsidy program for the low income patients, such differences in healthcare utilization according to SES seems to result from the burden of out-of-pocket payments for uncovered services of the NHI.
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