• Health Policy and Management
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• v.25 no.3
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• pp.185-196
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• 2015

Background: Issues concerning with the classification accuracy of Korean Outpatient Groups (KOPGs) have been raised by providers and researchers. The KOPG is an outpatient classification system used to measure casemix of outpatient visits and to adjust provider risk in charges by the Health Insurance Review & Assessment Service in managing insurance payments. The objective of this study were to refine KOPGs to improve the classification accuracy and to evaluate the refinement. Methods: We refined the rules used to classify visits with multiple procedures, newly defined chemotherapy drug groups, and modified the medical visit indicators through reviews of other classification systems, data analyses, and consultations with experts. We assessed the improvement by measuring % of variation in case charges reduced by KOPGs and the refined system, Enhanced KOPGs (EKOPGs). We used claims data submitted by providers to the HIRA during the year 2012 in both refinement and evaluation. Results: EKOPGs explicitly allowed additional payments for multiple procedures with exceptions of packaging of routine ancillary services and consolidation of related significant procedures, and discounts ranging from 30% to 70% were defined in additional payments. Thirteen chemotherapy drug KOPGs were added and medical visit indicators were streamlined to include codes for consultation fees for outpatient visits. The % of variance reduction achieved by EKOPGs was 48% for all patients whereas the figure was 40% for KOPGs, and the improvement was larger in data from tertiary and general hospitals than in data from clinics. Conclusion: A significant improvement in the performance of the KOPG was achieved by refining payments for visits with multiple procedures, defining groups for visits with chemotherapy, and revising medical visit indicators.

• Health Policy and Management
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• v.23 no.1
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• pp.19-34
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• 2013

Background: The study describes the changes resulted from imposition on tertiary hospital outpatient coinsurance rate rise policy and in tertiary or general hospital drug coverage rise policy on healthcare service utilization. Methods: Accordingly, the hypothesis about outpatient healthcare utilization after rise policy in outpatient coinsurance rate and drug coverage was established, using interrupted time-series analysis and segmented regression analysis to test the hypothesis. 5-year analysis period (2007. 3-2012. 3) from the outset year was designated, the data about most common 10 high-ranking of the main diseases targeting visiting patient from age of 6 to 64 were collected. Results: The summary on the major research is followed. First, the medical expense and duration of treatment tends to be increased in case of imposition about rise policy in outpatient coinsurance rate in the tertiary hospital under the interrupted time-series analysis. It showed temporary increase and slow down on account of influenza A even after the policy enforcement. In segmented regression analysis, duration of visit and medical expense in the tertiary hospital increased temporally right after the policy implementation and the decreased rapidly depends on period. Both rise and fall is statistically significant. The second, In case of tertiary or general hospital outpatient drug coverage rise policy, all of the tertiary hospital healthcare service utilization variables by the interrupted time-series analysis, drug coverage policy in the general hospital deeply declined according to decreasing trend before policy implementation. The third, in case of segmented regression analysis, the visit duration and medical expense statistically declined right after the policy implementation in both the tertiary and general hospital. Meanwhile, administration day was statistically meaningful only for the decrease right after the policy implementation. Otherwise, general hospital changes are not statistically meaningful. And the medicine cost was statistically, meaningfully decreased after the increase in drug coverage. Conclusion: Finally, the result demonstrated according to the analysis is only 1 hypothesis is denied, the other 2 are partially supported. Then, tertiary hospital outpatient coinsurance rate increase policy comparatively makes decrease effect on long-term healthcare utilization, and tertiary or general hospital outpatient drug coverage policy showed partially short-term effect is assured.

• Korea Journal of Hospital Management
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• v.24 no.4
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• pp.43-56
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• 2019

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.

• Health Policy and Management
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• v.3 no.2
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• pp.159-176
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• 1993

The utilization of outpatient care services involves two steps of sequential decisions. The first step decision is about whether to initiate the utilization and the second one is about how many more visits to make after the initiation. Presumably, the initiation decision is largely made by the patient and his or her family, while the number of additional visits is decided under a strong influence of the physician. Implication is that the analysis of the outpatient care utilization requires to specify each of the two decisions underlying the utilization as a distinct stochastic process. This paper is concerned with the number of physician visits, which is, by definition, a discrete variable that can take only non-negative integer values. Since the initial visit is considered in the analysis of whether or not having made any physician visit, the focus on the number of visits made in addition to the initial one must be enough. The number of additional visits, being a kind of count data, could be assumed to exhibit a Poisson distribution. However, it is likely that the distribution is over dispersed since the number of physician visits tends to cluster around a few values but still vary widely. A recently reported study of outpatient care utilization employed an analysis based upon the assumption of a negative binomial distribution which is a type of overdispersed Poisson distribution. But there is an indication that the use of Poisson distribution making adjustments for over-dispersion results in less loss of efficiency in parameter estimation compared to the use of a certain type of distribution like a negative binomial distribution. An analysis of the data for outpatient care utilization was performed focusing on an assessment of appropriateness of available techniques. The data used in the analysis were collected by a community survey in Hwachon Gun, Kangwon Do in 1990. It was observed that a Poisson regression with adjustments for over-dispersion is superior to either an ordinary regression or a Poisson regression without adjustments oor over-dispersion. In conclusion, it seems the most approprite to assume that the number of physician visits made in addition to the initial visist exhibits an overdispersed Poisson distribution when outpatient care utilization is studied based upon a model which embodies the two-part character of the decision process uderlying the utilization.

• Journal of Preventive Medicine and Public Health
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• v.34 no.1
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• pp.28-34
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• 2001

Objectives : To investigate the changing pattern of medical utilization claims following the economic crisis in Korea. Methods : The original data consisted of the claims of the 'Medical insurance program of self-employees' between 1997 and 1998. The data was selected by medical treatment day ranging between 8 January and 30 June. Medical utilizations were calculated each year by the frequency of claims, visit days for outpatients, length of stay for inpatients, total days of medication, and the sum of expenses. Results : The length of stay as an inpatient in 1998 was decreased 4.7 percent in comparison to 1997. However, inpatient expenses in 1998 increased 10.8 percent as compared to 1997. Inpatient hospital claims in 1998 increased 6.2 percent over 1997, although general hospital inpatient claims in 1998 decreased 3.3 percent in comparison to 1997. The outpatient claim frequency decreased 7.3 in 1998 percent as compared to 1997 Outpatient visit days of in 1998 were decreased 8.5 percent in comparison to that recorded in 1997. Outpatient claim frequencies of 'gu region' in 1998 decreased 10.5 percent comparison to that in 1997, but 'city and gun region' decreased less than 'gu region'. Conclusions : Medical utilization in 1998 deceased in relation to 1997 Medical utilization by outpatients decreased more than that of inpatients. Medical utilization by 'gu region' decreased mere than the other regions.

• Health Policy and Management
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• v.21 no.1
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• pp.23-43
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• 2011

Access to health care is complicated to define. It is a multidimensional process. In addition to the matters of quality of care, geographical accessibility and availability of the right type of care, finance, and acceptability are all involved. The purposes of this paper are to measure the geographic distances between patient residency locations and health service organizations in which the patients hadvisited, and to investigate the association between geographical distance measures and variables involved in health service utilization. The study used the first and the second wave of the 2008 Korea Health Panel Survey. The samples of analyses were patients who had visited outpatient or used ambulatory health services, and the total observations (visit numbers) analyzed were 229,128. We divided the samples into a frequent-visit illness group (Group 1) and a non-frequent visit illness group (Group 2) based on over 5,000 total visit numbers. We exploited three level analyses using xtmixed of STATA${\Box}$ 11.1 command with/without interaction terms among age, sex, and occupation. Geographical distances were measured using the Haversine method. Group 1 was tended to older and lower equivalent income than those of Group 2, but the geographic difference were not observed in terms of area deprivation index and standard mortality ratios. Amongst group 1, diabetes mellitus patients travelled far to visit health care organizations, and arthritis patients were more deprived in terms of the personal and areal characteristics. The study revealed that residents in rural areas traveled about 10 times more long distances than those whom lived in larger cities after adjusting for various variables, which we used for analyses. This study contributed to the practical understanding of health service utilizations using empirical analyses, and found that the types of diseases and socioeconomic characteristics of patients tended to define the amount of travel distance to healthcare organizations.

• Health Policy and Management
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• v.31 no.2
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• pp.207-216
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• 2021

Background: Good patient experience is positively associated with adherence to treatment recommendations, better clinical effectiveness, and health outcomes. This study aims to find out the key factors affecting positive patient experience to improve the quality of care using nationally representative survey data. Methods: The data was collected from the 6th National Health Nutrition Survey in 2015. Four patient experience items were investigated for patients with visiting outpatient care over the past year. Positive patient experience was defined as a case of responding always or usually yes. The t-test, chi-square test, and multiple logistic regression were performed to determine the key factors affecting the outpatient experience. Results: More than 80% of the respondents reported their care experience as positive excluding doctor spending enough time during the consultation. Male, poor health status, and single/divorced, and the longer time interval between outpatient care visit and survey were found to be significantly correlated with negative care experiences in the multiple logistic regression. Patients who received outpatient care at the oriental medicine clinic had a positive experience compared to those received outpatient care at the general hospital. However, patient factors including age, income, job, and insurance type had no significant association with patient experience. Conclusion: Health care providers should prioritize patients who report negative patient experiences and implement management decisions to improve the patient experience.

• Korea Journal of Hospital Management
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• v.22 no.2
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• pp.58-69
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• 2017

Recently, with the increase in the number of private health insurance subscribers, interest in overuse of the medical service is increasing. This study analyzed the impacts of private health insurance (PHI) on medical institution selection in outpatient service utilization among persons with arthritis. In order to control patients' health status, we extracted outpatient episodes with the same disease (KCD6, M13) from Korea Health Panel. The unit of analysis was an outpatient visit with arthritis in 2014 (n=23,363). In the light of insurance coverage, we redefined three type of private health insurance (ex, indemnity, fixed benefit, and non-insured) as a test variable and two type of medical institution (ex, hospital and physician visit) as a dependent variable. We conducted a probit regression analysis to identify the impacts of PHI on medical institution selection controlling for heteroscedasticity. The results of this study showed that the insured with indemnity were more likely to choose hospital departments than clinics (marginal effect=0.0475, p=0.000). The impact of participation of fixed benefit PHI was not as clear as that of indemnity type (marginal effect=0.0162, p=0.047). In conclusion, this study confirmed that PHI, particularly indemnity type has a significant impact on the selection of medical institutions. Healthcare policy makers should consider that PHI not only affects the overall quantitative increase in healthcare utilization, but also influences the selection of medical institutions.

• Health Policy and Management
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• v.24 no.3
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• pp.283-290
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• 2014

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.

• Journal of Acupuncture Research
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• v.41 no.1
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• pp.17-28
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• 2024

This study aimed to analyze whether the coronavirus disease 2019 (COVID-19) pandemic affected the characteristics of first-visit patients with peripheral facial palsy (PFP) and observe changes in their characteristics. This study analyzed the electronic medical records of 2,310 first-visit patients with PFP who visited the Facial Palsy Center, Kyung Hee University Korean Medicine Hospital from January 1, 2019, to December 31, 2021, in terms of demographic characteristics, disease phase, residence locations, hospital visit route, and patient care. During COVID-19, the proportion of acute patients increased by 5.3%, the proportion of visits by residents in Seoul increased by 3.8%, and the proportion of patients receiving only outpatient treatments increased by 12.8%. Significant relationships were present between the presence of the COVID-19 pandemic and the number of patients by disease phase (p = 0.043), residence locations (p = 0.003), and patient care (p = 0.003). Thus, several differences in the characteristics of first-visit patients with PFP visiting a Korean medicine hospital during the COVID-19 pandemic in terms of demographic characteristics, disease phase, residence locations, and patient care.