Cancer care patterns in South Korea: Types of hospital where patients receive care and outcomes using national health insurance claims data.

BACKGROUND: Although strengthening coverage has improved cancer care, there are concerns related to medical distortion. Previous studies have only examined whether patients visit a specific hospital, and not the continuum of patients with cancer, resulting in a lack of evidence in South Korea. This study aimed to investigate the patterns in hospital type for cancer care and analyze their association with outcomes. METHODS: The data for this study were obtained from the National Health Insurance Services Sampled Cohort database. This study included patients with four types of cancer (top four cancer incidence in 2020): gastric (3353), colorectal (2915), lung (1351), and thyroid (5158) cancer. The latent class mixed model was used to investigate cancer care patterns, and multiple regression or survival analysis was performed to examine medical cost, length of stay (LOS), and mortality. RESULTS: The patterns in each cancer type were classified into two to four classes, namely, mainly visited clinics or hospitals, mainly visited general hospitals, mainly visited tertiary hospitals (MT), and tertiary to general hospitals through trajectory modeling based on the utilization of cancer care. Compared to the MT pattern, other patterns were generally associated with higher cost, LOS, and mortality. CONCLUSION: The patterns found in this study may be a more realistic way of defining patients with cancer in South Korea compared to previous studies, and its association-related outcomes may be used as a basis to address problems in the healthcare system and prepare alternatives for patients with cancer. Future studies should review cancer care patterns related to other factors such as regional distribution.

Do Patients Residing in Provincial Areas Transport and Spend More on Cancer Treatment in Korea?

BACKGROUND: With the increasing burden of cancer worldwide, a need exists to investigate patterns of healthcare utilization and costs. This study aimed to investigate whether the area of residence is associated with the likelihood of a patient receiving treatment at an institution located outside their residing region. This study also analyzed whether medical travel was related to levels of healthcare utilization and costs. METHODS: This study used the 2007 to 2015 National Health Insurance (NHI) claims data. The residing area was categorized into capital area, metropolitan cities, and provincial area. Healthcare utilization was measured based on days of care and costs based on direct, covered medical costs. Chi-square test and analysis of variance (ANOVA) was conducted to investigate the general characteristics of the study population. The relationship between the dependent and independent variables were analyzed using the generalized estimating equation (GEE) model. RESULTS: Of the 64,505 participants included in this study, 19,975 (31.0%) visited medical institutions located outside their residing area. Compared to individuals residing in the capital area, those living in provincial regions (OR 2.202, 95% CI 2.068-2.344) were more likely to visit medical institutions outside their residing area. Healthcare costs were higher in individuals receiving treatment at hospitals located elsewhere (RR 1.054, 95% CI 1.017-1.093). CONCLUSION: Cancer patients residing in provincial areas were likely to visit institutions located outside their residing area for treatment. Medical travel was associated with higher levels of spent healthcare costs. Policies should focus on preventing possible related regional cancer disparity and promoting optimal configuration of cancer services.

Is Korean society prepared for the financial burden of novel anticancer drugs? A survey of willingness to pay among National Health Insurance beneficiaries.

PURPOSE: Since South Korea's 5-year policy of increasing National Health Insurance (NHI) coverage began in 2017, related pharmaceutical expenditures have increased by 41%. Thus, there is a critical need to examine society's willingness to pay (WTP) for increased premiums to include new anticancer drugs in NHI coverage. METHODS: Participants aged 20-65 were invited to a web-based online survey. The acceptable effectiveness threshold for a new anticancer drug to be included in NHI coverage and the WTP for an anticancer drug with modest effectiveness were determined by open-ended questions. RESULTS: A total of 1817 respondents completed the survey. Participants with a family history of cancer or a higher perceived risk of getting cancer had significantly higher WTPs (RR [relative risk] = 1.17 and 1.21, both P = 0.012). Participants who agreed on adding coverage for new anticancer drugs with a life gain of 3 months had a higher WTP (RR = 1.70, P < 0.0001). These associations were greater among the employed and low-income groups. The adjusted mean of acceptable effectiveness for a new anticancer drug was 21.5 months (interquartile range [IQR] = 19.3 to 24.0, median = 21.9). The WTP for a new anticancer drug with a life gain of 3 months was $5.2 (IQR = 4.0 to 6.0, median = 4.6). CONCLUSION: The unrealistic expectations in Korean society for new anticancer agents may provoke challenging issues of fairness and equity. Although Korean society is willing to accept premium increases, our data suggest that such increases would benefit only a small proportion of advanced cancer patients.

Do Reduced Copayments Affect Mortality after Surgery due to Stroke? An Interrupted Time Series Analysis of a National Cohort Sampled in 2003-2012.

BACKGROUND: The South Korean government introduced a policy in 2 phases, in September 2005 and in January 2010, for reducing copayments for patients with critical diseases, including stroke, to prevent excessive medical expenditures and to ease economic barriers. Previous studies of the effect of this policy were focused primarily on cancer. Therefore, we investigated the relationship between this policy and 1-year mortality after surgery among patients with stroke. METHODS: We used data from the Korean National Health Insurance sampling cohort (n = 2173 in 2003-2012) and performed an interrupted time series analysis. RESULTS: Approximately 26% of the patients died within 1 year after surgery. The time trends after reducing copayments from 10% to 5% (phase 2) were inversely associated with risk of 1-year mortality (relative risk = .855, 95% confidence interval: .749-.975; P = .0196). In addition, this inverse association was greater in patients with low incomes, of older ages, and with higher Charlson comorbidity indices. CONCLUSIONS: The introduction of a policy for reducing copayments to ease excessive cost burdens for patients with stroke was positively associated with a reduced risk of 1-year mortality after surgical treatment due to stroke. On the basis of our results, health policy makers should make an effort to identify vulnerable populations and to overcome economic barriers for providing effective alternatives to ensure patients receive optimal health care.

Deregulation of sale of over-the-counter drugs outside of pharmacies in the Republic of Korea: interrupted-time-series analysis of outpatient visits before and after the policy.

BACKGROUND: We evaluated the effectiveness of a policy allowing for the sale of over-the-counter drugs outside of pharmacies by examining its effect on number of monthly outpatient visits for acute upper respiratory infections, dyspepsia, and migraine. METHOD: We used medical claims data extracted from the Korean National Health Insurance Cohort Database from 2009 to 2013. The Korean National Health Insurance Cohort Database comprises a nationally representative sample of claims - about 2% of the entire population - obtained from the medical record data held by the Korean National Health Insurance Corporation (which has data on the entire nation). The analysis included26,284,706 person-months of 1,042,728 individuals. An interrupted-time series analysis was performed. Outcome measures were monthly outpatient visits for acute upper respiratory infections, dyspepsia, and migraine. To investigate the effect of the policy, we compared the number of monthly visits before and after the policy's implementation in 2012. RESULT: For acute upper respiratory infections, monthly outpatient visits showed a decreasing trend before the policy (ß = -0.0003);after it, a prompt change and increasing trend in monthly outpatient visits were observed, but these were non-significant. For dyspepsia, the trend was increasing before implementation (ß = -0.0101), but this reversed after implementation(ß = -0.007). For migraine, an increasing trend was observed before the policy (ß = 0.0057). After it, we observed a significant prompt change (ß = -0.0314) but no significant trend. CONCLUSION: Deregulation of selling over-the-counter medication outside of pharmacies reduced monthly outpatient visits for dyspepsia and migraine symptoms, but not acute upper respiratory infections.

Effects of the 2009 Medical Cannabinoid Legalization Policy on Hospital Use for Cannabinoid Dependency and Persistent Vomiting.

BACKGROUND & AIMS: In 2009, the U.S. Department of Justice issued a memo stating that it would not prosecute users and sellers who complied with the state laws allowing for medical use of marijuana. There are growing concerns about legalization of marijuana use and its related public health effects. We performed an interrupted time series analysis to evaluate these effects. METHODS: We collected a representative sample of hospital discharge data from the Healthcare Cost and Utilization Project, from January 1993 to December 2014. We divided the data in to 3 groups: the prelegalization period (1993-2008), the legalization period (2009), and the postlegalization period (2010-2014). The disease variables were International Classification of Disease-Ninth Revision-Clinical Modification 304.30 cannabinoid dependency unspecified (CDU), 536.2 persistent vomiting, and an aggregate of CDU and persistent vomiting. We performed interrupted time series and Poisson-Gamma regression analysis to calculate each year's incidence rate of unspecified and persistent vomiting and CDU per 100,000 hospital discharges. CDU, persistent vomiting, and aggregate of CDU and persistent vomiting were modeled separately to estimate average incidence rate ratio and 95% confidence interval for each study phase. RESULTS: We observed an increasing trend of CDU or an aggregate of CDU and persistent vomiting during the prelegalization period. The legalization of marijuana significantly increased the incidence rate during the legalization period (by 17.9%) and the yearly average increase in rate by 6% after policy implementation, compared to the prelegalization period. The increase in rate of persistent vomiting after policy implementation increased significantly (by about 8%), although there were no significant trends in increase prior to or during marijuana legalization in 2009. CONCLUSIONS: In an interrupted time series analysis of before, during, and after medical marijuana legalization, we estimated levels and rate changes in CDU and persistent vomiting. We found persistent increases in rates of CDU and persistent vomiting during and after legalization of marijuana.

The association between number of doctors per bed and readmission of elderly patients with pneumonia in South Korea.

BACKGROUND: There is an urgent need to reduce readmission of patients with pneumonia and improve quality of care. To assess the association between hospital resources and quality of care, we examined the effect of number of doctors per bed on 30-day readmission and investigated the combined effect of number of doctors per bed and number of beds. METHODS: We used nationwide cohort sample data of health insurance claims by the National Health Insurance Service (NHIS) from 2002 to 2013. Pneumonia admissions to acute care hospitals among 7446 inpatients older than 65 were examined. We conducted a multivariate Cox proportional hazard model to analyze the association between the number of doctors per bed and 30-day readmission, as well as that of pneumonia-specific 30-day readmission with the combined effects of number of doctors per bed and number of beds. RESULTS: Overall, 1421 (19.1%) patients were readmitted within 30 days and 756 (11.2%) patients were readmitted for pneumonia within 30 days. Patients with pneumonia treated by very low or low number of doctors per bed showed higher readmission (pneumonia-specific readmission: hazard ratio [HR] = 1. 406, 95% confidence interval [CI] = 1.072-1.843 for low number of doctors per bed; all-cause readmissions: HR = 1.276, 95% CI = 1.026-1.587 for very low number of doctors per bed, and HR = 1.280, 95% CI = 1.064-1.540 for low number of doctors per bed). CONCLUSIONS: This empirical study showed that patients with pneumonia cared for in hospitals with more doctors were less likely to be readmitted. Pneumonia-specific 30-day readmission was also significantly associated with the combined effect of the number of doctors and the number of hospital beds.

Do hospital characteristics influence Cesarean delivery? Analysis of National Health Insurance claim data.

Background: The rates of Cesarean delivery in South Korea are high among the Organization for Economic Cooperation and Development countries. We analyzed the relationship between hospital characteristics, in particular hospital volume and market competition and Cesarean delivery. Methods: We used data from National Health Insurance claims (n = 53 591) at 51 hospitals to analyze the relationship between hospital characteristics and Cesarean delivery between 2010 and 2013. We performed logistic regression analysis using generalized estimating equations models that included both inpatient and hospital variables to examine factors associated with Cesarean delivery. Results: Among 53 591 hospitalization cases, 14 425 (26.9%) patients underwent Cesarean delivery. Hospital volumes for deliveries were inversely associated with Cesarean delivery (per increases 100 deliveries = OR 0.896, 95% CI 0.887-0.905). Market competition had inverse relationship with Cesarean delivery (per increase in 10 Hirschmann-Herfindal index points; OR 0.982, 95% CI 0.979-0.985). Conclusions: Our findings suggest that hospital characteristics affect Cesarean delivery. These situations might be caused by maintaining profit with regard to survival or competition, and protecting themselves against unexpected delivery risks. Therefore, based on our findings, health policy makers must make an effort to implement effective strategies for the optimal management of excessive Cesarean rates in South Korea.

Mortality in Schizophrenia and Other Psychoses: Data from the South Korea National Health Insurance Cohort, 2002-2013.

Individuals with psychoses show excess mortality, which is a major public health concern. This study examined all-cause and suicide mortality rates in Korean patients diagnosed with schizophrenia, mood disorder, or mental and behavioral disorder due to psychoactive substance use and to compare this with that of the general population. Data were from the National Health Insurance cohort, 2002 to 2013. A total of 107,190 cases aged 15 years or over were included. Mortality rates per 100,000 person years (PY) were obtained. Poisson regression modelling was conducted to quantify the effect of baseline characteristics on all-cause and suicide mortality risks. Standardized mortality ratios (SMRs) were also calculated. All-cause mortality was the highest among mental and behavioral disorder patients (1,051.0 per 100,000 PY), followed by schizophrenia (949.1 per 100,000 PY) and mood disorder patients (559.5 per 100,000 PY). Highest suicide mortality was found in schizophrenia (177.2 per 100,000 PY), mental and behavioral disorder (143.7 per 100,000 PY), and mood disorder patients (59.7 per 100,000 PY). The rate ratios (RRs) for all-cause and suicide mortality were reduced for younger populations and women. Psychoses patients had higher all-cause (schizophrenia, SMR 2.4; 95% confidence interval [CI] 2.2-2.5; mood disorder, SMR 1.4; 95% CI 1.3-1.5; mental and behavioral disorder, SMR 2.6; 95% CI 2.5-2.8) and suicide (schizophrenia, SMR 8.4; 95% CI 7.2-9.6; mood disorder, SMR 2.8; 95% CI 2.1-3.5; mental and behavioral disorder, SMR 6.8; 95% CI 5.7-7.9) mortality rates than the general population. These findings infer that efforts should be made to reduce excess mortality in psychoses.

Are sleep disorders associated with increased mortality in asthma patients?

BACKGROUND: South Korea has experienced problems regarding poor management of symptoms of asthma patients and remarkable increases in sleep disorders. However, few studies have investigated these issues. We examined the relationship between sleep disorders and mortality in asthma patients to suggest effective alternatives from a novel perspective. METHODS: We used data from the National Health Insurance Service (NHIS) National Sample Cohort 2004-2013, which included medical claims filed for 186,491 patients who were newly diagnosed with asthma during the study period. We performed survival analyses using a Cox proportional hazards model with time-dependent covariates to examine the relationship between sleep disorders and mortality in asthma patients. RESULTS: There were 5179 (2.78%) patients who died during the study period. Sleep disorders in patients previously diagnosed with asthma were associated with a higher risk of mortality (hazard ratio [HR]: 1.451, 95% confidence interval [CI]: 1.253-1.681). In addition, significant interaction was found between sleep disorders and Charlson comorbidity index. CONCLUSIONS: Our findings suggest that an increased prevalence of sleep disorders in asthma patients increases the risk of mortality. Considering the worsening status of asthma management and the rapid growth of sleep disorders in South Korea, clinicians and health policymakers should work to develop interventions to address these issues.

Sleep disorders and risk of hospitalization in patients with mood disorders: Analysis of the National Sample Cohort over 10 years.

Medical utilization due to organic sleep disorders has increased remarkably in South Korea, which may contribute to the deterioration of mental health in the population. We analyzed the relationship between organic sleep disorders and risk of hospitalization due to mood disorder. We used data from the National Health Insurance Service (NHIS) National Sample Cohort 2002-2013, which included medical claims filed for the 15,537 patients who were newly diagnosed with a mood disorder in a metropolitan region, and employed Poisson regression analysis using generalized estimating equation (GEE) models. By the results, there was a 0.53% hospital admission rate among 244,257 patients with outpatient care visits. Patients previously diagnosed with an organic sleep disorder before specific outpatient care had a higher risk for hospitalization. Such associations were significant in females, patients with a longer duration of disease, or those who lived in the largest cities. In conclusion, considering that experiencing a sleep disorder by a patient with an existing mood disorder was associated with deterioration of their status, health policy makers need to consider insurance coverage for all types of sleep disorders in patients with psychological conditions.

Positive effects of medical staffing on readmission within 30 days after discharge: a retrospective analysis of obstetrics and gynecology data.

BACKGROUND: Improving quality of care is a major healthcare goal; however, the relationship between limited resources and appropriate healthcare distribution has always been problematic. Planning for resource shortages is important for improving healthcare quality. The aim of our study was to evaluate the effects of manpower planning on improvements in quality of care by estimating the effects of medical staffing on readmission within 30 days after discharge. METHODS: We conducted an observational study using 2011-14 National Health Claim data from 692 hospitals and 633 461 admissions. The database included information on uterine (including adnexa) procedures (195 270 cases) and cesarean deliveries (438 191 cases). The outcome variable was readmission within 30 days after discharge. A generalized estimating equation model was used to evaluate associations between readmission and medical staffing. RESULTS: The number of doctors and the proportion of registered nurses (RNs) were significantly associated with a lower risk of readmission within 30 days (proportion of RNs, Relative Risk (RR): 0.97, P values: 0.0025; number of doctors, RR: 0.96, P values: <0.0001). The number of nurses (RNs + licensed practical nurses) was not associated with readmission within 30 days (RR: 1.01, P values: <0.0001). CONCLUSION: Our results suggested that higher numbers of doctors and higher proportions of RNs were positively correlated with a lower risk of readmission within 30 days. Human resource planning to solve manpower shortages should carefully consider the qualitative aspects of clinical care and include long-term planning.

Association between reduction in copayment and gastric cancer patient concentration to the capital area in South Korea: NHI cohort 2003-2013.

Since 2004, the South Korean government has introduced a policy that decreases copayment for cancer patients by strengthening public coverage in the National Health Insurance (NHI) system (first phase=copayment for outpatient care from 30% to 20%; second phase=copayment for total medical expenditures from 20% to 10%; third phase=copayment for total medical expenditures from 10% to 5%). We aimed to investigate the relationship between the policy introduction and patient visits to hospitals in the capital area. We used data from the NHI Cohort 2003-2013, which included all medical claims (7193 cases) filed for 2124 patients who visited the hospital due to stomach cancer, and performed a segmented Poisson regression analysis. Of all hospital visits, 40.6% of patients were from the capital area. After the introduction of the second phase of the policy, there was an increase in patient concentration in the capital area, although there were no significant effects on patient concentration during the first and third phases of the policy. In conclusion, our findings suggest that the introduction of a policy that reduces copayment for cancer patients had a substantial impact on patient concentration in the capital area. Therefore, health policymakers should consider effective alternatives including efficient allocation of medical resources or support for the more vulnerable population as flexible benefit plans to aid healthcare utilization by cancer patients.

Impact of continuous Medical Aid utilisation on healthcare utilisation: unique insight using the 2008-2012 Korean Welfare Panel Study (KOWEPS).

OBJECTIVES: Although there has been considerable discussion about the social safety net, few studies related to effect of duration of continuous receipt of Medical Aid on healthcare utilisation have been conducted. Therefore, we investigate whether the duration of receiving Medical Aid affected medical care utilisation. SETTING: Data were collected from the Korean Welfare Panel Study conducted from 2008 to 2012. PARTICIPANTS: We included 11,783 samples. INTERVENTIONS: Estimating changes in their healthcare utilisation during specific time intervals (1, 2 and ≥3 years) after they switched from National Health Insurance to Medical Aid. PRIMARY AND SECONDARY OUTCOME MEASURES: Number of outpatient visits. RESULTS: The number of outpatient visits per year was 0.0.051-fold higher (p value: 0.434) among those who were Medical Aid beneficiaries for a continuous period of 1 year, 0.0.267-fold higher (p value: 0.000) among those who were beneficiaries for a continuous period of 2 years, and 0.0.562-fold higher (p value:<0.0001) among those who were beneficiaries for a continuous period of 3 years than it was among those who were beneficiaries of National Health Insurance. CONCLUSIONS: Our results reflect an association between the number of consecutive years of receiving Medical Aid and number of outpatient visits. Since duration of dependence is correlated with reduced exit rates, limits on length of benefits should be considered to strengthen the incentive to return to work.

Social Welfare Centers Protect Outpatients with Mood Disorders from Risk of Hospital Admission.

BACKGROUND: South Korea faces difficulties in the management of mental disorders, and those difficulties are expected to gradually worsen. Therefore, we analyzed the relationship between social welfare centers and hospital admission after outpatient treatment for mood disorders. METHODS: We used data from the National Health Insurance Service National Sample Cohort 2002-2013, which included all medical claims filed for the 50,160 patients who were newly diagnosed with a mood disorder among the 1,025,340 individuals in a nationally representative sample. We performed a logistic regression analysis using generalized estimating equation (GEE) models to examine the relationship between social welfare centers and hospital admission after outpatient treatment for mood disorders (ICD-10: F3). RESULTS: There was a 3.9% admission rate among a total of 99,533 person-years. Outpatients who lived in regions with more social welfare centers were less likely to be admitted to a hospital (per increase of five social welfare centers per 100,000 people; OR: 0.958; 95% CI: 0.919-0.999). Social welfare centers had an especially strong protective effect on patients with relatively mild mood disorders and those who were vulnerable to medical expenditures. CONCLUSIONS: Considering the protective role of social welfare centers in managing patients with mood disorders, health-policy makers need to consider strategies for activating mental healthcare.

The outcomes of psychiatric inpatients by proportion of experienced psychiatrists and nurse staffing in hospital: New findings on improving the quality of mental health care in South Korea.

Readmission rates for mental health care are higher in South Korea than other Organization for Economic Development (OECD) countries. Therefore, it is worthwhile to continue investigating how to reduce readmissions. Taking a novel approach, we determined the relationship between psychiatrist experience and mental health care readmission rates. We used National Health Insurance claim data (N=21,315) from 81 hospitals to analyze readmissions within 30 days of discharge for "mood disorders" or "schizophrenia, schizotypal and delusional disorders" during 2010-2013. In this study, multilevel models that included both patient and hospital-level variables were analyzed to examine associations with readmission. Readmissions within 30 days of discharge accounted for 1079 (5.1%) claims. Multilevel analysis demonstrated that the proportion of experienced psychiatrists at a hospital was inversely associated with risk of readmission (OR: 0.79, 95% CI: 0.74-0.84 per 10% increase in experienced psychiatrists). Readmission rates for psychiatric disorders within 30 days of discharge were lower in hospitals with a higher number of nurses (OR: 0.95, 95% CI: 0.94-0.96 per 10 nurses). In conclusion, health policymakers and hospital managers should make an effort to reduce readmissions for psychiatric disorders and other diseases by considering the role that physician experience plays and nurse staffing.