INTRODUCTION: Albeit comprising a small portion of the hospital population, persistent high utilisers (PHUs) contribute disproportionately to healthcare expenditures. Amid rising healthcare costs and an ageing population, this study examines factors associated with PHUs among residents in eastern Singapore. METHOD: This is a retrospective study of eligible patients at Changi General Hospital in Singapore between 1 January 2020 and 31 December 2022. The study included Singapore citizens who utilised any services offered by CGH. Patients were classified as PHUs if their annual healthcare expenditure exceeded SGD3700 for 3 consecutive years. Demographics, healthcare utilisation patterns and clinical profiles were compared, and multivariable analyses were conducted to identify factors associated with PHUs. RESULTS: There were 267,838 eligible patients identified, with 5316 (2%) classified as PHUs. PHUs accounted for 18.4% of the total healthcare expenditure, with the highest costs attributed to inpatient services, followed by outpatient services. PHUs were more likely to be older, male, non-Chinese and of lower socioeconomic status. Conditions with the strongest association with PHUs were mental health disorders, chronic obstructive pulmonary disease, osteoporosis, asthma and renal diseases. Inpatient discharges from renal medicine, psychological medicine and general/geriatric medicine wards had the strongest association with PHUs. Utilisation of allied health services had the highest odds of being a PHU in outpatient care. CONCLUSION This study identified key factors associated with PHUs, providing invaluable insights into the planning of population health services within the hospital's geographical region. Targeted service development and process improvements of medical care can help mitigate persistent high utilisation.
Humans ; Singapore/epidemiology* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Adult ; Health Expenditures/statistics & numerical data* ; Patient Acceptance of Health Care/statistics & numerical data* ; Population Health ; Aged, 80 and over ; Young Adult ; Adolescent

BACKGROUND: The use of potentially inappropriate medications (PIMs) is a major concern for medication safety as it may entail more harm than potential benefits for older adults. This study aimed to explore the prescribing rate, healthcare utilization, and expenditure of older adults using PIMs in China. METHODS: A cross-sectional analysis was conducted using a national representative database of all medical insurance beneficiaries across China, extracting ambulatory visit records of adults aged 65 years and above between 2015 and 2017. Descriptive analysis was conducted to measure the rate of patients exposed to PIM, prescribing rate of each PIM, average annual outpatient visits per patient, average total medication costs for each visit, average annual cost of PIMs for each patient, and average annual medication costs for each patient. Generalized linear model with logit link function and binomial distribution was used to examine the adjusted associations between PIMs and independent variables. RESULTS: In total, 845,278 (33.2%) participants were identified to be exposed to at least one PIM. Patients aged 75-84 years (38.1%, 969,809/2,545,430) and ≥85 years (37.9%, 964,718/2,545,430) were more likely to be prescribed with PIMs. Beneficiaries of the Urban Employee Basic Medical Insurance (UEBMI) and living in eastern and southern regions were more frequently prescribed with PIMs. Compared with patients without PIM exposure (7.5 visits, drug cost of RMB 1545.0 Yuan), patients with PIM exposure showed higher adjusted average annual number of outpatient visits (10.7 visits, β = 3.228, 95% confidence interval [CI] = 3.196-3.261) and higher annual drug costs (RMB 2461.8 Yuan, Coef. = 916.864, 95% CI = RMB 906.292-927.436 Yuan). CONCLUSIONS The results showed that the use of PIM among older adults was common in China. This study suggests that the use of PIM could be considered as a clear target, pending multidimensional efforts, to promote rational prescribing for older adults.
Humans ; Aged ; Cross-Sectional Studies ; Aged, 80 and over ; Male ; Female ; China ; Inappropriate Prescribing/economics* ; Patient Acceptance of Health Care/statistics & numerical data* ; Potentially Inappropriate Medication List/statistics & numerical data* ; Health Expenditures/statistics & numerical data*

BACKGROUND: Medical Aid (MA) beneficiaries, belonging to low-income and vulnerable groups, tend to utilize more healthcare services than patients covered by general health insurance. This study aimed to investigate shifts in medical expenses among South Korean MA beneficiaries from 2010 to 2020 in response to changes in health coverage. METHODS: This study was a retrospective cohort study that involved analyzing data from 354,289 MA beneficiaries aged 20 years and older as of 2010 whose healthcare utilization data could be tracked up to 2020. The impact of changes in health coverage of MA beneficiaries on the increase in medical expenses was analyzed with multiple logistic regression analysis. RESULTS: The findings revealed that the group maintaining their MA eligibility had a higher rate of increase in medical expenses compared to those transitioning from MA to National Health Insurance (NHI). Even after adjusting for covariates, the likelihood of an increase in total annual medical expenses was more than 1.4 times higher for the MA maintenance group. However, the group that maintained MA also had higher initial healthcare expenses, indicating poorer health status, compared to the group that transitioned to NHI. CONCLUSION In the public healthcare domain, such as MA, it is crucial to enhance access to necessary healthcare services while preventing unnecessary medical treatments. There is a need for systemic improvements to ensure that low-income, medically vulnerable groups can appropriately use the healthcare services they require to achieve high-value health outcomes.
Republic of Korea ; Humans ; Retrospective Studies ; Middle Aged ; Adult ; Female ; Poverty/statistics & numerical data* ; Male ; Vulnerable Populations/statistics & numerical data* ; Aged ; Health Expenditures/statistics & numerical data* ; Young Adult ; Medical Assistance/statistics & numerical data* ; Insurance Coverage/statistics & numerical data*

OBJECTIVE: To evaluate the effect of palliative care on drug use, medical service utilization and medical expenditure of patients with advanced cancer. METHODS: A cohort of patients including pal-liative care and standard care was constructed using the medical records of the patients in Peking University Cancer Hospital from 2018 to 2020, and coarsened exact matching was used to match the two groups of patients. The average monthly opioid consumption, hospitalization rate, intensive care unit (ICU) rate and operation rate, and the average monthly total cost were selected to evaluate drug use, medical service utilization and medical expenditure. Chi-square test and Wilcoxon signed rank test were used to compare the differences between the two groups before and after exposure and the change in the palliative care group. The net impact of palliative care on the patients was calculated using the difference-in-differences analysis. RESULTS: In this study, 180 patients in the palliative care group and 3 101 patients in the stan-dard care group were finally included in the matching, and the matching effect of the two groups was good (L₁ < 0.1). Before and after exposure, the average monthly opioid consumption in the palliative care group was significantly higher than that in the standard care group (Before exposure: 0.3 DDD/person-month vs. 0.1 DDD/person-month, P < 0.01; After exposure: 0.7 DDD/person-month vs. 0.1 DDD/person-month, P < 0.01; DDD refers to defined daily dose), palliative care significantly increased the average monthly opioid consumption in the patients (0.3 DDD/person-month, P < 0.01). The hospitalization rate (48.9% vs. 74.3%, P < 0.01) and operation rate (3.9% vs. 8.8%, P < 0.01) of the patients in palliative care group were significantly lower than those in standard care group, and the ICU rate became similar between the two groups (1.1% vs. 1.6%, P=0.634). Palliative care significantly reduced the patients ' hospitalization rate (-25.6%, P < 0.01), ICU rate (-4.9%, P < 0.01) and operation rate (-14.5%, P < 0.01). Before and after exposure, the average monthly total costs of pal-liative care group were slightly higher than those of standard care group (Before exposure: 20 092.3 yuan vs. 19 132.8 yuan, P=0.725; After exposure: 9 719.8 yuan vs. 8 818.8 yuan, P=0.165). Palliative care increased the average monthly total cost by 2 208.8 yuan, but it was not statistically significant (P=0.316). CONCLUSION Palliative care can increase the opioid consumption in advanced cancer patients, reduce the rates of hospitalization, ICU and surgery, but has no significant effect on medical expenditure.
Humans ; Palliative Care/economics* ; Neoplasms/drug therapy* ; Analgesics, Opioid/economics* ; Male ; Female ; Middle Aged ; Aged ; Hospitalization/economics* ; Intensive Care Units/statistics & numerical data* ; Health Expenditures/statistics & numerical data* ; Adult ; Drug Utilization/statistics & numerical data* ; Patient Acceptance of Health Care/statistics & numerical data*

BACKGROUND: This study aims to utilize Organization for Economic Cooperation and Development (OECD) data to identify macroscopic determinants of health at national level and to utilize it in health policy development through comparison and analysis with Korea. METHODS: The potential years of life lost (PYLL) were used as dependent variables and 19 indicators were selected as health determinants to be independent variables based on the results of previous studies. Data analysis was done using SAS ver. 9.4 package (SAS Institute Inc., Cary, NC, USA) and model used in technical statistics concerning PYLL by countries, multi-linearity test between independent variables and OECD economic studies were modified and used. RESULTS: From 1994 to 2012, the average PYLL for OECD countries was 4,262.9 years, the highest in Estonia and the lowest in Iceland. As a result of the analysis using the fixed effect model, the significant variables affecting PYLL were four variables: gross domestic product, nitric oxide, tobacco consumption, and number of doctors. The health determinants that had more influence on the PYLL of Korean people compared to other OECD countries were tobacco consumption, calorie consumption, fat intake and total health expenditure. CONCLUSION: In order to effectively reduce unnecessary deaths, we must continue to strengthen our smoking policy and nutrition policies such as calorie and fat intake. It is necessary to prevent the increase of total health expenditure due to the increase in the prevalence of chronic diseases and to strengthen the public health aspect.
Chronic Disease ; Estonia ; Gross Domestic Product ; Health Expenditures ; Health Policy ; Iceland ; Korea ; Nitric Oxide ; Nutrition Policy ; Organisation for Economic Co-Operation and Development ; Prevalence ; Public Health ; Smoke ; Smoking ; Statistics as Topic ; Tobacco Use

Persons with disabilities use more health care services due to ill health and face higher health care expenses and burden. This study explored the incidence of catastrophic health expenditures of households with persons with disabilities compared to that of those without such persons. We used the Korean Health Panel (KHP) dataset for the years 2010 and 2011. The final sample was 5,610 households; 800 (14.3%) of these were households with a person with a disability and 4,810 (85.7%) were households without such a person. Households with a person with a disability faced higher catastrophic health expenditures, spending about 1.2 to 1.4 times more of their annual living expenditures for out-of-pocket medical expenses, compared to households without persons with disabilities. Households having low economic status and members with chronic disease were more likely to face catastrophic health expenditures, while those receiving public assistance were less likely. Exemption or reduction of out-of-pocket payments in the National Health Insurance and additional financial support are needed so that the people with disabilities can use medical services without suffering financial crisis.
Aged ; Databases, Factual ; Delivery of Health Care/*economics ; Disabled Persons ; Health Expenditures/*statistics & numerical data ; Humans ; Middle Aged ; National Health Programs ; Odds Ratio ; Republic of Korea

PURPOSE: Rapid growth of prescription drug expenditures is a problem in South Korea. The objective of this study was to assess the contributions of four variables (therapeutic choice, drug-mix, original use, and price changes) to increases in drug expenditures paid by the National Health Insurance (NHI) in Korea. MATERIALS AND METHODS: A retrospective cohort study was conducted between January 1, 2008 and June 30, 2012 utilizing data from the NHI Claims Database of the Health Insurance Review and Assessment Service. The number of target drug types for final analysis was 13959. To analyze the growth rates of drug expenditures, this study used Fisher ideal index and the Laspeyres and Paasche indexes. RESULTS: With the exception of 2012, therapeutic choice contributed to about 40-60% of the increase in drug expenditures every year, while drug-mix contributed to another 30-40%. CONCLUSION: The rapid growth in prescription drug expenditure was found to be largely due to drug-mix and therapeutic choice over time. Original use had little impact on drug spending.
Cohort Studies ; Health Expenditures/*statistics & numerical data ; Humans ; National Health Programs/*economics ; Prescription Drugs/*economics ; Republic of Korea ; Retrospective Studies

BACKGROUNDChina has not established social security system for rare diseases. Rare diseases could easily impoverish patients and their families. Little research has studied the equity and accessibility of health services for patients with rare diseases in China. This study aimed to explore the factors that influence health expenditure of rare diseases and evaluate its equity.

METHODSQuestionnaire survey about living conditions and cost burden of patients with rare diseases was conducted. Individual and family information, health expenditure and reimbursement in 2014 of 982 patients were collected. The impact of medical insurance, individual sociodemographic characteristics, family characteristics, and healthcare need on total and out-of-pocket (OOP) health expenditures was analyzed through the generalized linear model. Equity of health expenditure was evaluated by both concentration index and Lorenz curve.

RESULTSOf all the surveyed patients, 11.41% had no medical insurance and 92.10% spent money to seek medical treatment in 2014. It was suggested female (P = 0.048), over 50 years of age (P = 0.062), high-income group (P = 0.021), hospitalization (P = 0.000), and reimbursement ratio (RR) (P = 0.000) were positively correlated with total health expenditure. Diseases not needing long-term treatment (P = 0.000) was negatively correlated with total health expenditure. Over 50 years of age (P = 0.065), high-income group (P = 0.018), hospitalization (P = 0.000) and having Urban Employee Basic Medical Insurance (UEBMI) (P = 0.022) were positively correlated with OOP health expenditure. Patient or the head of the household having received higher education (P = 0.044 and P = 0.081) and reimbursement ratio (P = 0.078) were negatively correlated with OOP health expenditure. The equity evaluation found concentration indexes of health expenditure before and after reimbursement were 0.0550 and 0.0539, respectively.

CONCLUSIONSOOP health expenditure of patients with UEBMI was significantly more than that of patients without medical insurance. However, for any other medical insurance, there was no difference between OOP health expenditure of the insured patients and patients without insurance. The current reimbursement policies have increased the equity of health expenditure, but are biased toward high-income people.

China ; Female ; Health Expenditures ; statistics & numerical data ; Humans ; Insurance, Health ; economics ; statistics & numerical data ; Male ; Rare Diseases ; economics ; Surveys and Questionnaires

BACKGROUNDThe New Rural Cooperative Medical Scheme (NCMS) has been further adjusted and optimized to reduce the financial burden of rural residents and to achieve universal coverage for them. In this study, we aimed to explore the impact of NCMS on medical service utilization and medical expense of inpatients in recent years.

METHODSThe research data of Hainan Province were extracted from the Chinese NCMS platform from 2012 to 2014. Detailed information included total expenditure, average inpatients costs, average out-of-pocket payments, actual reimbursement rate, and average annual growth rate of the above indicators. Descriptive analysis was used to gauge the effects of NCMS.

RESULTSIn the utilization of medical services, NCMS inpatients in tertiary hospital decreased from 25.49% in 2012 to 20.39% in 2014, inpatients in county hospitals increased from 39.49% to 55.92%, simultaneously. The total expenditure in county hospitals rose steadily from 28.46% to 46.66%, meanwhile, the total expenditure in tertiary hospitals fell from 60.44% to 44.51%.The average out-of-pocket costs of rural inpatients remained stable over the years. Furthermore, the compensation fund of NCMS inpatients grew significantly. The actual inpatient reimbursement rate at township health centers increased from 76.93% to 84.04%. Meanwhile, the rate at county hospitals and tertiary hospitals increased slightly from 59.37% and 46.10% to 61.25% and 47.71%, respectively.

CONCLUSIONSWith the improvement of the reimbursement ability, especially after the new health care reform in 2009, the NCMS have been playing a prominent role in alleviating the economic burden of farmers' medical treatment. Meanwhile, more patients go to primary hospitals than tertiary hospitals, and the capability of primary hospitals has been greatly improved.

China ; Female ; Health Expenditures ; statistics & numerical data ; Hospitalization ; statistics & numerical data ; Humans ; Inpatients ; statistics & numerical data ; Insurance, Health ; economics ; Male ; Rural Population

BACKGROUNDThe study was to explore the causes of high inpatient expenditure through analyzing the distribution characteristics as well as the influence factors of high inpatient expenditure cases during 3 years within a Grade-A tertiary hospital through various aspects and multiple angles, thus identifying the major influence factors for high medical expenditure to develop further research.

METHODSWe retrospectively studied 2041 inpatient cases which cost more than RMB 100,000 Yuan per case in a Grade-A tertiary hospital from 2013 to 2015. We analyzed the compositions of the medical cost to evaluate the major factors that cause the high inpatient expenditure. All the data and materials were collected from medical record system, and the statistical methods included t-test, variance of analysis, and multivariate linear regression.

RESULTSThe average cost of the 2,041 cases was RMB 152,173 Yuan for medicines and materials of medical costs, which respectively accounted for 33.03% and 32.32% of the total cost; and the average length of hospital stay was 28.39 days/person. Diseases of skeletal and muscular system, circulatory system, and tumor were the top three disease categories of high inpatient expenditure, which accounted for 39.00%, 33.46%, and 18.03%, respectively. Complications, criticality of the disease, gender of the patients, the occurrence of death, and the excessive length of hospital stay all had great impacts on average medical expenditure, while age, hospital infection, and surgery showed no significant impact on average medical cost.

CONCLUSIONSThe main factors for high inpatient expenditure included the inadequate use of high-value medicines and materials, lacking cost control measures within the hospital, the excessive length of hospital stay for inpatients, and the unnecessary treatment for the patients.

China ; Female ; Health Expenditures ; statistics & numerical data ; Hospitalization ; economics ; Humans ; Inpatients ; statistics & numerical data ; Length of Stay ; economics ; Male ; Multivariate Analysis ; Retrospective Studies