Objectives: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on admission rates and in-hospital mortality among patients with ischemic and hemorrhagic stroke. Methods: We constructed a dataset detailing the monthly hospitalizations and mortality rates of inpatients with stroke from January 2017 to December 2021. Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients. Results: The number of ischemic stroke admissions decreased by 18.5%, from 5335 to 4348, immediately following the COVID-19 outbreak (p<0.001). The in-hospital mortality rate for ischemic stroke increased slightly from 3.3% to 3.4% immediately after the outbreak, although it showed a decreasing trend over time. The number of hemorrhagic stroke admissions fell by 7.5%, from 2014 to 1864, immediately following the COVID-19 outbreak. The 30-day in-hospital mortality rate for hemorrhagic stroke initially decreased from 12.9% to 12.7%, but subsequently showed an increasing trend. Conclusions We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. The admission rate for both ischemic and hemorrhagic strokes decreased, while in-hospital mortality increased. Specifically, in-hospital mortality from ischemic stroke rose initially after the outbreak before stabilizing. Additionally, our findings indicate variable effects based on sex, age, and socioeconomic status, suggesting that certain groups may be more susceptible. This underscores the need to identify and support vulnerable populations to mitigate adverse health outcomes.

Objectives: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on admission rates and in-hospital mortality among patients with ischemic and hemorrhagic stroke. Methods: We constructed a dataset detailing the monthly hospitalizations and mortality rates of inpatients with stroke from January 2017 to December 2021. Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients. Results: The number of ischemic stroke admissions decreased by 18.5%, from 5335 to 4348, immediately following the COVID-19 outbreak (p<0.001). The in-hospital mortality rate for ischemic stroke increased slightly from 3.3% to 3.4% immediately after the outbreak, although it showed a decreasing trend over time. The number of hemorrhagic stroke admissions fell by 7.5%, from 2014 to 1864, immediately following the COVID-19 outbreak. The 30-day in-hospital mortality rate for hemorrhagic stroke initially decreased from 12.9% to 12.7%, but subsequently showed an increasing trend. Conclusions We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. The admission rate for both ischemic and hemorrhagic strokes decreased, while in-hospital mortality increased. Specifically, in-hospital mortality from ischemic stroke rose initially after the outbreak before stabilizing. Additionally, our findings indicate variable effects based on sex, age, and socioeconomic status, suggesting that certain groups may be more susceptible. This underscores the need to identify and support vulnerable populations to mitigate adverse health outcomes.

Objectives: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on admission rates and in-hospital mortality among patients with ischemic and hemorrhagic stroke. Methods: We constructed a dataset detailing the monthly hospitalizations and mortality rates of inpatients with stroke from January 2017 to December 2021. Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients. Results: The number of ischemic stroke admissions decreased by 18.5%, from 5335 to 4348, immediately following the COVID-19 outbreak (p<0.001). The in-hospital mortality rate for ischemic stroke increased slightly from 3.3% to 3.4% immediately after the outbreak, although it showed a decreasing trend over time. The number of hemorrhagic stroke admissions fell by 7.5%, from 2014 to 1864, immediately following the COVID-19 outbreak. The 30-day in-hospital mortality rate for hemorrhagic stroke initially decreased from 12.9% to 12.7%, but subsequently showed an increasing trend. Conclusions We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. The admission rate for both ischemic and hemorrhagic strokes decreased, while in-hospital mortality increased. Specifically, in-hospital mortality from ischemic stroke rose initially after the outbreak before stabilizing. Additionally, our findings indicate variable effects based on sex, age, and socioeconomic status, suggesting that certain groups may be more susceptible. This underscores the need to identify and support vulnerable populations to mitigate adverse health outcomes.

Background: This study investigated trends in national expenditures on anticancer and immunomodulating agents from 2013 to 2022. Methods: Information was obtained from the National Health Insurance claims data spanning a period of 10 years, from 2013 to 2022. The subjects of this study are patients diagnosed with cancer who used anticancer agents between January 1, 2013, and December 31, 2022. Trends were examined across various categories, including sex, age groups, routes of healthcare use, and types of healthcare institutions. We calculated the compound annual growth rate in both the number of patients and expenditures by year. Results: In 2013, pharmaceutical expenditures amounted to USD 11,984 million, representing 25.5% of the total healthcare expenditures, which were USD 46,984 million.Within this pharmaceutical expenditure, anticancer medications constituted USD 584 million, or 4.9%. By 2022, pharmaceutical expenditures had risen to USD 22,093 million, accounting for 22.8% of the total healthcare expenditures of USD 96,904 million. Of this amount, USD 1,566 million was allocated to anticancer drugs, which represented 7.1% of the total pharmaceutical expenditures. Between 2013 and 2022, total healthcare expenditures experienced a significant increase of 106.2%, reaching USD 49,920 million. Concurrently, pharmaceutical expenditures rose by 91.1% to USD 10,919 million, while expenditures on anticancer drugs surged by 168.2% to USD 982 million. In 2022, the category with the highest expenditures was ATC L01FF, which includes programmed cell death protein 1/death ligand 1 inhibitors such as nivolumab, totaling USD 266.2 million. This was followed by L01FD at USD 198.8 million and L01EA at USD 140.4 million. Since 2018, however, spending on immune checkpoint blockers targeting cell death proteins or ligands has continued to rise and currently ranks first. Conclusion The number of patients using anticancer drugs and the associated drug expenditures have risen between 2013 and 2022. As the share of anticancer drugs in total drug expenditures grows, so too do the overall expenditures. This escalating financial burden highlights the necessity for policymakers to thoroughly understand the appropriate and costeffective usage of anticancer drugs, as it directly influences the affordability and accessibility of healthcare services.

Background: This study investigated trends in national expenditures on anticancer and immunomodulating agents from 2013 to 2022. Methods: Information was obtained from the National Health Insurance claims data spanning a period of 10 years, from 2013 to 2022. The subjects of this study are patients diagnosed with cancer who used anticancer agents between January 1, 2013, and December 31, 2022. Trends were examined across various categories, including sex, age groups, routes of healthcare use, and types of healthcare institutions. We calculated the compound annual growth rate in both the number of patients and expenditures by year. Results: In 2013, pharmaceutical expenditures amounted to USD 11,984 million, representing 25.5% of the total healthcare expenditures, which were USD 46,984 million.Within this pharmaceutical expenditure, anticancer medications constituted USD 584 million, or 4.9%. By 2022, pharmaceutical expenditures had risen to USD 22,093 million, accounting for 22.8% of the total healthcare expenditures of USD 96,904 million. Of this amount, USD 1,566 million was allocated to anticancer drugs, which represented 7.1% of the total pharmaceutical expenditures. Between 2013 and 2022, total healthcare expenditures experienced a significant increase of 106.2%, reaching USD 49,920 million. Concurrently, pharmaceutical expenditures rose by 91.1% to USD 10,919 million, while expenditures on anticancer drugs surged by 168.2% to USD 982 million. In 2022, the category with the highest expenditures was ATC L01FF, which includes programmed cell death protein 1/death ligand 1 inhibitors such as nivolumab, totaling USD 266.2 million. This was followed by L01FD at USD 198.8 million and L01EA at USD 140.4 million. Since 2018, however, spending on immune checkpoint blockers targeting cell death proteins or ligands has continued to rise and currently ranks first. Conclusion The number of patients using anticancer drugs and the associated drug expenditures have risen between 2013 and 2022. As the share of anticancer drugs in total drug expenditures grows, so too do the overall expenditures. This escalating financial burden highlights the necessity for policymakers to thoroughly understand the appropriate and costeffective usage of anticancer drugs, as it directly influences the affordability and accessibility of healthcare services.

Background: This study investigated trends in national expenditures on anticancer and immunomodulating agents from 2013 to 2022. Methods: Information was obtained from the National Health Insurance claims data spanning a period of 10 years, from 2013 to 2022. The subjects of this study are patients diagnosed with cancer who used anticancer agents between January 1, 2013, and December 31, 2022. Trends were examined across various categories, including sex, age groups, routes of healthcare use, and types of healthcare institutions. We calculated the compound annual growth rate in both the number of patients and expenditures by year. Results: In 2013, pharmaceutical expenditures amounted to USD 11,984 million, representing 25.5% of the total healthcare expenditures, which were USD 46,984 million.Within this pharmaceutical expenditure, anticancer medications constituted USD 584 million, or 4.9%. By 2022, pharmaceutical expenditures had risen to USD 22,093 million, accounting for 22.8% of the total healthcare expenditures of USD 96,904 million. Of this amount, USD 1,566 million was allocated to anticancer drugs, which represented 7.1% of the total pharmaceutical expenditures. Between 2013 and 2022, total healthcare expenditures experienced a significant increase of 106.2%, reaching USD 49,920 million. Concurrently, pharmaceutical expenditures rose by 91.1% to USD 10,919 million, while expenditures on anticancer drugs surged by 168.2% to USD 982 million. In 2022, the category with the highest expenditures was ATC L01FF, which includes programmed cell death protein 1/death ligand 1 inhibitors such as nivolumab, totaling USD 266.2 million. This was followed by L01FD at USD 198.8 million and L01EA at USD 140.4 million. Since 2018, however, spending on immune checkpoint blockers targeting cell death proteins or ligands has continued to rise and currently ranks first. Conclusion The number of patients using anticancer drugs and the associated drug expenditures have risen between 2013 and 2022. As the share of anticancer drugs in total drug expenditures grows, so too do the overall expenditures. This escalating financial burden highlights the necessity for policymakers to thoroughly understand the appropriate and costeffective usage of anticancer drugs, as it directly influences the affordability and accessibility of healthcare services.

Background: This study investigated trends in national expenditures on anticancer and immunomodulating agents from 2013 to 2022. Methods: Information was obtained from the National Health Insurance claims data spanning a period of 10 years, from 2013 to 2022. The subjects of this study are patients diagnosed with cancer who used anticancer agents between January 1, 2013, and December 31, 2022. Trends were examined across various categories, including sex, age groups, routes of healthcare use, and types of healthcare institutions. We calculated the compound annual growth rate in both the number of patients and expenditures by year. Results: In 2013, pharmaceutical expenditures amounted to USD 11,984 million, representing 25.5% of the total healthcare expenditures, which were USD 46,984 million.Within this pharmaceutical expenditure, anticancer medications constituted USD 584 million, or 4.9%. By 2022, pharmaceutical expenditures had risen to USD 22,093 million, accounting for 22.8% of the total healthcare expenditures of USD 96,904 million. Of this amount, USD 1,566 million was allocated to anticancer drugs, which represented 7.1% of the total pharmaceutical expenditures. Between 2013 and 2022, total healthcare expenditures experienced a significant increase of 106.2%, reaching USD 49,920 million. Concurrently, pharmaceutical expenditures rose by 91.1% to USD 10,919 million, while expenditures on anticancer drugs surged by 168.2% to USD 982 million. In 2022, the category with the highest expenditures was ATC L01FF, which includes programmed cell death protein 1/death ligand 1 inhibitors such as nivolumab, totaling USD 266.2 million. This was followed by L01FD at USD 198.8 million and L01EA at USD 140.4 million. Since 2018, however, spending on immune checkpoint blockers targeting cell death proteins or ligands has continued to rise and currently ranks first. Conclusion The number of patients using anticancer drugs and the associated drug expenditures have risen between 2013 and 2022. As the share of anticancer drugs in total drug expenditures grows, so too do the overall expenditures. This escalating financial burden highlights the necessity for policymakers to thoroughly understand the appropriate and costeffective usage of anticancer drugs, as it directly influences the affordability and accessibility of healthcare services.

Purpose: The purpose of this study is to determine the level of health equity in relation to cancer incidence. Materials and Methods: We used the National Health Insurance claims data of the National Health Insurance Service between 2005 and 2022 and annual health insurance and medical aid beneficiaries between 2011 and 2021 to investigate the disparities of cancer incidence. We calculated age-sex standardized cancer incidence rates by cancer and year according to the type of insurance and the trend over time using the annual percentage change. We also compared the hospital type of the first diagnosis by cancer type and year and cancer incidence rates by cancer type and region in 2021 according to the type of insurance. Results: The total cancer incidence increased from 255,971 in 2011 to 325,772 cases in 2021. The absolute difference of total cancer incidence rate between the NHI beneficiaries and the medical aid (MA) recipients increased from 510.1 cases per 100,000 population to 536.9 cases per 100,000 population. The odds ratio of total cancer incidence for the MA recipients increased from 1.79 (95% confidence interval [CI], 1.77 to 1.82) to 1.90 (95% CI, 1.88 to 1.93). Disparities in access to hospitals and regional cancer incidence were profound. Conclusion This study examined health inequities in relation to cancer incidence over the last decade. Cancer incidence was higher in the MA recipients, and the gap was widening. We also found that regional differences in cancer incidence still exist and are getting worse. Investigating these disparities between the NHI beneficiaries and the MA recipients is crucial for implementing of public health policies to reduce health inequities.

OBJECTIVES: The aim of this study was to investigate cancer patients’ utilization of tertiary hospitals in Seoul before and after the benefit expansion policy implemented in 2013. METHODS: This was a before-and-after study using claims data of the Korean National Health Insurance Service from 2011 to 2016. The unit of analysis was inpatient episodes, and inpatient episodes involving a malignant neoplasm (International Classification of Diseases, Tenth Revision codes: C00-C97) were included in this study. The total sample (n=5 565 076) was divided into incident cases and prevalent cases according to medical use due to cancer in prior years. The tertiary hospitals in Seoul were divided into two groups (the five largest hospitals and the other tertiary hospitals in Seoul). RESULTS: The proportions of the incident and prevalent episodes occurring in tertiary hospitals in Seoul were 34.9% and 37.2%, respectively, of which more than 70% occurred in the five largest hospitals in Seoul. Utilization of tertiary hospitals in Seoul was higher for inpatient episodes involving cancer surgery, patients with a higher income, patients living in areas close to Seoul, and patients living in areas without a metropolitan city. The utilization of the five largest hospitals increased by 2 percentage points after the policy went into effect. CONCLUSIONS: The utilization of tertiary hospitals in Seoul was concentrated among the five largest hospitals. Future research is necessary to identify the consequences of this utilization pattern.
Classification ; Health Policy ; Humans ; Inpatients ; National Health Programs ; Seoul ; Tertiary Care Centers

BACKGROUND: This study addressed town-level mortality rates using the National Health Information Database (NHID) of the National Health Insurance Service in Korea in comparison with those derived from the National Administrative Data (NAD) of the Ministry of Interior and Safety. METHODS: We employed the NHID and NAD between 2014 and 2017. We compared the numbers of population and deaths at the national level between these two data sets. We also compared the distribution of the town-level numbers of population and deaths of the two data sets. Correlation analyses were performed to investigate the relation between the NHID and NAD in the town-level numbers of population and deaths, crude mortality rate, and standardized mortality ratio (SMR). RESULTS: The numbers of population and deaths in the NHID were almost identical to those in the NAD, regardless of gender. The distribution of the town-level numbers of population and deaths was also similar between the two data sets during the entire study period. Throughout the study period, the Pearson correlation coefficients between the two databases for the town-level numbers of population and deaths and the crude mortality rate were 0.996 or over. The correlation coefficients for the SMR ranged from 0.937 to 0.972. CONCLUSION: Town-level mortality showed significant correlation and concordance between the NHID and NAD. This result highlights the possibility of producing future analyses of town-level health-related indicators in Korea, including the mortality rate, using the NHID.
Dataset ; Korea ; Mortality ; NAD ; National Health Programs ; Republic of Korea ; Statistics as Topic