Changes in the Hospital Standardized Mortality Ratio Before and During the COVID-19 Pandemic: A Disaggregated Analysis by Region and Hospital Type in Korea / 예방의학회지

Objectives@#The coronavirus disease 2019 (COVID-19) pandemic has led to a global shortage of medical resources; therefore, we investigated whether COVID-19 impacted the quality of non-COVID-19 hospital care in Korea by comparing hospital standardized mortality rates (HSMRs) before and during the pandemic. @*Methods@#This retrospective cohort study analyzed Korean National Health Insurance discharge claim data obtained from January to June in 2017, 2018, 2019, and 2020. Patients’ in-hospital deaths were classified according to the most responsible diagnosis categories. The HSMR is calculated as the ratio of expected deaths to actual deaths. The time trend in the overall HSMR was analyzed by region and hospital type. @*Results@#The final analysis included 2 252 824 patients. In 2020, the HSMR increased nationwide (HSMR, 99.3; 95% confidence interval [CI], 97.7 to 101.0) in comparison to 2019 (HSMR, 97.3; 95% CI, 95.8 to 98.8). In the COVID-19 pandemic zone, the HSMR increased significantly in 2020 (HSMR, 112.7; 95% CI, 107.0 to 118.7) compared to 2019 (HSMR, 101.7; 95% CI, 96.9 to 106.6). The HSMR in all general hospitals increased significantly in 2020 (HSMR, 106.4; 95% CI, 104.3 to 108.5) compared to 2019 (HSMR, 100.3; 95% CI, 98.4 to 102.2). Hospitals participating in the COVID-19 response had a lower HSMR (HSMR, 95.6; 95% CI, 93.9 to 97.4) than hospitals not participating in the COVID-19 response (HSMR, 124.3; 95% CI, 119.3 to 129.4). @*Conclusions@#This study suggests that the COVID-19 pandemic may have negatively impacted the quality of care in hospitals, especially general hospitals with relatively few beds. In light of the COVID-19 pandemic, it is necessary to prevent excessive workloads in hospitals and to properly employ and coordinate the workforce.

Estimation of Excess All-cause Mortality during COVID-19 Pandemic in Korea

Background@#Excess all-cause mortality is helpful to assess the full extent of the health impact, including direct and indirect deaths of coronavirus disease 2019 (COVID-19). The study aimed to estimate overall and regional excess all-cause mortality during the pandemic in Korea. @*Methods@#We obtained all-cause death data and population statistics from January 2010 to December 2020. The expected mortality in 2020 was estimated using a quasi-Poisson regression model. The model included death year, seasonal variation, cold wave (January), average death counts in the previous month, and population. Excess mortality was defined as the difference between the observed mortality and the expected mortality. Regions were classified into three areas according to the numbers of COVID-19 cases. @*Results@#There was no annual excess all-cause mortality in 2020 at the national and regional level compared to the average death for the previous ten years. The observed mortality in 2020 was 582.9 per 100,000 people, and the expected mortality was 582.3 per 100,000 people (95% confidence interval, 568.3–596.7). However, we found monthly and regional variations depending on the waves of the COVID-19 pandemic in Korea. While the mortality in August, October, and November exceeded the expected range, the mortality in September was lower than the expected range. The months in which excess deaths were identified differed by region. @*Conclusion@#Our results show that the mortality in 2020 was similar to the historical trend.However, in the era of the COVID-19 pandemic, it would be necessary to regularly investigate COVID-19-related mortality and determine its direct and indirect causes.

Estimation of Excess All-cause Mortality during COVID-19 Pandemic in Korea

Background@#Excess all-cause mortality is helpful to assess the full extent of the health impact, including direct and indirect deaths of coronavirus disease 2019 (COVID-19). The study aimed to estimate overall and regional excess all-cause mortality during the pandemic in Korea. @*Methods@#We obtained all-cause death data and population statistics from January 2010 to December 2020. The expected mortality in 2020 was estimated using a quasi-Poisson regression model. The model included death year, seasonal variation, cold wave (January), average death counts in the previous month, and population. Excess mortality was defined as the difference between the observed mortality and the expected mortality. Regions were classified into three areas according to the numbers of COVID-19 cases. @*Results@#There was no annual excess all-cause mortality in 2020 at the national and regional level compared to the average death for the previous ten years. The observed mortality in 2020 was 582.9 per 100,000 people, and the expected mortality was 582.3 per 100,000 people (95% confidence interval, 568.3–596.7). However, we found monthly and regional variations depending on the waves of the COVID-19 pandemic in Korea. While the mortality in August, October, and November exceeded the expected range, the mortality in September was lower than the expected range. The months in which excess deaths were identified differed by region. @*Conclusion@#Our results show that the mortality in 2020 was similar to the historical trend.However, in the era of the COVID-19 pandemic, it would be necessary to regularly investigate COVID-19-related mortality and determine its direct and indirect causes.

New Obligations of Health Insurance Review and Assessment Service: Taking Full-fledged Action Against the COVID-19 Pandemic / 예방의학회지

In 2020, the coronavirus disease 2019 (COVID-19) pandemic has caused unprecedented disruptions to global health systems. The Korea has taken full-fledged actions against this novel infectious disease, swiftly implementing a testing-tracing-treatment strategy. New obligations have therefore been given to the Health Insurance Review and Assessment Service (HIRA) to devote the utmost effort towards tackling this global health crisis. Thanks to the universal national health insurance and state-of-the-art information communications technology (ICT) of the Korea, HIRA has conducted far-reaching countermeasures to detect and treat cases early, prevent the spread of COVID-19, respond quickly to surging demand for the healthcare services, and translate evidence into policy. Three main factors have enabled HIRA to undertake pandemic control preemptively and systematically: nationwide data aggregated from all healthcare providers and patients, pre-existing ICT network systems, and real-time data exchanges. HIRA has maximized the use of data and pre-existing network systems to conduct rapid and responsive measures in a centralized way, both of which have been the most critical tactics and strategies used by the Korean healthcare system. In the face of new obligations, our promise is to strive for a more responsive and resilient health system during this prolonged crisis.

Social Distancing and Transmission-reducing Practices during the 2019 Coronavirus Disease and 2015 Middle East Respiratory Syndrome Coronavirus Outbreaks in Korea

Background@#The absence of effective antiviral medications and vaccines increased the focus on non-pharmaceutical preventive behaviors for mitigating against the coronavirus disease 2019 (COVID-19) pandemic. To examine the current status of non-pharmaceutical preventive behaviors practiced during the COVID-19 outbreak and factors affecting behavioral activities, we compared to the 2015 Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in Korea. @*Methods@#This was a serial cross-sectional population-based study in Korea with four surveys conducted on June 2 and 25, 2015 (MERS-CoV surveys), and February 4, and April 2, 2020 (COVID-19 surveys). Of 25,711 participants selected using random digit dialing numbers, 4,011 participants (aged ≥ 18 years) were successfully interviewed, for the 2020 COVID-19 (n = 2,002) and 2015 MERS-CoV (n = 2,009) epidemics were included. Participants were selected post-stratification by sex, age, and province. The total number of weighted cases in this survey equaled the total number of unweighted cases at the national level. We measured the levels of preventive behaviors (social distancing [avoiding physical contact with others]), and practicing transmission-reducing behaviors such as wearing face mask and handwashing. @*Results@#Between the surveys, respondents who reported practicing social distancing increased from 41.9%–58.2% (MERS-CoV) to 83.4%–92.3% (COVID-19). The response rate for the four surveys ranged between 13.7% and 17.7%. Practicing transmission-reducing behaviors (wearing face masks and handwashing) at least once during COVID-19 (78.8%, 80.2%) also increased compared to that during MERS-CoV (15.5%, 60.3%). The higher affective risk perception groups were more likely to practice transmission-reducing measures (adjusted odds ratio, 3.24–4.81; 95 confidence interval, 1.76–6.96) during both COVID-19 and MERS-CoV. @*Conclusion@#The study findings suggest markedly increased proportions of non-pharmaceutical behavioral practices evenly across all subgroups during the two different novel virus outbreaks in Korea. Strategic interventions are needed to attempt based on preventive behavior works.

Chasms in Achievement of Recommended Diabetes Care among Geographic Regions in Korea

BACKGROUND: Although effective care for type 2 diabetes (T2DM) is well known, considerable inadequate care has been still existed. Variations in achievement of the recommended quality indicators inT2DM care among small areas are not well known in Korea. This study examined the quality of care T2DM care and its geographical variations. METHODS: We used the national health insurance database and national health screening database. Seven quality indicators were used to evaluate continuity of care (medication possession ratio), process of care (hemoglobin A1c test, lipid profile, microalbuminuria test, and eye examination), and intermediate outcome (blood pressure control, and low-density lipoprotein control). Crude and age-standardized proportions were calculated for each 252 districts in Korea. RESULTS: All quality indicators failed to achieve the recommended level. Only about 3% and 15% of the patients underwent eye examination and microalbuminuria test, respectively. Other indicators ranged from 48% to 68%. Wide variation in the quality existed among districts and indicators. Eye examination and microalbuminuria test varied the most showing tenfold (0.9%–9.2%) and fourfold (6.3%–28.9%) variation by districts, respectively. There were 32.4 and 42.7 percentage point gap between the best and the worst districts in hemoglobin A1c test and blood pressure control, respectively. CONCLUSION: Considerable proportion of T2DM patients were not adequately managed and quality of care varied substantially district to district. To improve the quality of diabetes care, it is necessary to identify the poor performance areas and establish a well-coordinated care system tailored to the need of the district.

Improving the Performance of Risk-adjusted Mortality Modeling for Colorectal Cancer Surgery by Combining Claims Data and Clinical Data / 예방의학회지

OBJECTIVES: The objective of this study was to evaluate the performance of risk-adjusted mortality models for colorectal cancer surgery. METHODS: We investigated patients (n=652) who had undergone colorectal cancer surgery (colectomy, colectomy of the rectum and sigmoid colon, total colectomy, total proctectomy) at five teaching hospitals during 2008. Mortality was defined as 30-day or in-hospital surgical mortality. Risk-adjusted mortality models were constructed using claims data (basic model) with the addition of TNM staging (TNM model), physiological data (physiological model), surgical data (surgical model), or all clinical data (composite model). Multiple logistic regression analysis was performed to develop the risk-adjustment models. To compare the performance of the models, both c-statistics using Hanley-McNeil pair-wise testing and the ratio of the observed to the expected mortality within quartiles of mortality risk were evaluated to assess the abilities of discrimination and calibration. RESULTS: The physiological model (c=0.92), surgical model (c=0.92), and composite model (c=0.93) displayed a similar improvement in discrimination, whereas the TNM model (c=0.87) displayed little improvement over the basic model (c=0.86). The discriminatory power of the models did not differ by the Hanley-McNeil test (p>0.05). Within each quartile of mortality, the composite and surgical models displayed an expected mortality ratio close to 1. CONCLUSIONS: The addition of clinical data to claims data efficiently enhances the performance of the risk-adjusted postoperative mortality models in colorectal cancer surgery. We recommended that the performance of models should be evaluated through both discrimination and calibration.

Treatment of Rheumatoid Arthritis Patients with Chronic Hepatitis B: Analysis of Korean National Health Insurance Claims Data

OBJECTIVE: There are currently limited treatment options for rheumatoid arthritis (RA) patients with chronic hepatitis B (CHB). In the process of pursuing further treatment strategies for this subgroup of patients, it is prudent to study what medications have been commonly prescribed, particularly for disease modifying anti-rheumatic agents (DMARDs) in Korea. METHODS: We analyzed the Korean National Health Insurance claims database (2007~2009) of RA patients through co-working with the Clinical Research Center for RA (CRCRA). Patients with CHB were defined by an algorithm including prescription information, blood tests, and the ICD-10 code. RESULTS: There were 8,677 CHB patients (3.8%) among 226,592 RA patients in the database. The age distribution or gender difference in CHB patients was comparable to the general RA population. Hydroxychloroquine was the most frequently (66.2%) prescribed DMARD. Thirty four percent of CHB patients had been prescribed with methotrexate (MTX) during the study period; most of them without concomitant anti-viral treatment. About 3% of RA patients with CHB were prescribed with TNF inhibitors. CONCLUSION: Apart from the published expert recommendations, MTX still seems to be one of the main DMARDs prescribed to Korean RA patients with CHB. This is most likely due to the lack of evidence-based, effective treatment strategies for this subgroup of patients.

Treatment of Rheumatoid Arthritis Patients with Chronic Hepatitis B: Analysis of Korean National Health Insurance Claims Data

OBJECTIVE: There are currently limited treatment options for rheumatoid arthritis (RA) patients with chronic hepatitis B (CHB). In the process of pursuing further treatment strategies for this subgroup of patients, it is prudent to study what medications have been commonly prescribed, particularly for disease modifying anti-rheumatic agents (DMARDs) in Korea. METHODS: We analyzed the Korean National Health Insurance claims database (2007~2009) of RA patients through co-working with the Clinical Research Center for RA (CRCRA). Patients with CHB were defined by an algorithm including prescription information, blood tests, and the ICD-10 code. RESULTS: There were 8,677 CHB patients (3.8%) among 226,592 RA patients in the database. The age distribution or gender difference in CHB patients was comparable to the general RA population. Hydroxychloroquine was the most frequently (66.2%) prescribed DMARD. Thirty four percent of CHB patients had been prescribed with methotrexate (MTX) during the study period; most of them without concomitant anti-viral treatment. About 3% of RA patients with CHB were prescribed with TNF inhibitors. CONCLUSION: Apart from the published expert recommendations, MTX still seems to be one of the main DMARDs prescribed to Korean RA patients with CHB. This is most likely due to the lack of evidence-based, effective treatment strategies for this subgroup of patients.

Korean National Health Insurance Value Incentive Program: Achievements and Future Directions / 예방의학회지

Since the reformation of the National Health Insurance Act in 2000, the Health Insurance Review and Assessment Service (HIRA) in the Republic of Korea has performed quality assessments for healthcare providers. The HIRA Value Incentive Program (VIP), established in July 2007, provides incentives for excellent-quality institutions and disincentives for poor-quality ones. The program is implemented based on data collected between July 2007 and December 2009. The goal of the VIP is to improve the overall quality of care and decrease the quality gaps among healthcare institutions. Thus far, the VIP has targeted acute myocardial infarction (AMI) and Caesarian section (C-section) care. The incentives and disincentives awarded to the hospitals by their composite quality scores of the AMI and C-section scores. The results of the VIP showed continuous and marked improvement in the composite quality scores of the AMI and C-section measures between 2007 and 2010. With the demonstrated success of the VIP project, the Ministry of Health and Welfare expanded the program in 2011 to include general hospitals. The HIRA VIP was deemed applicable to the Korean healthcare system, but before it can be expanded further, the program must overcome several major concerns, as follows: inclusion of resource use measures, rigorous evaluation of impact, application of the VIP to the changing payment system, and expansion of the VIP to primary care clinics.

Effect of Repeated Public Releases on Cesarean Section Rates / 예방의학회지

OBJECTIVES: Public release of and feedback (here after public release) on institutional (clinics and hospitals) cesarean section rates has had the effect of reducing cesarean section rates. However, compared to the isolated intervention, there was scant evidence of the effect of repeated public releases (RPR) on cesarean section rates. The objectives of this study were to evaluate the effect of RPR for reducing cesarean section rates. METHODS: From January 2003 to July 2007, the nationwide monthly institutional cesarean section rates data (1 951 303 deliveries at 1194 institutions) were analyzed. We used autoregressive integrated moving average (ARIMA) time-series intervention models to assess the effect of the RPR on cesarean section rates and ordinal logistic regression model to determine the characteristics of the change in cesarean section rates. RESULTS: Among four RPR, we found that only the first one (August 29, 2005) decreased the cesarean section rate (by 0.81 percent) and continued to have an impact period through the last observation in May 2007. Baseline cesarean section rates (OR, 4.7; 95% CI, 3.1 to 7.1) and annual number of deliveries (OR, 2.8; 95% CI, 1.6 to 4.7) of institutions in the upper third of each category at before first intervention had a significant contribution to the decrease of cesarean section rates. CONCLUSIONS: We could not found the evidence that RPR has had the significant effect of reducing cesarean section rates. Institutions with upper baseline cesarean section rates and annual number of deliveries were more responsive to RPR.

The Change in Readmission Rate, Length of Stay and Hospital Charge after Performance Reporting of Hip Hemiarthroplasty / 예방의학회지

OBJECTIVES: We assessed impact of performance reporting information about the readmission rate, length of stay and cost of hip hemiarthroplasty. METHODS: The data are from a nationwide claims database, National Quality Improvement Project database, of Health Insurance Review & Assessment Service in Korea. From January 2006 to April 2008, we received information of length of stay, readmission within 30 days, cost of 22 851 hip hemiarthroplasty episodes. Each episodes has retained the diagnoses of comorbidities and demographics. We used time-series analysis to assess the shifting of patients selections, between high volume(over 16 operations in a year) and low volume institutions, after performance reporting (december 2007). The changes of quality (readmission, length of stay) and cost were evaluated by multilevel analysis with adjustment of patient's factors and institutional factors after performance reporting. RESULTS: As compared with the before performance reporting, the proportion of patients who choose the high volume institution, increased 3.45% and the trends continued 4 months at marginal significance (p=0.059). After performance reporting, national average readmission rate, length of stay were decreased by 0.49 OR (95% CI=0.25-0.95) and 10% (beta=-0.102 p<0.01) and cost was not changed (beta=-0.01, p<0.27). The high volume institutions were more decreased than low volume in length of stay. CONCLUSIONS: After performance reporting, readmission rate, length of stay were decreased and the patient selections were marginal shifted from low volume institutions to high volume institutions.