• Journal of Preventive Medicine and Public Health
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• v.40 no.1
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• pp.29-35
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• 2007

Objectives : To assess whether the risk-adjusted in-hospital mortality rates for non-emergent and isolated coronary artery bypass graft surgery (CABG) patients exhibited a consistent trend from 2001 to 2003. Methods : The data used in this study came from CABG claims that were submitted to a Korean Health Insurance Review Agency (HIRA) in 2001, 2002, and 2003. Study datasets included data from 17 tertiary hospitals, which had at least 25 claims each year over 3 years. The inter-hospital differences in patients' risk-factors were identified and controlled in the risk-adjustment model. Actual and predicted mortality rates for each hospital were calculated in 2001, 2002, 2003, and 2001+2002, and were then examined to identify consistent rate patterns over time. Kappa analysis was applied to assess the agreements between rates. Results : Hospitals with lower-than-expected inpatient mortality rates showed more consistent rates than those with higher-than-expected mortality rates. The mortality rates that were calculated based on data obtained over multiple years had less variation among hospitals than rates based on single year data. Based on the Kappa score, the highest agreement was found when the rates were compared between the 2-year combined data (2001+2002) and 2003. Conclusions : Consistent patterns over 3 years were most evident for hospitals which had lower-than expected mortality rates. Policy makers can use this information to identify the degree of outcomes in hospitals and help motivate or channel the behaviors of providers.

• Journal of Bone Metabolism
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• v.25 no.4
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• pp.227-233
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• 2018

Background: Few studies have investigated the effects of sarcopenia on postoperative outcomes including mortality rates following surgery for osteoporotic hip fractures. The purpose of the present study was to determine the prevalence of sarcopenia and the relationship between sarcopenia and 1- and 5-year mortality rates in a consecutive series of patients with osteoporotic hip fractures. Methods: Among patients who underwent hip surgery for osteoporotic hip fractures, this study included 91 patients subjected to abdominal computed tomography within 1 year of hip surgery. We defined sarcopenia using sex-specific cut-off points for the skeletal muscle index at the level of the third lumbar vertebra. All patients were divided into 2 groups according to the presence or absence of sarcopenia and the 1- and 5-year mortality rates were compared. To confirm factors affecting mortality in addition to sarcopenia, we examined patient age, sex, American Society of Anesthesiologists grade, location of fracture, type of surgery, and bone mineral density. Results: The 1- and 5-year mortality rates were 20.9% and 67.2%, respectively. Among the 45 patients with sarcopenia, the 1- and 5-year mortality rates were 22.2% and 82.7%, respectively. Of the 46 patients without sarcopenia, the 1- and 5-year mortality rates were 19.6% and 52.7%, respectively. Results of the Kaplan-Meier analysis showed that sarcopenia did not affect the 1-year mortality rate (P=0.793), but had a significant effect on the 5-year mortality rate (P=0.028). Both perioperative sarcopenia (P=0.018) and osteoporosis (P=0.000) affected the 5-year mortality rate. Conclusions: Sarcopenia increases the risk of 5-year mortality in patients with osteoporotic hip fractures.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.279-294
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• 1996

This study was to evaluate hospital characteristics as composition of manpower and facilities to the death rate of patient; and to earmark the factors affecting the overall hospital mortality rates. The data utilized were derived from survey material conducted by the Korean Hospital Association on 32 tertiary referral hospitals in Korea between 1986 and 1994. The findings are : 1. Those hospitals having the most capacity per bed had little difference to the mortality rates than the others. 2. Those hospitals having the most daily patients per specialist had significantly higher mortality rates than the others, but the number of daily patients per nurse had little effect on the mortality rates. 3. Those hospitals which had a relatively sufficient number of quality assurance activities revealed a lower mortality, and particularly in case where such effort was directed to the clinicians, the outcome was remarkable. We concluded that the major factor affecting the hospital mortality rates seems to be the number of specialists per number of beds, the degree of quality assurance assessment of the clinicians, the quality assurance activities of each hospital as a whole, and the number of daily patient per specialist. According to the findings of this study, the composition and quality of specialist and adequate quality assurance activities seemed to be the essential for the improvement of hospital care. Therefore, in this regard e proper implementation of policy and support is highly recommended. Due to lack of available research material, the personal characteristics of specialists haven't been considered in this study. However, this longitudinal observation of 32 tertiary referral hospitals over a nine year period has significant merit alone.

• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.1-12
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• 2020

During the COVID-19 pandemic, most of the western countries with advanced medical technology failed to contain coronavirus. This fact triggered our research question of what factors influence the clinical outcomes like infection rates and case mortality rates. This study aims to identify the determinants of COVID-19 related infection rates and case mortality rates. We considered three sets of independent variables: 1) socio-demographic characteristics; 2) cultural characteristics; 3) healthcare system characteristics. For the analysis, we created an international dataset from diverse sources like World Bank, Worldometers, Hofstede Insight, GHS index etc. The COVID-19 related statistics were retrieved from Aug. 1. Total cases are from 95 countries. We used hierarchical regression method to examine the linear relationship among variables. We found that obesity, uncertainty avoidance, hospital beds per 1,000 made a significant influence on the standardized COVID-19 infection rates. The countries with higher BMI score or higher uncertainty avoidance showed higher infection rates. The standardized COVID-19 infection rates were inversely related to hospital beds per 1,000. In the analysis on the standardized COVID-19 case mortality rates, we found that two cultural characteristics(e.g., individualism, uncertainty avoidance) showed statistically significant influence on the case mortality rates. The healthcare system characteristics did not show any statistically significant relationship with the case mortality rates. The cultural characteristics turn out to be significant factors influencing the clinical outcomes during COVID-19 pandemic. The results imply that the persuasive communication is important to trigger the public commitment to follow preventive measures. The strategy to keep the hospital surge capacity needs to be developed.

• Health Policy and Management
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• v.17 no.3
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• pp.87-105
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• 2007

The purpose of this study was to analyze whether nonemergency, isolated coronary artery bypass graft (CABG) surgery for high- or low-risk patients biases the assessment of the risk-adjusted mortality rates of hospitals. This study used 2002 National Health Insurance claims data for tertiary hospitals in Korea. The study sample consisted of 1,959 patients from 23 tertiary hospitals. The risk-adjustment model used the patients' biological, admission, and comorbidity data identified in the claims. The subjects were classified into high- and low-risk groups based on predicted surgical risk. The crude mortality rates and risk-adjusted mortality rates for low-risk, high-risk, and all patients in a hospital were compared based on the rank and the four intervals defined by quartile. Also, the crude mortality rates of the three groups were compared with their 95% confidence intervals of predicted mortality rates. The C-statistic (0.83) and Hosmer-Lemeshow test ($X^2$=11.47, p=0.18) indicated that the risk-adjustment model performed well. Presenting crude mortality rates with their 95% confidence intervals of predicted rates showed higher agreements among the three groups than using the rank or intervals of mortality rates defined by quartile in the hospital performance assessment. The crude mortality rates for the low-risk patients in 21 of the 23 hospitals were located on the same side of their 95% confidence intervals compared to that for all patients. High-risk patients and all patients differed at only one hospital. In conclusion, the impact of risk selection by hospital on the assessment results was the smallest when comparing the crude inpatient mortality rates of CABG patients with the 95% confidence intervals of predicted mortality rates. Given the increasing importance of quality improvements in Korean health policy, it will be necessary to use the appropriate method of releasing the hospital performance data to the public to minimize any unwanted impact such as risk-based hospital selection.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.5
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• pp.474-484
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• 2018

Objective: The time to positivity (TTP) of blood culture reflects bacterial load and has been reported to be associated with outcome in bloodstream infections. This study was performed to evaluate the relationship between the TTP of blood culture and the mortality rates associated with sepsis and septic shock according to the site of infection. Methods: We performed a retrospective cohort study on patients with sepsis and septic shock. The rates of blood culture positivity and mortality as well as the relationship between the TTP and 28-day mortality rate were compared among patients with different sites of infection, such as the lungs, abdomen, urogenital tract, and other sites. Results: A total of 2,668 patients were included, and the overall mortality rate was 21.6%. The rates of blood culture positivity and mortality were different among the different infection sites. There was no relationship between the TTP and mortality rates of total, lung, and urogenital infections. Patients with abdominal infections showed a negative correlation between the TTP and 28-day mortality rate. In patients with abdominal infections, a TTP<20 hours was independently associated with 28-day mortality compared with patients with negative blood culture (hazard ratio, 1.73; 95% confidence interval, 1.16-2.58). However, there was no difference in mortality rates of patients with a $TTP{\geq}20$ hours and a negative blood culture. Conclusion: The shorter TTP in patients with abdominal infections in sepsis and septic shock was associated with a higher 28-day mortality rate.

• Journal of Preventive Medicine and Public Health
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• v.34 no.3
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• pp.244-252
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• 2001

Objective : Health insurers and policy makers are increasingly examining the hospital mortality rate as an indicator of hospital quality and performance. To be meaningful, a risk-adjustment of the death rates must be implemented. This study reviewed 5 severity measurement methods and applied them to the same data set to determine whether judgments regarding the severity-adjusted hospital mortality rates were sensitive to the specific severity measure. Methods : The medical records of 584 patients who underwent coronary artery bypass graft surgery in 6 general hospitals during 1996 and 1997 were reviewed by trained nurses. The MedisGroups, Disease Staging, Computerized Severity Index, APACHE III and KDRG were used to quantify severity of the patients. The predictive probability of death was calculated for each patient in the sample from a multivariate logistic regression model including the severity score, age and sex to evaluate the hospitals' performance, the ratio of the observed number of deaths to the expected number for each hospital was calculated. Results : The overall in-hospital mortality rate was 7.0%, ranging from 2.7% to 15.7% depending on the particular hospital. After the severity adjustment, the mortality rates for each hospital showed little difference according to the severity measure. The 5 severity measurement methods varied in their statistical performance. All had a higher c statistic and $R^2$ than the model containing only age and sex. There was a little difference in the relative hospital performance evaluation by the severity measure. Conclusion : These results suggest that judgments regarding a hospital's performance based on severity adjusted mortality can be sensitive to the severity measurement method. Although the 5 severity measures regarding hospital performance concurred, more often than would be expected by chance, the assessment of an individual hospital mortality rates varied by the different severity measurement method used.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.9
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• pp.4501-4504
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• 2012

In recent decades, decreasing trends in esophageal cancer mortality have been observed across China. We here describe esophageal cancer mortality trends in Linzhou city, a high-incidence region of esophageal cancer in China, during 1988-2010 and make a esophageal cancer mortality projection in the period 2011-2020 using a Bayesian approach. Age standardized mortality rates were estimated by direct standardization to the World population structure in 1985. A Bayesian age-period-cohort (BAPC) analysis was carried out in order to investigate the effect of the age, period and birth cohort on esophageal cancer mortality in Linzhou during 1988-2010 and to estimate future trends for the period 2011-2020. Age-adjusted rates for men and women decreased from 1988 to 2005 and changed little thereafter. Risk increased from 30 years of age until the very elderly. Period effects showed little variation in risk throughout 1988-2010. In contrast, a cohort effect showed risk decreased greatly in later cohorts. Forecasting, based on BAPC modeling, resulted in a increasing burden of mortality and a decreasing age standardized mortality rate of esophageal cancer in Linzhou city. The decrease of esophageal cancer mortality risk since the 1930 cohort could be attributable to the improvements of socialeconomic environment and lifestyle. The standardized mortality rates of esophageal cancer should decrease continually. The effect of aging on the population could explain the increase in esophageal mortality projected for 2020.

• Quality Improvement in Health Care
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• v.10 no.2
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• pp.164-175
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• 2003

Objectives: To evaluate the performance of models to predict AMI patients death using severity adjustment measures in Korea. Methods: Medical records of 861 patients treated by AMI in 7 general hospitals during 1996 and 1997 were reviewed by trained nurses. We measured the severity of patients by APACHE III, MedisGroups, CSI and DS. Using each severity method a predictive mortality for each patient was calculated from a logistic regression model including the severity score. The statistical performance of each severity method model was evaluated by using c-statistics and R2. For each hospital, z scores compared actual and expected mortality rates. Results: The overall in-hospital mortality was 14.5%, ranged from 10.0% to 22.2%. The distributions of severity scores for each method was significantly different by hospitals. The four severity-adjusted models to predict AMI patients death varied in their statistical performance for discrimination power of patients death. Order of Severity-adjusted mortality rates and z scores by four severity measures was different. Conclusion: Severity-adjusted mortality rates of AMI patients might be applied as an indicator for hospital performance evaluation in Korea. Because different severity methods frequently produce different impressions about relative hospital performance, more studies has to be done to use it as quality indicator and more attention should be paid to select appropriate severity measures.

• Health Policy and Management
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• v.29 no.2
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• pp.237-244
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• 2019

Background: Weekend admission is known for having association with increased mortality attributed by poor quality of care and severe patients. We investigated the association between hospital admission on weekends and the in-hospital mortality rates of patients with cardiovascular disease. Furthermore, we examined this association stratified by admission via emergency room or not. Methods: We analyzed claim data provided by the Health Insurance Review & Assessment in 2013. In total, 80,817 cardiovascular patients were included in this study, which treated in-hospital mortality (early and during total length of stay) as a dependent variable. A generalized linear mixed effects model was used. We conducted subgroup analyses stratified by admission via emergency room or not. Results: Patients who admitted on weekend showed higher in-hospital mortality both early (odds ratio [OR], 1.48; 95% confidence interval [CI], 1.23-1.78) and during total length of stay (OR, 1.17; 95% CI, 1.02-1.33) compared to those admitted on weekdays. Patients who were admitted to the hospital on a weekend by emergency room were more likely to experience early in-hospital mortality compared to those admitted on weekdays. Furthermore, we found that patients not admitted to the hospital through the emergency department were more likely to experience both early and total length of stay in-hospital mortality. Conclusion: Our study shows higher in-hospital mortality rates for cardiovascular patients admitted on weekends. Efforts to improve the quality of care on weekend are important to mitigate the 'weekend effect' and improve patient outcomes.