OBJECTIVE: This study investigated the associations of suicidal ideation (SI) evaluated within 2 weeks after an acute coronary syndrome (ACS) episode with functioning, disability, and quality of life (QOL) at a 1-year follow-up assessment. METHODS: This study recruited 1152 consecutive patients within 2 weeks of a confirmed ACS episode; 828 of these patients who were followed up 1 year later comprised the study sample. SI was determined at baseline using the “suicidal thoughts” item of the MontgomeryÅsberg Depression Rating Scale. At both examinations, social and occupational functioning were measured by the Social and Occupational Functioning Assessment Scale (SOFAS), disability was estimated by World Health Organization Disability Assessment Schedule-12 (WHODAS-12), and QOL was assessed using the World Health Organization Quality of Life-Abbreviated form (WHOQOL-BREF). Baseline covariates included sociodemographic data, depression characteristics, cardiovascular risk factors, and current cardiac status. RESULTS: SI at baseline was independently associated with less improved or decreased scores on the SOFAS, WHODAS-12, and WHOQOL-BREF over 1 year after adjusting for relevant covariates. CONCLUSION: SI within 2 weeks of an ACS episode predicted poorer functioning and QOL at a 1-year follow-up assessment. Thus, the simple evaluation of SI in patients with recently developed ACS could be helpful in screening for functioning and QOL during the chronic phase of this disease.
Acute Coronary Syndrome ; Depression ; Follow-Up Studies ; Humans ; Mass Screening ; Quality of Life ; Risk Factors ; Social Adjustment ; Suicidal Ideation ; World Health Organization

OBJECTIVE: A defense mechanism is an automatic psychological process necessary for successful adaptation. It reflects adaptive capacity. The purpose of this study is to explore the relationship between the adaptation ability of individuals who face mandatory military service and the pattern of defense mechanisms. METHODS: The subjects were 69 men (21.4±2.2 years) who expressed psychological difficulties in three military service situations. Control group was 36 men (24.0±1.4 years) who had successfully completed military service. We examined psychiatric history, the pattern of defense mechanisms, and depression and anxiety levels. Defense mechanisms were compared between two groups. RESULTS: The maladjusted group used immature defenses more frequently than the control group did. There were no differences in the defense patterns according to diagnosis. The control group used more identification and rationalization, classified as immature defenses. The temporarily maladjusted group used more somatization, regression, and avoidance. CONCLUSION: Using mature defense mechanisms helped young adults to adapt to a particular situation. The maturity of the defense is more valuable than the psychiatric diagnosis. Some immature defenses are also helpful to adapt. We cautiously assume that some defenses can be protective or risk factors in adapting to stressful situations by young adults.
Anxiety ; Defense Mechanisms ; Depression ; Diagnosis ; Humans ; Korea ; Male ; Mental Disorders ; Military Personnel ; Rationalization ; Risk Factors ; Social Adjustment ; Young Adult

BACKGROUND: Lower-limb varicose veins (VVs) are common and known to have a higher prevalence among people who work in occupations requiring prolonged standing. In the Republic of Korea, however, VV-related occupational factors have seldom been examined. This study was conducted to assess the prevalence of VVs among nurses, an occupational group considered to be at high risk of VVs, and determine the occupational risk factors of prolonged standing. METHODS: Between March and August 2014, a questionnaire survey coupled with Doppler ultrasonography was conducted on the nurses working at a university hospital. RESULTS: A total of 414 nurses participated in the survey and diagnostic testing. From the survey analysis and test results, the prevalence of VVs in nurses was estimated to be 16.18%. Significant factors for venous reflux were age [odds ratio (OR) = 1.06, 95% confidence interval (CI) = 1.03–1.10], pregnancy (OR = 2.15, 95% CI = 1.17–3.94), and delivery (OR = 2.02, 95% CI = 1.08–3.78). The statistical significance of these factors was verified after risk adjustment for sociodemographic factors (OR = 3.40, 95% CI = 1.27–9.09). CONCLUSION: Factors significantly associated with venous reflux were increasing age and prolonged working hours (≥ 4 hours) in a standing position (OR = 2.80, 95% CI = 1.08–7.25), even after risk adjustment for sociodemographic factors. This study is significant in that an objective diagnosis of VVs preceded the analysis of the risk factors for VV incidence, thus verifying objectively that VVs are associated with occupations requiring prolonged hours of working in a standing position.
Diagnosis ; Diagnostic Tests, Routine ; Humans ; Incidence ; Occupational Groups ; Occupations ; Posture ; Pregnancy ; Prevalence* ; Republic of Korea ; Risk Adjustment ; Risk Factors* ; Ultrasonography, Doppler ; Varicose Veins*

BACKGROUND: This study was conducted to evaluate the performance of the Hierarchical Condition Category (HCC) model, identify potentially high-cost patients, and examine the effects of adding prior utilization to the risk model using Korean claims data. METHODS: We incorporated 2 years of data from the National Health Insurance Services-National Sample Cohort. Five risk models were used to predict health expenditures: model 1 (age/sex groups), model 2 (the Center for Medicare and Medicaid Services-HCC with age/sex groups), model 3 (selected 54 HCCs with age/sex groups), model 4 (bed-days of care plus model 3), and model 5 (medication- days plus model 3). We evaluated model performance using R² at individual level, predictive positive value (PPV) of the top 5% of high-cost patients, and predictive ratio (PR) within subgroups. RESULTS: The suitability of the model, including prior use, bed-days, and medication-days, was better than other models. R² values were 8%, 39%, 37%, 43%, and 57% with model 1, 2, 3, 4, and 5, respectively. After being removed the extreme values, the corresponding R² values were slightly improved in all models. PPVs were 16.4%, 25.2%, 25.1%, 33.8%, and 53.8%. Total expenditure was underpredicted for the highest expenditure group and overpredicted for the four other groups. PR had a tendency to decrease from younger group to older group in both female and male. CONCLUSION: The risk adjustment models are important in plan payment, reimbursement, profiling, and research. Combined prior use and diagnostic data are more powerful to predict health costs and to identify high-cost patients.
Cohort Studies ; Delivery of Health Care* ; Female ; Health Care Costs* ; Health Expenditures ; Humans ; Male ; Medicaid ; Medicare ; National Health Programs ; Patient Acceptance of Health Care ; Risk Adjustment*

The hospital standardized mortality ratio (HSMR) is a widely used generic measure for assessing quality of hospital care in many countries. However, the validity of HSMR as a quality indicator is still controversial. We critically reviewed characteristics of HSMR and suggested how to use HSMR as a quality indicator in the Korean setting. The association between HSMR and other quality measures of hospital care is inconclusive. In addition current HSMR model has shortcomings in risk adjustment because of the lack of clinical data, accuracy of disease coding, coding variation among hospitals, end-of-life care issues, and so on. Therefore, HSMR should be used as an indicator for improvement, not for judgement such as public reporting and pay-for-performance. More efforts will be needed to tackle practical and methodological weaknesses of HSMR in the Korean setting.
Clinical Coding ; Korea* ; Mortality* ; Quality of Health Care ; Risk Adjustment

To compare mortality rate, the adjustment of case-mix variables is needed. The Pediatric Index of Mortality (PIM) 3 score is a widely used case-mix adjustment system of a pediatric intensive care unit (ICU), but there has been no validation study of it in Korea. We aim to validate the PIM3 in a Korean pediatric ICU, and extend the validation of the score from those aged 0–16 to 0–18 years, as patients aged 16–18 years are admitted to pediatric ICU in Korea. A retrospective cohort study of 1,710 patients was conducted in a tertiary pediatric ICU. To validate the score, the discriminatory power was assessed by calculating the area under the receiver-operating characteristic (ROC) curve, and calibration was evaluated by the Hosmer-Lemeshow goodness-of-fit (GOF) test. The observed mortality rate was 8.47%, and the predicted mortality rate was 6.57%. For patients aged < 18 years, the discrimination was acceptable (c-index = 0.76) and the calibration was good, with a χ² of 9.4 in the GOF test (P = 0.313). The observed mortality rate in the hemato-oncological subgroup was high (18.73%), as compared to the predicted mortality rate (7.13%), and the discrimination was unacceptable (c-index = 0.66). In conclusion, the PIM3 performed well in a Korean pediatric ICU. However, the application of the PIM3 to a hemato-oncological subgroup needs to be cautioned. Further studies on the performance of PIM3 in pediatric patients in adult ICUs and pediatric ICUs of primary and secondary hospitals are needed.
Adult ; Benchmarking ; Calibration ; Child ; Cohort Studies ; Critical Care* ; Discrimination (Psychology) ; Humans ; Intensive Care Units* ; Korea* ; Mortality* ; Retrospective Studies ; Risk Adjustment

BACKGROUND: The learning curve cumulative sum (LC-CUSUM) test is an innovative tool that allows quantitative monitoring of individual medical performance during the learning process by determining when a predefined acceptable level of performance is reached. This study used the LC-CUSUM test to monitor the learning process and failure rate of anesthesia residents training for specific subspecialty anesthesia procedures. METHODS: The study included 490 tracheal punctures (TP) for jet ventilation, 340 thoracic epidural analgesia (TEA) procedures, and 246 fiberoptic nasal intubations (FONI) performed by 18 residents during their single 6-month rotation. RESULTS: Overall, 27 (14–52), 19 (5–41), and 14 (6–33) TP, TEA, and FONI procedures were performed, respectively, by each resident. In total, 2 of 18 residents achieved an acceptable failure rate for TEA according to the literature and 4 of 18 achieved an acceptable failure rate for FONI, while none of the residents attained an acceptable rate for TP. CONCLUSIONS: A single 6-month rotation in a reference teaching center may not be sufficient to train residents to perform specific or sub-specialty procedures as required. A regional learning network may be useful. More patient-based data are necessary to conduct a risk adjustment analysis for such specific procedures.
Analgesia, Epidural ; Anesthesia ; Anesthesiology* ; Intubation ; Learning Curve* ; Learning* ; Punctures ; Risk Adjustment ; Tea ; Ventilation

BACKGROUND: The learning curve cumulative sum (LC-CUSUM) test is an innovative tool that allows quantitative monitoring of individual medical performance during the learning process by determining when a predefined acceptable level of performance is reached. This study used the LC-CUSUM test to monitor the learning process and failure rate of anesthesia residents training for specific subspecialty anesthesia procedures. METHODS: The study included 490 tracheal punctures (TP) for jet ventilation, 340 thoracic epidural analgesia (TEA) procedures, and 246 fiberoptic nasal intubations (FONI) performed by 18 residents during their single 6-month rotation. RESULTS: Overall, 27 (14–52), 19 (5–41), and 14 (6–33) TP, TEA, and FONI procedures were performed, respectively, by each resident. In total, 2 of 18 residents achieved an acceptable failure rate for TEA according to the literature and 4 of 18 achieved an acceptable failure rate for FONI, while none of the residents attained an acceptable rate for TP. CONCLUSIONS: A single 6-month rotation in a reference teaching center may not be sufficient to train residents to perform specific or sub-specialty procedures as required. A regional learning network may be useful. More patient-based data are necessary to conduct a risk adjustment analysis for such specific procedures.
Analgesia, Epidural ; Anesthesia ; Anesthesiology* ; Intubation ; Learning Curve* ; Learning* ; Punctures ; Risk Adjustment ; Tea ; Ventilation

BACKGROUND: The purpose of this study was to develop risk-adjustment models for acute stroke mortality that were based on data from Health Insurance Review and Assessment Service (HIRA) dataset and to evaluate the validity of these models for comparing hospital performance. METHODS: We identified prognostic factors of acute stroke mortality through literature review. On the basis of the avaliable data, the following factors was included in risk adjustment models: age, sex, stroke subtype, stroke severity, and comorbid conditions. Survey data in 2014 was used for development and 2012 dataset was analysed for validation. Prediction models of acute stroke mortality by stroke type were developed using logistic regression. Model performance was evaluated using C-statistics, R2 values, and Hosmer-Lemeshow goodness-of-fit statistics. RESULTS: We excluded some of the clinical factors such as mental status, vital sign, and lab finding from risk adjustment model because there is no avaliable data. The ischemic stroke model with age, sex, and stroke severity (categorical) showed good performance (C-statistic=0.881, Hosmer-Lemeshow test p=0.371). The hemorrhagic stroke model with age, sex, stroke subtype, and stroke severity (categorical) also showed good performance (C-statistic=0.867, Hosmer-Lemeshow test p=0.850). CONCLUSION: Among risk adjustment models we recommend the model including age, sex, stroke severity, and stroke subtype for HIRA assessment. However, this model may be inappropriate for comparing hospital performance due to several methodological weaknesses such as lack of clinical information, variations across hospitals in the coding of comorbidities, inability to discriminate between comorbidity and complication, missing of stroke severity, and small case number of hospitals. Therefore, further studies are needed to enhance the validity of the risk adjustment model of acute stroke mortality.
Clinical Coding ; Comorbidity ; Dataset ; Insurance, Health ; Logistic Models ; Mortality* ; Quality of Health Care ; Risk Adjustment ; Stroke* ; Vital Signs

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.
Adult ; Aged ; Colorectal Neoplasms/*mortality/surgery ; Databases, Factual ; Female ; Hospital Mortality ; Hospitals, Teaching ; Humans ; Logistic Models ; Male ; Middle Aged ; Models, Psychological ; *Models, Theoretical ; Neoplasm Staging ; Odds Ratio ; Quality of Health Care ; Risk Adjustment