Effect of the Presence of Emergency Departments with 300 or More Hospital Beds in Health Service Areas on 30-Day Mortality in Korea: A Nationwide Retrospective Cross-sectional Study.

BACKGROUND: Disparities in emergency care accessibility exist between health service areas (HSAs). There is limited evidence on whether the presence of an emergency department (ED) that exceeds a certain hospital bed capacity is associated with emergency patient outcomes at the regional level. The objective of this study was to evaluate the effect of HSAs with or without of regional or local emergency centers with 300 or more hospital beds (EC300 or nEC300, respectively) by comparing the 30-day mortality of patients with severe emergency diseases (SEDs) admitted to the hospital through the ED. METHODS: The study retrospectively evaluated data from the Korean National Health Insurance Claims database and enrolled patients who were admitted from the ED for SEDs. SEDs were defined using ICD-10 codes for 28 disease categories with high severity, and 56 HSAs were designated as published by the Korean National Health Insurance Service. We performed hierarchical logistic regression analysis using multilevel models with the generalized linear mixed model (GLIMMIX) procedure to evaluate whether EC300 was associated with the 30-day mortality of SED patients, adjusting for patient-level, prehospital-level, hospital-level, and HSA-level variables. RESULTS: In total, 662,478 patients were analyzed, of whom 54,839 (8.3%) died within 30 days after hospital discharge. Of the 56 HSAs, 46 (82.1%) were included in the EC300 group. After adjustment for patient-level, prehospital-level, hospital-level and HSA-level variables, nEC300 was significantly associated with increased 30-day mortality in SED patients (AOR: 1.33, 95% CI: 1.137-1.153). In addition, patients who visited EDs with fewer annual SED admissions were associated with higher 30-day mortality. CONCLUSION: nEC300 had a greater risk of 30-day mortality in patients treated with SEDs than EC300. The results indicate that not only the number of EDs in each HSA is important for ensuring adequate patient outcomes but also the presence of EDs with adequate receiving capacity.

Weekend effect on 30-day mortality for ischemic and hemorrhagic stroke analyzed using severity index and staffing level.

BACKGROUND AND PURPOSE: Previous studies on the weekend effect-a phenomenon where stroke outcomes differ depending on whether the stroke occurred on a weekend-mostly targeted ischemic stroke and showed inconsistent results. Thus, we investigated the weekend effect on 30-day mortality in patients with ischemic or hemorrhagic stroke considering the confounding effect of stroke severity and staffing level. METHODS: We retrospectively analyzed data of patients hospitalized for ischemic or hemorrhagic stroke between January 1, 2015, and December 31, 2018, which were extracted from the claims database of the National Health Insurance System and the Medical Resource Report by the Health Insurance Review & Assessment Service. The primary outcome measure was 30-day all-cause mortality. RESULTS: In total, 278,632 patients were included, among whom 84,240 and 194,392 had a hemorrhagic and ischemic stroke, respectively, with 25.8% and 25.1% of patients, respectively, being hospitalized during the weekend. Patients admitted on weekends had significantly higher 30-day mortality rates (hemorrhagic stroke 16.84%>15.55%, p<0.0001; ischemic stroke 5.06%>4.92%, p<0.0001). However, in the multi-level logistic regression analysis adjusted for case-mix, pre-hospital, and hospital level factors, the weekend effect remained consistent in patients with hemorrhagic stroke (odds ratio [OR] 1.05, 95% confidence interval [CI] 1.00-1.10), while the association was no longer evident in patients with ischemic stroke (OR 1.01, 95% CI 0.96-1.06). CONCLUSIONS: Weekend admission for hemorrhagic stroke was significantly associated with a higher mortality rate after adjusting for confounding factors. Further studies are required to understand factors contributing to mortality during weekend admission.

COVID-19 Sequelae and Their Implications on Social Services.

BACKGROUND: The impact of persistent coronavirus disease 2019 (COVID-19) symptoms on quality of life remains unclear. This study aimed to describe such persistent symptoms and their relationships with quality of life, including clinical frailty and subjective health status. METHODS: A prospective longitudinal 3-month follow-up survey monitored symptoms, health quality, support needs, frailty, and employment. RESULTS: A total of 82 patients with a mean age of 52 years (ranging from 23-84 years) were enrolled, including 48 (58.6%) men, and 34 (41.5%) women. The fully active status decreased from 87.8% before admission to 78.1% post discharge. Two patients (2.4%) were ambulatory and capable of all self-care but unable to carry out any work-related activities 12 weeks after discharge. Clinical frailty scale (CFS) levels 1, 2, 3 and 4 changed drastically between admission and 12 weeks later after discharge. Just after admission, the median EuroQol visual analogue scales (EQ-VAS) was 82.23 (± 14.38), and it decreased to 78.10 (± 16.02) 12 weeks after discharge; 62 (75.6%) of patients reported at least one symptom 12 weeks after discharge. The most frequent symptom was fatigue followed by smell disorder, anxiety, sleep disorder, headache, depressive mood, dyspnea, and taste disorder. CFS was definitively associated with fatigue. Decreased EQ-VAS was associated with fatigue and palpitation, cough, taste disorder, and chest pain. EQ-VAS was worse in women (28%) than in men. Compared with regular outpatient clinic visits before admission, 21 patients (25.6%) reported increased outpatient clinic visits, one (1.4%) reported readmission, and one (1.4%) reported emergency room visits. Six of the 54 (77.1%) patients who were employed before admission lost their jobs. And most vulnerable type was self-employed, because three self-employed job workers were not working at 12 weeks after discharge. CONCLUSION: COVID-19 sequelae should not be underestimated. We find a decrease in health quality and increase in psychological problems in discharged COVID-19 patients, and some patients experience unemployment. The number of patients suffering from COVID-19 sequelae would not be negligible considering there are more than one million COVID-19 infection cases in Korea. Hence, the government should start a systematic monitoring system for discharged patients and prepare timely medical and social interventions accordingly.

Development and Roll-Out of A Coronavirus Disease 2019 Clinical Pathway for Standardized Qualified Care in Public Hospitals in Korea.

Despite the coronavirus disease 2019 (COVID-19) vaccination roll-out, variant-related outbreaks have occurred repeatedly in Korea. Although public hospitals played a major role in COVID-19 patients' care, difficulty incorporating evolving COVID-19 treatment guidelines called for a clinical pathway (CP). Eighteen public hospitals volunteered, and a professional review board was created. CPs were formulated containing inclusion/exclusion criteria, application flow charts, and standardized order sets. After CP roll-out, key parameters improved, such as increased patient/staff five-point satisfaction scores (0.41/0.57) and decreased hospital stays (1.78 days)/medical expenses (17.5%). The CPs were updated consistently after roll-out as new therapeutics drugs were introduced and quarantine policies changed.

Examining the Effectiveness of the Discharge Plan Model on the South Korean Patients with Cancer Completed Cancer Treatment and Are Returning to the Community: A Pilot Study.

This study aimed to examine the effectiveness of a discharge plan model for South Korean patients with cancer who had completed treatment and were returning to the community. Overall, 23 patients with cancer were recruited at the National Cancer Center in Goyang-si. The effectiveness of the discharge plan was examined using four methods: Social Needs Screening Toolkit (2018), early screening for discharge plan, current life situation v.2.0, and a questionnaire regarding problems after discharge from the hospital. Subsequently, the results were analyzed using descriptive statistical analysis methods with the Stata 14.0 program. The largest age group of study participants was between 45 and 64 years. No participants responded to urgent needs, whereas nine (39.13%) participants needed support for their social needs. According to the in-depth evaluation of participants, more than 80% of the respondents answered that patients with cancer needed no help in self-management, daily living activities, or mental health. The satisfaction survey results showed that the degree to which the "discharge plan" was helpful for health management at home after discharge was 4.41 of 5, and the degree to which it helped return to daily life was 3.86 of 5.

Travel time to emergency care not by geographic time, but by optimal time: A nationwide cross-sectional study for establishing optimal hospital access time to emergency medical care in South Korea.

Increase in travel time, beyond a critical point, to emergency care may lead to a residential disparity in the outcome of patients with acute conditions. However, few studies have evaluated the evidence of travel time benchmarks in view of the association between travel time and outcome. Thus, this study aimed to establish the optimal hospital access time (OHAT) for emergency care in South Korea. We used nationwide healthcare claims data collected by the National Health Insurance System database of South Korea. Claims data of 445,548 patients who had visited emergency centers between January 1, 2006 and December 31, 2014 were analyzed. Travel time, by vehicle from the residence of the patient, to the emergency center was calculated. Thirteen emergency care-sensitive conditions (ECSCs) were selected by a multidisciplinary expert panel. The 30-day mortality after discharge was set as the outcome measure of emergency care. A change-point analysis was performed to identify the threshold where the mortality of ECSCs changed significantly. The differences in risk-adjusted mortality between patients living outside of OHAT and those living inside OHAT were evaluated. Five ECSCs showed a significant threshold where the mortality changed according to their OHAT. These were intracranial injury, acute myocardial infarction, other acute ischemic heart disease, fracture of the femur, and sepsis. The calculated OHAT were 71-80 min, 31-40 min, 70-80 min, 41-50 min, and 61-70 min, respectively. Those who lived outside the OHAT had higher risks of death, even after adjustment (adjusted OR: 1.04-7.21; 95% CI: 1.03-26.34). In conclusion, the OHAT for emergency care with no significant increase in mortality is in the 31-80 min range. Optimal travel time to hospital should be established by optimal time for outcomes, and not by geographic time, to resolve the disparities in geographical accessibility to emergency care.

Effects of the Physician-Primary-Healthcare Nurse Telemedicine Model (P-NTM) on Medication Adherence and Health-Related Quality of Life (HRQoL) of Patients with Chronic Disease at Remote Rural Areas.

Chronic diseases are a major cause of death and have a negative impact on community health. This study explored the effects of a chronic-disease management program utilizing the physician-primary-healthcare nurse telemedicine model (P-NTM) on medication adherence and health-related quality of life (HRQoL) in 113 patients with chronic diseases in remote rural areas. We used a quasi-experimental, nonequivalent-control-group pretest-post-test design. This study used secondary data from the 2018 Pilot Telemedicine Project for Underserved Remote Rural Areas. In this study, 113 subjects participated, in which the patient's first visit was assigned as a control group for the previous face-to-face hospital care; after three months of receiving the P-NTM program, the same subjects were assigned to be the experiment group for P-NTM. Data were analyzed by using descriptive statistics, a paired t-test, and logistic regression. With regard to the results, subjects showed a 1.76 times higher probability of improving medication adherence after participating in P-NTM compared to hospital care (odds ratio (OR) = 1.76, 95% confidence interval (CI) = 1.34-2.31). Our findings showed that patients with chronic diseases, especially those who reside in remote rural areas, should be provided with effective health services, utilizing various strategies to enhance a healthy life.

How far is too far? A nationwide cross-sectional study for establishing optimal hospital access time for Korean pregnant women.

OBJECTIVES: Access to a delivery unit is a major factor in determining maternal morbidity and mortality. However, there is little information about the optimal access time to a delivery unit. This study aimed to establish the optimal hospital access time (OHAT) for pregnant women in South Korea. DESIGN: Nationwide cross-sectional study. SETTING: We used the National Health Insurance System database of South Korea. PARTICIPANTS: We analysed the data of 371 341 women who had experienced pregnancy in 2013. PRIMARY AND SECONDARY OUTCOME MEASURES: Access time to hospital was defined as the time required to travel from the patient's home to the delivery unit. The incidence of obstetric complications was plotted against the access time to hospital. Change-point analysis was performed to identify the OHAT by determining a point wherein the incidence of obstetric complications changed significantly. As a final step, the risk of obstetric complications was compared by type among pregnant women who lived within the OHAT against those who lived outside the OHAT. RESULTS: The OHAT associated with each adverse pregnancy outcomes were as follows: inadequate prenatal care, 41-50 min; preeclampsia, 51-60 min; placental abruption, 51-60 min; preterm delivery, 31-40 min; postpartum transfusion, 31-40 min; uterine artery embolisation, 31-40 min; admission to intensive care unit, 31-40 min; and caesarean hysterectomy, 31-40 min. Pregnant women who lived outside the OHAT had significantly higher risk for obstetric complications than those who lived within the OHAT. CONCLUSIONS: Our results showed that the OHAT for each obstetric complication ranged between 31 and 60 min. The Korean government should take the OHAT under consideration when establishing interventions for pregnant women who live outside OHAT to reduce maternal morbidity and mortality.

Accessibility of Prenatal Care Can Affect Inequitable Health Outcomes of Pregnant Women Living in Obstetric Care Underserved Areas: a Nationwide Population-Based Study.

BACKGROUND: As of 2011, among 250 administrative districts in Korea, 54 districts did not have obstetrics and gynecology clinics or hospitals providing prenatal care and delivery services. The Korean government designated 38 regions among 54 districts as "Obstetric Care Underserved Areas (OCUA)." However, little is known there are any differences in pregnancy, prenatal care, and outcomes of women dwelling in OCUA compared to women in other areas. The purposes of this study were to compare the pregnancy related indicators (PRIs) and adequacy of prenatal care between OCUA region and non-OCUA region. METHODS: Using National Health Insurance database in Korea from January 1, 2012 to December 31, 2014, we constructed the whole dataset of women who terminated pregnancy including delivery and abortion. We assessed incidence rate of 17 PRIs and adequacy of prenatal care. All indicators were compared between OCUA group and non-OCUA group. RESULTS: The women dwelling in OCUA regions were more likely to get abortion (4.6% in OCUA vs. 3.6% in non-OCUA) and receive inadequate prenatal care (7.2% vs. 4.4%). Regarding abortion rate, there were significant regional differences in abortion rate. The highest abortion rate was 10.3% and the lowest region was 1.2%. Among 38 OCUA regions, 29 regions' abortion rates were higher than the national average of abortion rate (3.56%) and there were 10 regions in which abortion rates were higher than 7.0%. In addition, some PRIs such as acute pyelonephritis and transfusion in obstetric hemorrhage were more worse in OCUA regions compared to non-OCUA regions. CONCLUSION: PRIs are different according to the regions where women are living. The Korean government should make an effort reducing these gaps of obstetric cares between OCUA and non-OCUA.