Objective: This study evaluated the efficacy and effectiveness of a new patient handover system developed for better handover in a metropolitan emergency department (ED). Methods: A retrospective observational study was designed to evaluate the appropriateness and satisfaction level of the new ED handover system. The participants were pre-hospital emergency medical service (EMS) providers with patient transport experience before and after the pilot of the new handover system. Results: A questionnaire was completed by 37 pre-hospital EMS providers who transported patients to the emergency department. Based on the results, pre-hospital EMS providers felt an increased level of kindness from the ED healthcare professionals during patient handover (P<0.001), from 3.19±1.05 points before the introduction of the system to 3.97±0.96 points after its introduction, and the activeness of ED healthcare professionals also increased, from 3.35±1.03 to 4.14±0.86 points (P<0.001). The sufficiency of contents of patient handover information to explain a patient’s condition increased from 3.59±0.76 to 4.08±0.72 points (P<0.003). The score for overall satisfaction felt by the EMS providers during patient handover increased from 3.46±0.96 to 3.76±0.86 points, which was not statistically significant (P=0.020). Conclusion Our findings suggest that the introduction of a new patient handover system between EMS providers and the ED staff is effective for both pre-hospital EMS providers and ED staff.

Background/Aims: The aim of this study was to investigate long-term post-discontinuation outcomes in patients with rheumatoid arthritis (RA) who had been treated with tumor necrosis factor-α inhibitors (TNF-αi) which was then discontinued. Methods: Sixty Korean patients with RA who participated in a 5-year GO-BEFORE and GO-FORWARD extension trials were included in this retrospective study. Golimumab was deliberately discontinued after the extension study (baseline). Patients were then followed by their rheumatologists. We reviewed their medical records for 2 years (max 28 months) following golimumab discontinuation. Patients were divided into a maintained benefit (MB) group and a loss-of-benefit (LB) group based on treatment pattern after golimumab discontinuation. The LB group included patients whose conventional disease-modifying antirheumatic drug(s) were stepped-up or added/switched (SC) and those who restarted biologic therapy (RB). Results: The mean age of patients at baseline was 56.5 years and 55 (91.7%) were females. At the end of follow-up, 23 (38.3%) patients remained in the MB group. In the LB group, 75.7% and 24.3% were assigned into SC and RB subgroups, respectively. Fifty percent of patients lost MB after 23.3 months. Demographics and clinical variables at baseline were comparable between MB and LB groups except for age, C-reactive protein level, and corticosteroid use. Restarting biologic therapy was associated with swollen joint count (adjusted hazard ratio [HR], 1.90; 95% confidence interval [CI], 1.01 to 3.55) and disease duration (adjusted HR, 1.12; 95% CI, 1.02 to 1.23) at baseline. Conclusions Treatment strategies after discontinuing TNF-αi are needed to better maintain disease control and quality of life of patients with RA.

Objective: To investigate long-term and serial functional outcomes in ischemic stroke patients without diabetes with post-stroke hyperglycemia. Methods: The Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) is a large, multi-center, prospective cohort study of stroke patients admitted to participating hospitals in nine areas of Korea. From KOSCO, ischemic stroke patients without diabetes were recruited and divided into two groups: patients without diabetes without (n=779) and with post-stroke hyperglycemia (n=223). Post-stroke hyperglycemia was defined as a glucose level >8 mmol/L. Functional assessments were performed 7 days and 3, 6, and 12 months after stroke onset. Results: There were no significant differences in baseline characteristics between the groups, except in the age of onset and smoking. Analysis of the linear correlation between the initial National Institutes of Health Stroke Scale (NIHSS) score and glucose level showed no significant difference. Among our functional assessments, NIHSS, Fugl-Meyer Assessment (affected side), Functional Ambulatory Category, modified Rankin Scale, and Korean Mini-Mental State Examination (K-MMSE) showed statistically significant improvements in each group. All functional improvements except K-MMSE were significantly higher in patients without post-stroke hyperglycemia at 7 days and 3, 6, and 12 months. Conclusion The glucose level of ischemic stroke patients without diabetes had no significant correlation with the initial NIHSS score. The long-term effects of stress hyperglycemia showed worse functional outcomes in ischemic stroke patients without diabetes with post-stroke hyperglycemia.

The objective of this study was to investigate factors affecting the return home one year after a stroke. The subjects of this study consisted of patients who participated in a large-scale multi-objective cohort study of initial stage stroke patients who were admitted to 9 representative hospitals in Korea. We analyzed the distribution of the subjects who had experienced stroke a year earlier by distinguishing the group who returned home and the other group that was hospitalized in rehabilitation hospitals. Based on this distribution, we evaluated the demographic, environmental, clinical, and psychological factors that can affect the return home. Overall, there were 464 subjects in the ‘Return home’ group and 99 subjects in the ‘Rehabilitation hospitalization’ group. job status, inconvenient housing structures, residential types, diagnosis, Functional Ambulation Categories, modified Rankin Scale, Korea-Modified Barthel Index, Function Independence Measure, Fugl-Meyer Assessment, Korean version of Mini-Mental State Examination, Korean version of Frenchay Aphasia Screening Test, Psychosocial Well-being Index-Short Form, Geriatric Depression Scale-Short Form, EuroQol-five Dimensional showed a significant difference between the 2 groups one year after the stroke. The factors affecting the return home one year after a stroke include functional status, activities of daily living, cognition, depression, stress, quality of life, job status. It is expected that factors affecting the rehabilitation of patients with stroke can be considered as basic data for establishing rehabilitation goals and treatment plans.

The aim of this study is to investigate the changes in functional independence and their associated factors during the first 6 months to 1 year after stroke onset. This study is the interim results of the Korean Stroke Cohort for Functioning and Rehabilitation. A total of 1,011 participants were included and classified into 3 subgroups according to changes in the Korean version of Modified Barthel Index (K-MBI) scores that occurred between 6 months to 1 year after stroke onset: the improved group (IG), with scores that increased 5 points or more; the stationary group (SG), with the K-MBI score changes ranging from −4 to +4 points; and the declined group (DG), with the K-MBI scores that decreased 5 points or more. Ordinal logistic regression analyses were used to assess the factors influencing changes in the K-MBI score. Among 1,011 patient, 436 patients (43.1%), 398 patients (39.4%) and 117 patients (17.5%) were classified into the IG, SG, and DG, respectively. Obesity and Geriatric Depression Scale score were significant influencing factors for changes in the K-MBI scores. Obesity showed a positive influence on the K-MBI score, while depression showed a negative influence.

There are limited data on the impact of diabetes control on the risk of subclinical coronary atherosclerosis.

The objective of this study was to investigate factors affecting the return home one year after a stroke. The subjects of this study consisted of patients who participated in a large-scale multi-objective cohort study of initial stage stroke patients who were admitted to 9 representative hospitals in Korea. We analyzed the distribution of the subjects who had experienced stroke a year earlier by distinguishing the group who returned home and the other group that was hospitalized in rehabilitation hospitals. Based on this distribution, we evaluated the demographic, environmental, clinical, and psychological factors that can affect the return home. Overall, there were 464 subjects in the ‘Return home’ group and 99 subjects in the ‘Rehabilitation hospitalization’ group. job status, inconvenient housing structures, residential types, diagnosis, Functional Ambulation Categories, modified Rankin Scale, Korea-Modified Barthel Index, Function Independence Measure, Fugl-Meyer Assessment, Korean version of Mini-Mental State Examination, Korean version of Frenchay Aphasia Screening Test, Psychosocial Well-being Index-Short Form, Geriatric Depression Scale-Short Form, EuroQol-five Dimensional showed a significant difference between the 2 groups one year after the stroke. The factors affecting the return home one year after a stroke include functional status, activities of daily living, cognition, depression, stress, quality of life, job status. It is expected that factors affecting the rehabilitation of patients with stroke can be considered as basic data for establishing rehabilitation goals and treatment plans.
Activities of Daily Living ; Aphasia ; Cognition ; Cohort Studies ; Depression ; Diagnosis ; Housing ; Humans ; Korea ; Mass Screening ; Patient Discharge ; Psychology ; Quality of Life ; Rehabilitation ; Stroke ; Walking

The objective of this study was to investigate factors affecting the return home one year after a stroke. The subjects of this study consisted of patients who participated in a large-scale multi-objective cohort study of initial stage stroke patients who were admitted to 9 representative hospitals in Korea. We analyzed the distribution of the subjects who had experienced stroke a year earlier by distinguishing the group who returned home and the other group that was hospitalized in rehabilitation hospitals. Based on this distribution, we evaluated the demographic, environmental, clinical, and psychological factors that can affect the return home. Overall, there were 464 subjects in the ‘Return home’ group and 99 subjects in the ‘Rehabilitation hospitalization’ group. job status, inconvenient housing structures, residential types, diagnosis, Functional Ambulation Categories, modified Rankin Scale, Korea-Modified Barthel Index, Function Independence Measure, Fugl-Meyer Assessment, Korean version of Mini-Mental State Examination, Korean version of Frenchay Aphasia Screening Test, Psychosocial Well-being Index-Short Form, Geriatric Depression Scale-Short Form, EuroQol-five Dimensional showed a significant difference between the 2 groups one year after the stroke. The factors affecting the return home one year after a stroke include functional status, activities of daily living, cognition, depression, stress, quality of life, job status. It is expected that factors affecting the rehabilitation of patients with stroke can be considered as basic data for establishing rehabilitation goals and treatment plans.

The aim of this study is to investigate the changes in functional independence and their associated factors during the first 6 months to 1 year after stroke onset. This study is the interim results of the Korean Stroke Cohort for Functioning and Rehabilitation. A total of 1,011 participants were included and classified into 3 subgroups according to changes in the Korean version of Modified Barthel Index (K-MBI) scores that occurred between 6 months to 1 year after stroke onset: the improved group (IG), with scores that increased 5 points or more; the stationary group (SG), with the K-MBI score changes ranging from −4 to +4 points; and the declined group (DG), with the K-MBI scores that decreased 5 points or more. Ordinal logistic regression analyses were used to assess the factors influencing changes in the K-MBI score. Among 1,011 patient, 436 patients (43.1%), 398 patients (39.4%) and 117 patients (17.5%) were classified into the IG, SG, and DG, respectively. Obesity and Geriatric Depression Scale score were significant influencing factors for changes in the K-MBI scores. Obesity showed a positive influence on the K-MBI score, while depression showed a negative influence.