Although various clinical indicators of suicide have been recorded, the previous suicide attempt is meaningful as one of the most robust risk factors predicting subsequent suicide attempts but there are lacking in biomarkers for evaluating suicide attempts. This study aimed to analyze the correlation of changes in oxygenated hemoglobin concentration with lifetime suicide attempt during verbal fluency test.

A total of 60 patients with major depressive disorder (MDD) were enrolled. Demographic, clinical, physical, and psychological evaluations were conducted. We evaluated the suicidal behaviors through MINI suicidality item. We indicated verbal fluency test to examine prefrontal activation during the cognitive execution while fNIRS was observed.

54 of enrolled patient with MDD (23 those with a lifetime history of suicide attempt; 31 those without a lifetime history of suicide attempt) are eligible for the subject. The patients were 35.19% of those with a lifetime history of suicide attempt. The values of the changes in oxygenated hemoglobin involving the entire regions of prefrontal cortex were smaller in those with a lifetime history of suicide attempt. The biggest difference is in right VMPFC, the mean score of those with a lifetime history of suicide attempt and those without a lifetime history of suicide attempt were 0.095(SD, 1.032) and 0.610(SD, 1.038) although the statistically non-significance. We discovered that a small value of changes in oxygenated hemoglobin was related to lifetime suicide attempt through multivariable logistic regression analysis. After adjusting for age, sex, years of education, and HAMD, there was a significant difference in the right VMPFC [OR = 0.491(95% CI=0.235~0.916), p = 0.036].

Study result indicated that the values of the changes in oxygenated hemoglobin were smaller in who attempted suicide before during cognitive execution. The adjusted regression analysis was presented significant result in right VMPFC. Therefore, the changes in oxygenated hemoglobin measured by fNIRS can be applied as a biomarker for suicidal behavior such as lifetime suicide attempt.

Although, attempts to apply virtual reality (VR) in mental healthcare are rapidly increasing, it is still unclear whether VR relaxation can reduce stress more than conventional biofeedback.

Participants consisted of 83 healthy adult volunteers with high stress, which was defined as a score of 20 or more on the Perceived Stress Scale-10 (PSS-10). This study used an open, randomized, crossover design with baseline, stress, and relaxation phases. During the stress phase, participants experienced an intentionally generated shaking VR and serial-7 subtraction. For the relaxation phase, participants underwent a randomly assigned relaxation session on day 1 among VR relaxation and biofeedack, and the other type of relaxation session was applied on day 2. We compared the StateTrait Anxiety Inventory-X1 (STAI-X1), STAI-X2, the Numeric Rating Scale (NRS), and physiological parameters including heart rate variability (HRV) indexes in the stress and relaxation phases.

A total of 74 participants were included in the analyses. The median age of participants was 39 years, STAI-X1 was 47.27 (SD = 9.92), and NRS was 55.51 (SD = 24.48) at baseline. VR and biofeedback significantly decreased STAI-X1 and NRS from the stress phase to the relaxation phase, while the difference of effect between VR and biofeedback was not significant. However, there was a significant difference in electromyography, LF/HF ratio, LF total, and NN50 between VR relaxation and biofeedback

VR relaxation was effective in reducing subjectively reported stress in individuals with high stress.

Virtual Reality (VR)-based Biofeedback (BF), a relatively new intervention, is rapidly increasing for the treatment of mood disorders. However, research on whether VR-based BF is more effective than traditional BF is still lacking.

A total of 131 adults from the community enrolled in the study. Participants scored ≥10 on Patient Health Questionnaire-9 (PHQ-9) or ≥9 on Panic Disorder Severity Scale (PDSS) were randomly assigned to VR or BF group. Those who have not met the criteria of PHQ-9 and PDSS were classified as the control group. All participants visited three times across 3 months and received either VR-based or conventional BF intervention. The control group received the same treatment as the VR group. Also, on each visit, the participants completed Montgomery-Asberg Depression Rating Scale (MADRS), State-Trait Anxiety Inventory (STAI), and Visual Analogue Scale (VAS).

The analysis included 118 participants in total (VR: 40, BF: 38, Control: 40). There was no significant difference in demographic variables among the 3 groups. After the treatment, VR and BF groups exhibited significant decreases in MADRS, PHQ-9, STAI, and VAS compared to the baseline within each group (p<0.005). Importantly, compared to the BF group, the VR group showed a significantly greater decrease in STAI (p<0.05). Further analyses revealed that scores of MADRD, PHQ-9, STAI, and VAS also significantly decreased in highly stressed group compared to the control group.

Findings suggest that the application of VR-based BF was effective in reducing anxiety and depressive symptoms in highly stressed people. Compared to conventional BF, VR-based BF can be a cost-effective treatment option especially for relieving anxiety.

Mood disorders require consistent management of symptoms to prevent recurrences of mood episodes. Circadian rhythm (CR) disruption is a key symptom of mood disorders to be proactively managed to prevent mood episode recurrences. This study aims to predict impending mood episodes recurrences using digital phenotypes related to CR obtained from wearable devices and smartphones.

The study is a multicenter, nationwide, prospective, observational study with major depressive disorder, bipolar disorder I, and bipolar II disorder. A total of 495 patients were recruited from eight hospitals in South Korea. Patients were followed up for an average of 279.7 days (a total sample of 75 506 days) with wearable devices and smartphones and with clinical interviews conducted every 3 months. Algorithms predicting impending mood episodes were developed with machine learning. Algorithm-predicted mood episodes were then compared to those identified through face-to-face clinical interviews incorporating ecological momentary assessments of daily mood and energy.

Two hundred seventy mood episodes recurred in 135 subjects during the follow-up period. The prediction accuracies for impending major depressive episodes, manic episodes, and hypomanic episodes for the next 3 days were 90.1, 92.6, and 93.0%, with the area under the curve values of 0.937, 0.957, and 0.963, respectively.

We predicted the onset of mood episode recurrences exclusively using digital phenotypes. Specifically, phenotypes indicating CR misalignment contributed the most to the prediction of episodes recurrences. Our findings suggest that monitoring of CR using digital devices can be useful in preventing and treating mood disorders.

Recent hospital fire incidents in South Korea have heightened the importance of patient evacuation. Moving patients from an intensive care unit (ICU) or emergency department (ED) setting is a challenge due to the complexity of moving acutely unwell patients who are reliant on invasive monitoring and organ support. Despite the importance of patient evacuation, the readiness of ICU and ED for urgent evacuation has not been assessed.

To enhance the readiness and competencies of workers from ICU and ED in the evacuation of patients during a simulated tabletop fire exercise.

A tabletop simulation exercise was developed by the Center for Disaster Relief, Training, and Research referencing the fire evacuation manual developed by the hospital’s ICU and ED. The scenario consisted of evacuating patients horizontally and vertically from each department. The participants’ actions were assessed using a checklist. A debriefing was completed after the exercise to discuss the gaps observed. A post-survey questionnaire was used to evaluate the exercise and assess the perception changes of the participants. All pre-to-post differences within subjects were analyzed with paired t-tests.

A total of 22 and 29 people participated in the exercise from ICU and ED, respectively. Knowledge and confidence improved post-exercise for both ICU and ED scenarios (p<0.05). Course satisfaction was 7.9 and 8.7, respectively for ICU and ED exercise. Correct performance rates for ICU and ED were 59% and 58%, respectively. Common gaps noted for both ICU and ED were wearing protective masks, patient hand-over communication, and preparation for resources.

There need to be exercises to recognize system gaps in place for hospital fire evacuation preparedness. Tabletop simulation exercises are ideal tools for this purpose. Although this was a short 90-minute exercise, this increased familiarity with the evacuation plan, tested the plan, and allowed for identification of gaps.

South Korea experienced Middle East Respiratory Syndrome (MERS) outbreak in 2015. To mitigate the threat posed by MERS, the Ministry of Health and Center for Disease Control designated hospitals to be responsible for managing any suspected or confirmed infectious patient. These hospitals receive mandatory training in managing infectious patients, but many of the trainings lack practical skills practice and pandemic preparedness exercise.

To develop and evaluate a training course designed to train healthcare providers from designated hospitals to enhance their competencies in managing emerging infectious diseases and potential outbreaks.

A two-day course was developed by the Center for Disaster Relief, Training, and Research in collaboration with the Korea Health Promotion Institute using Kern’s 6-step approach. The course consisted of didactic lectures, technical skills training, tabletop simulation, and scenario-based simulation. Table-top simulation exercises consisted of cases involving a single infectious patient detected in the outpatient clinic and outbreak in the emergency department. Scenario-based simulation exercises involved managing a critically ill infectious patient in an isolated ward. A post-survey questionnaire was used to evaluate the course and assess the perception changes of the participants. All pre-to-post differences within subjects were analyzed with paired t-tests.

A total of 121 healthcare providers participated in three separate courses. The competencies for pandemic preparedness knowledge, skills, and attitude improved from pre- to post-course. The differences were all statistically significant (p<0.05). Overall course satisfaction in average for expectation, time, delivery method, and contents were 9.5, 9.2, 9.4, and 9.2, respectively.

There needs to be tests and exercises to recognize gaps of systems in place for pandemic preparedness. Simulation exercises are ideal tools for this purpose. Although this was only a two-day intensive course, this increased familiarity with workflows, tested the coordination of workflows between different disciplines and allowed the identification of gaps.

In order to improve research planning it is critical to understand how decision makers have used previous health technology assessment (HTA) results, and what expectations policy makers and health professionals have in HTA programs. In this study, we aimed to examine how HTA results have been used by decision makers, and explore complex relationships between the National Evidence-based Healthcare Collaborating Agency (NECA) and various decision-making bodies in Korea.

Three areas of healthcare decision in which NECA has been extensively involved were selected: prevention programs, single technology reimbursement, and clinical guidelines. We conducted in-depth interviews with two or three key informants from decision making bodies in each selected area. The interview participants included clinicians and government officials. We also conducted interviews with the researchers who participated in the related research to better capture the context. The interviews were analyzed using qualitative content analysis.

Eight interviews with decision makers and five interviews with researchers were conducted and analyzed. Three main themes were revealed in the data. Firstly, it was revealed that NECA was primarily expected to be an intermediary between clinicians and government. Both government and clinicians had referred to NECA's HTA results, which are expected to be scientific and impartial, when they need to reach one another on controversial topics. Secondly, there was a high need for deliberative process to resolve the conflicting interests regarding HTA results. Lastly, they wanted the HTA process to be more responsive to fast changing healthcare environments by introducing a form of rapid review.

Lack of effective communication channels between government and healthcare providers in Korea has made a room for HTA to be a common language for both sides. It is time to give up the ‘one-size-fits-all’ approach to conducting HTA research and tailor the research process to various needs of decision makers.

Since established in 2009, the National Evidence-based healthcare Collaborating Agency (NECA) has been the sole government-funded Health Technology Assessment (HTA) institution in Korea, yet little effort has been made to systematically evaluate the influence of its products. In this study, we aimed to measure the impact of the HTA products of NECA on clinical and policy decisions by introducing a systematic framework.

We included HTA reports published from 2009 to 2015. Among the 141 research reports published during this period, there were 67 HTA reports. We gathered data on the influence by literature and news article search, review of administrative documents and directly listening to the decision makers. The influence was categorized into three decision types: changes in clinical guidelines, administrative decision on investment/disinvestment and healthcare policy making. Whether a research report was used directly in decision making, or followed by subsequent researches or round-table conference, was recorded to examine the knowledge transfer process.

In total, 67.2 percent of the included HTA reports were used to support clinical and policy decisions. Twenty-seven reports had influenced administrative decisions on investment/disinvestment. Ten provided evidence for new health policies or legislation. Eight were reflected in clinical guidelines. The impact of HTA reports published by NECA was more evident when the research was directly requested by decision-making bodies such as government institutions. Although most HTA reports were conducted in collaboration with clinicians, the use of results by clinicians was limited. Definitive results were more likely to be used, but reports with competing interests had fewer impacts.

HTA by NECA had impacts on the rational use of healthcare resources in Korea, and NECA has established its role as an intermediary between governmental decision-making bodies and clinicians. However, more continuous approaches rather than one-time HTA research are needed for HTA on controversial topics to have impacts on decision making.

Cerebral white matter hyperintensities (WMH) are prevalent incident findings on brain MRI scans among elderly people and have been consistently implicated in cognitive dysfunction. However, differential roles of WMH by region in cognitive function are still unclear. The aim of this study was to ascertain the differential role of regional WMH in predicting progression from mild cognitive impairment (MCI) to different subtypes of dementia.

Participants were recruited from the Clinical Research Center for Dementia of South Korea (CREDOS) study. A total of 622 participants with MCI diagnoses at baseline and follow-up evaluations were included for the analysis. Initial MRI scans were rated for WMH on a visual rating scale developed for the CREDOS. Differential effects of regional WMH in predicting incident dementia were evaluated using the Cox proportional hazards model.

Of the 622 participants with MCI at baseline, 139 patients (22.3%) converted to all-cause dementia over a median of 14.3 (range 6.0–36.5) months. Severe periventricular WMH (PWMH) predicted incident all-cause dementia (Hazard ratio (HR) 2.22; 95% confidence interval (CI) 1.43–3.43) and Alzheimer's disease (AD) (HR 1.86; 95% CI 1.12–3.07). Subcortical vascular dementia (SVD) was predicted by both PWMH (HR 16.14; 95% CI 1.97–132.06) and DWMH (HR 8.77; 95% CI 1.77–43.49) in more severe form (≥ 10 mm).

WMH differentially predict dementia by region and severity. Our findings suggest that PWMH may play an independent role in the pathogenesis of dementia, especially in AD.