As unfiltered health information overflows through social networking services, people’s health rights are being violated and unnecessary medical expenses are increasing. Citizens and patients participating in the group initiative Public Involvement in the National Evidence-based Healthcare Collaborating Agency (NECA), the sole health technology assessment (HTA) agency in South Korea, began monitoring information on health technology in social media from 2021 as a new way to identify HTA topics.

Citizens and patients in Public Involvement in NECA were provided with search keywords related to “common diseases on general public” and “diseases with high public interest”. They monitored social media platforms for one month and collected information about health technologies, such as medicines and treatments without scientific evidence on their safety and effectiveness. The target information included subjective information on health technologies based on personal experience; information with unclear sources; information that might cause excessive anxiety and fear; and information with a high risk of side effects. Information was collected from the internet and a checklist was given to the participants to evaluate the suitability of the information.

In the topic selection process, NECA, and the Korean Society of Science Journalists (KSIA) evaluated the priority of HTA topics developed from the collected information. HTA topics were evaluated using five criteria, including the possible harm the information might cause throughout society. As a result, the safety and effectiveness of saw palmetto in patients with prostatic hyperplasia and high-dose intravenous vitamin C in patients with cancer were selected. NECA conducted health technology reassessments on these topics and was able to successfully disseminate the reassessment results in collaboration with the KSIA.

Participation in the HTA process using social media lowered the barriers that laypersons experience with HTA and increased the possibility of bringing HTA topics closer to citizens’ lives. However, as there were difficulties in collecting meaningful information for developing a HTA topic, providing systematic training on health information monitoring remains a challenge.

This study aimed to identify the roles of community pharmacists (CPs) during the coronavirus disease 2019 (COVID-19) pandemic, the differences in their role performance compared with their perceived importance, and limiting factors.

A cross-sectional online survey of CPs was conducted. The CPs self-measured the importance and performance of each role during the pandemic using a 5-point Likert scale. A paired t-test was used to compare each role’s importance and performance scores. A logistic regression analysis of the roles with low performance scores, despite their level of importance, was conducted to determine the factors affecting performance. The limiting factors were also surveyed.

The 436 responses to the questionnaire were analyzed. The performance scores were significantly lower than the perceived importance scores for 15 of the 17 roles. The source and update frequency of COVID-19 information and participation in outreach pharmaceutical services were associated with low performance scores. Insufficient economic compensation, the lack of communication channels, and legal limitations were the limiting factors in performing the CPs’ roles.

The participation in outreach pharmaceutical services, economic compensation, and communication channel should be improved to motivate the CPs in performing their roles.

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.

Posttraumatic stress disorder is one of the most studied outcomes after a disaster. Posttraumatic stress symptoms (PTSS) are maladaptive and disabling and can severely impair affected individuals’ psychosocial functioning and quality of life. Consequently, the objective of this research is to investigate the prevalence of PTSS and physical illness among disaster victims.

We analyzed disaster victims’ survey data in South Korea 1 year after a natural disaster (n = 1659). Then, we performed multivariable comparisons of social and work adjustments between individuals with PTSS and individuals with physical illness to examine the association between PTSS and functional impairment.

Individuals with PTSS had a significant association with work and social maladjustments whether or not they had a physical illness; PTSS (+) physical illness (-) group (OR: 1.18, CI: 1.12–1.26, P < 0.001) and PTSS (+) physical illness (+) group (OR: 1.16, CI: 1.08–1.23, P < 0.001). Interestingly, this association was not significant in the group that exclusively presented physical illness.

Our results suggest that PTSS might be a critical factor in social maladjustment during the post-disaster period. Subsequently, an assessment of disaster victims’ PTSS would help ensure effective medical and governmental approaches to assist disaster victims.

The two key mechanisms affected by internet gaming disorder (IGD) are cognitive and reward processing. Despite their significance, little is known about neurophysiological features as determined using resting-state electroencephalography (EEG) source functional connectivity (FC).

We compared resting-state EEG source FC within the default mode network (DMN) and reward/salience network (RSN) between patients with IGD and healthy controls (HCs) to identify neurophysiological markers associated with cognitive and reward processing. A total of 158 young male adults (79 patients with IGD and 79 HCs) were included, and the source FC of the DMN and RSN in five spectral bands (delta, theta, alpha, beta, and gamma) were assessed.

Patients with IGD showed increased theta, alpha, and beta connectivity within the DMN between the orbitofrontal cortex and parietal regions compared with HCs. In terms of RSN, patients with IGD exhibited elevated alpha and beta connectivity between the anterior cingulate gyrus and temporal regions compared with HCs. Furthermore, patients with IGD showed negative correlations between the severity of IGD symptoms and/or weekly gaming time and theta and alpha connectivity within the DMN and theta, alpha, and beta connectivity within the RSN. However, the duration of IGD was not associated with EEG source FC.

Hyper-connectivities within the DMN and RSN may be considered potential state markers associated with symptom severity and gaming time in IGD.

Accurate prognostication is important for patients and their families to prepare for the end of life. Objective Prognostic Score (OPS) is an easy-to-use tool that does not require the clinicians’ prediction of survival (CPS), whereas Palliative Prognostic Score (PaP) needs CPS. Thus, inexperienced clinicians may hesitate to use PaP. We aimed to evaluate the accuracy of OPS compared with PaP in inpatients in palliative care units (PCUs) in three East Asian countries.

This study was a secondary analysis of a cross-cultural, multicenter cohort study. We enrolled inpatients with far-advanced cancer in PCUs in Japan, Korea, and Taiwan from 2017 to 2018. We calculated the area under the receiver operating characteristics (AUROC) curve to compare the accuracy of OPS and PaP.

A total of 1,628 inpatients in 33 PCUs in Japan and Korea were analyzed. OPS and PaP were calculated in 71.7% of the Japanese patients and 80.0% of the Korean patients. In Taiwan, PaP was calculated for 81.6% of the patients. The AUROC for 3-week survival was 0.74 for OPS in Japan, 0.68 for OPS in Korea, 0.80 for PaP in Japan, and 0.73 for PaP in Korea. The AUROC for 30-day survival was 0.70 for OPS in Japan, 0.71 for OPS in Korea, 0.79 for PaP in Japan, and 0.74 for PaP in Korea.

Both OPS and PaP showed good performance in Japan and Korea. Compared with PaP, OPS could be more useful for inexperienced physicians who hesitate to estimate CPS.

Network approach has been applied to a wide variety of psychiatric disorders. The aim of the present study was to identify network structures of remitters and non-remitters in patients with first-episode psychosis (FEP) at baseline and the 6-month follow-up.

Participants (n = 252) from the Korean Early Psychosis Study (KEPS) were enrolled. They were classified as remitters or non-remitters using Andreasen's criteria. We estimated network structure with 10 symptoms (three symptoms from the Positive and Negative Syndrome Scale, one depressive symptom, and six symptoms related to schema and rumination) as nodes using a Gaussian graphical model. Global and local network metrics were compared within and between the networks over time.

Global network metrics did not differ between the remitters and non-remitters at baseline or 6 months. However, the network structure and nodal strengths associated with positive-self and positive-others scores changed significantly in the remitters over time. Unique central symptoms for remitters and non-remitters were cognitive brooding and negative-self, respectively. The correlation stability coefficients for nodal strength were within the acceptable range.

Our findings indicate that network structure and some nodal strengths were more flexible in remitters. Negative-self could be an important target for therapeutic intervention.

We calculated the human resources required for an antimicrobial stewardship program (ASP) in Korean hospitals.

Multicenter retrospective study.

Eight Korean hospitals ranging in size from 295 to 1,337 beds.

The time required for performing ASP activities for all hospitalized patients under antibiotic therapy was estimated and converted into hours per week. The actual time spent on patient reviews of each ASP activity was measured with a small number of cases, then the total time was estimated by applying the determined times to a larger number of cases. Full-time equivalents (FTEs) were measured according to labor laws in Korea (52 hours per week).

In total, 225 cases were reviewed to measure time spent on patient reviews. The median time spent per patient review for ASP activities ranged from 10 to 16 minutes. The total time spent on the review for all hospitalized patients was estimated using the observed number of ASP activities for 1,534 patients who underwent antibiotic therapy on surveillance days. The most commonly observed ASP activity was ‘review of surgical prophylactic antibiotics’ (32.7%), followed by ‘appropriate antibiotics recommendations for patients with suspected infection without a proven site of infection but without causative pathogens’ (28.6%). The personnel requirement was calculated as 1.20 FTEs (interquartile range [IQR], 1.02–1.38) per 100 beds and 2.28 FTEs (IQR, 1.93–2.62) per 100 patients who underwent antibiotic therapy, respectively.

The estimated time required for human resources performing extensive ASP activities on all hospitalized patients undergoing antibiotic therapy in Korean hospitals was ~1.20 FTEs (IQR, 1.02–1.38) per 100 beds.

There is limited evidence on the interaction by alcohol dehydrogenase 2 (ADH1B) (rs1229984) and aldehyde dehydrogenase 2 (ALDH2) (rs671) regarding the associations of alcohol and a methyl diet (low folate and high alcohol intake) with cancer risk, partly because of rare polymorphisms in Western populations.

In a case–control study, we estimated the ORs and 95 % CIs to evaluate the associations of ADH1B and ALDH2 genotypes with colorectal cancer (CRC) and the joint association between methyl diets and ADH1B and ALDH2 polymorphisms with CRC risk using logistic regression models.

A hospital-based case–control study.

In total, 1001 CRC cases and 899 cancer-free controls admitted to two university hospitals.

We found that alcohol intake increased the risk of CRC; OR (95 % CI) was 2·02 (1·41, 2·87) for ≥60 g/d drinkers compared with non-drinkers (Ptrend < 0·001). The associations for two polymorphisms with CRC were not statistically significant. However, we found a potential interaction of ALDH2 with methyl diets and CRC. We observed a 9·08-fold (95 % CI 1·93, 42·60) higher risk of CRC for low-methyl diets compared with high-methyl diets among individuals with an A allele of ALDH2, but the association was not apparent among those with ALDH2 GG (Pinteraction = 0·02).

Our data support the evidence that gene–methyl diet interactions may be involved in CRC risk in East Asian populations, showing that a low-methyl diet increased the risk of CRC among individuals with an A allele of ALDH2.