Inconsistent results regarding the risk of relapse and better subjective outcomes of previous antipsychotic dose reduction trials in patients with remitted psychosis have not been verified using therapeutic drug monitoring (TDM). This study examined plasma drug concentrations of a dose-tapering trial which exhibited the potential of successful maintenance under lower antipsychotic dosages.

A 2-year open-label randomized prospective trial recruited remitted patients to undergo guided antipsychotic tapering. Blood samples were collected at baseline, annually, and after each dose reduction. Plasma aripiprazole/dehydroaripiprazole concentrations were determined using LC–MS/MS. The relationship between the dose and serum drug levels was examined using Spearman's correlation. Divided at 120 ng/mL, relapse rate, global function, quality of life, and psychopathology were compared between high- and low- drug level groups.

A total of 126 blood samples were collected, after excluding13 samples due of non-adherence. The correlation coefficients between dosage and drug level were 0.853 (aripiprazole) and 0.864 (dehydroaripiprazole), and the dose and concentration plots were parallel along the tapering trajectories, except patients with non-adherence. The concentration-to-dose ratio of aripiprazole in this cohort, 17.79 ± 7.23 ng/mL/mg, was higher than that in Caucasian populations. No significant differences were observed in the clinical outcomes between the high- and low-level groups. Remarkably, 12 of 15 patients maintained remission at plasma aripiprazole concentrations of <120 ng/mL.

The lower-than-expected doses reached in our antipsychotic tapering trial were substantiated to provide adequate prophylactic effects by TDM results in a subset of patients treated with aripiprazole, even considering the differences in pharmacogenomics between ethnicities.

An “escape room” is a game requiring teamwork and problem-solving during which a series of puzzles are solved to escape a locked room. Various escape room activities have been designed for healthcare professionals, including internal medicine residents and nursing students (Anderson et al. Simulation & Gaming 2021; 52(1) 7-17; Rodríguez-Ferrer et al. BMC Med Educ 2022; 22:901; Khanna et al. Cureus 2021; 13 (9) e18314). Escape rooms provide an opportunity for social activity, an important component of resident wellness (Mari et al. BMC Med Educ 2019; 19(1):437). This abstract describes an escape room challenge designed and implemented at our psychiatry residency program quarterly wellness afternoon event, which is an afternoon session dedicated to resident wellness.

The objective of this project was to design and implement an escape room challenge containing multiple game mechanics, including hidden roles, information asymmetry, acting, logical deduction, and spying. This activity was conducted to enhance bonding among residents while reinforcing knowledge in psychiatry.

We designed and implemented an escape room for 22 residents. Residents were divided into four teams each tasked with completing a sequence of puzzles to open the final lockbox. Two novel mechanics were added to the activity. Each team had a “clue holder” with clues to help solve all the puzzles. This team member had to conceal their identity because, if any of the other teams identified this person, the original winning team would have to give up the prize to the team that guessed the identity of this person. One member of each team was assigned a “spy” role whose mission was to make it hard for the clue holder to reveal all the clues. An anonymous post-activity survey was completed using Google Forms.

The script was set in a fictional, abandoned psychiatric emergency room. The first task was a visual puzzle of a historic figure in psychiatry. The second activity involved residents guessing the psychotropic medication being acted out by another resident in the style of charades. The third activity required residents to apply developmental milestones to decode a combination lock. The fourth puzzle involved residents solving riddles by using information gathered from resident profiles on the residency program website.

Eleven (50%) residents completed the post-game survey. All residents answered true or very true that they enjoyed the game and that participation helped them better connect with their peers. Eight (73%) residents answered true or very true that they learned something from the activity.

An adapted escape room challenge is a novel wellness activity that enhance resident collegiality, teamwork, and bonding. All residents who completed the post-activity survey indicated that they enjoyed the activity and felt more connected to their peers afterwards.

None Declared

Real-time reverse-transcriptase polymerase chain reaction (RT-PCR) has been the gold standard for diagnosing coronavirus disease 2019 (COVID-19) but has a lag time for the results. An effective prediction algorithm for infectious COVID-19, utilized at the emergency department (ED), may reduce the risk of healthcare-associated COVID-19.

To develop a prototypic prediction model for infectious COVID-19 at the time of presentation to the ED.

Retrospective cohort study of all adult patients admitted to Singapore General Hospital (SGH) through ED between March 15, 2020, and December 31, 2022, with admission of COVID-19 RT-PCR results. Two prediction models were developed and evaluated using area under the curve (AUC) of receiver operating characteristics (ROC) to identify infectious COVID-19 patients (cycle threshold (Ct) of <25).

Total of 78,687 patients were admitted to SGH through ED during study period. 6,132 of them tested severe acute respiratory coronavirus 2 positive on RT-PCR. Nearly 70% (4,226 of 6,132) of the patients had infectious COVID-19 (Ct<25). Model that included demographics, clinical history, symptom and laboratory variables had AUROC of 0.85 with sensitivity and specificity of 80.0% & 72.1% respectively. When antigen rapid test results at ED were available and added to the model for a subset of the study population, AUROC reached 0.97 with sensitivity and specificity of 95.0% and 92.8% respectively. Both models maintained respective sensitivity and specificity results when applied to validation data.

Clinical predictive models based on available information at ED can be utilized for identification of infectious COVID-19 patients and may enhance infection prevention efforts.

Population-wide restrictions during the COVID-19 pandemic may create barriers to mental health diagnosis. This study aims to examine changes in the number of incident cases and the incidence rates of mental health diagnoses during the COVID-19 pandemic.

By using electronic health records from France, Germany, Italy, South Korea and the UK and claims data from the US, this study conducted interrupted time-series analyses to compare the monthly incident cases and the incidence of depressive disorders, anxiety disorders, alcohol misuse or dependence, substance misuse or dependence, bipolar disorders, personality disorders and psychoses diagnoses before (January 2017 to February 2020) and after (April 2020 to the latest available date of each database [up to November 2021]) the introduction of COVID-related restrictions.

A total of 629,712,954 individuals were enrolled across nine databases. Following the introduction of restrictions, an immediate decline was observed in the number of incident cases of all mental health diagnoses in the US (rate ratios (RRs) ranged from 0.005 to 0.677) and in the incidence of all conditions in France, Germany, Italy and the US (RRs ranged from 0.002 to 0.422). In the UK, significant reductions were only observed in common mental illnesses. The number of incident cases and the incidence began to return to or exceed pre-pandemic levels in most countries from mid-2020 through 2021.

Healthcare providers should be prepared to deliver service adaptations to mitigate burdens directly or indirectly caused by delays in the diagnosis and treatment of mental health conditions.

White matter hyperintensity (WMH) burden is greater, has a frontal-temporal distribution, and is associated with proxies of exposure to repetitive head impacts (RHI) in former American football players. These findings suggest that in the context of RHI, WMH might have unique etiologies that extend beyond those of vascular risk factors and normal aging processes. The objective of this study was to evaluate the correlates of WMH in former elite American football players. We examined markers of amyloid, tau, neurodegeneration, inflammation, axonal injury, and vascular health and their relationships to WMH. A group of age-matched asymptomatic men without a history of RHI was included to determine the specificity of the relationships observed in the former football players.

240 male participants aged 45-74 (60 unexposed asymptomatic men, 60 male former college football players, 120 male former professional football players) underwent semi-structured clinical interviews, magnetic resonance imaging (structural T1, T2 FLAIR, and diffusion tensor imaging), and lumbar puncture to collect cerebrospinal fluid (CSF) biomarkers as part of the DIAGNOSE CTE Research Project. Total WMH lesion volumes (TLV) were estimated using the Lesion Prediction Algorithm from the Lesion Segmentation Toolbox. Structural equation modeling, using Full-Information Maximum Likelihood (FIML) to account for missing values, examined the associations between log-TLV and the following variables: total cortical thickness, whole-brain average fractional anisotropy (FA), CSF amyloid ß42, CSF p-tau181, CSF sTREM2 (a marker of microglial activation), CSF neurofilament light (NfL), and the modified Framingham stroke risk profile (rFSRP). Covariates included age, race, education, APOE z4 carrier status, and evaluation site. Bootstrapped 95% confidence intervals assessed statistical significance. Models were performed separately for football players (college and professional players pooled; n=180) and the unexposed men (n=60). Due to differences in sample size, estimates were compared and were considered different if the percent change in the estimates exceeded 10%.

In the former football players (mean age=57.2, 34% Black, 29% APOE e4 carrier), reduced cortical thickness (B=-0.25, 95% CI [0.45, -0.08]), lower average FA (B=-0.27, 95% CI [-0.41, -.12]), higher p-tau181 (B=0.17, 95% CI [0.02, 0.43]), and higher rFSRP score (B=0.27, 95% CI [0.08, 0.42]) were associated with greater log-TLV. Compared to the unexposed men, substantial differences in estimates were observed for rFSRP (Bcontrol=0.02, Bfootball=0.27, 994% difference), average FA (Bcontrol=-0.03, Bfootball=-0.27, 802% difference), and p-tau181 (Bcontrol=-0.31, Bfootball=0.17, -155% difference). In the former football players, rFSRP showed a stronger positive association and average FA showed a stronger negative association with WMH compared to unexposed men. The effect of WMH on cortical thickness was similar between the two groups (Bcontrol=-0.27, Bfootball=-0.25, 7% difference).

These results suggest that the risk factor and biological correlates of WMH differ between former American football players and asymptomatic individuals unexposed to RHI. In addition to vascular risk factors, white matter integrity on DTI showed a stronger relationship with WMH burden in the former football players. FLAIR WMH serves as a promising measure to further investigate the late multifactorial pathologies of RHI.

Patients with remitted psychosis wish to reduce antipsychotic doses yet facing increased risks of relapse. Examining dose-tapering processes may provide insights to re-evaluate the risk-to-benefit balance. We aimed to depict and subgroup tapering trajectories, and explore factors associated with different dose-reduction patterns.

A 2-year open-label randomized prospective comparative trial from August 2017 to September 2022 in Taiwan. Patients with a history of schizophrenia-related psychotic disorders under stable medications and symptoms were eligible, randomizing a proportion to conduct guided dose reduction. We depicted the trajectories of individual patients and named subgroups based on dose-tapering patterns. Predictors of baseline characteristics for designated subgroups were examined by logistic regression analysis; changes in outcomes were compared by paired t-test.

Fifty-one patients undergoing guided dose reduction, 18 (35.3%) reduced 4 steps consecutively (sequential reducers, SR), 14 (27.5%) reduced 1 to 3 steps (modest reducers, MR), 3 (5.9%) re-escalated to previous level (alert reducers, AR), 7 (13.7%) returned to baseline level (baseline returners, BR), 6 (11.7%) relapsed (failed reducers, FR) and 3 (5.9%) withdrew without relapse (early exits, EE). Patients with a history of relapse assumed a conservative dose-tapering pace; only the SR subgroup exhibited significant improvements in functioning and quality of life while failing to identify variables for predicting who would become SR or FR.

Guided dose reduction comprises dynamic processes with differences between individual trajectories. The proposed naming of dose-tapering patterns/subgroups provides a framework depicting patients undergoing dose-tapering. Longer-term observation and more flexible tapering approaches are anticipated to reveal favorable outcomes.

Sexual and gender minority (SGM) college students endorsed higher psychological distress and worsened mental health outcomes than their cisgender heterosexual peers. Such disparity is exacerbated during the COVID-19 pandemic, during which SGM youth may be sent home to unaccepting environments or presented with fewer healthcare options. The “Black lives matter (BLM)” and “Anti-Asian Hate” also exposed college students disproportionally to more witnessed discrimination and poorer social cohesion, which in turn, might negatively affect the mental health outcomes.

The present study aims to explore the mental health outcome profile within SGM college students by (1) identify mental health disparities across different sexual and gender identities and (2) evaluating the impacts of discrimination, social cohesion and other factors on mental health outcomes of college students with different sexual and gender identities.

The study utilizes the 2020-2021 Healthy Minds Study data with 139,470 college students across 60 U.S. campuses. Multivariable regression models are built with minority status to predict mental health outcome (depression, anxiety, and suicidal ideation).

SGM students reported higher symptoms of depression, anxiety, and suicidal ideation. Besides, SGM individuals having experienced or witnessed discrimination or hostile behaviors due to their race/ethnicity also showed worse mental health outcomes. Noted, perceived stronger social cohesion is a protective factor for lower depression (OR: 0.59; 95%CI: 0.45, 0.78) and anxiety (OR: 0.69; 95%CI: 0.51, 0.93) symptoms in SGM, while perceived weaker social cohesion is a risk factor for depression (OR: 1.37; 95%CI: 1.14, 1.64) and anxiety symptoms (OR:1.32; 95%CI:1.09-1.59) in cisgender heterosexual individuals.

These findings acknowledge the negative impact of discrimination on mental health, highlight the importance of recognizing social cohesion affect differently in SGM and their peers, and enhance the understanding of differential impact of social cohesion to inform public policy and early intervention in vulnerable populations during COVID-19 pandemic.

None Declared

According to CEOWORLD Magazine‘s 2019 “Health Care Indicators” rating of 89 countries in the world, Taiwan ranks first in the world. The coverage of the National Health Insurance covers all necessary medical treatment, including outpatient, hospitalization, and prescription drugs etc. The psychiatrist was wondering which item with the highest service cost–performance (CP) ratio of the psychiatrist performance in a general hospital and used proportion of PPF as performance indicator. He used allocation to distribute the hours across job activities.

The purpose of this study is to investigate items allocation proportion for outpatient and inpatient ward in a specific month, examining the distribution of performance and figure out an appropriate model to optimal medical service.

Demographic data were collected through PPF projects included 15 outpatient items and 19 inpatient ward items from the third-month of the psychiatrist’s employment in the general hospital, as shown in Table 1. Items related to physiological examination has been excluded. The performance is calculated by combining outpatient and inpatient wards.

Demographic data analysis found that proportion of inpatient ward PPF (67.01%) was significantly greater than proportion of outpatient PPF (32.99%) (Figure 1). The inpatient ward performance was 2 times the outpatient performance. This result showed that most performance came from inpatient ward. Among all items of the proportion of PPF unit, the highest two for inpatient ward items were general hospital bed inpatient consultation (32.58%) and special treatment for psychiatric inpatients (14.35%), and for outpatient, the highest was psychiatric outpatient consultation - more than two (11.31%) (Table 1).

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National Health Insurance is an important system to assist in epidemic prevention during the COVID-19 period. The most PPF of psychiatrist service in a general hospital came from the service of inpatient ward items, including the general hospital bed inpatient consultation with the highest CP ratio. These findings may suggest that the inpatient service could offer psychiatrists fair PPF, and the hospital environment could be favorable for recruitment.

None Declared

Despite emerging evidence suggesting the efficacy of psilocybin in the treatment of mood disorders such as depression, the exact mechanisms by which psilocybin is able to elicit these antidepressant effects remains unknown.

As the use of psilocybin as a treatment modality for depression has garnered increasing interest, this study aims to summarize the existing evidence of the mechanism of action with which psilocybin alleviates depressive symptoms, focusing specifically on the neurobiological effects of psilocybin in human subjects.

Four databases (Ovid MEDLINE, EMBASE, psychINFO, and Web of Science) were searched using a combination of MeSH terms and free text keywords in September 2021. The original search included both human and animal studies and must have included testing of the mechanism of action of psilocybin. Only antidepressant effects were considered, with no other mood disorders or psychiatric diagnoses included. Two independent researchers screened at every stage of the review, with a third researcher resolving any conflicts. Though a full systematic review outlining the current literature on the complete mechanisms of action of psilocybin on depression was conducted, this abstract will focus specifically on the nine papers that included human subjects, disregarding the five animal models. PROSPERO registration number: 282710.

After removing duplicates, the search identified 2193 papers and forty-nine were selected for full text review. Out of nine papers outlining the mechanisms of action of psilocybin use in human subjects, three papers investigated psilocybin’s effect on serotonin or glutamate receptor activity, two found an increase in synaptogenesis in regions such as the medial frontal cortex and hippocampus. Four found variation in blood flow to the amygdala, two found altered blood flow to the prefrontal cortex, and one found a reduction in delta power during sleep. Four papers found changes in functional connectivity or neurotransmission, most commonly in the hippocampus or prefrontal cortex.

Overall, the exact mechanism of psilocybin’s potential antidepressant effect remains unclear. Multiple pathways may be involved, including alterations in serotonin and glutamate receptor activity, as well as shifts in amygdala activity, neurogenesis, and functional connectivity in various brain regions. The relative lack of studies, and the variety of neurobiological modalities and endpoints used challenged the consolidation of data into consensus findings. Further studies are needed to better characterize psilocybin’s mechanism of action and to better understand the clinical effects of the use of psilocybin in the treatment of depression.

None Declared

Bipolar disorder (BD) is a severe psychotic disease repeats depression, hypomania or mania. Using mobile applications to record emotions can help BD patients to self-manage and reduce emotional symptoms. Gamification applied in health-manage applications can improve the using frequency and satisfaction. Nurturing and horticultural therapy could increase the using frequency and alleviate the depression and anxiety.

This study chose plants-nurturing to add to a self-management application, and explored the users’ experiences.

A one-group pretest-posttest design with qualitative interview was used. Analysis included the frequency of usage, emotional changes, and users’ feedback of the plants-nurturing in the first three months and after three months.。

A total of 26 participants were included. In the frequency of usage, the times and ratio of days were increased but no significant difference. The emotional symptoms were no significant difference. Positive experiences were novelty and interesting, while negative experiences were the slow rate of growth.Table 1.Demographics (N=26)

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There was a preliminary increase when adding plants-nurturing to the self-manage application, whereas the effect should be examined by further research. The more delicate elements of gamification could be included in self-manage application, considered the users’ other sensory perception in the future. Meanwhile, to improve the frequency of usage and self-management in BD patients, the subjective experiences should be explored in-depth.

None Declared

Most of the research explored the attrition rate and predictive factors for the smartphone application of emotion monitoring in bipolar disorder patients. However, there is less focus on the efficacy of maintaining the retention rate if the incentive system is employed.

The aim of our research is to evaluate the efficacy of two different kinds of incentive systems on improving frequency of using the Smartphone Mood Relapse Warning application (MRW-APP) (Su et al., 2021) in bipolar patients.

A one-group pretest-posttest pilot study was conducted. Participants with bipolar disorder (n = 63) recorded their moods and symptoms through MRW-APP for 29 weeks with the attrition rate of 44%. Two different kinds of incentive systems, reward and lottery, were implemented. To know whether incentive implementation could play a role in motivating the participants to better adhere to the app, we used Friedman’s test and paired sample t-test to analyze the participants’ app-using frequency in the corresponding weeks.

There was no significant difference in the participants’ app-using frequency (p>.05) before and after we implemented the first incentive system, reward (n=63). For the second incentive system, lottery (n=41), a significant difference in app-using frequency was still not observed (p>.05) after the intervention. But, for those who both had experienced two kinds of incentive systems (n=35), there were significant changes in their app-using frequency (p<.05).Table 1.Demographics (n=63)

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This research found the two incentive systems, award and lottery, may help increase the using frequency of the smartphone monitoring app for participants with bipolar disorder. The results from our study can be a reference for mood monitoring apps development in the future, and it also suggested that incentive system has its potential on encouraging patients’ adherence to e-healthcare.

None Declared

In Taiwan, National Health Insurance has been implemented for 27 years and continues to receive international recognition. People pay part of the quota at the time of medical treatment, and the rest of the medical expenses will be paid by the national health insurance. In this study, the researcher, a psychiatrist in the general hospital, investigated the correlation between service and revenue. He has started to work in this hospital since November 1st, 2021, without any other psychiatrist peers.

This study used proportion of PPF as performance indicator and aimed to observe the changes of PPF unit from November 1st, 2021, to January 31st, 2022, examining the trend of PPF growth. The purpose is to figure out an appropriate model to optimize medical services and performance outcomes.

Demographic data were collected through PPF projects, consisting of 17 inpatient ward items and 14 outpatient items from November 1st, 2021, to January 31st, 2022, and items with no performance or related to physiological examination has been excluded. In addition, items with a ratio of greater than 1.5% are presented in the bar graphs, as shown in Figure 2 and 3. The performance proportion of inpatient ward and outpatient were calculated separately.

Demographic data found PPF rises significantly over time (Figure 1). The 2nd month PPF unit (27.09%) was 2.5 times the 1st month PPF unit (10.70%), and the 3rd month PPF unit (62.21%) was 2.2 times the 2nd month PPF unit (27.085%). The highest proportion of PPF items were general hospital bed inpatient consultation fee for inpatient ward item (Figure 2) and psychiatric outpatient consultation fee for outpatient item (Figure 3). Furthermore, only the proportion of psychiatric outpatient consultation – more than two consecutive transfers increased continuously and the proportion of psychiatric outpatient consultation – adjusted by the hospital decreased, the other items has not changed significantly.

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In the first three months of the psychiatrist employment, the performance showed an increasing trend. These findings may suggest that the psychiatrist could be competent in a general hospital with patients’ confidence. In addition, under an optimal model of PPF and medical service, psychiatrists would more like to work in the general hospital, to serve acute psychiatric patients in need.

None Declared

Patients with remitted psychosis face a dilemma between the wish to discontinue antipsychotics and the risk of relapse. We test if an operationalized guided-dose-reduction algorithm can help reach a lower effective dose without increased risks of relapse.

A 2-year open-label randomized prospective comparative cohort trial from Aug 2017 to Sep 2022. Patients with a history of schizophrenia-related psychotic disorders under stable medications and symptoms were eligible, randomized 2:1 into guided dose reduction group (GDR) v. maintenance treatment group (MT1), together with a group of naturalistic maintenance controls (MT2). We observed if the relapse rates would be different between 3 groups, to what extent the dose could be reduced, and if GDR patients could have improved functioning and quality of life.

A total of 96 patients, comprised 51, 24, and 21 patients in GDR, MT1, and MT2 groups, respectively. During follow-up, 14 patients (14.6%) relapsed, including 6, 4, and 4 from GDR, MT1, and MT2, statistically no difference between groups. In total, 74.5% of GDR patients could stay well under a lower dose, including 18 patients (35.3%) conducting 4 consecutive dose-tapering and staying well after reducing 58.5% of their baseline dose. The GDR group exhibited improved clinical outcomes and endorsed better quality of life.

GDR is a feasible approach as the majority of patients had a chance to taper antipsychotics to certain extents. Still, 25.5% of GDR patients could not successfully decrease any dose, including 11.8% experienced relapse, a risk comparable to their maintenance counterparts.