To characterize the treatment burden of generalized anxiety disorder (GAD) using real-world data on pharmacotherapy use, treatment changes, and treatment progression.

This retrospective analysis used closed claims from the Komodo Healthcare Map (2021–2024) to identify U.S. adults (≥18 years) with newly diagnosed or established GAD. Treatment patterns were assessed at the drug level.

Among the 259 158 newly diagnosed and 1 018 288 established GAD patients, GAD-related pharmacotherapy use during the 12 months post-index was 76% and 98%, respectively. Treatment patterns were further analyzed in 59 275 newly diagnosed and 86 920 established GAD patients with ≥1 pharmacy claim. Among newly diagnosed patients, 55% discontinued and 28% added or switched treatments; among established patients, 16% discontinued and 55% added or switched treatments. The median time to first treatment event varied by cohort and event type: discontinuation occurred at a median of 84 days in newly diagnosed and 119 days in established patients, combination therapy at 49 and 32 days, and switching at 31 and 42 days, respectively. Of those who discontinued, 57% of newly diagnosed and 26% of established GAD patients did not resume treatment; among those who restarted, the median treatment gap was 146 and 96 days, respectively. Overall, 75% of newly diagnosed and 94% of established GAD patients who underwent treatment modification experienced at least one additional therapy change during the study.

This study underscores the significant unmet needs in the current treatment of GAD, evidenced by high rates of pharmacotherapy switching, discontinuation, and prolonged gaps in care.

Non-suicidal self-injury (NSSI) is associated with mental disorders, yet work regarding the direction of this association is inconsistent. We examined the prevalence, comorbidity, time–order associations with mental disorders, and sex differences in sporadic and repetitive NSSI among emerging adults.

We used survey data from n = 72,288 first-year college students as part of the World Mental Health-International College Student Survey Initiative (WMH-ICS) to explore time–order associations between onset of NSSI and mental disorders, based on retrospective age-of-onset reports using discrete-time survival models. We distinguished between sporadic (1–5 lifetime episodes) and repetitive (≥6 lifetime episodes) NSSI in relation to DSM-5 mood, anxiety, and externalizing disorders.

We estimated a lifetime NSSI rate of 24.5%, with approximately half reporting sporadic NSSI and half repetitive NSSI. The time–order associations between onset of NSSI and mental disorders were bidirectional, but mental disorders were stronger predictors of the onset of NSSI (median RR = 1.94) than vice versa (median RR = 1.58). These associations were stronger among individuals engaging in repetitive rather than sporadic NSSI. While associations between NSSI and mental disorders generally did not differ by sex, repetitive NSSI was a stronger predictor for the onset of subsequent substance use disorders among females compared to males. Most mental disorders marginally increased the risk for persistent repetitive NSSI (median RR = 1.23).

Our findings offer unique insights into the temporal order between NSSI and mental disorders. Further work exploring the mechanism underlying these associations will pave the way for early identification and intervention of both NSSI and mental disorders.

A key step toward understanding psychiatric disorders that disproportionately impact female mental health is delineating the emergence of sex-specific patterns of brain organisation at the critical transition from childhood to adolescence. Prior work suggests that individual differences in the spatial organisation of functional brain networks across the cortex are associated with psychopathology and differ systematically by sex.

We aimed to evaluate the impact of sex on the spatial organisation of person-specific functional brain networks.

We leveraged person-specific atlases of functional brain networks, defined using non-negative matrix factorisation, in a sample of n = 6437 youths from the Adolescent Brain Cognitive Development Study. Across independent discovery and replication samples, we used generalised additive models to uncover associations between sex and the spatial layout (topography) of personalised functional networks (PFNs). We also trained support vector machines to classify participants’ sex from multivariate patterns of PFN topography.

Sex differences in PFN topography were greatest in association networks including the frontoparietal, ventral attention and default mode networks. Machine learning models trained on participants’ PFNs were able to classify participant sex with high accuracy.

Sex differences in PFN topography are robust, and replicate across large-scale samples of youth. These results suggest a potential contributor to the female-biased risk in depressive and anxiety disorders that emerge at the transition from childhood to adolescence.

Preparedness levels have been shown to improve the outcomes for people who find themselves in an emergency. However, uptake of preparedness behaviors by the public prior to a major disaster is limited. This 2-part study examined perceived preparedness in the UK during the first months of the COVID-19 pandemic (Study 1), and 2 years later (Study 2).

Both studies investigated the effect of individual demographics (gender, age, perceived socioeconomic and health status) on perceived preparedness. Next, the studies examined the extent to which perceived preparedness was associated with mental health outcomes (anxiety, depression, and stress symptoms). Participants (Study 1, N = 409) completed an online survey in May to June 2020 during a national lockdown, with another sample (Study 2, N = 87) completing the same survey from March to July 2022.

Across both studies, participants completed 2 to 3 different preparedness activities. Greater subjective perceptions of socioeconomic status were associated with perceived preparedness. Preparedness levels were related with better mental health, and unrelated to age and gender.

Encouraging the public to engage with preparedness behaviors may not only have practical benefits but also help to protect mental well-being during a disaster.

Rigorous antibiotic stewardship is advised by international societies to combat rising antibiotic resistance. A major component of these programs is the metric used for antibiotic consumption measurement. A method for standardized antimicrobial administration ratio (SAAR) is suggested by the Centre for Disease Control & Prevention—National Healthcare Safety Network (NHSN).

We applied the SAAR method to calculate antibiotic consumption in a tertiary care hospital in India. We also validated a limited sampling approach to calculate SAAR.

The prospective study was conducted in three medical intensive care units over a period of 12 months. Monthly antibiotic consumption was measured by the hospital electronic records. Limited sampling was performed by weekly bedside review of the antibiotic orders. Formulae for SAAR calculation were derived from the NHSN guide. SAAR obtained by electronic records and limited sampling were compared to validate this approach.

SAAR was calculated as >1 for an Indian hospital (1.49 by electronic records and 1.43 by limited sampling approach). The difference between the two ratios was not statistically significant (P = .47).

SAAR in our setting is 1.49, which is slightly higher than the NHSN benchmark. Antibiotic usage (AU) risk adjustment based on data from the NHSN might not be adequate for calculating SAAR for Indian hospitals. There is a need to perform AU risk factor analysis for Indian settings for better defining SAAR in Indian context. The limited sampling approach can be adapted for calculation of SAAR in settings with limited resources.

This study investigated the relationship between various intrapersonal factors and the discrepancy between subjective and objective cognitive difficulties in adults with attention-deficit hyperactivity disorder (ADHD). The first aim was to examine these associations in patients with valid cognitive symptom reporting. The next aim was to investigate the same associations in patients with invalid scores on tests of cognitive symptom overreporting.

The sample comprised 154 adults who underwent a neuropsychological evaluation for ADHD. Patients were divided into groups based on whether they had valid cognitive symptom reporting and valid test performance (n = 117) or invalid cognitive symptom overreporting but valid test performance (n = 37). Scores from multiple symptom and performance validity tests were used to group patients. Using patients’ scores from a cognitive concerns self-report measure and composite index of objective performance tests, we created a subjective-objective discrepancy index to quantify the extent of cognitive concerns that exceeded difficulties on objective testing. Various measures were used to assess intrapersonal factors thought to influence the subjective-objective cognitive discrepancy, including demographics, estimated premorbid intellectual ability, internalizing symptoms, somatic symptoms, and perceived social support.

Patients reported greater cognitive difficulties on subjective measures than observed on objective testing. The discrepancy between subjective and objective scores was most strongly associated with internalizing and somatic symptoms. These associations were observed in both validity groups.

Subjective cognitive concerns may be more indicative of the extent of internalizing and somatic symptoms than actual cognitive impairment in adults with ADHD, regardless if they have valid scores on cognitive symptom overreporting tests.

Timely intervention is beneficial to the effectiveness of eating disorder (ED) treatment, but limited capacity within ED services means that these disorders are often not treated with sufficient speed. This service evaluation extends previous research into guided self-help (GSH) for adults with bulimic spectrum EDs by assessing the feasibility, acceptability, and preliminary effectiveness of virtually delivered GSH using videoconferencing.

Patients with bulimia nervosa (BN), binge eating disorder (BED) and other specified feeding and eating disorders (OSFED) waiting for treatment in a large specialist adult ED out-patient service were offered virtually delivered GSH. The programme used an evidence-based cognitive behavioural self-help book. Individuals were supported by non-expert coaches, who delivered the eight-session programme via videoconferencing.

One hundred and thirty patients were allocated to a GSH coach between 1 September 2020 and 30 September 2022; 106 (82%) started treatment and 78 (60%) completed treatment. Amongst completers, there were large reductions in ED behaviours and attitudinal symptoms, measured by the ED-15. The largest effect sizes for change between pre- and post-treatment were seen for binge eating episode frequency (d = –0.89) and concerns around eating (d = –1.72). Patients from minoritised ethnic groups were over-represented in the non-completer group.

Virtually delivered GSH is feasible, acceptable and effective in reducing ED symptoms amongst those with bulimic spectrum disorders. Implementing virtually delivered GSH reduced waiting times, offering a potential solution for long waiting times for ED treatment. Further research is needed to compare GSH to other brief therapies and investigate barriers for patients from culturally diverse groups.

Previous investigations have demonstrated the clinical utility of the Delis-Kaplan Executive Function System (D-KEFS) Color Word Interference Test (CWIT) as an embedded validity indicator in mixed clinical samples and traumatic brain injury. The present study sought to cross-validate previously identified indicators and cutoffs in a sample of adults referred for psychoeducational testing.

Archival data from 267 students and community members self-referred for a psychoeducational evaluation at a university clinic in the South were analyzed. Referrals included assessment for attention-deficit hyperactivity disorder, specific learning disorder, autism spectrum disorder, or other disorders (e.g., anxiety, depression). Individuals were administered subtests of the D-KEFS including the CWIT and several standalone and embedded performance validity indicators as part of the evaluation. Criterion measures included The b Test, Victoria Symptom Validity Test, Medical Symptom Validity Test, Dot Counting Test, and Reliable Digit Span. Individuals who failed 0 criterion measures were included in the credible group (n = 164) and individuals failing 2 or more criterion measures were included in the non-credible group (n = 31). Because a subset of the sample were seeking external incentives (e.g., accommodations), individuals who failed only 1 of the criterion measures were excluded (n = 72). Indicators of interest included all test conditions examined separately, the inverted Stroop index (i.e., better performance on the interference trial than the word reading or color naming trials), inhibition and inhibition/switching composite, and sum of all conditions.

Receiver Operating Characteristics (ROC) curves were significant for all four conditions (p < .001) and the inverted stroop index (p = .032). However, only conditions 2, 3 and 4 met minimal acceptable classification accuracy (AUC = .72 - 81). ROC curves with composite indicators were also significant (p < .001), with all three composite indicators meeting minimal acceptable classification accuracy (AUC = .71- .80). At the previously identified cutoff of age corrected scale score of 6 for all four conditions, specificity was high (.88 -.91), with varying sensitivity (.23 - .45). At the previously identified cutoff of .75 for the inverted stroop index, specificity was high (.87) while sensitivity was low (.19). Composite indicators yielded high specificity (.88 - .99) at previously established cutoffs with sensitivity varying from low to moderate (.19 - .48). Increasing the cutoffs (i.e., requiring higher age corrected scale score to pass) for composite indicators increased sensitivity while still maintaining high specificity. For example, increasing the total score cutoff from 18 to 28 resulted in moderate sensitivity (.26 vs .52) with specificity of .91.

While a cutoff of 6 resulted in high specificity for most conditions, the sum of all four conditions exhibited the strongest classification accuracy and appears to be the most robust indicator which is consistent with previous research (Eglit et al., 2019). However, a cutoff of 28 as opposed to 18 may be most appropriate for psychoeducational samples. Overall, the results suggest that the D-KEFS CWIT can function as a measure of performance validity in addition to a measure of processing speed/executive functioning.

Suicidal behaviors are prevalent among college students; however, students remain reluctant to seek support. We developed a predictive algorithm to identify students at risk of suicidal behavior and used telehealth to reduce subsequent risk.

Data come from several waves of a prospective cohort study (2016–2022) of college students (n = 5454). All first-year students were invited to participate as volunteers. (Response rates range: 16.00–19.93%). A stepped-care approach was implemented: (i) all students received a comprehensive list of services; (ii) those reporting past 12-month suicidal ideation were directed to a safety planning application; (iii) those identified as high risk of suicidal behavior by the algorithm or reporting 12-month suicide attempt were contacted via telephone within 24-h of survey completion. Intervention focused on support/safety-planning, and referral to services for this high-risk group.

5454 students ranging in age from 17–36 (s.d. = 5.346) participated; 65% female. The algorithm identified 77% of students reporting subsequent suicidal behavior in the top 15% of predicted probabilities (Sensitivity = 26.26 [95% CI 17.93–36.07]; Specificity = 97.46 [95% CI 96.21–98.38], PPV = 53.06 [95% CI 40.16–65.56]; AUC range: 0.895 [95% CIs 0.872–0.917] to 0.966 [95% CIs 0.939–0.994]). High-risk students in the Intervention Cohort showed a 41.7% reduction in probability of suicidal behavior at 12-month follow-up compared to high-risk students in the Control Cohort.

Predictive risk algorithms embedded into universal screening, coupled with telehealth intervention, offer significant potential as a suicide prevention approach for students.