The COVID-19 pandemic and lockdowns had a significant impact on mental well-being and (mental) healthcare systems globally.

To describe trends and dynamics of out-patient prescribing of psychotropic medications during the COVID-19 pandemic in The Netherlands.

Dispensed psychotropic medication prescriptions during the COVID-19 pandemic from March 2020 to March 2022 were retrieved from national registry data. Numbers of total and incident dispensed prescriptions and defined daily doses (DDDs) were identified for six medication groups. Overall pandemic-related changes in prescribing trends were analysed using interrupted time-series analyses. Lockdown-related prescribing dynamics were described using monthly risk ratios.

No overall pandemic-related changes in prescribing were detected, except for alcohol addiction medication, for which a pre-pandemic decline in total dispensed prescriptions and DDDs levelled off during the pandemic: +10 prescriptions per week (95% CI 7–11, P ≤ 0.001) and +111 DDDs per week (95% CI 56–165, P = 0.001). Monthly prescribing dynamics showed transient increases in all medication groups during the second and third lockdown periods. There were decreases in dispensed incident antidepressant and opioid addiction medication prescriptions during the first lockdown (average risk ratios: 0.87 and 0.88 respectively), and DDDs of dispensed incident and total attention-deficit hyperactivity disorder medication prescriptions and incident benzodiazepine prescriptions were elevated from the end of the second lockdown (average risk ratios: 1.40, 1.12 and 1.17, respectively).

These findings raise concerns regarding possible over- and under-prescribing during the pandemic. Further understanding of specific factors driving these changes is necessary to help prepare for future mental health(care) challenges.

Understanding the factors influencing alcohol use disorder (AUD) treatment outcomes is essential. More knowledge about patient characteristics that predict treatment outcomes can help personalise interventions, improve treatment planning and address the needs of specific subgroups. The frequency of treatment attendance may also affect drinking outcomes after treatment. Despite research efforts, uncertainty remains about how patient factors and treatment attendance influence treatment outcomes.

To examine how patient factors and treatment attendance predict high- or low-risk drinking at the end of treatment.

We used data (N = 92) from a multisite observational study of treatment-seeking individuals with AUD attending group treatment. Sociodemographic measures, alcohol and substance use measures, cognitive functioning, psychological distress, personality functioning and quality of life were screened in univariate analyses. Significant variables were entered into a binary logistic regression model.

Individuals with a higher percentage of treatment attendance (odds ratio 0.96 [95% CI 0.93, 0.96]) and with greater responsiblity scores on the Severity Indices of Personality Functioning (odds ratio 0.30 [95% CI 0.14, 0.64]) had a decreased likelihood of high-risk drinking at treatment end. Substance use, psychological distress and cognitive functioning were not associated with drinking levels at the end of treatment.

A higher percentage of treatment attendance has a minor effect on drinking levels. Being more responsible, as reflected in higher scores on the responsibility domain, reduces the likelihood of high-risk drinking at the end of treatment. Clinicians are encouraged to screen and assess personality functioning when planning treatment for individuals with AUD.

Early detection of psychosis is paramount for reducing the duration of untreated psychosis (DUP). One key factor contributing to extended DUP is service delay – the time from initial contact with psychiatric services to diagnosis. Reducing service delay depends on prompt identification of psychosis. Patients with schizophrenia and severe social impairment have been found to have prolonged DUP. Whether service delay significantly contributes to prolonged DUP in this group is unclear.

To examine and compare the course of illness for patients with schizophrenia who are homeless or domiciled, with a focus on service delay in detecting psychosis.

In this case–control study, we included out-patients with a schizophrenia spectrum diagnosis and who were homeless or domiciled but in need of an outreach team to secure continuous treatment. Interviews included psychosocial history and psychopathological and social functioning scales.

We included 85 patients with schizophrenia spectrum disorder. Mean service delay was significantly longer in the homeless group (5.5 years) compared with the domiciled group (2.5 years, P = 0.001), with a total sample mean of 3.9 years. Similarly, DUP was significantly longer in the homeless group, mean 15.5 years, versus 5.0 years in the domiciled group (P < 0.001). Furthermore, the homeless group had an earlier onset of illness than the domiciled group but were almost the same age at diagnosis.

Our findings point to the concerning circumstance that individuals with considerable risk of developing severe schizophrenia experience a substantial delay in diagnosis and do not receive timely treatment.

User engagement is recognised as a critical and pervasive challenge that has limited the potential evidence base being developed for mental health apps.

To understand young people’s motivations for participating in a randomised controlled trial for a mental health app and the role of intrinsic (e.g. improving well-being) and extrinsic (e.g. financial incentives) drivers in engagement.

Emotional Competence for Well-Being (ECoWeB) was a superiority parallel three-arm randomised cohort trial recruiting a cohort of 16–22 year-olds across the UK, Germany, Spain and Belgium, who, depending on risk, were allocated respectively to the PREVENT (n = 1262) versus PROMOTE (n = 2532) trials. We conducted in-depth semi-structured interviews in the UK (n = 18, mean age = 17.7, s.d. = 1.5) and Spain (n = 11, mean age 20.6, s.d. = 1.7) to explore participants’ self-reported motivations and engagement. The trial was registered at ClinicalTrials.gov: NCT04148508.

Across arms, 21% of participants never set up an account to access the app and approximately 50% did not complete the 3-month follow-up assessment. Engagement was not significantly higher in the intervention arm compared to the control arms across metrics. Qualitative findings demonstrated that although extrinsic factors alone may be enough to prompt someone to sign up to research, intrinsic drivers (e.g. finding the app useful) are needed to ensure longer-term engagement.

Incentivising participation in clinical trials needs to be consistent with incentives that might be utilised at the point of dissemination and implementation to ensure that findings are replicated if that intervention is adopted at scale.

Mental health literacy can potentially be improved through a public mental health campaign. The aim of the campaign Every Mind Matters (EMM) was to support adults to help address common subclinical mental health problems and improve their mental well-being and literacy, by using its National Health Service-endorsed digital resources.

Although not an objective of the campaign itself, this study aims to (a) address the relationship of EMM through the use of general practitioners and mental health therapists and (b) explore the association of EMM with symptom management knowledge.

Health Survey for England 2019 data were obtained on campaign awareness, uptake of campaign materials and the use of general practitioners and therapists. Logistic regression models were used to explore the impact of the campaign on whether services were used, and ordered logistic models explored the impact on the number of contacts. Campaign costs were viewed alongside symptom management outcomes.

The analyses included 2023 individuals. Of those campaign aware, 16% had contact with a general practitioner for mental health reasons compared with 9% of those who were campaign unaware. Those who were campaign aware were also significantly more likely to have seen a mental health therapist. The campaign cost per unit improvement in symptom management knowledge was below £20.

Contact with general practitioners and therapists was associated with campaign awareness. If even a small proportion of symptom management knowledge improvement is due to the campaign, then it has the potential to be cost-effective. Further work is required to establish this.

Antipsychotics are primarily indicated for psychotic disorders. There is increasing concern regarding their potential overuse for other conditions.

To examine the change in the number of community prescriptions and corresponding costs for antipsychotics per head of population over 25 years (1998–2022) in England.

The data for 1998–2022 were obtained from two separate resources from the OpenPrescribing database: from 1998 to 2016 from their long-term trends data-set; and for 2017–2022 from the monthly medication prescribing data. The relevant British National Formulary subcategories 4.2.1 ‘antipsychotic drugs’ and 4.2.2 ‘antipsychotic depot injections’ were selected. The annual differences in prescriptions and the mean average annual increase were calculated. Scatter plots to visualise the yearly trend and Spearman testing to assess the strength of the correlations were done. The total annual costs of these medications were calculated for this time period.

The annual mean increase in the number of prescriptions was 287 548 in raw numbers and 4.27 per 1000 population. There is a statistically significant and strong positive relationship between time and the prescriptions of antipsychotics per 1000 population (Spearman correlation coefficient 0.995, P ≤ 0.001). This increasing trend is driven by the increase in oral antipsychotic drug prescriptions over time (Spearman correlation coefficient 0.995, P ≤ 0.001). Antipsychotic drug costs increased until 2011, reduced until 2016 and rose again during 2020–2022.

This analysis suggests a worrying increasing trend in antipsychotic medication prescribing. Potential causal factors include off-licence use. Clinical practice and research implications are discussed.

People with functional disorders often receive high levels of healthcare resource use yet have poor outcomes. The health service costs and productivity losses of functional cognitive disorders (FCD) is unknown.

This study aims to report the cost to health services and productivity losses of FCD.

Examination of healthcare service use and productivity losses in a sample of individuals with FCD who had attended a specialist out-patient clinic in south London.

The findings revealed high rates of healthcare use, including frequent contact with general practitioners, psychologists and hospital services, as well as work absences. The total estimated cost of healthcare and productivity losses per individual over 6 months was £1114.

These results highlight the need for effective and efficient diagnostic pathways, targeted and effective interventions, and improved support for individuals with FCD.

Myocardial bridge contributes to chest pain, often accompanied by non-specific complaints.

Our study aims to determine somatic symptom disorder (SSD) prevalence in patients with myocardial bridge, investigating associated clinical and psychological features.

In this prospective cross-sectional study, we enrolled 1357 participants (337 with and 1020 without myocardial bridge) from Shanghai Renji Hospital. The Somatic Symptom Scale-China questionnaire was used to assess SSD. Depressive and anxiety disorders were assessed by the Patient Health Questionnaire-9 (PHQ-9) and Generalised Anxiety Disorder-7 (GAD-7).

The prevalence of SSD in the myocardial bridge group was 63.2%, higher than the group without myocardial bridge (53.8%). Patients with myocardial bridge were at an increased risk of SSD (odds ratio 1.362, 95% CI 1.026–1.809; P = 0.033). There were no differences in the mean PHQ-9 scores (3.2 ± 3.4 v. 3.2 ± 4.1; P = 0.751) or GAD-7 scores (2.5 ± 3.0 v. 2.3 ± 3.7; P = 0.143) between the two groups. Among patients with myocardial bridge, gender was the only independent risk factor for SSD. Women were 3.119 times more likely to experience SSD compared with men (95% CI 1.537–6.329; P = 0.002).

Our findings emphasise the high prevalence and severity of SSD among patients with myocardial bridge. The screening for SSD should be of particular concern, especially among female patients.

Hong Kong’s 3-year dynamic zero-COVID policy has caused prolonged exposure to stringent, pervasive anti-epidemic measures, which poses additional stressors on emotional well-being through pandemic fatigue, beyond the incumbent fear of the pandemic.

To investigate how major policy shifts in the zero-COVID strategy have corresponded with changing relationships between emotional well-being, pandemic fatigue from policy adherence, and pandemic fear, following the pandemic peak to a living-with-COVID policy.

A three-wave repeated cross-sectional study (N = 2266) was conducted on the Chinese working-age population (18–64 years) during the peak outbreak (Wave 1), and subsequent policy shifts towards a living-with-COVID policy during the initial relaxation (Wave 2) and full relaxation (Wave 3) of anti-epidemic measures from March 2022 to March 2023. Non-parametric tests, consisting of robust analysis of covariance tests and quantile regression analysis, were performed.

The severity of all measures was lowered after Wave 1; however, extreme pandemic fears reported in Wave 2 (n = 38, 7.7%) were associated with worse emotional well-being than the pandemic peak (Wave 1), which then subsided in Wave 3. Pandemic fatigue posed greater negative emotional well-being in Wave 1, whereas pandemic fear was the dominant predictor in Waves 2 and 3.

Pandemic fatigue and pandemic fear together robustly highlight the psychological cost of prolonged pandemic responses, expanding on a framework for monitoring and minimising the unintended mental health ramifications of anti-epidemic policies.

Auditory hallucinations (hearing voices in the absence of physical stimuli) are present in clinical conditions, but they are also experienced less frequently by healthy individuals. In the non-clinical population, auditory hallucinations are described more often as positive and not intrusive; indeed, they have received less attention.

The present study explores the phenomenology of non-clinical auditory hallucinations and their possible relationship with religiosity.

Starting from previous findings suggesting that non-clinical auditory hallucinations are often described as a gift or a way to be connected with ‘someone else’, we administered standardised questionnaires to quantify proneness to experiencing auditory hallucinations, religiosity and anxiety/depression scores.

Regression analysis carried out using an auditory hallucinations, index as the dependent variable on a final sample of 680 responders revealed that a total of 31% of the variance was explained by a five-steps model including demographic characteristics (i.e. being young, a woman and a non-believer) and negative (e.g. being afraid of otherworldly punishments) and positive (e.g. believing in benevolent supernatural forces) components of religiosity, anxiety and depression. Crucially, compared with believers, non-believers revealed higher scores in depression, anxiety and in a specific questionnaire measuring proneness to auditory hallucinations.

Results suggests that religiosity acts as a potential protective factor for proneness to paranormal experiences, but a complex relationship emerges between religious beliefs, mood alterations and unusual experiences.

People with an intellectual disability are vulnerable to additional disorders such as dementia. Psychometrically sound and specific instruments are needed for assessment of cognitive functioning in cases of suspected dementia.

To evaluate the construct and item validity, internal consistency and test–retest reliability of a new neuropsychological test battery, the Dementia Test for People with Intellectual Disability (DTIM).

The DTIM was applied to 107 individuals with intellectual disability with (n = 16) and without (n = 91) dementia. The psychometric properties of the DTIM were assessed in a prospective study. The assessors were blinded to the diagnostic assignment.

Confirmatory factor analysis at the scale level showed that a one-factor model fitted the data well (root mean square error of approximation < 0.06, standardised root mean square residual < 0.08, comparative fit index > 0.9). At the domain level, one-factor models showed reasonable-to-good fit index for five of seven domains. Internal consistency indicated excellent reliability of the overall scale (Cronbach’s α: 0.94 for dementia and 0.95 for controls). Item analysis revealed a wide range of difficulties (0.19–0.75 for dementia, 0.31–0.87 for controls), with minimal floor and ceiling effects. Eleven items (26%) had discrimination value ≤ 0.50. Test–retest reliability (n = 82) was high, with intraclass correlations of 0.95 (total score) and 0.69–0.96 (domains).

The DTIM fits a one-factor model and demonstrates internal and test–retest reliability; thus, it is suitable for use in cases of suspected dementia in people with various intellectual disabilities.