To date, no research has explored the impact of the COVID-19 pandemic on psychotropic prescription patterns among young people in Japan, where lockdown measures were relatively less stringent.

This study aimed to investigate changes in the prescription patterns of psychotropic medications for Japanese young people before and after the COVID-19 pandemic, using the DeSC Database.

We conducted an interrupted time-series analysis, with data from February 2016 to November 2022, to assess the pandemic’s effects on psychotropic prescriptions for children, adolescents and young adults. The analysis included subgroups based on age (6–11, 12–17 and 18–22 years) and gender. The number of patients prescribed psychiatric drugs before and after the pandemic was analysed.

Among 93 385 individuals, psychotropic prescriptions – except anxiolytics – increased overall, although not uniformly across age and gender groups. Significant upward trends were observed in the prescription rates of antidepressants (from 2.53 (95% CI 2.21–2.84) to 6.47 (95% CI 5.89–7.05) patients per month), anxiolytics (from −1.83 (95% CI −2.52 to −1.13) to 7.37 (95% CI 6.06–8.67) per month) and hypnotics/sedatives (from −1.48 (95% CI 0.73–2.24) to 6.62 (95% CI 5.21–8.03) per month).

A persistent increase in psychotropic medication prescriptions was observed after the COVID-19 pandemic. Given the influence of age and gender, clinicians and society must prioritise the mental health needs of the female and adolescent populations. These findings may be generalisable to other countries that implemented less stringent lockdown measures.

The COVID-19 pandemic has placed unprecedented strain on global health systems, significantly affecting both the physical and emotional well-being of populations. Nursing students represent a particularly vulnerable group due to the pandemic’s impact on their mental health and academic progression. This study aims to assess the level of resilience among Spanish university nursing students during the pandemic.

A longitudinal study was conducted with 361 nursing students from March to October 2020. Self-report questionnaires measured emotional intelligence, resilience, anxiety, depression, optimism, and self-efficacy during the first and second COVID-19 waves. Analyses included descriptive statistics, Spearman’s correlations, and hierarchical multiple regression.

Resilience slightly decreased from March to October 2020, while anxiety increased and depression remained stable. Resilience was positively correlated with optimism, self-efficacy, and emotional intelligence, particularly emotion regulation. Higher resilience was predicted by not living alone, greater optimism, and stronger emotion regulation skills.

Spanish nursing students showed variable resilience during COVID-19, positively associated with optimism, self-efficacy, emotional intelligence, and mental health factors like anxiety and depression. Findings highlight the psychological impact of the pandemic and support resilience-focused interventions in nursing education.

Ethnic inequalities in compulsory psychiatric hospital detentions are well-documented in the UK and internationally. It is unknown how UK coronavirus disease 2019 (COVID-19) lockdown measures, which led to restrictions in public movement, gatherings, in-person health service delivery and changes to police powers, further impacted inequalities.

In this study, we assessed whether national lockdown measures impacted ethnic inequalities in voluntary and compulsory psychiatric hospital admissions during the COVID-19 pandemic.

Daily counts of admissions and detentions to psychiatric hospitals were extracted from a large population-level sample of secondary mental health service users in South East London. Changes during two COVID-19 lockdown periods, over 2020–2021, were compared with pre-pandemic periods (2016–2019) with the use of a regression discontinuity in time design to assess ethnic inequalities in voluntary and compulsory mental health admissions.

Compared to the pre-pandemic reference (2016–2019), after adjusting for seasonal and weekly trends, overall admissions to mental health units dropped during the first COVID-19 lockdown (incidence rate ratio (IRR) 0.87 (95% CI: 0.75–1.00)), but compulsory detentions rose (IRR 1.25 (1.05–1.54)). This was mostly due to higher compulsory detentions in the Black Caribbean group (IRR 1.54 (1.08–2.19)). During the second COVID-19 lockdown, whereas total daily admissions remained similar to the pre-pandemic reference (IRR 1.03 (0.92–1.15)), total new daily detentions was elevated (IRR 1.28 (1.11–1.49)), specifically in Black Caribbean (IRR 1.53 (1.14–2.06)) and Black African (IRR 1.57 (1.06–2.34)) groups.

COVID-19 lockdown measures exacerbated pre-existing ethnic inequalities in compulsory psychiatric detention, particularly for those from Black Caribbean and Black African backgrounds. There is a need to address ethnic inequalities in compulsory psychiatric detentions and attend to exacerbations of pre-existing inequalities during health emergencies like the COVID-19 pandemic. This cannot be achieved without addressing systemic racism within criminal justice and healthcare systems and tackling inequalities in wider social and economic determinants of mental health.

Community health centers (CHCs) and those most burdened by disease are important partners in setting research agendas to address the needs of people who are medically underserved.

Identify and prioritize health equity-focused research priorities using a collaborative approach to community engagement of key informants.

We used five stepwise phases from January 2021 to February 2023 to formulate and prioritize a set of health equity-focused research topics among CHC staff (leaders, clinicians), their key advisors (patients and community members), and researchers from academic medical centers in California. Phases included: (1) community advisory board formation, (2) key informant identification, (3) individual/small group interview guide development and administration, (4) initial health equity-focused topic categorization, and (5) in-person meeting with community advisors for final topic prioritization using nominal group technique.

Twenty individual or small group interviews were completed with 44 diverse participants, along with engagement from our community advisory board, which resulted in an initial list of 11 health equity-focused research topics. Ninety advisors including diverse community members, CHC staff/leaders, and researchers prioritized six overarching research topics. Final prioritized health-equity focused research topics include addressing mental health challenges, improving public’s trust in healthcare and science, healthcare delivery models to increase access and utilization, build and sustain an anti-racist healthcare system, strategies and interventions to address health misinformation, and continuing and sustaining polices based on lessons learned from COVID-19.

Results offer future direction for community-engaged research agendas to advance health equity among medically underserved and vulnerable patient populations.

The COVID-19 pandemic exacerbated psychological distress, but limited information is available on the shifts in mental health symptoms and their associated factors across different stages. This study was conducted to more reliably estimate shifts in mental health impacts and to identify factors associated with symptoms at different pandemic stages.

We performed a national repeated cross-sectional study at stable (2021), recurrence (2022), and end-of-emergency (2023) stages based on representative general national population with extensive geographic coverage. Anxiety, depression, post-traumatic stress disorder (PTSD) and insomnia symptoms were evaluated by GAD-7, PHQ-9, IES-R and ISI scales, respectively, and their associated factors were identified via multivariable linear regression.

Generally, 42,000 individuals were recruited, and 36,218, 36,097 and 36,306 eligible participants were included at each stage. The prevalence of anxiety, depression and insomnia symptoms increased from 13.7–16.4% at stable to 17.3–22.2% at recurrence and decreased to 14.5–18.6% at end of emergency, while PTSD symptom continuously increased from 5.1% to 7.6% and 9.2%, respectively (all significant, P < 0.001). Common factors associated with mental health symptoms across all stages included centralized quarantine, frontline work and residence in initially widely infected areas. Centralized quarantine was linked to anxiety, depression, PTSD and insomnia during the stable, recurrence and end-of-emergency stages. Frontline workers exhibited higher risks of anxiety, depression and insomnia throughout these stages. Individuals in initially widely infected areas were more likely to experience depression and PTSD, particularly during the stable and recurrence stages. Stage-specific risk factors were also identified. Lack of outdoor activity was associated with anxiety, depression and insomnia during the stable and recurrence stages. Residents in high-risk areas during the recurrence stage correlated with increased anxiety and insomnia. Suspected infection was tied to anxiety and insomnia in the recurrence and end-of-emergency stages, while the death of family or friends was linked to PTSD during recurrence and to depression, PTSD and insomnia at the end-of-emergency stage.

Mental health symptoms increased when pandemic recurred, and could remain after end-of-emergency, requiring prolonged interventions. Several key factors associated with mental symptoms and their variations were identified at different pandemic stages, suggesting different at-risk populations.

To evaluate the hospital-level impact of the COVID-19 pandemic on U.S. academic medical centers (AMCs) and assess regional variation in care delivery to inform public health emergency preparedness strategies.

We retrospectively analyzed adult inpatient discharges from 106 AMCs using Vizient® Clinical Data Base from October 2019 to December 2023. The study period was divided into pre-COVID (Oct 2019-Mar 2020), early-COVID (Apr 2020-Dec 2020), late-COVD (Jan 2021-May 2023), and post-COVID (Jun-Dec 2023). Outcomes included hospital encounters, length of stay (LOS), ICU admissions, ICU LOS, mortality, and case mix index (CMI). Mixed models assessed temporal and regional variation.

Among 13.5 million discharges, monthly encounters declined during early COVID and rebounded post-COVID (P < 0.0001). Observed LOS increased from 6.2 to 6.7 days during the pandemic and remained elevated post-COVID (P < 0.0001). ICU LOS rose during early and late COVID (P < 0.0001), while ICU admission rates declined slightly over time (P = 0.0112). Mortality peaked at 3.4% during early COVID and returned to 2.8% post-COVID (P < 0.0001).

The COVID-19 pandemic significantly disrupted inpatient operations at U.S. AMCs, with increased LOS, ICU burden, and case complexity. By segmenting the pandemic into phases, we identified patterns in hospital performance that reflect evolving public health challenges.