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Background: The impact of the COVID‐19 pandemic on the mental health of children and young people (CYP) has been widely reported. Primary care electronic health records were utilised to examine trends in the diagnosing, recording and treating of these common mental disorders by ethnicity and social deprivation in Greater Manchester, England. Methods: Time‐series analyses conducted using Greater Manchester Care Record (GMCR) data examined all diagnosed episodes of anxiety disorders and depression and prescribing of anxiolytics and antidepressants among patients aged 6–24 years. The 41‐month observation period was split into three epochs: Pre‐pandemic (1/2019–2/2020); Pandemic Phase 1 (3/2020–6/2021); Pandemic Phase 2 (7/2021–5/2022). Rate ratios for all CYP specific to sex, age, ethnicity, and neighbourhood‐level Indices of Multiple Deprivation (IMD) quintile were modelled using negative binomial regression. Results: Depression and anxiety disorder rates were highest in females, CYP aged 19–24, and White and 'Other' ethnic groups. During Pandemic Phase 1, rates for these diagnoses fell in all demographic subgroups and then rose to similar levels as those recorded pre‐pandemic. In Pandemic Phase 2, rates in Black and Mixed‐ethnicity females rose to a significantly greater degree (by 54% and 62%, respectively) than those in White females. Prescribing rates increased throughout the study period, with significantly greater rises observed in non‐White females and males. The temporal trends were mostly homogeneous across deprivation quintiles. Conclusion: The observed fluctuations in frequency of recorded common mental illness diagnoses likely reflect service accessibility and patients' differential propensities to consult as well as changing levels of distress and psychopathology in the population. However, psychotropic medication prescribing increased throughout the observation period, possibly indicating a sustained decline in mental health among CYP, and also clinicians' responses to problems presented. The comparatively greater increases in frequencies of diagnosis recording and medication prescribing among ethnic minority groups warrants further investigation. [ABSTRACT FROM AUTHOR]

Background: Patient and public involvement and engagement (PPIE) is integral to health research. Reporting of PPIE methods and impact is becoming increasingly common in health research. However, reporting on PPIE in studies using large, routinely collected electronic health record data sets is less common. Anecdotal evidence suggests that involvement in this research context is more challenging and offers fewer opportunities for meaningful influence on the research process. Objectives: This paper reports the involvement approach for a Clinical Practice Research Datalink (CPRD) study and critically reflects on the process and impact of involving young people, parents and carers in research using this UK primary care electronic health record data set. Methods: The CHOOSE study investigated mental health diagnoses of children and young people (1–24 years) during the COVID‐19 pandemic using the CPRD. The study was informed by a Lived Experience Advisory Panel (LEAP) which consisted of 13 members including 8 young people (13–25 years) with lived experience of mental health difficulties and 5 parents/carers, with involvement activities facilitated by project partners, mental health research charity, The McPinR Foundation. We reflect on this process in this manuscript. Results: Key benefits of involving people with lived experience in this research included making sense of and contextualising findings and ensuring that they were focused on making a difference to young people's lives. Challenges included the fixed nature of the CPRD data, which did not capture all the information people with lived experience perceived to be important. Researchers expressed limited time for PPIE activities although that was compensated by McPin colleagues who organised and facilitated online meetings, and supported the young people, parents and carers during and between meetings. Conclusions: This paper describes an approach to patient and public involvement in an electronic health record database study. Working collaboratively with young people, carers and other stakeholders requires sufficient time and adequate resources. We also highlight the importance of appropriate training and support and being transparent about the limitations of PPIE involvement. Patient or Public Contribution: Three members of the CHOOSE LEAP have been involved in conceptualising and writing this paper. [ABSTRACT FROM AUTHOR]

Background: Evidence is sparse regarding service usage and the clinical management of people recently discharged from inpatient psychiatric care who die by suicide. Aim: To improve understanding of how people discharged from inpatient mental health care are supported by primary care during this high-risk transition. Design & setting: A nested case-control study, utilising interlinked primary and secondary care records in England for people who died within a year of discharge between 2001 and 2019, matched on age, sex, practice-level deprivation, and region with up to 20 living discharged people. Method: We described patterns of consultation, prescription of psychotropic medication, and continuity of care for people who died by suicide and those who survived. Mutually adjusted relative risk estimates were generated for a range of primary care and clinical variables. Results: More than 40% of patients who died within 2 weeks of discharge and >80% of patients who died within 1 year of discharge had at least one primary care consultation within the respective time periods. Evidence of discharge communication from hospital was infrequent. Within-practice continuity of care was relatively high. Those who died by suicide were less likely to consult within 2 weeks of discharge (adjusted odds ratio [AOR] 0.61 [95% confidence interval {CI} = 0.42 to 0.89]), more likely to consult in the week before death (AOR 1.71 [95% CI = 1.36 to 2.15]), be prescribed multiple types of psychotropic medication (AOR 1.73 [95% CI = 1.28 to 2.33]), experience readmission, and have a diagnosis outside of the 'severe mental illness' definition. Conclusion: Primary care clinicians have opportunities to intervene and should prioritise patients experiencing transition from inpatient care. Clear communication and liaison between services is essential to provide timely support. [ABSTRACT FROM AUTHOR]

Introduction: More evidence for patterns of healthcare utilisation and associated costs among people receiving opioid agonist therapy (OAT) is needed. We investigated primary and secondary healthcare usage and costs among methadone and buprenorphine recipients in England. Methods: We conducted a cohort study using the Clinical Practice Research Datalink GOLD and Aurum databases of patients who were prescribed OAT between 1 January 2007 and 31 July 2019. The cohort was linked to Hospital Episode Statistics admitted patient care, outpatient and emergency department data, neighbourhood‐ and practice‐level Index of Multiple Deprivation quintiles and mortality records. Negative binomial regression models were applied to estimate weighted rate ratios (wRR) of healthcare utilisation. Total and mean costs were calculated using Unit Costs of Health and Social Care and the National Healthcare Service Payment by Results National Tariffs. Results: Among 12,639 patients observed over 39,016 person‐years, we found higher rate of hospital admissions (wRR 1.18; 1.08–1.28) among methadone compared with buprenorphine recipients. The commonest hospital discharge diagnoses among methadone patients were infectious diseases (19.2%), mental and behavioural disorders (17.0%) and drug‐related poisoning (16.5%); the three commonest among buprenorphine patients were mental and behavioural diseases (21.5%), endocrine (13.8%) and genitourinary system diseases (13.1%). Methadone patients had similar mean costs compared with buprenorphine patients (cost difference: £539.01; 432.11–1006.69). Discussion and Conclusions: Differences in healthcare utilisation frequency for methadone versus buprenorphine recipients were observed. The differences in associated costs were mainly driven by hospital admissions. These findings offer valuable insights for optimising care strategies and resource allocation for OAT recipients. [ABSTRACT FROM AUTHOR]

Key Points: Question: Are certain neighborhood deprivation trajectories and moving during childhood associated with depression in adulthood? Findings: This cohort study found that individuals who lived in neighborhoods during childhood that were more income deprived were more likely to develop depression in adulthood. The experience of moving during childhood, whether living in a deprived or nondeprived neighborhood, was associated with significantly higher rates of depression in adulthood compared with those who did not move. Meaning: This study suggests that rather than solely high neighborhood income deprivation in childhood being associated with onset of depression during adulthood, a settled home environment in childhood may have a protective association. Importance: Complex biological, socioeconomic, and psychological variables combine to cause mental illnesses, with mounting evidence that early-life experiences are associated with adulthood mental health. Objective: To evaluate whether changing neighborhood income deprivation and residential moves during childhood are associated with the risk of receiving a diagnosis of depression in adulthood. Design, Setting, and Participants: This cohort study included the whole population of 1 096 916 people born in Denmark from January 1, 1982, to December 31, 2003, who resided in the country during their first 15 years of life. Individuals were followed up from 15 years of age until either death, emigration, depression diagnosis, or December 31, 2018. Longitudinal data on residential location was obtained by linking all individuals to the Danish longitudinal population register. Statistical analysis was performed from June 2022 to January 2024. Exposures: Exposures included a neighborhood income deprivation index at place of residence for each year from birth to 15 years of age and a mean income deprivation index for the entire childhood (aged ≤15 years). Residential moves were considered by defining "stayers" as individuals who lived in the same data zone during their entire childhood and "movers" as those who did not. Main Outcomes and Measures: Multilevel survival analysis determined associations between neighborhood-level income deprivation and depression incidence rates after adjustment for individual factors. Results were reported as incidence rate ratios (IRRs) with 95% credible intervals (95% CrIs). The hypotheses were formulated before data collection. Results: A total of 1 096 916 individuals (563 864 male participants [51.4%]) were followed up from 15 years of age. During follow-up, 35 098 individuals (23 728 female participants [67.6%]) received a diagnosis of depression. People living in deprived areas during childhood had an increased risk of depression (IRR, 1.10 [95% CrI, 1.08-1.12]). After full individual-level adjustment, the risk was attenuated (IRR, 1.02 [95% CrI, 1.01-1.04]), indicating an increase of 2% in depression incidence for each 1-SD increase in income deprivation. Moving during childhood, independent of neighborhood deprivation status, was associated with significantly higher rates of depression in adulthood compared with not moving (IRR, 1.61 [95% CrI, 1.52-1.70] for 2 or more moves after full adjustment). Conclusions and Relevance: This study suggests that, rather than just high or changing neighborhood income deprivation trajectories in childhood being associated with adulthood depression, a settled home environment in childhood may have a protective association against depression. Policies that enable and support settled childhoods should be promoted. This cohort study comprising more than 1 million individuals evaluates whether changing neighborhood income deprivation and residential moves during childhood are associated with the risk of depression in adulthood. [ABSTRACT FROM AUTHOR]

Key Points: Question: Is having peers with a mental disorder in the same social network during adolescence associated with later risk of mental disorder? Findings: In this cohort study including more than 700 000 individuals in Finland, analysis of nationwide, interlinked registry data found that having classmates diagnosed with a mental disorder in the ninth grade of comprehensive school was associated with increased risk of receiving a mental disorder diagnosis later in life. Increased risk remained after adjusting for an array of parental, school-level, and area-level confounders. Meaning: The findings of this study suggest that mental disorders might be socially transmitted within adolescent peer networks. Importance: Previous research indicates that mental disorders may be transmitted from one individual to another within social networks. However, there is a lack of population-based epidemiologic evidence that pertains to the full range of mental disorders. Objective: To examine whether having classmates with a mental disorder diagnosis in the ninth grade of comprehensive school is associated with later risk of being diagnosed with a mental disorder. Design, Setting, and Participants: In a population-based registry study, data on all Finnish citizens born between January 1, 1985, and December 31, 1997, whose demographic, health, and school information were linked from nationwide registers were included. Cohort members were followed up from August 1 in the year they completed ninth grade (approximately aged 16 years) until a diagnosis of mental disorder, emigration, death, or December 31, 2019, whichever occurred first. Data analysis was performed from May 15, 2023, to February 8, 2024. Exposure: The exposure was 1 or more individuals diagnosed with a mental disorder in the same school class in the ninth grade. Main Outcomes and Measures: Being diagnosed with a mental disorder during follow-up. Results: Among the 713 809 cohort members (median age at the start of follow-up, 16.1 [IQR, 15.9-16.4] years; 50.4% were males), 47 433 had a mental disorder diagnosis by the ninth grade. Of the remaining 666 376 cohort members, 167 227 persons (25.1%) received a mental disorder diagnosis during follow-up (7.3 million person-years). A dose-response association was found, with no significant increase in later risk of 1 diagnosed classmate (HR, 1.01; 95% CI, 1.00-1.02), but a 5% increase with more than 1 diagnosed classmate (HR, 1.05; 95% CI, 1.04-1.06). The risk was not proportional over time but was highest during the first year of follow-up, showing a 9% increase for 1 diagnosed classmate (HR, 1.09; 95% CI, 1.04-1.14), and an 18% increase for more than 1 diagnosed classmate (HR, 1.18; 95% CI, 1.13-1.24). Of the examined mental disorders, the risk was greatest for mood, anxiety, and eating disorders. Increased risk was observed after adjusting for an array of parental, school-level, and area-level confounders. Conclusions and Relevance: The findings of this study suggest that mental disorders might be transmitted within adolescent peer networks. More research is required to elucidate the mechanisms underlying the possible transmission of mental disorders. This cohort study examines the transmission of mental disorders among adolescents observed in follow-up after school exposure to 1 or more classmates diagnosed with a mental disorder. [ABSTRACT FROM AUTHOR]

Background: There is now substantial literature demonstrating that a disproportionate number of young people who come into contact with youth justice services evidence unidentified language difficulties. These young people, therefore, have received little or no professional input in this area. Conversely, there is a dearth of research pertaining to criminality outcomes among those individuals with identified developmental language disorders (DLD) who have received such interventions. Aims: To examine police-initiated contact and substance use outcomes of young adults with a history of identified DLD versus age-matched peers (AMP). Additionally, self-reported rule breaking behaviours and aggression are considered. We hypothesize that early identification/intervention reduces engagement with risky behaviour such as substance and alcohol use as well as offending-related behaviours. Methods & Procedures: Adversarial police-initiated contacts were examined in 84 young adults with a history of DLD and 88 AMP. Rule-breaking and aggression were evaluated using the Achenbach Adult Self-Report for ages 18-59 years. Outcomes & Results: Adults with a history of DLD who received targeted intervention during their school years reported less contact with their local police service compared with AMPs at age 24. Comparable proportions of both groups reported current alcohol consumption, but group differences were found relating to alcohol use. No group differences in rule-breaking behaviours were found, but the DLD group was found to have a statistically significant higher raw score on the aggressive behaviour scale. Conclusions & Implications: There is a need for early identification of children with DLD. Early intervention aimed at ameliorating such difficulties could possibly have distal outcomes in relation to offending.

Author(s): Evangelos Kontopantelis 1,2,3,*, Mamas A. Mamas 1,4,5, Roger T. Webb 6,7, Ana Castro 8, Martin K. Rutter 9,10, Chris P. Gale 11,12,13, Darren M. Ashcroft 2,7,14, Matthias Pierce 15, [...], Background Deaths in the first year of the Coronavirus Disease 2019 (COVID-19) pandemic in England and Wales were unevenly distributed socioeconomically and geographically. However, the full scale of inequalities may have been underestimated to date, as most measures of excess mortality do not adequately account for varying age profiles of deaths between social groups. We measured years of life lost (YLL) attributable to the pandemic, directly or indirectly, comparing mortality across geographic and socioeconomic groups. Methods and findings We used national mortality registers in England and Wales, from 27 December 2014 until 25 December 2020, covering 3,265,937 deaths. YLLs (main outcome) were calculated using 2019 single year sex-specific life tables for England and Wales. Interrupted time-series analyses, with panel time-series models, were used to estimate expected YLL by sex, geographical region, and deprivation quintile between 7 March 2020 and 25 December 2020 by cause: direct deaths (COVID-19 and other respiratory diseases), cardiovascular disease and diabetes, cancer, and other indirect deaths (all other causes). Excess YLL during the pandemic period were calculated by subtracting observed from expected values. Additional analyses focused on excess deaths for region and deprivation strata, by age-group. Between 7 March 2020 and 25 December 2020, there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL in England and Wales, equivalent to a 15% (95% CI: 14 to 16) increase in YLL compared to the equivalent time period in 2019. There was a strong deprivation gradient in all-cause excess YLL, with rates per 100,000 population ranging from 916 (95% CI: 820 to 1,012) for the least deprived quintile to 1,645 (95% CI: 1,472 to 1,819) for the most deprived. The differences in excess YLL between deprivation quintiles were greatest in younger age groups; for all-cause deaths, a mean of 9.1 years per death (95% CI: 8.2 to 10.0) were lost in the least deprived quintile, compared to 10.8 (95% CI: 10.0 to 11.6) in the most deprived; for COVID-19 and other respiratory deaths, a mean of 8.9 years per death (95% CI: 8.7 to 9.1) were lost in the least deprived quintile, compared to 11.2 (95% CI: 11.0 to 11.5) in the most deprived. For all-cause mortality, estimated deaths in the most deprived compared to the most affluent areas were much higher in younger age groups, but similar for those aged 85 or over. There was marked variability in both all-cause and direct excess YLL by region, with the highest rates in the North West. Limitations include the quasi-experimental nature of the research design and the requirement for accurate and timely recording. Conclusions In this study, we observed strong socioeconomic and geographical health inequalities in YLL, during the first calendar year of the COVID-19 pandemic. These were in line with long-standing existing inequalities in England and Wales, with the most deprived areas reporting the largest numbers in potential YLL.

Background: Bipolar disorders are serious mental illnesses, yet evidence suggests that the diagnosis and treatment of bipolar disorder can be delayed by around 6 years. Aim: To identify signals of undiagnosed bipolar disorder using routinely collected electronic health records. Design and setting: A nested case–control study conducted using the UK Clinical Practice Research Datalink (CPRD) GOLD dataset, an anonymised electronic primary care patient database linked with hospital records. 'Cases' were adult patients with incident bipolar disorder diagnoses between 1 January 2010 and 31 July 2017. Method: The patients with bipolar disorder (the bipolar disorder group) were matched by age, sex, and registered general practice to 20 'controls' without recorded bipolar disorder (the control group). Annual episode incidence rates were estimated and odds ratios from conditional logistic regression models were reported for recorded health events before the index (diagnosis) date. Results: There were 2366 patients with incident bipolar disorder diagnoses and 47 138 matched control patients (median age 40 years and 60.4% female: n = 1430/2366 with bipolar disorder and n = 28 471/47 138 without). Compared with the control group, the bipolar disorder group had a higher incidence of diagnosed depressive, psychotic, anxiety, and personality disorders and escalating self-harm up to 10 years before a bipolar disorder diagnosis. Sleep disturbance, substance misuse, and mood swings were more frequent among the bipolar disorder group than the control group. The bipolar disorder group had more frequent face-to-face consultations, and were more likely to miss multiple scheduled appointments and to be prescribed ≥3 different psychotropic medication classes in a given year. Conclusion: Psychiatric diagnoses, psychotropic prescriptions, and health service use patterns might be signals of unreported bipolar disorder. Recognising these signals could prompt further investigation for undiagnosed significant psychopathology, leading to timely referral, assessment, and initiation of appropriate treatments. [ABSTRACT FROM AUTHOR]