Changing Neighborhood Income Deprivation Over Time, Moving in Childhood, and Adult Risk of Depression.

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.

Primary care contact, clinical management and suicide risk following discharge from inpatient mental health care.

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: Over 40% of patients who died within 2 weeks and 80% who died later had at least one primary care consultation. 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 two weeks of discharge, AOR 0.61 (0.42-0.89), more likely to consult in the week before death, AOR 1.71 (1.36-2.15), to be prescribed multiple types of psychotropic medication, (AOR 1.73, 1.28-2.33), to 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.

Socio-demographic variation in diagnosis of and prescribing for common mental illnesses among children and young people during the COVID-19 pandemic: time series analysis of primary care electronic health records.

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.

Transmission of Mental Disorders in 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.

Identifying prior signals of bipolar disorder using primary care electronic health records: a nested case-control study.

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.

Risk factors for deaths of despair in England: An ecological study of local authority mortality data.

Deaths of Despair (DoD) are socially patterned fatalities encompassing those attributable to drug and alcohol misuse and suicide. DoD occur much more frequently in socially deprived communities. This ecological study aimed to yield new knowledge on the spatial distribution of DoD, and socioeconomic factors that predict DoD risk in England. Via ICD-10 coding, deaths nationally during 2019-2021 were classified to non-overlapping categories of drug-related death, alcohol-specific death, and suicide. The proportion of DoD from each of these causes was calculated and age standardised DoD rates were generated for local authorities. A multivariable regression model for DoD risk was developed using 25 socioeconomic indicators. In 2019-2021, an estimated 46,200 people lost their lives due to DoD. Rates were higher in the North and in coastal areas (p < 0.001), ranging regionally from 25.1/100,000 (SD 6.3) in London to 54.7/100,000 (SD 9.5) in the North East. Alcohol-specific deaths were the largest contributor of DoD, accounting for 44.1% (95%CI 43.5-44.8%) of all such deaths. Living in the North, unemployment, White British ethnicity, living alone, economic inactivity, employment in elementary occupations, and living in urban areas were significantly associated with elevated DoD risk. DoD in England are spatially patterned, with northern regions experiencing a much higher burden of mortality from these avoidable causes. This study provides novel insights into the area-level factors associated with DoD in England. Potential ecological error is a key limitation.

Absolute and relative risk of violent victimisation and perpetration following onset of mental illness: a Danish register-based study.

Background: Previous research has suggested that people with severe mental illness are at elevated risk of both violence perpetration and violent victimisation, with risk of the latter being perhaps greater than the former. However, few studies have examined risk across both outcomes. Methods: Using a total population approach, the absolute and relative risks of victimisation and perpetration were estimated for young men and women across the full psychiatric diagnostic spectrum. Information on mental disorder status was extracted from national registers and information on violent victimisation and perpetration outcomes from police records. The follow-up was from age 15 to a maximum of 31 years, with most of the person-time at risk pertaining to cohort members aged in their early twenties. Both absolute risk (at 1 and 5 years from onset of illness) and relative risk were estimated. Findings: Both types of violent outcome occurred more frequently amongst those with mental illness than the general population. However, whether risk of one was greater than the other depended on a range of factors, including sex and diagnosis. Men with a mental disorder had higher absolute risks of both outcomes than women [victimisation: Cin (5 year) = 7.15 (6.88-7.42) versus Cin (5 year) = 4.79 (4.61-4.99); perpetration: Cin (5 year) = 8.17 (7.90-8.46) versus Cin (5 year) = 1.86 (1.75-1.98)], as was the case with persons in the general population without a recorded mental illness diagnosis. Women with mental illness had higher absolute risk of victimisation than perpetration, which was also true for men and women without mental illness. However, the opposite was true for men with mental illness. Men and women with diagnoses of personality disorders, substance use disorders, and schizophrenia-spectrum disorders were at highest risk of victimisation and perpetration. Interpretation: Strategies developed to prevent violent victimisation and violence perpetration may need to be tailored for young adults with mental disorders. There may also be a benefit in taking a sex-specific approach to prevention in this group. Funding: This study was supported by an Australian National Health and Medical Research Council Investigator Grant awarded to the first author.

A Systematic Review of Interpersonal Violence Perpetration and Victimization Risk Examined Within Single Study Cohorts, Including in Relation to Mental Illness.

Rates of both violent victimization and violence perpetration are known to be elevated among individuals with mental illness compared with those in the general population, though the relative risk of each outcome is less well established. In this systematic review, PubMed, Embase, Web of Science, PsycINFO, and Criminal Justice Abstracts were searched for articles published any time before October 2021 that reported the prevalence or incidence of both violent victimization and perpetration. We performed two searches to identify studies using samples or cohorts of (1) persons with mental illnesses and (2) persons in the general population. A total of 25 studies (9 examining persons with mental illnesses, 13 examining persons in the general population, and 3 examining both sample/cohort types) were identified and data was extracted to describe the type and size of cohort or sample, definitions and terminology (i.e., mental illness, violence victimization, violence perpetration), data source(s), observation period, prevalence/incidence of victimization, and prevalence/incidence of perpetration. The Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data was used to conduct a quality assessment of all included studies. Due to marked study heterogeneity, results were presented using a narrative synthesis approach. Across studies, findings were mixed, and the methodological approaches varied greatly. Broadly, the review provides evidence for (1) higher rates of victimization than perpetration for both individuals with mental illness and those in the general population and (2) higher rates of both victimization and perpetration for those with mental illness compared to those in the general population.

Deaths of despair in England: an observational study of local authority mortality data.

BACKGROUND: Deaths of Despair (DoD) are socially patterned causes of death encompassing drug and alcohol misuse and suicide. DoDs are strongly associated with socioeconomic disadvantage. England has high levels of inequalities, so we hypothesised the existence of marked geographical variations in DoD. We aimed to yield new knowledge on the spatial distribution of DoD, and area-level socioeconomic factors that predict DoD risk in England. METHODS: This observational study was conducted using ICD-10 coded deaths for 307 local authorities in England during 2019-21. Deaths were grouped to non-overlapping categories of drug-related death, alcohol-specific death, and suicide. The mean contributions of each of these causes to the total number of DoD in England were calculated with Poisson exact confidence intervals. Standardised mortality ratios (SMRs) for DoD were generated for each local authority population. A multivariable regression model for DoD risk was developed using 25 socioeconomic variables. FINDINGS: An estimated 46 200 people lost their lives due to DoD between Jan 1, 2019, and Dec 31, 2021. Regional SMRs ranged from 57·4 (SD 16·1) in London to 144·1 (SD 26·8) in the northeast of England (p<0·0001). Alcohol-specific deaths were the largest contributor of DoD, accounting for 44·1% of DoD (95% CI 43·5-44·8), followed by drug-related death (28·1%, 27·7-28·6) and suicide (27·7%, 27·2-28·2). Living in the North, living alone, White British ethnicity, lower inward migration, economic inactivity, income deprivation in older people, employment in elementary occupations, unemployment, and education deprivation in adults were significantly associated with higher DoD rates in England. INTERPRETATION: DoD in England are spatially patterned, with northern regions experiencing a considerably higher burden of mortality from these avoidable causes. A key limitation is ecological bias. This study provides novel insights into area-level risk factors for DoD in England. FUNDING: National Institute for Health and Care Research (NIHR) Applied Research Collaboration Greater Manchester (ARC-GM).

Changes to healthcare utilisation and symptoms for common mental health problems over the first 21 months of the COVID-19 pandemic: parallel analyses of electronic health records and survey data in England.

Background: Few studies have investigated the effect of the COVID-19 pandemic on mental health beyond 2020. This study quantifies changes to healthcare utilisation and symptoms for common mental health problems over the pandemic's first 21 months. Methods: Parallel cohort studies using primary care database and survey data for adults (≥16 years) in England from January 2015 to December 2021: 16,551,842 from the Clinical Practice Research Datalink (CPRD) and 40,699 from the UK Household Longitudinal Survey (UKHLS). Interrupted time-series models estimated changes in monthly prevalence of presentations and prescribed medications for anxiety and depression (CPRD); and self-reported psychological distress (UKHLS). The pandemic period was divided into five phases: 1st Wave (April-May 2020); post-1st Wave (June-September 2020); 2nd Wave (October 2020-February 2021); post 2nd Wave (March-May 2021); 3rd Wave (June-December 2021). Findings: Primary care presentations for depression or anxiety dropped during the first wave (4.6 fewer monthly appointments per 1000 patients, 4.4-4.8) and remained lower than expected throughout follow-up. Self-reported psychological distress exceeded expected levels during the first (Prevalence Ratio = 1.378, 95% CI 1.289-1.459) and second waves (PR = 1.285, 1.189-1.377), returning towards expected levels during the third wave (PR = 1.038, 0.929-1.154). Increases in psychological distress and declines in presentations were greater for women. The decrease in primary care presentations for depression and anxiety exceeded that for physical health conditions (rheumatoid arthritis, diabetes, urinary tract infections). Anxiety and depression prescriptions returned to pre-pandemic levels during the second wave due to increased repeat prescriptions. Interpretation: Despite periods of distress during the pandemic, we did not find an enduring effect on common mental health problems. The fall in primary care presentations for anxiety or depression suggests changing healthcare utilisation for mental distress and a potential treatment gap. Funding: National Institute for Health and Care Research (NIHR).

A narrative review of recent tools and innovations toward automating living systematic reviews and evidence syntheses.

Living reviews are an increasingly popular research paradigm. The purpose of a 'living' approach is to allow rapid collation, appraisal and synthesis of evolving evidence on an important research topic, enabling timely influence on patient care and public health policy. However, living reviews are time- and resource-intensive. The accumulation of new evidence and the possibility of developments within the review's research topic can introduce unique challenges into the living review workflow. To investigate the potential of software tools to support living systematic or rapid reviews, we present a narrative review informed by an examination of tools contained on the Systematic Review Toolbox website. We identified 11 tools with relevant functionalities and discuss the important features of these tools with respect to different steps of the living review workflow. Four tools (NestedKnowledge, SWIFT-ActiveScreener, DistillerSR, EPPI-Reviewer) covered multiple, successive steps of the review process, and the remaining tools addressed specific components of the workflow, including scoping and protocol formulation, reference retrieval, automated data extraction, write-up and dissemination of data. We identify several ways in which living reviews can be made more efficient and practical. Most of these focus on general workflow management, or automation through artificial intelligence and machine-learning, in the screening process. More sophisticated uses of automation mostly target living rapid reviews to increase the speed of production or evidence maps to broaden the scope of the map. We use a case study to highlight some of the barriers and challenges to incorporating tools into the living review workflow and processes. These include increased workload, the need for organisation, ensuring timely dissemination and challenges related to the development of bespoke automation tools to facilitate the review process. We describe how current end-user tools address these challenges, and which knowledge gaps remain that could be addressed by future tool development. Dedicated web presences for automatic dissemination of in-progress evidence updates, rather than solely relying on peer-reviewed journal publications, help to make the effort of a living evidence synthesis worthwhile. Despite offering basic living review functionalities, existing end-user tools could be further developed to be interoperable with other tools to support multiple workflow steps seamlessly, to address broader automatic evidence retrieval from a larger variety of sources, and to improve dissemination of evidence between review updates.

Non-fatal overdose risk associated with prescribing opioid agonists concurrently with other medication: Cohort study conducted using linked primary care, secondary care and mortality records.

BACKGROUND AND AIMS: An apparently protective effect of opioid agonist treatment (OAT) on all-cause and cause-specific mortality risk has been widely reported. Non-fatal overdose (NFO) often precedes subsequent drug-poisoning deaths. We hypothesized that benzodiazepines, gabapentinoids, antipsychotics, antidepressants, Z-drugs or opioids increase the NFO risk when co-prescribed with OAT. DESIGN: We conducted a cohort study using the Clinical Practice Research Datalink GOLD and Aurum databases. The cohort was linked to Hospital Episode Statistics admitted patient care data (HES-APC), neighbourhood- and practice-level Index of Multiple Deprivation quintiles and mortality records from the Office for National Statistics. SETTING: Primary care in England. PARTICIPANTS: We studied patients with opioid use disorder, aged 18-64 years, who were prescribed OAT (15155 methadone and 5743 buprenorphine recipients) between Jan 1, 1998, and Dec 31, 2017. MEASUREMENTS: The main outcome examined was NFO risk during co-prescription of OAT with benzodiazepines, antipsychotics, gabapentinoids, antidepressants, Z-drugs or opioids. Overdose was defined according to International Classification of Diseases codes from the HES-APC data set. Negative binomial regression models were used to estimate weighted rate ratios (wRR) for NFO during co-prescription of OAT and benzodiazepines, antipsychotics, gabapentinoids, antidepressants, Z-drugs or opioids with periods of exclusive OAT usage. FINDINGS: Among 20 898 patients observed over 83 856 person-years, we found an elevated overdose risk that resulted in hospital admission during co-prescription of OAT with benzodiazepines [wRR: 1.45; 95% confidence interval (CI) = 1.26-1.67], gabapentinoids (wRR = 2.22; 95% CI = 1.77-2.79), Z-drugs (wRR = 1.60; 95% CI = 1.31-1.96), antipsychotics (wRR = 1.85; 95% CI = 1.53-2.25) and opioids (wRR = 1.28; 95% CI = 1.02-1.60). The risk ratio for antidepressant co-prescriptions was below unity (wRR = 0.90; 95% CI = 0.79-1.02) but this result was not statistically significant. CONCLUSION: Elevated risk of non-fatal overdose among opioid agonist treatment recipients is associated with concurrent use of medication prescribed for other reasons.

Temporal trends in eating disorder and self-harm incidence rates among adolescents and young adults in the UK in the 2 years since onset of the COVID-19 pandemic: a population-based study.

BACKGROUND: Self-harm and eating disorders share multiple risk factors, with onset typically during adolescence or early adulthood. We aimed to examine the incidence rates of these psychopathologies among young people in the UK in the 2 years following onset of the COVID-19 pandemic. METHODS: We conducted a population-based study using the primary care electronic health records of patients aged 10-24 years in the UK Clinical Practice Research Datalink (CPRD). The observation period was from Jan 1, 2010, to March 31, 2022. We calculated the monthly incidence rates of eating disorders and self-harm according to the first record of each outcome. On the basis of antecedent trends between January, 2010, and February, 2020, negative binomial regression models were fitted to predict monthly incidence rates after the pandemic began in March, 2020. Percentage differences between observed and expected incidence were calculated to indicate changes since the onset of the pandemic, with stratification by sex, age, and deprivation quintile. FINDINGS: The primary care health records of 9 184 712 patients aged 10-24 years (4 836 226 [52·7%] female patients and 4 348 486 [47·3%] male patients; n=1881 general practices) were included for analysis. The incidence rates of eating disorders and self-harm among girls were higher than expected between March 1, 2020, and March 31, 2022. The observed incidence of eating disorders was 42·4% (95% CI 25·7-61·3) higher than expected for girls aged 13-16 years, and 32·0% (13·3-53·8) higher than expected for girls aged 17-19 years, whereas other age groups showed little difference between observed and expected incidence. Similarly, the increase in self-harm incidence was driven by girls aged 13-16 years, for whom the observed incidence was 38·4% (20·7-58·5) higher than expected. By contrast, among boys in all age groups, the incidence rates of eating disorders and self-harm were lower than, or close to, the expected rates. Among boys, the observed incidence of eating disorders was 22·8% (9·2-34·4) lower than expected, and the observed incidence of self-harm was 11·5% (3·6-18·7) lower than expected. The estimated increases in eating disorder and self-harm incidence among girls aged 13-16 years were largely attributable to increases within less deprived communities. INTERPRETATION: Although causes are uncertain, increased incidence of eating disorder diagnoses and self-harm among teenage girls in the UK during the first 2 years of the COVID-19 pandemic highlight an urgent need for intervention. Early identification of mental health difficulties by primary care clinicians is necessary. Timely access to treatments and sufficient support from general practitioners and mental health services needs to be available to manage presenting problems and to prevent exacerbations of conditions. FUNDING: National Institute for Health and Care Research.

Recent GP consultation before death by suicide in middle-aged males: a national consecutive case series study.

BACKGROUND: Reducing suicide risk in middle-aged males (40-54 years) is a national priority. People have often presented to their GP within 3 months before suicide thus highlighting an opportunity for early intervention. AIM: To describe the sociodemographic characteristics and identify antecedents in middle-aged males who recently consulted a GP before dying by suicide. DESIGN AND SETTING: This study was a descriptive examination of suicide in a national consecutive sample of middle-aged males in 2017 in England, Scotland, and Wales. METHOD: General population mortality data were obtained from the Office for National Statistics and National Records of Scotland. Information was collected about antecedents considered relevant to suicide from data sources. Logistic regression examined associations with final recent GP consultation. Males with lived experience were consulted during the study. RESULTS: In 2017, a quarter (n = 1516) of all suicide deaths were in middle-aged males. Data were attained on 242 males: 43% had their last GP consultation within 3 months of suicide; and a third of these males were unemployed and nearly half were living alone. Males who saw a GP recently before suicide were more likely to have had recent self-harm and work-related problems than males who had not. Having a current major physical illness, recent self-harm, presenting with a mental health problem, and recent work-related issues were associated with having a last GP consultation close to suicide. CONCLUSION: Clinical factors were identified that GPs should be alert to when assessing middle-aged males. Personalised holistic management may have a role in preventing suicide in these individuals.

Accessing psychological therapies following self-harm: qualitative survey of patient experiences and views on improving practice.

BACKGROUND: Psychological therapies following an episode of self-harm should happen quickly to ensure patients receive the care they need and to reduce the likelihood of repetition. AIMS: We sought to explore patients' subjective experience of accessing psychological therapies following self-harm and their views on improving practice. METHOD: Between March and November 2019, we recruited 128 patients and 23 carers aged 18 years or over from 16 English mental health trusts, from community organisations and via social media. Thematic analyses were used to interpret the data. RESULTS: Participants reported long waiting times, multiple failed promises and rejection when trying to access psychological therapies following self-harm. Poor communication and information provision contributed to uncertainty, worsening mental health and further self-harm. Other barriers included: lack of tailored interventions, stigmatising responses, use of exclusionary thresholds to access services, and punitive approaches to treating these patients. Participant recommendations to improve access to psychological therapies included: (a) the importance of compassionate and informed staff; (b) having timely access to aftercare from well-funded and well-resourced teams; (c) continuity of care, improved communication, and support during waiting times and while navigating the referral process; (d) greater information on the availability and benefits of psychological therapies; and (e) greater choice and flexibility over interventions. CONCLUSION: Our findings identify long waiting times and inadequate service provision as barriers to high-quality and safe aftercare for patients who have self-harmed. Consistent with clinical guidelines, all patients should receive prompt aftercare and access to tailored psychological treatments following a self-harm episode.

Childhood predictors of self-harm, externalised violence and transitioning to dual harm in a cohort of adolescents and young adults.

BACKGROUND: The aetiology of dual harm (co-occurring self-harm and violence towards others) is poorly understood because most studies have investigated self-harm and violence separately. We aimed to examine childhood risk factors for self-harm, violence, and dual harm, including the transition from engaging in single harm to dual harm. METHODS: Data from the Avon Longitudinal Study of Parents and Children, a UK-based birth cohort study, were used to estimate prevalence of self-reported engagement in self-harm, violence, and dual harm at ages 16 and 22 years. Risk ratios were calculated to indicate associations across various self-reported childhood risk factors and risks of single and dual harm, including the transition from single harm at age 16 years to dual harm at age 22. RESULTS: At age 16 years, 18.1% of the 4176 cohort members had harmed themselves, 21.1% had engaged in violence towards others and 3.7% reported dual harm. At age 22 the equivalent prevalence estimates increased to 24.2, 25.8 and 6.8%, respectively. Depression and other mental health difficulties, drug and alcohol use, witnessing self-harm and being a victim of, or witnessing, violence were associated with higher risks of transitioning from self-harm or violence at age 16 to dual harm by age 22. CONCLUSIONS: Prevalence of dual harm doubled from age 16 to 22 years, highlighting the importance of early identification and intervention during this high-risk period. Several childhood psychosocial risk factors associated specifically with dual harm at age 16 and with the transition to dual harm by age 22 have been identified.

Family involvement, patient safety and suicide prevention in mental healthcare: ethnographic study.

BACKGROUND: Family involvement has been identified as a key aspect of clinical practice that may help to prevent suicide. AIMS: To investigate how families can be effectively involved in supporting a patient accessing crisis mental health services. METHOD: A multi-site ethnographic investigation was undertaken with two crisis resolution home treatment teams in England. Data included 27 observations of clinical practice and interviews with 6 patients, 4 family members, and 13 healthcare professionals. Data were analysed using framework analysis. RESULTS: Three overarching themes described how families and carers are involved in mental healthcare. Families played a key role in keeping patients safe by reducing access to means of self-harm. They also provided useful contextual information to healthcare professionals delivering the service. However, delivering a home-based service can be challenging in the absence of a supportive family environment or because of practical problems such as the lack of suitable private spaces within the home. At an organisational level, service design and delivery can be adjusted to promote family involvement. CONCLUSIONS: Findings from this study indicate that better communication and dissemination of safety and care plans, shared learning, signposting to carer groups and support for carers may facilitate better family involvement. Organisationally, offering flexible appointment times and alternative spaces for appointments may help improve services for patients.

Liaison psychiatry practitioners' views on accessing aftercare and psychological therapies for patients who present to hospital following self-harm: multi-site interview study.

BACKGROUND: Timely provision of aftercare following self-harm may reduce risks of repetition and premature death, but existing services are frequently reported as being inadequate. AIMS: To explore barriers and facilitators to accessing aftercare and psychological therapies for patients presenting to hospital following self-harm, from the perspective of liaison psychiatry practitioners. METHOD: Between March 2019 and December 2020, we interviewed 51 staff members across 32 liaison psychiatry services in England. We used thematic analyses to interpret the interview data. RESULTS: Barriers to accessing services may heighten risk of further self-harm for patients and burnout for staff. Barriers included: perceived risk, exclusionary thresholds, long waiting times, siloed working and bureaucracy. Strategies to increase access to aftercare included: (a) improving assessments and care plans via input from skilled staff working in multidisciplinary teams (e.g. including social workers and clinical psychologists); (b) supporting staff to focus on assessments as therapeutic intervention; (c) probing boundaries and involving senior staff to negotiate risk and advocate for patients; and (d) building relationships and integration across services. CONCLUSIONS: Our findings highlight practitioners' views on barriers to accessing aftercare and strategies to circumvent some of these impediments. Provision of aftercare and psychological therapies as part of the liaison psychiatry service were deemed as an essential mechanism for optimising patient safety and experience and staff well-being. To close treatment gaps and reduce inequalities, it is important to work closely with staff and patients, learn from experiences of good practice and implement change more widely across services.