Severe and common mental disorders and risk of emergency hospital admissions for ambulatory care sensitive conditions among the UK Biobank cohort.

BACKGROUND: People with mental disorders have worse physical health compared with the general population, which could be attributable to receiving poorer quality healthcare. AIMS: To examine the relationship between severe and common mental disorders and risk of emergency hospital admissions for ambulatory care sensitive conditions (ACSCs), and factors associated with increased risk. METHOD: Baseline data for England (N = 445 814) were taken from UK Biobank, which recruited participants aged 37-73 years during 2006-2010, and linked to hospital admission records up to 31 December 2019. Participants were grouped into those with a history of either schizophrenia, bipolar disorder, depression or anxiety, or no mental disorder. Survival analysis was used to assess the risk of hospital admission for ACSCs among those with mental disorders compared with those without, adjusting for factors in different domains (sociodemographic, socioeconomic, health and biomarkers, health-related behaviours, social isolation and psychological). RESULTS: People with schizophrenia had the highest (unadjusted) risk of hospital admission for ACSCs compared with those with no mental disorder (hazard ratio 4.40, 95% CI 4.04-4.80). People with bipolar disorder (hazard ratio 2.48, 95% CI 2.28-2.69) and depression or anxiety (hazard ratio 1.76, 95% CI 1.73-1.80) also had higher risk. Associations were more conservative when including all admissions, as opposed to first admissions only. The observed associations persisted after adjusting for a range of factors. CONCLUSIONS: People with severe mental disorders have the highest risk of preventable hospital admissions. Ensuring people with mental disorders receive adequate ambulatory care is essential to reduce the large health inequalities they experience.

Characterizing asset-based studies in public health: development of a framework.

Asset-based approaches are becoming more common within public health interventions; however, due to variations in terminology, it can be difficult to identify asset-based approaches. The study aimed to develop and test a framework that could distinguish between asset-based and deficit-based community studies, whilst acknowledging there is a continuum of approaches. Literature about asset-based and deficit-based approaches were reviewed and a framework was developed based on the Theory of Change model. A scoring system was developed for each of the five elements in the framework based on this model. Measurement of community engagement was built in, and a way of capturing how much the study involved an asset approach. The framework was tested on 13 studies examining community-based interventions to investigate whether it could characterize asset-based versus deficit-based studies. The framework demonstrated how much the principles underpinning asset-based approaches were present and distinguished between studies where the approach was deficit-based to those that had some elements of an asset-based approach. This framework is useful for researchers and policymakers when determining how much of an intervention is asset-based and identifying which elements of asset-based approaches lead to an intervention working.

Deficit-based approaches are a common approach to addressing public health issues within a community and involve identifying a health problem or need and finding a way to solve these. However, asset-based approaches, those that involve the community using its assets, or strengths, to enable community members to have more control over their health and wellbeing, are increasingly common. The terminology used to describe these methods varies greatly so it can be difficult to identify whether an approach is more deficit-based or asset-based. To address this a framework was developed to identify and score elements of asset-based studies. We did this by reviewing academic information describing asset-based approaches and built into this a scoring system. This framework was used to assess and measure the degree to which 13 community-based studies took an asset-based approach. The framework was able to identify studies which were more asset-based in their approach compared to those which were more deficit-focused, acknowledging that some studies may have elements of each approach. This framework will be useful for people working in health policy and research who want a resource to help identify asset-based approaches in practice and which aspects of the approach were important for its success in the community.

Association of environmental and socioeconomic indicators with serious mental illness diagnoses identified from general practitioner practice data in England: A spatial Bayesian modelling study.

BACKGROUND: The evidence is sparse regarding the associations between serious mental illnesses (SMIs) prevalence and environmental factors in adulthood as well as the geographic distribution and variability of these associations. In this study, we evaluated the association between availability and proximity of green and blue space with SMI prevalence in England as a whole and in its major conurbations (Greater London, Birmingham, Liverpool and Manchester, Leeds, and Newcastle). METHODS AND FINDINGS: We carried out a retrospective analysis of routinely collected adult population (≥18 years) data at General Practitioner Practice (GPP) level. We used data from the Quality and Outcomes Framework (QOF) on the prevalence of a diagnosis of SMI (schizophrenia, bipolar affective disorder and other psychoses, and other patients on lithium therapy) at the level of GPP over the financial year April 2014 to March 2018. The number of GPPs included ranged between 7,492 (April 2017 to March 2018) to 7,997 (April 2014 to March 2015) and the number of patients ranged from 56,413,719 (April 2014 to March 2015) to 58,270,354 (April 2017 to March 2018). Data at GPP level were converted to the geographic hierarchy unit Lower Layer Super Output Area (LSOA) level for analysis. LSOAs are a geographic unit for reporting small area statistics and have an average population of around 1,500 people. We employed a Bayesian spatial regression model to explore the association of SMI prevalence in England and its major conurbations (greater London, Birmingham, Liverpool and Manchester, Leeds, and Newcastle) with environmental characteristics (green and blue space, flood risk areas, and air and noise pollution) and socioeconomic characteristics (age, ethnicity, and index of multiple deprivation (IMD)). We incorporated spatial random effects in our modelling to account for variation at multiple scales. Across England, the environmental characteristics associated with higher SMI prevalence at LSOA level were distance to public green space with a lake (prevalence ratio [95% credible interval]): 1.002 [1.001 to 1.003]), annual mean concentration of PM2.5 (1.014 [1.01 to 1.019]), and closeness to roads with noise levels above 75 dB (0.993 [0.992 to 0.995]). Higher SMI prevalence was also associated with a higher percentage of people above 24 years old (1.002 [1.002 to 1.003]), a higher percentage of ethnic minorities (1.002 [1.001 to 1.002]), and more deprived areas. Mean SMI prevalence at LSOA level in major conurbations mirrored the national associations with a few exceptions. In Birmingham, higher average SMI prevalence at LSOA level was positively associated with proximity to an urban green space with a lake (0.992 [0.99 to 0.998]). In Liverpool and Manchester, lower SMI prevalence was positively associated with road traffic noise ≥75 dB (1.012 [1.003 to 1.022]). In Birmingham, Liverpool, and Manchester, there was a positive association of SMI prevalence with distance to flood zone 3 (land within flood zone 3 has ≥1% chance of flooding annually from rivers or ≥0.5% chance of flooding annually from the sea, when flood defences are ignored): Birmingham: 1.012 [1.000 to 1.023]; Liverpool and Manchester: 1.016 [1.006 to 1.026]. In contrast, in Leeds, there was a negative association between SMI prevalence and distance to flood zone 3 (0.959 [0.944 to 0.975]). A limitation of this study was because we used a cross-sectional approach, we are unable to make causal inferences about our findings or investigate the temporal relationship between outcome and risk factors. Another limitation was that individuals who are exclusively treated under specialist mental health care and not seen in primary care at all were not included in this analysis. CONCLUSIONS: Our study provides further evidence on the significance of socioeconomic associations in patterns of SMI but emphasises the additional importance of considering environmental characteristics alongside socioeconomic variables in understanding these patterns. In this study, we did not observe a significant association between green space and SMI prevalence, but we did identify an apparent association between green spaces with a lake and SMI prevalence. Deprivation, higher concentrations of air pollution, and higher proportion of ethnic minorities were associated with higher SMI prevalence, supporting a social-ecological approach to public health prevention. It also provides evidence of the significance of spatial analysis in revealing the importance of place and context in influencing area-based patterns of SMI.

Healthcare resource use and costs for people with type 2 diabetes mellitus with and without severe mental illness in England: longitudinal matched-cohort study using the Clinical Practice Research Datalink.

BACKGROUND: Approximately 60 000 people in England have coexisting type 2 diabetes mellitus (T2DM) and severe mental illness (SMI). They are more likely to have poorer health outcomes and require more complex care pathways compared with those with T2DM alone. Despite increasing prevalence, little is known about the healthcare resource use and costs for people with both conditions. AIMS: To assess the impact of SMI on healthcare resource use and service costs for adults with T2DM, and explore the predictors of healthcare costs and lifetime costs for people with both conditions. METHOD: This was a matched-cohort study using data from the Clinical Practice Research Datalink linked to Hospital Episode Statistics for 1620 people with comorbid SMI and T2DM and 4763 people with T2DM alone. Generalised linear models and the Bang and Tsiatis method were used to explore cost predictors and mean lifetime costs respectively. RESULTS: There were higher average annual costs for people with T2DM and SMI (£1930 higher) than people with T2DM alone, driven primarily by mental health and non-mental health-related hospital admissions. Key predictors of higher total costs were older age, comorbid hypertension, use of antidepressants, use of first-generation antipsychotics, and increased duration of living with both conditions. Expected lifetime costs were approximately £35 000 per person with both SMI and T2DM. Extrapolating nationally, this would generate total annual costs to the National Health Service of around £250 m per year. CONCLUSIONS: Our estimates of resource use and costs for people with both T2DM and SMI will aid policymakers and commissioners in service planning and resource allocation.

The association between socioeconomic disadvantage and children's working memory abilities: A systematic review and meta-analysis.

BACKGROUND AND OBJECTIVE: Working memory is an essential cognitive skill for storing and processing limited amounts of information over short time periods. Researchers disagree about the extent to which socioeconomic position affects children's working memory, yet no study has systematically synthesised the literature regarding this topic. The current review therefore aimed to investigate the relationship between socioeconomic position and working memory in children, regarding both the magnitude and the variability of the association. METHODS: The review protocol was registered on PROSPERO and the PRISMA checklist was followed. Embase, Psycinfo and MEDLINE were comprehensively searched via Ovid from database inception until 3rd June 2021. Studies were screened by two reviewers at all stages. Studies were eligible if they included typically developing children aged 0-18 years old, with a quantitative association reported between any indicator of socioeconomic position and children's working memory task performance. Studies were synthesised using two data-synthesis methods: random effects meta-analyses and a Harvest plot. KEY FINDINGS: The systematic review included 64 eligible studies with 37,737 individual children (aged 2 months to 18 years). Meta-analyses of 36 of these studies indicated that socioeconomic disadvantage was associated with significantly lower scores working memory measures; a finding that held across different working memory tasks, including those that predominantly tap into storage (d = 0.45; 95% CI 0.27 to 0.62) as well as those that require processing of information (d = 0.52; 0.31 to 0.72). A Harvest plot of 28 studies ineligible for meta-analyses further confirmed these findings. Finally, meta-regression analyses revealed that the association between socioeconomic position and working memory was not moderated by task modality, risk of bias, socioeconomic indicator, mean age in years, or the type of effect size. CONCLUSION: This is the first systematic review to investigate the association between socioeconomic position and working memory in children. Socioeconomic disadvantage was associated with lower working memory ability in children, and that this association was similar across different working memory tasks. Given the strong association between working memory, learning, and academic attainment, there is a clear need to share these findings with practitioners working with children, and investigate ways to support children with difficulties in working memory.

Assessing and predicting adolescent and early adulthood common mental disorders using electronic primary care data: analysis of a prospective cohort study (ALSPAC) in Southwest England.

OBJECTIVES: We aimed to examine agreement between common mental disorders (CMDs) from primary care records and repeated CMD questionnaire data from ALSPAC (the Avon Longitudinal Study of Parents and Children) over adolescence and young adulthood, explore factors affecting CMD identification in primary care records, and construct models predicting ALSPAC-derived CMDs using only primary care data. DESIGN AND SETTING: Prospective cohort study (ALSPAC) in Southwest England with linkage to electronic primary care records. PARTICIPANTS: Primary care records were extracted for 11 807 participants (80% of 14 731 eligible). Between 31% (3633; age 15/16) and 11% (1298; age 21/22) of participants had both primary care and ALSPAC CMD data. OUTCOME MEASURES: ALSPAC outcome measures were diagnoses of suspected depression and/or CMDs. Primary care outcome measure were Read codes for diagnosis, symptoms and treatment of depression/CMDs. For each time point, sensitivities and specificities for primary care CMD diagnoses were calculated for predicting ALSPAC-derived measures of CMDs, and the factors associated with identification of primary care-based CMDs in those with suspected ALSPAC-derived CMDs explored. Lasso (least absolute selection and shrinkage operator) models were used at each time point to predict ALSPAC-derived CMDs using only primary care data, with internal validation by randomly splitting data into 60% training and 40% validation samples. RESULTS: Sensitivities for primary care diagnoses were low for CMDs (range: 3.5%-19.1%) and depression (range: 1.6%-34.0%), while specificities were high (nearly all >95%). The strongest predictors of identification in the primary care data for those with ALSPAC-derived CMDs were symptom severity indices. The lasso models had relatively low prediction rates, especially in the validation sample (deviance ratio range: -1.3 to 12.6%), but improved with age. CONCLUSIONS: Primary care data underestimate CMDs compared to population-based studies. Improving general practitioner identification, and using free-text or secondary care data, is needed to improve the accuracy of models using clinical data.

Associations Between Maternal Depression, Antidepressant Use During Pregnancy, and Adverse Pregnancy Outcomes: An Individual Participant Data Meta-analysis.

OBJECTIVE: To evaluate the associations of depressive symptoms and antidepressant use during pregnancy with the risks of preterm birth, low birth weight, small for gestational age (SGA), and low Apgar scores. DATA SOURCES: MEDLINE, EMBASE, ClinicalTrials.gov, and PsycINFO up to June 2016. METHODS OF STUDY SELECTION: Data were sought from studies examining associations of depression, depressive symptoms, or use of antidepressants during pregnancy with gestational age, birth weight, SGA, or Apgar scores. Authors shared the raw data of their studies for incorporation into this individual participant data meta-analysis. TABULATION, INTEGRATION, AND RESULTS: We performed one-stage random-effects meta-analyses to estimate odds ratios (ORs) with 95% CIs. The 215 eligible articles resulted in 402,375 women derived from 27 study databases. Increased risks were observed for preterm birth among women with a clinical diagnosis of depression during pregnancy irrespective of antidepressant use (OR 1.6, 95% CI 1.2-2.1) and among women with depression who did not use antidepressants (OR 2.2, 95% CI 1.7-3.0), as well as for low Apgar scores in the former (OR 1.5, 95% CI 1.3-1.7), but not the latter group. Selective serotonin reuptake inhibitor (SSRI) use was associated with preterm birth among women who used antidepressants with or without restriction to women with depressive symptoms or a diagnosis of depression (OR 1.6, 95% CI 1.0-2.5 and OR 1.9, 95% CI 1.2-2.8, respectively), as well as with low Apgar scores among women in the latter group (OR 1.7, 95% CI 1.1-2.8). CONCLUSION: Depressive symptoms or a clinical diagnosis of depression during pregnancy are associated with preterm birth and low Apgar scores, even without exposure to antidepressants. However, SSRIs may be independently associated with preterm birth and low Apgar scores. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42016035711.

Inequalities in the identification and management of common mental disorders in the perinatal period: An equity focused re-analysis of a systematic review.

OBJECTIVE: Maternal mental health problems in the perinatal period can cause significant distress and loss of functioning, and can have lasting impact on children. People living in disadvantage are at risk of health inequalities, including for perinatal mental health. A review of current guidance found that overall implementation of the UK detection and management strategy was satisfactory, but equity was not considered in the review. Greater understanding of implementation equity is needed. We aimed to reanalyse an existing systematic review on the implementation of current guidance for the identification and management of perinatal mental health problems for equity. METHODS: Studies reporting the presence or absence of variation by a social, economic or demographic group were quality appraised and the presence and direction of disparity tabled. We calculated standardised absolute prevalence estimates for overall detection and management, and absolute and relative estimates by determinants grouping. A thematic analysis of the studies that examined potential reasons for disparity was undertaken. RESULTS: Six studies, with no major quality concerns, provided consistent evidence of reduced identification and management for ethnic minority women, both those who do, and do not, speak English. There was less consistent evidence of inequality for other axes of social disparity and for characteristics such as age, parity and partnership status. Explanations centred on difficulties that translation and interpretation added to communication, and hesitancy related to uncertainty from healthcare providers over cultural understanding of mental health problems. CONCLUSION: The identification and management of perinatal mental health problems is likely to be inequitable for ethnic minority women. Further systems-based research should focus on clarifying whether other groups of women are at risk for inequalities, understand how mismatches in perception are generated, and design effective strategies for remediation. Inequalities should be considered when reviewing evidence that underpins service planning and policy decision-making.

An approach to identifying young children with developmental disabilities via primary care records.

Background: Preschool aged children with developmental disabilities frequently receive a diagnosis of an indicator of disability, such as developmental delay, some time before receiving a definitive diagnosis at school age, such as autism spectrum disorder. The absence of a definitive diagnosis potentially underestimates the need for support by families with young disabled children. Our aim was to develop a two-part strategy to identify children with probable and potential developmental disabilities before the age of five in primary care records for a UK birth cohort, considering how the identification of only probable or potential developmental disability might also influence prevalence estimates. Methods: As part of a study of the effects of caring for young children with developmental disabilities on mothers' health and healthcare use, we developed a two-part strategy to identify: 1) children with conditions associated with significant disability and which can be diagnosed during the preschool period; and 2) children with diagnoses which could indicate potential disability, such as motor development disorder and developmental delay. The strategy, using Read codes, searched the electronic records of children in the Born in Bradford cohort with linked maternal and child sociodemographic information. The results were compared with national and Bradford prevalence estimates, where available. Results: We identified 83 children with disability conditions and 394 with potential disability (44 children had both a disability condition and an indicator of potential disability). When combined, they produced a developmental disability prevalence of 490 per 10,000 which is above the UK estimate for developmental disabilities in children under five (468 per 10,000) and within the 419-505 per 10,000 prevalence estimated for Bradford (for children aged 0-18). Conclusions: When only conditions diagnosed as developmental disabilities are used for case ascertainment, most of the young children with developmental disabilities likely to be diagnosed at later ages will be missed.

The Caregiver Health Effects of Caring for Young Children with Developmental Disabilities: A Meta-analysis.

OBJECTIVES: Mothers of school age and older children with developmental disabilities experience poorer health than mothers of typically developing children. This review assesses the evidence for the effect on mothers' health of caring for young children with developmental disabilities, and the influence of different disability diagnoses and socioeconomic status. METHODS: Medline, EMBASE, PsycINFO and CINAHL were searched. Studies measuring at least one symptom, using a quantitative scale, in mothers of preschool children (0-5 years) with and without a diagnosed developmental disability were selected. Random effects meta-analysis was performed, and predictive intervals reported due to high expected heterogeneity. RESULTS: The meta-analysis included 23 estimates of association from 14 retrospective studies for the outcomes of stress (n = 11), depressive symptoms (n = 9), general health (n = 2) and fatigue (n = 1). Caring for a child with a developmental disability was associated with greater ill health (standardised mean difference 0.87; 95% predictive interval - 0.47, 2.22). The largest association was for mixed developmental disabilities (1.36; - 0.64, 3.36) and smallest for Down syndrome (0.38; - 2.17, 2.92). There was insufficient socioeconomic information to perform subgroup analysis. The small number of studies and data heterogeneity limited the precision of the estimates of association and generalizability of the findings. CONCLUSIONS FOR PRACTICE: Mothers of young children with developmental disabilities may have poorer health than those with typically developing children. Research is needed to identify whether the relationship is causal and, if so, interventions that could reduce the negative effect of caregiving.

Associations between active travel and diet: cross-sectional evidence on healthy, low-carbon behaviours from UK Biobank.

OBJECTIVES: To examine whether there are associations between active travel and markers of a healthy, low-carbon (HLC) diet (increased consumption of fruit and vegetables (FV), reduced consumption of red and processed meat (RPM)). DESIGN: Cross-sectional analysis of a cohort study. SETTINGS: Population cohort of over 500 000 people recruited from 22 centres across the UK. Participants aged between 40 and 69 years were recruited between 2006 and 2010. PARTICIPANTS: 412 299 adults with complete data on travel mode use, consumption of FV and RPM, and sociodemographic covariates were included in the analysis. EXPOSURE MEASURES: Mutually exclusive mode or mode combinations of travel (car, public transport, walking, cycling) for non-work and commuting journeys. OUTCOME MEASURES: Consumption of FV measured as portions per day and RPM measured as frequency per week. RESULTS: Engaging in all types of active travel was positively associated with higher FV consumption and negatively associated with more frequent RPM consumption. Cycling exclusively or in combination with walking was most strongly associated with increased dietary consumption of FV and reduced consumption of RPM for both non-work and commuting journeys. Overall, the strongest associations were between non-work cycling and FV consumption (males: adjusted OR=2.18, 95% CI 2.06 to 2.30; females: adjusted OR=2.50, 95% CI 2.31 to 2.71) and non-work cycling and RPM consumption (males: adjusted OR=0.57, 95% CI 0.54 to 0.60; females: adjusted OR=0.54, 95% CI 0.50 to 0.59). Associations were generally similar for both commuting and non-work travel, and were robust to adjustment with sociodemographic and behavioural factors. CONCLUSIONS: There are strong associations between engaging in active travel, particularly cycling, and HLC dietary consumption, suggesting that these HLC behaviours are related. Further research is needed to better understand the drivers and dynamics between these behaviours within individuals, and whether they share common underlying causes.

Exploring Severe Mental Illness and Diabetes: Protocol for a Longitudinal, Observational, and Qualitative Mixed Methods Study.

BACKGROUND: The average life expectancy for people with a severe mental illness (SMI) such as schizophrenia or bipolar disorder is 15 to 20 years less than that for the population as a whole. Diabetes contributes significantly to this inequality, being 2 to 3 times more prevalent in people with SMI. Various risk factors have been implicated, including side effects of antipsychotic medication and unhealthy lifestyles, which often occur in the context of socioeconomic disadvantage and health care inequality. However, little is known about how these factors may interact to influence the risk of developing diabetes and poor diabetic outcomes, or how the organization and provision of health care may contribute. OBJECTIVE: This study aims to identify the determinants of diabetes and to explore variation in diabetes outcomes for people with SMI. METHODS: This study will employ a concurrent mixed methods design combining the interrogation of electronic primary care health records from the Clinical Practice Research Datalink (CPRD GOLD) with qualitative interviews with adults with SMI and diabetes, their relatives and friends, and health care staff. The study has been funded for 2 years, from September 2017 to September 2019, and data collection has recently ended. RESULTS: CPRD and linked health data will be used to explore the association of sociodemographics, illness, and health care-related factors with both the development and outcomes of type 2 diabetes in people with SMI. Experiences of managing the comorbidity and accessing health care will be explored through qualitative interviews using topic guides informed by evidence synthesis and expert consultation. Findings from both datasets will be merged to develop a more comprehensive understanding of diabetes risks, interventions, and outcomes for people with SMI. Findings will be translated into recommendations for interventions and services using co-design workshops. CONCLUSIONS: Improving diabetes outcomes for people with SMI is a high-priority area nationally and globally. Understanding how risk factors combine to generate high prevalence of diabetes and poor diabetic outcomes for this population is a necessary first step in developing health care interventions to improve outcomes for people with diabetes and SMI. TRIAL REGISTRATION: ClinicalTrials.gov NCT03534921; https://clinicaltrials.gov/ct2/show/NCT03534921.

Case-finding for common mental disorders in primary care using routinely collected data: a systematic review.

PURPOSE: Case-finding for common mental disorders (CMD) in routine data unobtrusively identifies patients for mental health research. There is absence of a review of studies examining CMD-case-finding accuracy in routine primary care data. CMD-case definitions include diagnostic/prescription codes, signs/symptoms, and free text within electronic health records. This systematic review assesses evidence for case-finding accuracy of CMD-case definitions compared to reference standards. METHODS: PRISMA-DTA checklist guided review. Eligibility criteria were outlined prior to study search; studies compared CMD-case definitions in routine primary care data to diagnostic interviews, screening instruments, or clinician judgement. Studies were quality assessed using QUADAS-2. RESULTS: Fourteen studies were included, and most were at high risk of bias. Nine studies examined depressive disorders and seven utilised diagnostic interviews as reference standards. Receiver operating characteristic (ROC) planes illustrated overall variable case-finding accuracy across case definitions, quantified by Youden's index. Forest plots demonstrated most case definitions provide high specificity. CONCLUSION: Case definitions effectively identify cases in a population with good accuracy and few false positives. For 100 anxiety cases, identified using diagnostic codes, between 12 and 20 will be false positives; 0-47 cases will be missed. Sensitivity is more variable and specificity is higher in depressive cases; for 100 cases identified using diagnostic codes, between 0 and 87 will be false positives; 4-18 cases will be missed. Incorporating context to case definitions may improve overall case-finding accuracy. Further research is required for meta-analysis and robust conclusions.

Glucose, cholesterol and blood pressure in type II diabetes: A longitudinal observational study comparing patients with and without severe mental illness.

WHAT IS KNOWN ON THE SUBJECT?: People with severe mental illness (SMI) have a life expectancy of 15-20 years less than the general population, partly due to increased risk of physical disease, including type II diabetes (T2DM) and cardiovascular disease. Little is known about changes in cardiovascular risk factors over time in people with both T2DM and SMI compared to those with T2DM and no SMI. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: We investigated whether levels of cardiovascular risk factors, cholesterol, HbA1c, systolic and diastolic blood pressure associated with adverse clinical outcomes are different in T2DM patients with and without SMI. We found significant differences in systolic blood pressure and HbA1c between the two groups. Fifty-five percent and twenty-nine percent of T2DM patients with comorbid SMI are at increased risk of adverse clinical outcomes due to sub-optimal HbA1c and systolic blood pressure levels, respectively. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Many patients with T2DM and SMI have higher levels of cardiovascular risk compared to patients with T2DM only, and good management of risk factors is therefore particularly important in patients with both conditions. Achieving better control of HbA1c levels is likely to be central to addressing inequalities in outcomes for patients with both SMI and T2DM. Abstract Introduction Patients with both severe mental illness (SMI) and type II diabetes (T2DM) have lower life expectancy than patients with T2DM alone, partly due to poor control of cardiovascular risk factors in comorbid patients. Aim To compare levels of cholesterol, HbA1c and blood pressure in T2DM patients with and without SMI. Method We analysed longitudinal clinical records of 30,353 people with T2DM (657 with SMI; 29,696 controls without SMI) between 2001 and 2013 using the Clinical Practice Research Datalink (CPRD). We used mixed-effects regression models to compare cardiovascular risk factors between SMI and controls. Results Patients with SMI had lower mean systolic blood pressure (SBP; ß: -2.49; SE = .45 p = <.01) and were more likely to have extreme (high and low) values of HbA1c and SBP (OR: 1.38, 95% CI: 1.16, 1.64 and 1.76:1.40, 2.21, respectively). Discussion People with T2DM and SMI have similar average values of cardiovascular risk factors to people with T2DM alone but are more likely to have values of HbA1c and SBP indicating increased risk of adverse clinical outcomes. Implications for Practice Improved management of cardiovascular risk factors in general, glycaemic control in particular, is central to addressing the increased risk of adverse outcomes in people with both SMI and T2DM.

Discrediting experiences: outcomes of eligibility assessments for claimants with psychiatric compared with non-psychiatric conditions transferring to personal independence payments in England.

BACKGROUND: Recent qualitative research suggests that changes to the way eligibility for welfare payments is determined in the UK may be detrimental to claimants with mental illnesses. No large-scale analysis has been undertaken to date.AimsTo examine differences between claimants with psychiatric conditions compared with non-psychiatric conditions in the number of claims disallowed following a personal independence payment (PIP) eligibility assessment for existing disability living allowance (DLA) claimants. METHOD: Administrative data on DLA claimants with psychiatric conditions transferring to PIP between 2013 and 2016 was compared with claimants with non-psychiatric conditions to explore differences in the number of claims disallowed following an eligibility assessment. RESULTS: Claimants with a mental illness were 2.40 (95% CI 2.36-2.44) times more likely to have their existing DLA entitlement removed following a PIP eligibility assessment than claimants with musculoskeletal conditions, neurological conditions and diabetes. CONCLUSIONS: PIP eligibility assessment outcomes show marked differences by health condition, raising questions as to whether the process is equitable.Declaration of interestNone.

Adjuvant therapy with antidepressants for the management of inflammatory bowel disease.

BACKGROUND: Symptoms of anxiety and depression are common in inflammatory bowel disease (IBD). Antidepressants are taken by approximately 30% of people with IBD. However, there are no current guidelines on treating co-morbid anxiety and depression in people with IBD with antidepressants, nor are there clear data on the role of antidepressants in managing physical symptoms of IBD. OBJECTIVES: The objectives were to assess the efficacy and safety of antidepressants for treating anxiety and depression in IBD, and to assess the effects of antidepressants on quality of life (QoL) and managing disease activity in IBD. SEARCH METHODS: We searched MEDLINE; Embase, CINAHL, PsycINFO, CENTRAL, and the Cochrane IBD Group Specialized Register from inception to 23 August 2018. Reference lists, trials registers, conference proceedings and grey literature were also searched. SELECTION CRITERIA: Randomised controlled trials (RCTs) and observational studies comparing any type of antidepressant to placebo, no treatment or an active therapy for IBD were included. DATA COLLECTION AND ANALYSIS: Two authors independently screened search results, extracted data and assessed bias using the Cochrane risk of bias tool. We used the Newcastle-Ottawa Scale to assess quality of observational studies. GRADE was used to evaluate the certainty of the evidence supporting the outcomes. Primary outcomes included anxiety and depression. Anxiety was assessed using the Hospital Anxiety and Depression Scale (HADS) or the Hamilton Anxiety Rating Scale (HARS). Depression was assessed using HADS or the Beck Depression Inventory. Secondary outcomes included adverse events (AEs), serious AEs, withdrawal due to AEs, quality of life (QoL), clinical remission, relapse, pain, hospital admissions, surgery, and need for steroid treatment. QoL was assessed using the WHO-QOL-BREF questionnaire. We calculated the risk ratio (RR) and corresponding 95% confidence intervals (CI) for dichotomous outcomes. For continuous outcomes, we calculated the mean difference (MD) with 95% CI. A fixed-effect model was used for analysis. MAIN RESULTS: We included four studies (188 participants). Two studies were double-blind RCTs, one was a non-randomised controlled trial, and one was an observational retrospective case-matched study. The age of participants ranged from 27 to 37.8 years. In three studies participants had quiescent IBD and in one study participants had active or quiescent IBD. Participants in one study had co-morbid anxiety or depression. One study used duloxetine (60 mg daily), one study used fluoxetine (20 mg daily), one study used tianeptine (36 mg daily), and one study used various antidepressants in clinical ranges. Three studies had placebo controls and one study had a no treatment control group. One RCT was rated as low risk of bias and the other was rated as high risk of bias (incomplete outcome data). The non-randomised controlled trial was rated as high risk of bias (random sequence generation, allocation concealment, blinding). The observational study was rated as high methodological quality, but is still considered to be at high risk of bias given its observational design.The effect of antidepressants on anxiety and depression is uncertain. At 12 weeks, the mean anxiety score in antidepressant participants was 6.11 + 3 compared to 8.5 + 3.45 in placebo participants (MD -2.39, 95% -4.30 to -0.48, 44 participants, low certainty evidence). At 12 months, the mean anxiety score in antidepressant participants was 3.8 + 2.5 compared to 4.2 + 4.9 in placebo participants (MD -0.40, 95% -3.47 to 2.67, 26 participants; low certainty evidence). At 12 weeks, the mean depression score in antidepressant participants was 7.47 + 2.42 compared to 10.5 + 3.57 in placebo participants (MD -3.03, 95% CI -4.83 to -1.23, 44 participants; low certainty evidence). At 12 months, the mean depression score in antidepressant participants was 2.9 + 2.8 compared to 3.1 + 3.4 in placebo participants (MD -0.20, 95% -2.62 to 2.22, 26 participants; low certainty evidence).The effect of antidepressants on AEs is uncertain. Fifty-seven per cent (8/14) of antidepressant participants group reported AEs versus 25% (3/12) of placebo participants (RR 2.29, 95% CI 0.78 to 6.73, low certainty evidence). Commonly reported AEs include nausea, headache, dizziness, drowsiness, sexual problems, insomnia, fatigue, low mood/anxiety, dry mouth, muscle spasms and hot flushes. None of the included studies reported any serious AEs. None of the included studies reported on pain.One study (44 participants) reported on QoL at 12 weeks and another study (26 participants) reported on QoL at 12 months. Physical, Psychological, Social and Environmental QoL were improved at 12 weeks compared to placebo (all low certainty evidence). There were no group differences in QoL at 12 months (all low certainty evidence). The effect of antidepressants on maintenance of clinical remission and endoscopic relapse is uncertain. At 12 months, 64% (9/14) of participants in the antidepressant group maintained clinical remission compared to 67% (8/12) of placebo participants (RR 0.96, 95% CI 0.55 to 1.69; low certainty evidence). At 12 months, none (0/30) of participants in the antidepressant group had endoscopic relapse compared to 10% (3/30) of placebo participants (RR 0.14, 95% CI 0.01 to 2.65; very low certainty evidence). AUTHORS' CONCLUSIONS: The results for the outcomes assessed in this review are uncertain and no firm conclusions regarding the efficacy and safety of antidepressants in IBD can be drawn. Future studies should employ RCT designs, with a longer follow-up and develop solutions to address attrition. Inclusion of objective markers of disease activity is strongly recommended as is testing antidepressants from different classes, as at present it is unclear if any antidepressant (or class thereof) has differential efficacy.

Development and validation of a search filter to identify equity-focused studies: reducing the number needed to screen.

BACKGROUND: Health inequalities, worse health associated with social and economic disadvantage, are reported by a minority of research articles. Locating these studies when conducting an equity-focused systematic review is challenging due to a deficit in standardised terminology, indexing, and lack of validated search filters. Current reporting guidelines recommend not applying filters, meaning that increased resources are needed at the screening stage. METHODS: We aimed to design and test search filters to locate studies that reported outcomes by a social determinant of health. We developed and expanded a 'specific terms strategy' using keywords and subject headings compiled from recent systematic reviews that applied an equity filter. A 'non-specific strategy' was compiled from phrases used to describe equity analyses that were reported in titles and abstracts, and related subject headings. Gold standard evaluation and validation sets were compiled. The filters were developed in MEDLINE, adapted for Embase and tested in both. We set a target of 0.90 sensitivity (95% CI; 0.84, 0.94) in retrieving 150 gold standard validation papers. We noted the reduction in the number needed to screen in a proposed equity-focused systematic review and the proportion of equity-focused reviews we assessed in the project that applied an equity filter to their search strategy. RESULTS: The specific terms strategy filtered out 93-95% of all records, and retrieved a validation set of articles with a sensitivity of 0.84 in MEDLINE (0.77, 0.89), and 0.87 (0.81, 0.92) in Embase. When combined (Boolean 'OR') with the non-specific strategy sensitivity was 0.92 (0.86, 0.96) in MEDLINE (Embase 0.94; 0.89, 0.97). The number needed to screen was reduced by 77% by applying the specific terms strategy, and by 59.7% (MEDLINE) and 63.5% (Embase) by applying the combined strategy. Eighty-one per cent of systematic reviews filtered studies by equity. CONCLUSIONS: A combined approach of using specific and non-specific terms is recommended if systematic reviewers wish to filter studies for reporting outcomes by social determinants. Future research should concentrate on the indexing standardisation for equity studies and further development and testing of both specific and non-specific terms for accurate study retrieval.

A systematic review of maternal antidepressant use in pregnancy and short- and long-term offspring's outcomes.

The relative safety of antidepressants during pregnancy has received substantial attention, but most syntheses fail to account for mental illness effects. We aimed to evaluate the literature comparing low birth weight (LBW) and neurodevelopmental and neurobehavioural outcomes for children whose mothers took antidepressants in pregnancy compared to those whose mothers had common mental disorders, or symptoms, but who did not take antidepressants during pregnancy. A systematic review was conducted searching PubMed, MEDLINE, PsycINFO and Embase in January 2015. A modified version of the Newcastle Ottawa Scale was used to assess study quality. Eleven cohort studies were included: four reporting a LBW outcome (all with higher risk of bias) and seven reporting a neurodevelopmental outcome (five with higher risk of bias). We found only limited evidence of gestational age-adjusted LBW in exposed children in two studies which had a higher risk of bias and did not control for depressive symptom severity. Only five (7.5%) neurodevelopmental outcomes and one (12.5%) neurobehavioural outcome showed evidence of a statistically significant effect, three out of four were from studies with a higher risk of bias. There is little robust evidence indicating a detrimental effect of antidepressant use during pregnancy on LBW and neurodevelopmental and neurobehavioural outcomes. More rigorous study designs are needed.

Closing the mortality gap for severe mental illness: are we going in the right direction?

In this editorial, we discuss a UK-based cohort study examining the mortality gap for people with schizophrenia and bipolar disorder from 2000 to 2014. There have been concerted efforts to improve physical and mental healthcare for this population in recent decades. Have these initiatives reduced mortality and 'closed the gap'?