Diagnosis Of Severe Mental Illness Research Articles

Characterizing personal recovery in severe mental illness: French psychometric validation of the Questionnaire about the Process of Recovery (QPR-Fr).

The support of the personal recovery of people with lived experience of mental illness is a major issue in clinical practice. Thus, a valid instrument to assess personal recovery is needed. The present study aimed to validate the French translation of the 22-item Questionnaire about the Process of Recovery (QPR-Fr). A convenience sample of 222 participants reporting a severe mental illness diagnosis was recruited online. Psychometric properties of the QPR-Fr were evaluated. A confirmatory factor analysis was conducted for structural validity. Internal consistency and test-retest reliability were assessed. To test for convergent validity, we conducted multiple linear regression analysis to explore the QPR-Fr associations with psychological distress and the CHIME framework (with Connectedness, Hope and optimism about the future, Identity, Meaning in life, and Empowerment) proxy measures (perceived social support, hope, self-esteem, quality of life, and empowerment). An adequate fit was found for a 19-item unidimensional factor structure. Internal consistency was excellent. Test reliability was good. The QPR-Fr total score was significantly positively associated with quality of life, hope, self-esteem, and social support satisfaction and negatively associated with psychological distress. No significant association was found with social support availability nor with empowerment. This study provides additional data to support the cross-cultural validity of the Questionnaire about the Process of Recovery. The QPR-Fr is a valid and reliable tool to assess personal recovery. Practitioners could use the QPR-Fr to assess personal recovery in collaboration with people with lived experience. Convergent validity with CHIME proxy measures supports the validity of the CHIME framework in a French cultural context. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Digital advance care planning with severe mental illness: a retrospective observational cohort analysis of the use of an electronic palliative care coordination system

BackgroundPeople living with severe mental illness (SMI) face significant health inequalities, including in palliative care. Advance Care Planning (ACP) is widely recommended by palliative care experts and could reduce inequalities. However, implementing ACP with this group is challenging. Electronic Palliative Care Coordination Systems such as Coordinate my Care (CMC) have been introduced to support documentation and sharing of ACP records with relevant healthcare providers. This study explores the use of CMC amongst those with SMI and aims to describe how those with a primary diagnosis of SMI who have used CMC for ACP, and makes recommendations for future research and policy.MethodA retrospective observational cohort analysis was completed of CMC records created 01/01/2010–31/09/2021 where the service user had a primary diagnosis of SMI, with no exclusions based on comorbidities. Descriptive statistics were used to report on characteristics including: age, diagnosis, individual prognosis and resuscitation status. Thematic analysis was used to report on the content of patients’ statements of preference.Results1826 records were identified. Of this sample most (60.1%) had capacity to make treatment decisions, 47.8% were aged under 70, 86.7% were given a prognosis of ‘years’ and most (63.1%) remained for full cardio-pulmonary resuscitation in the event of cardio-pulmonary arrest. Records with completed statements of preferences (20.3%) contained information about preferences for physical and mental health treatment care as well as information about patient presentation and capacity, although most were brief and lacked expression of patient voice.DiscussionCompared to usual CMC users, the cohort of interest are relatively able, younger people using CMC to make long-term plans for active physical and mental health treatment. ADM is a service user-driven process, and so it was expected that authentic patient voice would be expressed within statements of preference, however this was mostly not achieved.ConclusionsThis digital tool is being used by people with SMI but to plan for more than palliative care. This cohort and supporting professionals have used CMC to plan for longer term physical and mental healthcare. Future research and policy should focus on development of tailored digital tools for people with SMI to plan for palliative, physical and mental healthcare and support expression of patient voice.

Why do patients want medication free treatment for psychosis? An explorative study on reasons for applying to medication free programs

BackgroundA focus on patient’s and service user’s perspectives regarding long-term antipsychotic treatment led to a declaration from the Norwegian Ministry of Health in 2015 to offer treatment without psychotropic medication in mental health as a voluntary option in all four health care regions. In the northernmost region, a 6-bed inpatient ward unit was established, uniquely designed to give people with severe mental illness the possibility to choose such treatment. Only voluntary admissions were accepted. The aim of the present study was to explore the motivation for applying for medication free treatment among patients with several years of treatment history due to psychosis.MethodWe performed nineteen semi-structured, in-depth interviews with persons having at least one admission at the medication free treatment ward during the period 01.01.17 – 17.10.2021. The interviews were recorded, transcribed and analysed using computer-assisted qualitative data analysis software (NVivo). Systematic Text Condensation was applied, with analysis of data from the first interview. Exploration of connections, similarities and nuances was performed through axial coding with continuous comparison of data and memo writing, followed by focused coding identifying core concepts.ResultsAll participants had a diagnosis of severe mental illness and a history of use of antipsychotics throughout many years. The motivation to apply for medication free treatment was complex. Negative experiences with medication were described, but also positive. Many had tried to taper off before, but described this as a lonely and difficult process. Five core concepts were formed and developed from the participants’ narratives: 1) Medication experiences, 2) Developing illness, 3) Treatment in general, 4) Social life and 4) Growing up.ConclusionThe concept of medication free treatment represents a salutogenetic hope for change, closely linked to self-efficacy and an experience of mastery. Potential conflicts concerning guidelines or evidence on medication does not come forward as important. Support from family and professionals is crucial, in contrast to the feeling of being alone when hoping for change. Motivational factors are closely linked to the concept of recovery, where interaction happens on both an individual and a structural level.

Hair cortisol concentrations in pregnant women with bipolar, depressive, or schizophrenic spectrum disorders.

Maternal cortisol levels in pregnancy may support the growth of or adversely affect fetal organs, including the brain. While moderate cortisol levels are essential for fetal development, excessive or prolonged elevations may have negative health consequences for both the mother and the offspring. Little is known about predictors of altered hypothalamic-pituitary-adrenal (HPA) axis activity during pregnancy. This study examined maternal hair cortisol concentration (HCC) in the 3rd trimester of pregnancy in relation to severe psychopathology. Hair samples were collected from 69 women, 32 with a lifetime diagnosis of severe mental disorders (bipolar I or II disorder, moderate or severe depressive disorder, schizophrenic spectrum disorder), and 37 non-clinical controls. Hair samples were collected during the 3rd trimester, and liquid chromatography tandem mass spectrometry was used for cortisol assessment. Psychiatric diagnosis and current level of symptomatic functioning were assessed using the structured clinical interview from the DSM-5 and the global assessment of functioning scale. Women with a lifetime diagnosis of severe mental illness had significantly elevated HCC compared to controls. Poorer current symptomatic functioning was also significantly associated with elevated HCC in pregnancy. The implications of alterations in HCC on both maternal and infant health need further study.

Understanding alcohol use and changes in drinking habits among people with a severe mental illness: a qualitative framework analysis study.

Individuals with a severe mental illness (SMI) are more likely to drink at harmful levels or abstain. While it is known that drinking patterns change over time, the reasons for this among those with a SMI are unclear. This study aimed to (i) explore the experiences with alcohol, particularly in relation to mental health symptoms, and (ii) how drinking patterns have changed over time, among individuals who have a SMI diagnosis, who either currently drink alcohol or no longer drink. One-to-one semi-structured telephone interviews were conducted to address the study aims. Current drinkers' alcohol use was assessed using the Alcohol Use Disorder Identification Test. A framework analysis was used to address the study aims with a specific focus on the differences in the experiences with alcohol use between current and former drinkers. 16 participants were interviewed, and five themes were developed. The analysis highlighted how alcohol was increasingly used to cope with (i) trauma, (ii) SMI-related symptoms, or (iii) stress. Among those with a SMI, non-drinking was facilitated through declines in SMI-related symptoms, previous negative consequences due to alcohol and changing the social environment. Current drinking habits were facilitated through changes in the reasons for drinking and adopting different alcohol moderation techniques. Among those with a SMI diagnosis and who either currently drink alcohol or no longer drink, our findings support the self-medication hypothesis and drinking motives model. However, our findings indicate the need for further development of drinking to cope with a focus on symptoms of a SMI and trauma. Our findings also have implications on specialist alcohol and mental health services, the need to improve individuals' understanding of SMI, and the need to identify reasons for drinking among those with a recent diagnosis of a SMI.

Use of co-production to explore food insecurity in adults with severe mental illness living in Northern England: a mixed-methods study

BackgroundPeople living with severe mental illness experience premature mortality from diet-related preventable illnesses. Yet, little research focuses on food insecurity with adults with severe mental illness. This coproduced study aimed to understand the experiences of adults with severe mental illness and food insecurity and strategies to help. MethodsFollowing a pragmatism philosophical foundation, we undertook a mixed-methods study involving a survey (online and paper versions) and one-to-one semi-structured interviews (online and telephone) during March 7 to Dec 16, 2022. We recruited participants via existing severe mental illness service user groups and social media in Northern England. Eligible participants were adults (≥18 years) self-reporting a diagnosis of severe mental illness. Ethics approval was obtained from Teesside University and the Health Research Authority (Reference: 22/NR/0010; IRAS ID: 306281), with informed consent given. The target sample size, accounting for a typical survey response rate for people with severe mental illness of 10–20%, was 135. A target sample of 20 interviews was agreed to capture a range of views. Food insecurity was defined as the lack of financial resources needed to ensure someone has reliable access to enough food to meet their dietary, nutritional, and social needs. It is sometimes called food poverty. Quantitative data were analysed using descriptive statistics and binary logistic regression and qualitative data using thematic analysis. Findings135 participants completed the survey (mean age 44·67 years [SD 14·1]). Participants were predominantly male (53%, n=72), white (87%, n=117), and from the Yorkshire region (50%, n=68). Overall, prevalence of food insecurity was 50·4% (n=68). Discussion across 13 interviews found food insecurity being a long-rooted experience, including familial and intergenerational experiences of food insecurity: “I grew up… with this insecurity around food” (P002). Recommendations for tackling food insecurity centred on food banks, increasing accessibility, and reducing stigma: “I would like to get more information on where the centres are...” (P006) and “I was referred to, erm, a foodbank … but it's still the stigma that's attached to it.” (P002). InterpretationWe found a higher prevalence of food insecurity in this study than in the general population (being 15%), yet limited research with adults with severe mental illness perpetuates food insecurity intergenerational injustices. Food insecurity should be eliminated. However, in the meanwhile, there should be widespread easy access to food banks offering nutritional foods. Limitations of this research include not reaching target sample size and a lack of ethnic diversity. FundingNational Institute of Health and Care Research (NIHR) Research for Patient Benefit.

Socio-demographic and clinical characteristics associated with retention in care among adults living with HIV and severe mental illness and reasons for loss to follow-up in Uganda: a mixed-methods study

ObjectiveThis study aimed to determine the socio-demographic and clinical characteristics associated with retention in care and reasons for loss to follow-up (LTFU) among people living with HIV (PLWH) with a...

Clinical characteristics and outcomes of people with severe mental disorders hospitalized due to COVID-19: A nationwide population-based study

ObjetiveHospitalized COVID-19 patients with severe mental illness (SMI) have worse outcomes than counterparts without SMI. Barriers in access to acute care medical procedures among SMI patients may partially explain this phenomenon. Here, we examined differences in critical care admission and in-hospital mortality between hospitalized COVID-19 patients with and without SMI. MethodsThis population-based study used Spain's nationwide electronic health records. Based on International Classification Diseases, Tenth Revision, ICD-10-CM codes, we identified all patients aged ≥15 years hospitalized due to COVID-19 between July 1st-December 31st, 2020, and compared patients with and without SMI in terms of (i) critical care admission and (ii) in-hospital mortality – overall and stratified by age. We used logistic regression models including sex, age, and comorbidity burden as measured by Charlson Comorbidity Index Score as covariates. ResultsOf 118,691 hospital admissions due to COVID-19 of people aged ≥15 years, 1512 (1.3%) included a diagnosis of SMI. Compared to non-SMI patients, SMI patients had higher in-hospital mortality (OR,95%CI: 1.63,1.42–1.88) and were less frequently admitted to critical care (OR,95%CI: 0.70,0.58–0.85). Admission to critical care in SMI patients was lower than for non-SMI counterparts only among individuals aged ≥60 years. The magnitude of the difference in in-hospital mortality between SMI and non-SMI patients decreased as age increased. ConclusionsIndividuals with SMI had reduced critical care admission and increased in-hospital mortality compared non-SMI counterparts, suggesting that differences in delivery of acute care medical procedures may partially explain higher risk of negative outcomes among COVID-19 patients with SMI.

Adaptation of a Mobile Interactive Obesity Treatment Approach for Early Severe Mental Illness: Protocol for a Mixed Methods Implementation and Pilot Randomized Controlled Trial

Background Obesity is common in individuals with severe mental illness (SMI), contributing to a significantly shortened lifespan when compared to the general population. Available weight loss treatments have attenuated efficacy in this population, underscoring the importance of prevention and early intervention. Objective Here, we describe a type 1 hybrid study design for adapting and pilot-testing an existing mobile health intervention for obesity prevention in individuals with early SMI and Class I or early-stage obesity, defined as a BMI of 30-35. Methods An existing, evidence-based interactive obesity treatment approach using low-cost, semiautomated SMS text messaging was selected for adaptation. Community mental health clinics and Clubhouse settings in Eastern Missouri and South Florida were identified to participate. This study has the following 3 aims. First, using the Enhanced Framework for Reporting Adaptations and Modifications to Evidence-based interventions, contextual aspects of the clinical and digital treatment environments are identified for adaptation, considering 5 main stakeholder groups (clinical administrators, prescribing clinicians, case managers, nurses, and patients). Following a 2-week trial of unadapted SMS text messaging, Innovation Corps methods are used to discover needed intervention adaptations by stakeholder group and clinical setting. Second, adaptations to digital functionality and intervention content will be made based on themes identified in aim 1, followed by rapid usability testing with key stakeholders. A process for iterative treatment adaptation will be developed for making unplanned modifications during the aim 3 implementation pilot study. Individuals working in partner community mental health clinics and Clubhouse settings will be trained in intervention delivery. Third, in a randomized pilot and feasibility trial, adults with 5 years or less of treatment for an SMI diagnosis will be randomized 2:1 to 6 months of an adapted interactive obesity treatment approach or to an attentional control condition, followed by a 3-month extension phase of SMS text messages only. Changes in weight, BMI, and behavioral outcomes, as well as implementation challenges, will be evaluated at 6 and 9 months. Results Institutional review board approval for aims 1 and 2 was granted on August 12, 2018, with 72 focus group participants enrolled; institutional review board approval for aim 3 was granted on May 6, 2020. To date, 52 participants have been enrolled in the study protocol. Conclusions In this type 1 hybrid study design, we apply an evidence-based treatment adaptation framework to plan, adapt, and feasibility test a mobile health intervention in real-world treatment settings. Resting at the intersection of community mental health treatment and physical health promotion, this study aims to advance the use of simple technology for obesity prevention in individuals with early-stage mental illness. Trial Registration ClinicalTrials.gov NCT03980743; https://clinicaltrials.gov/ct2/show/NCT03980743 International Registered Report Identifier (IRRID) DERR1-10.2196/42114

The impact of self-stigma in people with diagnosis of severe mental illness: a cross-sectional pilot study from a community psychiatry unit in Porto, Portugal

IntroductionSelf-stigma refers to the process in which a person internalizes negative stereotypes, beliefs, and prejudices about their mental illness, adopting a stigmatized view of themselves. Severe mental illness is one of the most socially exclusive stigmata and is associated with poor clinical and functional outcomes and social withdrawal.ObjectivesIn Portugal, investigation regarding self-stigma is scarce. In this study, we aim to evaluate the impact of self-stigma among people with diagnosis of severe mental illness (SMI). For this goal we assess the prevalence of self-stigma of psychiatric patients with diagnosis SMI; and investigate the correlates of elevated self-stigma levels.MethodsFifty-one outpatients with SMI, were recruited from a community psychiatry unit from Porto, Portugal. After informed consent, evaluations included sociodemographic data, illness characteristics, and self-reported standardized scales. Self-stigma (ISMI), self-esteem (RSES) and quality of life (WHO-QoL) were assessed. Data analyses were performed using the SPSS version 28.0 (IBM Corp., Armonk, NY). p-values<0.05 were considered significant.ResultsFrom the study sample, 66.7% were male, with mean age of 44.8±11.0 and 56.9% were single. 33.3% reported living with their parents while 31.4% were living with a partner/spouse. The majority of participants had a diagnosis of schizophrenia (60.8%). Concerning the level of education, 58.8% completed basic education, but most patients were retired due to illness (62.7%). In this study, moderate to high self-stigma levels was found in 31.4% participants. Proportion of elevated self-stigma was significantly higher in unemployed/retired patients vs. those who were active (39.0% vs. 0%; P=0.021). No significant correlations were found with age, level of education, age at diagnosis, duration of illness, and number of hospitalizations. In the correlations analysis, a negative correlation between self-stigma and self-esteem (rho=-0.745; P<0.001), as well as self-stigma and quality of life (rho=-0.585; P<0.001) was found. A positive relationship between self-esteem and quality of life (rho=0.551; P<0.001) was found.ConclusionsThis study investigates, for the first time, the prevalence of self-stigma among outpatients with SMI in a community psychiatric unit from Porto. Our findings suggest a high prevalence of elevated levels of self-stigma among these patients. A significant association with being unemployed/retired was also found. Our results support previous evidence that internalized stigma is strongly associated with diminished self-esteem and impaired quality of life, in particular those aspects related to physical and psychological complaints. Targeting internalized stigma and self-esteem among patient with SMI will likely improve their quality of life, besides improving their clinical and functional outcomes.Disclosure of InterestNone Declared

Relationships between substance use disorders, 'severe mental illness' and re-arrest in a county detention facility: A 4-year follow-up cohort study.

A growing body of literature demonstrates strong association between poor mental health and criminal recidivism, but research from county jails is limited. Our aim was to examine the relationship between re-arrest and severe mental illnesses-schizophrenia, bipolar disorder and major depressive disorder-together and separately and with substance use disorders, separately and as comorbid conditions, in a mid-sized county jail cohort in the southeastern United States. We examined the full cohort of 8097 individuals who were booked into the County Detention Facility between 31 January 2014 and 31 January 2015. Their incarceration data were merged with data from the local health system to investigate the presence of severe mental illness and substance use disorder diagnoses. Re-arrest data were tracked for 4years after the index arrest. Approximately 60% of the cohort was re-arrested within 4years. People with substance use disorders, with or without severe mental illness, had higher re-arrest rates than those with severe mental illness alone or neither diagnosis. Drug-associated arrests did not explain this finding. Using detailed mental illness diagnosis data with a complete cohort of detained arrestees, we have shown the wide range of need among such individuals. By demonstrating that drug-associated crimes per se do not drive repeated arrest, we underscore a need to examine other factors that promote the cycle of repeated arrest in this population. Each individual requires treatment tailored to their personal psychiatric and criminogenic needs.

Physical health disparities and severe mental illness: A longitudinal comparative cohort study using hospital data in Northern Ireland.

People with severe mental illness (SMI) die prematurely, mostly due to preventable causes. To examine multimorbidity and mortality in people living with SMI using linked administrative datasets. Analysis of linked electronically captured routine hospital administrative data from Northern Ireland (2010-2021). We derived sex-specific age-standardised rates for seven chronic life-limiting physical conditions (chronic kidney disease, malignant neoplasms, diabetes mellitus, chronic obstructive pulmonary disease, chronic heart failure, myocardial infarction, and stroke) and used logistic regression to examine the relationship between SMI, socio-demographic indicators, and comorbid conditions; survival models quantified the relationship between all-cause mortality and SMI. Analysis was based on 929,412 hospital patients aged 20years and above, of whom 10,965 (1.3%) recorded a diagnosis of SMI. Higher likelihoods of an SMI diagnosis were associated with living in socially deprived circumstances, urbanicity. SMI patients were more likely to have more comorbid physical conditions than non-SMI patients, and younger at referral to hospital for each condition, than non-SMI patients. Finally, in fully adjusted models, SMI patients had a twofold excess all-cause mortality. Multiple morbidities associated with SMI can drive excess mortality. While SMI patients are younger at referral to treatment for these life-limiting conditions, their relatively premature death suggests that these conditions are also quite advanced. There is a need for a more aggressive approach to improving the physical health of this population.

People with serious mental illness are at higher risk for acute care hospitalization in Israel, 2000–2019

BackgroundPeople with severe mental disorders have higher mortality rates and more chronic physical conditions than the general population. Recent reforms in the Israeli mental health system included reducing the number of psychiatric hospital beds (“Structural Reform”), establishing community- based rehabilitation services (“Rehabilitation Reform”), and the transfer of governmental responsibility to the Health Maintenance Organizations (HMOs) (“Insurance Reform”). We examined how these changes have impacted the physical health of people with severe mental illness as reflected in acute care hospitalizations.MethodsData from the National Psychiatric Case Register were linked with data from the National Hospital Discharges Database for 2000–2019. Acute care discharges from public hospitals were identified for people who had a psychiatric hospitalization with a diagnosis of severe mental illness (SMI, ICD-10 codes F10-F69 or F90-F99) within the preceding 5 years. The discharge rate of SMI patients was compared to that of the total population by age, diagnosis group, and period of hospitalization. Total and age-standardized discharge ratios (SDR) were calculated, using indirect standardization.ResultsThe SDR for total acute care hospitalizations showed that discharge rates in 2016–2019 were 2.7 times higher for the SMI population than expected from the total population. The highest SDR was for external causes (5.7), followed by respiratory diseases (4.4), infectious diseases (3.9), skin diseases (3.7) and diabetes (3.3). The lowest SDR was for cancer (1.6). The total discharge rate ratio was lowest at ages 65–74 (2.2) and highest at ages 45–54 (3.2). The SDR was lowest for females at ages 25–34 (2.1) and for males at ages 18–24 (2.3). SDRs increased over the study period for all diagnoses. This increasing trend slowed at the end of the period, and between 2012–2015 and 2016–2019 there was a small decrease for skin and liver diseases, the SDR was stable for cancer and the increase was smaller for respiratory, infectious and circulatory diseases and diabetes.ConclusionThis study showed higher hospitalization rates in people with SMI compared to the total population. These differences increased between 2000 and 2019 following the opening of alternative services in the community, possibly due to a higher likelihood of psychiatric hospitalization only for those with more severe mental disease. We recommend that general practitioners and mental health professionals in the community be made aware of the essential importance of good physical healthcare, and collaborate on health promotion and disease prevention in the SMI population.

The incidence rate of planned and emergency physical health hospital admissions in people diagnosed with severe mental illness: a cohort study.

People with severe mental illness (SMI) have more physical health conditions than the general population, resulting in higher rates of hospitalisations and mortality. In this study, we aimed to determine the rate of emergency and planned physical health hospitalisations in those with SMI, compared to matched comparators, and to investigate how these rates differ by SMI diagnosis. We used Clinical Practice Research DataLink Gold and Aurum databases to identify 20,668 patients in England diagnosed with SMI between January 2000 and March 2016, with linked hospital records in Hospital Episode Statistics. Patients were matched with up to four patients without SMI. Primary outcomes were emergency and planned physical health admissions. Avoidable (ambulatory care sensitive) admissions and emergency admissions for accidents, injuries and substance misuse were secondary outcomes. We performed negative binomial regression, adjusted for clinical and demographic variables, stratified by SMI diagnosis. Emergency physical health (aIRR:2.33; 95% CI 2.22-2.46) and avoidable (aIRR:2.88; 95% CI 2.60-3.19) admissions were higher in patients with SMI than comparators. Emergency admission rates did not differ by SMI diagnosis. Planned physical health admissions were lower in schizophrenia (aIRR:0.80; 95% CI 0.72-0.90) and higher in bipolar disorder (aIRR:1.33; 95% CI 1.24-1.43). Accident, injury and substance misuse emergency admissions were particularly high in the year after SMI diagnosis (aIRR: 6.18; 95% CI 5.46-6.98). We found twice the incidence of emergency physical health admissions in patients with SMI compared to those without SMI. Avoidable admissions were particularly elevated, suggesting interventions in community settings could reduce hospitalisations. Importantly, we found underutilisation of planned inpatient care in patients with schizophrenia. Interventions are required to ensure appropriate healthcare use, and optimal diagnosis and treatment of physical health conditions in people with SMI, to reduce the mortality gap due to physical illness.

Mind the gap: an administrative data analysis of dental treatment outcomes and severe mental illness.

ObjectivesOral health of people with severe mental illness (SMI) remains an important public health issue with some evidence pointing suboptimal dental health outcomes. We test the hypotheses that individuals with SMI have lower contact with dental services and higher levels of fillings and extractions. We also examine effect modification by age.
 ApproachWe used linked administrative data from general practitioner (GP) records, hospital admissions data and dental payment system data to examine dental service use and treatments (extractions, fillings, crowns and x-rays) among the Northern Ireland hospital population between January 2015 and November 2019 (N=798,564). Logistic regression examined the association of SMI with dental service use and treatments, controlling for socio-demographic characteristics. In a further series of models, the interaction of SMI and age-group was examined.
 ResultsAn estimated 1.2% (9,656) recorded an SMI diagnosis from hospital records at some point during follow-up. Over two-thirds (67.2%) of the non-SMI hospital population received any dental treatment compared with 62.2% of persons SMI-diagnosed. After adjusting for available socio-demographic characteristics, analysis indicated lower levels of dental service use (OR=0.80, 95% CI=0.77, 0.84), including lower likelihood of fillings (OR=0.81, 0.77, 0.84) and x-rays (OR=0.77, 0.74, 0.81), but higher levels of extractions (OR=1.23, 1.18, 1.29) among patients with SMI. We also found effect modification by age-group: while older age was generally associated with higher likelihood of extractions and crowns, interaction analysis points to lower likelihood of all four dental treatments among older individuals with SMI.
 ConclusionsOur findings of lower engagement with dental services, lower levels of remedial treatments and higher levels of tooth loss raise concerns about availability, access, and promotion of routine dental care for people with SMI. There is a need for improved understanding of barriers to treatment and development of psychoeducational interventions.

Life-limiting health conditions, treatment and subsequent mortality associated with differences in health service use in people with severe mental illness: an analysis of the Northern Ireland population using administrative data sources.

ObjectivesTo examine differences in hospital admissions for people with severe mental illness (SMI), physical health multimorbidity and mortality compared to the general hospital population without SMI.
 ApproachThis study linked electronically captured routine administrative data from Northern Ireland (from 2013-2021): this comprised hospital records (including diagnostics codes); community prescribed medications; standard indicators of social deprivation (NIMDM); mortality data (General Register Office); and associated demographic data. The population included for analysis comprised 1,153,447 persons registered with a general practice at 01/01/2010 who subsequently attended a hospital setting. SMI was classified as a binary variable.
 ResultsThe population comprised 933,816 hospital patients aged 20plus at 2010, 414,887 (44.4%) males and 518,929 (55.5%) females – with 13,920 (1.5%) recording SMI: 6492 (46.6%) males and 7433 (53.4%) females between 2010 and 2021. Of these 7620 (54.7%) recorded schizophrenia; 4138 (29.7%) bi-polar disorder; and 2162 (15.5%) personality disorder. Those in the most deprived and those in urban areas were more likely to record SMI than their respective least deprived or rural peers (OR=2.38:95%CI=2.39-2.59 and OR=2.04:1.94-2.14). Increasing multimorbidity was associated with increasing SMI diagnosis: after adjustment for age, sex and year of exposure those with 5plus morbid states recorded OR=2.85(2.44-3.33) and OR=3.74(3.26-4.29) for 2012 and 2020 respectively. Finally, in models adjusted for age, sex and multimorbidity, those with SMI were more likely to die than their non-SMI peers: OR=2.09(1.92-2.29) for the 2012 group.
 ConclusionPhysical health multimorbidity and mortality increased in SMI compared to the non-SMI diagnosed group. We suggest a range of morbidities associated with SMI can drive excess mortality. This study highlights the importance to examine the extent of underdiagnosis of the causes of mortality in SMI presenting insights into suitable interventions.
 AcknowledgementThe authors would like to acknowledge the help provided by the staff of the Honest Broker Service (HBS) within the Business Services Organisation Northern Ireland (BSO). The HBS is funded by BSO and the Department of Health (DoH). The authors alone are responsible for the interpretation of the data and any views or opinions presented are solely those of the author and do not necessarily represent those of the BSO.

The impact of comorbid severe mental illness and common chronic physical health conditions on hospitalisation: A systematic review and meta-analysis.

People with severe mental illness (SMI) are at higher risk of physical health conditions compared to the general population, however, the impact of specific underlying health conditions on the use of secondary care by people with SMI is unknown. We investigated hospital use in people managed in the community with SMI and five common physical long-term conditions: cardiovascular diseases, COPD, cancers, diabetes and liver disease. We performed a systematic review and meta-analysis (Prospero: CRD42020176251) using terms for SMI, physical health conditions and hospitalisation. We included observational studies in adults under the age of 75 with a diagnosis of SMI who were managed in the community and had one of the physical conditions of interest. The primary outcomes were hospital use for all causes, physical health causes and related to the physical condition under study. We performed random-effects meta-analyses, stratified by physical condition. We identified 5,129 studies, of which 50 were included: focusing on diabetes (n = 21), cardiovascular disease (n = 19), COPD (n = 4), cancer (n = 3), liver disease (n = 1), and multiple physical health conditions (n = 2). The pooled odds ratio (pOR) of any hospital use in patients with diabetes and SMI was 1.28 (95%CI:1.15-1.44) compared to patients with diabetes alone and pooled hazard ratio was 1.19 (95%CI:1.08-1.31). The risk of 30-day readmissions was raised in patients with SMI and diabetes (pOR: 1.18, 95%CI:1.08-1.29), SMI and cardiovascular disease (pOR: 1.27, 95%CI:1.06-1.53) and SMI and COPD (pOR:1.18, 95%CI: 1.14-1.22) compared to patients with those conditions but no SMI. People with SMI and five physical conditions are at higher risk of hospitalisation compared to people with that physical condition alone. Further research is warranted into the combined effects of SMI and physical conditions on longer-term hospital use to better target interventions aimed at reducing inappropriate hospital use and improving disease management and outcomes.

NDIS Participants with Psychosocial Disabilities and Life-Limiting Diagnoses: A Scoping Review.

This research aimed to map evidence about system supports and gaps for Australians with psychosocial disabilities and life-limiting diagnoses. A scoping review of available policy documents, academic, and grey literature was completed to discover key characteristics of this concept and provide context around the phenomenon. Our focus was on Australia’s National Disability Insurance Scheme (NDIS), a key reform providing support to the disability population nationally. No peer-reviewed or grey literature was retrieved on the phenomena. Therefore, three lines of enquiry were developed: experiences of NDIS participants living with psychosocial disabilities; the death, dying, and palliative care supports and experiences of NDIS participants of any disability type; and the experiences for people living with severe and persistent mental illness (SPMI) and life-limiting diagnoses. Five themes were identified: (1) the person; (2) advocacy; (3) informal supports; (4) formal supports; and (5) existing research. NDIS participants living with SPMI and their informal and formal support systems are still struggling to navigate the NDIS. While there are no specific publications about their end-of-life experiences, people with SPMI often experience poor end-of-life outcomes. Rigorous research into their death, dying, and palliative care experiences is needed to inform improved support to them, including their end-of-life care.

Incidence and associations of hospital delirium diagnoses in 85,979 people with severe mental illness: A data linkage study.

Delirium is an acute neuro-psychiatric disturbance precipitated by a range of physical stressors, with high morbidity and mortality. Little is known about its relationship with severe mental illness (SMI). We conducted a retrospective cohort study using linked data analyses of the UK Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES) databases. We ascertained yearly hospital delirium incidence from 2000 to 2017 and used logistic regression to identify associations with delirium diagnosis in a population with SMI. The cohort included 249,047 people with SMI with median follow-up time in CPRD of 6.4 years. A total of 85,979 patients were eligible for linkage to HES. Delirium incidence increased from 0.04 (95% CI 0.02-0.07) delirium associated admissions per 100 person-years in 2000 to 1.05 (95% CI 0.93-1.17) per 100 person-years in 2017, increasing most notably from 2010 onwards. Delirium was associated with older age at study entry (OR 1.05 per year, 95% CI 1.05-1.06), SMI diagnosis of bipolar affective disorder (OR 1.66, 95% CI 1.44-1.93) or other psychosis (OR 1.56, 95% CI 1.35-1.80) relative to schizophrenia, and more physical comorbidities (OR 1.08 per additional comorbidity of the Charlson Comorbidity Index, 95% CI 1.02-1.14). Patients with delirium received more antipsychotic medication during follow-up (1-2 antipsychotics OR 1.65, 95% CI 1.44-1.90; >2 antipsychotics OR 2.49, 95% CI 2.12-2.92). The incidence of recorded delirium diagnoses in people with SMI has increased in recent years. Older people prescribed more antipsychotics and with more comorbidities have a higher incidence. Linked electronic health records are feasible for exploring hospital diagnoses such as delirium in SMI.

The temporal relationship between severe mental illness diagnosis and chronic physical comorbidity: a UK primary care cohort study of disease burden over 10 years

Despite increased rates of physical health problems in people with schizophrenia, bipolar disorder, and other psychotic illnesses, the temporal relationship between physical disease acquisition and diagnosis of a severe mental illness remains unclear. We aimed to determine the cumulative prevalence of 24 chronic physical conditions in people with severe mental illness from 5 years before to 5 years after their diagnosis. In this cohort study, we used the UK Clinical Practice Research Datalink (CPRD) to identify patients aged 18-100 years who were diagnosed with severe mental illness between Jan 1, 2000, and Dec 31, 2018. Each patient with severe mental illness was matched with up to four individuals in the CPRD without severe mental illness by sex, 5-year age band, primary care practice, and year of primary care practice registration. Individuals in the matched cohort were assigned an index date equal to the date of severe mental illness diagnosis in the patient with severe mental illness to whom they were matched. Our primary outcome was the cumulative prevalence of 24 physical health conditions, based on the Charlson and Elixhauser comorbidity indices, at 5 years, 3 years, and 1 year before and after severe mental illness diagnosis and at the time of diagnosis. We used logistic regression to compare people with severe mental illness with the matched cohort, adjusting for key variables such as age, sex, and ethnicity. We identified 68 789 patients diagnosed with a severe mental illness between Jan 1, 2000, and Dec 31, 2018, and we matched them to 274 827 patients without a severe mental illness diagnosis. In both cohorts taken together, the median age was 40·90 years (IQR 29·46-56·00), 175 138 (50·97%) people were male, and 168 478 (49·03%) were female. The majority of patients were of White ethnicity (59 867 [87·03%] patients with a severe mental illness and 244 566 [88·99%] people in the matched cohort). The most prevalent conditions at the time of diagnosis in people with severe mental illness were asthma (10 581 [15·38%] of 68 789 patients), hypertension (8696 [12·64%]), diabetes (4897 [7·12%]), neurological disease (3484 [5·06%]), and hypothyroidism (2871 [4·17%]). At diagnosis, people with schizophrenia had increased odds of five of 24 chronic physical conditions compared with matched controls, and nine of 24 conditions were diagnosed less frequently than in matched controls. Individuals with bipolar disorder and other psychoses had increased odds of 15 conditions at diagnosis. At 5 years after severe mental illness diagnosis, these numbers had increased to 13 conditions for schizophrenia, 19 for bipolar disorder, and 16 for other psychoses. Elevated odds of multiple conditions at the point of severe mental illness diagnosis suggest that early intervention on physical health parameters is necessary to reduce morbidity and premature mortality. Some physical conditions might be under-recorded in patients with schizophrenia relative to patients with other severe mental illness subtypes. UK Office For Health Improvement and Disparities.