Mental Health Diagnoses Research Articles

Psychological distress and mental health diagnoses in adults by disability and functional difficulty status: Findings from the 2021 national health interview survey

BackgroundEvidence suggests that disabled people have worse mental health than non-disabled people, but the degree to which disability contributes to mental health is unclear. ObjectiveThis paper uses 2021 National Health Interview Survey (NHIS) data to estimate the association between disability and depression and anxiety diagnoses as well as psychological distress among adults. MethodsWe calculated disability population prevalence and mental health diagnoses and associated symptoms among 28,534 NHIS respondents. Logistic regressions estimated the odds of depression or anxiety diagnoses and recent psychological distress, controlling for disability and mental health diagnoses. We measured disability using binary and continuum measures of functional disability with the Washington Group Short Set on Functioning. ResultsDisabled people have significantly greater odds of both depression and anxiety diagnoses compared to non-disabled people. Those with high functional disability have 552 % greater odds of an anxiety diagnosis (95 % CI: 5.61–7.58; p < 0.01) and 697 % greater odds of a depression diagnosis (95 % CI: 6.97–9.12; p < 0.01) compared to those with no functional disability. Similarly, those with any level of functional disability are more likely to have elevated psychological distress in the past 30 days compared to those with no functional disability. ConclusionsFindings support the idea that mental health is worse for disabled people compared to non-disabled people, with increasing functional disability associated with worse mental health. This suggests that mental health is not being adequately addressed for those with the greatest functional disability. Future work should seek to better understand the systemic causes of disparities.

Exploring the interplay between coronary microvascular dysfunction and mental health

BackgroundThe intricate relationship between mental health disorders, notably anxiety and depression, and chest pain associated with non-obstructive coronary artery disease has become a focus of investigation. MethodsThis study from the Coronary Microvascular Disease Registry (CMDR) evaluated the association of mental health disorders and coronary microvascular dysfunction (CMD) among patients with angina with no obstructive coronary artery disease (ANOCA) who had undergone comprehensive invasive physiological testing for CMD. Clinical data regarding baseline characteristics, comorbidities, and noninvasive cardiac testing were obtained from chart review. The primary outcome of interest was the potential relationship between mental health diagnoses and the presence of CMD. ResultsOf patients included in the CMDR, 27 % (41/152) had at least one documented mental health disorder diagnosis (International Classification of Diseases, Tenth Revision codes) and CMD. There was no difference in mental health diagnosis prevalence between CMD-positive and CMD-negative patients (21.1 % vs. 28.9 %, p = 0.34). The most common mental health diagnoses were depression (15.8 %) and anxiety (15.8 %). Furthermore, 46.3 % (19/41) of patients with mental health disorders were prescribed psychiatric medications, with the most common being benzodiazepines (26.8 %). ConclusionPatients with chest pain not due to CMD did not have an increased prevalence of mental health disorders compared with patients with ANOCA due to CMD, challenging the notion of a psychosomatic component in the pathogenesis of ANOCA.

Impact of sleep and mental health in adolescence: an overview.

Sleep deprivation is known to affect multiple aspects of mental health, physical health, and daily functioning. With increasing reports of sleep disturbances and increasing mental health needs in adolescents, it is imperative that healthcare providers have a strong understanding of the relationship between sleep and mental health, the impact of poor sleep on the school experience, and an understanding of behavioral interventions targeting sleep practices. Recent studies have shown that the relationship between sleep and mental health is complex and multifaceted. While mental health diagnoses and symptoms can negatively influence sleep quality and quantity, so too does poor sleep increase the risk of mental health diagnoses, symptom severity, and suicide risk. Sleep likewise affects the school experience, both positively and negatively. Targeted interventions and prevention programs may be effective in treatment of sleep disturbances for adolescents. Clinicians must be aware of the above associations and their clinical implications. Patients with either mental health or sleep concerns should be screened for potential co-morbid conditions. Improving sleep hygiene practices can improve the sleep experience in adolescents, however, there remains a gap in understanding the best method to improve sleep hygiene practices in this population.

Swift-Eye: Towards Anti-blink Pupil Tracking for Precise and Robust High-Frequency Near-Eye Movement Analysis with Event Cameras.

Eye tracking has shown great promise in many scientific fields and daily applications, ranging from the early detection of mental health disorders to foveated rendering in virtual reality (VR). These applications all call for a robust system for high-frequency near-eye movement sensing and analysis in high precision, which cannot be guaranteed by the existing eye tracking solutions with CCD/CMOS cameras. To bridge the gap, in this paper, we propose Swift-Eye, an offline precise and robust pupil estimation and tracking framework to support high-frequency near-eye movement analysis, especially when the pupil region is partially occluded. Swift-Eye is built upon the emerging event cameras to capture the high-speed movement of eyes in high temporal resolution. Then, a series of bespoke components are designed to generate high-quality near-eye movement video at a high frame rate over kilohertz and deal with the occlusion over the pupil caused by involuntary eye blinks. According to our extensive evaluations on EV-Eye, a large-scale public dataset for eye tracking using event cameras, Swift-Eye shows high robustness against significant occlusion. It can improve the IoU and F1-score of the pupil estimation by 20% and 12.5% respectively, compared with the second-best competing approach, when over 80% of the pupil region is occluded by the eyelid. Lastly, it provides continuous and smooth traces of pupils in extremely high temporal resolution and can support high-frequency eye movement analysis and a number of potential applications, such as mental health diagnosis, behaviour-brain association, etc. The implementation details and source codes can be found at https://github.com/ztysdu/Swift-Eye.

Pediatric Health and System Impacts of Mass Incarceration, 2009–2020: A Matched Cohort Study

ObjectiveThe US has the highest incarceration rate in the world; incarceration’s direct and indirect toll on the health and health care use of youth is rarely investigated. We sought to compare the health of youth with known personal or family justice involvement and a matched cohort of youth without known personal/family justice involvement. MethodsA cross-sectional matched parallel cohort study was conducted. We queried electronic health records on youth (<21 years) with a visit in a large Midwestern pediatric hospital-based institution from January 2009 to December 2020. Youth were located by searching for justice-related (eg, prison, jail) keywords within all clinician notes. Health diagnostic profiles were measured using ICD 9/10 codes. Health care use included total admissions, inpatient days, emergent and urgent visits, and outpatient visits. ResultsAcross all youth at one institution over an 11-year period, 2.2% (N = 38,263) were identified as having probable personal or family justice-involvement. Youth with personal or familial justice involvement had 1.5–16.2 times the prevalence of mental health and physical health diagnoses across all domain groupings compared to a matched sample and the total population sample. From 2009–2020, approximately two-thirds of behavioral health care and nearly a quarter of all hospital inpatient days were attributed to the 2.2% of youth with probable personal or familial justice system involvement. ConclusionThe study illuminates the vast disparities between youth with indirect or direct contact with the criminal legal system and matched youth with no documented contact. Better investment in monitoring and prevention efforts are needed.

Navigating college campuses: The impact of stress on mental health and substance use in the post COVID-19 era

The college years are one of excitement and often thought of as a dream like setting of growth, creativity, and independence. This exciting time can be marred by the onset or exacerbation of mental health conditions, alcohol, and/or drug dependence. This writing looks to explore the world of college mental health and the changes the provisions of this type of care has undergone during and after the COVID-19 pandemic. We look at the staggering rates of diagnosed mental health diagnoses and mental health related symptoms that may undermine a student's ability to meet their full growth and academic potential. We look to explore different health settings where college age students are accessing care and how that care is being delivered (e.g. community vs on-campus, telehealth vs in-person). We also aim to highlight specific mental health conditions (e.g. anxiety, depression, suicidality, PTSD) and specific student stressors (e.g. participating in athletics, socioeconomic pressures) to underscore the message that the mental health of college age students is an area that needs continued study and engagement of all parties involved in student development and well-being.

Longitudinal mental health state during the COVID-19 pandemic. Longitudinal change of mental symptoms and its predictors during the COVID-19 pandemic: A prospective longitudinal study on Spanish population.

The general objective of this study is to analyze the change in mental health and post-traumatic symptoms over 6 months during the COVID-19 pandemic in a Spanish community sample, with a particular focus on individual differences in longitudinal change in symptoms and its predictors. This longitudinal prospective study surveyed a Spanish community sample three times (T1: during the initial outbreak, T2: after 4 weeks and T3: after 6 months). Four thousand one hundred and thirty-nine participants from all the Spanish regions completed the questionnaires. However, the longitudinal analysis was performed only with participants which responded at least two times (1,423 participants). Mental health assessments included depression, anxiety, and stress (measured by the Depression, Anxiety and Stress Scale (DASS-21) and post-traumatic symptoms were assessed by the Impact of Event Scale-Revised (IES-R). All the mental health variables achieved worse results at T2. Depression, stress, and posttraumatic symptoms did not recover at T3 when compared with the initial measure, while anxiety was practically stable across the timeline. Women, younger age, having a previous mental health diagnosis and contact with individuals with COVID-19 were linked to worse psychological evolution during the 6-months period. A good perception of one's physical health may be a protective factor. After 6 months of the pandemic, the general population's mental health was still worse than at the initial outbreak for most of the variables analyzed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Machine Learning in ADHD and Depression Mental Health Diagnosis

Machine Learning in ADHD and Depression Mental Health Diagnosis

Emotion Symphony: Deep Learning Journey Through Human Facial Emotions

Abstract: In today's technologically advanced world, understanding human emotions holds paramount importance in various domains ranging from human-computer interaction to mental health diagnosis. Emotions are primarily conveyed through facial expressions, making facial emotion recognition a crucial area of research. This project, "Emotion Symphony," embarks on a deep learning journey aimed at developing an efficient system for recognizing and interpreting human facial emotions. The project employs state-of-the-art deep learning techniques to extract meaningful features from facial images and map them to corresponding emotional states. Leveraging convolutional neural networks (CNNs) and recurrent neural networks (RNNs), the system is designed to analyse subtle nuances in facial expressions, capturing both spatial and temporal dependencies for accurate emotion recognition. To train the model, extensive datasets comprising diverse facial expressions are utilized, ensuring robustness and generalization of the proposed system. Additionally, data augmentation techniques are employed to enhance the model's ability to handle variations in lighting conditions, poses, and facial expressions.

The Interplay of Sleep Quality, Mental Health, and Sociodemographic and Clinical Factors among Italian College Freshmen.

Background/Objectives: Sleep and mental health are closely linked, with sleep deprivation increasing the risk of mental health problems in college students. This study aimed to analyze the role of sleep in the mental health status of a sample of Italian freshmen, considering various mental health outcomes and potential interactions between sleep and other relevant factors, such as sociodemographic characteristics, academic experiences, and mental health history. Methods: All freshmen from a medium-sized Italian university were invited to participate in a multidimensional online survey (n = 3756). Sleep quality was assessed through questions on average hours of sleep per night and on satisfaction of perceived sleep quality. Mental health outcomes included psychophysical well-being, psychological distress, substance use, and problematic internet use. Statistical analysis involved multivariate analysis of variance, followed by pairwise comparisons. Results: The sample (n = 721) exhibited low levels of well-being and a high prevalence of psychological distress (52.1%). Approximately one-third of students (n = 258) were dissatisfied with their sleep quality, and one-fourth (n = 186) reported inadequate sleep (less than 7 h per night). More specifically, 24.4% of students slept on average six hours per night, and 1.4% slept five hours or less. Satisfaction with perceived sleep quality significantly influenced well-being, psychological distress, and cannabis use (ηp2 = 0.02). Interaction effects were observed between satisfaction with sleep quality and drop-out intentions (ηp2 = 0.01), as well as between satisfaction with sleep quality and history of mental health diagnosis (ηp2 = 0.02), both of which were significant for psychological distress and cannabis use. Conclusions: This study highlights the influence of perceived sleep quality on academic distress among college freshmen, particularly those with higher intentions of leaving university and with a history of mental health diagnosis.

Risk and protective factors for self-harm and suicide behaviours among serving and ex-serving personnel of the UK Armed Forces, Canadian Armed Forces, Australian Defence Force and New Zealand Defence Force: A systematic review.

Self-harm and suicide behaviours are a major public health concern. Several factors are associated with these behaviours among military communities. Identifying these factors may have important implications for policy and clinical services. The aim of this review was to identify the risk and protective factors associated with self-harm and suicide behaviours among serving and ex-serving personnel of the United Kingdom Armed Forces, Canadian Armed Forces, Australian Defence Force and New Zealand Defence Force. A systematic search of seven online databases (PubMed, Web of Science, Embase, Global Health, PsycINFO, PTSDpubs and CINAHL) was conducted alongside cross-referencing, in October 2022. Following an a priori PROSPERO approved protocol (CRD42022348867), papers were independently screened and assessed for quality. Data were synthesised using a narrative approach. Overall, 28 papers were included: 13 from Canada, 10 from the United Kingdom, five from Australia and none from New Zealand. Identified risk factors included being single/ex-relationship, early service leavers, shorter length of service (but not necessarily early service leavers), junior ranks, exposure to deployment-related traumatic events, physical and mental health diagnoses, and experience of childhood adversity. Protective factors included being married/in a relationship, higher educational attainment, employment, senior ranks, and higher levels of perceived social support. Adequate care and support are a necessity for the military community. Prevention and intervention strategies for self-harm and suicide behaviours may be introduced early and may promote social networks as a key source of support. This review found a paucity of peer-reviewed research within some populations. More peer-reviewed research is needed, particularly among these populations where current work is limited, and regarding modifiable risk and protective factors.

Adolescents Who Do Not Endorse Risk via the Patient Health Questionnaire Before Self-Harm or Suicide

Given that the Patient Health Questionnaire (PHQ) item 9 is commonly used to screen for risk of self-harm and suicide, it is important that clinicians recognize circumstances when at-risk adolescents may go undetected. To understand characteristics of adolescents with a history of depression who do not endorse the PHQ item 9 before a near-term intentional self-harm event or suicide. This was a retrospective cohort study design using electronic health record and claims data from January 2009 through September 2017. Settings included primary care and mental health specialty clinics across 7 integrated US health care systems. Included in the study were adolescents aged 13 to 17 years with history of depression who completed the PHQ item 9 within 30 or 90 days before self-harm or suicide. Study data were analyzed September 2022 to April 2023. Demographic, diagnostic, treatment, and health care utilization characteristics. Responded "not at all" (score = 0) to PHQ item 9 regarding thoughts of death or self-harm within 30 or 90 days before self-harm or suicide. The study included 691 adolescents (mean [SD] age, 15.3 [1.3] years; 541 female [78.3%]) in the 30-day cohort and 1024 adolescents (mean [SD] age, 15.3 [1.3] years; 791 female [77.2%]) in the 90-day cohort. A total of 197 of 691 adolescents (29%) and 330 of 1024 adolescents (32%), respectively, scored 0 before self-harm or suicide on the PHQ item 9 in the 30- and 90-day cohorts. Adolescents seen in primary care (odds ratio [OR], 1.5; 95% CI, 1.0-2.1; P = .03) and older adolescents (OR, 1.2; 95% CI, 1.0-1.3; P = .02) had increased odds of scoring 0 within 90 days of a self-harm event or suicide, and adolescents with a history of inpatient hospitalization and a mental health diagnosis had twice the odds (OR, 2.0; 95% CI, 1.3-3.0; P = .001) of scoring 0 within 30 days. Conversely, adolescents with diagnoses of eating disorders were significantly less likely to score 0 on item 9 (OR, 0.4; 95% CI, 0.2-0.8; P = .007) within 90 days. Study results suggest that older age, history of an inpatient mental health encounter, or being screened in primary care were associated with at-risk adolescents being less likely to endorse having thoughts of death and self-harm on the PHQ item 9 before a self-harm event or suicide death. As use of the PHQ becomes more widespread in practice, additional research is needed for understanding reasons why many at-risk adolescents do not endorse thoughts of death and self-harm.

Preoperative Function Affects Ability to Achieve One-Year Minimum Clinically Important Difference for Patients Undergoing Total Knee Arthroplasty

BackgroundMinimum clinically important difference (MCID) values are commonly used to measure treatment success for total knee arthroplasty (TKA). MCID values vary according to calculation methodology, and prior studies have shown that patient factors are associated with failure to achieve MCID thresholds. The purpose of this study was to determine if anchor-based 1-year Knee Injury and Osteoarthritis Outcome Score Joint Replacement (KOOS-JR) MCID values varied among patients undergoing TKA based on patient-specific factors. MethodsThis was a retrospective review of patients undergoing TKA from 2017-2018. Patients without baseline or 1-year KOOS-JR or Patient-Reported Outcome Measurement Information System Global Health data or that underwent procedures other than primary TKA were excluded. MCIDs were calculated and compared between patient groups according to preoperative characteristics. ResultsAmong the included 976 patients, 1-year KOOS-JR MCIDs were 26.6 for men, 28.2 for women, 30.7 for patients with a diagnosis of anxiety and/or depression, and 26.7 for patients without a diagnosis. One-year MCID values did not differ significantly according to gender (P = .379) or mental health diagnosis (P = .066), nor did they correlate with body mass index (β = −0.034, P = .822). Preoperative KOOS-JR decile demonstrated an inverse relationship with 1-year MCID values and attainment of MCID. ConclusionsThe proportion of patients attaining KOOS-JR MCID values demonstrated an inverse relationship with preoperative baseline function. Future investigation may identify patient factors that allow surgeons to better capture patient satisfaction with their procedure despite failure to attain a 1-year MCID.

A short-term “behavioural support” service for autistic adults without an intellectual disability: a pilot evaluation

Purpose A region’s transforming care partnership identified that autistic adults without an intellectual disability (ID) may be falling through gaps in services when presenting with a significant emotional and/or behavioural need in the absence of a mental health diagnosis. The region’s intensive support teams (ISTs) for adults with ID therefore piloted a short-term “behavioural support service” for this population. The purpose of this paper is to evaluate this pilot. Design/methodology/approach This study represents a mixed-methods service evaluation over a four year pilot period. The quantitative component examined referral rates and demographic data of accepted and declined referrals; and length of referral episodes and Health of The Nation Outcomes Scores (HoNOS) for accepted referrals. The qualitative component used thematic analysis to identify key themes relating to reasons for referral, clinical/therapeutic needs, and the models of support that most informed assessments and interventions at individual and systems levels. Findings The ISTs accepted 30 referrals and declined 53. Most accepted referrals were male (83%), and under 24 years old (57%). Average HoNOS scores were above the thresholds generally associated with hospital admission. Key qualitative themes were: transitional support; sexual risks/vulnerabilities; physical aggression; domestic violence; and attachment, trauma and personality difficulties. Support mostly followed psychotherapeutic modalities couched in trauma, attachment and second- and third-wave cognitive behavioural therapies. Positive Behaviour Support (PBS) did not emerge as a model of preference for service users or professionals. Originality/value This project represents one of the first of this type for autistic adults without an ID in the UK. It provides recommendations for future service development and research, with implications for Transforming Care policy and guidance.

Mental Health, Interpersonal Trauma, and Violent Offending in a Sample of Justice-Involved Women With Opioid Use Histories

There is a known relationship between mental health, victimization, and perpetration of violence, yet few studies have investigated this relationship with substance-using women. The current study examined differences in psychological diagnoses, mental health symptoms, and interpersonal trauma between violent and nonviolent female offenders with opioid use histories. Findings revealed that lifetime mental health diagnoses and interpersonal trauma were uniquely associated with violent offending. Additionally, violent offending was associated with increased current mental health symptoms. These results highlight the importance of adapting treatments for women with violent offenses and substance use histories to include mental health and victimization experiences.

Risk of adverse outcomes during gabapentinoid therapy and factors associated with increased risk in UK primary care using the clinical practice research datalink: a cohort study.

Growing evidence from pharmacovigilance data and postmortem toxicology reports highlights the misuse potential of gabapentinoids. This study aimed to investigate the risk of serious adverse outcomes (drug misuse, overdose, major trauma), and their risk factors, in primary care patients who are prescribed gabapentinoids. Using the UK Clinical Practice Research Datalink, a matched cohort study calculated adverse event rates separately for gabapentinoid-exposed and unexposed cohorts. In the exposed cohort, event rates for exposure to a range of potential risk factors were calculated. Event rates were compared using Cox proportional hazards models, adjusted for age, sex, deprivation, previous mental health diagnosis, and coprescribing with potentially interacting medicines. Substance misuse (gabapentin adjusted hazard ratio [95% CI]: 2.40 [2.25-2.55]), overdose (2.99 [2.56-3.49]), and major trauma (0-2.5 years: 1.35 [1.28-1.42]; 2.5 to 10 years: 1.73 [1.56-1.95]) were more common among patients prescribed gabapentinoids than matched individuals who were not. The association with overdose was stronger for pregabalin than gabapentin. All adverse outcomes were significantly associated with smoking, history of substance misuse, overdose, or a mental health condition and prescription of opioids, benzodiazepines, antidepressants, and Z-drug hypnotics (eg, gabapentin hazard ratios for association of concurrent opioid use: misuse 1.49 [1.47-1.51]; overdose 1.87 [1.78-1.96]; major trauma 1.28 [1.26-1.30]). Our findings highlight the importance of careful patient selection when prescribing gabapentinoids and the need to educate prescribers about the risks of these drugs, particularly in combination with other central nervous system depressants.

Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose.

This systematic review summarizes the development, accuracy, quality, and clinical utility of predictive models to assess the risk of opioid use disorder (OUD), persistent opioid use, and opioid overdose. In accordance with Preferred Reporting Items for a Systematic Review and Meta-analysis guidelines, 8 electronic databases were searched for studies on predictive models and OUD, overdose, or persistent use in adults until June 25, 2023. Study selection and data extraction were completed independently by 2 reviewers. Risk of bias of included studies was assessed independently by 2 reviewers using the Prediction model Risk of Bias ASsessment Tool (PROBAST). The literature search yielded 3130 reports; after removing 199 duplicates, excluding 2685 studies after abstract review, and excluding 204 studies after full-text review, the final sample consisted of 41 studies that developed more than 160 predictive models. Primary outcomes included opioid overdose (31.6% of studies), OUD (41.4%), and persistent opioid use (17%). The most common modeling approach was regression modeling, and the most common predictors included age, sex, mental health diagnosis history, and substance use disorder history. Most studies reported model performance via the c statistic, ranging from 0.507 to 0.959; gradient boosting tree models and neural network models performed well in the context of their own study. One study deployed a model in real time. Risk of bias was predominantly high; concerns regarding applicability were predominantly low. Models to predict opioid-related risks are developed using diverse data sources and predictors, with a wide and heterogenous range of accuracy metrics. There is a need for further research to improve their accuracy and implementation.

Factors Associated With Prolonged Mental Health Admissions at US Children's Hospitals.

Mental health (MH) hospitalizations at medical hospitals are associated with longer length of stay (LOS) compared with non-MH hospitalizations, but patient factors and costs associated with prolonged MH hospitalizations are unknown. The objective of this paper is to assess patient clinical and demographic factors associated with prolonged MH hospitalizations and describe variation in MH LOS across US children's hospitals. We studied children aged 5 to 20 years hospitalized with a primary MH diagnosis during 2021 and 2022 across 46 children's hospitals using the Pediatric Health Information System database. Generalized estimating equations, clustered on hospital, tested associations between patient characteristics with prolonged MH hospitalization, defined as those in the 95th percentile or above (>14 days). Among 42 654 primary MH hospitalizations, most were aged 14 to 18 (62.4%), female (68.5%), and non-Hispanic white (53.8%). The most common primary MH diagnoses were suicide/self-injury (37.4%), depressive disorders (16.6%), and eating disorders (10.9%). The median (interquartile range) LOS was 2 days (1-5), but 2169 (5.1%) experienced a hospitalization >14 days. In adjusted analyses, race and ethnicity, category of MH diagnosis, and increasing medical and MH complexity were associated with prolonged hospitalization. Our results emphasize several diagnoses and clinical descriptors for targeted interventions, such as behavioral and inpatient MH resources and discharge planning. Expanded investment in both community and inpatient MH supports have the potential to improve health equity and reduce prolonged MH hospitalizations.

Determinants of remote measurement-based care uptake in a safety net outpatient psychiatry department as part of learning health system transition.

Behavioral measurement-based care (MBC) can improve patient outcomes and has also been advanced as a critical learning health system (LHS) tool for identifying and mitigating potential disparities in mental health treatment. However, little is known about the uptake of remote behavioral MBC in safety net settings, or possible disparities occurring in remote MBC implementation. This study uses electronic health record data to study variation in completion rates at the clinic and patient level of a remote MBC symptom measure tool during the first 6 months of implementation at three adult outpatient psychiatry clinics in a safety net health system. Provider-reported barriers to MBC adoption were also measured using repeated surveys at one of the three sites. Out of 1219 patients who were sent an MBC measure request, uptake of completing at least one measure varied by clinic: General Adult Clinic, 38% (n = 262 of 696); Substance Use Clinic, 28% (n = 73 of 265); and Transitions Clinic, 17% (n = 44 of 258). Compared with White patients, Black and Portuguese or Brazilian patients had lower uptake. Older patients also had lower uptake. Spanish language of care was associated with much lower uptake at the patient level. Significant patient-level disparities in uptake persisted after adjusting for the clinic, mental health diagnoses, and number of measure requests sent. Providers cited time within visits and bandwidth in their workflow as the greatest consistent barriers to discussing MBC results with patients. There are significant disparities in MBC uptake at the patient and clinic level. From an LHS data infrastructure perspective, safety net health systems may need to address the need for possible ways to adapt MBC to better fit their populations and clinical needs, or identify targeted implementation strategies to close data gaps for the identified disparity populations.

Exploring experiences with alcohol and how drinking has changed over time among minority ethnic groups with a diagnosed mental health problem

IntroductionMinority ethnic groups are more likely to experience poor mental health but less likely to seek formal support. Mental health problems and alcohol use (including non-drinking) co-occur, the reasons for this among minority ethnic groups are not well understood. This study explored i) alcohol use among minority ethnic individuals with a mental health problem,ii) how alcohol was used before individuals received support for their mental health,iii) how alcohol changed whilst and after individuals received treatment for their mental health. MethodsParticipants were purposively sampled through community/online mental health organisations. Participants took part if they i)were not White British, ii) had a mental health diagnosis, iii) drank at hazardous and above levels or former drinkers. Telephone/online semi-structured interviews were conducted. Data were analysed using framework analysis with an intersectional lens. Results25 participants took part. Four themes were developed; “drinking motivations”, “mental health literacy and implications on drinking behaviour”, “cultural expectations and its influence on mental health problems and drinking practices”, and “reasons for changes in drinking”. Themes reflect reasons for drinking and the role of understanding the range of mental health problems and implicit cultural expectations. An intersectional lens indicated gendered, ethnic and religious nuances in experiences with alcohol and seeking support. Engaging with formal support prompted changes in drinking which were facilitated through wider support. ConclusionThere were specific reasons to cope among minority ethnic individuals who have a mental health problem. Applying an intersectional lens provided an insight into the role of cultural and gendered expectations on mental health and drinking practices. Mental health literacy and implicit cultural expectations within specific minority ethnic groups can affect both mental health and drinking practices. Healthcare professionals and wider community play an important role in prompting changes in drinking among minority ethnic groups who have a mental health problem.