Changes in processing speed during early abstinence from alcohol dependence.

BACKGROUND: Processing speed is a task-independent construct underpinning more complex goal-related abilities. Processing speed is impaired in alcohol dependence (AD) and is linked to relapse, as are the functions it underpins. Reliable measurement of processing speed may allow tracking of AD recovery trajectories and identify patients requiring additional support. AIMS: To assess changes in reaction time (RT) from baseline (at the start of a detoxification programme) across early abstinence. METHODS: Vibrotactile RT was assessed in early recovery between days 3 and 7 of treatment in 66 individuals with AD (25 females; aged 19-74, 44.60 ± 10.60 years) and against 35 controls tested on one occasion (19 females; 41.00 ± 13.60), using two multivariate multiple regressions. A mixed multivariate analysis of covariance (MANCOVA) of available AD data (n = 45) assessed change in RT between timepoints and between treatment settings (outpatient vs inpatient). RESULTS: The group (AD vs control) significantly predicted choice RT at baseline and follow-up but did not significantly predict simple RT or RT variability, which is inconsistent with previous findings. At follow-up, mental fatigue was also predicted by the group, and MANCOVA indicated that this had worsened in inpatients but improved in outpatients. CONCLUSIONS: Recovery of RT measures so early in the treatment journey was not in line with previous research which indicates persisting deficits. The interaction between setting and timepoint indicates that despite being typically less medically complex, outpatients require ongoing support and monitoring during their recovery.

Improving access to treatment for alcohol dependence in primary care: A qualitative investigation of factors that facilitate and impede treatment access and completion.

BACKGROUND: Timely intervention for people with alcohol dependence in primary care is needed. Primary care services have a key role in supporting adults with alcohol dependence and require appropriate provision of services. OBJECTIVE: To examine the perceptions of both primary care practitioners and adults with alcohol dependence regarding service provision and to describe help seeking behaviours for adults with alcohol dependence. DESIGN AND SETTING: Qualitative study consisting of semi-structured interviews with adults with alcohol dependence, healthcare professionals and staff members of specialist alcohol services who had previous or current experience in the management, treatment, or referral of adults with alcohol dependence in Northwest England. METHOD: Interviews were conducted with ten adults with alcohol dependence and 15 staff. Data were analysed thematically, applying principles of constant comparison. RESULTS: Three themes were identified following inductive thematic analysis. The first theme, point of access relates to current service provision being reactive rather than preventative, the stigma associated with alcohol dependence and a person's preparedness to change. The second theme identified was treatment process and pathways that highlights difficulties of engagement, mental health support, direct access and person-centred support. The third theme was follow-up care and discusses the opportunities and threats of transitional support or aftercare for alcohol dependence, signposting and peer support. CONCLUSION: There are clear opportunities to support adults with alcohol dependence in primary care and the need to increase provision for timely intervention for alcohol related issues in primary care.

Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression.

Depression is a common mental health condition that often occurs in association with other chronic illnesses, and varies considerably in severity. Electronic Health Records (EHRs) contain rich information about a patient's medical history and can be used to train, test and maintain predictive models to support and improve patient care. This work evaluated the feasibility of implementing an environment for predicting mental health crisis among people living with depression based on both structured and unstructured EHRs. A large EHR from a mental health provider, Mersey Care, was pseudonymised and ingested into the Natural Language Processing (NLP) platform CogStack, allowing text content in binary clinical notes to be extracted. All unstructured clinical notes and summaries were semantically annotated by MedCAT and BioYODIE NLP services. Cases of crisis in patients with depression were then identified. Random forest models, gradient boosting trees, and Long Short-Term Memory (LSTM) networks, with varying feature arrangement, were trained to predict the occurrence of crisis. The results showed that all the prediction models can use a combination of structured and unstructured EHR information to predict crisis in patients with depression with good and useful accuracy. The LSTM network that was trained on a modified dataset with only 1000 most-important features from the random forest model with temporality showed the best performance with a mean AUC of 0.901 and a standard deviation of 0.006 using a training dataset and a mean AUC of 0.810 and 0.01 using a hold-out test dataset. Comparing the results from the technical evaluation with the views of psychiatrists shows that there are now opportunities to refine and integrate such prediction models into pragmatic point-of-care clinical decision support tools for supporting mental healthcare delivery.

Longitudinal investigation of the presence of different trajectories and associated health and socio-economic determinants, for participants who report suicidal ideation within a community-based public health survey.

OBJECTIVE: Given the paucity of evidence-based research investigating different suicidal ideation profiles and trajectories, this project sought to investigate health and socio-economic factors associated with the presence of suicidal ideation and changes in ideation over time. DESIGN: Longitudinal cohort design, using logistic regression analysis. SETTING: A public health survey was administered at two timepoints in a community setting across the North West of England. In the 2015/2016 survey, participants were recruited from high (n=20) and low (n=8) deprivation neighbourhoods. In the 2018 survey, only the 20 high-deprivation neighbourhoods were included. PARTICIPANTS: 4287 people were recruited in 2015/2016 and 3361 were recruited in 2018. The 2018 sample was subdivided into those who responded only in 2018 (n=2494: replication sample) and those who responded at both timepoints (n=867: longitudinal sample). PRIMARY OUTCOME MEASURES: Suicide ideation was the dependent variable which was assessed using item 9 of the Patient Health Questionnaire instrument. RESULTS: The prevalence of suicidal ideation was 11% (n=454/4319) at 2015/2016 and 16% (n=546/3361) at 2018.Replication study results highlighted: persistent debilitation from physical ill health and/or medication side effects; demographic factors (ie, middle-aged, single or never married); and personal coping strategies (ie, smoking) as risk factors for suicidal ideation. A static/improved financial position and high levels of empathy were protective factors.Longitudinal study results confirmed three suicidal ideation trajectories: 'onset', 'remission' and 'persistence'. Similar findings to the replication study were evidenced for the onset and persistence trajectories. Persistent suicidal ideation was synonymous with higher levels of practical support which may correspond to the higher levels of debilitation and functional disability reported within this group. Remission was characterised by fewer debilitating factors and higher levels of self-agency. CONCLUSION: A greater appreciation of the heterogeneity of suicidal trajectories should lead to the implementation of broad clinical assessments and targeted interventions.

The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity.

Background: Structured Medication Reviews (SMRs) are intended to help deliver the NHS Long Term Plan for medicines optimisation in people living with multiple long-term conditions and polypharmacy. It is challenging to gather the information needed for these reviews due to poor integration of health records across providers and there is little guidance on how to identify those patients most urgently requiring review. Objective: To extract information from scattered clinical records on how health and medications change over time, apply interpretable artificial intelligence (AI) approaches to predict risks of poor outcomes and overlay this information on care records to inform SMRs. We will pilot this approach in primary care prescribing audit and feedback systems, and co-design future medicines optimisation decision support systems. Design: DynAIRx will target potentially problematic polypharmacy in three key multimorbidity groups, namely, people with (a) mental and physical health problems, (b) four or more long-term conditions taking ten or more drugs and (c) older age and frailty. Structured clinical data will be drawn from integrated care records (general practice, hospital, and social care) covering an ∼11m population supplemented with Natural Language Processing (NLP) of unstructured clinical text. AI systems will be trained to identify patterns of conditions, medications, tests, and clinical contacts preceding adverse events in order to identify individuals who might benefit most from an SMR. Discussion: By implementing and evaluating an AI-augmented visualisation of care records in an existing prescribing audit and feedback system we will create a learning system for medicines optimisation, co-designed throughout with end-users and patients.

An exploration of young people's, parent/carers', and professionals' experiences of a voluntary sector organisation operating a Youth Information, Advice, and Counselling (YIAC) model in a disadvantaged area.

BACKGROUND: The present evaluation explored young people's, parents/carers, and healthcare professionals' perceptions of the Youth Information, Advice and Counselling (YIAC) model operated by a voluntary sector organisation in North West England. With an aim to understand the key components that contribute to enhancing the success of the YIAC model. METHOD: Semi-structured interviews and focus groups with young people, parents/carers, and healthcare professionals were conducted. Data were analysed using thematic analysis. RESULTS: Five main themes were identified from the data: 1) Accessibility and flexibility; 2) Non-clinical model and environment; 3) Staff; 4) Partnership working; and 5) Promotion of positive mental health and wellbeing. CONCLUSION: Findings highlight the importance of non-clinical, community-based, 'one-stop-shop' hubs for young people in disadvantaged areas. The key components highlighted as facilitating access and engagement include: opportunity to self-refer, choice of location, timely provision of support, non-clinical environment, age appropriate services, a non-hierarchical workforce, inclusive support for family and carers, a focus on wider, often social, issues, and collaboration with partner organisations. These findings suggest that early support hubs for young people's mental health should have consistent, long-term funding and should exist in every local area.

Community Outpatient Psychotherapy Engagement Service for Self-harm (COPESS): a feasibility trial protocol.

BACKGROUND: People who self-harm are at high risk for future suicide and often suffer considerable emotional distress. Depression is common among people who self-harm and may be an underlying driver of self-harm behaviour. Self-harm is often repeated, and risk of repetition is highest immediately after an act of self-harm. Readily accessible brief talking therapies show promise in helping people who self-harm, but further evaluation of these approaches is needed. A brief talking therapy intervention for depression and self-harm has been designed for use in a community setting. This mixed methods feasibility study with repeated measures will examine the feasibility and acceptability of the Community Outpatient Psychological Engagement Service for Self-Harm (COPESS) for people with self-harm and depression in the community, compared to routine care. METHODS: Sixty participants with a history of self-harm within the last six months, who are also currently depressed, will be recruited to take part in a feasibility single-blind randomised controlled trial (RCT). Participants will be randomised 1:1 to receive COPESS plus treatment as usual (TAU) or TAU alone. Recruitment will be via General Practitioners (GP) and self-referral. Assessment of feasibility and acceptability will be assessed via quantitative and qualitative methods including measures of recruitment and retention to the feasibility trial, participants' experience of therapy, completion/completeness of outcome measures at relevant time-points and completion of a service use questionnaire. DISCUSSION: The results will indicate whether it is feasible to conduct a definitive full trial to determine whether COPESS is a clinically and cost effective intervention for people who self-harm in the community. Qualitative and quantitative data will in addition help identify potential strengths and/or challenges of implementing brief community-based interventions for people who self-harm. TRIAL REGISTRATION: NCT04191122 registered 9th December 2019.

Subjective executive function deficits in hazardous alcohol drinkers.

BACKGROUND: Dependent alcohol drinkers exhibit differences in the structure and function of the brain, and impairments in cognitive function, including executive functions (EFs). Less is known about the impact of non-dependent but hazardous use (that which raises the risk of harm), and it is also unclear to what extent executive impairments in this cohort affect real-world function. The current study examines the relationship between alcohol use, EF and alcohol-related problems, in the general population. METHODS: A between-groups cross-sectional design assessed EF across two levels of drinking; hazardous (Alcohol Use Disorders Identification Test (AUDIT) score of ⩾8) and non-hazardous. Alcohol drinkers (n = 666; 136 male; 524 female; six not disclosed; aged 28.02 ± 10.40 years) completed validated questionnaires online assessing subjective EF, alcohol use and alcohol-related problems. RESULTS: Organisation, Strategic Planning, Impulse Control and overall function were significantly impaired in hazardous drinkers. Furthermore, the effect of alcohol on EF, partially mediated the relationship between alcohol use and alcohol-related problems. CONCLUSION: Hazardous drinking was associated with lower subjective EF, and this mediated the effect of alcohol on alcohol-related problems. This may be due to changes in prefrontal brain regions, which could indicate greater risk for the development of alcohol dependence (AD). Future research should use additional means to assess EF in hazardous drinkers, including recovery of function, development of AD and the relationship between cognition and alcohol-related daily problems.

Pilot service evaluation of a brief psychological therapy for self-harm in an emergency department: Hospital Outpatient Psychotherapy Engagement Service.

BACKGROUND: Brief psychological therapies may be helpful for people who have recently self-harmed. The current paper reports on a service evaluation of a novel brief therapy service based within an Emergency Department, Hospital Outpatient Psychotherapy Engagement (HOPE) Service. This service combines elements of psychodynamic interpersonal and cognitive analytic therapy to help people who present with self-harm-related difficulties. The primary aim of this service evaluation was to ascertain the feasibility of HOPE in terms of attendance rates. The study also examined variables associated with engagement, and change over time in psychological distress for those attending the service. METHOD: The HOPE service was evaluated over a ten-month period. Consenting patients completed measures of psychological distress and working alliance across four therapy sessions and one follow-up session. Measures of emotion regulation style and self-harm function were also completed at the point of referral. RESULTS: Eight-nine patients were referred to the service (83 eligible referrals). Fifty-three (64%) attended at least one therapy session. Baseline variables did not distinguish people who attended and people who did not. Psychological distress decreased significantly across the sessions. Most people reported a good working alliance with their therapist. CONCLUSIONS: The results of this service evaluation support the feasibility of the HOPE service, demonstrating good engagement rates given the complexity of the population and context. Whilst there was evidence of reductions in distress, randomized controlled trials are needed to determine if HOPE has clinical efficacy. PRACTITIONER POINTS: Rates of engagement with HOPE suggest the service is feasible in an Emergency Department context Working alliance scores were positive for the majority of patients The HOPE service shows promise as a brief intervention for people who self-harm but requires further evaluation Randomized controlled trials are needed to determine the clinical efficacy of the HOPE service.

Do people living in disadvantaged circumstances receive different mental health treatments than those from less disadvantaged backgrounds?

BACKGROUND: Socio-economic status (SES) has been linked to treatment outcomes for mental health problems, whilst little to no literature has explored the effects of SES on access to both medication and psychological therapy. The aim of this study was to explore whether access to mental health treatments differed by SES. METHODS: The North West Coast Household Health Survey (HHS) collected data from residents aged 18+ from across 20 disadvantaged and 8 less disadvantaged neighbourhoods in 2015, and from 20 disadvantaged neighbourhoods in 2018. Logistic regression was used to explore the effects of SES on access to treatment (medication, psychological therapy) for people who had experienced mental health problems in the past 12 months. RESULTS: Of 6860 participants, 2932 reported experiencing mental health problems in the past 12 months. People from more disadvantaged backgrounds experienced greater rates of anxiety and depression. Anti-depressant and anti-psychotic medication treatment was significantly more common in residents with lower SES, as well as counselling. Regression analysis showed that residents from more disadvantaged neighbourhoods who reported mental distress were more likely to receive medication. CONCLUSIONS: This appears to be the first study showing higher levels of treatment with medication and psychological therapy in people from disadvantaged backgrounds. Future research needs to address the underlying factors associated with increased mental health treatment uptake in people from lower socio-economic backgrounds.

Social prescribing for people with mental health needs living in disadvantaged communities: the Life Rooms model.

BACKGROUND: People live socially complex lives and have different health care needs influenced by socio-economic factors such as deprivation, unemployment, and poor housing. Lack of access to community based social care results in people seeking social support from health care services. This study explores the Life Rooms as a social prescribing model addressing the social determinants of mental health by providing support and access to resources in a local community setting. With an aim to identify key elements that contribute toward enhancing the effectiveness of the Life Rooms social prescribing approach. METHODS: Data were obtained through six semi-structured focus groups with mental health service users from two locations in the North West of the UK. Postcode data was collected to generate an Index for Multiple Deprivation (IMD) score, to understand their socio-economic background. Data were analysed using thematic analysis. RESULTS: A total of 18 participants took part in the study. The majority of participants came from disadvantaged backgrounds; 14 participants measuring 3 and below in terms of overall IMD scores and 9 participants belonged to the poorest decile (IMD score = 1). Participants reported on different elements of the Life Rooms which they found as an effective approach to care. Four main themes emerged from the data: 1) social belonging: being able to just 'be' 2) resourceful and accessible; 3) social inclusion and connectedness; and 4) moving forward: self-development and independence. CONCLUSION: Findings support the need and benefit social prescribing to improve mental health wellbeing and reduce the burden of mental illness.