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Althobiani MA, Ranjan Y, Russell AM, Jacob J, Orini M, Sankesara H, Conde P, Rashid Z, Dobson RJB, Hurst JR, Porter JC, Folarin AA. Home monitoring to detect progression of interstitial lung disease: A prospective cohort study. Respirology 2024. [PMID: 38589216 DOI: 10.1111/resp.14708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 02/29/2024] [Indexed: 04/10/2024]
Affiliation(s)
- Malik A Althobiani
- UCL Respiratory, University College London, London, UK
- Interstitial Lung Disease Service, University College London Hospital, London, UK
- Department of Respiratory Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Yatharth Ranjan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - Joseph Jacob
- UCL Respiratory, University College London, London, UK
- Satsuma Lab, Centre for Medical Image Computing, University College London Respiratory, University College London, London, UK
| | - Michele Orini
- Institute of Cardiovascular Science, University College London, London, UK
| | - Heet Sankesara
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Pauline Conde
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Zulqarnain Rashid
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Richard J B Dobson
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- NIHR Biomedical Research Centre at University College London Hospitals, NHS Foundation Trust, London, UK
| | - John R Hurst
- UCL Respiratory, University College London, London, UK
| | - Joanna C Porter
- UCL Respiratory, University College London, London, UK
- Interstitial Lung Disease Service, University College London Hospital, London, UK
| | - Amos A Folarin
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- NIHR Biomedical Research Centre at University College London Hospitals, NHS Foundation Trust, London, UK
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Richards KL, Phillips M, Grycuk L, Hyam L, Allen K, Schmidt U. Clinician perspectives of the implementation of an early intervention service for eating disorders in England: a mixed method study. J Eat Disord 2024; 12:45. [PMID: 38581055 PMCID: PMC10996085 DOI: 10.1186/s40337-024-01000-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 03/22/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND The First Episode Rapid Early Intervention for Eating Disorders (FREED) service has been shown to reduce the wait for care and improve clinical outcomes in initial evaluations. These findings led to the national scaling of FREED in England. To support this scaling, we conducted a mixed method evaluation of the perceptions and experiences of clinicians in the early phases of scaling. The Normalisation Process Theory (NPT) was used as a conceptual lens to understand if and how FREED becomes embedded in routine practice. METHODS The convergent mixed method evaluation included 21 semi-structured interviews with clinicians from early adopter sites and 211 surveys administered to clinicians before, immediately after and 3 months after the FREED training. The interview guide and survey included questions evaluating attitudes towards early intervention for eating disorders (EDs) and NPT mechanisms. Interview data were analysed using an inductive thematic analysis. The NPT was applied to the inductively derived themes to evaluate if and how NPT domains impacted the implementation. Survey data were analysed using multilevel growth models. RESULTS Six themes and 15 subthemes captured barriers and facilitators to implementation at the patient, clinician, service, intervention, implementation and wider system levels. These interacted with the NPT mechanisms to facilitate or hinder the embedding of FREED. Overall, clinicians were enthusiastic and positive towards early intervention for EDs and FREED, largely because of the expectation of improved patient outcomes. This was a considerable driver in the uptake and implementation of FREED. Clinicians also had reservations about capacity and the potential impact on other patients, which, at times, was a barrier for its use. The FREED training led to significant improvements in positive attitudes and NPT mechanisms that were largely maintained at the 3-month follow-up. However, negative attitudes did not significantly improve following training. CONCLUSIONS Positive attitudes towards early intervention for EDs increased enthusiasm and engagement with the model. Features of the model and its implementation were effective at developing adopter commitment and capabilities. However, there were aspects of the model and its implementation which require attention in the future (e.g., capacity and the potential impact on the wider service).
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Affiliation(s)
- Katie L Richards
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, SE5 8AB, UK.
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.
| | - Matthew Phillips
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, SE5 8AB, UK
| | - Luiza Grycuk
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, SE5 8AB, UK
| | - Lucy Hyam
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, SE5 8AB, UK
| | - Karina Allen
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, SE5 8AB, UK
- Eating Disorders Outpatient Service, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, UK
| | - Ulrike Schmidt
- Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, SE5 8AB, UK
- Eating Disorders Outpatient Service, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, UK
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Davies C, Bossong MG, Martins D, Wilson R, Appiah-Kusi E, Blest-Hopley G, Zelaya F, Allen P, Brammer M, Perez J, McGuire P, Bhattacharyya S. Increased hippocampal blood flow in people at clinical high risk for psychosis and effects of cannabidiol. Psychol Med 2024; 54:993-1003. [PMID: 37845827 DOI: 10.1017/s0033291723002775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2023]
Abstract
BACKGROUND Hippocampal hyperperfusion has been observed in people at Clinical High Risk for Psychosis (CHR), is associated with adverse longitudinal outcomes and represents a potential treatment target for novel pharmacotherapies. Whether cannabidiol (CBD) has ameliorative effects on hippocampal blood flow (rCBF) in CHR patients remains unknown. METHODS Using a double-blind, parallel-group design, 33 CHR patients were randomized to a single oral 600 mg dose of CBD or placebo; 19 healthy controls did not receive any drug. Hippocampal rCBF was measured using Arterial Spin Labeling. We examined differences relating to CHR status (controls v. placebo), effects of CBD in CHR (placebo v. CBD) and linear between-group relationships, such that placebo > CBD > controls or controls > CBD > placebo, using a combination of hypothesis-driven and exploratory wholebrain analyses. RESULTS Placebo-treated patients had significantly higher hippocampal rCBF bilaterally (all pFWE<0.01) compared to healthy controls. There were no suprathreshold effects in the CBD v. placebo contrast. However, we found a significant linear relationship in the right hippocampus (pFWE = 0.035) such that rCBF was highest in the placebo group, lowest in controls and intermediate in the CBD group. Exploratory wholebrain results replicated previous findings of hyperperfusion in the hippocampus, striatum and midbrain in CHR patients, and provided novel evidence of increased rCBF in inferior-temporal and lateral-occipital regions in patients under CBD compared to placebo. CONCLUSIONS These findings suggest that hippocampal blood flow is elevated in the CHR state and may be partially normalized by a single dose of CBD. CBD therefore merits further investigation as a potential novel treatment for this population.
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Affiliation(s)
- Cathy Davies
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Matthijs G Bossong
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Daniel Martins
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Robin Wilson
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Elizabeth Appiah-Kusi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Grace Blest-Hopley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Michael Brammer
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Jesus Perez
- CAMEO Early Intervention Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Institute of Biomedical Research (IBSAL), Department of Medicine, Universidad de Salamanca, Salamanca, Spain
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Sagnik Bhattacharyya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Vetere G, Williams G, Ballard C, Creese B, Hampshire A, Palmer A, Pickering E, Richards M, Brooker H, Corbett A. The relationship between playing musical instruments and cognitive trajectories: Analysis from a UK ageing cohort. Int J Geriatr Psychiatry 2024; 39:e6061. [PMID: 38281509 DOI: 10.1002/gps.6061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/10/2024] [Indexed: 01/30/2024]
Abstract
BACKGROUND The accumulation of age-associated cognitive deficits can lead to Mild Cognitive Impairment (MCI) and dementia. This is a major public health issue for the modern ageing population, as it impairs health, independence and overall quality of life. Keeping the brain active during life has been associated with an increased cognitive reserve, therefore reducing the risk of cognitive impairment in older age. Previous research has identified a potential relationship between musicality and cognition. OBJECTIVES Explore the relationship between musicality and cognitive function in a large cohort of older adults. METHODS This was a nested study within the PROTECT-UK cohort, which collects longitudinal computerised assessments of cognitive function in adults over 40. Participants were invited to complete the validated Edinburgh Lifetime Musical Experience Questionnaire (ELMEQ) to assess their musical experience and lifetime exposure to music. Linear regression analysis was performed using cognitive data from PROTECT-UK. RESULTS Analysis identified an association between musicality and cognition in this cohort. Playing a musical instrument was associated with significantly better performance in working memory and executive function. Significant associations were also found between singing and executive function, and between overall musical ability and working memory. CONCLUSIONS Our findings confirm previous literature, highlighting the potential value of education and engagement in musical activities throughout life as a means of harnessing cognitive reserve as part of a protective lifestyle for brain health.
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Affiliation(s)
- Gaia Vetere
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Gareth Williams
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Clive Ballard
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Byron Creese
- Division of Psychology, Department of Life Sciences, Brunel University, London, UK
| | - Adam Hampshire
- Division of Brain Sciences, & Dementia Research Institute Care Research & Technology Centre, Imperial College London, London, UK
| | - Abbie Palmer
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Ellie Pickering
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Megan Richards
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | | | - Anne Corbett
- University of Exeter Medical School, University of Exeter, Exeter, UK
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Tas B, Walker H, Lawn W, Matcham F, Traykova EV, Evans RAS, Strang J. What impacts the acceptability of wearable devices that detect opioid overdose in people who use opioids? A qualitative study. Drug Alcohol Rev 2024; 43:213-225. [PMID: 37596977 DOI: 10.1111/dar.13737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/26/2023] [Accepted: 07/29/2023] [Indexed: 08/21/2023]
Abstract
INTRODUCTION Drug-related deaths involving an opioid are at all-time highs across the United Kingdom. Current overdose antidotes (naloxone) require events to be witnessed and recognised for reversal. Wearable technologies have potential for remote overdose detection or response but their acceptability among people who use opioids (PWUO) is not well understood. This study explored facilitators and barriers to wearable technology acceptability to PWUO. METHODS Twenty-four participants (79% male, average age 46 years) with current (n = 15) and past (n = 9) illicit heroin use and 54% (n = 13) who were engaged in opioid substitution therapy participated in semi-structured interviews (n = 7) and three focus groups (n = 17) in London and Nottingham from March to June 2022. Participants evaluated real devices, discussing characteristics, engagement factors, target populations, implementation strategies and preferences. Conversations were recorded, transcribed and thematically analysed. RESULTS Three themes emerged: device-, person- and environment-specific factors impacting acceptability. Facilitators included inconspicuousness under the device theme and targeting subpopulations of PWUO at the individual theme. Barriers included affordability of devices and limited technology access within the environment theme. Trust in device accuracy for high and overdose differentiation was a crucial facilitator, while trust between technology and PWUO was a significant environmental barrier. DISCUSSION AND CONCLUSIONS Determinants of acceptability can be categorised into device, person and environmental factors. PWUO, on the whole, require devices that are inconspicuous, comfortable, accessible, easy to use, controlled by trustworthy organisations and highly accurate. Device developers must consider how the type of end-user and their environment moderate acceptability of the device.
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Affiliation(s)
- Basak Tas
- National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hollie Walker
- National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Will Lawn
- National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Faith Matcham
- School of Psychology, University of Sussex, Falmer, UK
| | - Elena V Traykova
- National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Rebecca A S Evans
- National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - John Strang
- National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, Denmark Hill, London, UK
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Gnan G, Asif Z, Campbell S, Dyer J, Ehsan A, Hoffmann K, Kienzler H, Mellick S, Martin N, Osei C, Rebello A, Remouche I, Rhead R, Richards D, Sabra I, Sabra S, Sterk P, Woodhead C, Hatch S. A mixed methods PAR study investigating social capital as a resource for Black and other racially minoritised communities in the UK: A study protocol. PLoS One 2023; 18:e0296125. [PMID: 38128005 PMCID: PMC10734924 DOI: 10.1371/journal.pone.0296125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023] Open
Abstract
Understanding how different Black and other racially minoritised communities thrive is an emerging priority area in mental health promotion. Literature demonstrates health benefits of social capital (social resources embedded within social networks). However, its effects are not always positive, particularly for certain subpopulations who are already disadvantaged.The CONtributions of social NEtworks to Community Thriving (CONNECT) study will use Participatory Action Research (PAR) to investigate social capital as a resource that benefits (or hinders) racially minoritised communities and their mental health. The CONNECT study was designed within a partnership with community organisations and responds to local policy in two South-East London Boroughs, thereby providing potential channels for the action component of PAR. Taking an anti-racism lens, we acknowledge the underpinning role of racism in creating health inequities. We apply an intersectional framework to be considerate of overlapping forms of oppression such as age, gender, socioeconomic status, and sexual orientation as an essential part of developing effective strategies to tackle health inequities. Key components of this mixed methods PAR study include (1) involving racialised minority community members as peer researchers in the team (2) collecting and analysing primary qualitative data via interviews, photovoice, and community mapping workshops, (3) developing relevant research questions guided by peer researchers and collaborating organisations and analysing secondary quantitative data accordingly, (4) integrating qualitative and quantitative phases, and (5) working closely with community and policy partners to act on our findings and use our research for social change.The PAR approach will allow us to engage community (voluntary sector and government) and academic partners in decision making and help address imbalances in power and resource allocation. Knowledge generated through this collaborative approach will contribute to existing community initiatives, policies, and council strategies. This will ensure the views and experiences of racially minoritised communities drive the changes we are collaboratively committed to achieving.
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Affiliation(s)
- Georgina Gnan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Zara Asif
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
- Faculty of Social Science and Public Policy, Department of Global Health and Social Medicine, School of Global Affairs, King’s College London, London, United Kingdom
| | - Sanchika Campbell
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | | | - Anna Ehsan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Katrin Hoffmann
- Centre for Global Mental Health and Health Services and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Hanna Kienzler
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
- Faculty of Social Science and Public Policy, Department of Global Health and Social Medicine, School of Global Affairs, King’s College London, London, United Kingdom
| | - Shabbir Mellick
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Nathaniel Martin
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Cheryl Osei
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Abreen Rebello
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Imade Remouche
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Rebecca Rhead
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Denise Richards
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Ibrahim Sabra
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Sara Sabra
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Pippa Sterk
- Faculty of Social Science and Public Policy, School of Education, Communication and Society, King’s College London, London, United Kingdom
| | - Charlotte Woodhead
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
| | - Stephani Hatch
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- ESRC Centre for Society and Mental Health, King’s College London, London, United Kingdom
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Patel R, Brinn A, Irving J, Chaturvedi J, Gudiseva S, Correll CU, Fusar-Poli P, McGuire P. Oral and long-acting injectable antipsychotic discontinuation and relationship to side effects in people with first episode psychosis: a longitudinal analysis of electronic health record data. Ther Adv Psychopharmacol 2023; 13:20451253231211575. [PMID: 38107162 PMCID: PMC10725124 DOI: 10.1177/20451253231211575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/12/2023] [Indexed: 12/19/2023] Open
Abstract
Background Discontinuation of treatment in people with first episode psychosis (FEP) is common, but the extent to which this is related to specific adverse effects of antipsychotic medications is unclear. Objectives To investigate whether antipsychotic discontinuation is associated with the prescription of particular antipsychotics and particular adverse effects. Design Retrospective cohort study. Methods We assembled de-identified electronic health record (EHR) data from 2309 adults with FEP who received care from the South London and Maudsley NHS Foundation Trust between 1st April 2008 and 31st March 2019. Associations between antipsychotic medications, clinician-recorded side effects and treatment discontinuation were investigated across a mean follow-up period of 34.2 months using Cox regression. Results The mean age of patients was 26.7 years and 1492 (64.6%) were male. Among first prescribed antipsychotic medications, discontinuation occurred earlier with haloperidol [hazard ratio (HR) = 2.78, 95% CI = 1.69-4.60] and quetiapine (HR = 1.43, 95% CI = 1.16-1.80) than with olanzapine. Discontinuation occurred sooner when there was evidence of extrapyramidal symptoms (HR = 1.33, 95% CI = 1.08-1.64) or sexual dysfunction (HR = 1.59, 95% CI = 1.03-2.46). Among antipsychotics prescribed at any point during treatment, lurasidone (HR = 1.40, 95% CI = 1.10-1.78) and aripiprazole (HR = 1.09, 95% CI = 1.01-1.19) were associated with earlier discontinuation than olanzapine. Conversely, clozapine (HR = 0.55, 95% CI = 0.41-0.73) and paliperidone 1-monthly (PP1M) long-acting injectable (HR = 0.80, 95% CI = 0.68-0.94) were associated with later discontinuation. Unexpectedly, for antipsychotics prescribed at any stage of treatment, sedation (HR = 0.89, 95% CI = 0.81-0.97), weight gain (HR = 0.73, 95% CI = 0.64-0.83), and multiple side effects (HR = 0.83, 95% CI = 0.76-0.90) were associated with later discontinuation. Conclusion Earlier treatment discontinuation associated with sexual or extrapyramidal side effects could be related to their rapid onset and poor tolerability. Later treatment discontinuation associated with clozapine and PP1M could be related to the relative efficacy of these treatments. These findings merit consideration when selecting antipsychotic therapy for people with FEP.
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Affiliation(s)
- Rashmi Patel
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Aimee Brinn
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Jessica Irving
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Jaya Chaturvedi
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | | | - Christoph U. Correll
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité – Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin, Humboldt Universitaet zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Paolo Fusar-Poli
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Centre, Oxford, UK
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Rowlands K, Simic M, Treasure J, Cardi V. Emotional reactivity and prosocial behaviour in response to witnessing social exclusion in adolescents with eating disorders and healthy controls. J Eat Disord 2023; 11:224. [PMID: 38098100 PMCID: PMC10722719 DOI: 10.1186/s40337-023-00927-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 11/08/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Prosocial behaviour can promote positive social interactions and it is a key skill in adolescence. People with emotional problems or psychiatric disorders, such as people with eating disorders might have impairments in prosocial behaviour, due to broader documented difficulties in underlying processes (e.g., mentalizing). METHODS The aim of this study was to examine prosocial behaviour in adolescents with eating disorders compared to healthy controls, using a computerised behavioural task. Adolescents (N = 123) including patients with eating disorders (n = 61) and healthy adolescents (n = 62) played a four-player computerised Prosocial Cyberball Game with three pre-programmed avatar players. During the task, participants witnessed the exclusion of one of the players, and subsequently had the opportunity to compensate for this by throwing the ball more often to the excluded player. Throughout the game, participants rated the level of negative emotion in themselves and in the excluded player. RESULTS Patients made significantly fewer ball tosses towards the excluded player during the compensation round compared to healthy controls (large effect size). Patients reported a significantly smaller increase in negative emotion after witnessing the exclusion and a significantly smaller decrease in negative emotion following the compensation round (large effect sizes). Patients also estimated a smaller decrease in negative emotion in the excluded player following the compensation round (medium effect size). There were no significant associations between these outcomes and eating disorder psychopathology in patients. CONCLUSIONS Compared to healthy adolescents, adolescent patients with eating disorders demonstrated less prosocial compensatory behaviour towards a computerised victim of social exclusion. In addition, they reported flatter negative emotion in themselves in response to witnessing and compensating for exclusion, and in the excluded player following compensation. If these findings are replicated, interventions to target these difficulties might contribute to improvements in social functioning in this patient group.
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Affiliation(s)
- Katie Rowlands
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Mima Simic
- South London and Maudsley NHS Foundation Trust, Maudsley Hospital, Denmark Hill, London, SE5 8AZ, UK
| | - Janet Treasure
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Valentina Cardi
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Department of General Psychology, University of Padova, Padua, Italy.
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Rogers JP, Chou MKL, Pollak TA, Eyre M, Krutikov M, Church A, Hart MS, Karim A, Michael S, Vincent A, David AS, Lewis G, Jacob S, Zandi MS. Seasonal variation and temporal relationship to the COVID-19 pandemic of NMDA receptor antibody results. J Neurol 2023; 270:5182-5187. [PMID: 37737893 PMCID: PMC10576721 DOI: 10.1007/s00415-023-11917-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/28/2023] [Accepted: 07/29/2023] [Indexed: 09/23/2023]
Affiliation(s)
- Jonathan P Rogers
- Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, Bloomsbury, London, W1T 7NF, UK.
- South London and Maudsley NHS Foundation Trust, London, UK.
| | - Michael K L Chou
- Neuroimmunology and CSF Laboratory, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Thomas A Pollak
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Michael Eyre
- Children's Neurosciences, Evelina London Children's Hospital at Guy's and St Thomas' NHS Foundation Trust, London, UK
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Maria Krutikov
- Institute of Health Informatics, University College London, London, UK
| | - Andrew Church
- Neuroimmunology and CSF Laboratory, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Melanie S Hart
- Neuroimmunology and CSF Laboratory, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
- Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, UK
| | - Abid Karim
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Sophia Michael
- Department of Neurology, University Hospitals Birmingham, Birmingham, UK
| | - Angela Vincent
- Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Anthony S David
- Institute of Mental Health, University College London, London, UK
| | - Glyn Lewis
- Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, Bloomsbury, London, W1T 7NF, UK
| | - Saiju Jacob
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
- Department of Neurology, University Hospitals Birmingham, Birmingham, UK
| | - Michael S Zandi
- Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
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10
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Berg LM, Gurr C, Leyhausen J, Seelemeyer H, Bletsch A, Schaefer T, Pretzsch CM, Oakley B, Loth E, Floris DL, Buitelaar JK, Beckmann CF, Banaschewski T, Charman T, Jones EJH, Tillmann J, Chatham CH, Bourgeron T, Murphy DG, Ecker C. The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings. Mol Autism 2023; 14:36. [PMID: 37794485 PMCID: PMC10552404 DOI: 10.1186/s13229-023-00568-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Autism spectrum disorders (ASD) are neurodevelopmental conditions accompanied by differences in brain development. Neuroanatomical differences in autism are variable across individuals and likely underpin distinct clinical phenotypes. To parse heterogeneity, it is essential to establish how the neurobiology of ASD is modulated by differences associated with co-occurring conditions, such as attention-deficit/hyperactivity disorder (ADHD). This study aimed to (1) investigate between-group differences in autistic individuals with and without co-occurring ADHD, and to (2) link these variances to putative genomic underpinnings. METHODS We examined differences in cortical thickness (CT) and surface area (SA) and their genomic associations in a sample of 533 individuals from the Longitudinal European Autism Project. Using a general linear model including main effects of autism and ADHD, and an ASD-by-ADHD interaction, we examined to which degree ADHD modulates the autism-related neuroanatomy. Further, leveraging the spatial gene expression data of the Allen Human Brain Atlas, we identified genes whose spatial expression patterns resemble our neuroimaging findings. RESULTS In addition to significant main effects for ASD and ADHD in fronto-temporal, limbic, and occipital regions, we observed a significant ASD-by-ADHD interaction in the left precentral gyrus and the right frontal gyrus for measures of CT and SA, respectively. Moreover, individuals with ASD + ADHD differed in CT to those without. Both main effects and the interaction were enriched for ASD-but not for ADHD-related genes. LIMITATIONS Although we employed a multicenter design to overcome single-site recruitment limitations, our sample size of N = 25 individuals in the ADHD only group is relatively small compared to the other subgroups, which limits the generalizability of the results. Also, we assigned subjects into ADHD positive groupings according to the DSM-5 rating scale. While this is sufficient for obtaining a research diagnosis of ADHD, our approach did not take into account for how long the symptoms have been present, which is typically considered when assessing ADHD in the clinical setting. CONCLUSION Thus, our findings suggest that the neuroanatomy of ASD is significantly modulated by ADHD, and that autistic individuals with co-occurring ADHD may have specific neuroanatomical underpinnings potentially mediated by atypical gene expression.
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Affiliation(s)
- Lisa M Berg
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany.
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany.
- Department of Biosciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany.
| | - Caroline Gurr
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Johanna Leyhausen
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
- Department of Biosciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany
| | - Hanna Seelemeyer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Anke Bletsch
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
| | - Tim Schaefer
- Fries Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, 60528, Frankfurt, Germany
| | - Charlotte M Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Bethany Oakley
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Dorothea L Floris
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Tobias Banaschewski
- Child and Adolescent Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, Malet Street, London, WC1E 7JL, UK
| | - Julian Tillmann
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Chris H Chatham
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions Unit, Institut Pasteur, Paris, France
| | - Declan G Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Deutschordenstrasse 50, 60528, Frankfurt am Main, Germany
- Brain Imaging Center, Goethe University, 60528, Frankfurt am Main, Germany
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK
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11
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Bridge L, Langford K, McMullen K, Rai L, Smith P, Rimes KA. Acceptability, feasibility and preliminary efficacy of a compassion-based cognitive behavioural intervention for low self-esteem in sexual minority young adults. Clin Psychol Psychother 2023. [PMID: 37705342 DOI: 10.1002/cpp.2911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 08/25/2023] [Accepted: 08/29/2023] [Indexed: 09/15/2023]
Abstract
Low self-esteem can impair daily functioning and is a risk or maintenance factor for several mental health problems. Sexual minority young adults, for example, those identifying as lesbian, gay or bisexual, on average have lower self-esteem than their heterosexual peers. Compassion-based interventions for low self-esteem might be especially beneficial for sexual minority young adults, whose higher levels of shame and self-criticism are likely to be contributing to maintenance of their low self-esteem. This study explored the acceptability, feasibility and preliminary efficacy of a new compassion-based cognitive behavioural intervention for low self-esteem tailored to sexual minority young adults. Participants were a community sample of 24 sexual minority young adults aged 16-24 experiencing clinically significant low self-esteem. An uncontrolled pre-/post-design was used with qualitative feedback and quantitative outcomes. Self-report standardised measures were completed at baseline, pre-intervention, intervention mid-point, post-intervention and 2-month follow up. Preliminary efficacy was examined through post-intervention changes in self-esteem, functioning, anxiety and depression. Potential mechanisms of change were examined through changes in self-compassion, self-criticism and unhelpful coping responses to minority stress. Results showed good acceptability and feasibility and preliminary evidence of intervention efficacy for improving self-esteem, functioning, depression and anxiety. There was evidence for improvement in self-compassion and reduction in self-criticism, and these constructs could be investigated in future studies as treatment mediators. Randomised controlled studies are needed to further examine efficacy of the intervention.
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Affiliation(s)
- Livia Bridge
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Katie Langford
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Katrina McMullen
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Lovedeep Rai
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Patrick Smith
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Katharine A Rimes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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12
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Scola G, Chis Ster A, Bean D, Pareek N, Emsley R, Landau S. Implementation of the trial emulation approach in medical research: a scoping review. BMC Med Res Methodol 2023; 23:186. [PMID: 37587484 PMCID: PMC10428565 DOI: 10.1186/s12874-023-02000-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 07/25/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND When conducting randomised controlled trials is impractical, an alternative is to carry out an observational study. However, making valid causal inferences from observational data is challenging because of the risk of several statistical biases. In 2016 Hernán and Robins put forward the 'target trial framework' as a guide to best design and analyse observational studies whilst preventing the most common biases. This framework consists of (1) clearly defining a causal question about an intervention, (2) specifying the protocol of the hypothetical trial, and (3) explaining how the observational data will be used to emulate it. METHODS The aim of this scoping review was to identify and review all explicit attempts of trial emulation studies across all medical fields. Embase, Medline and Web of Science were searched for trial emulation studies published in English from database inception to February 25, 2021. The following information was extracted from studies that were deemed eligible for review: the subject area, the type of observational data that they leveraged, and the statistical methods they used to address the following biases: (A) confounding bias, (B) immortal time bias, and (C) selection bias. RESULTS The search resulted in 617 studies, 38 of which we deemed eligible for review. Of those 38 studies, most focused on cardiology, infectious diseases or oncology and the majority used electronic health records/electronic medical records data and cohort studies data. Different statistical methods were used to address confounding at baseline and selection bias, predominantly conditioning on the confounders (N = 18/49, 37%) and inverse probability of censoring weighting (N = 7/20, 35%) respectively. Different approaches were used to address immortal time bias, assigning individuals to treatment strategies at start of follow-up based on their data available at that specific time (N = 21, 55%), using the sequential trial emulations approach (N = 11, 29%) or the cloning approach (N = 6, 16%). CONCLUSION Different methods can be leveraged to address (A) confounding bias, (B) immortal time bias, and (C) selection bias. When working with observational data, and if possible, the 'target trial' framework should be used as it provides a structured conceptual approach to observational research.
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Affiliation(s)
- Giulio Scola
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Anca Chis Ster
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Bean
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Health Data Research UK London, Institute of Health Informatics, University College London, London, UK
| | - Nilesh Pareek
- King's College Hospital NHS Foundation Trust, London, UK
- School of Cardiovascular and Metabolic Medicine & Sciences, BHF Centre of Excellence, King's College London, London, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sabine Landau
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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13
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Chaplin H, Bosworth A, Simpson C, Wilkins K, Meehan J, Nikiphorou E, Moss-Morris R, Lempp H, Norton S. Refractory inflammatory arthritis definition and model generated through patient and multi-disciplinary professional modified Delphi process. PLoS One 2023; 18:e0289760. [PMID: 37556424 PMCID: PMC10411820 DOI: 10.1371/journal.pone.0289760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 07/25/2023] [Indexed: 08/11/2023] Open
Abstract
OBJECTIVE Various definitions have been proposed for Refractory Disease in people with Rheumatoid Arthritis; however, none were generated for Polyarticular Juvenile Idiopathic Arthritis or involving adult and paediatric multidisciplinary healthcare professionals and patients. The study aim is to redefine Refractory Disease, using Delphi methodology. METHODS Three rounds of surveys (one nominal group and two online (2019-2020)) to achieve consensus using a predetermined cut-off were conducted voting on: a) name, b) treatment and inflammation, c) symptoms and impact domains, and d) rating of individual components within domains. Theoretical application of the definition was conducted through a scoping exercise. RESULTS Votes were collected across three rounds from Patients, Researchers and nine multi-disciplinary healthcare professional groups (n = 106). Refractory Inflammatory Arthritis was the most popular name. Regarding treatment and inflammation, these were voted to be kept broad rather than specifying numbers/cut-offs. From 10 domains identified to capture symptoms and disease impact, six domains reached consensus for inclusion: 1) Disease Activity, 2) Joint Involvement, 3) Pain, 4) Fatigue, 5) Functioning and Quality of Life, and 6) Disease-Modifying Anti-Rheumatic Drug Experiences. Within these domains, 18 components, from an initial pool (n = 73), were identified as related and important to capture multi-faceted presentation of Refractory Inflammatory Arthritis, specifically in Rheumatoid Arthritis and Polyarticular Juvenile Idiopathic Arthritis. Feasibility of the revised definition was established (2022-2023) with good utility as was applied to 82% of datasets (n = 61) incorporating 20 outcome measures, with two further measures added to increase its utility and coverage of Pain and Fatigue. CONCLUSION Refractory Inflammatory Arthritis has been found to be broader than not achieving low disease activity, with wider biopsychosocial components and factors incorporating Persistent Inflammation or Symptoms identified as important. This definition needs further refinement to assess utility as a classification tool to identify patients with unmet needs.
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Affiliation(s)
- Hema Chaplin
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Ailsa Bosworth
- National Rheumatoid Arthritis Society, White Waltham, United Kingdom
| | - Carol Simpson
- Centre for Rheumatic Diseases, King’s College London, London, United Kingdom
| | - Kate Wilkins
- Centre for Rheumatic Diseases, King’s College London, London, United Kingdom
| | - Jessica Meehan
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Elena Nikiphorou
- Centre for Rheumatic Diseases, King’s College London, London, United Kingdom
| | - Rona Moss-Morris
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Heidi Lempp
- Centre for Rheumatic Diseases, King’s College London, London, United Kingdom
| | - Sam Norton
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Centre for Rheumatic Diseases, King’s College London, London, United Kingdom
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14
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Sedgwick R, Bittar A, Kalsi H, Barack T, Downs J, Dutta R. Investigating online activity in UK adolescent mental health patients: a feasibility study using a natural language processing approach for electronic health records. BMJ Open 2023; 13:e061640. [PMID: 37230520 PMCID: PMC10230886 DOI: 10.1136/bmjopen-2022-061640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/19/2023] [Indexed: 05/27/2023] Open
Abstract
OBJECTIVES To assess the feasibility of using a natural language processing (NLP) application for extraction of free-text online activity mentions in adolescent mental health patient electronic health records (EHRs). SETTING The Clinical Records Interactive Search system allows detailed research based on deidentified EHRs from the South London and Maudsley NHS Foundation Trust, a large south London Mental Health Trust providing secondary and tertiary mental healthcare. PARTICIPANTS AND METHODS We developed a gazetteer of online activity terms and annotation guidelines, from 5480 clinical notes (200 adolescents, aged 11-17 years) receiving specialist mental healthcare. The preprocessing and manual curation steps of this real-world data set allowed development of a rule-based NLP application to automate identification of online activity (internet, social media, online gaming) mentions in EHRs. The context of each mention was also recorded manually as: supportive, detrimental or neutral in a subset of data for additional analysis. RESULTS The NLP application performed with good precision (0.97) and recall (0.94) for identification of online activity mentions. Preliminary analyses found 34% of online activity mentions were considered to have been documented within a supportive context for the young person, 38% detrimental and 28% neutral. CONCLUSION Our results provide an important example of a rule-based NLP methodology to accurately identify online activity recording in EHRs, enabling researchers to now investigate associations with a range of adolescent mental health outcomes.
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Affiliation(s)
- Rosemary Sedgwick
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - André Bittar
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Herkiran Kalsi
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Tamara Barack
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Johnny Downs
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Rina Dutta
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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15
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Kaduka L, Olale J, Karamanos A, Mutai J, Coultas C, Ahmed I, L'Esperance V, Read U, Dazzan P, Cruickshank JK, Muniu E, Harding S. Contextually appropriate communication strategies for COVID-19 prevention in Kenya border regions: evidence from a mixed methods observational study in Busia and Mandera counties. BMJ Open 2023; 13:e062686. [PMID: 37192800 PMCID: PMC10192579 DOI: 10.1136/bmjopen-2022-062686] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/02/2023] [Indexed: 05/18/2023] Open
Abstract
OBJECTIVES Kenya has long and porous borders with its neighbouring countries. These regions, predominantly inhabited by highly mobile rural communities with strong cross-border cultural ties, present major challenges in managing movement of people and COVID-19 preventive measures. Our study sought to assess knowledge of COVID-19 prevention behaviours, how these varied by socioeconomic (SEC) factors and the challenges of engagement and implementation, in two border counties of Kenya. METHODS We conducted a mixed methods study using a household e-survey (Busia, N=294; Mandera, N=288; 57% females, 43% males), and qualitative telephone interviews (N=73: Busia 55; Mandera 18) with policy actors, healthcare workers, truckers and traders, and community members. Interviews were transcribed, English translated and analysed using the framework method. Associations between SEC (wealth quintiles, educational level) and knowledge of COVID-19 preventive behaviours were explored using Poisson regression. RESULTS Participants were mostly educated to primary school level (54.4% Busia, 61.6% Mandera). Knowledge of COVID-19 prevention varied by behaviour: hand washing-86.5%, use of hand sanitiser-74.8%, wearing a face mask-63.1%, covering the mouth when sneezing or coughing-56.3% and social distancing-40.1%. Differences in knowledge by area, educational level and the wealth index were marked, greatest for Mandera, the less educated and the poor. Interviews with stakeholders revealed challenges in health messaging, psychosocial and socioeconomic factors, lack of preparedness for truck border crossings, language barrier, denial and livelihood insecurity as key challenges to engagement with and implementation of COVID-19 prevention behaviours in the border regions. CONCLUSION The influence of SEC disparities and border dynamics on knowledge and engagement with COVID-19 prevention behaviours calls for contextually appropriate risk communication strategies that are cognisant of community needs and local patterns of information flow. Coordinating response measures across border points is crucial in winning communities' trust and maintaining essential economic and social activities.
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Affiliation(s)
- Lydia Kaduka
- Centre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya
- Faculty of Life Sciences & Medicine, School of Life Course Science, King's College London, London, UK
| | - Joanna Olale
- Centre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Alexis Karamanos
- Faculty of Life Sciences & Medicine, School of Life Course Science, King's College London, London, UK
| | - Joseph Mutai
- Centre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Clare Coultas
- School of Medical Education, King's College London, London, UK
| | - Ismail Ahmed
- Centre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Veline L'Esperance
- School of Population Health and Environmental Sciences, King's College London, London, UK
| | - Ursula Read
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Paola Dazzan
- Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - John Kennedy Cruickshank
- Faculty of Life Sciences & Medicine, School of Life Course Science, King's College London, London, UK
| | - Erastus Muniu
- Centre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Seeromanie Harding
- Faculty of Life Sciences & Medicine, School of Life Course Science, King's College London, London, UK
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Pretzsch CM, Floris DL, Schäfer T, Bletsch A, Gurr C, Lombardo MV, Chatham CH, Tillmann J, Charman T, Arenella M, Jones E, Ambrosino S, Bourgeron T, Dumas G, Cliquet F, Leblond CS, Loth E, Oakley B, Buitelaar JK, Baron-Cohen S, Beckmann CF, Persico AM, Banaschewski T, Durston S, Freitag CM, Murphy DGM, Ecker C. Cross-sectional and longitudinal neuroanatomical profiles of distinct clinical (adaptive) outcomes in autism. Mol Psychiatry 2023; 28:2158-2169. [PMID: 36991132 PMCID: PMC10575772 DOI: 10.1038/s41380-023-02016-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 02/16/2023] [Accepted: 02/23/2023] [Indexed: 03/31/2023]
Abstract
Individuals with autism spectrum disorder (henceforth referred to as autism) display significant variation in clinical outcome. For instance, across age, some individuals' adaptive skills naturally improve or remain stable, while others' decrease. To pave the way for 'precision-medicine' approaches, it is crucial to identify the cross-sectional and, given the developmental nature of autism, longitudinal neurobiological (including neuroanatomical and linked genetic) correlates of this variation. We conducted a longitudinal follow-up study of 333 individuals (161 autistic and 172 neurotypical individuals, aged 6-30 years), with two assessment time points separated by ~12-24 months. We collected behavioural (Vineland Adaptive Behaviour Scale-II, VABS-II) and neuroanatomical (structural magnetic resonance imaging) data. Autistic participants were grouped into clinically meaningful "Increasers", "No-changers", and "Decreasers" in adaptive behaviour (based on VABS-II scores). We compared each clinical subgroup's neuroanatomy (surface area and cortical thickness at T1, ∆T (intra-individual change) and T2) to that of the neurotypicals. Next, we explored the neuroanatomical differences' potential genomic associates using the Allen Human Brain Atlas. Clinical subgroups had distinct neuroanatomical profiles in surface area and cortical thickness at baseline, neuroanatomical development, and follow-up. These profiles were enriched for genes previously associated with autism and for genes previously linked to neurobiological pathways implicated in autism (e.g. excitation-inhibition systems). Our findings suggest that distinct clinical outcomes (i.e. intra-individual change in clinical profiles) linked to autism core symptoms are associated with atypical cross-sectional and longitudinal, i.e. developmental, neurobiological profiles. If validated, our findings may advance the development of interventions, e.g. targeting mechanisms linked to relatively poorer outcomes.
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Affiliation(s)
- Charlotte M Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Dorothea L Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
| | - Tim Schäfer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Anke Bletsch
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Caroline Gurr
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Michael V Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Chris H Chatham
- F. Hoffmann La Roche, Innovation Center Basel, Basel, Switzerland
| | - Julian Tillmann
- F. Hoffmann La Roche, Innovation Center Basel, Basel, Switzerland
| | - Tony Charman
- Clinical Child Psychology, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Martina Arenella
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Human Genetics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Emily Jones
- Centre for Brain & Cognitive Development, University of London, London, UK
| | - Sara Ambrosino
- University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, IUF, Université Paris Cité, Paris, France
| | - Guillaume Dumas
- CHU Sainte-Justine Research Center, Department of Psychiatry, University of Montreal, Montreal, QC, Canada
| | - Freddy Cliquet
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, IUF, Université Paris Cité, Paris, France
| | - Claire S Leblond
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, IUF, Université Paris Cité, Paris, France
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Bethany Oakley
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
| | - Antonio M Persico
- Child and Adolescent Neuropsychiatry, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sarah Durston
- University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
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17
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Scott F, Hampsey E, Gnanapragasam S, Carter B, Marwood L, Taylor RW, Emre C, Korotkova L, Martín-Dombrowski J, Cleare AJ, Young AH, Strawbridge R. Systematic review and meta-analysis of augmentation and combination treatments for early-stage treatment-resistant depression. J Psychopharmacol 2023; 37:268-278. [PMID: 35861202 PMCID: PMC10076341 DOI: 10.1177/02698811221104058] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a highly burdensome health condition, for which there are numerous accepted pharmacological and psychological interventions. Adjunctive treatment (augmentation/combination) is recommended for the ~50% of MDD patients who do not adequately respond to first-line treatment. We aimed to evaluate the current evidence for concomitant approaches for people with early-stage treatment-resistant depression (TRD; defined below). METHODS We systematically searched Medline and Institute for Scientific Information Web of Science to identify randomised controlled trials of adjunctive treatment of ⩾10 adults with MDD who had not responded to ⩾1 adequate antidepressant. The cochrane risk of bias (RoB) tool was used to assess study quality. Pre-post treatment meta-analyses were performed, allowing for comparison across heterogeneous study designs independent of comparator interventions. RESULTS In total, 115 trials investigating 48 treatments were synthesised. The mean intervention duration was 9 weeks (range 5 days to 18 months) with most studies assessed to have low (n = 57) or moderate (n = 51) RoB. The highest effect sizes (ESs) were from cognitive behavioural therapy (ES = 1.58, 95% confidence interval (CI): 1.09-2.07), (es)ketamine (ES = 1.48, 95% CI: 1.23-1.73) and risperidone (ES = 1.42, 95% CI: 1.29-1.61). Only aripiprazole and lithium were examined in ⩾10 studies. Pill placebo (ES = 0.89, 95% CI: 0.81-0.98) had a not inconsiderable ES, and only six treatments' 95% CIs did not overlap with pill placebo's (aripiprazole, (es)ketamine, mirtazapine, olanzapine, quetiapine and risperidone). We report marked heterogeneity between studies for almost all analyses. CONCLUSIONS Our findings support cautious optimism for several augmentation strategies; although considering the high prevalence of TRD, evidence remains inadequate for each treatment option.
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Affiliation(s)
- Fraser Scott
- South London and Maudsley NHS
Foundation Trust, London, UK
| | - Elliot Hampsey
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
| | | | - Ben Carter
- Department of Biostatistics and Health
Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College
London, London, UK
| | - Lindsey Marwood
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
| | - Rachael W Taylor
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
| | - Cansu Emre
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
| | - Lora Korotkova
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
| | - Jonatan Martín-Dombrowski
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
| | - Anthony J Cleare
- South London and Maudsley NHS
Foundation Trust, London, UK
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
| | - Allan H Young
- South London and Maudsley NHS
Foundation Trust, London, UK
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
| | - Rebecca Strawbridge
- Department of Psychological Medicine,
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London,
UK
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18
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Stevelink SAM, Phillips A, Broadbent M, Boyd A, Dorrington S, Jewell A, Leal R, Bakolis I, Madan I, Hotopf M, Fear NT, Downs J. Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes. BMJ Open 2023; 13:e067136. [PMID: 36792321 PMCID: PMC9950921 DOI: 10.1136/bmjopen-2022-067136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Abstract
OBJECTIVES To describe the process and outcomes of a data linkage between electronic secondary mental healthcare records from the South London and Maudsley (SLaM) NHS Foundation Trust with benefits records from the Department for Work and Pensions (DWP). We also describe the mental health and benefit profile of patients who were successfully linked. DESIGN A deterministic linkage of routine records from health and welfare government service providers within a secure environment. SETTING AND PARTICIPANTS Adults aged≥18 years who were referred to or accessed treatment at SLaM services between January 2007 and June 2019, including those who were treated as part of Improving Access to Psychological Therapies (IAPT) services between January 2008 and June 2019 (n=448 404). Benefits data from the DWP from January 2005 to June 2020. OUTCOME MEASURES The linkage rate and associated sociodemographic, diagnostic and treatment factors. Recorded primary psychiatric diagnosis based on International Classification of Diseases (ICD)-10 codes and type of benefit receipt. RESULTS A linkage rate of 92.3% was achieved. Women, younger patients and those from ethnic minority groups were less likely to be successfully linked. Patients who had subsequently died, had a recorded primary psychiatric diagnosis, had also engaged with IAPT and had a higher number of historical postcodes available were more likely to be linked. Overall, 83% of patients received benefits at some point between 2005 and 2020. Benefit receipt across the psychiatric diagnosis spectrum was high, over 80% across most ICD-10 codes. CONCLUSIONS This data linkage is the first of its kind in the UK demonstrating the use of routinely collected mental health and benefits data. Benefit receipt was high among patients accessing SLaM services and varied by psychiatric diagnosis. Future areas of research are discussed, including exploring the effectiveness of interventions for helping people into work and the impact of benefit reforms.
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Affiliation(s)
- Sharon A M Stevelink
- Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- King's Centre for Military Health Research, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Ava Phillips
- Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Matthew Broadbent
- South London and Maudsley Mental Health NHS Trust, NIHR Maudsley Biomedical Research Centre, London, UK
| | - Andy Boyd
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sarah Dorrington
- Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- South London and Maudsley Mental Health NHS Trust, NIHR Maudsley Biomedical Research Centre, London, UK
| | - Amelia Jewell
- South London and Maudsley Mental Health NHS Trust, NIHR Maudsley Biomedical Research Centre, London, UK
| | - Ray Leal
- Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- King's Centre for Military Health Research, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Ioannis Bakolis
- Centre for Implementation Science, Health Services and Population Research Department, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- Department of Biostatistics and Health Informatics, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Ira Madan
- Department of Occupational Health, Guy's and St Thomas' Hospitals NHS Trust, London, UK
- King's College London, London, UK
| | - Matthew Hotopf
- Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- South London and Maudsley Mental Health NHS Trust, NIHR Maudsley Biomedical Research Centre, London, UK
| | - Nicola T Fear
- King's Centre for Military Health Research, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- Academic Department of Military Mental Health, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Johnny Downs
- Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- South London and Maudsley Mental Health NHS Trust, NIHR Maudsley Biomedical Research Centre, London, UK
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19
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Gronholm PC, Bakolis I, Cherian AV, Davies K, Evans-Lacko S, Girma E, Gurung D, Hanlon C, Hanna F, Henderson C, Kohrt BA, Lempp H, Li J, Loganathan S, Maulik PK, Ma N, Ouali U, Romeo R, Rüsch N, Semrau M, Taylor Salisbury T, Votruba N, Wahid SS, Zhang W, Thornicroft G. Toward a multi-level strategy to reduce stigma in global mental health: overview protocol of the Indigo Partnership to develop and test interventions in low- and middle-income countries. Int J Ment Health Syst 2023; 17:2. [PMID: 36732828 PMCID: PMC9896727 DOI: 10.1186/s13033-022-00564-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 10/31/2022] [Indexed: 02/04/2023] Open
Abstract
There is increasing attention to the impacts of stigma and discrimination related to mental health on quality of life and access to and quality of healthcare. Effective strategies for stigma reduction exist, but most evidence comes from high-income settings. Recent reviews of stigma research have identified gaps in the field, including limited cultural and contextual adaptation of interventions, a lack of contextual psychometric information on evaluation tools, and, most notably, a lack of multi-level strategies for stigma reduction. The Indigo Partnership research programme will address these knowledge gaps through a multi-country, multi-site collaboration for anti-stigma interventions in low- and middle-income countries (LMICs) (China, Ethiopia, India, Nepal, and Tunisia). The Indigo Partnership aims to: (1) carry out research to strengthen the understanding of mechanisms of stigma processes and reduce stigma and discrimination against people with mental health conditions in LMICs; and (2) establish a strong collaborative research consortium through the conduct of this programme. Specifically, the Indigo Partnership involves developing and pilot testing anti-stigma interventions at the community, primary care, and mental health specialist care levels, with a systematic approach to cultural and contextual adaptation across the sites. This work also involves transcultural translation and adaptation of stigma and discrimination measurement tools. The Indigo Partnership operates with the key principle of partnering with people with lived experience of mental health conditions for the development and implementation of the pilot interventions, as well as capacity building and cross-site learning to actively develop a more globally representative and equitable mental health research community. This work is envisioned to have a long-lasting impact, both in terms of the capacity building provided to participating institutions and researchers, and the foundation it provides for future research to extend the evidence base of what works to reduce and ultimately end stigma and discrimination in mental health.
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Affiliation(s)
- Petra C Gronholm
- Centre for Global Mental Health and Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Ioannis Bakolis
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Anish V Cherian
- National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Kelly Davies
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sara Evans-Lacko
- Care Policy and Evaluation Centre, London School of Economics and Political Science, Houghton Street, London, UK
| | - Eshetu Girma
- Department of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dristy Gurung
- Centre for Global Mental Health and Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Transcultural Psychosocial Organization (TPO) Nepal, Kathmandu, Nepal
| | - Charlotte Hanlon
- Centre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, WHO Collaborating Centre for Mental Health Research and Capacity-Building, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Centre for Innovative Drug Development and Therapeutic Trials for Africa, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Fahmy Hanna
- Department of Mental Health and Substance Use, World Health Organization, Geneva, Switzerland
| | - Claire Henderson
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Brandon A Kohrt
- Division of Global Mental Health, Department of Psychiatry and Behavioral Sciences, George Washington University, Washington, DC, USA
| | - Heidi Lempp
- Centre for Rheumatic Diseases, Department of Inflammation Biology, School of Immunology and Microbial Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Jie Li
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Santosh Loganathan
- National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Pallab K Maulik
- George Institute for Global Health, New Delhi, India
- Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Ning Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Uta Ouali
- Department Psychiatry A, Razi University Hospital, La Manouba, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Renee Romeo
- King's Health Economics, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Nicolas Rüsch
- Section of Public Mental Health, Department of Psychiatry II, Ulm University and BKH Günzburg, Ulm, Germany
| | - Maya Semrau
- Centre for Global Health Research, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK
| | - Tatiana Taylor Salisbury
- Centre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Nicole Votruba
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- The George Institute for Global Health, Imperial College London, London, UK
| | - Syed Shabab Wahid
- Division of Global Mental Health, Department of Psychiatry and Behavioral Sciences, George Washington University, Washington, DC, USA
- Department of Global Health, School of Health, Georgetown University, Washington, DC, USA
| | - Wufang Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Graham Thornicroft
- Centre for Global Mental Health and Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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20
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Fu CHY, Erus G, Fan Y, Antoniades M, Arnone D, Arnott SR, Chen T, Choi KS, Fatt CC, Frey BN, Frokjaer VG, Ganz M, Garcia J, Godlewska BR, Hassel S, Ho K, McIntosh AM, Qin K, Rotzinger S, Sacchet MD, Savitz J, Shou H, Singh A, Stolicyn A, Strigo I, Strother SC, Tosun D, Victor TA, Wei D, Wise T, Woodham RD, Zahn R, Anderson IM, Deakin JFW, Dunlop BW, Elliott R, Gong Q, Gotlib IH, Harmer CJ, Kennedy SH, Knudsen GM, Mayberg HS, Paulus MP, Qiu J, Trivedi MH, Whalley HC, Yan CG, Young AH, Davatzikos C. AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale. BMC Psychiatry 2023; 23:59. [PMID: 36690972 PMCID: PMC9869598 DOI: 10.1186/s12888-022-04509-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 12/29/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Efforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at the individual level, have been limited to date. As diagnostic criteria are currently symptom-based, MDD is conceptualized as a disorder rather than a disease with a known etiology; further, neural measures are often confounded by medication status and heterogeneous symptom states. METHODS We describe a consortium to quantify neuroanatomical and neurofunctional heterogeneity via the dimensions of novel multivariate coordinate system (COORDINATE-MDD). Utilizing imaging harmonization and machine learning methods in a large cohort of medication-free, deeply phenotyped MDD participants, patterns of brain alteration are defined in replicable and neurobiologically-based dimensions and offer the potential to predict treatment response at the individual level. International datasets are being shared from multi-ethnic community populations, first episode and recurrent MDD, which are medication-free, in a current depressive episode with prospective longitudinal treatment outcomes and in remission. Neuroimaging data consist of de-identified, individual, structural MRI and resting-state functional MRI with additional positron emission tomography (PET) data at specific sites. State-of-the-art analytic methods include automated image processing for extraction of anatomical and functional imaging variables, statistical harmonization of imaging variables to account for site and scanner variations, and semi-supervised machine learning methods that identify dominant patterns associated with MDD from neural structure and function in healthy participants. RESULTS We are applying an iterative process by defining the neural dimensions that characterise deeply phenotyped samples and then testing the dimensions in novel samples to assess specificity and reliability. Crucially, we aim to use machine learning methods to identify novel predictors of treatment response based on prospective longitudinal treatment outcome data, and we can externally validate the dimensions in fully independent sites. CONCLUSION We describe the consortium, imaging protocols and analytics using preliminary results. Our findings thus far demonstrate how datasets across many sites can be harmonized and constructively pooled to enable execution of this large-scale project.
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Affiliation(s)
- Cynthia H Y Fu
- Department of Psychological Sciences, University of East London, London, UK.
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
| | - Guray Erus
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Yong Fan
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Mathilde Antoniades
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Danilo Arnone
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- Department of Psychiatry and Behavioral Science, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | | | - Taolin Chen
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Ki Sueng Choi
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Cherise Chin Fatt
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, USA
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada
- Mood Disorders Treatment and Research Centre and Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, Canada
| | - Vibe G Frokjaer
- Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Psychiatry, Psychiatric Centre Copenhagen, Copenhagen, Denmark
| | - Melanie Ganz
- Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Jose Garcia
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Beata R Godlewska
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Stefanie Hassel
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Keith Ho
- Department of Psychiatry, University Health Network, Toronto, Canada
| | - Andrew M McIntosh
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Kun Qin
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Susan Rotzinger
- Department of Psychiatry, University Health Network, Toronto, Canada
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, Canada
| | - Matthew D Sacchet
- Meditation Research Program, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | | | - Haochang Shou
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
- Penn Statistics in Imaging and Visualization Endeavor (PennSIVE) Center, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, USA
| | - Ashish Singh
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Aleks Stolicyn
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Irina Strigo
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Centre, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
| | | | - Dongtao Wei
- School of Psychology, Southwest University, Chongqing, China
| | - Toby Wise
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Rachel D Woodham
- Department of Psychological Sciences, University of East London, London, UK
| | - Roland Zahn
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Ian M Anderson
- Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - J F William Deakin
- Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Boadie W Dunlop
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, USA
| | - Rebecca Elliott
- Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, USA
| | | | - Sidney H Kennedy
- Department of Psychiatry, University Health Network, Toronto, Canada
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, Canada
- Unity Health Toronto, Toronto, Canada
| | - Gitte M Knudsen
- Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helen S Mayberg
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, USA
| | | | - Jiang Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - Madhukar H Trivedi
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, USA
| | - Heather C Whalley
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
| | - Allan H Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, London, UK
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
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21
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Freitas DF, Walker S, Nyikavaranda P, Downs J, Patel R, Khondoker M, Bhui K, Hayes RD. Ethnic inequalities in involuntary admission under the Mental Health Act: an exploration of mediation effects of clinical care prior to the first admission. Br J Psychiatry 2023; 222:27-36. [PMID: 36281471 PMCID: PMC10250681 DOI: 10.1192/bjp.2022.141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/26/2022] [Accepted: 08/05/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Studies show ethnic inequalities in rates of involuntary admission and types of clinical care (such as psychological therapies). However, few studies have investigated if there is a relationship between clinical care practices and ethnic inequalities in involuntary admission. AIMS This study investigated the impact of ethnicity and clinical care on involuntary admission and the potential mediation effects of prior clinical care. METHOD In this retrospective cohort study, we used data from the electronic records of the South London and Maudsley NHS Foundation Trust and identified patients with a first hospital admission between January 2008 and May 2021. Logistic regression and mediation analyses were used to investigate the association between ethnicity and involuntary admission, and whether clinical care, in the 12 months preceding admission, mediates the association. RESULTS Compared with White British people, higher odds of involuntary admission were observed among 10 of 14 minority ethnic groups; with more than twice the odds observed among people of Asian Chinese, of Asian Bangladeshi and of any Black background. There were some ethnic differences in clinical care prior to admission, but these had a minimal impact on the inequalities in involuntary admission. More out-patient appointments and home treatment were associated with higher odds of involuntary admission, whereas psychological therapies and having a care plan were associated with reduced odds of involuntary admission. CONCLUSIONS Ethnic inequalities in involuntary admission persist after accounting for potential mediating effects of several types and frequencies of clinical care. Promoting access to psychological therapies and ensuring that care plans are in place may reduce involuntary admissions.
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Affiliation(s)
- Daniela Fonseca Freitas
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK and Department of Psychiatry, University of Oxford, UK
| | - Susan Walker
- Division of Psychiatry, University College London, UK and Great Ormond Street Institute of Child Health, University College London, UK
| | - Patrick Nyikavaranda
- Department of Primary Care & Public Health, Brighton & Sussex Medical School, University of Sussex, UK
| | - Johnny Downs
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK and South London and Maudsley NHS Foundation Trust, UK
| | - Rashmi Patel
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK and South London and Maudsley NHS Foundation Trust, UK
| | | | - Kamaldeep Bhui
- Department of Psychiatry, University of Oxford, UK and Nuffield Department of Primary Care Health Sciences, University of Oxford, UK
| | - Richard D. Hayes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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22
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Barnes GL, Emsley R, Garety P, Hardy A. Investigating Specific Associations Between Childhood Victimization Profiles and Positive Psychosis Symptoms: The Mediating Roles of Anxiety, Depression, and Schema. Schizophr Bull Open 2023; 4:sgad017. [PMID: 37398699 PMCID: PMC10313155 DOI: 10.1093/schizbullopen/sgad017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background Childhood trauma is a risk factor for psychosis. It is proposed this is due to traumatic events giving rise to psychological mechanisms that are implicated in the development and maintenance of symptoms. Investigation of the psychological mechanisms accounting for relationships between trauma and psychosis will be assisted by focusing on specific trauma profiles, hallucination modalities, and delusion subtypes. Study Design In 171 adults with schizophrenia-spectrum diagnoses and high-conviction delusions, associations between childhood trauma classes, and hallucination and delusion factors, were tested using structural equation models (SEMs). Anxiety, depression, and negative schema were examined as potential mediators of trauma class-psychosis symptom factor links. Study Results Significant associations were found between the emotional abuse/neglect and poly-victimization classes with persecutory delusions and delusions of influence, that were all mediated through anxiety (β = 1.24-0.23, P = < .05). There was an association between the physical abuse class and grandiose/religious delusions that was not explained by the mediators (β = 1.86, P = < .05). Trauma class was not significantly associated with any hallucination modality (β = 0.004-1.46, P = > .05). Conclusions In a sample of people with strongly held delusions, this study demonstrates that childhood victimization is associated with delusions of influence and grandiose beliefs, as well as with persecutory delusions in psychosis. Consistent with previous findings, the potent, mediating role of anxiety supports affective pathway theories and the utility of targeting threat-related processes when treating trauma effects in psychosis.
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Affiliation(s)
- Georgina L Barnes
- To whom correspondence should be addressed; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK; e-mail:
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Philippa Garety
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, London, UK
| | - Amy Hardy
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, London, UK
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Vyas N, Brunckhorst O, Fox L, Van Hemelrijck M, Muir G, Stewart R, Dasgupta P, Ahmed K. Undergoing radical treatment for prostate cancer and its impact on wellbeing: A qualitative study exploring men's experiences. PLoS One 2022; 17:e0279250. [PMID: 36525457 PMCID: PMC9757548 DOI: 10.1371/journal.pone.0279250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 12/03/2022] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Quality of life in prostate cancer survivorship is becoming increasingly important, with mental and social wellbeing recognised as key components. However, limited global evaluation of psychosocial challenges experienced after treatment exists. Therefore, we aimed to explore the lived experiences of men who underwent radical treatment, and its psychosocial impact. MATERIAL AND METHODS This qualitative study was conducted using 19 men who had undergone radical treatment (prostatectomy or radiotherapy) for their cancer. Semi-structured interviews were conducted exploring lived experiences of men after treatment. A Structured thematic analysis of collected data was undertaken, with an inductive co-construction of themes through the lens of the biopsychosocial model. Themes generated were considered within a psychological, social, and physical wellbeing framework. RESULTS An initial knowledge gap meant mental wellbeing was strongly impacted initially leading to a 'Diagnostic Blow and the Search for Clarity'. Doubt over individuals' future resulted in 'An Uncertain Future' in many men. Once treatment was completed a 'Reflective journey' began, with men considering their outcomes and decisions made. Social wellbeing was also impacted with many identifying the 'Emotional Repercussions' on their relationships and the impact their diagnosis had on their partner and family. Many subsequently sought to increase their support through 'The Social Network and Advocacy', while physical changes led to an increased need for 'Social Planning'. Finally, physical wellbeing was highlighted by a continual acknowledgement of the 'Natural process of ageing' leading to a reluctancy to seek help, whilst simultaneously attempting to improve existing health via 'The Health Kick'. CONCLUSIONS Radical treatments have a considerable impact on mental and social wellbeing of individuals. Anxiety after diagnosis and significant uncertainty over individual futures exist, with physical complications of treatment leading to social repercussions. Future research should aim to identify forms of support to improve quality of life of these men.
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Affiliation(s)
- Neel Vyas
- MRC Centre for Transplantation, Guy’s Hospital Campus, King’s College London, King’s Health Partners, London, United Kingdom
| | - Oliver Brunckhorst
- MRC Centre for Transplantation, Guy’s Hospital Campus, King’s College London, King’s Health Partners, London, United Kingdom
| | - Louis Fox
- Translational Oncology and Urology Research (TOUR), School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom
| | - Mieke Van Hemelrijck
- Translational Oncology and Urology Research (TOUR), School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom
| | - Gordon Muir
- Department of Urology, King’s College Hospital, London, United Kingdom
| | - Robert Stewart
- King’s College London Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Prokar Dasgupta
- MRC Centre for Transplantation, Guy’s Hospital Campus, King’s College London, King’s Health Partners, London, United Kingdom
- Urology Centre, Guy’s and St. Thomas’ NHS Foundation Trust, King’s Health Partners, London, United Kingdom
| | - Kamran Ahmed
- MRC Centre for Transplantation, Guy’s Hospital Campus, King’s College London, King’s Health Partners, London, United Kingdom
- Department of Urology, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
- Khalifa University, Abu Dhabi, United Arab Emirates
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Ronaldson A, Arias de la Torre J, Ashworth M, Hansell AL, Hotopf M, Mudway I, Stewart R, Dregan A, Bakolis I. Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study. Front Public Health 2022; 10:1035415. [PMID: 36530697 PMCID: PMC9755180 DOI: 10.3389/fpubh.2022.1035415] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/28/2022] [Indexed: 12/03/2022] Open
Abstract
Background Long-term exposure to air pollution concentrations is known to be adversely associated with a broad range of single non-communicable diseases, but its role in multimorbidity has not been investigated in the UK. We aimed to assess associations between long-term air pollution exposure and multimorbidity status, severity, and patterns using the UK Biobank cohort. Methods Multimorbidity status was calculated based on 41 physical and mental conditions. We assessed cross-sectional associations between annual modeled particulate matter (PM)2.5, PMcoarse, PM10, and nitrogen dioxide (NO2) concentrations (μg/m3-modeled to residential address) and multimorbidity status at the baseline assessment (2006-2010) in 364,144 people (mean age: 52.2 ± 8.1 years, 52.6% female). Air pollutants were categorized into quartiles to assess dose-response associations. Among those with multimorbidity (≥2 conditions; n = 156,395) we assessed associations between air pollutant exposure levels and multimorbidity severity and multimorbidity patterns, which were identified using exploratory factor analysis. Associations were explored using generalized linear models adjusted for sociodemographic, behavioral, and environmental indicators. Results Higher exposures to PM2.5, and NO2 were associated with multimorbidity status in a dose-dependent manner. These associations were strongest when we compared the highest air pollution quartile (quartile 4: Q4) with the lowest quartile (Q1) [PM2.5: adjusted odds ratio (adjOR) = 1.21 (95% CI = 1.18, 1.24); NO2: adjOR = 1.19 (95 % CI = 1.16, 1.23)]. We also observed dose-response associations between air pollutant exposures and multimorbidity severity scores. We identified 11 multimorbidity patterns. Air pollution was associated with several multimorbidity patterns with strongest associations (Q4 vs. Q1) observed for neurological (stroke, epilepsy, alcohol/substance dependency) [PM2.5: adjOR = 1.31 (95% CI = 1.14, 1.51); NO2: adjOR = 1.33 (95% CI = 1.11, 1.60)] and respiratory patterns (COPD, asthma) [PM2.5: adjOR = 1.24 (95% CI = 1.16, 1.33); NO2: adjOR = 1.26 (95% CI = 1.15, 1.38)]. Conclusions This cross-sectional study provides evidence that exposure to air pollution might be associated with having multimorbid, multi-organ conditions. Longitudinal studies are needed to further explore these associations.
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Affiliation(s)
- Amy Ronaldson
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - Jorge Arias de la Torre
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of Leon, Leon, Spain
| | - Mark Ashworth
- School of Life Course and Population Sciences, King's College London, London, United Kingdom
| | - Anna L. Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, United Kingdom
- National Institute for Health and Care Research, Health Protection Research Unit (HPRU) in Environmental Exposures and Health at the University of Leicester, Leicester, United Kingdom
| | - Matthew Hotopf
- Department of Psychological Medicine, King's College London, IoPPN and South London and Maudsley NHS Foundation Trust, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Ian Mudway
- National Institute for Health and Care Research, Health Protection Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Rob Stewart
- Department of Psychological Medicine, King's College London, IoPPN and South London and Maudsley NHS Foundation Trust, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Alex Dregan
- Department of Psychological Medicine, King's College London, IoPPN and South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Ioannis Bakolis
- Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
- Department of Biostatistics and Health Informatics, IoPPN, King's College London, London, United Kingdom
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25
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Harber-Aschan L, Bakolis I, Glozier N, Ismail K, Jayaweera K, Pannala G, Pariante C, Rijsdijk F, Siribaddana S, Sumathipala A, Zavos HMS, Zunszain P, Hotopf M. Cardiometabolic risk profiles in a Sri Lankan twin and singleton sample. PLoS One 2022; 17:e0276647. [PMCID: PMC9639827 DOI: 10.1371/journal.pone.0276647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 10/11/2022] [Indexed: 11/09/2022] Open
Abstract
Introduction
Prevention of cardiovascular disease and diabetes is a priority in low- and middle-income countries, especially in South Asia where these are leading causes of morbidity and mortality. The metabolic syndrome is a tool to identify cardiometabolic risk, but the validity of the metabolic syndrome as a clinical construct is debated. This study tested the existence of the metabolic syndrome, explored alternative cardiometabolic risk characterisations, and examined genetic and environmental factors in a South Asian population sample.
Methods
Data came from the Colombo Twin and Singleton follow-up Study, which recruited twins and singletons in Colombo, Sri Lanka, in 2012–2015 (n = 3476). Latent class analysis tested the clustering of metabolic syndrome indicators (waist circumference, high-density lipoprotein cholesterol, triglycerides, blood pressure, fasting plasma glucose, medications, and diabetes). Regression analyses tested cross-sectional associations between the identified latent cardiometabolic classes and sociodemographic covariates and health behaviours. Structural equation modelling estimated genetic and environmental contributions to cardiometabolic risk profiles. All analyses were stratified by sex (n = 1509 men, n = 1967 women).
Results
Three classes were identified in men: 1) “Healthy” (52.3%), 2) “Central obesity, high triglycerides, high fasting plasma glucose” (40.2%), and 3) “Central obesity, high triglycerides, diabetes” (7.6%). Four classes were identified in women: 1) “Healthy” (53.2%), 2) “Very high central obesity, low high-density lipoprotein cholesterol, raised fasting plasma glucose” (32.8%), 3) “Very high central obesity, diabetes” (7.2%) and 4) “Central obesity, hypertension, raised fasting plasma glucose” (6.8%). Older age in men and women, and high socioeconomic status in men, was associated with cardiometabolic risk classes, compared to the “Healthy” classes. In men, individual differences in cardiometabolic class membership were due to environmental effects. In women, genetic differences predicted class membership.
Conclusion
The findings did not support the metabolic syndrome construct. Instead, distinct clinical profiles were identified for men and women, suggesting different aetiological pathways.
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Affiliation(s)
- Lisa Harber-Aschan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
- Department Sociology, Stockholm University, Stockholm, Sweden
- * E-mail:
| | - Ioannis Bakolis
- Department of Biostatistics and Health Informatics, Department of Health Services and Population Research, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, United Kingdom
- Health Services and Population Research Department, Centre for Implementation Science, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, United Kingdom
| | | | - Khalida Ismail
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
| | | | - Gayani Pannala
- Institute for Research and Development, Colombo, Sri Lanka
| | - Carmine Pariante
- Stress, Psychiatry and Immunology Laboratory, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Fruhling Rijsdijk
- Social Genetic and Developmental Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Sisira Siribaddana
- Department of Medicine, Faculty of Medicine & Allied Health Sciences, Rajarata University of Sri Lanka, Mihintale, Sri Lanka
| | - Athula Sumathipala
- Research Institute for Primary Care & Health Sciences, Faculty of Medicine & Health Sciences, Keele University, Newcastle-under-Lyme, United Kingdom
| | - Helena M. S. Zavos
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Patricia Zunszain
- Stress, Psychiatry and Immunology Laboratory, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Matthew Hotopf
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
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26
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Patchitt J, Porffy LA, Whomersley G, Szentgyorgyi T, Brett J, Mouchlianitis E, Mehta MA, Nottage JF, Shergill SS. Alpha3/alpha2 power ratios relate to performance on a virtual reality shopping task in ageing adults. Front Aging Neurosci 2022; 14:876832. [PMID: 36212034 PMCID: PMC9540381 DOI: 10.3389/fnagi.2022.876832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 07/18/2022] [Indexed: 11/18/2022] Open
Abstract
Background Aspects of cognitive function decline with age. This phenomenon is referred to as age-related cognitive decline (ARCD). Improving the understanding of these changes that occur as part of the ageing process can serve to enhance the detection of the more incapacitating neurodegenerative disorders such as Alzheimer’s disease (AD). In this study, we employ novel methods to assess ARCD by exploring the utility of the alpha3/alpha2 electroencephalogram (EEG) power ratio – a marker of AD, and a novel virtual reality (VR) functional cognition task – VStore, in discriminating between young and ageing healthy adults. Materials and methods Twenty young individuals aged 20–30, and 20 older adults aged 60–70 took part in the study. Participants underwent resting-state EEG and completed VStore and the Cogstate Computerised Cognitive Battery. The difference in alpha3/alpha2 power ratios between the age groups was tested using t-test. In addition, the discriminatory accuracy of VStore and Cogstate were compared using logistic regression and overlying receiver operating characteristic (ROC) curves. Youden’s J statistic was used to establish the optimal threshold for sensitivity and specificity and model performance was evaluated with the DeLong’s test. Finally, alpha3/alpha2 power ratios were correlated with VStote and Cogstate performance. Results The difference in alpha3/alpha2 power ratios between age cohorts was not statistically significant. On the other hand, VStore discriminated between age groups with high sensitivity (94%) and specificity (95%) The Cogstate Pre-clinical Alzheimer’s Battery achieved a sensitivity of 89% and specificity of 60%, and Cogstate Composite Score achieved a sensitivity of 83% and specificity of 85%. The differences between the discriminatory accuracy of VStore and Cogstate models were statistically significant. Finally, high alpha3/alpha2 power ratios correlated strongly with VStore (r = 0.73), the Cogstate Pre-clinical Alzheimer’s Battery (r = -0.67), and Cogstate Composite Score (r = -0.76). Conclusion While we did not find evidence that the alpha3/alpha2 power ratio is elevated in healthy ageing individuals compared to young individuals, we demonstrated that VStore can classify age cohorts with high accuracy, supporting its utility in the assessment of ARCD. In addition, we found preliminary evidence that elevated alpha3/alpha2 power ratio may be linked to lower cognitive performance.
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Affiliation(s)
- Joel Patchitt
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Trafford Centre for Medical Research, University of Sussex, Brighton, United Kingdom
| | - Lilla A. Porffy
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- *Correspondence: Lilla A. Porffy,
| | - Gabriella Whomersley
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Timea Szentgyorgyi
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Jack Brett
- Faculty of Media and Communications, Bournemouth University, Poole, United Kingdom
| | - Elias Mouchlianitis
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- School of Psychology, University of East London, London, United Kingdom
| | - Mitul A. Mehta
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Judith F. Nottage
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
| | - Sukhi S. Shergill
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Kent and Medway Medical School, Canterbury, United Kingdom
- Kent and Medway National Health Service and Social Care Partnership Trust, Kent, United Kingdom
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Chen X, Lee KM, Villar SS, Robertson DS. Some performance considerations when using multi-armed bandit algorithms in the presence of missing data. PLoS One 2022; 17:e0274272. [PMID: 36094920 PMCID: PMC9467360 DOI: 10.1371/journal.pone.0274272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/24/2022] [Indexed: 11/21/2022] Open
Abstract
When comparing the performance of multi-armed bandit algorithms, the potential impact of missing data is often overlooked. In practice, it also affects their implementation where the simplest approach to overcome this is to continue to sample according to the original bandit algorithm, ignoring missing outcomes. We investigate the impact on performance of this approach to deal with missing data for several bandit algorithms through an extensive simulation study assuming the rewards are missing at random. We focus on two-armed bandit algorithms with binary outcomes in the context of patient allocation for clinical trials with relatively small sample sizes. However, our results apply to other applications of bandit algorithms where missing data is expected to occur. We assess the resulting operating characteristics, including the expected reward. Different probabilities of missingness in both arms are considered. The key finding of our work is that when using the simplest strategy of ignoring missing data, the impact on the expected performance of multi-armed bandit strategies varies according to the way these strategies balance the exploration-exploitation trade-off. Algorithms that are geared towards exploration continue to assign samples to the arm with more missing responses (which being perceived as the arm with less observed information is deemed more appealing by the algorithm than it would otherwise be). In contrast, algorithms that are geared towards exploitation would rapidly assign a high value to samples from the arms with a current high mean irrespective of the level observations per arm. Furthermore, for algorithms focusing more on exploration, we illustrate that the problem of missing responses can be alleviated using a simple mean imputation approach.
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Affiliation(s)
- Xijin Chen
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
| | - Kim May Lee
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Sofia S. Villar
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
| | - David S. Robertson
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
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White PD, Sharpe M, Chalder T. Evidence-Based Care for People with Chronic Fatigue Syndrome and Myalgic Encephalomyelitis. J Gen Intern Med 2022; 37:3195. [PMID: 35768677 PMCID: PMC9485299 DOI: 10.1007/s11606-022-07712-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 06/16/2022] [Indexed: 10/17/2022]
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29
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Bergou N, Hammoud R, Smythe M, Gibbons J, Davidson N, Tognin S, Reeves G, Shepherd J, Mechelli A. The mental health benefits of visiting canals and rivers: An ecological momentary assessment study. PLoS One 2022; 17:e0271306. [PMID: 36044408 PMCID: PMC9432685 DOI: 10.1371/journal.pone.0271306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/27/2022] [Indexed: 11/19/2022] Open
Abstract
Existing evidence shows positive effects of being in nature on wellbeing, but we know little about the mental health benefits of spending time near canals and rivers specifically. This study investigates the association between visits to canals and rivers and mental wellbeing. We addressed the following questions: Are visits to canals and rivers associated with higher levels of mental wellbeing? Does this association depend on age and gender? Does this association vary between people with and without a diagnosis on mental illness? We used Urban Mind, a flexible smartphone application for examining the impact of different aspects of the built and social environment on mental wellbeing, a strong predictor of mental health. Participants were invited to complete an ecological momentary assessment three times a day for fourteen days. Each assessment included questions about their surrounding environment and mental wellbeing. A total of 7,975 assessments were completed by 299 participants including 87 with a diagnosis of mental illness. Multilevel regression models were used to analyse the data. We found positive associations between visits to canals and rivers and mental wellbeing (p < .05) when compared to being anywhere else and when compared to being in green spaces. Increases in mental wellbeing were still evident after the visit had taken place. These effects remained significant after adjusting for age, gender, ethnicity and education, and were consistent in people with and without a diagnosis of mental illness. Spending time near canals and rivers is associated with better mental wellbeing. These findings have potential implications for mental health as well as urban planning and policy. Visits to canals and rivers could become part of social prescribing schemes, playing a role in preventing mental health difficulties and complementing more traditional interventions.
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Affiliation(s)
- Nicol Bergou
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Ryan Hammoud
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | | | | | | | - Stefania Tognin
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | | | | | - Andrea Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- * E-mail:
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Davis KAS, Carr E, Leightley D, Vitiello V, Bergin-Cartwright G, Lavelle G, Wickersham A, Malim MH, Oetzmann C, Polling C, Stevelink SAM, Razavi R, Hotopf M. Indicators of recent COVID-19 infection status: findings from a large occupational cohort of staff and postgraduate research students from a UK university. BMC Public Health 2022; 22:1514. [PMID: 35945541 PMCID: PMC9363143 DOI: 10.1186/s12889-022-13889-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 07/22/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Researchers conducting cohort studies may wish to investigate the effect of episodes of COVID-19 illness on participants. A definitive diagnosis of COVID-19 is not always available, so studies have to rely on proxy indicators. This paper seeks to contribute evidence that may assist the use and interpretation of these COVID-indicators. METHODS We described five potential COVID-indicators: self-reported core symptoms, a symptom algorithm; self-reported suspicion of COVID-19; self-reported external results; and home antibody testing based on a 'lateral flow' antibody (IgG/IgM) test cassette. Included were staff and postgraduate research students at a large London university who volunteered for the study and were living in the UK in June 2020. Excluded were those who did not return a valid antibody test result. We provide descriptive statistics of prevalence and overlap of the five indicators. RESULTS Core symptoms were the most common COVID-indicator (770/1882 participants positive, 41%), followed by suspicion of COVID-19 (n = 509/1882, 27%), a positive symptom algorithm (n = 298/1882, 16%), study antibody lateral flow positive (n = 124/1882, 7%) and a positive external test result (n = 39/1882, 2%), thus a 20-fold difference between least and most common. Meeting any one indicator increased the likelihood of all others, with concordance between 65 and 94%. Report of a low suspicion of having had COVID-19 predicted a negative antibody test in 98%, but positive suspicion predicted a positive antibody test in only 20%. Those who reported previous external antibody tests were more likely to have received a positive result from the external test (24%) than the study test (15%). CONCLUSIONS Our results support the use of proxy indicators of past COVID-19, with the caveat that none is perfect. Differences from previous antibody studies, most significantly in lower proportions of participants positive for antibodies, may be partly due to a decline in antibody detection over time. Subsequent to our study, vaccination may have further complicated the interpretation of COVID-indicators, only strengthening the need to critically evaluate what criteria should be used to define COVID-19 cases when designing studies and interpreting study results.
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Affiliation(s)
- Katrina A S Davis
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK.
- South London and Maudsley NHS Foundation Trust, London, UK.
| | - Ewan Carr
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Daniel Leightley
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Valentina Vitiello
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Gabriella Bergin-Cartwright
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Grace Lavelle
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Alice Wickersham
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Michael H Malim
- Faculty of Life Sciences and Medicine, King's College London School of Immunology & Microbial Sciences, London, UK
| | - Carolin Oetzmann
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Catherine Polling
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Sharon A M Stevelink
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Matthew Hotopf
- King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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Magrangeas TT, Kolliakou A, Sanyal J, Patel R, Stewart R. Investigating the relationship between thought interference, somatic passivity and outcomes in patients with psychosis: a natural language processing approach using a clinical records search platform in south London. BMJ Open 2022; 12:e057433. [PMID: 35918110 PMCID: PMC9351333 DOI: 10.1136/bmjopen-2021-057433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVES We aimed to apply natural language processing algorithms in routine healthcare records to identify reported somatic passivity (external control of sensations, actions and impulses) and thought interference symptoms (thought broadcasting, insertion, withdrawal), first-rank symptoms traditionally central to diagnosing schizophrenia, and determine associations with prognosis by analysing routine outcomes. DESIGN Four algorithms were developed on deidentified mental healthcare data and applied to ascertain recorded symptoms over the 3 months following first presentation to a mental healthcare provider in a cohort of patients with a primary schizophreniform disorder (ICD-10 F20-F29) diagnosis. SETTING AND PARTICIPANTS From the electronic health records of a large secondary mental healthcare provider in south London, 9323 patients were ascertained from 2007 to the data extraction date (25 February 2020). OUTCOMES The primary binary dependent variable for logistic regression analyses was any negative outcome (Mental Health Act section, >2 antipsychotics prescribed, >22 days spent in crisis care) over the subsequent 2 years. RESULTS Final adjusted models indicated significant associations of this composite outcome with baseline somatic passivity (prevalence 4.9%; adjusted OR 1.61, 95% CI 1.37 to 1.88), thought insertion (10.7%; 1.24, 95% CI 1.15 to 1.55) and thought withdrawal (4.9%; 1.36, 95% CI 1.10 to 1.69), but not independently with thought broadcast (10.3%; 1.05, 95% CI 0.91 to 1.22). CONCLUSIONS Symptoms traditionally central to the diagnosis of schizophrenia, but under-represented in current diagnostic frameworks, were thus identified as important predictors of short-term to medium-term prognosis in schizophreniform disorders.
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Affiliation(s)
| | - Anna Kolliakou
- Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Jyoti Sanyal
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Rashmi Patel
- Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Robert Stewart
- Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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32
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De Angel V, Lewis S, White K, Oetzmann C, Leightley D, Oprea E, Lavelle G, Matcham F, Pace A, Mohr DC, Dobson R, Hotopf M. Digital health tools for the passive monitoring of depression: a systematic review of methods. NPJ Digit Med 2022; 5:3. [PMID: 35017634 PMCID: PMC8752685 DOI: 10.1038/s41746-021-00548-8] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 11/28/2021] [Indexed: 12/27/2022] Open
Abstract
The use of digital tools to measure physiological and behavioural variables of potential relevance to mental health is a growing field sitting at the intersection between computer science, engineering, and clinical science. We summarised the literature on remote measuring technologies, mapping methodological challenges and threats to reproducibility, and identified leading digital signals for depression. Medical and computer science databases were searched between January 2007 and November 2019. Published studies linking depression and objective behavioural data obtained from smartphone and wearable device sensors in adults with unipolar depression and healthy subjects were included. A descriptive approach was taken to synthesise study methodologies. We included 51 studies and found threats to reproducibility and transparency arising from failure to provide comprehensive descriptions of recruitment strategies, sample information, feature construction and the determination and handling of missing data. The literature is characterised by small sample sizes, short follow-up duration and great variability in the quality of reporting, limiting the interpretability of pooled results. Bivariate analyses show consistency in statistically significant associations between depression and digital features from sleep, physical activity, location, and phone use data. Machine learning models found the predictive value of aggregated features. Given the pitfalls in the combined literature, these results should be taken purely as a starting point for hypothesis generation. Since this research is ultimately aimed at informing clinical practice, we recommend improvements in reporting standards including consideration of generalisability and reproducibility, such as wider diversity of samples, thorough reporting methodology and the reporting of potential bias in studies with numerous features.
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Affiliation(s)
- Valeria De Angel
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
| | - Serena Lewis
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychology, University of Bath, Bath, UK
| | - Katie White
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Carolin Oetzmann
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Leightley
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Emanuela Oprea
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Grace Lavelle
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Faith Matcham
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice Pace
- Chelsea And Westminster Hospital NHS Foundation Trust, London, UK
| | - David C Mohr
- Center for Behavioral Intervention Technologies, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Richard Dobson
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, 16 De Crespigny Park, London, SE5 8AF, UK
| | - Matthew Hotopf
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
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Abstract
PURPOSE OF REVIEW We review recent evidence on the use of neuromodulation for treating eating disorders (EDs), including anorexia nervosa, bulimia nervosa and binge eating disorder. We evaluate studies on (a) modern non-invasive methods of brain stimulation, such as transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS), (b) electroconvulsive therapy (ECT) and (c) more invasive techniques, including deep brain stimulation (DBS). RECENT FINDINGS Most reports on the clinical applications of neuromodulation in EDs are limited to case studies, case series and small clinical trials. The majority have focused on severe, enduring and hard-to-treat cases of AN. In this population, data suggest that both rTMS and DBS have therapeutic potential and are safe and acceptable. High-quality clinical trials in different ED populations are needed which investigate different stimulation methods, sites and parameters, the use of neuromodulation as stand-alone and/or adjunctive treatment, as well as the mechanisms of action.
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Affiliation(s)
- L Gallop
- Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, King's College London, Psychology & Neuroscience, London, UK
| | - M Flynn
- Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, King's College London, Psychology & Neuroscience, London, UK
| | - I C Campbell
- Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, King's College London, Psychology & Neuroscience, London, UK
| | - U Schmidt
- Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, King's College London, Psychology & Neuroscience, London, UK.
- South London and Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK.
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Epstein S, Roberts E, Sedgwick R, Finning K, Ford T, Dutta R, Downs J. Poor school attendance and exclusion: a systematic review protocol on educational risk factors for self-harm and suicidal behaviours. BMJ Open 2018; 8:e023953. [PMID: 30552271 PMCID: PMC6303662 DOI: 10.1136/bmjopen-2018-023953] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
INTRODUCTION Schools have an important role in recognising and preventing self-harm and suicidal behaviour in their students, however little is known about which educational factors are associated with heightened risk. We will systematically review the existing evidence on two key educational performance indicators that are routinely collected by school administrative systems: school attendance and exclusion. We will investigate their association with self-harm and suicidal behaviour in school-age children and adolescents. Knowledge of this association could help inform suicide prevention strategies at clinical, school and population levels. METHODS AND ANALYSIS We will conduct a systematic search of Medline, EMBASE, PsycINFO, British Education Index and Education Resources Information Centre (ERIC) from 1 January 1990, and conduct a manual search for additional references. We aim to identify studies that explore the association between poor school attendance or exclusion and self-harm or suicidal behaviours in school-age children and adolescents. Two independent reviewers will screen titles, abstracts and full-text documents and independently extract relevant data for analysis. Study quality will be assessed using a modified Newcastle-Ottawa Scale. A descriptive analysis will be performed, and where appropriate, results will be combined in meta-analyses. ETHICS AND DISSEMINATION This is a systematic review of published literature, and therefore ethical approval will not be sought. We will publish reports in health and education journals, present our work at conferences focused on school mental health and communicate our findings to practitioners and managers in public health, education and child mental health. PROSPERO REGISTRATION NUMBER CRD42018088608.
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Affiliation(s)
- Sophie Epstein
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Child and Adolescent Psychiatry, King’s College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Emmert Roberts
- South London and Maudsley NHS Foundation Trust, London, UK
- National Addiction Centre, King’s College London, London, UK
- Department of Psychological Medicine, King’s College London, London, UK
| | - Rosemary Sedgwick
- Department of Child and Adolescent Psychiatry, King’s College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | | | - Tamsin Ford
- University of Exeter Medical School, Exeter, UK
| | - Rina Dutta
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, King’s College London, London, UK
| | - Johnny Downs
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Child and Adolescent Psychiatry, King’s College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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