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Barratt J, Sharp D, Dhillo WS, Pugh C. Unwelcome changes to the Specialised Foundation Programme recruitment. Lancet 2024; 403:1333. [PMID: 38522448 DOI: 10.1016/s0140-6736(24)00418-5] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 02/27/2024] [Indexed: 03/26/2024]
Affiliation(s)
- Jonathan Barratt
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Debbie Sharp
- Centre for Academic Primary Care, University of Bristol, Bristol BS8 2PS, UK.
| | - Waljit S Dhillo
- Division of Endocrinology & Metabolism, Imperial College London, London, UK
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2
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Vinao-Carl M, Gal-Shohet Y, Rhodes E, Li J, Hampshire A, Sharp D, Grossman N. Just a phase? Causal probing reveals spurious phasic dependence of sustained attention. Neuroimage 2024; 285:120477. [PMID: 38072338 DOI: 10.1016/j.neuroimage.2023.120477] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/14/2023] [Accepted: 11/26/2023] [Indexed: 12/26/2023] Open
Abstract
For over a decade, electrophysiological studies have reported correlations between attention / perception and the phase of spontaneous brain oscillations. To date, these findings have been interpreted as evidence that the brain uses neural oscillations to sample and predict upcoming stimuli. Yet, evidence from simulations have shown that analysis artefacts could also lead to spurious pre-stimulus oscillations that appear to predict future brain responses. To address this discrepancy, we conducted an experiment in which visual stimuli were presented in time to specific phases of spontaneous alpha and theta oscillations. This allowed us to causally probe the role of ongoing neural activity in visual processing independent of the stimulus-evoked dynamics. Our findings did not support a causal link between spontaneous alpha / theta rhythms and behaviour. However, spurious correlations between theta phase and behaviour emerged offline using gold-standard time-frequency analyses. These findings are a reminder that care should be taken when inferring causal relationships between neural activity and behaviour using acausal analysis methods.
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Affiliation(s)
- M Vinao-Carl
- Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, (UK DRI), Imperial College London, London, UK.
| | - Y Gal-Shohet
- Department of Medical Physics and Engineering, University College London, London, UK
| | - E Rhodes
- Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, (UK DRI), Imperial College London, London, UK
| | - J Li
- Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, (UK DRI), Imperial College London, London, UK
| | - A Hampshire
- Department of Brain Sciences, Imperial College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, (UK DRI), Imperial College London, London, UK; UK Dementia Research Institute, Care Research and Technology Centre (UK DRI-CRT), Imperial College London, London, UK
| | - N Grossman
- Department of Brain Sciences, Imperial College London, London, UK; UK Dementia Research Institute, (UK DRI), Imperial College London, London, UK.
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3
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Curtis F, Li L, Kolanko M, Lai H, Daniels S, True J, Del Giovane M, Golemme M, Lyall R, Raza S, Hassim N, Patel A, Beal E, Walsh C, Purnell M, Whitethread N, Nilforooshan R, Norman C, Wingfield D, Barnaghi P, Sharp D, Dani M, Fertleman M, Parkinson M. 1362 ANTICHOLINERGIC PRESCRIBING HABITS AND ITS ASSOCIATIONS IN A COMMUNITY POPULATION OF PEOPLE LIVING WITH DEMENTIA. Age Ageing 2023. [DOI: 10.1093/ageing/afac322.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Abstract
Introduction
Many commonly prescribed medications have inadvertent anticholinergic effects. People with Dementia (PwD) are more vulnerable to these effects and at risk of adverse outcomes, the risk being higher with a greater degree of anticholinergic exposure. We investigated prescribing patterns and Anticholinergic burden (ACB) in a cohort of community-dwelling older adults with dementia and aimed to explore the effect of ACB on cognition, mood, and quality of life(QoL).
Method
The medication and demographic information for 87 (39 female) community-dwelling PwD were obtained from Electronic Care Summaries. We used the German Anticholinergic Burden Scale (GABS) to measure ACB. Additionally, we investigated associations between ACB and cognitive (ADAS-Cog), functional (BADL) and QoL (DemQoL) assessments.
Results
28.7% of participants had a clinically significant score (ACB> 2). The most commonly prescribed medications with ACB were Lansoprazole(18.3%), Mirtazapine(12.6%) and Codeine(12.6%). ACB was higher in males and negatively correlated with age, r(87)=-.21,p=.03. There was no association between ACB and cognition, QoL, functional independence, and neuropsychiatric symptoms. Over six months, PLWD with no ACB had a greater negative change in neuropsychiatric symptoms[t(18)=2.27,p=.04] and functional independence[t(23)=-3.8,p=.001], indicating greater dependence and worsening neuropsychiatric symptoms.
Conclusion
A third of PLWD in the community had clinically significant ACB. No ACB was associated with worsening neuropsychiatric symptoms and functional dependence over a six-month period. Community prescribers should consider regular medication reviews with PLWD and carers to ensure medications are prescribed safely and appropriately.
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Affiliation(s)
- F Curtis
- Imperial College London , Department of Brain Sciences
| | - L Li
- Imperial College London , Department of Brain Sciences
| | - M Kolanko
- Imperial College London , Department of Brain Sciences
| | - H Lai
- Imperial College London , Department of Brain Sciences
| | - S Daniels
- Imperial College London , Department of Brain Sciences
| | - J True
- Imperial College London , Department of Brain Sciences
| | - M Del Giovane
- Imperial College London , Department of Brain Sciences
| | - M Golemme
- Imperial College London , Department of Brain Sciences
| | - R Lyall
- Imperial College London , Department of Brain Sciences
| | - S Raza
- Imperial College London , Department of Brain Sciences
| | - N Hassim
- Imperial College London , Department of Brain Sciences
| | - A Patel
- Imperial College London , Department of Brain Sciences
| | - E Beal
- Imperial College London , Department of Brain Sciences
| | - C Walsh
- Imperial College London , Department of Brain Sciences
| | - M Purnell
- Imperial College London , Department of Brain Sciences
| | - N Whitethread
- Imperial College London , Department of Brain Sciences
| | | | - C Norman
- Imperial College London , Department of Brain Sciences
| | - D Wingfield
- Imperial College London , Department of Brain Sciences
| | - P Barnaghi
- Imperial College London , Department of Brain Sciences
| | - D Sharp
- Imperial College London , Department of Brain Sciences
| | - M Dani
- Imperial College London , Department of Brain Sciences
| | - M Fertleman
- Imperial College London , Department of Brain Sciences
| | - M Parkinson
- UK DRI Centre for Care Research and Technology
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4
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Parkinson M, Doherty R, Curtis F, Dani M, Fertleman M, Kolanko M, Soreq E, Barnaghi P, Sharp D, Li LM. 1415 NOVEL APPROACHES TO POST DISCHARGE CARE. REMOTE HEALTHCARE MONITORING SYSTEMS FOLLOWING TRAUMATIC BRAIN INJURY IN OLDER ADULTS. Age Ageing 2023. [DOI: 10.1093/ageing/afac322.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Abstract
Introduction
Major trauma including Traumatic Brain Injury (TBI) is an increasingly common cause of hospitalisation in older adults (OAs). We studied post-discharge recovery from TBI using a remote healthcare monitoring system that captures data on activity and sleep. We aim to assess the feasibility and acceptability of this technology to monitor recovery at home following a significant acute health event in OAs.
Methods
We installed Minder, a remote healthcare monitoring system, in recently discharged patients >60 years with moderate-severe TBI. We present descriptive analyses of post-discharge recovery for two males, corroborating data from Minder against verified activities and events. We recorded semi-structured interviews assessing acceptability. Both participants have similar household set-up, multimorbidity profiles and clinical frailty scores; however, one participant has prior cognitive impairment (PAT1), and one does not (PAT2).
Results
We present 10 weeks of sleep and activity data from Minder and feedback from interviews. Data observed from PAT1 revealed habitual patterns of activity and sleep. These remained stable, despite discrete clinical events. Conversely, PAT2's data revealed irregular sleep patterns that became increasingly fragmented. Activity was detected in multiple rooms throughout the house at night, consistent with carer reports of night-time wandering. Increased overnight activity coincided with multiple falls, prompting increased care provision. Initial feedback from interviews was the technology helped participants and those involved in their care feel supported.
Conclusions
As pressure on services mounts, novel approaches to post-discharge care are of increasing importance. Remote healthcare monitoring can provide high temporal resolution data offering ‘real world’ insights into the effects of significant health events in OAs. Our provisional results support our hypothesis that use of this technology is feasible and acceptable for frail, multimorbid participants and highlights the substantial potential of this technology to help clinicians improve community-based care and more effectively monitor interventions and chronic conditions.
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Affiliation(s)
| | - R Doherty
- Imperial College London Brain sciences,
| | - F Curtis
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - M Dani
- Imperial College London Bioengineering,
| | | | - M Kolanko
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - E Soreq
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - P Barnaghi
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - D Sharp
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - L M Li
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
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5
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 404] [Impact Index Per Article: 202.0] [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: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Affiliation(s)
- R A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - J Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
| | - S R White
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - J W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - K M Anderson
- Department of Psychology, Yale University, New Haven, CT, USA
| | - C Adamson
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S Adler
- UCL Great Ormond Street Institute for Child Health, London, UK
| | - G S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA
| | - E Anagnostou
- Department of Pediatrics University of Toronto, Toronto, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - A Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba
| | - D E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - B Auyeung
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - M Ayub
- Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
- University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK
| | - J Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - G Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - S Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - R Beare
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S A Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - V Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - J Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - M Blesa Cábez
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - J P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - M Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J F Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada
- McGill University, Montreal, Quebec, Canada
| | - N Bourke
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, Dementia Research Institute, London, UK
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - M M Chakravarty
- McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - C Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - C Chertavian
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - G Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Y S Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J H Cole
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Dementia Research Centre (DRC), University College London, London, UK
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec, Canada
- Undergraduate program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - E Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
- Autism Center of Excellence, University of California, San Diego, San Diego, CA, USA
| | - F Crivello
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
| | - V L Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - J Crosbie
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - N Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
| | - M Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - R Delorme
- Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - S Desrivieres
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G A Devenyi
- Cerebral Imaging Centre, McGill Department of Psychiatry, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M A Di Biase
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, London, UK
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - G Donohoe
- Center for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - K Dunlop
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - A D Edwards
- Centre for the Developing Brain, King's College London, London, UK
- Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, London, UK
| | - J T Elison
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - C T Ellis
- Department of Psychology, Yale University, New Haven, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - J A Elman
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - L Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - D A Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - E Feczko
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - P C Fletcher
- Department of Psychiatry, University of Cambridge, and Wellcome Trust MRC Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - P Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - C E Franz
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | | | - A Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - J Giedd
- Department of Child and Adolescent Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - D C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - I M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - P E Grant
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - F M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - C F Hammill
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Mouse Imaging Centre, Toronto, Ontario, Canada
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - T Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin, Germany
| | - R N Henson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - K Heuer
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Université de Paris, Paris, France
| | - J Hoare
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - B Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, India
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, NIMHANS, Bengaluru, India
| | - A J Holmes
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - R Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Im
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ipser
- Department of Psychiatry and Mental Health, Clinical Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - C R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - A P Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry, Beijing, China
| | - T Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - K A Johnson
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - P B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - D T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - R S Kahn
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - H Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - L Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - R Kawashima
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - E A Kelley
- Queen's University, Departments of Psychology and Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - K W Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - M G Kitzbichler
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - W S Kremen
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - F Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - B Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - S Lee
- Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - J Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - J Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - W Liao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - M V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - J Lv
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- School of Biomedical Engineering and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - C Lynch
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - T T Mallard
- Department of Psychology, University of Texas, Austin, TX, USA
| | - M Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
| | - R D Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - B Mazoyer
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A Mechelli
- Bordeaux University Hospital, Bordeaux, France
| | - N Medic
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S E Morgan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - D Mothersill
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
- School of Psychology and Center for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - J Nigg
- Department of Psychiatry, School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - M Q W Ong
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - C Ortinau
- Department of Pediatrics, Washington University in St Louis, St Louis, MO, USA
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - M Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L Palaniyappan
- Robarts Research Institute and The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - L Paly
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - P M Pan
- Department of Psychiatry, Federal University of Sao Poalo (UNIFESP), Sao Poalo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Melbourne School of Engineering, The University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - M M Park
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - T Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Z Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - D Paz-Linares
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - A Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - K Pierce
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - X Qian
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - A Qiu
- Department of Biomedical Engineering, The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - A Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - T Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - A Rodrigue
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - C K Rollins
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - R Romero-Garcia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Dpto. de Fisiología Médica y Biofísica, Seville, Spain
| | - L Ronan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - M D Rosenberg
- Department of Psychology and Neuroscience Institute, University of Chicago, Chicago, IL, USA
| | - D H Rowitch
- Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - G A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - H L Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
| | - R J Schachar
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - A P Schultz
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - G Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- PONS-Centre, Charite Mental Health, Dept of Psychiatry and Psychotherapy, Charite Campus Mitte, Berlin, Germany
| | - M Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen's Square Institute of Neurology, University College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - R T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - C D Smyser
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - R A Sperling
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - D J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - A Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - G Sullivan
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Y Taki
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - B Thyreau
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - R Toro
- Université de Paris, Paris, France
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - N Traut
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - K A Tsvetanov
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - N B Turk-Browne
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - J J Tuulari
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Medicine, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
| | - C Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - É Vachon-Presseau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - P A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Alan Edwards Centre for Research on Pain (AECRP), McGill University, Montreal, Quebec, Canada
| | - S L Valk
- Institute for Neuroscience and Medicine 7, Forschungszentrum Jülich, Jülich, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - T van Amelsvoort
- Department of Psychiatry and Neurosychology, Maastricht University, Maastricht, The Netherlands
| | - S N Vandekar
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Vasung
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - L W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - S Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - P E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - K Wagstyl
- Wellcome Centre for Human Neuroimaging, London, UK
| | - Y S Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - S K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - V Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - E Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M L Westwater
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - N Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - B Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - H Yun
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - H J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - J H Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - H Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
| | - X N Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain and Education, School of Education Science, Nanning Normal University, Nanning, China
| | - E T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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Mears R, Salway R, Sharp D, Shield JPH, Jago R. A longitudinal study investigating change in BMI z-score in primary school-aged children and the association of child BMI z-score with parent BMI. BMC Public Health 2020; 20:1902. [PMID: 33302899 PMCID: PMC7731748 DOI: 10.1186/s12889-020-10001-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 12/02/2020] [Indexed: 01/22/2023] Open
Abstract
Background This paper aims to explore change in BMI z-score through childhood and the association between parent BMI and child BMI z-score. This is important to understand for the development of effective obesity interventions. Methods Data from the longitudinal B-ProAct1v study (1837 participants) were analysed. A paired sample t-test examined changes in child BMI z-score between Year 1 and 4. Multivariable linear regression models examined the cross-sectional associations between child BMI z-score and parent BMI in Year 1 and 4. The influence of change in parental BMI between Year 1 and Year 4 on child BMI z-score in Year 4 was explored through regression analyses, adjusted for baseline BMI z-score. Results There was a strong association between child BMI z-score at Year 1 and 4. Child mean BMI z-score score increased from 0.198 to 0.330 (p = < 0.005) between these timepoints. For every unit increase in parent BMI, there was an increase in child BMI z-score of 0.047 in Year 1 (p = < 0.005) and of 0.059 in Year 4 (p = < 0.005). Parental BMI change was not significantly associated with Year 4 child BMI z-score. Conclusion The key indicator of higher child BMI at Year 4 is high BMI at Year 1. Further studies are needed to explore the impact of parental weight change on child BMI z-score and whether interventions targeted at overweight or obese parents, can improve their child’s BMI z-score.
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Affiliation(s)
- R Mears
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK. .,Centre for Exercise Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 1TZ, UK.
| | - R Salway
- Centre for Exercise Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 1TZ, UK
| | - D Sharp
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - J P H Shield
- NIHR Bristol Biomedical Research Centre, Nutrition Theme, University of Bristol, Bristol, BS1 2NT, UK.,Faculty of Health Sciences, University of Bristol, Bristol, BS2 8DZ, UK
| | - R Jago
- Centre for Exercise Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 1TZ, UK
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7
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Duffy L, Lewis G, Ades A, Araya R, Bone J, Brabyn S, Button K, Churchill R, Croudace T, Derrick C, Dixon P, Dowrick C, Fawsitt C, Fusco L, Gilbody S, Harmer C, Hobbs C, Hollingworth W, Jones V, Kendrick T, Kessler D, Khan N, Kounali D, Lanham P, Malpass A, Munafo M, Pervin J, Peters T, Riozzie D, Robinson J, Salaminios G, Sharp D, Thom H, Thomas L, Welton N, Wiles N, Woodhouse R, Lewis G. Antidepressant treatment with sertraline for adults with depressive symptoms in primary care: the PANDA research programme including RCT. Programme Grants Appl Res 2019. [DOI: 10.3310/pgfar07100] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background
Despite a growing number of prescriptions for antidepressants (over 70 million in 2018), there is uncertainty about when people with depression might benefit from antidepressant medication and concern that antidepressants are prescribed unnecessarily.
Objectives
The main objective of the PANDA (What are the indications for Prescribing ANtiDepressAnts that will lead to a clinical benefit?) research programme was to provide more guidance about when antidepressants are likely to benefit people with depression. We aimed to estimate the minimal clinically important difference for commonly used self-administered scales for depression and anxiety, and to understand more about how patients respond to such assessments. We carried out an observational study of patients with depressive symptoms and a placebo-controlled randomised controlled trial of sertraline versus placebo to estimate the treatment effect in UK primary care. The hypothesis was that the severity and duration of symptoms were related to treatment response.
Design
The programme consisted of three phases. The first phase relied on the secondary analysis of existing data extracted from published trials. The second phase was the PANDA cohort study of patients with depressive symptoms who presented to primary care and were followed up 2, 4 and 6 weeks after a baseline assessment. Both quantitative and qualitative methods were used in the analysis. The third phase was a multicentre randomised placebo-controlled double-blind trial of sertraline versus placebo in patients presenting to primary care with depressive symptoms.
Setting
UK primary care in Bristol, London, Liverpool and York.
Participants
Patients aged 18–74 years who were experiencing depressive symptoms in primary care. Eligibility for the PANDA randomised controlled trial included that there was uncertainty about the benefits about treatment with an antidepressant.
Interventions
In the PANDA randomised controlled trial, patients were individually randomised to 100 mg daily of sertraline or an identical placebo. The PANDA cohort study was an observational study.
Main outcome measures
Depressive symptoms measured using the Patient Health Questionnaire were the primary outcome for the randomised controlled trial. Other outcomes included anxiety symptoms using the Generalised Anxiety Disorder-7; depressive symptoms using the Beck Depression Inventory, version 2; health-related quality of life; self-reported improvement; and cost-effectiveness.
Results
The secondary analysis of existing randomised controlled trials [GENetic and clinical Predictors Of treatment response in Depression (GenPod), TREAting Depression with physical activity (TREAD) and Clinical effectiveness and cost-effectiveness of cognitive Behavioural Therapy as an adjunct to pharmacotherapy for treatment-resistant depression in primary care (CoBalT)] found evidence that the minimal clinically important difference increased as the initial severity of depressive symptoms rose. Our estimates of minimal clinically important difference were a 17% and 18% reduction in Beck Depression Inventory scores for GenPod and TREAD, respectively. In CoBalT, a 32% reduction corresponded to the minimal clinically important difference but the participants in this study had depression that had not responded to antidepressants. In the PANDA study cohort, and from our analyses in existing data, we found that the minimal clinically important difference varies considerably with the initial severity of depressive and anxiety symptoms. Expressing the minimal clinically important difference as a percentage reduction reduces this variation at higher scores, but at low scores the percentage reduction increased substantially. The results from the qualitative studies pointed out many limitations of the Patient Health Questionnaire-9 items in assessing change and recovery from depression. In the PANDA randomised controlled trial, there was no evidence that sertraline resulted in a reduction in depressive symptoms within 6 weeks of randomisation, but there was some evidence of a reduction by 12 weeks. However, sertraline led to a reduction in anxiety symptoms, an improvement of mental health-related quality of life and an increased likelihood of reporting improvement. The mean Patient Health Questionnaire-9 items score at 6 weeks was 7.98 (standard deviation 5.63) in the sertraline group and 8.76 (standard deviation 5.86) in the placebo group (5% relative reduction, 95% confidence interval –7% to 15%; p = 0.41). Of the secondary outcomes, there was strong evidence that sertraline reduced anxiety symptoms (Generalised Anxiety Disorder-7 score reduced by 17% (95% confidence interval 9% to 25%; p = 0.00005). Sertraline had a high probability (> 90%) of being cost-effective at 12 weeks. The PANDA randomised controlled trial found no evidence that treatment response or cost-effectiveness was related to severity or duration of depressive symptoms. The minimal clinically important difference estimates suggested that sertraline’s effect on anxiety, but not on depression, was likely to be clinically important.
Limitations
The results from the randomised controlled trial and the estimates of minimal clinically important difference were not sufficiently precise to provide specific clinical guidance for individuals. We had low power in testing whether or not initial severity and duration of depressive symptoms are related to treatment response.
Conclusions
The results of the trial support the use of sertraline and probably other selective serotonin reuptake inhibitors because of their action in reducing anxiety symptoms and the likelihood of longer-term benefit on depressive symptoms. Sertraline could be prescribed for anxiety symptoms that commonly occur with depression and many patients will experience a clinical benefit. The Patient Health Questionnaire-9 items and similar self-administered scales should not be used on their own to assess clinical outcome, but should be supplemented with further clinical assessment.
Future work
We need to examine the longer-term effects of antidepressant treatment. We need more precise estimates of the treatment effects and minimal clinically important difference at different severities to provide more specific guidance for individuals. However, the methods we have developed provide an approach towards providing such detailed guidance.
Trial registration
Current Controlled Trials ISRCTN84544741 and EudraCT number 2013-003440-22.
Funding
This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 7, No. 10. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Larisa Duffy
- Division of Psychiatry, University College London, London, UK
| | - Gemma Lewis
- Division of Psychiatry, University College London, London, UK
| | - Anthony Ades
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Ricardo Araya
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Jessica Bone
- Division of Psychiatry, University College London, London, UK
| | - Sally Brabyn
- Department of Health Sciences, University of York, York, UK
| | | | - Rachel Churchill
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Tim Croudace
- School of Nursing and Health Studies, University of Dundee, Dundee, UK
| | | | - Padraig Dixon
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Christopher Dowrick
- Institute of Psychology Health and Society, University of Liverpool, Liverpool, UK
| | | | - Louise Fusco
- Institute of Psychology Health and Society, University of Liverpool, Liverpool, UK
| | - Simon Gilbody
- Department of Health Sciences, University of York, York, UK
| | | | | | | | - Vivien Jones
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Tony Kendrick
- Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - David Kessler
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Naila Khan
- Institute of Psychology Health and Society, University of Liverpool, Liverpool, UK
| | - Daphne Kounali
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Paul Lanham
- Patient and public involvement contributor, UK
| | - Alice Malpass
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Marcus Munafo
- Department of Psychology and Integrated Epidemiology Unit, University of Bristol, Bristol, UK
| | - Jodi Pervin
- Department of Health Sciences, University of York, York, UK
| | - Tim Peters
- Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Jude Robinson
- Department of Sociology, Social Policy and Criminology, University of Liverpool, Liverpool, UK
| | | | - Debbie Sharp
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Howard Thom
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Laura Thomas
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Nicky Welton
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Nicola Wiles
- Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Glyn Lewis
- Division of Psychiatry, University College London, London, UK
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8
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Radcliff S, Sharp D, Ha E, Baker E. Assessment of the Knowledge and Perception of MyPlate and Dietary Trends amongst Undergraduate College Students. J Acad Nutr Diet 2019. [DOI: 10.1016/j.jand.2019.08.133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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9
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Zetterberg H, Winblad B, Bernick C, Yaffe K, Majdan M, Johansson G, Newcombe V, Nyberg L, Sharp D, Tenovuo O, Blennow K. Head trauma in sports - clinical characteristics, epidemiology and biomarkers. J Intern Med 2019; 285:624-634. [PMID: 30481401 DOI: 10.1111/joim.12863] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Traumatic brain injury (TBI) is clinically divided into a spectrum of severities, with mild TBI being the least severe form and a frequent occurrence in contact sports, such as ice hockey, American football, rugby, horse riding and boxing. Mild TBI is caused by blunt nonpenetrating head trauma that causes movement of the brain and stretching and tearing of axons, with diffuse axonal injury being a central pathogenic mechanism. Mild TBI is in principle synonymous with concussion; both have similar criteria in which the most important elements are acute alteration or loss of consciousness and/or post-traumatic amnesia following head trauma and no apparent brain changes on standard neuroimaging. Symptoms in mild TBI are highly variable and there are no validated imaging or fluid biomarkers to determine whether or not a patient with a normal computerized tomography scan of the brain has neuronal damage. Mild TBI typically resolves within a few weeks but 10-15% of concussion patients develop postconcussive syndrome. Repetitive mild TBI, which is frequent in contact sports, is a risk factor for a complicated recovery process. This overview paper discusses the relationships between repetitive head impacts in contact sports, mild TBI and chronic neurological symptoms. What are these conditions, how common are they, how are they linked and can they be objectified using imaging or fluid-based biomarkers? It gives an update on the current state of research on these questions with a specific focus on clinical characteristics, epidemiology and biomarkers.
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Affiliation(s)
- H Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,UK Dementia Research Institute at UCL, London, UK.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
| | - B Winblad
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Neurogeriatrics, Karolinska Institutet, Huddinge, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - C Bernick
- Neurological Institute, Cleveland Clinic, Las Vegas, NV, USA
| | - K Yaffe
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA.,San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - M Majdan
- Department of Public Health, Faculty of Health Sciences and Social Work, Trnava University, Trnava, Slovakia
| | - G Johansson
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Neurogeriatrics, Karolinska Institutet, Huddinge, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - V Newcombe
- Division of Anaesthesia, University of Cambridge, Addenbrookes Hospital, Cambridge, Cambs, UK
| | - L Nyberg
- Centre for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - D Sharp
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - O Tenovuo
- Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.,Department of Neurology, University of Turku, Turku, Finland
| | - K Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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10
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Villegas G, Tar M, Suadicani S, Sharp D, Davies K. 072 The Inflammatory Response and FL2 (an inhibitor of axonal growth) is Deferentially Modulated in Animal Models of Nerve Sparing Prostatectomy and Laparotomy. J Sex Med 2019. [DOI: 10.1016/j.jsxm.2019.01.083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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11
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Baker L, Tar M, Nacharaju P, Friedman J, Davies K, Sharp D. 068 Depletion of the Microtubule Severing Enzyme Fidgetin-like 2 Promotes Nerve Regeneration and Improves Erectile Function in a Rodent Model of Radical Prostatectomy. J Sex Med 2019. [DOI: 10.1016/j.jsxm.2019.01.079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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12
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Violante I, Li L, Sharp D. Theta-tACS normalizes brain network activity in patients with traumatic brain injury. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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13
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Ferrari G, Feder G, Agnew-Davies R, Bailey JE, Hollinghurst S, Howard L, Howarth E, Sardinha L, Sharp D, Peters TJ. Psychological advocacy towards healing (PATH): A randomized controlled trial of a psychological intervention in a domestic violence service setting. PLoS One 2018; 13:e0205485. [PMID: 30481183 PMCID: PMC6258512 DOI: 10.1371/journal.pone.0205485] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [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: 03/02/2017] [Accepted: 08/28/2018] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Experience of domestic violence and abuse (DVA) is associated with mental illness. Advocacy has little effect on mental health outcomes of female DVA survivors and there is uncertainty about the effectiveness of psychological interventions for this population. OBJECTIVE To test effectiveness of a psychological intervention delivered by advocates to DVA survivors. DESIGN, MASKING, SETTING, PARTICIPANTS Pragmatic parallel group individually randomized controlled trial of normal DVA advocacy vs. advocacy + psychological intervention. Statistician and researchers blinded to group assignment. Setting: specialist DVA agencies; two UK cities. Participants: Women aged 16 years and older accessing DVA services. INTERVENTION Eight specialist psychological advocacy (SPA) sessions with two follow up sessions. MEASUREMENTS Primary outcomes at 12 months: depression symptoms (PHQ-9) and psychological distress (CORE-OM). Primary analysis: intention to treat linear (logistic) regression model for continuous (binary) outcomes. RESULTS 263 women recruited (78 in shelter/refuge, 185 in community), 2 withdrew (1 community, control group; 1 intervention, refuge group), 1 was excluded from the study for protocol violation (community, control group), 130 in intervention and 130 in control groups. Recruitment ended June 2013. 12-month follow up: 64%. At 12-month follow up greater improvement in mental health of women in the intervention group. Difference in average CORE-OM score between intervention and control groups: -3.3 points (95% CI -5.5 to -1.2). Difference in average PHQ-9 score between intervention and control group: -2.2 (95% CI -4.1 to -0.3). At 12 months, 35% of the intervention group and 55% of the control group were above the CORE-OM -2clinical threshold (OR 0.32, 95% CI 0.16 to 0.64); 29% of the intervention group and 46% of the control group were above the PHQ-9 clinical threshold (OR 0.41, 95% CI 0.21 to 0.81). LIMITATIONS 64% retention at 12 months. CONCLUSIONS An eight-session psychological intervention delivered by DVA advocates produced clinically relevant improvement in mental health outcomes compared with normal advocacy care. TRIAL REGISTRATION ISRCTN registry ISRCTN58561170 Original Research 3675/3750.
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Affiliation(s)
- Giulia Ferrari
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Department of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London United Kingdom
| | - Gene Feder
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | | | - Jayne E. Bailey
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sandra Hollinghurst
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Louise Howard
- Section of Women’s Mental Health, PO31 King’s College London, London, United Kingdom
| | - Emma Howarth
- NIHR CLAHRC East of England, Douglas House, Cambridge, United Kingdom
| | - Lynnmarie Sardinha
- School for Policy Studies, University of Bristol, Bristol, United Kingdom
| | - Debbie Sharp
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Tim J. Peters
- Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Gnatiuc L, Herrington WG, Halsey J, Tuomilehto J, Fang X, Kim HC, De Bacquer D, Dobson AJ, Criqui MH, Jacobs DR, Leon DA, Peters SAE, Ueshima H, Sherliker P, Peto R, Collins R, Huxley RR, Emberson JR, Woodward M, Lewington S, Aoki N, Arima H, Arnesen E, Aromaa A, Assmann G, Bachman DL, Baigent C, Bartholomew H, Benetos A, Bengtsson C, Bennett D, Björkelund C, Blackburn H, Bonaa K, Boyle E, Broadhurst R, Carstensen J, Chambless L, Chen Z, Chew SK, Clarke R, Cox C, Curb JD, D'Agostino R, Date C, Davey Smith G, De Backer G, Dhaliwal SS, Duan XF, Ducimetiere P, Duffy S, Eliassen H, Elwood P, Empana J, Garcia-Palmieri MH, Gazes P, Giles GG, Gillis C, Goldbourt U, Gu DF, Guasch-Ferre M, Guize L, Haheim L, Hart C, Hashimoto S, Hashimoto T, Heng D, Hjermann I, Ho SC, Hobbs M, Hole D, Holme I, Horibe H, Hozawa A, Hu F, Hughes K, Iida M, Imai K, Imai Y, Iso H, Jackson R, Jamrozik K, Jee SH, Jensen G, Jiang CQ, Johansen NB, Jorgensen T, Jousilahti P, Kagaya M, Keil J, Keller J, Kim IS, Kita Y, Kitamura A, Kiyohara Y, Knekt P, Knuiman M, Kornitzer M, Kromhout D, Kronmal R, Lam TH, Law M, Lee J, Leren P, Levy D, Li YH, Lissner L, Luepker R, Luszcz M, MacMahon S, Maegawa H, Marmot M, Matsutani Y, Meade T, Morris J, Morris R, Murayama T, Naito Y, Nakachi K, Nakamura M, Nakayama T, Neaton J, Nietert PJ, Nishimoto Y, Norton R, Nozaki A, Ohkubo T, Okayama A, Pan WH, Puska P, Qizilbash N, Reunanen A, Rimm E, Rodgers A, Saitoh S, Sakata K, Sato S, Schnohr P, Schulte H, Selmer R, Sharp D, Shifu X, Shimamoto K, Shipley M, Silbershatz H, Sorlie P, Sritara P, Suh I, Sutherland SE, Sweetnam P, Tamakoshi A, Tanaka H, Thomsen T, Tominaga S, Tomita M, Törnberg S, Tunstall-Pedoe H, Tverdal A, Ueshima H, Vartiainen E, Wald N, Wannamethee SG, Welborn TA, Whincup P, Whitlock G, Willett W, Woo J, Wu ZL, Yao SX, Yarnell J, Yokoyama T, Yoshiike N, Zhang XH. Sex-specific relevance of diabetes to occlusive vascular and other mortality: a collaborative meta-analysis of individual data from 980 793 adults from 68 prospective studies. Lancet Diabetes Endocrinol 2018; 6:538-546. [PMID: 29752194 PMCID: PMC6008496 DOI: 10.1016/s2213-8587(18)30079-2] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 02/20/2018] [Accepted: 02/26/2018] [Indexed: 01/06/2023]
Abstract
BACKGROUND Several studies have shown that diabetes confers a higher relative risk of vascular mortality among women than among men, but whether this increased relative risk in women exists across age groups and within defined levels of other risk factors is uncertain. We aimed to determine whether differences in established risk factors, such as blood pressure, BMI, smoking, and cholesterol, explain the higher relative risks of vascular mortality among women than among men. METHODS In our meta-analysis, we obtained individual participant-level data from studies included in the Prospective Studies Collaboration and the Asia Pacific Cohort Studies Collaboration that had obtained baseline information on age, sex, diabetes, total cholesterol, blood pressure, tobacco use, height, and weight. Data on causes of death were obtained from medical death certificates. We used Cox regression models to assess the relevance of diabetes (any type) to occlusive vascular mortality (ischaemic heart disease, ischaemic stroke, or other atherosclerotic deaths) by age, sex, and other major vascular risk factors, and to assess whether the associations of blood pressure, total cholesterol, and body-mass index (BMI) to occlusive vascular mortality are modified by diabetes. RESULTS Individual participant-level data were analysed from 980 793 adults. During 9·8 million person-years of follow-up, among participants aged between 35 and 89 years, 19 686 (25·6%) of 76 965 deaths were attributed to occlusive vascular disease. After controlling for major vascular risk factors, diabetes roughly doubled occlusive vascular mortality risk among men (death rate ratio [RR] 2·10, 95% CI 1·97-2·24) and tripled risk among women (3·00, 2·71-3·33; χ2 test for heterogeneity p<0·0001). For both sexes combined, the occlusive vascular death RRs were higher in younger individuals (aged 35-59 years: 2·60, 2·30-2·94) than in older individuals (aged 70-89 years: 2·01, 1·85-2·19; p=0·0001 for trend across age groups), and, across age groups, the death RRs were higher among women than among men. Therefore, women aged 35-59 years had the highest death RR across all age and sex groups (5·55, 4·15-7·44). However, since underlying confounder-adjusted occlusive vascular mortality rates at any age were higher in men than in women, the adjusted absolute excess occlusive vascular mortality associated with diabetes was similar for men and women. At ages 35-59 years, the excess absolute risk was 0·05% (95% CI 0·03-0·07) per year in women compared with 0·08% (0·05-0·10) per year in men; the corresponding excess at ages 70-89 years was 1·08% (0·84-1·32) per year in women and 0·91% (0·77-1·05) per year in men. Total cholesterol, blood pressure, and BMI each showed continuous log-linear associations with occlusive vascular mortality that were similar among individuals with and without diabetes across both sexes. INTERPRETATION Independent of other major vascular risk factors, diabetes substantially increased vascular risk in both men and women. Lifestyle changes to reduce smoking and obesity and use of cost-effective drugs that target major vascular risks (eg, statins and antihypertensive drugs) are important in both men and women with diabetes, but might not reduce the relative excess risk of occlusive vascular disease in women with diabetes, which remains unexplained. FUNDING UK Medical Research Council, British Heart Foundation, Cancer Research UK, European Union BIOMED programme, and National Institute on Aging (US National Institutes of Health).
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16
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Sharp D. Long-term inflammatory and neurodegenerative consequences of traumatic brain injury. J Neurol Sci 2017. [DOI: 10.1016/j.jns.2017.08.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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O'Donnell CA, Rosenthal J, Moore M, Francis N, Sharp D, Jones R, Mallen C, Campbell J. General practice needs ongoing commitment to training budgets. BMJ 2017; 357:j2401. [PMID: 28522694 DOI: 10.1136/bmj.j2401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Catherine A O'Donnell
- General Practice and Primary Care, University of Glasgow, Institute of Health and Wellbeing, Glasgow G12 9LX, UK
| | | | | | | | | | - Roger Jones
- British Journal of General Practice, London, UK
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Tashani OA, Astita R, Sharp D, Johnson MI. Body mass index and distribution of body fat can influence sensory detection and pain sensitivity. Eur J Pain 2017; 21:1186-1196. [DOI: 10.1002/ejp.1019] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2017] [Indexed: 12/12/2022]
Affiliation(s)
- O. A Tashani
- School of Clinical and Applied Sciences; Leeds Beckett University; UK
| | - R. Astita
- School of Clinical and Applied Sciences; Leeds Beckett University; UK
- Higher Institute of Medical Professions; Al-Bayda Libya
| | - D. Sharp
- School of Clinical and Applied Sciences; Leeds Beckett University; UK
| | - M. I Johnson
- School of Clinical and Applied Sciences; Leeds Beckett University; UK
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Li L, Violante I, Ross E, Leech R, Hampshire A, Carmichael D, Sharp D. P115 A tale of two networks: a simultaneous Fmri-tDCS study of anodal versus cathodal stimulation. Clin Neurophysiol 2017. [DOI: 10.1016/j.clinph.2016.10.238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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20
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Plant DT, Pawlby S, Sharp D, Zunszain PA, Pariante CM. Prenatal maternal depression is associated with offspring inflammation at 25 years: a prospective longitudinal cohort study. Transl Psychiatry 2016; 6:e936. [PMID: 27801895 PMCID: PMC5314108 DOI: 10.1038/tp.2015.155] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Revised: 08/19/2015] [Accepted: 09/06/2015] [Indexed: 12/23/2022] Open
Abstract
Animal studies and a handful of prospective human studies have demonstrated that young offspring exposed to maternal prenatal stress show abnormalities in immune parameters and hypothalamic-pituitary-adrenal (HPA) axis function. No study has examined the effect of maternal prenatal depression on offspring inflammation and HPA axis activity in adulthood, nor the putative role of child maltreatment in inducing these abnormalities. High-sensitivity C-reactive protein (hs-CRP) and awakening cortisol were measured at age 25 in 103 young-adult offspring of the South London Child Development Study (SLCDS), a prospective longitudinal birth cohort of mother-offspring dyads recruited in pregnancy in 1986. Maternal prenatal depression was assessed in pregnancy at 20 and 36 weeks; offspring child maltreatment (birth 17 years) was assessed at offspring ages 11, 16 and 25; and offspring adulthood depression (18-25 years) was assessed at age 25. Exposure to maternal prenatal depression predicted significantly elevated offspring hs-CRP at age 25 (odds ratio=11.8, 95% confidence interval (CI) (1.1, 127.0), P=0.041), independently of child maltreatment and adulthood depression, known risk factors for adulthood inflammation. In contrast, maternal prenatal depression did not predict changes in offspring adulthood cortisol; however, offspring exposure to child maltreatment did, and was associated with elevated awakening cortisol levels (B=161.9, 95% CI (45.4, 278.4), P=0.007). Fetal exposure to maternal depression during pregnancy has effects on immune function that persist for up to a quarter of a century after birth. Findings are consistent with the developmental origins of health and disease (DOHaD) hypothesis for the biological embedding of gestational psychosocial adversity into vulnerability for future physical and mental illness.
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Affiliation(s)
- D T Plant
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK,Stress, Psychiatry and Immunology Laboratory, Section of Perinatal Psychiatry, G.30 Maurice Wohl Clinical Neuroscience Institute, 5 Cutcombe Road, London SE5 9RT, UK. E-mail:
| | - S Pawlby
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - D Sharp
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - P A Zunszain
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - C M Pariante
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Huntley AL, King AJ, Moore TH, Paterson C, Persad R, Sharp D, Evans M. Methodological exemplar of integrating quantitative and qualitative evidence - supportive care for men with prostate cancer: what are the most important components? J Adv Nurs 2016; 73:5-20. [DOI: 10.1111/jan.13082] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/29/2016] [Indexed: 11/28/2022]
Affiliation(s)
- Alyson L. Huntley
- Centre for Academic Primary Care; School of Social and Community Medicine; University of Bristol; UK
| | - Anna J.L. King
- Centre for Academic Primary Care; School of Social and Community Medicine; University of Bristol; UK
| | - Theresa H.M. Moore
- The National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) at University Hospitals Bristol NHS Foundation Trust; UK
- School of Social and Community Medicine; University of Bristol; UK
| | - Charlotte Paterson
- Centre for Academic Primary Care; School of Social and Community Medicine; University of Bristol; UK
| | - Raj Persad
- Bristol Urological Institute Southmead Hospital; Bristol UK
| | - Debbie Sharp
- Centre for Academic Primary Care; School of Social and Community Medicine; University of Bristol; UK
| | - Maggie Evans
- Centre for Academic Primary Care; School of Social and Community Medicine; University of Bristol; UK
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Beaumont K, Hill D, Daignault S, Sharp D, Gabrielli B, Weninger W, Haass N. 654 Cell cycle phase-specific drug resistance as an escape mechanism of melanoma cells. J Invest Dermatol 2016. [DOI: 10.1016/j.jid.2016.02.695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Cotton P, Sharp D, Howe A, Starkey C, Hibble A, Laue B, Benson J. Developing a Set of Quality Criteria for Community-Based Medical Education in the UK. Education for Primary Care 2015; 20:143-51. [DOI: 10.1080/14739879.2009.11493785] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Carter N, Crofts M, Garrett F, Clarke M, Nicholls J, Wheeler H, Sharp D, Horner P. P09.02 Reattendance rates in men presenting with symptoms of urethritis – can point of care testing for chlamydia and gonorrhoea improve outcomes? Br J Vener Dis 2015. [DOI: 10.1136/sextrans-2015-052270.386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Carter N, Crofts M, Clarke M, Wheeler H, Sharp D, Horner P. P151 Reattendance rates in men presenting with symptoms of urethritis – should we be doing better? Br J Vener Dis 2015. [DOI: 10.1136/sextrans-2015-052126.194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Moore THM, King AJL, Evans M, Sharp D, Persad R, Huntley AL. Supportive care for men with prostate cancer: why are the trials not working? A systematic review and recommendations for future trials. Cancer Med 2015; 4:1240-51. [PMID: 25828811 PMCID: PMC4559035 DOI: 10.1002/cam4.446] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2014] [Revised: 02/05/2015] [Accepted: 02/11/2015] [Indexed: 11/29/2022] Open
Abstract
Men with prostate cancer are likely to have a long illness and experience psychological distress for which supportive care may be helpful. This systematic review describes the evidence for effectiveness and cost-effectiveness of supportive care for men with prostate cancer, taking into account treatment pathway and components of interventions. MEDLINE, EMBASE, CINAHL, CENTRAL, and Psychinfo were searched from inception––July 2013 for randomized controlled trials and controlled trials. Two authors independently assessed risk of bias and extracted data. Twenty-six studies were included (2740 participants). Interventions were delivered pre and during (n = 12), short-term (n = 8), and longer term (18 months) (n = 5) after primary treatment. No interventions were delivered beyond this time. Few trials recruited ethnic minorities and none recruited men in same sex relationships. Intervention components included information, education, health professional discussion, homework, peer discussion, buddy support, cognitive behavioral therapy, cognitive restructuring, psychoeducation, Reiki and relaxation. Most interventions were delivered for 5–10 weeks. Risk of bias of trials was assessed as unclear for most domains due to lack of information. The majority of trials measuring quality of life and depression found no effect. Relatively few trials measured anxiety, coping skills and self-efficacy, and the majority found no effect. No cost data were available. Trials of supportive care for men with prostate cancer cover a range of interventions but are limited by population diversity, inconsistent measurement and reporting of outcomes, and inability to assess risk of bias. Recommendations on design and conduct of future trials are presented.
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Affiliation(s)
- Theresa Helen Mazzarello Moore
- Academic Unit of Primary Care, School of Social and Community Medicine, University of Bristol, Canynge Hall, Bristol, BS8 2PA, UK
| | - Anna Jyoti Louise King
- Academic Unit of Primary Care, School of Social and Community Medicine, University of Bristol, Canynge Hall, Bristol, BS8 2PA, UK
| | - Maggie Evans
- Academic Unit of Primary Care, School of Social and Community Medicine, University of Bristol, Canynge Hall, Bristol, BS8 2PA, UK
| | - Debbie Sharp
- Academic Unit of Primary Care, School of Social and Community Medicine, University of Bristol, Canynge Hall, Bristol, BS8 2PA, UK
| | - Raj Persad
- Academic Unit of Primary Care, School of Social and Community Medicine, University of Bristol, Canynge Hall, Bristol, BS8 2PA, UK
| | - Alyson Louise Huntley
- Academic Unit of Primary Care, School of Social and Community Medicine, University of Bristol, Canynge Hall, Bristol, BS8 2PA, UK
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Hamilton-Shield J, Goodred J, Powell L, Thorn J, Banks J, Hollinghurst S, Montgomery A, Turner K, Sharp D. Changing eating behaviours to treat childhood obesity in the community using Mandolean: the Community Mandolean randomised controlled trial (ComMando)--a pilot study. Health Technol Assess 2015; 18:i-xxiii, 1-75. [PMID: 25043221 DOI: 10.3310/hta18470] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Around one in five children in England is obese when they leave primary school. Thus far, it has not been demonstrated that primary care interventions to manage childhood obesity can achieve significant weight reduction. Training obese children to eat more slowly as an adjunct to other healthy lifestyle behaviour change has been shown to increase weight reduction in a hospital setting. OBJECTIVES This pilot study aimed to test recruitment strategies, treatment adherence, clinic attendance and participants' experiences of using a device [Mandolean® (previously Mandometer®, Mikrodidakt AB, Lund, Sweden)] to slow down speed of eating as an adjunct to dietary and activity advice in treating obesity in primary school-aged children. DESIGN A two-arm, parallel, randomised controlled trial with a qualitative study embedded within the pilot. Randomisation occurred after informed consent and baseline measures were collected. Participants were randomised by the Bristol Randomised Trials Collaboration randomisation service with allocation stratified by hub and minimised by age of the child, gender, and baseline body mass index (BMI) standard deviation score (BMI z-value) of the child, and by BMI of the study parent (obese/not obese). SETTING General practices across Bristol, North Somerset and South Gloucestershire primary care trusts. PARTICIPANTS Children (BMI ≥ 95th percentile) aged 5-11 years and their families. INTERVENTION Standard care comprised dietary and activity advice by trained practice nurses. Adjunctive Mandolean training (the intervention) educated participants to eat meals more slowly and to rate levels of fullness (satiety). Mandolean is a small computer device attached to a weighing scale that provides visual and oral feedback during meals while generating a visual representation of levels of satiety during the meal. Participants were encouraged to eat their main meal each day from the Mandolean. One parent was also given a Mandolean to use when eating with the child. OUTCOME MEASURES Outcomes for the pilot were recruitment of 36 families to the trial in the 9-month pilot phase, that meals would be eaten at least five times a week off a Mandolean by 90% of patients randomised to the intervention arm, that 80% of patients in both arms would attend the weight management clinic appointment 3 months post randomisation and that > 60% of children using Mandolean would demonstrate a reduction in speed of eating from baseline within 3 months of randomisation. RESULTS None of the criteria for progression to the main trial were reached. Despite numerous pathways being available for referral, only 21 (13 to standard care, eight to intervention arm; 58%) of the target 36 families were recruited in the pilot phase. Less than 20% of those randomised to Mandolean used the device at least five times a week. The > 60% target for slowing down of eating speed by 3 months was unmet. Attendance at the weight management clinic in general practice hubs for both arms of the study at 3 months was 44% against a target of 80%. CONCLUSIONS This pilot trial failed to meet its objectives in terms of recruitment, treatment adherence, demonstration of a reduction in speed of eating in sufficient numbers of children, and attendance at follow-up appointments. Despite a high prevalence of childhood obesity in the geographical area and practices signing up for the trial, this study, like many others, demonstrates a failure of families to engage with and respond to primary care weight management interventions. We need to understand why the target population seems inured to the health message that childhood obesity is a significant health-care issue and identify the barriers to seeking help and then acting on positive health behaviour retraining. Only when we have fully understood the general public's perceptions of childhood obesity and have identified ways of engaging target populations can we hope to develop interventions that can work in a primary or community-based setting. TRIAL REGISTRATION Current Controlled Trials ISRCTN90561114. FUNDING This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 18, No. 47. See the NIHR Journals Library website for further project information.
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Affiliation(s)
| | - Joanna Goodred
- Centre for Academic Primary Care, School of Social and Community Medicine, UniversityofBristol, Bristol, UK
| | - Lesley Powell
- Centre for Academic Primary Care, School of Social and Community Medicine, UniversityofBristol, Bristol, UK
| | - Joanna Thorn
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Jon Banks
- Centre for Academic Primary Care, School of Social and Community Medicine, UniversityofBristol, Bristol, UK
| | - Sandra Hollinghurst
- Centre for Academic Primary Care, School of Social and Community Medicine, UniversityofBristol, Bristol, UK
| | - Alan Montgomery
- Nottingham Clinical Trials Unit, University of Nottingham, Queens Medical Centre, Nottingham, UK
| | - Katrina Turner
- Centre for Academic Primary Care, School of Social and Community Medicine, UniversityofBristol, Bristol, UK
| | - Debbie Sharp
- Centre for Academic Primary Care, School of Social and Community Medicine, UniversityofBristol, Bristol, UK
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Affiliation(s)
| | - Debbie Sharp
- Centre for Academic Primary Care, University of Bristol, Bristol, UK
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King AJL, Evans M, Moore THM, Paterson C, Sharp D, Persad R, Huntley AL. Prostate cancer and supportive care: a systematic review and qualitative synthesis of men's experiences and unmet needs. Eur J Cancer Care (Engl) 2015; 24:618-34. [PMID: 25630851 PMCID: PMC5024073 DOI: 10.1111/ecc.12286] [Citation(s) in RCA: 117] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2014] [Indexed: 12/02/2022]
Abstract
Prostate cancer is the second most common cancer in men worldwide, accounting for an estimated 1.1 million new cases diagnosed in 2012 (www.globocan.iarc.fr). Currently, there is a lack of specific guidance on supportive care for men with prostate cancer. This article describes a qualitative systematic review and synthesis examining men's experience of and need for supportive care. Seven databases were searched; 20 journal articles were identified and critically appraised. A thematic synthesis was conducted in which descriptive themes were drawn out of the data. These were peer support, support from partner, online support, cancer specialist nurse support, self‐care, communication with health professionals, unmet needs (emotional support, information needs, support for treatment‐induced side effects of incontinence and erectile dysfunction) and men's suggestions for improved delivery of supportive care. This was followed by the development of overarching analytic themes which were: uncertainty, reframing, and the timing of receiving treatment, information and support. Our results show that the most valued form of support men experienced following diagnosis was one‐to‐one peer support and support from partners. This review highlights the need for improved access to cancer specialist nurses throughout the care pathway, individually tailored supportive care and psychosexual support for treatment side effects.
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Affiliation(s)
- A J L King
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - M Evans
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - T H M Moore
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - C Paterson
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - D Sharp
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - R Persad
- Urology, Bristol Urological Institute Southmead Hospital, Bristol, UK
| | - A L Huntley
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
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Locker J, Fitzgerald P, Sharp D. Antibacterial validation of electrogenerated hypochlorite using carbon-based electrodes. Lett Appl Microbiol 2014; 59:636-41. [PMID: 25179583 DOI: 10.1111/lam.12324] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2014] [Revised: 08/06/2014] [Accepted: 08/23/2014] [Indexed: 11/30/2022]
Abstract
UNLABELLED This proof-of-concept study explores the novel use of carbon-based electrodes for the electrochemical generation of hypochlorite and compares the antimicrobial efficacy against commercial hypochlorite solution. Antimicrobial concentrations of hypochlorite were generated using pad-printed carbon and carbon fibre electrodes, yielding up to 0·027% hypochlorite in 60 min and 0·1% hypochlorite in 15 min, respectively, in a nondivided assembly. The minimum inhibitory concentration (MIC) of the electrogenerated hypochlorite produced using carbon fibre electrodes was established for four medically important bacteria (Pseudomonas aeruginosa and Staphylococcus aureus approx. 0·025%, Escherichia coli and Enterococcus faecalis approx. 0·012%) and found to be in agreement with those determined using commercial hypochlorite solution. Therefore, carbon-based electrodes, particularly carbon fibre, have proven effective for the generation of antimicrobial concentrations of hypochlorite. The similarity of the MIC values to commercial hypochlorite solutions suggests that the antimicrobial efficacy is derived from the quantified hypochlorite generated and not due to marked cogeneration of reactive oxygen species, as identified for other assemblies. As such, the application of carbon electrodes may be suitable for the local production of hypochlorite for healthcare antisepsis. SIGNIFICANCE AND IMPACT OF THE STUDY Carbon fibre electrodes can rapidly generate antimicrobial concentrations of hypochlorite; as such, these cheap and commercially available electrodes are proposed for the local production of hypochlorite for healthcare antisepsis. Importantly, the antimicrobial properties of the electrochemically generated hypochlorite mirror those of commercial hypochlorite, suggesting this is not enhanced by the cogeneration of reactive oxygen species. This illustrates the potential use of disposable carbon electrodes for localized small-volume production of hypochlorite for surface and skin cleansing, and opens a broader scope of research into the exploitation of carbon electrodes for this application.
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Affiliation(s)
- J Locker
- Biomedicine, Faculty of Health and Social Sciences, Leeds Metropolitan University, Leeds, UK
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Simmonds B, Fox K, Davis M, Ku PW, Gray S, Hillsdon M, Sharp D, Stathi A, Thompson J, Coulson J, Trayers T. Objectively assessed physical activity and subsequent health service use of UK adults aged 70 and over: a four to five year follow up study. PLoS One 2014; 9:e97676. [PMID: 24866573 PMCID: PMC4035293 DOI: 10.1371/journal.pone.0097676] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2013] [Accepted: 04/23/2014] [Indexed: 01/30/2023] Open
Abstract
Objectives To examine the associations between volume and intensity of older peoples' physical activity, with their subsequent health service usage over the following four to five years. Study Design A prospective cohort design using baseline participant characteristics, objectively assessed physical activity and lower limb function provided by Project OPAL (Older People and Active Living). OPAL-PLUS provided data on numbers of primary care consultations, prescriptions, unplanned hospital admissions, and secondary care referrals, extracted from medical records for up to five years following the baseline OPAL data collection. Participants and Data Collection OPAL participants were a diverse sample of 240 older adults with a mean age of 78 years. They were recruited from 12 General Practitioner surgeries from low, middle, and high areas of deprivation in a city in the West of England. Primary care consultations, secondary care referrals, unplanned hospital admissions, number of prescriptions and new disease diagnoses were assessed for 213 (104 females) of the original 240 OPAL participants who had either consented to participate in OPAL-PLUS or already died during the follow-up period. Results In regression modelling, adjusted for socio-economic variables, existing disease, weight status, minutes of moderate-to-vigorous physical activity (MVPA) per day predicted subsequent numbers of prescriptions. Steps taken per day and MVPA also predicted unplanned hospital admissions, although the strength of the effect was reduced when further adjustment was made for lower limb function. Conclusions Community-based programs are needed which are successful in engaging older adults in their late 70s and 80s in more walking, MVPA and activity that helps them avoid loss of physical function. There is a potential for cost savings to health services through reduced reliance on prescriptions and fewer unplanned hospital admissions.
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Affiliation(s)
- Bethany Simmonds
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, United Kingdom
| | - Kenneth Fox
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, United Kingdom; School of Sport & Exercise Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Mark Davis
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, United Kingdom
| | - Po-Wen Ku
- Graduate Institute of Sports and Health, National Changhua University of Education, Changhua City, Changua, Taiwan
| | - Selena Gray
- Department of Health and Applied Social Sciences, University of the West of England, Bristol, United Kingdom
| | - Melvyn Hillsdon
- Sport and Health Sciences, Exeter University, Exeter, United Kingdom
| | - Debbie Sharp
- The School of Social and Community Medicine, The University of Bristol, Bristol, United Kingdom
| | - Afroditi Stathi
- Department for Health, The University of Bath, Bath, United Kingdom
| | - Janice Thompson
- School of Sport & Exercise Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Joanna Coulson
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, United Kingdom
| | - Tanya Trayers
- The School of Social and Community Medicine, The University of Bristol, Bristol, United Kingdom
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Little P, Stuart B, Stokes M, Nicholls C, Roberts L, Preece S, Cacciatore T, Brown S, Steel C, Lewith G, Geraghty A, Yardley L, O'Reilly G, Chalk C, Sharp D. Alexander Technique and Supervised Physiotherapy Exercises in Back Pain (ASPEN) Feasibility Trial. J Altern Complement Med 2014. [DOI: 10.1089/acm.2014.5156.abstract] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Paul Little
- (1) University of Southampton, Hampshire, UK
| | - Beth Stuart
- (1) University of Southampton, Hampshire, UK
| | | | | | | | | | | | - Simon Brown
- (1) University of Southampton, Hampshire, UK
| | | | | | | | | | | | - Caroline Chalk
- (6) Bristol Alexander Technique Training School Association, Bristol, Avon, UK
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Sharp D. Prognosis biomarkers and functional imaging of executive functions. Ann Phys Rehabil Med 2013. [DOI: 10.1016/j.rehab.2013.07.882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Brierley G, Agnew-Davies R, Bailey J, Evans M, Fackrell M, Ferrari G, Hollinghurst S, Howard L, Howarth E, Malpass A, Metters C, Peters TJ, Saeed F, Sardhina L, Sharp D, Feder GS. Psychological advocacy toward healing (PATH): study protocol for a randomized controlled trial. Trials 2013; 14:221. [PMID: 23866771 PMCID: PMC3718639 DOI: 10.1186/1745-6215-14-221] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2012] [Accepted: 06/26/2013] [Indexed: 11/26/2022] Open
Abstract
Background Domestic violence and abuse (DVA), defined as threatening behavior or abuse by adults who are intimate partners or family members, is a key public health and clinical priority. The prevalence of DVA in the United Kingdom and worldwide is high, and its impact on physical and mental health is detrimental and persistent. There is currently little support within healthcare settings for women experiencing DVA. Psychological problems in particular may be difficult to manage outside specialist services, as conventional forms of therapy such as counseling that do not address the violence may be ineffective or even harmful. The aim of this study is to assess the overall effectiveness and cost-effectiveness of a novel psychological intervention tailored specifically for survivors of DVA and delivered by domestic violence advocates based in third-sector organizations. Methods and study design This study is an open, pragmatic, parallel group, individually randomized controlled trial. Women ages 16 years and older experiencing domestic violence are being enrolled and randomly allocated to receive usual DVA agency advocacy support (control) or usual DVA agency support plus psychological intervention (intervention). Those in the intervention group will receive eight specialist psychological advocacy (SPA) sessions weekly or fortnightly, with two follow-up sessions, 1 month and then 3 months later. This will be in addition to any advocacy support sessions each woman receives. Women in the control group will receive usual DVA agency support but no additional SPA sessions. The aim is to recruit 250 women to reach the target sample size. The primary outcomes are psychological well-being and depression severity at 1 yr from baseline, as measured by the Clinical Outcomes in Routine Evaluation–Outcome Measure (CORE-OM) and the Patient Health Questionnaire (PHQ-9), respectively. Secondary outcome measures include anxiety, posttraumatic stress, severity and frequency of abuse, quality of life and cost-effectiveness of the intervention. Data from a subsample of women in both groups will contribute to a nested qualitative study with repeat interviews during the year of follow-up. Discussion This study will contribute to the evidence base for management of the psychological needs of women experiencing DVA. The findings will have important implications for healthcare commissioners and providers, as well as third sector specialist DVA agencies providing services to this client group. Trial registration ISRCTN58561170
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Affiliation(s)
- Gwen Brierley
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
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Weichenthal S, Mallach G, Kulka R, Black A, Wheeler A, You H, St-Jean M, Kwiatkowski R, Sharp D. A randomized double-blind crossover study of indoor air filtration and acute changes in cardiorespiratory health in a First Nations community. Indoor Air 2013; 23:175-84. [PMID: 23210563 DOI: 10.1111/ina.12019] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2012] [Accepted: 11/24/2012] [Indexed: 05/04/2023]
Abstract
UNLABELLED Few studies have examined indoor air quality in First Nations communities and its impact on cardiorespiratory health. To address this need, we conducted a crossover study on a First Nations reserve in Manitoba, Canada, including 37 residents in 20 homes. Each home received an electrostatic air filter and a placebo filter for 1 week in random order, and lung function, blood pressure, and endothelial function measures were collected at the beginning and end of each week. Indoor air pollutants were monitored throughout the study period. Indoor PM2.5 decreased substantially during air filter weeks relative to placebo (mean difference: 37 μg/m(3) , 95% CI: 10, 64) but remained approximately five times greater than outdoor concentrations owing to a high prevalence of indoor smoking. On average, air filter use was associated with a 217-ml (95% CI: 23, 410) increase in forced expiratory volume in 1 s, a 7.9-mm Hg (95% CI: -17, 0.82) decrease in systolic blood pressure, and a 4.5-mm Hg (95% CI: -11, 2.4) decrease in diastolic blood pressure. Consistent inverse associations were also observed between indoor PM2.5 and lung function. In general, our findings suggest that reducing indoor PM2.5 may contribute to improved lung function in First Nations communities. PRACTICAL IMPLICATIONS Indoor air quality is known to contribute to adverse cardiorespiratory health, but few studies have examined indoor air quality in First Nations communities. Our findings suggest that indoor PM2.5 may contribute to reduced lung function and that portable air filters may help to alleviate these effects by effectively reducing indoor levels of particulate matter.
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Affiliation(s)
- S Weichenthal
- Health Canada, Health Canada Air Health Effects Science Division, Ottawa, ON, Canada.
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Affiliation(s)
- K Grewal
- University Hospital Bristol; Bristol Royal Infirmary; Bristol; UK
| | - W Hamilton
- Peninsula College of Medicine & Dentistry; Exeter; UK
| | - D Sharp
- Centre for Academic Primary Care; School of Social and Community Medicine; University of Bristol; Bristol; UK
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Burns A, O’Mahen H, Baxter H, Bennert K, Wiles N, Ramchandani P, Turner K, Sharp D, Thorn J, Noble S, Evans J. A pilot randomised controlled trial of cognitive behavioural therapy for antenatal depression. BMC Psychiatry 2013; 13:33. [PMID: 23339584 PMCID: PMC3666914 DOI: 10.1186/1471-244x-13-33] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2012] [Accepted: 01/14/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Few trials have evaluated the effectiveness of psychological treatment in improving depression by the end of pregnancy. This is the first pilot randomised controlled trial (RCT) of individual cognitive behavioural therapy (CBT) looking at treating depression by the end of pregnancy. Our aim was to assess the feasibility of delivering a CBT intervention modified for antenatal depression during pregnancy. METHODS Women in North Bristol, UK between 8-18 weeks pregnant were recruited through routine contact with midwives and randomised to receive up to 12 sessions of individual CBT in addition to usual care or to continue with usual care only. Women were eligible for randomisation if they screened positive on a 3-question depression screen used routinely by midwives and met ICD-10 criteria for depression assessed using the clinical interview schedule - revised version (CIS-R). Two CBT therapists delivered the intervention. Follow-up was at 15 and 33 weeks post-randomisation when assessments of mental health were made using measures which included the CIS-R. RESULTS Of the 50 women assessed for the trial, 36 met ICD-10 depression criteria and were randomised: 18 to the intervention and 18 to usual care. Thirteen of the 18 (72%) women who were allocated to receive the intervention completed 9 or more sessions of CBT before the end of pregnancy. Follow-up rates at 15 and 33 weeks post-randomisation were higher in the group who received the intervention (89% vs. 72% at 15 weeks and 89% vs. 61% at 33 weeks post-randomisation). At 15 weeks post-randomisation (the end of pregnancy), there were more women in the intervention group (11/16; 68.7%) who recovered (i.e. no longer met ICD-10 criteria for depression), than those receiving only usual care (5/13; 38.5%). CONCLUSIONS This pilot trial shows the feasibility of conducting a large RCT to assess the effectiveness of CBT for treating antenatal depression before the end of pregnancy. The intervention could be delivered during the antenatal period and there was some evidence to suggest that it could be effective. TRIAL REGISTRATION ISRCTN44902048.
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Affiliation(s)
- Alison Burns
- Centre for Mental Health, Addiction and Suicide Research, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Clifton, Bristol BS8 2BN, UK
| | - Heather O’Mahen
- Department of Mood Disorder, University of Exeter, Exeter EX4 4QG, UK
| | - Helen Baxter
- Centre for Mental Health, Addiction and Suicide Research, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Clifton, Bristol BS8 2BN, UK
| | - Kristina Bennert
- Centre for Mental Health, Addiction and Suicide Research, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Clifton, Bristol BS8 2BN, UK
| | - Nicola Wiles
- Centre for Mental Health, Addiction and Suicide Research, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Clifton, Bristol BS8 2BN, UK
| | - Paul Ramchandani
- Academic Unit of Child and Adolescent Psychiatry, Imperial College, London W2 1PG, UK
| | - Katrina Turner
- Centre for Academic Unit of Primary Care, School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK
| | - Debbie Sharp
- Centre for Academic Unit of Primary Care, School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK
| | - Joanna Thorn
- School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK
| | - Sian Noble
- School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK
| | - Jonathan Evans
- Centre for Mental Health, Addiction and Suicide Research, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Clifton, Bristol BS8 2BN, UK
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Evans M, Sharp D, Shaw A. Developing a model of decision-making about complementary therapy use for patients with cancer: a qualitative study. Patient Educ Couns 2012; 89:374-380. [PMID: 22195598 DOI: 10.1016/j.pec.2011.11.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2011] [Revised: 11/01/2011] [Accepted: 11/06/2011] [Indexed: 05/31/2023]
Abstract
OBJECTIVE To improve our understanding of patient participation in health care consultations and decision-making by exploring a consultation that lies at the interface between mainstream care and complementary therapies. METHODS Thirty-four holistic consultations were observed at centres offering complementary therapies for cancer, followed by interviews with patients and focus groups with professionals. RESULTS A model of decision-making about complementary therapy use emerged from the data: 'Advice: Assessor led decision', 'Confirmation: Joint decision', 'Access: Patient-led decision' and 'Informed: Patient-led decision'. Decision-making style was contingent on identifiable communication strategies in the preceding information-sharing and discussion phases of the consultation. CONCLUSION This study confirms the importance of gauging patients' preferences for level of participation in decision-making. Models of consultations are generally based on the assumption that a greater degree of patient participation is a good thing that access to information and decision-making power is sought by all patients. Data from this study suggest that, in this context at least, this is not necessarily the case. The study also stresses the dynamic nature of the consultation, in which roles are fluid rather than fixed. PRACTICE IMPLICATIONS Insight were gained into professionals' communication strategies and patients' role preferences in decision-making, which may be applicable more widely.
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Affiliation(s)
- Maggie Evans
- School of Social and Community Medicine, University of Bristol, Bristol, UK.
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Keeling M, Knight T, Sharp D, Fertout M, Greenberg N, Chesnokov M, Rona RJ. Contrasting Beliefs About Screening for Mental Disorders Among Uk Military Personnel Returning from Deployment to Afghanistan. J Med Screen 2012; 19:206-11. [DOI: 10.1258/jms.2012.012054] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Objective The objective of the study was to elicit beliefs and experiences of the value of a screening programme for mental illness among UK military personnel. Method Three months after returning from Afghanistan 21 army personnel participated in a qualitative study about mental health screening. One-to-one interviews were conducted and recorded. Data-driven thematic analysis was used. Researchers identified master themes represented by extracts of text from the 21 complete transcripts. Results Participants made positive remarks on the advantages of screening. Noted barriers to seeking help included: unwillingness to receive advice, a wish to deal with any problems themselves and a belief that military personnel should be strong enough to cope with any difficulties. Participants believed that overcoming barriers to participating in screening and seeking help would be best achieved by making screening compulsory. Conclusions Although respondents were positive about a screening programme for mental illness, the barriers to seeking help for mental illness appear deep rooted and reinforced by the value ascribed to hardiness.
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Affiliation(s)
- M Keeling
- Kings College London, King's Centre for Military Health Research, London, UK
| | - T Knight
- UCL Division of Psychology and Language Sciences, London, UK
| | - D Sharp
- King's College London, Academic Centre for Defence Mental Health, London, UK
| | - M Fertout
- King's College London, Academic Centre for Defence Mental Health, London, UK
| | - N Greenberg
- King's College London, Academic Centre for Defence Mental Health, London, UK
| | - M Chesnokov
- King's College London, Academic Centre for Defence Mental Health, London, UK
| | - R J Rona
- King's College London, Academic Centre for Defence Mental Health, London, UK
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Ramsay J, Rutterford C, Gregory A, Dunne D, Eldridge S, Sharp D, Feder G. Domestic violence: knowledge, attitudes, and clinical practice of selected UK primary healthcare clinicians. Br J Gen Pract 2012; 62:e647-55. [PMID: 22947586 PMCID: PMC3426604 DOI: 10.3399/bjgp12x654623] [Citation(s) in RCA: 98] [Impact Index Per Article: 8.2] [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: 12/13/2011] [Revised: 02/02/2012] [Accepted: 03/28/2012] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND Domestic violence affects one in four women and has significant health consequences. Women experiencing abuse identify doctors and other health professionals as potential sources of support. Primary care clinicians agree that domestic violence is a healthcare issue but have been reluctant to ask women if they are experiencing abuse. AIM To measure selected UK primary care clinicians' current levels of knowledge, attitudes, and clinical skills in this area. DESIGN AND SETTING Prospective observational cohort in 48 general practices from Hackney in London and Bristol, UK. METHOD Administration of the Physician Readiness to Manage Intimate Partner Violence Survey (PREMIS), comprising five sections: responder profile, background (perceived preparation and knowledge), actual knowledge, opinions, and practice issues. RESULTS Two hundred and seventy-two (59%) clinicians responded. Minimal previous domestic violence training was reported by participants. Clinicians only had basic knowledge about domestic violence but expressed a positive attitude towards engaging with women experiencing abuse. Many clinicians felt poorly prepared to ask relevant questions about domestic violence or to make appropriate referrals if abuse was disclosed. Forty per cent of participants never or seldom asked about abuse when a woman presented with injuries. Eighty per cent said that they did not have an adequate knowledge of local domestic violence resources. GPs were better prepared and more knowledgeable than practice nurses; they also identified a higher number of domestic violence cases. CONCLUSION Primary care clinicians' attitudes towards women experiencing domestic violence are generally positive but they only have basic knowledge of the area. Both GPs and practice nurses need more comprehensive training on assessment and intervention, including the availability of local domestic violence services.
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Affiliation(s)
- Jean Ramsay
- Centre for Primary Care and Public Health, Barts and the London, School of Medicine and Dentistry, Queen Mary University of London, London
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Feder G, Davies RA, Baird K, Dunne D, Eldridge S, Griffiths C, Gregory A, Howell A, Johnson M, Ramsay J, Rutterford C, Sharp D. Identification and Referral to Improve Safety (IRIS) of women experiencing domestic violence with a primary care training and support programme: a cluster randomised controlled trial. Lancet 2011; 378:1788-95. [PMID: 22000683 DOI: 10.1016/s0140-6736(11)61179-3] [Citation(s) in RCA: 219] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Most clinicians have no training about domestic violence, fail to identify patients experiencing abuse, and are uncertain about management after disclosure. We tested the effectiveness of a programme of training and support in primary health-care practices to increase identification of women experiencing domestic violence and their referral to specialist advocacy services. METHODS In this cluster randomised controlled trial, we selected general practices in two urban primary care trusts, Hackney (London) and Bristol, UK. Practices in which investigators from this trial were employed or those who did not use electronic records were excluded. Practices were stratified by proportion of female doctors, postgraduate training status, number of patients registered, and percentage of practice population on low incomes. Within every primary care trust area, we randomised practices with a computer-minimisation programme with a random component to intervention or control groups. The intervention programme included practice-based training sessions, a prompt within the medical record to ask about abuse, and a referral pathway to a named domestic violence advocate, who also delivered the training and further consultancy. The primary outcome was recorded referral of patients to domestic violence advocacy services. The prespecified secondary outcome was recorded identification of domestic violence in the electronic medical records of the general practice. Poisson regression analyses accounting for clustering were done for all practices receiving the intervention. Practice staff and research associates were not masked and patients were not aware they were part of a study. This study is registered at Current Controlled Trials, ISRCTN74012786. FINDINGS We randomised 51 (61%) of 84 eligible general practices in Hackney and Bristol. Of these, 24 received a training and support programme, 24 did not receive the programme, and three dropped out before the trial started. 1 year after the second training session, the 24 intervention practices recorded 223 referrals of patients to advocacy and the 24 control practices recorded 12 referrals (adjusted intervention rate ratio 22·1 [95% CI 11·5-42·4]). Intervention practices recorded 641 disclosures of domestic violence and control practices recorded 236 (adjusted intervention rate ratio 3·1 [95% CI 2·2-4·3). No adverse events were recorded. INTERPRETATION A training and support programme targeted at primary care clinicians and administrative staff improved referral to specialist domestic violence agencies and recorded identification of women experiencing domestic violence. Our findings reduce the uncertainty about the benefit of training and support interventions in primary care settings for domestic violence and show that screening of women patients for domestic violence is not a necessary condition for improved identification and referral to advocacy services. FUNDING Health Foundation.
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Affiliation(s)
- Gene Feder
- Academic Unit of Primary Health Care, NIHR English School for Primary care Research, University of Bristol, UK.
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Purdy S, Griffin T, Salisbury C, Sharp D. Emergency respiratory admissions: influence of practice, population and hospital factors. J Health Serv Res Policy 2011; 16:133-40. [PMID: 21719477 DOI: 10.1258/jhsrp.2010.010013] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE To determine the influence of population, hospital and general practice characteristics on practice admission rates for asthma and chronic obstructive pulmonary disease (COPD) in England. METHODS Cross sectional study using Hospital Episode Statistics (HES), routine population data and primary care data. Admissions for all general practices in England during 2005-06, adjusted for age and sex composition of practice population. Univariable analysis of population, practice and hospital care provision variables, including prevalence and quality data. Significant factors included in multiple regression Poisson model. RESULTS Admissions from 8169 practices were included. Risk of admission for each condition increased with deprivation, prevalence and smoking. Admission rates were higher in urban than rural practices. Hospital bed availability and distance to the nearest emergency department were also significantly associated with risk of admission. The associations with practice factors including practice size and quality markers varied across conditions. CONCLUSIONS Practice population, geographic and hospital supply factors are consistently associated with asthma and COPD admissions. Higher smoking rates among such patients in a practice are associated with higher admission rates. There is little evidence from this study that other modifiable general practice factors are important in influencing admission rates.
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Affiliation(s)
- Sarah Purdy
- Academic Unit of Primary Health Care, University of Bristol, Bristol, UK.
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Marshall T, Lancashire R, Sharp D, Peters TJ, Cheng KK, Hamilton W. The diagnostic performance of scoring systems to identify symptomatic colorectal cancer compared to current referral guidance. Gut 2011; 60:1242-8. [PMID: 21357592 DOI: 10.1136/gut.2010.225987] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To determine the discrimination characteristics of a new algorithm and two existing symptom scoring systems for identification of patients with suspected colorectal cancer. DESIGN Derivation of algorithm by a case-control study and assessment of discrimination characteristics using receiver operating characteristics (ROC) curves. Three colorectal cancer scoring systems were investigated. The Bristol-Birmingham (BB) equation, which we derived from a large primary care dataset; the CAPER score, previously derived from a primary care case-control study and a symptom score derived from National Institute of Clinical Excellence (NICE) guidance for urgent referral of symptomatic patients. Their discrimination characteristics were investigated in two datasets: the BB derivation dataset and the CAPER score derivation dataset. The main analyses were ROC curves and the areas under them for all three algorithms in both datasets. Setting Electronic primary care databases. Main outcome measures Diagnosis of colorectal cancer. RESULTS In the BB dataset, areas under the curve were: BB equation 0.83 (95% CI 0.82 to 0.84); CAPER 0.79 (95% CI 0.79 to 0.80); the NICE guidelines 0.65 (95% CI 0.64 to 0.66). In the CAPER dataset, areas under the curve were: BB 0.92 (95% CI 0.91 to 0.94); CAPER 0.91 (95% CI 0.89 to 0.93); NICE guidelines 0.75 (95% CI 0.72 to 0.79). In subjects under 50 the discrimination characteristics of NICE referral guidelines were no better than chance. CONCLUSIONS Both multivariable symptom scoring systems performed significantly better than NICE referral guidelines.
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Affiliation(s)
- Tom Marshall
- Department of Public Health and Epidemiology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
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Weerakoon A, Sharp D, Chapman J, Clunie G. Lumbar canal spinal stenosis due to axial skeletal calcinosis and heterotopic ossification in limited cutaneous systemic sclerosis: successful spinal decompression. Rheumatology (Oxford) 2011; 50:2144-6. [DOI: 10.1093/rheumatology/ker293] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Flach C, Leese M, Heron J, Evans J, Feder G, Sharp D, Howard LM. Antenatal domestic violence, maternal mental health and subsequent child behaviour: a cohort study. BJOG 2011; 118:1383-91. [PMID: 21692968 DOI: 10.1111/j.1471-0528.2011.03040.x] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To investigate the long-term impact of antenatal domestic violence on maternal psychiatric morbidity and child behaviour. DESIGN Cohort study. SETTING Avon, UK. POPULATION OR SAMPLE A birth cohort of 13,617 children and mother dyads were followed to 42 months of age. METHODS Experiences of domestic violence and depressive symptoms were gathered at 18 weeks of gestation and up to 33 months after birth, together with maternal, paternal and child characteristics. MAIN OUTCOME MEASURES Child behavioural problems were assessed at 42 months using the Revised Rutter Questionnaire. ANALYSIS Logistic regression with the use of multiple imputation employing chained equations for missing data. RESULTS Antenatal domestic violence was associated with high levels of maternal antenatal (odds ratio [OR], 4.02; 95% confidence interval [CI], 3.4-4.8) and postnatal (OR, 1.29; 95% CI, 1.02-1.63) depressive symptoms after adjustment for potential confounders. Antenatal domestic violence predicted future behavioural problems at 42 months in the child before adjustment for possible confounding and mediating factors (OR, 1.87; 95% CI, 1.45-2.40); this association was not significant after adjustment for high levels of maternal antenatal depressive symptoms, postnatal depressive symptoms or domestic violence since birth. CONCLUSIONS Antenatal domestic violence is associated with high levels of both maternal antenatal and postnatal depressive symptoms. It is also associated with postnatal violence, and both are associated with future behavioural problems in the child at 42 months. This is partly mediated by maternal depressive symptoms in the ante- or postnatal period.
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Affiliation(s)
- C Flach
- Health Service and Population Research Department, Institute of Psychiatry, King's College London, London, UK
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Fox KR, Hillsdon M, Sharp D, Cooper AR, Coulson JC, Davis M, Harris R, McKenna J, Narici M, Stathi A, Thompson JL. Neighbourhood deprivation and physical activity in UK older adults. Health Place 2011; 17:633-40. [PMID: 21292536 DOI: 10.1016/j.healthplace.2011.01.002] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2010] [Revised: 12/24/2010] [Accepted: 01/06/2011] [Indexed: 11/29/2022]
Abstract
The benefits of regular physical activity for older adults are now well-established but this group remain the least active sector of the population. In this paper, the association between levels of neighbourhood deprivation and physical activity was assessed. A sample of 125 males with a mean age of 77.5 (±5.6) years, and 115 females with a mean age of age 78.6 (±8.6) underwent 7-day accelerometry, a physical performance battery, and completed a daily journeys log. Univariate associations between physical activity parameters and level of deprivation of neighbourhood were extinguished in regression models controlling for age, gender, and level of educational attainment. Age, gender, educational attainment, body mass index, physical function, and frequency of journeys from the home explained between 50% and 54% of variance in activity parameters. These results suggest the importance of strategies to help older adults maintain physical function, healthy weight, and remain active in their communities.
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Affiliation(s)
- K R Fox
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Tyndall Avenue, Bristol BS8 1TN, UK.
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Davies P, Wye L, Horrocks S, Salisbury C, Sharp D. Developing quality indicators for community services: the case of district nursing. Qual Prim Care 2011; 19:155-166. [PMID: 21781431] [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] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
BACKGROUND Quality indicators exist for the acute and primary care sectors in the National Health Service (NHS), but until recently little attention has been given to measuring the quality of community services. The innovative project described in this paper attempted to address that gap. OBJECTIVES To produce a framework for developing quality indicators for Bristol Community Health services. To develop a set of initial indicators for Bristol Community Health services using the proposed framework. METHOD After familiarising ourselves with community services and NHS policy, gathering the views of stakeholders and consulting the literature on quality indicators, we designed a framework for indicator development, using the 'test' case of the district nursing service. The long list of possible indicators came from best practice guidelines for wound, diabetes and end of life care, the three conditions most commonly treated by district nurses. To narrow down this list we surveyed and held workshops with district nurses, interviewed service users by telephone and met with commissioners and senior community health managers. RESULTS The final set of quality indicators for district nurses included 23 organisational and clinical process and outcome indicators and eight patient experience indicators. These indicators are now being piloted, together with two potential tools identified to capture patient reported outcomes. CONCLUSION Developing quality indicators for community services is time consuming and resource intensive. A range of skills are needed including clinical expertise, project management and skills in evidence-based medicine. The commitment and involvement of front-line professionals is crucial.
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Affiliation(s)
- Philippa Davies
- Academic Unit of Psychiatry, University of Bristol, Bristol, UK.
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Purdy S, Griffin T, Salisbury C, Sharp D. Emergency admissions for coronary heart disease: A cross-sectional study of general practice, population and hospital factors in England. Public Health 2011; 125:46-54. [DOI: 10.1016/j.puhe.2010.07.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2010] [Revised: 06/16/2010] [Accepted: 07/13/2010] [Indexed: 12/21/2022]
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