Eddie Chaplin, Amina Rawat, Bhathika Perera, Jane McCarthy, Ken Courtenay, Andrew Forrester, Susan Young, Hannah Hayward, Jess Sabet, Lisa Underwood, Richard Mills, Philip Asherson and Declan Murphy
This paper aims to examine effective diagnostic and treatment pathways for attention deficit hyperactivity disorder (ADHD) in prison settings given the high prevalence of ADHD and…
Abstract
Purpose
This paper aims to examine effective diagnostic and treatment pathways for attention deficit hyperactivity disorder (ADHD) in prison settings given the high prevalence of ADHD and comorbidities in the prison population.
Design/methodology/approach
Two studies were carried out in two separate prisons in London. Firstly, data were collected to understand the prevalence of ADHD and the comorbidities. The second study used quality improvement (QI) methodology to assess the impact of a diagnostic and treatment pathway for prisoners with ADHD.
Findings
Of the prisoners, 22.5% met the diagnostic criteria for ADHD. Nearly half of them were screened positive for autistic traits, with a higher prevalence of mental disorders among prisoners with ADHD compared to those without. The QI project led to a significant increase in the number of prisoners identified as requiring ADHD assessment but a modest increase in the number of prisoners diagnosed or treated for ADHD.
Originality/value
Despite various challenges, an ADHD diagnostic and treatment pathway was set up in a prison using adapted QI methodology. Further research is needed to explore the feasibility of routine screening for ADHD in prison and examine at a national level the effectiveness of current ADHD prison pathways.
Details
Keywords
Natalie Ann Hendry and Ingrid Richardson
What do we do with the excess data from our research? ‘Excess’ – particularly in digital media research – is inevitable. It emerges in the research process as the ‘debris’ and…
Abstract
What do we do with the excess data from our research? ‘Excess’ – particularly in digital media research – is inevitable. It emerges in the research process as the ‘debris’ and ‘leftovers’ from planning, fieldwork and writing; the words cut from drafts and copied to untouched and forgotten files; and the data archived but never analysed or published. From our conversations with colleagues, to our call for contributors, we repeatedly heard researchers’ stories of digital data overflow, as they shared a collective sense of excess data as something more than that which is simply left out of formal research outputs. Digital excess, in particular, holds discursive flexibility: it points to abundance and possibility but also to our failure to control or contain information. Excess data matter, but how and why they do is somewhat opaque and largely underexplored.
This book, Data Excess in Digital Media Research, is a dedicated collection that pays attention to excess data. We position ‘excess’ as a conceptual, methodological, ethical and pragmatic challenge and opportunity for digital media research – we examine what happens when media researchers return to their surplus archives and explore the labour and affects surrounding data overflow and excess. We suggest that data excess is – or should be – a central concern for digital media scholars because of the methodological characteristics of digital media research, the ‘research ethos’ around data excess and the unexpected affects and ‘hauntings’ of excess data. This introduction provides an overview of these concerns and outlines each chapter.