Justine Mary Schneider

Dr. Justine Mary Schneider

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Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 June 2013 in Psychological Medicine
Verified
Journal Article
Open access
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RPR. Phillips
R. Phillips
JSJustine Mary Schneider
Justine Mary Schneider
IMI. Molosankwe
I. Molosankwe
MLM. Leese
M. Leese
PFP. Sarrami Foroushani
P. Sarrami Foroushani
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Background: Depression and anxiety are major causes of absence from work and underperformance in the workplace. Cognitive behavioural therapy (CBT) can be effective in treating such problems and online versions offer many practical advantages. The aim of the study was to investigate the effectiveness of a computerized CBT intervention (MoodGYM) in a workplace context.Method: The study was a phase III two-arm, parallel randomized controlled trial whose main outcome was total score on the Work and Social Adjustment Scale (WSAS). Depression, anxiety, psychological functioning, costs and acceptability of the online process were also measured. Most data were collected online for 637 participants at baseline, 359 at 6 weeks marking the end of the intervention and 251 participants at 12 weeks post-baseline.Results: In both experimental and control groups depression scores improved over 6 weeks but attrition was high. There was no evidence for a difference in the average treatment effect of MoodGYM on the WSAS, nor for a difference in any of the secondary outcomes.Conclusions: This study found no evidence that MoodGYM was superior to informational websites in terms of psychological outcomes or service use, although improvement to subthreshold levels of depression was seen in nearly half the patients in both groups.

12 August 2011 in BMC Psychiatry
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Journal Article
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PFPooria Sarrami Foroushani
Pooria Sarrami Foroushani
JSJustine Mary Schneider
Justine Mary Schneider
NANeda Assareh
Neda Assareh
Several computerised cognitive behaviour therapy (cCBT) packages are now available to treat mild to moderate depression with or without anxiety. These have been usually been reviewed alongside cCBT for a wide range of psychological problems. Here, we single out the results of these reviews for the most common mental disorder, mild to moderate depression. The aim of this paper is to evaluate the quality of existing reviews and to enable reliable comparisons of alternative computer packages for the same patient group. A thorough search and analysis of reviews of efficacy of cCBT published between 1999 and February 2011. The search yielded twelve systematic reviews from ten studies covering depression. Their methodology is appraised and selected findings are presented here. The meta-review supports the efficacy of cCBT for treatment of depression; however there is limited information on different approaches, whose relative cost-effectiveness remains to be demonstrated. Suggestions are made for future studies in the field.

3 May 2012 in Implementation Science
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Journal Article
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EREmma Rowley
Emma Rowley
RMRichard Morriss
Richard Morriss
GCGraeme Currie
Graeme Currie
JSJustine Mary Schneider
Justine Mary Schneider
Background: To address the problem of translation from research-based evidence to routine healthcare practice, the Collaboration for Leadership in Applied Health Research and Care for Nottinghamshire, Derbyshire, and Lincolnshire (CLAHRC-NDL) was funded by the National Institute for Health Research as one of nine CLAHRCs across England. This paper outlines the underlying theory and its application that CLAHRC-NDL has adopted, as a case example that might be generalised to practice outside the CLAHRC, in comparison to alternative models of implementation. Discussion: Conventional approaches to health research frequently generate evidence in isolation from the environment in which it is intended for use. The premise of the CLAHRC-NDL model is that barriers to implementation can be overcome if knowledge is co-produced by academic and clinical service staff, taking account of the organisational context in which it is to be applied. This approach is founded on organisational learning theory, recognising that change is a social and political phenomenon. Evidence is produced in real time, taking full account of the environment in which it is to be implemented. To support this process, senior health service staff are seconded to the CLAHRC as ‘diffusion fellows’ (DFs) to actively bridge the research to practice gap by being a full member of both the research team and their area of clinical practice. To facilitate innovation and embed change in the local health community, existing communities of practice are enhanced and new ones are fostered around specific themes. Our approach has been adopted by 16 clinical research studies in the areas of mental health, children and young people, primary care, and stroke rehabilitation. Summary: The CLAHRC-NDL model of implementation applies organisational learning theory by addressing the social and situational barriers and enablers to implementation, and adopting a philosophy of co-production. Two key mechanisms for translation of innovation have been utilised: DFs, to actively bridge the research to practice gap, and communities of practice, to underpin and sustain improvements in healthcare. The model shows promising results in putting research into practice, which may be transferable to other healthcare contexts.

28 March 2014 in Journal of Medical Internet Research
Verified
Journal Article
Open access
JSJustine Mary Schneider
Justine Mary Schneider
PFPooria Sarrami Foroushani
Pooria Sarrami Foroushani
PGPaul Grime
Paul Grime
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Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

29 June 2017 in PLOS ONE
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Journal Article
Open access
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LWLucy Webster
Lucy Webster
DGDerek Groskreutz
Derek Groskreutz
AGAnna Grinbergs-Saull
Anna Grinbergs-Saull
RHRob Howard
Rob Howard
JOJohn O'Brien
John O'Brien
GLGill Livingston
Gill Livingston
There are no disease-modifying treatments for dementia. There is also no consensus on disease modifying outcomes. We aimed to produce the first evidence-based consensus on core outcome measures for trials of disease modification in mild-to-moderate dementia. We defined disease-modification interventions as those aiming to change the underlying pathology. We systematically searched electronic databases and previous systematic reviews for published and ongoing trials of disease-modifying treatments in mild-to-moderate dementia. We included 149/22,918 of the references found; with 81 outcome measures from 125 trials. Trials involved participants with Alzheimer’s disease (AD) alone (n = 111), or AD and mild cognitive impairment (n = 8) and three vascular dementia. We divided outcomes by the domain measured (cognition, activities of daily living, biological markers, neuropsychiatric symptoms, quality of life, global). We calculated the number of trials and of participants using each outcome. We detailed psychometric properties of each outcome. We sought the views of people living with dementia and family carers in three cities through Alzheimer’s society focus groups. Attendees at a consensus conference (experts in dementia research, disease-modification and harmonisation measures) decided on the core set of outcomes using these results. Recommended core outcomes were cognition as the fundamental deficit in dementia and to indicate disease modification, serial structural MRIs. Cognition should be measured by Mini Mental State Examination or Alzheimer's Disease Assessment Scale-Cognitive Subscale. MRIs would be optional for patients. We also made recommendations for measuring important, but non-core domains which may not change despite disease modification. Most trials were about AD. Specific instruments may be superseded. We searched one database for psychometric properties. This is the first review to identify the 81 outcome measures the research community uses for disease-modifying trials in mild-to-moderate dementia. Our recommendations will facilitate designing, comparing and meta-analysing disease modification trials in mild-to-moderate dementia, increasing their value. PROSPERO no. CRD42015027346.

3 December 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
HRHarleen Kaur Rai
Harleen Kaur Rai
ABAline Cavalcanti Barroso
Aline Cavalcanti Barroso
LYLauren Yates
Lauren Yates
JSJustine Mary Schneider
Justine Mary Schneider
MOMARTIN ORRELL
MARTIN ORRELL
Background: Technology can be helpful in supporting people with dementia in their daily lives. However, people with dementia are often not fully involved in the development process of new technology. This lack of involvement of people with dementia in developing technology-based interventions can lead to the implementation of faulty and less suitable technology. Objective: This systematic review aims to evaluate current approaches and create best practice guidelines for involving people with dementia in developing technology-based interventions. Methods: A systematic search was conducted in January 2019 in the following databases: EMBASE (Excerpta Medica database), PsycINFO, MEDLINE (Medical Literature Analysis and Retrieval System Online), CINAHL (Cumulated Index to Nursing and Allied Health Literature), and Web of Science. The search strategy included search terms in 3 categories: dementia, technology, and involvement in development. Narrative synthesis wove the evidence together in a structured approach. Results: A total of 21 studies met the inclusion criteria. Most studies involved people with dementia in a single phase, such as development (n=10), feasibility and piloting (n=7), or evaluation (n=1). Only 3 studies described involvement in multiple phases. Frequently used methods for assessing involvement included focus groups, interviews, observations, and user tests. Conclusions: Most studies concluded that it was both necessary and feasible to involve people with dementia, which can be optimized by having the right prerequisites in place, ensuring that technology meets standards of reliability and stability, and providing a positive research experience for participants. Best practice guidelines for the involvement of people with dementia in developing technology-based interventions are described.