Browsing Conducting Research by Title
Now showing items 29-48 of 49
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Managing resources and reducing waste in healthcare settings
(2015-12)The NHS is under pressure to increase its effectiveness and productivity. Nurses are tasked with delivering effective and efficient care, as well as improving patient safety, experiences and results. The reduction of ... -
Measuring the impact of participatory research in psychiatry: How the search for epistemic justifications obscures ethical considerations
(2019-12)Both within politics and practice, the field of psychiatry is undergoing a significant transformation, as increasing emphasis is placed on the importance of involving those with lived experience in research. In response ... -
Mixed effects approach to the analysis of the stepped wedge cluster randomised trial—Investigating the confounding effect of time through simulation
(2018-12)A stepped wedge cluster randomised trial (SWCRT) is a multicentred study which allows an intervention to be rolled out at sites in a random order. Once the intervention is initiated at a site, all participants within that ... -
Network meta-analysis of antidepressants – Authors' reply
(2018-09-22)Comments on issues raised with Cipriani et al, 'Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis' ... -
Patient and public involvement in reducing health and care research waste
(2018-01-08)Background: Eighty five per cent of health research expenditure is potentially wasted due to failure to publish research, unclear reporting of research that is published, and the failure of new research studies to ... -
Pharmaceutical industry, academia and people with experience of mental illness as partners in research: a need for ethical guidance [version 1; peer review: 1 not approved]
(2020-08)Background: Several social and policy developments have led to research partnerships in mental health research, which depart from traditional research models. One form of such partnerships is among research institutions, ... -
Producing and using timely comparative evidence on drugs: lessons from clinical trials for covid-19
(2020-10)Since the early days of the novel coronavirus outbreak, a record number of studies have been launched to test several repurposed and new medicines as potential treatments for covid-19 An analysis by the news organisation ... -
Promoting inclusivity by ensuring that all patients with mental health issues are offered research opportunities in the NHS
(2022-01)Research-active clinical services have lower mortality rates and produce higher quality care outcomes, however, recruiting participants to clinical research in the National Health System (NHS) remains challenging.1 A recent ... -
Qualitative study of barriers to clinical trial retention in adults with recently diagnosed type 1 diabetes
(2018-07)Objectives: Regular physical exercise may preserve β cell function in newly diagnosed adults with type 1 diabetes (T1D). However, clinical trials to test this theory require the recruitment and retention of adults with ... -
R package to identify sudden gains
(PsyArXiv, 2019)Sudden gains are large and stable changes on an outcome variable between consecutive measurements, for example during a psychological intervention with multiple assessments. Researching these occurrences could help understand ... -
Reducing waste in the NHS: an overview of the literature and challenges for the nursing profession
(2016-04-20)Waste in the NHS is estimated to account for 20% of health expenditure. This article examines the literature on reducing waste, analyses some approaches to waste reduction, and identifies the role that nurses and other ... -
ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis
(2021-11)Selective outcome reporting and publication bias threaten the validity of systematic reviews and meta-analyses and can affect clinical decision-making. A rigorous method to evaluate the impact of this bias on the results ... -
Sham sleep feedback delivered via actigraphy biases daytime symptom reports in people with insomnia: Implications for insomnia disorder and wearable devices
(2018-07)This study investigated whether providing sham feedback about sleep to individuals with insomnia influenced daytime symptom reports, sleep‐related attentional bias and psychomotor vigilance. Sixty‐three participants meeting ... -
Successful recruitment to trials: findings from the SCIMITAR+ Trial
(2018-01-19)Background: Randomised controlled trials (RCT) can struggle to recruit to target on time. This is especially the case with hard to reach populations such as those with severe mental ill health. The SCIMITAR+ trial, a trial ... -
Synthesizing cross-design evidence and cross-format data using network meta-regression
(2022-03)In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized controlled trials (RCT) or non-randomized studies (NRS) as individual ... -
A Systematic Review of the Reporting Quality of Observational Studies That Use Mediation Analyses
(2022-02)Mediation analysis is a common statistical method used to investigate mechanisms of health exposure and interventions. The reporting quality of mediation studies used in randomised controlled trials has been considered ... -
Using local communities to establish geographical boundaries for case studies
(2019-02)Background Case studies are widely used in the social sciences to explore complex phenomena in natural settings. Applying boundaries is vital to ensure cases are easily identifiable and similar enough to be treated as ... -
Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis
(2022-05)Objective A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The Vitruvian plot aims to facilitate communication of multiple outcomes from NMAs to patients and ... -
The wh-questions of network meta-analyses
(2019-10)Currently, network meta-analyses (NMAs) are the only technique that allow us to compare and rank numerous treatments across trials. Evidence produced by NMAs relies on pooled data from both direct and indirect comparisons ... -
When Deploying Predictive Algorithms, Are Summary Performance Measures Sufficient?
(2020-01)The last decade’s growth in artificial intelligence, machine learning, and statistical methods for high-dimensional data has driven a zeitgeist of prediction (or forecasting) in medicine and psychiatry. Algorithms for ...