Evidence@NottsHC is the Research Repository for Nottinghamshire Healthcare NHS Foundation Trust, a development by Research and Evidence and the Library and Knowledge Service. It is a searchable database containing publications authored by Trust and Institute of Mental Health staff to highlight and raise awareness of the research and innovation happening to improve patient care. This digital service collects, preserves, and distributes the research output. The benefits for storing your research in Evidence@NottsHC are:
- It allows for increased visibility, discoverability and citation count for research
- Research is associated with a particular specialty allowing researchers to find fellow colleagues for collaborations
- All data is quality checked and uploaded by library staff on behalf of the researchers
- Articles are compliant with Open Access policies
- Raise the national and international profile of the Trust’s employees
- Researcher profiles are publically accessible – they can act like a CV
Note: the authors listed on the research records are only Trust/IMH employees. To see a full list of the authors on the papers, please either visit the publisher’s website via the link provided or click into the full record to see the relevant citation.
Communities in Evidence@NottsHC
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Associations among childhood trauma, childhood mental disorders, and past-year posttraumatic stress disorder in military and civilian men (2019)To identify early life factors associated with posttraumatic stress disorder (PTSD), we investigated the association between childhood trauma and mental disorders with International Classification of Diseases (ICD)-diagnosed ...
Acute interventions for aggression and agitation in psychosis: Study protocol for a systematic review network meta-analysis (2019)INTRODUCTION: Individuals with psychosis may access emergency services due to aggression and agitation. When the de-escalation technique fails to achieve tranquillisation, several pharmacological options are available. ...
Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis: A machine learning approach (2019)Background: Outcomes for people with first-episode psychosis are highly heterogeneous. Few reliable validated methods are available to predict the outcome for individual patients in the first clinical contact. In this ...
(2019)A man in his 40s was brought to the accident and emergency department in an acute psychotic state, 3 weeks after the European Union referendum results in the UK were declared. His mental health had deteriorated rapidly ...
Randomised controlled clinical trial of a structured cognitive rehabilitation in patients with attention deficit following mild traumatic brain injury: Study protocol (2019)Objectives To measure the clinical, structural and functional changes of an individualised structured cognitive rehabilitation in mild traumatic brain injury (mTBI) population. Setting A single centre study, Malaysia. ...