scholarly journals 004 OP: ENACTING PPI IN QUALITATIVE MENTAL HEALTH RESEARCH: PEER RESEARCHER INVOLVEMENT IN DATA ANALYSIS IN THE 'CORE' STUDY

BMJ Open ◽  
2015 ◽  
Vol 5 (4) ◽  
Author(s):  
N. Morant ◽  
B. Lloyd-Evans ◽  
2018 ◽  
Vol 82 (3) ◽  
pp. 253-259
Author(s):  
Alessandro S. De Nadai

While there is great enthusiasm about new data sharing initiatives in mental health research, some concerns have recently been expressed that reflect tension between those who generate data and those who engage in secondary data analysis. While many aspects of data sharing have been considered, some of this tension has not been fully addressed. If this tension continues to go unresolved, enthusiasm for data sharing initiatives may be hindered. The author suggests solutions to these issues after carefully considering respective stakeholder interests (including those of patients, researchers, and funding agencies).


2021 ◽  
pp. 1-6
Author(s):  
Angharad de Cates ◽  
Victoria Lane ◽  
Erin Turner

MRCPsych courses play a key role in helping trainees prepare for Membership examinations and specialist training. Historically, their social aspect, although arguably as important, has perhaps not been sufficiently prioritised. During a pandemic, when teaching is largely delivered virtually, the social benefit of meeting peers is highlighted by its absence. Given the future likelihood of increased virtual teaching, it is of paramount importance to explore ways of enhancing the sociability of teaching courses. In addition to the social needs of trainees, there is a recognised need to increase and integrate the neuroscience component of the curriculum to better meet the needs of modern day mental health research, treatment and practice. This article describes how the Birmingham MRCPsych course successfully addressed both these issues with a 2-day ‘residential’ in October 2019, and considers whether future residentials could be delivered virtually.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Katye Stevens ◽  
Vivetha Thambinathan ◽  
Elisa Hollenberg ◽  
Fiona Inglis ◽  
Andrew Johnson ◽  
...  

Abstract Background Suicide and risk management protocols in mental health research aim to ensure patient safety, provide vital information on how to assess suicidal ideation, manage risk, and respond to unexpected and expected situations. However, there is a lack of literature that identifies specific components and strategies to include in suicide and risk management protocols (SRMPs) for mental health research. The goal of this scoping review was to review academic and grey literature to determine core components and associated strategies, which can be used to inform SRMPs in mental health research. Methods and analysis The methodological framework outlined by Arksey and O’Malley was used for this scoping review. The search strategy, conducted by a medical librarian, was multidisciplinary and included seven databases. Two reviewers independently assessed eligibility criteria in each document and used a standardized charting form to extract relevant data. The extracted data were then examined using qualitative content analysis. Specifically, summative content analysis was used to identify the core components and strategies used in SRMPs. The data synthesis process was iterative. Results This review included 36 documents, specifically 22 peer-reviewed articles and 14 documents from the grey literature. Five core components of SRMPs emerged from the reviewed literature including: training; educational resources for research staff; educational resources for research participants; risk assessment and management strategies; and clinical and research oversight. Potentials strategies for risk mitigation within each of the core components are outlined. Conclusions The five core components and associated strategies for inclusion in SRMPs will assist mental health researchers in conducting research safely and rigorously. Findings can inform the development of SRMPs and how to tailor them across various research contexts.


2022 ◽  
pp. 109-143
Author(s):  
Akkapon Wongkoblap ◽  
Miguel A. Vadillo ◽  
Vasa Curcin

Sign in / Sign up

Export Citation Format

Share Document