Construction of spoiled identities and UK MHNs

by Dominic Joannou in Clacton On Sea, England, United Kingdom

Construction of spoiled identities and UK MHNs

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Flexible funding – this project will receive all pledges made by August 22nd 2019 at 3:14pm

The aim of this project is to conduct a text analysis of newspaper articles of UK mental health nurses from 2010 until 2018.

by Dominic Joannou in Clacton On Sea, England, United Kingdom

“Construction of spoiled identities”; how some mental health nurses end up receiving negative publicity

 (Old NMC premises)

If a healthcare practitioner commits gross misconduct, there is always a risk of their receiving negative publicity. Alternatively, do newspapers meet safer recruitment needs? This research aims to answer these questions with mental health nurses (2068 people), within the Nursing and Midwifery Council www.nmc.org.ukcases.

I already have two articles being prepared for peer review quality journal submission. This whole project has and is creating new knowledge with answering research questions that have never been researched.

The data for this research has already been collected and is waiting to be analyzed. I am planning to do use text analysis to complete the last stage from the middle of August 2018 to February 2019.

I have been through this process which affects every part of one’s life. Due to a change in personal circumstances, I am now fundraising for £2000 to cover the living costs between the above dates. I don’t meet traditional funders’ criteria. After data-analysis, this would be written up for a prestigious peer-reviewed journal publication. I would acknowledge crowdfunding in the article. I intend to use this research to develop my skills with quantitative text analysis. I hope to go on to be able to use this as another employment skill in order to apply for future jobs within the research.

If interested, I have a further webpage on the construction of spoiled identities https://constructionofspoiledidentitiesukmentalhealthnursing.wordpress.com

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£100 or more pre-copyrighted articles

All pre-copyrighted articles associated with this research project.

£100 or more

0 of 20 claimed

£100 Reward

All pre-copyrighted articles associated with this research project.


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