Navigating data governance approvals to use routine health and social care data to evidence the hidden population with severe obesity: a case study from a clinical academic's perspective.
J Res Nurs
; 27(7): 623-636, 2022 Nov.
Article
in English
| MEDLINE | ID: covidwho-2123298
ABSTRACT
Background:
Front-line professionals are uniquely placed to identify evidence gaps and the way routinely-collected data can help address them. This knowledge can enable incisive, clinically-relevant research.Aim:
To document an example of the real-world approvals journey within the current NHS/Higher Education regulatory landscape, from the perspective of an experienced nurse undertaking doctoral study as a clinical academic.Methods:
An instrumental case-study approach is used to explore the approvals process for a mixed-methods study. Relevant context is highlighted to aid understanding, including introduction of the General Data Protection Regulation and the integration of health and social care services.Results:
Formal approvals by nine separate stakeholders from four different organisations took nearly 3 years, including 15 initial or revised applications, assessments or agreements. Obstacles included conflicting views on what constitutes 'research' or 'service evaluation'; isolated decision-making; fragmented data systems; multiple data controllers and a changing data governance environment. The dual perspectives of being both clinician and academic using routine data are explored.Conclusions:
Practitioners face a complex approvals process to use data they routinely collect, for research or evaluation purposes. Use of data during the COVID-19 pandemic has demonstrated the need for streamlining of data governance processes. Practical recommendations are outlined.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Case report
/
Experimental Studies
/
Prognostic study
Language:
English
Journal:
J Res Nurs
Year:
2022
Document Type:
Article
Affiliation country:
17449871221122040
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