Williamson, K. , Nimegeer, A. and Lean, M. (2022) 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. Journal of Research in Nursing, 27(7), pp. 623-636. (doi: 10.1177/17449871221122040) (PMID:36405806) (PMCID:PMC9669932)
![[img]](https://eprints.gla.ac.uk/style/images/fileicons/text.png) |
Text
266653.pdf - Published Version Available under License Creative Commons Attribution. 622kB |
|
Text
266653Suppl1.pdf - Supplemental Material 559kB |
|
Text
266653Suppl2.pdf - Supplemental Material 4MB |
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.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Nimegeer, Dr Amy and Lean, Professor Michael and Williamson, Kath |
| Authors: | Williamson, K., Nimegeer, A., and Lean, M. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing |
| Journal Name: | Journal of Research in Nursing |
| Publisher: | SAGE Publications |
| ISSN: | 1744-9871 |
| ISSN (Online): | 1744-988X |
| Published Online: | 15 November 2022 |
| Copyright Holders: | Copyright © 2022 The Authors |
| First Published: | First published in Journal of Research in Nursing 27(7): 623-636 |
| Publisher Policy: | Reproduced under a Creative Commons License |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric