Table · dataset · 2026
Data for How effectively has a Just Culture been adopted? A qualitative study to analyse the attitudes and behaviours of clinicians and managers to clinical incident management within an NHS Hospital Trust and identify enablers and barriers to achieving a Just Culture
Listed in figshare
Objectives Just Culture aims to improve patient safety by examining the organisational and individual factors that contribute to adverse events, enabling corrective action so that errors are not repeated.
Description
This qualitative study aims to: 1.Analyse whether the attitudes and behaviours of clinicians and managers are aligned with a Just Culture 2.Identify barriers and enablers to an organisation adopting a Just Culture. Methodology This qualitative study utilised interviews and observation of Trust meetings to elicit the attitudes and behaviours of staff.
Semi-structured interviews were conducted with 13 doctors of all grades, five medical students and two managers. Five meetings that reviewed clinical incidents and mortality were observed. This was done in a single Hospital Trust in the Midlands, England.
Read the rest (4 more)
Data was thematically analysed using directed and inductive approaches. Results There is evidence of a fair incident management process within the Trust, however there was no agreed vision of a Just Culture and the majority of the staff were unfamiliar with the term. Negative perspectives relating to clinical incidents and their management persist amongst staff with many having insecurities regarding being the subject of an investigation and doubts about whether they drive improvement.
Conclusion This paper examines the significance of these findings and provides recommendations which may have application within other healthcare organisations. Major recommendations include: 1.Just Culture: Define an agreed vision of what Just Culture means to the Trust. 2.Investigations: Introduce incident management familiarisation training. 3.Learning Culture: Increase face-to-face communication of outcomes of investigations and incident review. 4.Investigators: Establishing an incident investigation team to improve the timeliness and consistency of investigations and the communication and implementation of outcomes.<br><br>Interview transcripts and field notes are in word documents Semi-structured interviews were conducted via MS Teams.
Interviews were auto-transcribed and then pseudonymised and corrected by the researchers. Recordings of the interviews were then deleted. Field notes were produced by researchers who observed hospital meetings that were held via MS Teams.
In order to protect participant confidentiality, supporting data cannot be made openly available. Further information about the data and conditions for access, please contact: s.brake@warwick.ac.uk
Links
Where it is published
- DOI doi.org/10.82444/warw.33846244.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Health services and systems 74%
Provenance · 1 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33846244 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:group:4203 | enrichment · figshare com | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |