Chu, Ann;
Kumar, Arika;
Depoorter, Geraldine;
Franklin, Bryony Dean;
McLeod, Monsey;
(2022)
Learning from electronic prescribing errors: a mixed methods study of junior doctors' perceptions of training and individualised feedback data.
BMJ Open
, 12
(12)
, Article e056221. 10.1136/bmjopen-2021-056221.
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Abstract
OBJECTIVES: To explore the views of junior doctors towards (1) electronic prescribing (EP) training and feedback, (2) readiness for receiving individualised feedback data about EP errors and (3) preferences for receiving and learning from EP feedback. DESIGN: Explanatory sequential mixed methods study comprising quantitative survey (phase 1), followed by interviews and focus group discussions (phase 2). SETTING: Three acute hospitals of a large English National Health Service organisation. PARTICIPANTS: 25 of 89 foundation year 1 and 2 doctors completed the phase 1 survey; 5 participated in semi-structured interviews and 7 in a focus group in phase 2. RESULTS: Foundation doctors in this mixed methods study reported that current feedback provision on EP errors was lacking or informal, and that existing EP training and resources were underused. They believed feedback about prescribing errors to be important and were keen to receive real-time, individualised EP feedback data. Feedback needed to be in manageable amounts, motivational and clearly signposting how to learn or improve. Participants wanted feedback and better training on the EP system to prevent repeating errors. In addition to individualised EP error data, they were positive about learning from general prescribing errors and aggregated EP data. However, there was a lack of consensus about how best to learn from statistical data. Potential limitations identified by participants included concern about how the data would be collected and whether it would be truly reflective of their performance. CONCLUSIONS: Junior doctors would value feedback on their prescribing, and are keen to learn from EP errors, develop their clinical prescribing skills and use the EP interface effectively. We identified preferences for EP technology to enable provision of real-time data in combination with feedback to support learning and potentially reduce prescribing errors.
Type: | Article |
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Title: | Learning from electronic prescribing errors: a mixed methods study of junior doctors' perceptions of training and individualised feedback data |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1136/bmjopen-2021-056221 |
Publisher version: | http://dx.doi.org/10.1136/bmjopen-2021-056221 |
Language: | English |
Additional information: | This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > Practice and Policy |
URI: | https://discovery.ucl.ac.uk/id/eprint/10162348 |
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