Impact of using data from electronic protocols in nursing performance management:: a qualitative interview study
Impact of using data from electronic protocols in nursing performance management:: a qualitative interview study
Aim: to explore the impact of using electronic data in performance management to improve nursing compliance with a protocol.
Background: electronic data is increasingly used to monitor protocol compliance but little is known about the impact on nurses' practice in hospital wards.
Method: seventeen acute hospital nursing staff participated in semi‐structured interviews about compliance with an early warning score (EWS) protocol delivered by a bedside electronic handheld device.
Results: before electronic EWS data was used to monitor compliance, staff combined protocol‐led actions with clinical judgement. However, some observations were missed to reduce noise and disruption at night. After compliance monitoring was introduced, observations were sometimes covertly omitted using a loophole. Interviewees described a loss of autonomy but acknowledged the EWS system sometimes flagged unexpected patient deterioration.
Conclusions: 1ntroducing automated electronic systems to support nursing tasks can decrease nursing burden but remove the ability to record legitimate reasons for missing observations. This can result in covert resistance that could reduce patient safety.
Implications for Nursing Management: providing the ability to log legitimate reasons for missing observations would allow nurses to balance professional judgement with the use of electronic data in performance management of protocol compliance.
Hope, Joanna
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Griffiths, Peter
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Schmidt, Paul E.
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Recio Saucedo, Alejandra
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Smith, Gary B.
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Hope, Joanna
5d49099e-13bc-49d2-88d8-48e1ec6d25fc
Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Schmidt, Paul E.
11152225-a509-4313-b88b-0c07e965f62c
Recio Saucedo, Alejandra
d05c4e43-3399-466d-99e0-01403a04b467
Smith, Gary B.
9713f86e-b7d6-4ccb-a81d-ee6c4e76e4c2
Hope, Joanna, Griffiths, Peter, Schmidt, Paul E., Recio Saucedo, Alejandra and Smith, Gary B.
(2019)
Impact of using data from electronic protocols in nursing performance management:: a qualitative interview study.
Journal of Nursing Management.
(doi:10.1111/jonm.12858).
Abstract
Aim: to explore the impact of using electronic data in performance management to improve nursing compliance with a protocol.
Background: electronic data is increasingly used to monitor protocol compliance but little is known about the impact on nurses' practice in hospital wards.
Method: seventeen acute hospital nursing staff participated in semi‐structured interviews about compliance with an early warning score (EWS) protocol delivered by a bedside electronic handheld device.
Results: before electronic EWS data was used to monitor compliance, staff combined protocol‐led actions with clinical judgement. However, some observations were missed to reduce noise and disruption at night. After compliance monitoring was introduced, observations were sometimes covertly omitted using a loophole. Interviewees described a loss of autonomy but acknowledged the EWS system sometimes flagged unexpected patient deterioration.
Conclusions: 1ntroducing automated electronic systems to support nursing tasks can decrease nursing burden but remove the ability to record legitimate reasons for missing observations. This can result in covert resistance that could reduce patient safety.
Implications for Nursing Management: providing the ability to log legitimate reasons for missing observations would allow nurses to balance professional judgement with the use of electronic data in performance management of protocol compliance.
Text
Impact of using data from electronic protocols in nursing performance management
- Accepted Manuscript
More information
Accepted/In Press date: 30 August 2019
e-pub ahead of print date: 4 September 2019
Identifiers
Local EPrints ID: 434029
URI: http://eprints.soton.ac.uk/id/eprint/434029
ISSN: 0966-0429
PURE UUID: f36e89fc-2760-4f99-80b1-6843e6ac985f
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Date deposited: 11 Sep 2019 16:30
Last modified: 17 Mar 2024 03:21
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Author:
Paul E. Schmidt
Author:
Gary B. Smith
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