Factors affecting observations of vital signs in hospital during the night shift: nurses’ perspectives
Factors affecting observations of vital signs in hospital during the night shift: nurses’ perspectives
Background: Innovations to improve identification of physiological decline in hospitalised patients rely on timely measurement of vital signs. However, studies have indicated observations may be delayed or omitted, especially during night shifts.
Aim: To improve our understanding of patient surveillance at night through a description of knowledge, beliefs and attitudes of nurses working night shifts. Methods: In June 2015, we sent email invitations to a web-based survey to all registered nurses, midwives, and health care support staff working in a 1200-bed NHS hospital Trust. We used exploratory factor analysis to correlate survey items. Using multivariable linear regression we related factor scores with nurse characteristics (e.g. role, experience) to predict nurses’ knowledge, beliefs and attitudes about vital signs observations.
Results: Of 695 surveys received, 497 (71.5%) respondents worked at least one night shift (RNs 321 (64.59%); HCSWs 120 (24.14%); midwives 24 (4.83%); student nurses 32 (6.45%)). Survey items correlated into four factors. Nurses with greater experience believed workload and capacity to impact work at night (factor 1: workload and resources). Student nurses and midwives reported greater inclination to prioritise tasks at night. Respondents working only or more often at night, used knowledge over early warning scores to prioritise tasks during night shifts (factor 2: prioritization). Role, number of night shifts worked, and shift patterns affected perceptions of quality of care delivered at night (factor 4: responsibility and control).
Discussion: The extraction of four independent factors showed the multidimensional aspect of nurse work at night. Nurse characteristics (role, experience, and number of night shifts worked) associated with completion of care tasks. These correlated to prioritisation strategies of care tasks (attitudes and behaviours) and having a sense of control over the care at night.
Conclusion: Results of the regression model indicated the need to understand how nurse characteristics influence compliance with surveillance protocols in acute care wards.
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Recio Saucedo, Alejandra
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Griffiths, Peter
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Maruotti, Antonello
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Westwood, Greta
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Meredith, Paul
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Sayer, Nicky
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Alton, Yvonne
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Fogg, Carole
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Smith, Gary B.
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5 April 2017
Recio Saucedo, Alejandra
d05c4e43-3399-466d-99e0-01403a04b467
Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Maruotti, Antonello
7096256c-fa1b-4cc1-9ca4-1a60cc3ee12e
Westwood, Greta
6b6dc429-7ace-4d53-9b5e-866e16e16bcb
Meredith, Paul
d0a0e287-ad7f-41cb-9347-94d7a0e957c1
Sayer, Nicky
90f43ac3-6ba0-4ffe-b2d8-e76558370d7c
Alton, Yvonne
6d97fa56-f862-4f72-ba24-8130be6940db
Fogg, Carole
42057537-d443-462a-8944-c804252c973b
Smith, Gary B.
9713f86e-b7d6-4ccb-a81d-ee6c4e76e4c2
Recio Saucedo, Alejandra, Griffiths, Peter, Maruotti, Antonello, Westwood, Greta, Meredith, Paul, Sayer, Nicky, Alton, Yvonne, Fogg, Carole and Smith, Gary B.
(2017)
Factors affecting observations of vital signs in hospital during the night shift: nurses’ perspectives.
RCN International Nursing Research Conference 2017, University of Oxford Examination School, Oxford, United Kingdom.
05 - 07 Apr 2017.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
Background: Innovations to improve identification of physiological decline in hospitalised patients rely on timely measurement of vital signs. However, studies have indicated observations may be delayed or omitted, especially during night shifts.
Aim: To improve our understanding of patient surveillance at night through a description of knowledge, beliefs and attitudes of nurses working night shifts. Methods: In June 2015, we sent email invitations to a web-based survey to all registered nurses, midwives, and health care support staff working in a 1200-bed NHS hospital Trust. We used exploratory factor analysis to correlate survey items. Using multivariable linear regression we related factor scores with nurse characteristics (e.g. role, experience) to predict nurses’ knowledge, beliefs and attitudes about vital signs observations.
Results: Of 695 surveys received, 497 (71.5%) respondents worked at least one night shift (RNs 321 (64.59%); HCSWs 120 (24.14%); midwives 24 (4.83%); student nurses 32 (6.45%)). Survey items correlated into four factors. Nurses with greater experience believed workload and capacity to impact work at night (factor 1: workload and resources). Student nurses and midwives reported greater inclination to prioritise tasks at night. Respondents working only or more often at night, used knowledge over early warning scores to prioritise tasks during night shifts (factor 2: prioritization). Role, number of night shifts worked, and shift patterns affected perceptions of quality of care delivered at night (factor 4: responsibility and control).
Discussion: The extraction of four independent factors showed the multidimensional aspect of nurse work at night. Nurse characteristics (role, experience, and number of night shifts worked) associated with completion of care tasks. These correlated to prioritisation strategies of care tasks (attitudes and behaviours) and having a sense of control over the care at night.
Conclusion: Results of the regression model indicated the need to understand how nurse characteristics influence compliance with surveillance protocols in acute care wards.
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More information
Accepted/In Press date: 1 April 2016
e-pub ahead of print date: 5 April 2017
Published date: 5 April 2017
Additional Information:
Abstract number: 238
Venue - Dates:
RCN International Nursing Research Conference 2017, University of Oxford Examination School, Oxford, United Kingdom, 2017-04-05 - 2017-04-07
Identifiers
Local EPrints ID: 412139
URI: http://eprints.soton.ac.uk/id/eprint/412139
PURE UUID: 51147916-02d8-4e1b-8550-72726d885344
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Date deposited: 11 Jul 2017 16:31
Last modified: 26 Jul 2022 01:59
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Contributors
Author:
Antonello Maruotti
Author:
Greta Westwood
Author:
Paul Meredith
Author:
Nicky Sayer
Author:
Yvonne Alton
Author:
Gary B. Smith
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