Literature DB >> 22458870

A before and after study assessing the impact of a new model for recognizing and responding to early signs of deterioration in an acute hospital.

Ann McDonnell1, Angela Tod, Kate Bray, Derek Bainbridge, Dawn Adsetts, Stephen Walters.   

Abstract

AIM: To evaluate the impact of a new model for the detection and management of deteriorating patients on knowledge and confidence of nursing staff in an acute hospital.
BACKGROUND: International evidence shows that clinical deterioration is not always recognized or acted on by nurses. The use of physiological track and trigger scoring systems accompanied by a graded response strategy has been recommended to monitor all adult patients in acute UK hospitals. However, little is known about the impact of these new systems in practice.
DESIGN: A single centre, mixed methods before-and-after study.
METHODS: A mixed methods before-and-after study, set in a district general hospital in England, in 2009, including a survey (n = 213) and qualitative interviews (n = 15) with nursing staff. The questionnaire examined knowledge and confidence in recognition and management of deteriorating patients 6 weeks before and after an intervention which included training, new observation charts and a new track and trigger system. Interviews further explored participants' perspectives. Comparisons were made between registered and unregistered nurses.
RESULTS: Following the intervention, knowledge, and confidence to recognize and manage deteriorating patients increased; the number of concerns were reduced. Scores were higher for registered than unregistered nurses before and after the intervention. Interviews confirmed these findings and provided detail on how nurses felt the new system had improved practice.
CONCLUSION: The new model had a positive impact on the self-assessed knowledge and confidence of registered and unregistered nurses. Similar initiatives should take into account the clinical context and tailor training packages accordingly.
© 2012 Blackwell Publishing Ltd.

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Mesh:

Year:  2012        PMID: 22458870     DOI: 10.1111/j.1365-2648.2012.05986.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  6 in total

Review 1.  Early warning systems and rapid response systems for the prevention of patient deterioration on acute adult hospital wards.

Authors:  Jennifer McGaughey; Dean A Fergusson; Peter Van Bogaert; Louise Rose
Journal:  Cochrane Database Syst Rev       Date:  2021-11-22

Review 2.  Nurses' worry or concern and early recognition of deteriorating patients on general wards in acute care hospitals: a systematic review.

Authors:  Gooske Douw; Lisette Schoonhoven; Tineke Holwerda; Getty Huisman-de Waal; Arthur R H van Zanten; Theo van Achterberg; Johannes G van der Hoeven
Journal:  Crit Care       Date:  2015-05-20       Impact factor: 9.097

Review 3.  What factors influence ward nurses' recognition of and response to patient deterioration? An integrative review of the literature.

Authors:  Debbie Massey; Wendy Chaboyer; Vinah Anderson
Journal:  Nurs Open       Date:  2016-04-26

4.  Optimising paediatric afferent component early warning systems: a hermeneutic systematic literature review and model development.

Authors:  Nina Jacob; Yvonne Moriarty; Amy Lloyd; Mala Mann; Lyvonne N Tume; Gerri Sefton; Colin Powell; Damian Roland; Robert Trubey; Kerenza Hood; Davina Allen
Journal:  BMJ Open       Date:  2019-11-14       Impact factor: 2.692

5.  Why do healthcare professionals fail to escalate as per the early warning system (EWS) protocol? A qualitative evidence synthesis of the barriers and facilitators of escalation.

Authors:  M Ryan; M O'Neill; S M O'Neill; B Clyne; M Bell; A Casey; B Leen; S M Smith
Journal:  BMC Emerg Med       Date:  2021-01-28

6.  Using the National Early Warning Score (NEWS) outside acute hospital settings: a qualitative study of staff experiences in the West of England.

Authors:  Emer Brangan; Jonathan Banks; Heather Brant; Anne Pullyblank; Hein Le Roux; Sabi Redwood
Journal:  BMJ Open       Date:  2018-10-27       Impact factor: 2.692

  6 in total

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