Literature DB >> 29177409

Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence.

Fergal Connolly1,2, Dara Byrne2,3, Sinéad Lydon2,3, Chloe Walsh1,2, Paul O'Connor1,2.   

Abstract

PURPOSE: To identify the barriers to, and facilitators of, the implementation of physiological track and trigger systems (PTTSs), perceived by healthcare workers, through a systematic review of the extant qualitative literature. DATA SOURCES: Searches were performed in PUBMED, CINAHL, PsycInfo, Embase and Web of Science. The reference lists of included studies were also screened. STUDY SELECTION: The electronic searches yielded 2727 papers. After removing duplicates, and further screening, a total of 10 papers were determined to meet the inclusion criteria and were reviewed. DATA EXTRACTION: A deductive content analysis approach was taken to organizing and analysing the data. A framework consisting of two overarching dimensions ('User-related changes required to implement PTTSs effectively' and 'Factors that affect user-related changes'), 5 themes (staff perceptions of PTTSs and patient safety, workflow adjustment, PTTS, implementation process and local context) and 14 sub themes was used to classify the barriers and facilitators to the implementation of PTTSs. RESULTS OF DATA SYNTHESIS: Successful implementation of a PTTS must address the social context in which it is to be implemented by ensuring that the users believe that the system is effective and benefits patient care. The users must feel invested in the PTTS and its use must be supported by training to ensure that all healthcare workers, senior and junior, understand their role in using the system.
CONCLUSION: PTTSs can improve patient safety and quality of care. However, there is a need for a robust implementation strategy or the benefits of PTTSs will not be realized.
© The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Entities:  

Keywords:  critical illness; early warning score; early warning system; qualitative methods; systematic review

Mesh:

Year:  2017        PMID: 29177409     DOI: 10.1093/intqhc/mzx148

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  6 in total

1.  Nurses' Experiences and Perceptions of two Early Warning Score systems to Identify Patient Deterioration-A Focus Group Study.

Authors:  Caroline S Langkjaer; Dorthe G Bove; Pernille B Nielsen; Kasper K Iversen; Morten H Bestle; Gitte Bunkenborg
Journal:  Nurs Open       Date:  2021-02-27

2.  Potential value of patient record review to assess and improve patient safety in general practice: A systematic review.

Authors:  Caoimhe Madden; Sinéad Lydon; Ciara Curran; Andrew W Murphy; Paul O'Connor
Journal:  Eur J Gen Pract       Date:  2018-12       Impact factor: 1.904

3.  Introducing the National Early Warning Score - A qualitative study of hospital nurses' perceptions and reactions.

Authors:  Jørghild Karlotte Jensen; Randi Skår; Bodil Tveit
Journal:  Nurs Open       Date:  2019-04-25

4.  Assessment of Barriers and Enablers to Implementation of a Pediatric Early Warning System in Resource-Limited Settings.

Authors:  Asya Agulnik; Gia Ferrara; Maria Puerto-Torres; Srinithya R Gillipelli; Paul Elish; Hilmarie Muniz-Talavera; Alejandra Gonzalez-Ruiz; Miriam Armenta; Camila Barra; Rosdali Diaz; Cinthia Hernandez; Susana Juárez Tobias; Jose de Jesus Loeza; Alejandra Mendez; Erika Montalvo; Eulalia Penafiel; Estuardo Pineda; Dylan E Graetz
Journal:  JAMA Netw Open       Date:  2022-03-01

Review 5.  Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance.

Authors:  Geetha Mahadevaiah; Prasad Rv; Inigo Bermejo; David Jaffray; Andre Dekker; Leonard Wee
Journal:  Med Phys       Date:  2020-06       Impact factor: 4.071

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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