https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A systematic review of rapid response applications based on early warning score for early detection of inpatient deterioration
Data Science Team, Orion Health, Auckland, New Zealand.
Auckland University of Technology, Auckland, New Zealand.
Auckland University of Technology, Auckland, New Zealand.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1940-1747
2021 (English)In: Informatics for Health and Social Care, ISSN 1753-8157, E-ISSN 1753-8165, Vol. 46, no 2, p. 148-157Article in journal (Refereed) Published
Abstract [en]

Aim: The aim of this study was to investigate the effectiveness of current rapid response applications available in acute care settings for escalation of patient deterioration. Current challenges and barriers, as well as key recommendations, were also discussed. Methods: We adopted PRISMA review methodology and screened a total of 559 articles. After considering the eligibility and selection criteria, we selected 13 articles published between 2015 and 2019. The selection criteria were based on the inclusion of studies that report on the advancement made to the current practice for providing rapid response to the patient deterioration in acute care settings. Results: We found that current rapid response applications are complicated and time-consuming for detecting inpatient deterioration. Existing applications are either siloed or challenging to use, where clinicians are required to move between two or three different applications to complete an end-to-end patient escalation workflow–from vital signs collection to escalation of deteriorating patients. We found significant differences in escalation and responses when using an electronic tool compared to the manual approach. Moreover, encouraging results were reported in extensive documentation of vital signs and timely alerts for patient deterioration. Conclusion: The electronic vital signs monitoring applications are proved to be efficient and clinically suitable if they are user-friendly and interoperable. As an outcome, several key recommendations and features were identified that would be crucial to the successful implementation of any rapid response system in all clinical settings.

Place, publisher, year, edition, pages
Taylor and Francis Ltd. , 2021. Vol. 46, no 2, p. 148-157
Keywords [en]
early detection of patient deterioration, early warning score, patient deteriorating, Rapid response application
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-53481DOI: 10.1080/17538157.2021.1873349ISI: 000609593100001PubMedID: 33472485Scopus ID: 2-s2.0-85099742320OAI: oai:DiVA.org:mdh-53481DiVA, id: diva2:1529672
Available from: 2021-02-19 Created: 2021-02-19 Last updated: 2021-06-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Lindén, Maria

Search in DiVA

By author/editor
Lindén, Maria
By organisation
Embedded Systems
In the same journal
Informatics for Health and Social Care
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 200 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf