Dalarna University's logo and link to the university's website

du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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
Variation in detected adverse events using trigger tools: A systematic review and meta-analysis
University of Basel, Basel, Switzerland.
University of Bern, Bern, Switzerland.
University of Basel, Basel, Switzerland.
University of Basel, Basel, Switzerland; College of Health Care-Professions Claudiana, Bozen-Bolzano, Italy.
Show others and affiliations
2022 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 17, no 9, article id e0273800Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Adverse event (AE) detection is a major patient safety priority. However, despite extensive research on AEs, reported incidence rates vary widely.

OBJECTIVE: This study aimed: (1) to synthesize available evidence on AE incidence in acute care inpatient settings using Trigger Tool methodology; and (2) to explore whether study characteristics and study quality explain variations in reported AE incidence.

DESIGN: Systematic review and meta-analysis.

METHODS: To identify relevant studies, we queried PubMed, EMBASE, CINAHL, Cochrane Library and three journals in the patient safety field (last update search 25.05.2022). Eligible publications fulfilled the following criteria: adult inpatient samples; acute care hospital settings; Trigger Tool methodology; focus on specialty of internal medicine, surgery or oncology; published in English, French, German, Italian or Spanish. Systematic reviews and studies addressing adverse drug events or exclusively deceased patients were excluded. Risk of bias was assessed using an adapted version of the Quality Assessment Tool for Diagnostic Accuracy Studies 2. Our main outcome of interest was AEs per 100 admissions. We assessed nine study characteristics plus study quality as potential sources of variation using random regression models. We received no funding and did not register this review.

RESULTS: Screening 6,685 publications yielded 54 eligible studies covering 194,470 admissions. The cumulative AE incidence was 30.0 per 100 admissions (95% CI 23.9-37.5; I2 = 99.7%) and between study heterogeneity was high with a prediction interval of 5.4-164.7. Overall studies' risk of bias and applicability-related concerns were rated as low. Eight out of nine methodological study characteristics did explain some variation of reported AE rates, such as patient age and type of hospital. Also, study quality did explain variation.

CONCLUSION: Estimates of AE studies using trigger tool methodology vary while explaining variation is seriously hampered by the low standards of reporting such as the timeframe of AE detection. Specific reporting guidelines for studies using retrospective medical record review methodology are necessary to strengthen the current evidence base and to help explain between study variation.

Place, publisher, year, edition, pages
2022. Vol. 17, no 9, article id e0273800
National Category
Health Sciences
Identifiers
URN: urn:nbn:se:du-42519DOI: 10.1371/journal.pone.0273800ISI: 000892263300068PubMedID: 36048863Scopus ID: 2-s2.0-85137138481OAI: oai:DiVA.org:du-42519DiVA, id: diva2:1693652
Available from: 2022-09-07 Created: 2022-09-07 Last updated: 2023-03-17Bibliographically approved

Open Access in DiVA

fulltext(1994 kB)130 downloads
File information
File name FULLTEXT01.pdfFile size 1994 kBChecksum SHA-512
7015987b2bb7e59e531d236a71508eb1d1ddc3fe20fc40e2c3faf6132399d97b47c9c569b0de40cf3f98a5bd06f7fdab94d24ef87173ac20888ec73ba5f13fd9
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Unbeck, Maria

Search in DiVA

By author/editor
Unbeck, Maria
By organisation
Caring Science/Nursing
In the same journal
PLOS ONE
Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 130 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 119 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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