Evidence map›Paper›PMID 28320786›Full record

ArticleBMJ open2017

Exploring similarities and differences in hospital adverse event rates between Norway and Sweden using Global Trigger Tool.

Ellen Tveter Deilkås, Madeleine Borgstedt Risberg, Marion Haugen, Jonas Christoffer Lindstrøm, Urban Nylén, Hans Rutberg, Soop Michael

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Predictive values of trigger tools for identifying adverse events in hospitalized patients using a medical record review: a systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Adverse Drug Reactions in Norway: A Systematic Review.Pharmacy (Basel, Switzerland) · 2019
    Review
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Patient and hospital characteristics that influence incidence of adverse events in acute public hospitals in Portugal: a retrospective cohort study.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Ellen Tveter DeilkåsNational Patient Safety Program, Norwegian Directorate of Health, Oslo, Norway.ORCID 0000-0001-6527-5636
Madeleine Borgstedt RisbergCenter for Healthcare Development, County Council of Östergötland, Sweden.
Marion HaugenNorwegian Computing Center, Oslo, Norway.
Jonas Christoffer LindstrømHealth Services Research Center, Akershus University Hospital, Lørenskog, Norway.
Urban NylénNational Board of Health and Welfare, Stockholm, Sweden.
Hans RutbergDivision of Health Care Analysis, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Soop MichaelNational Board of Health and Welfare, Stockholm, Sweden.
National Board of Health and Welfare · SEAkershus University Hospital · NOLinköping University · SENorwegian Computing Center · NONorwegian Directorate of Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this paper, we explore similarities and differences in hospital adverse event (AE) rates between Norway and Sweden by reviewing medical records with the Global Trigger Tool (GTT).

designAll acute care hospitals in both countries performed medical record reviews, except one in Norway. Records were randomly selected from all eligible admissions in 2013. Eligible admissions were patients 18 years of age or older, undergoing care with an in-hospital stay of at least 24 hours, excluding psychiatric and care and rehabilitation. Reviews were done according to GTT methodology.

settingSimilar contexts for healthcare and similar socioeconomic and demographic characteristics have inspired the Nordic countries to exchange experiences from measuring and monitoring quality and patient safety in healthcare. The co-operation has promoted the use of GTT to monitor national and local rates of AEs in hospital care.

participants10 986 medical records were reviewed in Norway and 19 141 medical records in Sweden.

resultsNo significant difference between overall AE rates was found between the two countries. The rate was 13.0% (95% CI 11.7% to 14.3%) in Norway and 14.4% (95% CI 12.6% to 16.3%) in Sweden. There were significantly higher AE rates of surgical complications in Norwegian hospitals compared with Swedish hospitals. Swedish hospitals had significantly higher rates of pressure ulcers, falls and 'other' AEs. Among more severe AEs, Norwegian hospitals had significantly higher rates of surgical complications than Swedish hospitals. Swedish hospitals had significantly higher rates of postpartum AEs.

conclusionsThe level of patient safety in acute care hospitals, as assessed by GTT, was essentially the same in both countries. The differences between the countries in the rates of several types of AEs provide new incentives for Norwegian and Swedish governing bodies to address patient safety issues.

Indexed as

HospitalsHumansLength of StayMedical RecordsNorwayPatient SafetyQuality Indicators, Health CareSafety ManagementSwedenEPIDEMIOLOGYHEALTH SERVICES ADMINISTRATION & MANAGEMENTPUBLIC HEALTH

Identifiers

PMID28320786
PMCPMC5372041
OpenAlexW2598717986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.