Evidence map›Paper›PMID 18519629›Full record

SynthesisQuality & safety in health care2008

The incidence and nature of in-hospital adverse events: a systematic review.

E N de Vries, M A Ramrattan, S M Smorenburg, D J Gouma, M A Boermeester

4 registry-linked trialsAbstract readSystematic Review
In one paragraph

Synthesis in Quality & safety in health care, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 557 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
557citing papers in PubMed, 10 pooled it
–field-weighted citation impact
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.

NCT01872195 nacompletednot on this mapstarted 2013, after this paper: background citation

Effects of Checklists in Surgical Care - a Study on Morbidity, Mortality and Data Quality

TypeinterventionalSponsorHaukeland University HospitalRan2013 to 2015Enrolled21,000ConditionsPostoperative Complications, Complications of Surgical Procedures or Medical CareArmsThe comprehensive patient safety checklist system
NCT02646345 completednot on this mapstarted 2012, after this paper: background citation

WHO Surgical Safety Checklist Implementation and Its Impact in Perioperative Morbidity and Mortality in an Academic Medical Center in Chile

TypeobservationalSponsorPontificia Universidad Catolica de ChileRan2012 to 2014Enrolled70,639ConditionsExternal Causes of Morbidity and Mortality, External Causes of Morbidity (V00-Y99)ArmsSurgical checklist
NCT05733221 naenrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Determining the Ease of Utilizing 3D Printed Models to Aide in Isolated Mandibular Fracture Repair

TypeinterventionalSponsorUniversity of CincinnatiRan2023 to 2026Enrolled100ConditionsMandible Fracture, Maxillofacial TraumaArms3D Printed Model
NCT06147128 unknown statusnot on this mapstarted 2023, after this paper: background citation

Proficiency Based Progression Training Versus Traditional Training During a Robotic Emergency Conversion Due to a Vessel Injury in a Simulated Setting: a Prospective, Randomized, Multicenter Clinical Trial: The T-REC Trial

TypeobservationalSponsorOrsi AcademyRan2023 to 2024Enrolled48ConditionsEducational ProblemsArmsEmergency scenario in a simulated setting where open conversion is necessary due to vessel injury during robotic surgery on a dry lab model
3 · Its place in the literature

Who cites it

557 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  9. Reducing medication errors for adults in hospital settings.The Cochrane database of systematic reviews · 2021
    Pooled it
  10. How safe is prehospital care? A systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2021
    Pooled it
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  14. Moral distress: sometimes, there is no fix.Medicine, health care, and philosophy · 2026
    Review
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  20. Observational

497 more citing papers are in PubMed but not listed here.

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

5 authors.

E N de VriesDepartment of Surgery, Academic Medical Centre, University of Amsterdam, The Netherlands.
M A Ramrattan
S M Smorenburg
D J Gouma
M A Boermeester

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdverse events in hospitals constitute a serious problem with grave consequences. Many studies have been conducted to gain an insight into this problem, but a general overview of the data is lacking. We performed a systematic review of the literature on in-hospital adverse events.

methodsA formal search of Embase, Cochrane and Medline was performed. Studies were reviewed independently for methodology, inclusion and exclusion criteria and endpoints. Primary endpoints were incidence of in-hospital adverse events and percentage of preventability. Secondary endpoints were adverse event outcome and subdivision by provider of care, location and type of event.

resultsEight studies including a total of 74 485 patient records were selected. The median overall incidence of in-hospital adverse events was 9.2%, with a median percentage of preventability of 43.5%. More than half (56.3%) of patients experienced no or minor disability, whereas 7.4% of events were lethal. Operation- (39.6%) and medication-related (15.1%) events constituted the majority. We present a summary of evidence-based interventions aimed at these categories of events.

conclusionsAdverse events during hospital admission affect nearly one out of 10 patients. A substantial part of these events are preventable. Since a large proportion of the in-hospital events are operation- or drug-related, interventions aimed at preventing these events have the potential to make a substantial difference.

Indexed as

HospitalsData Interpretation, StatisticalHealth Services ResearchHumansMedical ErrorsRisk Management

Identifiers

PMID18519629
PMCPMC2569153

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.