SynthesisBMJ quality & safety2023
Incidence and characteristics of adverse events in paediatric inpatient care: a systematic review and meta-analysis.
Synthesis in BMJ quality & safety, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- Trigger tools in healthcare settings: insights from an umbrella review.BMJ open quality · 2025Pooled it
- How does the SARS-CoV-2 reinfection rate change over time? The global evidence from systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Influencing factors comparing different vault groups after phakic implantable collamer lens implantation: review and meta-analysis.BMC ophthalmology · 2024Pooled it
- Breaking the safety barrier: Risk factors for unjustified non-acceptance of pharmaceutical interventions in the PICU and their association with mortality.Exploratory research in clinical and social pharmacy · 2026Article
- Development and evaluation of a German Paediatric Trigger Tool (PAED-TT-GER) for detecting adverse events in hospitalized children.European journal of pediatrics · 2026Article
- Parental involvement in patient safety events in paediatric emergency care: a multi-method analysis.BMJ paediatrics open · 2026Article
- Use of Failure Mode and Effect Analysis Methods in Pediatric and Adolescent Hospital Care: A Scoping Review.Journal of patient safety · 2025Article
- Ensuring the safety of newborns and children through community and healthcare actions.PLoS medicine · 2025Article
- Experiences of the development and use of a Paediatric Oncology Trigger Tool.BMJ open quality · 2025Article
- The problem with the existing reporting standards for adverse event and medical error research.BMJ quality & safety · 2025Article
- Development of a trigger tool to identify adverse events and no-harm incidents in paediatric oncology: a modified Delphi process using expert knowledge and user experiences.Frontiers in health services · 2025Article
- Inequities in Inpatient Pediatric Patient Safety Events by Category.Hospital pediatrics · 2024Article
- Leveraging Open-Source Large Language Models for Data Augmentation in Hospital Staff Surveys: Mixed Methods Study.JMIR medical education · 2024Article
- Validation of the rates of adverse event incidence in administrative healthcare data through patient chart review: A scoping review protocol.HRB open research · 2023Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdverse events (AEs) cause suffering for hospitalised children, a fragile patient group where the delivery of adequate timely care is of great importance.
objectiveTo report the incidence and characteristics of AEs, in paediatric inpatient care, as detected with the Global Trigger Tool (GTT), the Trigger Tool (TT) or the Harvard Medical Practice Study (HMPS) method.
methodMEDLINE, Embase, Web of Science and Google Scholar were searched from inception to June 2021, without language restrictions. Studies using manual record review were included if paediatric data were reported separately. We excluded studies reporting: AEs for a specific disease/diagnosis/treatment/procedure, or deceased patients; study protocols with no AE outcomes; conference abstracts, editorials and systematic reviews; clinical incident reports as the primary data source; and studies focusing on specific AEs only. Methodological risk of bias was assessed using a tool based on the Quality Assessment Tool for Diagnostic Accuracy Studies 2. Primary outcome was the percentage of admissions with ≥1 AEs. All statistical analyses were stratified by record review methodology (GTT/TT or HMPS) and by type of population. Meta-analyses, applying random-effects models, were carried out. The variability of the pooled estimates was characterised by 95% prediction intervals (PIs).
resultsWe included 32 studies from 44 publications, conducted in 15 countries totalling 33 873 paediatric admissions. The total number of AEs identified was 8577. The most common types of AEs were nosocomial infections (range, 6.8%-59.6%) for the general care population and pulmonary-related (10.5%-36.7%) for intensive care. The reported incidence rates were highly heterogeneous. The PIs for the primary outcome were 3.8%-53.8% and 6.9%-91.6% for GTT/TT studies (general and intensive care population). The equivalent PI was 0.3%-33.7% for HMPS studies (general care). The PIs for preventable AEs were 7.4%-96.2% and 4.5%-98.9% for GTT/TT studies (general and intensive care population) and 10.4%-91.8% for HMPS studies (general care). The quality assessment indicated several methodological concerns regarding the included studies.
conclusionThe reported incidence of AEs is highly variable in paediatric inpatient care research, and it is not possible to estimate a reliable single rate. Poor reporting standards and methodological differences hinder the comparison of study results.
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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.