Evidence map›Paper›PMID 31270254›Full record

Observational studyBMJ quality & safety2020

Study of a multisite prospective adverse event surveillance system.

Alan J Forster, Allen Huang, Todd C Lee, Alison Jennings, Omer Choudhri, Chantal Backman

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ quality & safety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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.

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

7 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Hospital-acquired complications in critically ill patients.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2021
    Article
  5. Observational
  6. Article
  7. 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

6 authors.

Alan J ForsterClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada aforster@ohri.ca.ORCID 0000-0003-2942-2891
Allen HuangGeriatric Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada.
Todd C LeeGeneral Internal Medicine, McGill University Department of Medicine, Montréal, Québec, Canada.
Alison JenningsClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0002-9452-3990
Omer ChoudhriInternal Medicine & Critical Care, Queensway Carleton Hospital, Ottawa, Ontario, Canada.
Chantal BackmanClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0001-7431-8159

Funding

CIHR MOP-111073
6 · The paper itself

Abstract

backgroundWe have designed a prospective adverse event (AE) surveillance method. We performed this study to evaluate this method's performance in several hospitals simultaneously.

objectivesTo compare AE rates obtained by prospective AE surveillance in different hospitals and to evaluate measurement factors explaining observed variation.

methodsWe conducted a multicentre prospective observational study. Prospective AE surveillance was implemented for 8 weeks on the general medicine wards of five hospitals. To determine if population factors may have influenced results, we performed mixed-effects logistic regression. To determine if surveillance factors may have influenced results, we reassigned observers to different hospitals midway through surveillance period and reallocated a random sample of events to different expert review teams.

resultsDuring 3560 patient days of observation of 1159 patient encounters, we identified 356 AEs (AE risk per encounter=22%). AE risk varied between hospitals ranging from 9.9% of encounters in Hospital D to 35.8% of encounters in Hospital A. AE types and severity were similar between hospitals-the most common types were related to clinical procedures (45%), hospital-acquired infections (21%) and medications (19%). Adjusting for age and comorbid status, we observed an association between hospital and AE risk. We observed variation in observer behaviour and moderate agreement between clinical reviewers, which could have influenced the observed rate difference.

conclusionThis study demonstrated that it is possible to implement prospective surveillance in different settings. Such surveillance appears to be better suited to evaluating hospital safety concerns within rather than between hospitals as we could not definitively rule out whether the observed variation in AE risk was due to population or surveillance factors.

Indexed as

HospitalsPatient SafetyProgram EvaluationAgedAged, 80 and overCanadaFemaleHumansMaleMiddle AgedObserver VariationProspective StudiesSafety Managementadverse events, epidemiology and detectionpatient safetytrigger tools

Identifiers

PMID31270254
PMCPMC7146931

What OpenQuestion holds

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Registered trials

None linked

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.