Evidence map›Paper›PMID 25749028›Full record

ArticleBMJ quality & safety2015

Application of a trigger tool in near real time to inform quality improvement activities: a prospective study in a general medicine ward.

Brian M Wong, Sonia Dyal, Edward E Etchells, Sandra Knowles, Lauren Gerard, Artemis Diamantouros, Rajin Mehta, Barbara Liu, G Ross Baker, Kaveh G Shojania

Registry-linked trialAbstract read
In one paragraph

Article in BMJ quality & safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03781713 (Prospective Clinical Surveillance With Application of Trigger Tools in Critically Ill Patients), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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.

NCT03781713 phase2completednot on this mapstarted 2017, after this paper: background citation

Prospective Clinical Surveillance With Application of Trigger Tools in Critically Ill Patients

TypeinterventionalSponsorHospital Sao DomingosRan2017 to 2018Enrolled1,200ConditionsCritical IllnessArmsKDIGO, Delta SOFA, Hypoglycemia, Drug interaction risk D or X, Antimicrobial stewardship
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  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. Comparing rates of adverse events detected in incident reporting and the Global Trigger Tool: a systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
    Pooled it
  4. Trial
  5. Article
  6. Article
  7. Observational
  8. The impact of hospital harm on length of stay, costs of care and length of person-centred episodes of care: a retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2019
    Article
  9. Article
  10. Improving the quality of health care in Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2018
    Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Clinical Information Systems - From Yesterday to Tomorrow.Yearbook of medical informatics · 2016
    Review
  19. Safety in healthcare is a moving target.BMJ quality & safety · 2015
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Brian M WongDepartment of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Sonia DyalVeterans and Community Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Edward E EtchellsDepartment of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Sandra KnowlesApplied Health Research Centre, St. Michael's Hospital, Toronto, Canada.
Lauren GerardDepartment of Medicine, University of Toronto, Toronto, Canada.
Artemis DiamantourosPharmacy, Sunnybrook Health Sciences Centre, Toronto, Canada.
Rajin MehtaDepartment of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Barbara LiuRegional Geriatric Program, Sunnybrook Health Sciences Centre, Toronto, Canada.
G Ross BakerInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Kaveh G ShojaniaDepartment of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRetrospective record review using trigger tools remains the most widely used method for measuring adverse events (AEs) to identify targets for improvement and measure temporal trends. However, medical records often contain limited information about factors contributing to AEs. We implemented an augmented trigger tool that supplemented record review with debriefing front-line staff to obtain details not included in the medical record. We hypothesised that this would foster the identification of factors contributing to AEs that could inform improvement initiatives.

methodA trained observer prospectively identified events in consecutive patients admitted to a general medical ward in a tertiary care academic medical centre (November 2010 to February 2011 inclusive), gathering information from record review and debriefing front-line staff in near real time. An interprofessional team reviewed events to identify preventable and potential AEs and characterised contributing factors using a previously published taxonomy.

resultsAmong 141 patients, 14 (10%; 95% CI 5% to 15%) experienced at least one preventable AE; 32 patients (23%; 95% CI 16% to 30%) experienced at least one potential AE. The most common contributing factors included policy and procedural problems (eg, routine protocol violations, conflicting policies; 37%), communication and teamwork problems (34%), and medication process problems (23%). However, these broad categories each included distinct subcategories that seemed to require different interventions. For instance, the 32 identified communication and teamwork problems comprised 7 distinct subcategories (eg, ineffective intraprofessional handovers, poor interprofessional communication, lacking a shared patient care, paging problems). Thus, even the major categories of contributing factors consisted of subcategories that individually related to a much smaller subset of AEs.

conclusionsProspective application of an augmented trigger tool identified a wide range of factors contributing to AEs. However, the majority of contributing factors accounted for a small number of AEs, and more general categories were too heterogeneous to inform specific interventions. Successfully using trigger tools to stimulate quality improvement activities may require development of a framework that better classifies events that share contributing factors amenable to the same intervention.

Indexed as

Patient SafetyQuality ImprovementAcademic Medical CentersAgedAged, 80 and overFemaleHospitalsHumansMaleMedical RecordsMiddle AgedNear Miss, HealthcareOntarioPatients' RoomsProspective StudiesSafety ManagementAdverse events, epidemiology and detectionHospital medicineTrigger tools

Identifiers

PMID25749028
PMCPMC4387453

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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.