Evidence map›Paper›PMID 30514232›Full record

ArticleBMC medical research methodology2018

Methods for evaluating adverse drug event preventability in emergency department patients.

Stephanie A Woo, Amber Cragg, Maeve E Wickham, David Peddie, Ellen Balka, Frank Scheuermeyer, Diane Villanyi, Corinne M Hohl

Abstract readMulticenter Study
In one paragraph

Article in BMC medical research methodology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Preventable adverse drug events: Descriptive epidemiology.British journal of clinical pharmacology · 2020
    Article
  12. Descriptive Epidemiology of Safety Events at an Academic Medical Center.International journal of environmental research and public health · 2020
    Article
  13. Observational
  14. Article
  15. 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

8 authors.

Stephanie A WooPharmaceutical Sciences, Vancouver General Hospital, 855 West 12th Avenue, Vancouver, BC, V5Z 1M9, Canada.
Amber CraggDepartment of Emergency Medicine, University of British Columbia, 855 West 12th Avenue, Vancouver, BC, V5Z 1M9, Canada.
Maeve E WickhamCentre for Clinical Epidemiology and Evaluation, Vancouver Coastal Research Institute, 828 West 10th Ave, Vancouver, BC, V5Z 1M9, Canada.
David PeddieCentre for Clinical Epidemiology and Evaluation, Vancouver Coastal Research Institute, 828 West 10th Ave, Vancouver, BC, V5Z 1M9, Canada.
Ellen BalkaCentre for Clinical Epidemiology and Evaluation, Vancouver Coastal Research Institute, 828 West 10th Ave, Vancouver, BC, V5Z 1M9, Canada.
Frank ScheuermeyerDepartment of Emergency Medicine, University of British Columbia, 855 West 12th Avenue, Vancouver, BC, V5Z 1M9, Canada.
Diane VillanyiDivision of Geriatrics, Department of Medicine, Vancouver General Hospital, 855 West 12th Avenue, Vancouver, BC, V5Z 1M9, Canada.
Corinne M HohlDepartment of Emergency Medicine, University of British Columbia, 855 West 12th Avenue, Vancouver, BC, V5Z 1M9, Canada. chohl@mail.ubc.ca.

Funding

CIHR
6 · The paper itself

Abstract

backgroundThere is a high degree of variability in assessing the preventability of adverse drug events, limiting the ability to compare rates of preventable adverse drug events across different studies. We compared three methods for determining preventability of adverse drug events in emergency department patients and explored their strengths and weaknesses.

methodsThis mixed-methods study enrolled emergency department patients diagnosed with at least one adverse drug event from three prior prospective studies. A clinical pharmacist and physician reviewed the medical and research records of all patients, and independently rated each event's preventability using a "best practice-based" approach, an "error-based" approach, and an "algorithm-based" approach. Raters discussed discordant ratings until reaching consensus. We assessed the inter-rater agreement between clinicians using the same assessment method, and between different assessment methods using Cohen's kappa with 95% confidence intervals (95% CI). Qualitative researchers observed discussions, took field notes, and reviewed free text comments made by clinicians in a "comment" box in the data collection form. We developed a coding structure and iteratively analyzed qualitative data for emerging themes regarding the application of each preventability assessment method using NVivo.

resultsAmong 1356 adverse drug events, a best practice-based approach rated 64.1% (95% CI: 61.5-66.6%) of events as preventable, an error-based approach rated 64.3% (95% CI: 61.8-66.9%) of events as preventable, and an algorithm-based approach rated 68.8% (95% CI: 66.1-71.1%) of events as preventable. When applying the same method, the inter-rater agreement between clinicians was 0.53 (95% CI: 0.48-0.59), 0.55 (95%CI: 0.50-0.60) and 0.55 (95% CI: 0.49-0.55) for the best practice-, error-, and algorithm-based approaches, respectively. The inter-rater agreement between different assessment methods using consensus ratings for each ranged between 0.88 (95% CI 0.85-0.91) and 0.99 (95% CI 0.98-1.00). Compared to a best practice-based assessment, clinicians believed the algorithm-based assessment was too rigid. It did not account for the complexities of and variations in clinical practice, and frequently was too definitive when assigning preventability ratings.

conclusionThere was good agreement between all three methods of determining the preventability of adverse drug events. However, clinicians found the algorithmic approach constraining, and preferred a best practice-based assessment method.

Indexed as

PharmacistsPhysiciansAdverse Drug Reaction Reporting SystemsAlgorithmsBritish ColumbiaData CollectionDrug-Related Side Effects and Adverse ReactionsEmergency Service, HospitalHumansPreventive Health ServicesReproducibility of ResultsTertiary Care CentersAdverse drug eventAdverse drug reactionExplicit reviewImplicit reviewPreventabilityPreventable

Identifiers

PMID30514232
PMCPMC6280499

What OpenQuestion holds

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LicenceCC BY
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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.