Cited by 11Statistical Methods in EpidemiologyPatient Safety and Medication ErrorsProbability and Statistical Research

Estimating risk when zero events have been observed

Open access
Quigley, John, Revie, Matthew, Dawson, Jesse·2013·BMJ Quality & Safety

Abstract

Assessing the risk of complications or adverse events following an intervention presents challenges when they have not yet occurred. Suppose, for instance, a chronic shortage of cardiac telemetry beds has prompted a hospital to implement a new policy that places low-risk patients admitted to ‘rule out myocardial infarction’ in regular ward beds (ie, with no telemetry). After 6 months and the admission of 100 such patients, no cardiac arrests or other untoward events have occurred. This absence of harm (ie, zero adverse events) indicates a low risk, but clearly we cannot infer a risk of zero on the basis of only 100 patients. But, what can we say about the true underlying risk?

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Crossref · 10.1136/bmjqs-2013-002246

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Authors
Quigley, J., Revie, M., & Dawson, J.
Affiliations
  • University of Strathclyde (GB)
  • University of Glasgow (GB)
Corresponding author
Revie, Matthew
Venue
BMJ Quality & Safety
Publisher
BMJ
Published
2013-08-19
Volume
22
Issue
12
Pages
1042-1043
ISSN
  • 1475-3898 (ISSN-L)
  • 2044-5415
  • 2044-5423
OpenAlex
W2108679540
Cited by
11
References
5
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 2
FWCI
0.00
Type
journal article
Language
en
Locations
  • BMJ Quality & Safety (publishedVersion)
  • PubMed (publishedVersion)
  • Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords
risk estimation, adverse events, complication risk, cardiac telemetry, myocardial infarction, hospital policy
MeSH terms
Quality of Health Care, Risk Management, Scotland, Risk Assessment

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