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PMID: 18636783 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Validation Study

Is the principle of a stable Heinrich ratio a myth? A multimethod analysis.

Drug safety ·Vol. 31 ·No. 8 ·2008-00-00 ·Pages 637-42

Gallivan S, Taxis K, Dean Franklin B, Barber N

Abstract

Safety improvements are sometimes based on the premise that introducing measures to combat minor or no-harm incidents proportionately reduces the incidence of major incidents involving harm. This is in line with the principle of the Heinrich ratio, which asserts that there is a relatively fixed ratio between the incidence of no-harm incidents, minor incidents and major incidents. This principle has been advocated as a means of targeting and evaluating new safety initiatives. Both thought experimentation and analysis of empirical data were used to examine the plausibility of this principle. A descriptive statistical analysis was carried out using triangle plots to display the relative frequencies of the occurrence of safety incidents classified as minor, moderate or severe. Thought experiments indicated that the principle of a fixed Heinrich ratio has a dubious logical foundation. Analysis of emergency department attendance and studies of medication errors demonstrated marked variation in the relative ratios of different outcomes. Triangle plots of UK road traffic accident data revealed a hitherto unrecognized systematic pattern of change that contradicts the principle of the Heinrich ratio. This study of the principle of a fixed Heinrich ratio invalidates it: introducing measures to reduce the incidence of minor incidents will not inevitably reduce the incidence of major incidents pro rata. Any safety policies based on the assumption that the Heinrich ratio is true need to be rethought.

MeSH Terms
Accidents, Traffic/prevention & control,statistics & numerical data Data Interpretation, Statistical Humans Medication Errors/prevention & control,statistics & numerical data Models, Statistical Research Design Safety Management/methods
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Gallivan Steve
Clinical Operational Research Unit, Department of Mathematics, University College London, London, UK.
Taxis Katja
Dean Franklin Bryony
Barber Nick
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Article Info
Journal
Drug safety
Abbr.
Drug Saf
ISSN
0114-5916
Published
2008-00-00
Pages
637-42
Language
English
Region
New Zealand
NLM ID
9002928
Subset
IM
Grants
Department of Health · United Kingdom
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