Impact of sample size on variation of adverse events and preventable adverse events: systematic review on epidemiology and contributing factors.
OBJECTIVE
To perform a systematic review of the frequency of (preventable) adverse events (AE/PAE) and to analyse contributing factors, such as sample size, settings, type of events, terminology, methods of collecting data and characteristics of study populations.


METHODS
Search of Medline and Embase from 1995 to 2007. Included were original papers with data on the frequency of AE or PAE, explicit definition of study population and information about methods of assessment. Results were included with percentages of patients having one or more AE/PAE. Extracted data enclosed contributing factors. Data were abstracted and analysed by two researchers independently.


RESULTS
156 studies in 152 publications met our inclusion criteria. 144/156 studies reported AE, 55 PAE (43 both). Sample sizes ranged from 60 to 8,493,876 patients (median: 1361 patients). The reported results for AE varied from 0.1% to 65.4%, and for PAE from 0.1% to 33.9%. Variation clearly decreased with increasing sample size. Estimates did not differ according to setting, type of event or terminology. In studies with fewer than 1000 patients, chart review prevailed, whereas surveys with more than 100,000 patients were based mainly on administrative data. No effect of patient characteristics was found.


CONCLUSIONS
The funnel-shaped distribution of AE and PAE rates with sample size is a probable consequence of variation and can be taken as an indirect indicator of study validity. A contributing factor may be the method of data assessment. Further research is needed to explain the results when analysing data by types of event or terminology.
Lessing
Constanze
C
Institute for Patient Safety, University of Bonn, D-53111 Bonn, Germany. lessing@ukb.uni-bonn.de
Schmitz
Astrid
A
Albers
Bernhard
B
Schrappe
Matthias
M
D015984:Causality; D004813:Epidemiology; D006801:Humans; D019300:Medical Errors / Q000517:prevention & control* / Q000639:trends; D011787:Quality of Health Care; D017751:Safety Management; D018401:Sample Size; D009626:Terminology as Topic