Abstract
Quasi-experimental studies evaluate the association between an intervention and an outcome using experiments in which the intervention is not randomly assigned. Quasi-experimental studies are often used to evaluate rapid responses to outbreaks or other patient safety problems requiring prompt, nonrandomized interventions. Quasi-experimental studies can be categorized into 3 major types: interrupted time-series designs, designs with control groups, and designs without control groups. This methods paper highlights key considerations for quasi-experimental studies in healthcare epidemiology and antimicrobial stewardship, including study design and analytic approaches to avoid selection bias and other common pitfalls of quasi-experimental studies.
Original language | English (US) |
---|---|
Pages (from-to) | 1135-1140 |
Number of pages | 6 |
Journal | Infection control and hospital epidemiology |
Volume | 37 |
Issue number | 10 |
DOIs | |
State | Published - Oct 1 2016 |
ASJC Scopus subject areas
- Epidemiology
- Microbiology (medical)
- Infectious Diseases