426. Quasi-Experimental Studies in the Fields of Infection Control and Antibiotic Resistance, 10 Years Later: A Systematic Review for the CDC Prevention Epicenter Program
Session: Poster Abstract Session: HAI: Epidemiologic Methods
Thursday, October 5, 2017
Room: Poster Hall CD
Background: Quasi-experimental study designs, or pre-post intervention studies, are non-randomized studies used to assess the effectiveness of specific interventions. A systematic review of quasi-experimental studies in the field of infectious diseases was published in 2005. The aim of this article was to assess improvements in the design and reporting of quasi-experiments 10 years after the initial review. We also aimed to report the statistical methods used to analyze the quasi-experimental data.

Methods: We conducted a systematic review of articles published from January 1, 2013 to December 31, 2014 in four major infectious disease journals. Quasi-experimental studies focused on infection control and antibiotic resistance were identified and classified based on four criteria: type of quasi-experimental design used, justification of the use of the design, use of correct nomenclature to describe the design, and statistical methods used.

Results: Of 2600 articles, 7% featured a quasi-experimental design (n=173), more than double the findings of the previous review (n=73 out of 2320; 3%). Twelve percent utilized a study design with a control group, 4% justified the use of a quasi-experimental design, and 39% identified their design using the correct nomenclature. Two-group statistical tests were used in 43% of the studies, 34% used standard regression analysis, 10% used segmented regression analysis, 4% used standard time-series analysis, 3% used segmented time-series analysis, and 6% did not utilize statistical methods for comparisons.

Conclusion: Quasi-experimental studies are frequently used in the field of infection control and antibiotic resistance. While there was some progress over the decade, it is crucial to continue improving the design and reporting of these studies to better evaluate the effectiveness of important interventions.

Rotana Alsaggaf, MS1, Lyndsay O'Hara, PhD, MPH1, Kristen Stafford, PhD, MPH1, Surbhi Leekha, MBBS, MPH1 and Anthony D. Harris, MD, MPH2, (1)Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, (2)685 W. Baltimore Street, University of Maryland School of Medicine, Baltimore, MD

Disclosures:

R. Alsaggaf, None

L. O'Hara, None

K. Stafford, None

S. Leekha, None

A. D. Harris, None

Findings in the abstracts are embargoed until 12:01 a.m. PDT, Wednesday Oct. 4th with the exception of research findings presented at the IDWeek press conferences.