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.
K. Stafford, None
S. Leekha, None
A. D. Harris, None