Quasi-experimental Studies in the Fields of Infection Control and Antibiotic Resistance, Ten Years Later: A Systematic Review

Details

• Journal Article:
  Infect Control Hosp Epidemiol
• Personal Author:
  Alsaggaf, Rotana ; O’Hara, Lyndsay M. ; Stafford, Kristen A. ; Leekha, Surbhi ; Harris, Anthony D.
• Corporate Authors:
  CDC Prevention Epicenters Program
• Description:
  OBJECTIVE. ; A systematic review of quasi-experimental studies in the field of infectious diseases was published in 2005. The aim of this study 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 quasi-experimental data. ; DESIGN. ; Systematic review of articles published from January 1, 2013, to December 31, 2014, in 4 major infectious disease journals. ; METHODS. ; Quasi-experimental studies focused on infection control and antibiotic resistance were identified and classified based on 4 criteria: (1) type of quasi-experimental design used, (2) justification of the use of the design, (3) use of correct nomenclature to describe the design, and (4) statistical methods used. ; RESULTS. ; Of 2,600 articles, 173 (7%) featured a quasi-experimental design, compared to 73 of 2,320 articles (3%) in the previous review (P<.01). Moreover, 21 articles (12%) utilized a study design with a control group; 6 (3.5%) justified the use of a quasi-experimental design; and 68 (39%) identified their design using the correct nomenclature. In addition, 2-group statistical tests were used in 75 studies (43%); 58 studies (34%) used standard regression analysis; 18 (10%) used segmented regression analysis; 7 (4%) used standard time-series analysis; 5 (3%) used segmented time-series analysis; and 10 (6%) did not utilize statistical methods for comparisons. ; CONCLUSIONS. ; While some progress occurred over the decade, it is crucial to continue improving the design and reporting of quasi-experimental studies in the fields of infection control and antibiotic resistance to better evaluate the effectiveness of important interventions.
• Subjects:
  • Drug Resistance, Microbial
  • Infection Control
  • Non-Randomized Controlled Trials as Topic
  • Regression Analysis
  • Research Design
  • Statistics as Topic
• Source:
  Infect Control Hosp Epidemiol. 39(2):170-176
• DOI:
  http://dx.doi.org/10.1017/ice.2017.296
• Pubmed ID:
  29417922
• Pubmed Central ID:
  PMC6849395
• Document Type:
  Text ; Journal Article
• Funding:
  K24 AI079040/AI/NIAID NIH HHSUnited States/ ; U54 CK000450/CK/NCEZID CDC HHSUnited States/ ; U54CK000450/ACL/ACL HHSUnited States/
• Genre:
  Journal Article
• Volume:
  39
• Issue:
  2
• Download URL:
  https://stacks.cdc.gov/view/cdc/83094/cdc_83094_DS1.pdf
• File Type:
  [PDF - 844.65 KB]
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:927ea2604b10f931887cb8c0fb19a69f1179d7ead6e13186bcb06cd9725ef687b9f601ad9623c6fd2237d5cbf522d2fae07e64a2929fa821a5eff4a453ceafab