Evidence map›Paper›PMID 29417922›Full record

SynthesisInfection control and hospital epidemiology2018

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

Rotana Alsaggaf, Lyndsay M O'Hara, Kristen A Stafford, Surbhi Leekha, Anthony D Harris, CDC Prevention Epicenters Program

Abstract readSystematic Review
In one paragraph

Synthesis in Infection control and hospital epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Effectiveness of Bio-K+ for the prevention ofInfection control and hospital epidemiology · 2024
    Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rotana AlsaggafDepartment of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland.
Lyndsay M O'HaraDepartment of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland.
Kristen A StaffordDepartment of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland.
Surbhi LeekhaDepartment of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland.
Anthony D HarrisDepartment of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland.
CDC Prevention Epicenters Program

Funding

K24 Clinical Research in Antimicrobial Resistance and Hospital EpidemiologyK24AI079040 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRIS, ANTHONY D · 2009 to 2018
$1.8M
ACL HHS U54CK000450NCEZID CDC HHS U54 CK000450NIAID NIH HHS K24 AI079040
6 · The paper itself

Abstract

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. Infect Control Hosp Epidemiol 2018;39:170-176.

Indexed as

Drug Resistance, MicrobialInfection ControlNon-Randomized Controlled Trials as TopicRegression AnalysisResearch DesignStatistics as Topic

Identifiers

PMID29417922
PMCPMC6849395

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.