Literature DB >> 28750849

Heterogeneity in application, design, and analysis characteristics was found for controlled before-after and interrupted time series studies included in Cochrane reviews.

Stephanie Polus1, Dawid Pieper2, Jacob Burns3, Atle Fretheim4, Craig Ramsay5, Julian P T Higgins6, Tim Mathes2, Lisa M Pfadenhauer3, Eva A Rehfuess3.   

Abstract

OBJECTIVES: The aim of the study was to examine the application, design, and analysis characteristics of controlled before-after (CBA) and interrupted time series (ITS) studies and their use in Cochrane reviews. STUDY DESIGN AND
SETTING: We searched the Cochrane library for reviews including these study designs from May 2012 to March 2015 and purposively selected, where available, two reviews each across 10 prespecified intervention types. We randomly selected two CBA and two ITS studies from each review. Two researchers independently extracted information from the studies and the respective reviews.
RESULTS: Sixty-nine reviews considered CBA and ITS studies for inclusion. We analyzed 21 CBA and 16 ITS studies from 11 to 8 reviews, respectively. Cochrane reviews inconsistently defined and labeled CBA and ITS studies. Many studies did not meet the Cochrane definition or the minimum criteria provided by Cochrane Effective Practice and Organisation of Care. The studies present a heterogeneous set of study features and applied a large variety of analyses.
CONCLUSION: While CBA and ITS studies represent important study designs to evaluate the effects of interventions, especially on a population or organizational level, unclear study design features challenge unequivocal classification and appropriate use. We discuss options for more specific definitions and explicit criteria for CBA and ITS studies.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Controlled before-after studies; Interrupted time series analysis; Methods; Nonrandomised study designs; Public health; Review

Mesh:

Year:  2017        PMID: 28750849     DOI: 10.1016/j.jclinepi.2017.07.008

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  8 in total

1.  Interrupted Time Series Analysis of Pediatric Infectious Diseases and the Consumption of Antibiotics in an Atlantic European Region during the SARS-CoV-2 Pandemic.

Authors:  Ana Clavería; María Victoria Delgado-Martín; Ana Goicoechea-Castaño; José Manuel Iglesias-Moreno; Clara García-Cendón; María Victoria Martín-Miguel; Rita Villarino-Moure; Carolina Barreiro-Arceiz; Isabel Rey-Gómez-Serranillos; Javier Roca
Journal:  Antibiotics (Basel)       Date:  2022-02-18

2.  Study filters for non-randomized studies of interventions consistently lacked sensitivity upon external validation.

Authors:  Elke Hausner; Maria-Inti Metzendorf; Bernd Richter; Fabian Lotz; Siw Waffenschmidt
Journal:  BMC Med Res Methodol       Date:  2018-12-18       Impact factor: 4.615

3.  Low dose naltrexone: Effects on medication in rheumatoid and seropositive arthritis. A nationwide register-based controlled quasi-experimental before-after study.

Authors:  Guttorm Raknes; Lars Småbrekke
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

4.  A systematic review of interventions to improve uptake of pertussis vaccination in pregnancy.

Authors:  Hassen Mohammed; Mark McMillan; Claire T Roberts; Helen S Marshall
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

5.  Methodology and reporting characteristics of studies using interrupted time series design in healthcare.

Authors:  Jemma Hudson; Shona Fielding; Craig R Ramsay
Journal:  BMC Med Res Methodol       Date:  2019-07-04       Impact factor: 4.615

6.  Methods used to meta-analyse results from interrupted time series studies: A methodological systematic review protocol.

Authors:  Elizabeth Korevaar; Amalia Karahalios; Andrew B Forbes; Simon L Turner; Steve McDonald; Monica Taljaard; Jeremy M Grimshaw; Allen C Cheng; Lisa Bero; Joanne E McKenzie
Journal:  F1000Res       Date:  2020-02-12

7.  Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review.

Authors:  Celestin Hategeka; Hinda Ruton; Mohammad Karamouzian; Larry D Lynd; Michael R Law
Journal:  BMJ Glob Health       Date:  2020-10

Review 8.  Current Practices in Missing Data Handling for Interrupted Time Series Studies Performed on Individual-Level Data: A Scoping Review in Health Research.

Authors:  Juan Carlos Bazo-Alvarez; Tim P Morris; James R Carpenter; Irene Petersen
Journal:  Clin Epidemiol       Date:  2021-07-23       Impact factor: 4.790

  8 in total

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