Literature DB >> 21382513

Cluster randomized trials of cancer screening interventions: are appropriate statistical methods being used?

Catherine M Crespi1, Annette E Maxwell, Sheng Wu.   

Abstract

The design and analysis of cluster randomized trials can require more sophistication than individually randomized trials. However, the need for statistical methods that account for the clustered design has not always been appreciated, and past reviews have found widespread deficiencies in methodology and reporting. We reviewed cluster randomized trials of cancer screening interventions published in 1995-2010 to determine whether the use of appropriate statistical methods had increased over time. Literature searches yielded 50 articles reporting outcome analyses of cluster randomized trials of breast, cervix and colorectal cancer screening interventions. Of studies published in 1995-1999, 2000-2002, 2003-2006 and 2007-2010, 55% (6/11), 82% (9/11), 92% (12/13) and 60% (9/15) used appropriate analytic methods, respectively. Results were suggestive of a peak in 2003-2006 (p =.06) followed by a decline in 2007-2010 (p =.08). While the sample of studies was small, these results indicate that many cluster randomized trials of cancer screening interventions have had deficiencies in the application of correct statistical procedures for the outcome analysis, and that increased adoption of appropriate methods in the early and mid-2000's may not have been sustained.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21382513      PMCID: PMC3104062          DOI: 10.1016/j.cct.2011.03.001

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  76 in total

1.  The Next Step Trial: impact of a worksite colorectal cancer screening promotion program.

Authors:  B C Tilley; S W Vernon; R Myers; K Glanz; M Lu; K Hirst; A R Kristal
Journal:  Prev Med       Date:  1999-03       Impact factor: 4.018

2.  Testing a culturally appropriate, theory-based intervention to improve colorectal cancer screening among Native Hawaiians.

Authors:  Kathryn L Braun; Megan Fong; Momi E Kaanoi; Martina L Kamaka; Carolyn C Gotay
Journal:  Prev Med       Date:  2005-06       Impact factor: 4.018

3.  The immunochemical faecal occult blood test leads to higher compliance than the guaiac for colorectal cancer screening programmes: a cluster randomized controlled trial.

Authors:  Antonio Federici; Paolo Giorgi Rossi; Piero Borgia; Francesco Bartolozzi; Sara Farchi; Gabriella Gausticchi
Journal:  J Med Screen       Date:  2005       Impact factor: 2.136

4.  A randomized community trial to increase mammography utilization among low-income women living in public housing.

Authors:  J S Slater; C N Ha; M E Malone; P McGovern; S D Madigan; J R Finnegan; A L Casey-Paal; K L Margolis; N Lurie
Journal:  Prev Med       Date:  1998 Nov-Dec       Impact factor: 4.018

5.  An intervention to decrease cancer fatalism among rural elders.

Authors:  B D Powe; S Weinrich
Journal:  Oncol Nurs Forum       Date:  1999-04       Impact factor: 2.172

6.  Long-term results from a randomized controlled trial to increase cancer screening among attendees of community health centers.

Authors:  Richard G Roetzheim; Lisa K Christman; Paul B Jacobsen; Jennifer Schroeder; Rania Abdulla; Seft Hunter
Journal:  Ann Fam Med       Date:  2005 Mar-Apr       Impact factor: 5.166

7.  Evaluation of doctors' reminders in emergency departments to encourage cervical screening.

Authors:  J E Ward; E M Proude
Journal:  Aust N Z J Public Health       Date:  1999-02       Impact factor: 2.939

8.  Health care provider-directed intervention to increase colorectal cancer screening among veterans: results of a randomized controlled trial.

Authors:  M Rosario Ferreira; Nancy C Dolan; Marian L Fitzgibbon; Terry C Davis; Nicolle Gorby; Lisa Ladewski; Dachao Liu; Alfred W Rademaker; Franklin Medio; Brian P Schmitt; Charles L Bennett
Journal:  J Clin Oncol       Date:  2005-03-01       Impact factor: 44.544

9.  Using an office system intervention to increase breast cancer screening.

Authors:  L S Kinsinger; R Harris; B Qaqish; V Strecher; A Kaluzny
Journal:  J Gen Intern Med       Date:  1998-08       Impact factor: 5.128

Review 10.  The methodological quality of cluster randomised controlled trials for managing tropical parasitic disease: a review of trials published from 1998 to 2007.

Authors:  Russell J Bowater; Sally M E Abdelmalik; Richard J Lilford
Journal:  Trans R Soc Trop Med Hyg       Date:  2009-02-20       Impact factor: 2.184

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  8 in total

1.  Comparison of methods for estimating the intraclass correlation coefficient for binary responses in cancer prevention cluster randomized trials.

Authors:  Sheng Wu; Catherine M Crespi; Weng Kee Wong
Journal:  Contemp Clin Trials       Date:  2012-05-22       Impact factor: 2.226

2.  Recommendations for choosing an analysis method that controls Type I error for unbalanced cluster sample designs with Gaussian outcomes.

Authors:  Jacqueline L Johnson; Sarah M Kreidler; Diane J Catellier; David M Murray; Keith E Muller; Deborah H Glueck
Journal:  Stat Med       Date:  2015-06-18       Impact factor: 2.373

3.  Influential methods reports for group-randomized trials and related designs.

Authors:  David M Murray
Journal:  Clin Trials       Date:  2022-01-06       Impact factor: 2.599

Review 4.  Design and analysis of group-randomized trials in cancer: A review of current practices.

Authors:  David M Murray; Sherri L Pals; Stephanie M George; Andrey Kuzmichev; Gabriel Y Lai; Jocelyn A Lee; Ranell L Myles; Shakira M Nelson
Journal:  Prev Med       Date:  2018-03-16       Impact factor: 4.018

5.  Maximin optimal designs for cluster randomized trials.

Authors:  Sheng Wu; Weng Kee Wong; Catherine M Crespi
Journal:  Biometrics       Date:  2017-02-09       Impact factor: 1.701

6.  Concerning Sichieri R, Cunha DB: Obes Facts 2014;7:221–232. The Assertion that Controlling for Baseline (Pre-Randomization) Covariates in Randomized Controlled Trials Leads to Bias is False.

Authors:  Peng Li; Andrew W Brown; John A Dawson; Kathryn A Kaiser; Michelle M Bohan Brown; Scott W Keith; J Michael Oakes; David B Allison
Journal:  Obes Facts       Date:  2015       Impact factor: 3.942

7.  The mixed model for repeated measures for cluster randomized trials: a simulation study investigating bias and type I error with missing continuous data.

Authors:  Melanie L Bell; Brooke A Rabe
Journal:  Trials       Date:  2020-02-07       Impact factor: 2.279

8.  Does access to a colorectal cancer screening website and/or a nurse-managed telephone help line provided to patients by their family physician increase fecal occult blood test uptake?: results from a pragmatic cluster randomized controlled trial.

Authors:  Kathleen Clouston; Alan Katz; Patricia J Martens; Jeff Sisler; Donna Turner; Michelle Lobchuk; Susan McClement; Gary Crow
Journal:  BMC Cancer       Date:  2014-04-16       Impact factor: 4.430

  8 in total

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