Literature DB >> 27179253

Statistical lessons learned for designing cluster randomized pragmatic clinical trials from the NIH Health Care Systems Collaboratory Biostatistics and Design Core.

Andrea J Cook1, Elizabeth Delong2, David M Murray3, William M Vollmer4, Patrick J Heagerty5.   

Abstract

BACKGROUND/AIMS: Pragmatic clinical trials embedded within health care systems provide an important opportunity to evaluate new interventions and treatments. Networks have recently been developed to support practical and efficient studies. Pragmatic trials will lead to improvements in how we deliver health care and promise to more rapidly translate research findings into practice.
METHODS: The National Institutes of Health (NIH) Health Care Systems Collaboratory was formed to conduct pragmatic clinical trials and to cultivate collaboration across research areas and disciplines to develop best practices for future studies. Through a two-stage grant process including a pilot phase (UH2) and a main trial phase (UH3), investigators across the Collaboratory had the opportunity to work together to improve all aspects of these trials before they were launched and to address new issues that arose during implementation. Seven Cores were created to address the various considerations, including Electronic Health Records; Phenotypes, Data Standards, and Data Quality; Biostatistics and Design Core; Patient-Reported Outcomes; Health Care Systems Interactions; Regulatory/Ethics; and Stakeholder Engagement. The goal of this article is to summarize the Biostatistics and Design Core's lessons learned during the initial pilot phase with seven pragmatic clinical trials conducted between 2012 and 2014.
RESULTS: Methodological issues arose from the five cluster-randomized trials, also called group-randomized trials, including consideration of crossover and stepped wedge designs. We outlined general themes and challenges and proposed solutions from the pilot phase including topics such as study design, unit of randomization, sample size, and statistical analysis. Our findings are applicable to other pragmatic clinical trials conducted within health care systems.
CONCLUSION: Pragmatic clinical trials using the UH2/UH3 funding mechanism provide an opportunity to ensure that all relevant design issues have been fully considered in order to reliably and efficiently evaluate new interventions and treatments. The integrity and generalizability of trial results can only be ensured if rigorous designs and appropriate analysis choices are an essential part of their research protocols.
© The Author(s) 2016.

Entities:  

Keywords:  NIH Collaboratory; Pragmatic clinical trials; cluster-randomized; electronic health record; group randomized

Mesh:

Year:  2016        PMID: 27179253      PMCID: PMC5025337          DOI: 10.1177/1740774516646578

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  31 in total

1.  A covariance estimator for GEE with improved small-sample properties.

Authors:  L A Mancl; T A DeRouen
Journal:  Biometrics       Date:  2001-03       Impact factor: 2.571

Review 2.  Studies with staggered starts: multiple baseline designs and group-randomized trials.

Authors:  Dale A Rhoda; David M Murray; Rebecca R Andridge; Michael L Pennell; Erinn M Hade
Journal:  Am J Public Health       Date:  2011-09-22       Impact factor: 9.308

3.  Sample size requirements for stratified cluster randomization designs.

Authors:  A Donner
Journal:  Stat Med       Date:  1992-04       Impact factor: 2.373

4.  Informative cluster sizes for subcluster-level covariates and weighted generalized estimating equations.

Authors:  Ying Huang; Brian Leroux
Journal:  Biometrics       Date:  2011-01-31       Impact factor: 2.571

5.  A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers.

Authors:  Kevin E Thorpe; Merrick Zwarenstein; Andrew D Oxman; Shaun Treweek; Curt D Furberg; Douglas G Altman; Sean Tunis; Eduardo Bergel; Ian Harvey; David J Magid; Kalipso Chalkidou
Journal:  J Clin Epidemiol       Date:  2009-05       Impact factor: 6.437

6.  Longitudinal data analysis for discrete and continuous outcomes.

Authors:  S L Zeger; K Y Liang
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

7.  Randomization by group: a formal analysis.

Authors:  J Cornfield
Journal:  Am J Epidemiol       Date:  1978-08       Impact factor: 4.897

8.  Strategies and Opportunities to STOP Colon Cancer in Priority Populations: design of a cluster-randomized pragmatic trial.

Authors:  Gloria D Coronado; William M Vollmer; Amanda Petrik; Stephen H Taplin; Timothy E Burdick; Richard T Meenan; Beverly B Green
Journal:  Contemp Clin Trials       Date:  2014-06-14       Impact factor: 2.226

9.  How to increase value and reduce waste when research priorities are set.

Authors:  Iain Chalmers; Michael B Bracken; Ben Djulbegovic; Silvio Garattini; Jonathan Grant; A Metin Gülmezoglu; David W Howells; John P A Ioannidis; Sandy Oliver
Journal:  Lancet       Date:  2014-01-08       Impact factor: 79.321

Review 10.  Review of methods for handling confounding by cluster and informative cluster size in clustered data.

Authors:  Shaun Seaman; Menelaos Pavlou; Andrew Copas
Journal:  Stat Med       Date:  2014-08-04       Impact factor: 2.373

View more
  18 in total

1.  Value-Based Care for Musculoskeletal Pain: Are Physical Therapists Ready to Deliver?

Authors:  Trevor A Lentz; Adam P Goode; Charles A Thigpen; Steven Z George
Journal:  Phys Ther       Date:  2020-04-17

2.  Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials.

Authors:  Siyun Yang; Fan Li; Monique A Starks; Adrian F Hernandez; Robert J Mentz; Kingshuk R Choudhury
Journal:  Stat Med       Date:  2020-08-21       Impact factor: 2.373

3.  NIH-DoD-VA Pain Management Collaboratory.

Authors:  Robert D Kerns; Cynthia A Brandt; Peter Peduzzi
Journal:  Pain Med       Date:  2019-12-01       Impact factor: 3.750

4.  Statistical Considerations for Embedded Pragmatic Clinical Trials in People Living with Dementia.

Authors:  Heather G Allore; Keith S Goldfeld; Roee Gutman; Fan Li; Joan K Monin; Monica Taljaard; Thomas G Travison
Journal:  J Am Geriatr Soc       Date:  2020-07       Impact factor: 5.562

5.  Parameterizing Toxic Stress in Early Childhood: Maternal Depression, Maltreatment, and HPA-Axis Variation in a Pilot Intervention Study.

Authors:  Rachael E Wagner; Melissa Jonson-Reid; Brett Drake; Patricia L Kohl; Laura Pons; Yi Zhang; Robert T Fitzgerald; Mark L Laudenslager; John N Constantino
Journal:  Prev Sci       Date:  2022-05-23

6.  Two weights make a wrong: Cluster randomized trials with variable cluster sizes and heterogeneous treatment effects.

Authors:  Xueqi Wang; Elizabeth L Turner; Fan Li; Rui Wang; Jonathan Moyer; Andrea J Cook; David M Murray; Patrick J Heagerty
Journal:  Contemp Clin Trials       Date:  2022-02-02       Impact factor: 2.226

Review 7.  Stepped Wedge Cluster Randomized Trials: A Methodological Overview.

Authors:  Fan Li; Rui Wang
Journal:  World Neurosurg       Date:  2022-05       Impact factor: 2.210

8.  Randomized Trials in Primary Care: Becoming Pragmatic.

Authors:  Miguel Marino; John Heintzman
Journal:  Ann Fam Med       Date:  2022 May-Jun       Impact factor: 5.707

Review 9.  The need for increased pragmatism in cardiovascular clinical trials.

Authors:  Muhammad Shariq Usman; Harriette G C Van Spall; Stephen J Greene; Ambarish Pandey; Darren K McGuire; Ziad A Ali; Robert J Mentz; Gregg C Fonarow; John A Spertus; Stefan D Anker; Javed Butler; Stefan K James; Muhammad Shahzeb Khan
Journal:  Nat Rev Cardiol       Date:  2022-05-17       Impact factor: 49.421

10.  Research and Scholarly Methods: Pragmatic Clinical Trials.

Authors:  Onyeche Oche; Chaorong Wu; Logan T Murry; Korey A Kennelty
Journal:  J Am Coll Clin Pharm       Date:  2021-11-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.