Literature DB >> 34176002

Common Methodological Problems in Randomized Controlled Trials of Preventive Interventions.

Christine M Steeger1, Pamela R Buckley2, Fred C Pampel2, Charleen J Gust2, Karl G Hill2.   

Abstract

Randomized controlled trials (RCTs) are often considered the gold standard in evaluating whether intervention results are in line with causal claims of beneficial effects. However, given that poor design and incorrect analysis may lead to biased outcomes, simply employing an RCT is not enough to say an intervention "works." This paper applies a subset of the Society for Prevention Research (SPR) Standards of Evidence for Efficacy, Effectiveness, and Scale-up Research, with a focus on internal validity (making causal inferences) to determine the degree to which RCTs of preventive interventions are well-designed and analyzed, and whether authors provide a clear description of the methods used to report their study findings. We conducted a descriptive analysis of 851 RCTs published from 2010 to 2020 and reviewed by the Blueprints for Healthy Youth Development web-based registry of scientifically proven and scalable interventions. We used Blueprints' evaluation criteria that correspond to a subset of SPR's standards of evidence. Only 22% of the sample satisfied important criteria for minimizing biases that threaten internal validity. Overall, we identified an average of 1-2 methodological weaknesses per RCT. The most frequent sources of bias were problems related to baseline non-equivalence (i.e., differences between conditions at randomization) or differential attrition (i.e., differences between completers versus attritors or differences between study conditions that may compromise the randomization). Additionally, over half the sample (51%) had missing or incomplete tests to rule out these potential sources of bias. Most preventive intervention RCTs need improvement in rigor to permit causal inference claims that an intervention is effective. Researchers also must improve reporting of methods and results to fully assess methodological quality. These advancements will increase the usefulness of preventive interventions by ensuring the credibility and usability of RCT findings.

Keywords:  CONSORT; Internal validity; Preventive interventions; RCT; Randomized controlled trial; Systematic review

Year:  2021        PMID: 34176002     DOI: 10.1007/s11121-021-01263-2

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  32 in total

1.  Standards of evidence: criteria for efficacy, effectiveness and dissemination.

Authors:  Brian R Flay; Anthony Biglan; Robert F Boruch; Felipe González Castro; Denise Gottfredson; Sheppard Kellam; Eve K Mościcki; Steven Schinke; Jeffrey C Valentine; Peter Ji
Journal:  Prev Sci       Date:  2005-09

Review 2.  Missing data analysis: making it work in the real world.

Authors:  John W Graham
Journal:  Annu Rev Psychol       Date:  2009       Impact factor: 24.137

3.  Standards of Evidence for Efficacy, Effectiveness, and Scale-up Research in Prevention Science: Next Generation.

Authors:  Denise C Gottfredson; Thomas D Cook; Frances E M Gardner; Deborah Gorman-Smith; George W Howe; Irwin N Sandler; Kathryn M Zafft
Journal:  Prev Sci       Date:  2015-10

Review 4.  Empirical evaluation of which trial characteristics are associated with treatment effect estimates.

Authors:  Agnes Dechartres; Ludovic Trinquart; Timor Faber; Philippe Ravaud
Journal:  J Clin Epidemiol       Date:  2016-04-29       Impact factor: 6.437

5.  The WWC Attrition Standard: Sensitivity to Assumptions and Opportunities for Refining and Adapting to New Contexts.

Authors:  John Deke; Hanley Chiang
Journal:  Eval Rev       Date:  2016-09-26

6.  An overview of evidence-based program registers (EBPRs) for behavioral health.

Authors:  Jason T Burkhardt; Daniela C Schröter; Stephen Magura; Stephanie N Means; Chris L S Coryn
Journal:  Eval Program Plann       Date:  2015-02

7.  The Society for Prevention Research 20 Years Later: a Summary of Training Needs.

Authors:  Sarah M Chilenski; Keryn E Pasch; Ashley Knapp; Elizabeth Baker; Rhonda C Boyd; Camille Cioffi; Brittany Cooper; Abigail Fagan; Laura Hill; Leslie D Leve; Kelly Rulison
Journal:  Prev Sci       Date:  2020-10

8.  Addressing Methodologic Challenges and Minimizing Threats to Validity in Synthesizing Findings from Individual-Level Data Across Longitudinal Randomized Trials.

Authors:  Ahnalee Brincks; Samantha Montag; George W Howe; Shi Huang; Juned Siddique; Soyeon Ahn; Irwin N Sandler; Hilda Pantin; C Hendricks Brown
Journal:  Prev Sci       Date:  2018-02

9.  Integrative data analysis: the simultaneous analysis of multiple data sets.

Authors:  Patrick J Curran; Andrea M Hussong
Journal:  Psychol Methods       Date:  2009-06

10.  Making Evidence-Based Interventions Relevant for Users: A Comparison of Requirements for Dissemination Readiness Across Program Registries.

Authors:  Pamela R Buckley; Abigail A Fagan; Fred C Pampel; Karl G Hill
Journal:  Eval Rev       Date:  2020-06-26
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  5 in total

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Journal:  Glob Implement Res Appl       Date:  2022-07-05

2.  Strengthening causal inference from randomised controlled trials of complex interventions.

Authors:  Jef L Leroy; Edward A Frongillo; Bezawit E Kase; Silvia Alonso; Mario Chen; Ian Dohoo; Lieven Huybregts; Suneetha Kadiyala; Naomi M Saville
Journal:  BMJ Glob Health       Date:  2022-06

3.  Clearinghouse Standards of Evidence on the Transparency, Openness, and Reproducibility of Intervention Evaluations.

Authors:  Evan Mayo-Wilson; Sean Grant; Lauren H Supplee
Journal:  Prev Sci       Date:  2021-08-06

4.  Influence of Classroom-Level Factors on Implementation Fidelity During Scale-up of Evidence-Based Interventions.

Authors:  Katie Massey Combs; Pamela R Buckley; Marion Amanda Lain; Karen M Drewelow; Grace Urano; Suzanne E U Kerns
Journal:  Prev Sci       Date:  2022-04-29

5.  Mendelian randomization analysis reveals causal effects of food intakes on inflammatory bowel disease risk.

Authors:  Bingxia Chen; Zemin Han; Lanlan Geng
Journal:  Front Immunol       Date:  2022-09-22       Impact factor: 8.786

  5 in total

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