Analysis of start-up, retention, and adherence in ALS clinical trials

Neurology. 2013 Oct 8;81(15):1350-5. doi: 10.1212/WNL.0b013e3182a823e0. Epub 2013 Sep 4.

Abstract

Objective: To investigate predictors of trial start-up times, high attrition, and poor protocol adherence in amyotrophic lateral sclerosis (ALS) trials.

Methods: Retrospective analysis of start-up times, retention, and protocol adherence was performed on 5 clinical studies conducted by the Northeast ALS Consortium and 50 ALS clinical trials identified by PubMed search. Predictors of start-up times were estimated by accelerated failure time models with random effects. Predictors of retention and protocol deviations were estimated by mixed-model logistic regression.

Results: Median times for contract execution and institutional review board (IRB) approval were 105 days and 125 days, respectively. Contract execution was faster at sites with more ongoing trials (p = 0.005), and more full-time (p = 0.006) and experienced (p < 0.001) coordinators. IRB approval was faster at sites with more ongoing trials (p = 0.010) and larger ALS clinics (p = 0.038). Site activation after IRB approval was faster at sites with more full-time (p = 0.038) and experienced (p < 0.001) coordinators. Twenty-two percent of surviving participants withdrew before completing the trial. Better participant functional score at baseline was an independent predictor of trial completion (odds ratio 1.29, p = 0.002) and fewer protocol deviations (odds ratio 0.86, p = 0.030).

Conclusion: Delays in IRB review contribute the most to prolonged trial start-up times, and these timelines are faster in sites with more experienced staff. Strategies to improve protocol adherence and participants' retention may include enrolling people at early disease stages.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Amyotrophic Lateral Sclerosis / psychology*
  • Amyotrophic Lateral Sclerosis / therapy*
  • Clinical Trials as Topic*
  • Humans
  • Logistic Models
  • Multicenter Studies as Topic
  • Patient Compliance* / psychology
  • Patient Selection
  • Predictive Value of Tests
  • PubMed / statistics & numerical data
  • Research Design
  • Retrospective Studies