4.6 Article

Specific instructions for estimating unclearly reported blinding status in randomized trials were reliable and valid

Journal

JOURNAL OF CLINICAL EPIDEMIOLOGY
Volume 65, Issue 3, Pages 262-267

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2011.04.015

Keywords

Methods; Research design; Bias; Randomized controlled trial; Systematic review; Clinical practice guideline

Funding

  1. Pfizer, Inc.
  2. Swiss National Science Foundation [PASMA-112951/1]
  3. Roche Research Foundation
  4. Ontario Ministry of Health and Long-Term Care
  5. National Natural Science Foundation of China [70703025]
  6. SickKids Foundation
  7. Canadian Institutes of Health Research
  8. Canadian Chiropractic Research Foundation

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Objective: To test the reliability and validity of specific instructions to classify blinding, when unclearly reported in randomized trials, as probably done or probably not done. Study Design and Setting: We assessed blinding of patients, health care providers, data collectors, outcome adjudicators, and data analysts in 233 randomized trials in duplicate and independently using detailed instructions. The response options were definitely yes, probably yes, probably no, and definitely no. We contacted authors for data verification (46% response). For each of the five questions, we assessed reliability by calculating the agreement between the two reviewers and validity by calculating the agreement between reviewers' consensus and verified data. Results: The percentage with unclear blinding status varied between 48.5% (patients) and 84.1% (data analysts). Reliability was moderate for blinding of outcome adjudicators (kappa = 0.52) and data analysts (kappa = 0.42) and substantial for blinding of patients (kappa = 0.71), providers (kappa = 0.68), and data collectors (kappa = 0.65). The raw agreement between the consensus record and the author-verified record varied from 84.1% (blinding of data analysts) to 100% (blinding of health care providers). Conclusion: With the possible exception of blinding of data analysts, use of probably yes and probably no instead of unclear may enhance the assessment of blinding in trials. (C) 2012 Elsevier Inc. All rights reserved.

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