Written informed consent and selection bias in observational studies using medical records: systematic review

BMJ. 2009 Mar 12:338:b866. doi: 10.1136/bmj.b866.

Abstract

Objectives: To determine whether informed consent introduces selection bias in prospective observational studies using data from medical records, and consent rates for such studies.

Design: Systematic review.

Data sources: Embase, Medline, and the Cochrane Library up to March 2008, reference lists from pertinent articles, and searches of electronic citations.

Study selection: Prospective observational studies reporting characteristics of participants and non-participants approached for informed consent to use their medical records. Studies were selected independently in duplicate; a third reviewer resolved disagreements.

Data extraction: Age, sex, race, education, income, or health status of participants and non-participants, the participation rate in each study, and susceptibility of these calculations to threats of selection and reporting bias.

Results: Of 1650 citations 17 unique studies met inclusion criteria and had analysable data. Across all outcomes there were differences between participants and non-participants; however, there was a lack of consistency in the direction and the magnitude of effect. Of 161 604 eligible patients, 66.9% consented to use of data from their medical records.

Conclusions: Significant differences between participants and non-participants may threaten the validity of results from observational studies that require consent for use of data from medical records. To ensure that legislation on privacy does not unduly bias observational studies using medical records, thoughtful decision making by research ethics boards on the need for mandatory consent is necessary.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Humans
  • Informed Consent / statistics & numerical data*
  • Medical Records / statistics & numerical data*
  • Research Design
  • Selection Bias*