Assessing the impact of the requirement for explicit consent in a hospital-based stroke study

C Jackson1, L Crossland, M Dennis

  • 1Division of Clinical Neurosciences, University of Edinburgh, Bramwell Dott Building, Western General Hospital, Edinburgh, EH4 2XU, UK.

Insights

Explicit consent requirements for clinical research reduce participation and introduce bias. An opt-out system for minimally invasive studies can minimize bias and costs, improving the quality of epidemiological research.

Area of Science:

  • Clinical Epidemiology
  • Medical Research Ethics

Background:

  • Increasing regulations, including explicit consent, may negatively impact clinical epidemiological research quantity and quality.
  • The study addresses potential biases introduced by explicit consent requirements in medical research.

Purpose of the Study:

  • To evaluate the biases associated with explicit consent in a hospital-based stroke research register.
  • To compare participation and characteristics between consented and non-consented stroke patients.

Main Methods:

  • Compared patients in a stroke research register (requiring explicit consent) with those in a concurrent clinical stroke audit (no explicit consent).
  • Analyzed numbers of consenters, refusers, and those not approached due to logistical reasons.
  • Compared baseline characteristics of participants versus non-participants.

Main Results:

  • Out of 1228 stroke audit patients, 1075 (88%) were in the research register, with higher outpatient participation.
  • Only 1% of eligible patients refused involvement; most non-participation was due to inability to seek consent.
  • Significant baseline characteristic differences between participants and non-participants were observed, potentially affecting outcomes.

Conclusions:

  • Explicit consent reduced participation and introduced bias in the stroke research register.
  • An opt-out system for minimally intrusive epidemiological studies could minimize bias and reduce costs.
  • Revising consent procedures is crucial for enhancing the quality and efficiency of clinical research.
Abstract

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