Non-participation bias in health services research using data from an integrated electronic prescribing project: the role of informed consent

  • Gillian Bartlett
  • Robyn M. Tamblyn
  • Yuko Kawasumi
  • Lise Poissant
  • Laurel Taylor

Abstract

Electronic prescribing potentially reduces adverse outcomes and provides critical information for drug safety research but studies may be distorted by non-participation bias. 52,507 patients and 28 physicians were evaluated to determine characteristics associated with consent status in an electronic prescribing project. Physicians with less technology proficiency, seeing more patients, and having patients with higher fragmentation of care were less likely to obtain consent. Older patients with complex health status, higher income, and more visits to the study physician were more likely to consent. These systematic differences could result in significant non-participation bias for research conducted only with consenting patients.

Author Biographies

Gillian Bartlett

Dept. of Family Medicine, McGill University.

Robyn M. Tamblyn

Dept. of Medicine, Dept. of Epidemiology and Biostatistics, McGill University.

Yuko Kawasumi
Dept. of Epidemiology and Biostatistics, McGill University.
Lise Poissant
École de réadaptation, Université de Montréal.
Laurel Taylor
Dept. of Medicine, McGill University.
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How to Cite
Bartlett, G., Tamblyn, R., Kawasumi, Y., Poissant, L., & Taylor, L. (2005). Non-participation bias in health services research using data from an integrated electronic prescribing project: the role of informed consent. Acta Bioethica, 11(2). Retrieved from https://actabioethica.uchile.cl/index.php/AB/article/view/16727/17421
Published
2005-01-01