Influence of data disclosures on physician decisions about off-label uses: findings from a qualitative study

Author:

Chansky Melanie C.,Price Simani M.,Aikin Kathryn J.,O’Donoghue Amie C.

Abstract

Abstract Background Prescribing approved products for unapproved uses (off-label use) is not uncommon among physicians in certain medical specialties. Available evidence about an off-label use – both supportive and unsupportive – can influence prescribers’ decisions about a drug’s appropriateness for a particular case. The objectives of this study were: (1) to examine physician perceptions about off-label uses generally, including their awareness of unsupportive data; and (2) to explore the influence of disclosure information about unsupportive data on off-label prescribing decisions. Methods Semi-structured interviews were conducted between December 2019 and January 2020 with oncologists (n = 35) and primary care physicians (n = 35). Interviews explored general prescribing practices, understanding of and information sources for learning about off-label use of prescription drugs, awareness of unsupportive data related to off-label uses, and preferences and reactions to disclosure statements about the existence of unsupportive data related to an off-label use. Results Most participants reported prescribing drugs for off-label uses (with half reporting regular off-label prescribing). However, among those who prescribe off-label, approximately two-thirds had never seen unsupportive data about off-label uses. Physicians preferred a disclosure statement that provided a summary of the unsupportive data about the off-label use; this statement also led most physicians to say they were unlikely or less likely to prescribe the drug for that use. Conclusions This study suggests that physicians’ decision-making about prescribing for off-label uses of approved drugs may be influenced by awareness of unsupportive data. Our interviews also suggest that providing more information about unsupportive study findings may result in a reduction in reported prescribing likelihood.

Publisher

Springer Science and Business Media LLC

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