Characteristics of oncology podcasts: Attitudes, speakers, conflicts

J Cancer Policy. 2022 Jun:32:100329. doi: 10.1016/j.jcpo.2022.100329. Epub 2022 Mar 12.

Abstract

Objective: To systematically appraise the content within oncology podcasts and the individuals who speak on them.

Design: A cross-sectional study.

Setting: We obtained a list of 33 current podcasts with substantial oncologic content through queries of predetermined search terms on the Apple Podcast Platform.

Participants: 98 oncology-related podcast episodes.

Main outcomes: The perceived attitude of the episode with predetermined categories including "Neutral," "Favorable," or "Negative," the number of conflicts of interest verbally disclosed by individuals featured on oncology podcasts, and the prevalence of general payments among featured physicians.

Results: Among 33 oncology podcasts, the median number of episodes was 81 (IQR: 25-129). Ninety-seven percent (n = 32/33) of the podcasts included guests. The median episode run time was 26:50 min (IQR: 18:00 - 41:75). Among the 98 episodes assessed, 47% of episodes (n = 46/98) mentioned oncologic drugs, of which 57% (n = 26) had a neutral disposition, 37% (n = 17) had a favorable disposition and 7% (n = 3) were negative. Across 98 episodes, we identified 194 featured individuals, of which 65% (n = 126) had a medical degree (MD), and 85% (n = 107/126) of these physicians received at least one general payment. Further, 83% (n = 105/126) of physicians did not disclose payments.

Conclusions and policy summary: Within oncology-related podcasts, the majority of conversations about oncologic drugs are perceived as either favorable or neutral, and a majority of individuals featured on podcasts do not disclose conflicts of interest, highlighting potential opportunities for improvement, including the need for standardization of financial conflict of interest disclosure.

Keywords: Conflict of interest; Disclosure; Humans; Medical oncology; Quality indicators, Health care; United States; Webcasts as Topic* /statistics & numerical data.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attitude
  • Cross-Sectional Studies
  • Disclosure*
  • Humans
  • Medical Oncology
  • Physicians*