Potential patient harms from misinterpretation of publically reported surgical outcomes

Niranjan J. Sathianathen, Jacob Albersheim-Carter, Lucas Labine, Brett Watson, Badrinath R. Konety, Christopher J. Weight

Research output: Contribution to journalArticle

Abstract

Objective: To determine how the general public interprets surgical complication rates presented from a publicly available online surgical-rating website. Subjects and Methods: An in-person electronic survey was administered at the local State Fair to a convenience sample. Participants were presented with a representative output from an online surgeon-rating website and were asked to choose from three statistically equivalent surgeons for a hypothetical medical decision. We then suggested that their insurance company would only cover one surgeon and probed their willingness to pay to switch surgeons for a small chance of lowering the risk of a complication (0.7%, 95% confidence interval [CI] −8.1% to 9.5%, P = 0.9). We quantified the characteristics of those willing to switch, the degree of misinterpretation, and the subsequent potential patient harms. Results: There were 343 completed responses. When presented with a hypothetical healthcare decision, most participants (n = 209, 61%) said they were willing to pay out-of-pocket expenses to switch to a statistically equivalent surgeon. Those who were willing to pay to switch surgeons were more likely to be older (odds ratio [OR] 1.02, 95% CI 1.01–1.03), poorer (OR 1.81, 95% CI 1.07–3.11), previously had cancer (OR 5.9, 95% CI 1.9–25), and misinterpreted the data (OR 3.03, 95% CI 1.87–4.96). Those who were willing to pay out-of-pocket expenses were more inaccurate in their estimation of surgeon complication rates (mean estimate 34.0% vs 8.9%, P < 0.001, correct rate = 3.6%), and on average were willing to pay $6 494 (95% CI 4 108–8 880). Conclusion: Understanding of a publicly reported surgical-complication website is often prone to misinterpretation by the general population and may lead to patient harm from a financial aspect.

Original languageEnglish (US)
Pages (from-to)180-186
Number of pages7
JournalBJU International
Volume123
Issue number1
DOIs
StatePublished - Jan 2019

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Keywords

  • data interpretation
  • health literacy
  • information literacy
  • outcomes research
  • postoperative complications

PubMed: MeSH publication types

  • Journal Article

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