Literature DB >> 29727514

Potential patient harms from misinterpretation of publically reported surgical outcomes.

Niranjan J Sathianathen1, Jacob Albersheim-Carter1, Lucas Labine1, Brett Watson1, Badrinath R Konety1, Christopher J Weight1.   

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.
© 2018 The Authors BJU International © 2018 BJU International Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  data interpretation; health literacy; information literacy; outcomes research; postoperative complications

Mesh:

Year:  2018        PMID: 29727514     DOI: 10.1111/bju.14367

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  1 in total

1.  Open health data: Mapping the ecosystem.

Authors:  Roel Heijlen; Joep Crompvoets
Journal:  Digit Health       Date:  2021-11-10
  1 in total

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