BMC Health Services Research (Sep 2021)

Predictive factors of diagnostic and therapeutic divergence in a nationwide cohort of patients seeking second medical opinion

  • Stéphane Sanchez,
  • Isabelle Adamowicz,
  • Jan Chrusciel,
  • Philippe Denormandie,
  • Pierre Denys,
  • Laurent Degos

DOI
https://doi.org/10.1186/s12913-021-06936-w
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 9

Abstract

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Abstract Objectives The aim of this study was to describe the profile of patients who sought a second medical opinion (SMO) on their therapeutic or diagnostic strategy using nationwide data from a French physician network dedicated to SMOs. Methods An observational cohort study was conducted and the study population consisted of patients residing in France or in the French overseas territories who submitted a request for an SMO through a dedicated platform between January 2016 and October 2020. Patient characteristics were compared between convergent and divergent SMOs. The divergent rate for all patients excluding those with mental diseases were described. Logistic regression was used to estimate the probability of a divergent SMO according to patient characteristics. Results and discussion In total, 1,552 adult patients over several French regions were included. The divergence rate was 32.3 % (n = 502 patients). Gynecological [Odds Ratio (OR) and 95 % CI: 5.176 (3.154 to 8.494)], urological [OR 4.246 (2.053 to 8.782)] and respiratory diseases [OR 3.639 (1.357 to 9.758)] had the highest probability of a divergent SMO. Complex cases were also associated with a significantly higher risk of a divergent opinion [OR 2.78 (2.16 to 3.59)]. Age, sex, region and profession were not found to be predictive of a divergent second opinion. Conclusions Policymakers should encourage new research on patient outcomes such as mortality and hospitalization rates after a SMO. When proven effective, SMO networks will have the potential to benefit from specific public funding or even play a key role in national healthcare quality improvement programs.