Economic evaluation of a digital symptom checker for endometriosis using a Markov decision process model - Summary - MDSpire

Economic evaluation of a digital symptom checker for endometriosis using a Markov decision process model

  • By

  • Xu, Yihan

  • Prentice, Carley

  • Torres-Rueda, Sergio

  • Meczner, András

  • Multmeier, Jan

  • Wickham, Aidan

  • Kelly, Laura

  • Klepchukova, Anna

  • Stsefanovich, Heorhi

  • Zhaunova, Liudmila

  • March 2, 2026

  • 0 min

Share

Objective:

To evaluate the cost-effectiveness of the digital symptom checker 'Flo SC' for endometriosis compared to standard care.

Key Findings:
  • Flo SC reduced diagnostic delay by 4.36 years, significantly impacting patient outcomes.
  • Generated an incremental QALY gain of 0.049 per person, indicating improved quality of life.
  • Saved $5196.22 in costs per patient, highlighting economic benefits.
  • Produced an incremental net monetary benefit (INMB) of $10,089.00 at a $100,000/QALY threshold, suggesting strong cost-effectiveness.
  • Probabilistic sensitivity analysis confirmed robustness with an INMB of $12,398.92 (95% CI: $11,893.11–$12,904.72), reinforcing the reliability of the findings.
Interpretation:

The digital symptom checker for endometriosis is likely to be a cost-effective strategy, providing both health benefits and cost savings compared to standard care, which could lead to improved healthcare system efficiency.

Limitations:
  • The model's assumptions may not fully capture real-world complexities, particularly regarding patient behavior.
  • Findings are based on a specific digital SC and may not generalize to other tools or populations.
Conclusion:

This study provides the first economic evaluation of a digital SC for endometriosis, highlighting its potential value in improving early diagnosis and reducing healthcare costs, which is crucial for addressing the high burden of this condition.

Original Source(s)

Related Content