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

Clinical Scorecard: Cost-Effectiveness Analysis of a Digital Symptom Checker for Endometriosis Utilizing a Markov Decision Process Model

At a Glance

CategoryDetail
ConditionEndometriosis
Key MechanismsDigital symptom checker facilitates earlier symptom recognition and prompts timely clinical engagement, reducing diagnostic delay and associated costs
Target PopulationWomen of reproductive age at risk for or experiencing symptoms of endometriosis
Care SettingPrimary care and digital health platforms

Key Highlights

  • Digital symptom checker reduced diagnostic delay by 4.36 years compared to standard care
  • Generated 0.049 incremental quality-adjusted life years (QALYs) per person over 40 years
  • Saved $5196.22 in costs per patient and yielded an incremental net monetary benefit of $10,089 at $100,000/QALY threshold

Guideline-Based Recommendations

Diagnosis

  • Utilize digital symptom checkers to support early identification of endometriosis symptoms
  • Incorporate symptom checker outputs to guide timely clinical evaluation and diagnostic pathways

Management

  • Integrate digital symptom checkers within female health platforms to facilitate patient self-assessment
  • Encourage compliance with symptom checker recommendations to maximize diagnostic and cost-effectiveness benefits

Monitoring & Follow-up

  • Monitor patient engagement and compliance with digital symptom checker recommendations
  • Evaluate diagnostic delays and healthcare utilization patterns to assess ongoing impact

Risks

  • Consider variability in symptom checker sensitivity and specificity; optimal cost-effectiveness observed with sensitivity and specificity ≥0.7
  • Address potential disruptions to patient-physician relationship through appropriate clinical integration

Patient & Prescribing Data

Women of reproductive age using the Flo digital symptom checker embedded in a female health app

Early symptom self-assessment via digital SC leads to earlier diagnosis, improved quality-adjusted life years, and substantial cost savings over long-term horizon

Clinical Best Practices

  • Implement digital symptom checkers as adjunct tools to standard care for earlier symptom recognition in endometriosis
  • Ensure symptom checkers have validated sensitivity and specificity ≥0.7 to maintain cost-effectiveness
  • Promote patient compliance with symptom checker recommendations, aiming for compliance rates above 45%
  • Adopt a long-term perspective (≥10 years) when evaluating the benefits of digital symptom checkers
  • Use symptom checkers to reduce healthcare system burden by streamlining patient triage and diagnostic pathways

References

Original Source(s)

Related Content