4.4 Article

Cost-effectiveness of a Digital Health Intervention for Acute Myocardial Infarction Recovery

期刊

MEDICAL CARE
卷 59, 期 11, 页码 1023-1030

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MLR.0000000000001636

关键词

cost-effectiveness; cost-utility analysis; medical economics; myocardial infarction; readmission; mobile health; digital health

资金

  1. Maryland Innovation Initiative
  2. Wallace H. Coulter Translational Research Partnership
  3. Louis B. Thalheimer Fund
  4. Ciccarone Center
  5. Pollin Digital Innovation Fund
  6. Johns Hopkins Individualized Health Initiative
  7. NIH/NHLBI Post-Doctoral Fellowship in Cardiovascular Epidemiology Institutional Training [T32 HL007024]
  8. NIH/NINR Ruth L. Kirschstein National Research Service Award [F31 NR017328]
  9. NIH/NINR Pre-Doctoral Fellowship in Interdisciplinary Cardiovascular Health Research [T32 NR012704]
  10. Aetna Foundation
  11. Johns Hopkins School of Medicine Medical Scientist Training Program (National Institutes of Health: Institutional Predoctoral Training T32 Grant) [5T32GM007309]
  12. National Institutes of Health [5 F30 HL142131]
  13. American Heart Association [20SFRN35380046, COVID19-811000]
  14. PCORI [ME-2019C1-15328]
  15. NIH [P01 HL108800, KL2 TR001854]
  16. David and June Trone Family Foundation
  17. PJ Schafer Cardiovascular Research Fund
  18. Sandra and Larry Small
  19. CASCADE FH
  20. Apple
  21. Google
  22. Amgen

向作者/读者索取更多资源

The digital health intervention (DHI) is cost-saving by reducing the risk of all-cause readmissions among AMI patients, promoting adherence to guideline-based healthcare, and reducing hospital readmissions and associated costs.
Background: Acute myocardial infarction (AMI) is a common cause of hospital admissions, readmissions, and mortality worldwide. Digital health interventions (DHIs) that promote self-management, adherence to guideline-directed therapy, and cardiovascular risk reduction may improve health outcomes in this population. The Corrie DHI consists of a smartphone application, smartwatch, and wireless blood pressure monitor to support medication tracking, education, vital signs monitoring, and care coordination. We aimed to assess the cost-effectiveness of this DHI plus standard of care in reducing 30-day readmissions among AMI patients in comparison to standard of care alone. Methods: A Markov model was used to explore cost-effectiveness from the hospital perspective. The time horizon of the analysis was 1 year, with 30-day cycles, using inflation-adjusted cost data with no discount rate. Currencies were quantified in US dollars, and effectiveness was measured in quality-adjusted life-years (QALYs). The results were interpreted as an incremental cost-effectiveness ratio at a threshold of $100,000 per QALY. Univariate sensitivity and multivariate probabilistic sensitivity analyses tested model uncertainty. Results: The DHI reduced costs and increased QALYs on average, dominating standard of care in 99.7% of simulations in the probabilistic analysis. Based on the assumption that the DHI costs $2750 per patient, use of the DHI leads to a cost-savings of $7274 per patient compared with standard of care alone. Conclusions: Our results demonstrate that this DHI is cost-saving through the reduction of risk for all-cause readmission following AMI. DHIs that promote improved adherence with guideline-based health care can reduce hospital readmissions and associated costs.

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