Abstract
Aim: To assess the long-term cost-effectiveness of an atrial fibrillation disease management program (i.e. the SAFETY program) from the Australian healthcare system perspective. Methods: A multistate Markov model was developed based on patient-level data from the SAFETY randomized controlled trial. Predicted long-term survival, dependent on hospital admission history, was estimated by extrapolating parametric survival models. Quality-adjusted life years (QALY) and life years (LY) were the primary and secondary outcome measures used to estimate the incremental cost-utility/effectiveness ratio (ICUR/ICER). Both deterministic and probabilistic sensitivity analyses (PSA) were undertaken. Results: The SAFETY program was associated with both higher costs ($94,953 vs. $78,433) and benefits [QALY (3.99 vs 3.60); LY (5.86 vs 5.24)], with an ICUR of $42,513/QALY or ICER of $26,356/LY, compared to standard care. Due to the extended survival, the SAFETY was associated with a greater number of hospitalizations (14.85 vs 11.65) and higher costs for medications ($25,084 vs $22,402) and outpatient care ($12,904 vs $11,524). The cost per hospitalization for an average length of stay, analytical time horizon, and cost of medication are key determinants of ICUR. The PSA showed that the intervention has a 70.4% probability of being cost-effective at a threshold of $50,000/QALY. Conclusions: The SAFETY program has a high probability of being cost-effective for patients with atrial fibrillation. It is associated with uncertainty that further research could potentially eliminate; implementation with further evidence collection is recommended.
| Original language | English |
|---|---|
| Pages (from-to) | 87-95 |
| Number of pages | 9 |
| Journal | Journal of Medical Economics |
| Volume | 24 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Atrial fibrillation
- cost-effectiveness analysis
- Markov model
- nurse-coordinated multidisciplinary program
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