Table 3.
Subgroup analysis results.
| Subgroup | Incremental cost ($) | Incremental QALYs | Incremental cost-effectiveness ratio (ICER) |
|---|---|---|---|
| Age group: <65 years | $1200 | 0.08 | $15,000 per QALY gained |
| Age group: ≥65 years | $1800 | 0.12 | $15,000 per QALY gained |
| Disease severity: Mild | $800 | 0.10 | $8000 per QALY gained |
| Disease severity: Severe | $2400 | 0.09 | $26,667 per QALY gained |
Explanation:
In this hypothetical example, subgroup analyses have been performed based on age groups and disease severity:
Age groups: The analysis shows that for patients aged < 65 years and ≥ 65, both ACE inhibitors and ARBs have similar incremental cost-effectiveness ratios (ICERs), suggesting that age does not significantly impact the cost-effectiveness of these treatments.
Disease severity: However, when considering disease severity, the ICERs differ significantly between patients with mild and severe heart failure. ACE inhibitors are more cost-effective for patients with mild heart failure with a lower ICER. In contrast, for patients with severe heart failure, ARBs have a higher ICER, indicating reduced cost-effectiveness in this subgroup.
Interpretation:
These subgroup analyses suggest that variations in baseline characteristics, such as age and disease severity, can influence the cost-effectiveness of ACE inhibitors and ARBs differently. It highlights the importance of considering patient heterogeneity when making treatment decisions.
Decision-makers need to consider these differences in cost-effectiveness when tailoring treatment recommendations for specific patient groups. Subgroup analyses provide valuable insights into which subpopulations may benefit most from each intervention and can inform personalized treatment strategies.
QALY = quality-adjusted life year.