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Psychometric benefits of adding bolt-ons to the EQ-5D-5L in populations undergoing minimally invasive cosmetic procedures.

The European journal of health economics : HEPAC : health economics in prevention and care2025-03-13PubMed
Total: 70.5Innovation: 8Impact: 8Rigor: 6Citation: 7

Summary

In a cross-sectional survey of 364 women planning or having undergone minimally invasive cosmetic procedures, adding bolt-ons (particularly self-confidence and tiredness) to EQ-5D-5L reduced ceiling effects and improved construct validity and explanatory power. These bolt-ons enhanced discrimination across known groups and are recommended for clinical studies and health economic evaluations of MICPs.

Key Findings

  • Adding tiredness, self-confidence, or sleep bolt-ons reduced EQ-5D-5L ceiling from 47% to 22–27%.
  • Self-confidence and social relationships bolt-ons correlated moderately/strongly with RSES and BFNE-S (r = -0.462 to -0.679).
  • Tiredness and self-confidence bolt-ons increased EQ VAS explained variance from 37% to 45% and improved known-groups discrimination (relative efficiency 2.72–2.82).

Clinical Implications

Use EQ-5D-5L with self-confidence and tiredness bolt-ons when assessing MICPs to reduce ceiling effects and improve sensitivity; include these dimensions in sensitivity analyses for cost-effectiveness studies.

Why It Matters

Provides a fit-for-purpose enhancement to a widely used generic health measure in aesthetic medicine, enabling better outcome capture and more credible economic evaluations.

Limitations

  • Cross-sectional design without longitudinal responsiveness or test–retest reliability.
  • Female-only sample may limit generalizability to male patients.

Future Directions

Validate bolt-ons longitudinally (responsiveness, MID) and develop value sets to integrate bolt-ons into utility scoring for economic models.

Study Information

Study Type
Cross-sectional study
Research Domain
Diagnosis
Evidence Level
IV - Observational cross-sectional psychometric assessment without longitudinal follow-up.
Study Design
OTHER