| Literature DB >> 29808418 |
Néboa Zozaya1, Lucía Martínez-Galdeano2, Bleric Alcalá2, Jose Carlos Armario-Hita3, Concepción Carmona4, Jose Manuel Carrascosa5, Pedro Herranz6, María Jesús Lamas7, Marta Trapero-Bertran8, Álvaro Hidalgo-Vega9,10.
Abstract
BACKGROUND ANDEntities:
Mesh:
Substances:
Year: 2018 PMID: 29808418 PMCID: PMC5990558 DOI: 10.1007/s40259-018-0284-3
Source DB: PubMed Journal: BioDrugs ISSN: 1173-8804 Impact factor: 5.807
Fig. 1Study design
Fig. 2Mean weights for decision criteria by the advisory committee. A 5-point weighting scale was used, with 1 for the lowest weight and 5 for the highest weight
Fig. 3Mean scores for decision criteria for the appraisal of dupilumab (vs. placebo) by the advisory committee. Criteria 1–3, 7–8 and 12–13 were evaluated in absolute terms (with a score between 0 and 5), while the rest were evaluated in terms relative to placebo (with a score between – 5 and 5)
Fig. 4Mean scores for decision criteria for the appraisal of secukinumab (vs. placebo, etanercept and ustekinumab) by the advisory committee. Criteria 1–3, 7–8 and 12–13 (blue markers) were evaluated in absolute terms (with a score between 0 and 5) and were applied equally to the three comparisons made, while criteria 4–6 and 9–11 (orange markers) were evaluated in relative terms to the different comparators (with a score between − 5 and 5). ETN etanercept, PBO placebo, UTK ustekinumab
Fig. 5Mean value contributions of each quantitative criterion and overall value estimates for dupilumab and secukinumab. Average of the committee of experts and for each group (clinicians, decision makers and patients). ETN etanercept, PBO placebo, UTK ustekinumab
Estimated value for dupilumab and secukinumab in the test and the retest
| Intervention | Comparator | Expert committee subgroup | Test | Retest | Difference (%) | ICC (3,1) individual | ICC (3,1) average |
|---|---|---|---|---|---|---|---|
| Dupilumab | Placebo | Total ( | 0.514 | 0.547 | 6.4 | 0.614 | 0.761 |
| Clinicians ( | 0.459 | 0.419 | − 8.8 | − 0.101 | − 0.226 | ||
| Decision makers/HE ( | 0.382 | 0.486 | 27.2 | 0.015 | 0.030 | ||
| Patients ( | 0.655 | 0.690 | 5.3 | − 0.420 | − 1.450 | ||
| Secukinumab | Placebo | Total ( | 0.480 | 0.495 | 3.0 | 0.915 | 0.956 |
| Clinicians ( | 0.374 | 0.364 | − 2.7 | 0.613 | 0.760 | ||
| Decision makers/HE ( | 0.368 | 0.362 | − 1.6 | − 0.065 | − 0.140 | ||
| Patients ( | 0.645 | 0.694 | 7.5 | 0.953 | 0.976 | ||
| ETN | Total ( | 0.450 | 0.443 | − 1.5 | 0.963 | 0.981 | |
| Clinicians ( | 0.369 | 0.352 | − 4.6 | 0.964 | 0.982 | ||
| Decision makers/HE ( | 0.314 | 0.290 | − 7.8 | 0.982 | 0.991 | ||
| Patients ( | 0.613 | 0.628 | 2.4 | 0.837 | 0.911 | ||
| UTK | Total ( | 0.394 | 0.395 | 0.2 | 0.928 | 0.963 | |
| Clinicians ( | 0.310 | 0.287 | − 7.4 | 0.273 | 0.429 | ||
| Decision-makers/HE ( | 0.240 | 0.251 | 4.7 | − 0.032 | − 0.066 | ||
| Patients ( | 0.573 | 0.584 | 1.9 | 0.815 | 0.898 |
ETN etanercept, HE health economist, ICC intra-rater correlation coefficients, UTK ustekinumab
| Multi-criteria decision analysis (MCDA) can improve the healthcare decision-making process by considering an explicit set of criteria and their relative importance under a fully transparent process. |
| This study approximated the overall estimated value of two innovative drugs for chronic inflammatory skin diseases (atopic dermatitis and psoriasis) from a broad and systematic view, while incorporating local multi-disciplinary views to express a societal perspective. |
| This exercise allows us to better understand where the value of dupilumab and secukinimab lies for the different stakeholders, providing useful information that could help to make better decisions on the assessment, pricing and public reimbursement of these interventions. |