| Literature DB >> 35492806 |
Antonio Naranjo1, Daniel Prieto-Alhambra2, Julián Sánchez-Martín3, Alejandro Pérez-Mitru3, Max Brosa3.
Abstract
Purpose: To assess the cost-effectiveness of a Fracture Liaison Service (FLS) compared with standard care for the secondary prevention of fragility fractures in Spain.Entities:
Keywords: Spain; economic evaluation; fracture liaison service; osteoporotic fracture prevention
Year: 2022 PMID: 35492806 PMCID: PMC9041144 DOI: 10.2147/CEOR.S350790
Source DB: PubMed Journal: Clinicoecon Outcomes Res ISSN: 1178-6981
Figure 1Model structure. (A) decision tree. (B) Markov model.
Clinical Parameters Considered in the Base Case
| Parameter | Value | Source |
|---|---|---|
| Proportion of patients initiating osteoporosis treatment after fragility fracture; SOC group | 13.7% | Naranjo et al 2014 |
| Proportion of patients initiating osteoporosis treatment after fragility fracture; FLS group | 55.1% | Estimated from Rubiño et al 2021 and Naranjo et al 2014 |
| Relative increase in persistence attributed to FLS (4 years) | 3.33 | Ojeda-Bruno et al 2011 |
| 10-year risk of subsequent fractures in osteoporotic patients without treatment | 27.9% | García Renedo et al 2009 |
| 10-year risk of subsequent fractures in osteoporotic patients with treatment | 11.1% | |
| Increased SMR due to hip fracture | 6.28 | Solomon et al 2014 |
| Increase in SMR due to vertebral fracture | 2.01 | Estimated from Cooper et al 2012 |
| Increased SMR due to forearm fracture | 2.01 | |
| Increase in SMR due to humerus fracture | 2.01 |
Abbreviations: FLS, Fracture Liaison Service; SMR, standardized mortality rate; SOC, standard of care.
Utilities and Disutilities Considered in the Base Case
| Age Range | Value | Source |
|---|---|---|
| 60–64 years | 0.865 | Estimated from the Spanish National Health Survey 2014 |
| 65–69 years | 0.846 | |
| 70–74 years | 0.793 | |
| 75–79 years | 0.770 | |
| 80–84 years | 0.663 | |
| ≥85 years | 0.511 | |
| 60–64 years | 0.922 | Estimated from the Spanish National Health Survey 2014 |
| 65–69 years | 0.923 | |
| 70–74 years | 0.897 | |
| 75–79 years | 0.846 | |
| 80–84 years | 0.777 | |
| ≥85 years | 0.673 | |
| Treatment with bisphosphonates | − 0.006 | Estimated from Solomon et al 2014 |
| Hip fracture | − 0.170 | Solomon et al 2014 |
| Vertebral fracture | − 0.230 | |
| Forearm fracture | − 0.060 | |
| Humerus fracture | − 0.090 | Estimated from Hiligsmann et al 2008 |
Economic Parameters Considered in the Base Case
| Parameter | Cost (€, 2020) |
|---|---|
| Pharmacological cost per cycle; SOC group | 200.90 |
| Pharmacological cost per cycle; FLS group | 203.23 |
| FLS cost per patient (initial evaluation) | 362.36 |
| FLS cost per patient (subsequent follow-up) | 157.17 |
| Hip fracture | 9201.84 |
| Vertebral fracture | 2063.86 |
| Forearm fracture | 803.36 |
| Humerus fracture | 844.06 |
| End-of-life costs (last month) | 2965.33 |
Abbreviations: FLS, Fracture Liaison Service; SOC, standard of care.
Description of Scenario Analyses Evaluated
| Scenario | Justification of the Analysis |
|---|---|
| Time horizon: 2 years | Aligned with Spanish methodological recommendations and previous economic assessments |
| Time horizon: 5 years | |
| Time horizon: 7 years | |
| Cost of hospitalizations: 100% hospital admission for fragility fracture | Requested by the panel of experts |
| Definition of persistence: 30 days without dispensing osteoporosis treatment | Aligned with Martin-Merino et al 2017 |
| Definition of persistence: 180 days without dispensing osteoporosis treatment | Aligned with Martin-Merino et al 2017 |
| Assume equivalent increase in FLS persistence >4 years | Consider that FLS continues to affect persistence from 4 years after its implementation |
| Considering alternative data for 10-year risk of subsequent fractures | Requested by the panel of experts in order to reflect the 10-year probability of fracture based on FRAX tool |
| 50% increase in osteoporosis pharmacological cost due to FLS activity | To assess potential heterogeneities in terms of pharmacological costs derived from the prescription profile of osteoporosis medication. Aligned with previous economic assessments |
| 50% reduction in osteoporosis pharmacological cost due to FLS activity | |
| More conservative FLS (−20% initiation of osteoporosis treatment and persistence) | To assess the degree of efficiency of the application of FLS with lower screening capacity and clinical coordination |
| More conservative FLS with lower resource capability (−20% initiation of osteoporosis treatment, persistence, and associated costs) | To assess the degree of efficiency of the application of FLS with lower screening capacity, clinical coordination, and subsequent monitoring of patients |
| Considering the hospital perspective (only hospital costs, healthcare resources and benefits are considered) | Requested by the panel of experts |
| Considering recent long-term persistence data from the HUGCDN | Requested by the panel of experts to assess potential alternative results in case of including 5-years persistence data for FLS group recently published |
Abbreviations: FLS, Fracture Liaison Service; FRAX, Fracture Risk Assessment Tool; HUGCDN, University Hospital of Gran Canaria Doctor Negrín.
Results of the Base Case
| Parameter | SOC | FLS | Differential (FLS vs SOC) |
|---|---|---|---|
| Associated with FLS | € - | € 283.56 | € 283.56 |
| In osteoporosis treatment | € 58.86 | € 904.22 | € 845.36 |
| Subsequent hip fracture | € 2275.18 | € 1875.05 | € −400.13 |
| Subsequent vertebral fracture | € 510.30 | € 420.55 | € −89.74 |
| Subsequent forearm fracture | € 198.63 | € 163.70 | € −34.93 |
| Subsequent humerus fracture | € 208.70 | € 171.99 | € −36.70 |
| Death | € 247.21 | € 243.49 | € −3.72 |
| Total | € 3498.88 | € 4062.57 | € 563.69 |
| LYG | 8.167 | 8.175 | 0.008 |
| Treated with anti-osteoporotic medication | 0.146 | 2.225 | 2.078 |
| Without anti-osteoporotic medication | 7.526 | 5.543 | −1.983 |
| Subsequent fractures | 0.371 | 0.306 | −0.065 |
| QALY | 6.271 | 6.354 | 0.082 |
| ICER (€/LYG) | - | - | 68,474.10 |
| ICUR (€/QALY) | - | - | 6855.23 |
Abbreviations: FLS, Fracture Liaison Service; ICER, incremental cost-effectiveness ratio; ICUR, incremental cost-utility ratio; LYG, life years gained; QALY, quality-adjusted life years; SOC, standard of care.
Results of the Scenario Analysis
| Scenario | Differential QALYs | Differential Cost (€) | ICUR (€/QALY) |
|---|---|---|---|
| Base case | 0.082 | 563.69 | 6855.23 |
| Time horizon: 2 years | 0.031 | 442.46 | 14,457.18 |
| Time horizon: 5 years | 0.075 | 546.92 | 7273.49 |
| Time horizon: 7 years | 0.078 | 554.36 | 7091.74 |
| Cost hospitalizations: 100% hospital admission for fragility fracture | 0.082 | 207.45 | 2522.90 |
| Definition persistence: 30 days without dispensing osteoporosis treatment | 0.054 | 436.57 | 8149.57 |
| Definition persistence: 180 days without dispensing osteoporosis treatment | 0.083 | 569.20 | 6822.87 |
| Assume equivalent increment in FLS persistence >4 years | 0.093 | 615.71 | 6595.68 |
| Considering alternative data for 10-year risk of subsequent fractures | 0.085 | 550.61 | 6512.17 |
| 50% increase in osteoporosis pharmacological cost due to FLS activity | 0.082 | 1015.80 | 12,353.47 |
| 50% reduction in osteoporosis pharmacological cost due to FLS activity | 0.082 | 111.58 | 1356.99 |
| More conservative FLS (−20% initiation of osteoporosis treatment and persistence) | 0.062 | 285.51 | 4618.87 |
| More conservative FLS with lower resource capability (−20% initiation of osteoporosis treatment, persistence, and associated costs) | 0.062 | 393.65 | 6368.22 |
| Considering the hospital perspective (only hospital costs, healthcare resources and benefits are considered) | 0.082 | −281.48 | −3423.13 (dominant) |
| Considering recent long-term persistence data from the HUGCDN | 0.035 | 356.32 | 10,107.91 |
Abbreviations: FLS, Fracture Liaison Service; HUGCDN, University Hospital of Gran Canaria Doctor Negrín; ICUR, incremental cost-utility ratio; QALY, quality-adjusted life years.
Figure 2Tornado diagram.
Figure 3Incremental cost-effectiveness plane resulting from probabilistic sensitivity analysis.