Dataset Information

Cost-effectiveness analysis of fracture liaison services: a Markov model using Dutch real-world data.

ABSTRACT: This study assessed the lifetime cost-effectiveness of a fracture liaison service (FLS) compared to no-FLS in the Netherlands from a societal perspective and suggested that FLS was cost-effective in patients with a recent fracture aged 50 years and older. The implementation of FLS could lead to lifetime health-economic benefits.

Introduction

The objective of this study was to investigate the lifetime cost-effectiveness of a fracture liaison service (FLS) compared to no-FLS in the Netherlands from a societal perspective and using real-world data.

Methods

Annual fracture incidence, treatment scenarios as well as treatment initiation in the years 2017-2019 were collected from a large secondary care hospital in the Netherlands. An individual-level, state transition model was designed to simulate lifetime costs and quality-adjusted life years (QALYs). Treatment pathways were differentiated by gender, presence of osteoporosis and/or prevalent vertebral fracture, and treatment status. Results were presented as incremental cost-effectiveness ratios (ICER). Both one-way and probabilistic sensitivity analyses were conducted.

Results

For patients with a recent fracture aged 50 years and older, the presence of an FLS was associated with a lifetime €45 higher cost and 0.11 additional QALY gained leading to an ICER of €409 per QALY gained, indicating FLS was cost-effective compared to no-FLS at the Dutch threshold of €20,000/QALY. The FLS remained cost-effectiveness across different age categories. Our findings were robust in all one-way sensitivity analyses, the higher the treatment initiation rate in FLS, the greater the cost-effective of FLS. Probabilistic sensitivity analyses revealed that FLS was cost-effective in 90% of the simulations at the threshold of €20,000/QALY, with women 92% versus men 84% by gender.

Conclusion

This study provides the first health-economic analysis of FLS in the Netherlands, suggesting the implementation of FLS could lead to lifetime health-economic benefits.

SUBMITTER: Li N

PROVIDER: S-EPMC10837229 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

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Publications

Cost-effectiveness analysis of fracture liaison services: a Markov model using Dutch real-world data.

Li N N van den Bergh J P JP Boonen A A Wyers C E CE Bours S P G SPG Hiligsmann M M

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 20231003 2

This study assessed the lifetime cost-effectiveness of a fracture liaison service (FLS) compared to no-FLS in the Netherlands from a societal perspective and suggested that FLS was cost-effective in patients with a recent fracture aged 50 years and older. The implementation of FLS could lead to lifetime health-economic benefits.<h4>Introduction</h4>The objective of this study was to investigate the lifetime cost-effectiveness of a fracture liaison service (FLS) compared to no-FLS in the Netherla ...[more]

PMID: 37783759

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Project description:PurposeFracture Liaison Services programs reduce mortality and the risk of refracture and increase treatment and adherence rates. Greater coverage is an important priority for the future. The aim was to determine the characteristics of patients over 50 years old who suffered fractures and the effectiveness of a Fracture Liaison Services program in a health care institution in Colombia.MethodsThis was a retrospective follow-up study of a cohort of patients with vertebral and nonvertebral fractures managed in a Fracture Liaison Services program. Sociodemographic, clinical and pharmacological variables were identified. Key performance indicators were used to evaluate the effectiveness of the program. Descriptive and bivariate analysis was performed.ResultsA total of 438 patients were analyzed. The average age was 77.5 years, and 78.5% were women. Hip and vertebral fractures were the most common (25.3% and 24.9%, respectively). Vertebral fractures prevailed in men (33.0% vs 22.7%; p = 0.041) and those of the radius/ulna in women (20.3% vs 10.6%; p = 0.031). A total of 29.7% had experienced a previous fracture, and 16.7% had received antiosteoporosis drugs. A total of 63.5% of the cases were managed surgically. At discharge, 58.8% received prescriptions for calcium/vitamin D, and 50.7% with prescriptions of antiosteoporotic therapy, especially teriparatide (21.2%) and denosumab (16.4%), without significant differences by sex. However, in women with hip fractures, anti-osteoporotic management prevailed (83.7% vs 64.0; p = 0.032). The effectiveness of the overall program per year was 74.6%. On follow-up, only 9.1% of patients had experienced a new fall, and of those 3.7% presented a new fracture. A total of 4.3% died during follow-up.ConclusionsGood adherence to the recommendations of the country's clinical practice guidelines was found, and overall, the effectiveness of the program was very satisfactory, with a low incidence of new fractures during follow-up. Fracture Liaison Services programs reduce mortality and the risk of refracture. A retrospective follow-up study of a cohort of patients with vertebral and nonvertebral fractures managed in a Fracture Liaison Services, showed that the effectiveness was 73.6%. On follow-up, 9.1% of patients had experienced a new fall, and of those 3.7% presented a new fracture.

Project description:BackgroundHip fractures are a common and costly health problem, resulting in significant morbidity and mortality, as well as high costs for healthcare systems, especially for the elderly. Implementing surgical preventive strategies has the potential to improve the quality of life and reduce the burden on healthcare resources, particularly in the long term. However, there are currently limited guidelines for standardizing hip fracture prophylaxis practices.MethodsThis study used a cost-effectiveness analysis with a finite-state Markov model and cohort simulation to evaluate the primary and secondary surgical prevention of hip fractures in the elderly. Patients aged 60 to 90 years were simulated in two different models (A and B) to assess prevention at different levels. Model A assumed prophylaxis was performed during the fracture operation on the contralateral side, while Model B included individuals with high fracture risk factors. Costs were obtained from the Centers for Medicare & Medicaid Services, and transition probabilities and health state utilities were derived from available literature. The baseline assumption was a 10% reduction in fracture risk after prophylaxis. A sensitivity analysis was also conducted to assess the reliability and variability of the results.ResultsWith a 10% fracture risk reduction, model A costs between $8,850 and $46,940 per quality-adjusted life-year ($/QALY). Additionally, it proved most cost-effective in the age range between 61 and 81 years. The sensitivity analysis established that a reduction of ≥ 2.8% is needed for prophylaxis to be definitely cost-effective. The cost-effectiveness at the secondary prevention level was most sensitive to the cost of the contralateral side's prophylaxis, the patient's age, and fracture treatment cost. For high-risk patients with no fracture history, the cost-effectiveness of a preventive strategy depends on their risk profile. In the baseline analysis, the incremental cost-effectiveness ratio at the primary prevention level varied between $11,000/QALY and $74,000/QALY, which is below the defined willingness to pay threshold.ConclusionDue to the high cost of hip fracture treatment and its increased morbidity, surgical prophylaxis strategies have demonstrated that they can significantly relieve the healthcare system. Various key assumptions facilitated the modeling, allowing for adequate room for uncertainty. Further research is needed to evaluate health-state-associated risks.

Project description:Background: Big data and real-world data (RWD) have been increasingly used to measure the effectiveness and costs in cost-effectiveness analysis (CEA). However, the characteristics and methodologies of CEA based on big data and RWD remain unknown. The objectives of this study were to review the characteristics and methodologies of the CEA studies based on big data and RWD and to compare the characteristics and methodologies between the CEA studies with or without decision-analytic models. Methods: The literature search was conducted in Medline (Pubmed), Embase, Web of Science, and Cochrane Library (as of June 2020). Full CEA studies with an incremental analysis that used big data and RWD for both effectiveness and costs written in English were included. There were no restrictions regarding publication date. Results: 70 studies on CEA using RWD (37 with decision-analytic models and 33 without) were included. The majority of the studies were published between 2011 and 2020, and the number of CEA based on RWD has been increasing over the years. Few CEA studies used big data. Pharmacological interventions were the most frequently studied intervention, and they were more frequently evaluated by the studies without decision-analytic models, while those with the model focused on treatment regimen. Compared to CEA studies using decision-analytic models, both effectiveness and costs of those using the model were more likely to be obtained from literature review. All the studies using decision-analytic models included sensitivity analyses, while four studies no using the model neither used sensitivity analysis nor controlled for confounders. Conclusion: The review shows that RWD has been increasingly applied in conducting the cost-effectiveness analysis. However, few CEA studies are based on big data. In future CEA studies using big data and RWD, it is encouraged to control confounders and to discount in long-term research when decision-analytic models are not used.

Project description:Studies examining real-world effectiveness of osteoporosis therapies are beset by limitations due to confounding by indication. By evaluating longitudinal changes in fracture incidence, we demonstrated that osteoporosis therapies are effective in reducing fracture risk in real-world practice settings.IntroductionOsteoporosis therapies have been shown to reduce incidence of vertebral and non-vertebral fractures in placebo-controlled randomized clinical trials. However, information on the real-world effectiveness of these therapies is limited.MethodsWe examined fracture risk reduction in older, post-menopausal women treated with osteoporosis therapies. Using Medicare claims, we identified 1,278,296 women age ≥ 65 years treated with zoledronic acid, oral bisphosphonates, denosumab, teriparatide, or raloxifene. Fracture incidence rates before and after treatment initiation were described to understand patients' fracture risk profile, and fracture reduction effectiveness of each therapy was evaluated as a longitudinal change in incidence rates.ResultsFracture incidence rates increased during the period leading up to treatment initiation and were highest in the 3-month period most proximal to treatment initiation. Fracture incidence rates following treatment initiation were significantly lower than before treatment initiation. Compared with the 12-month pre-index period, there were reductions in clinical vertebral fractures for denosumab (45%; 95% confidence interval [CI] 39-51%), zoledronic acid (50%; 95% CI 47-52%), oral bisphosphonates (24%; 95% CI 22-26%), and teriparatide (72%; 95% CI 69-75%) during the subsequent 12 months. Relative to the first 3 months after initiation, clinical vertebral fractures were reduced for denosumab (51%; 95% CI 42-59%), zoledronic acid (25%; 95% CI 17-32%), oral bisphosphonates (23%; 95% CI 20-26%), and teriparatide (64%; 95% CI 58-69%) during the subsequent 12 months.ConclusionIn summary, reductions in fracture incidence over time were observed in cohorts of patients treated with osteoporosis therapies.

Dataset Information

Cost-effectiveness analysis of fracture liaison services: a Markov model using Dutch real-world data.

Introduction

Methods

Results

Conclusion

Publications

Cost-effectiveness analysis of fracture liaison services: a Markov model using Dutch real-world data.

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