Probabilistic cost-effectiveness analysis of controlled ovarian stimulation with recombinant FSH plus recombinant LH vs. human menopausal gonadotropin for women undergoing IVF.

BACKGROUND: The association of recombinant FSH plus recombinant LH in 2:1 ratio may be used not only to induce ovulation in anovulatory women with hypogonadotropic hypogonadism but also to achieve multiple follicular developments in human IVF. The aim of this analysis was to estimate the cost-effectiveness of Controlled Ovarian Stimulation (COS) with recombinant FSH (rFSH) plus recombinant LH (rLH) in comparison with highly purified human menopausal gonadotropin (HP-hMG) in the woman undergoing in vitro fertilization (IVF) in Italy. METHODS: A probabilistic decision tree was developed to simulate patients undergoing IVF, either using r-FSH + r-LH or HP-hMG to obtain COS. The model considers the National Health System (NHS) perspective and a time horizon equal to two years. Simulations were reported considering the number of retrieved oocytes (5-9, 10-15 and > 15) and transition probabilities were estimated through specific analyses carried out on the population of 848 women enrolled in the real-life. RESULTS: The model estimated that patients undertaking therapeutic protocol with r-FSH + r-LH increase the general success rate (+ 6.6% for pregnancy). The incremental cost-effectiveness ratio (ICER) per quality-adjusted life year (QALY) of r-FSH + r-LH was below the willingness to pay set at €20,000 for all the considered scenarios. CONCLUSIONS: The cost-utility analysis demonstrated that the r-FSH + r-LH is a cost-effective option for the Italian National Health System (NHS).

Improving adherence to and persistence with oral therapy of osteoporosis.

UNLABELLED: Osteoporosis treatment has low adherence and persistence. This study evaluated if greater patient involvement could improve them. At 12 months, only 114 out of 344 participants were "fully adherent and persistent" (all drug doses taken throughout the study). Only frequency of drug administration had a significant influence on adherence. INTRODUCTION: Osteoporosis affects millions of individuals worldwide. There are now several effective drugs, but adherence to and persistence with treatment are low. This 12-month multicenter, prospective, randomized study evaluated the efficacy of two different methods aimed at improving adherence and persistence through greater patient involvement, compared with standard clinical practice. METHODS: Three hundred thirty-four post-menopausal women, receiving an oral prescription for osteoporosis for the first time, were recruited and randomized into three groups: group 1 (controls, managed according to standard clinical practice) and groups 2 and 3 (managed with greater patient and caregiver involvement and special reinforcements: group 2, instructed to use several different "reminders"; group 3, same "reminders" as group 2, plus regular phone calls from and meetings at the referring Center). All enrolled women had two visits (baseline and 12 months). RESULTS: Of 334 enrolled women, 247 (74%) started the prescribed therapy. Of those who started, 219 (88.7%) persisted in therapy for at least 10 months. At final evaluation, only 114 women were considered as "fully adherent and persistent" (all doses taken throughout the 12 months). There were no significant differences regarding "full adherence" among the three randomized groups. The frequency of drug administration had a significant influence: weekly administration had a >5-fold higher adherence and monthly administration an 8-fold higher adherence (p < 0.0001) than daily administration. CONCLUSIONS: The special effort of devising and providing additional reminders did not prove effective. Additional interventions during the follow-up, including costly interventions such as phone calls and educational meetings, did not provide significant advantages.

Subclinical hypercortisolism: correlation between biochemical diagnostic criteria and clinical aspects.

OBJECTIVE: Subclinical hypercortisolism (SH) has been associated with increased prevalence of hypertension, type 2 diabetes mellitus, dyslipidaemia, central obesity, osteoporosis and vertebral fractures. We aimed to investigate the accuracy of different SH diagnostic criteria in predicting the presence of complications. DESIGN: This was a retrospective study. PATIENTS: We evaluated data from 231 patients (120 women and 111 men) affected with adrenal incidentalomas (AI). MEASUREMENTS: We studied the accuracy of different SH diagnostic criteria (cortisol after 1 mg overnight dexamethasone suppression test - 1mg-DST - at different cut-off such as 49.7, 82.8, 137.9 nmol/l, elevated urinary free cortisol, reduced adrenal corticotroph hormone (ACTH) levels alone or various combination of these parameters) in predicting the concomitant presence of the following three complications: hypertension, type 2 diabetes and vertebral fractures. RESULTS: The criterion characterized by the presence of two of 1mg-DST >82.8 nmol/l, elevated UFC and reduced ACTH struck the best balance between sensitivity and specificity, reaching a good accuracy in predicting the cluster of complications (61.9%; 77.1% and 75.8%, respectively). The presence of this cluster was associated with this criterion (OR 4.75, 95%CI 1.8-12.7, P = 0.002) regardless of gonadal status, body mass index (BMI) and age. CONCLUSIONS: The SH criterion characterized by the presence of two of 1mg-DST >82.8 nmol/l, elevated UFC and reduced ACTH seems the best in predicting the presence of chronic manifestations of subtle cortisol excess.

Economic evaluation of the treatment of Acute Bacterial Skin and Skin Structure Infections (ABSSSIs) from the national payer perspective: introduction of a new treatment to the patient journey. A simulation of three European countries.

Background: The aim of this study was to develop a spending predictor model to evaluate the direct costs associated with the management of ABSSSIs from the National health-care provider's perspective of Italy, Romania, and Spain. Methodology: A decision-analytic model was developed to evaluate the diagnostic and clinical pathways of hospitalized ABSSSI patients based on scientific guidelines and real-world data. A Standard of Care (SoC) scenario was compared with a dalbavancin scenario in which the patients could be discharged early. The epidemiological and cost parameters were extrapolated from national administrative databases (i.e., hospital information system). A probabilistic sensitivity analysis (PSA) and one-way sensitivity analysis (OWA) were performed. Results: Overall, the model estimated an average annual number of patients with ABSSSIs of approximately 50,000 in Italy, Spain, and Romania. On average, the introduction of dalbavancin reduced the length of stay by 3.3 days per ABSSSI patient. From an economic perspective, dalbavancin did not incur any additional cost from the National Healthcare perspective, and the results were consistent among the countries. The PSA and OWA demonstrated the robustness of these results. Conclusion: This model represents a useful tool for policymakers by providing information regarding the economic and organizational consequences of an early discharge approach in ABSSSI management.

The direct and indirect cost of diabetes in Italy: a prevalence probabilistic approach.

INTRODUCTION: Diabetes mellitus is a chronic degenerative disease associated with a high risk of chronic complications and comorbidities. However, very few data are available on the associated cost. The objective of this study is to identify the available information on the epidemiology of the disease and estimate the average annual cost incurred by the National Health Service and Society for the Treatment of Diabetes in Italy. METHODS: A probabilistic prevalence cost of illness model was developed to calculate an aggregate measure of the economic burden associated with the disease, in terms of direct medical costs (drugs, hospitalizations, monitoring and adverse events) and indirect costs (absenteeism and early retirement). A systematic review of the literature was conducted to determine both the epidemiological and economic data. Furthermore, a one-way and probabilistic sensitivity analysis with 5,000 Monte Carlo simulations was performed to test the robustness of the results and define a 95% CI. RESULTS: The model estimated a prevalence of 2.6 million patients under drug therapies in Italy. The total economic burden of diabetic patients in Italy amounted to €20.3 billion/year (95% CI €18.61 to €22.29 billion), 54% of which are associated with indirect costs (95% CI €10.10 to €11.62 billion) and 46% with direct costs only (95% CI €8.11 to €11.06 billion). CONCLUSIONS: This is the first study conducted in Italy aimed at estimating the direct and indirect cost of diabetes with a probabilistic prevalence approach. As might be expected, the lack of information means that the real burden of diabetes is partly underestimated, especially with regard to indirect costs. However, this is a useful approach for policy makers to understand the economic implications of diabetes treatment in Italy.

Economic aspects in the management of diabetes in Italy.

BACKGROUND: Diabetes mellitus (DM) is a chronic-degenerative disease associated with a high risk of chronic complications and comorbidities. The aim of this study is to estimate the average annual cost incurred by the Italian National Health Service (NHS) for the treatment of DM stratified by patients' comorbidities. Moreover, the model estimates the economic impact of implementing good clinical practice for the management of patients with DM. METHODS: Data were extrapolated from administrative database of the Marche Region and specific inclusion and exclusion criteria were developed from a clinical board in order to estimate patients with DM only, DM+1, DM+2, DM+3 and DM+4 comorbidities (cardiovascular disease, neuropathy, nephropathy and retinopathy). Regional data were considered a good proxy for implementing a previously developed cost-of-illness (COI) model from Italian NHS perspective already published. A scenario analysis was considered to estimate the economic impact of good clinical practice implementation in the treatment of DM and its comorbidities in Italy. RESULTS: The model estimated an average number of patients with DM per year in the Marche region of 85.909 (5.5% of population) from 2008 to 2011. The mean costs per patients with DM only, DM+1, DM+2, DM+3 and DM+4 comorbidities were €341, €1,335, €2,287, €5,231 and €7,085 respectively. From the Italian NHS perspective, the total economic burden of DM in Italy amounted to €8.1. billion/year (22% for drugs, 74% for hospitalization and 4% for visits). Scenario analysis demonstrates that the implementation of good clinical practice could save over €700 million per year. CONCLUSIONS: This model is the first study that considers real world data and COI model to estimate the economic burden of DM and its comorbidities from the Italian NHS perspective. Integrated management of the patients with DM could be a good driver for the reduction of the costs of this disease in Italy.

The economic burden of HCV-induced diseases in Italy. A probabilistic cost of illness model.

OBJECTIVE: The hepatitis C virus (HCV) induces several pathological conditions worldwide, with a substantial medical and economic burden. The objective of this study was to estimate the average annual cost incurred by the National Health Service (NHS), as well as society, due to HCV in Italy. METHODS: A probabilistic incidence-based cost of illness model was developed to estimate an aggregate measure of the economic burden associated with HCV-induced diseases either in terms of direct or indirect costs. Indirect costs were calculated on the basis of lost productivity according to the human capital approach. A systematic literature review was carried out to identify epidemiological and economic data which were used to inform the model. Furthermore, a one-way probabilistic sensitivity analysis with 5,000 Monte Carlo simulations was performed, in order to test the robustness of the results and define the proper 95% Confidence Interval (CE). RESULTS: Overall, the total economic burden associated with HCV-induced diseases was estimated in €1.06 billion (95%CI: €0.61-€1.63). A percentage of 60.6%  was associated with indirect costs (95% CI: €0.37-€0.99 billion) and 39.4% with direct costs (95% CI: €0.23-€0.65 billion). In chronic hepatitis C, cirrhosis, hepatocellular carcinoma (HCC), liver transplantation and HCV-induced deaths, an average annual economic burden amounting to €0.26 (95%CI: €0.14-€0.41), €0.56 (95%CI: €0.30-€0.89), €0.051 (95%CI: €0.0007-€0.25), €0.05 (95%CI: €0.03-€0.08) and €0.15 (95%CI: €0.07-€0.27) billion respectively, was estimated. CONCLUSIONS: Italy is one of the European countries with the highest number of people affected by chronic HCV infection, the leading cause of cirrhosis, HCC and liver-related death. HCV-induced diseases generate high costs to Italian NHS. These highly debilitating and life-threatening complications generate a rather large amount of indirect costs for the Italian society as well.