| Literature DB >> 26259842 |
Umberto Restelli1,2, Francesca Scolari3, Paolo Bonfanti4, Davide Croce5,6, Giuliano Rizzardini7,8.
Abstract
BACKGROUND: In the healthcare sector, it is crucial to identify sustainable strategies in order to allow the introduction and use of innovative technologies. Now, and over the next few years, the expiry of patents for different antiretroviral drugs offers an opportunity to increase the efficiency of resources allocation. The aim of the present study was to assess the impact, on the budget of the Italian National Healthcare Service, of generic antiretroviral drugs and of new antiretroviral drugs entering the market from 2015 to 2019.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26259842 PMCID: PMC4531431 DOI: 10.1186/s12879-015-1077-7
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
The model’s base case hypotheses – effects of generic and new drugs
| Drug | Semester in which it enters in the model | Effects [sensitivity analysis rates] |
|---|---|---|
| Generic ABC | First semester 2015 | 100 % of patients receiving branded ABC switch to generic ABC in the semester in which the new drug enter the model [85 %; 100 %] |
| 10 % of patients receiving ABC/3TC switch to generic 3TC + generic ABC in the semester in which the new drug enter the model [5 %; 25 %] | ||
| Generic LPV | First semester 2016 | 100 % of patients receiving branded LPV switch to generic LPV in the semester in which the new drug enter the model [85 %; 100 %] |
| Generic NVP 400 | Second semester 2016 | 100 % of patients receiving branded NVP switch to generic NVP in the semester in which the new drug enter the model [85 %; 100 %] |
| Generic TDF/FTC/EFV | Second semester 2018 | 60 % of patients receiving branded TDF/FTC/EFV switch to generic TDF/FTC/EFV [50 %; 100 %] |
| 35 % of patients receiving branded TDF/FTC/EFV should switch to generic TDF/FTC/EFV, however clinicians prefer a switch to TAF/FTC/RPV following indications of clinical pathway [25 %; 0 %] | ||
| 5 % of patients receiving branded TDF/FTC/EFV should switch to generic TDF/FTC/EFV, however clinicians prefer a switch to TAF/FTC/EVG/COBI following indications of clinical pathway [0 %; 0 %] | ||
| Generic DRV | Second semester 2018 | 50 % of patients receiving branded DRV + TDF/FTC switch to generic DRV + TAF/FTC [40 %; 100 %] |
| 15 % of patients receiving branded DRV + TDF/FTC should switch to generic DRV + TAF/FTC, however clinicians prefer a switch to TAF/FTC/EVG/COBI following indications of clinical pathway [5 %; 0 %] | ||
| 15 % of patients receiving branded DRV + TDF/FTC should switch to generic DRV + TAF/FTC, however clinicians prefer a switch to TAF/FTC + DTG following indications of clinical pathway [5 %; 0 %] | ||
| 20 % of patients receiving branded DRV + TDF/FTC should switch to generic DRV + TAF/FTC, however clinicians prefer a switch to TAF/FTC/RPV following indications of clinical pathway [10 %; 0 %] | ||
| DRV + ABC/3TC switch to generic DRV + ABC/3TC [40 %; 100 %] | ||
| 50 % of patients receiving branded DRV + ABC/3TC should switch to generic DRV + ABC/3TC, however clinicians prefer a switch to ABC/3TC/DTG following indications of clinical pathway [40 %; 0 %] | ||
| Generic ATV | First semester 2019 | 50 % of patients receiving branded ATV + TAF/FTC switch to generic ATV + TAF/FTC[40 %; 100 %] |
| 15 % of patients receiving branded ATV + TDF/FTC should switch to generic ATV + TAF/FTC, however clinicians prefer a switch to TAF/FTC/EVG/COBI following indications of clinical pathway [5 %; 0 %] | ||
| 15 % of patients receiving branded ATV + TDF/FTC should switch to generic ATV + TAF/FTC, however clinicians prefer a switch to TAF/FTC + DTG following indications of clinical pathway [5 %; 0 %] | ||
| 20 % of patients receiving branded ATV + TDF/FTC should switch to generic ATV + TAF/FTC, however clinicians prefer a switch to TAF/FTC/RPV following indications of clinical pathway [10 %; 0 %] | ||
| 50 % of patients receiving branded ATV + ABC/3TC switch to generic ATV + ABC/3TC [40 %; 100 %] | ||
| 50 % of patients receiving branded ATV + ABC/3TC should switch to generic ATV + ABC/3TC, however clinicians prefer a switch to ABC/3TC/DTG following indications of clinical pathway [40 %; 0 %] | ||
| DTG | First semester 2015 | 10 % of switching patients receiving DRV (0.78 %) switch to DTG in each semester [5 %; 25 %] |
| 10 % of switching patients receiving ATV (0.78 %) switch to DTG in each semester [5 %; 25 %] | ||
| 75 % of switching patients receiving RAL (5.87 %) switch to DTG in each semester [50 %; 75 %] | ||
| ABC/3TC/DTG | Second semester 2015 | 100 % of patients receiving ABC/3TC + DTG switch to ABC/3TC/DTG in the semester in which the new drug enter the model [85 %; 100 %] |
| 20 % of patients receiving TDF/FTC + DTG switch to ABC/3TC/DTG in the semester in which the new drug enter the model [10 %; 30 %] | ||
| TAF/FTC/EVG/COBI | Second semester 2016 | 100 % of patients receiving TDF/FTC/EVG/COBI switch to TAF/FTC/EVG/COBI in the semester in which the new drug enter the model [100 %; 100 %] |
| TAF/FTC | First semester 2017 | 100 % of patients receiving TDF/FTC switch to TAF/FTC in the semester in which the new drug enter the model [100 %; 100 %] |
| TAF/FTC/RPV | Second semester 2017 | 100 % of patients receiving TDF/FTC/RPV switch to TAF/FTC/RPV in the semester in which the new drug enter the model [100 %; 100 %] |
Abbreviations: 3TC Lamivudine, EFV Efavirenz, TDF Tenofovir Disoproxil Fumarate, FTC Emtricitabine, NVP Nevirapine, ABC Abacavir, LPV Lopinavir, DTG Dolutegravir, DRV Darunavir, RAL Raltegravir, EVG Elvitegravir, COBI Cobicistat, RPV Rilpivirine, TAF Tenofovir Alafenamide Fumarate. Table legend text
Drugs prices considered in the analysis as reported within the HIV/AIDS Clinical Pathway of the Lombardy Region
| Drug | Daily dose | Brand drug monthly cost (€) | Generic drug monthly cost (€) | Source for brand price |
|---|---|---|---|---|
| ABC 300 mg | 2 | 224.40 | 89.76 | [ |
| ATV 200 mg | 2 | 503.58 | 201.43 | [ |
| ATV 300 mg | 1 | 332.97 | 133.19 | [ |
| DRV 400 mg | 2 | 348.48 | 139.39 | [ |
| DRV 600 mg | 2 | 528.00 | 211.20 | [ |
| DTG 50 mg | 1 | 495.15 | - | [ |
| EFV 600 mg | 1 | 128.68 | 128.68 | [ |
| FTC 200 mg | 1 | 161.37 | 64.55 | [ |
| 3TC 300 mg or 150 mg | 1 (300 mg) or 2 (150 mg) | 25.74 | 25.74 | [ |
| NVP 400 mg | 1 | 178.53 | 71.41 | [ |
| RAL 400 mg | 2 | 438.90 | - | [ |
| RPV 25 mg | 1 | 230.67 | - | [ |
| Ritonavir 100 mg | 1 or 2 | 24.97 (100 mg) | - | [ |
| TDF 245 mg | 1 | 276.87 | - | [ |
| TAF 245 mg | 1 | 276.87 | - | Expert opinion |
| TDF/FTC 200/245 mg | 1 | 438.90 | - | [ |
| TAF/FTC 200/245 mg | 1 | 438.90 | - | Expert opinion |
| ABC/3TC 600/300 mg | 1 | 398.31 | - | [ |
| 3TC/AZT 150/300 mg | 2 | 66.00 | 66.00 | [ |
| LPV/r 200/50 mg | 4 | 357.72 | 143.09 | [ |
| ABC/3TC/AZT 300/150/300 mg | 2 | 500.28 | - | [ |
| ABC/3TC/DTG 600/300/50 mg | 1 | 893.46 | - | Expert opinion |
| FTC/TDF/EFV 200/245/600 mg | 1 | 596.70 | 238.68 | [ |
| FTC/TDF/RPV 200/245/25 mg | 1 | 598.62 | - | [ |
| FTC/TAF/RPV 200/245/25 mg | 1 | 598.62 | - | Expert opinion |
| EVG/COBI/FTC/TDF 150/150/200/245 mg | 1 | 797.61 | - | [ |
| EVG/COBI/FTC/TAF 150/150/200/245 mg | 1 | 797.61 | - | Expert opinion |
The model’s results considering the cumulative effect of new and generic drugs
| 2015 | 2016 | 2017 | 2018 | 2019 | ||
|---|---|---|---|---|---|---|
| Number of patients | 94,727 | 99,205 | 103,893 | 108,804 | 113,946 | |
| No new and generic drugs scenario | Total ART cost (€) | 764,962,036 | 789,011,152 | 813,397,033 | 838,115,496 | 863,159,214 |
| Per capita ART cost (€) | 8,075 | 7,953 | 7,829 | 7,703 | 7,575 | |
| New and generic drugs scenario | Total ART cost (€) | 760,408,704 | 772,152,627 | 794,021,079 | 787,013,681 | 752,848,759 |
| Per capita ART cost (€) | 8,027 | 7,783 | 7,643 | 7,233 | 6,607 | |
| Δ in total cost (€) | −4,553,331 | −16,858,525 | −19,375,954 | −51,101,815 | −110,310,454 | |
| % Δ in total cost | −0.6 % | −2.1 % | −2.4 % | −6.1 % | −12.78 % | |
The model’s results considering the effect of new and generic drugs alone
| 2015 | 2016 | 2017 | 2018 | 2019 | ||
|---|---|---|---|---|---|---|
| Number of patients | 94,727 | 99,205 | 103,893 | 108,804 | 113,946 | |
| New antiretroviral drugs scenario | Total ART cost (€) | 780,148,483 | 815,891,938 | 845,063,294 | 885,581,470 | 929,655,763 |
| Per capita ART cost (€) | 8,236 | 8,224 | 8,134 | 8,139 | 8,159 | |
| Δ in total cost (€) compared to base case | +15,186,448 | +26,880,786 | +31,666,260 | +47,465,974 | +66,496,550 | |
| % Δ in total cost | +2.0 % | +3.4 % | +3.9 % | +5.7 % | +7.7 % | |
| Generic drugs scenario | Total ART cost (€) | 759,981,491 | 770,436,043 | 790,580,416 | 761,583,789 | 675,775,852 |
| Per capita ART cost (€) | 8,023 | 7,766 | 7,610 | 7,000 | 5,931 | |
| Δ in total cost (€) | −4,980,545 | −18,575,109 | −22,816,617 | −76,531,708 | −187,383,361 | |
| % Δ in total cost | −0.7 % | −2.4 % | −2.8 % | −9.1 % | −21.7 % | |
Fig. 1Total cost of the 4 scenarios and sensitivity analysis range of the “new and generic antiretroviral drugs” scenario
Sensitivity analysis results: percentage difference between “New and generic drugs scenarios”, and the scenario that does not consider new and generic drugs
| Scenario | 2015 | 2016 | 2017 | 2018 | 2019 | 5 Years mean difference |
|---|---|---|---|---|---|---|
| Base case | −0.6 % | −2.1 % | −2.4 % | −6.1 % | −12.8 % | −4.8 % |
| Increased costs | −0.5 % | −1.4 % | −1.3 % | −3.9 % | −8.4 % | −3.1 % |
| Decreased costs | −0.7 % | −3.0 % | −3.6 % | −9.1 % | −19.0 % | −7.1 % |
| Increased switch rates | −2.3 % | −3.9 % | −4.2 % | −7.7 % | −14.6 % | −6.6 % |
| Decreased switch rates | 0.2 % | −0.7 % | −0.9 % | −4.0 % | −9.6 % | −3.0 % |
| Increased costs and decreased switch rates | 0.2 % | −0.1 % | 0.0 % | −1.9 % | −5.5 % | −1.5 % |
| Increased costs and switch rates | −2.1 % | −3.0 % | −3.0 % | −5.3 % | −9.7 % | −4.6 % |
| Decreased costs and switch rates | 0.2 % | −1.2 % | −1.6 % | −6.2 % | −14.4 % | −4.7 % |
| Decreased costs and increased switch rates | −2.9 % | −5.3 % | −5.9 % | −10.9 % | −20.7 % | −9.1 % |