| Literature DB >> 27888437 |
Christine L Baker1, Cheryl P Ferrufino2, Marianna Bruno1, Stacey Kowal3.
Abstract
INTRODUCTION: Despite abundant information on the negative impacts of smoking, more than 40 million adult Americans continue to smoke. The Affordable Care Act (ACA) requires tobacco cessation as a preventive service with no patient cost share for all FDA-approved cessation medications. Health plans have a vital role in supporting smoking cessation by managing medication access, but uncertainty remains on the gaps between smoking cessation requirements and what is actually occurring in practice. This study presents current cessation patterns, real-world drug costs and plan benefit design data, and estimates the 1- to 5-year pharmacy budget impact of providing ACA-required coverage for smoking cessation products to understand the fiscal impact to a US healthcare plan.Entities:
Keywords: Affordable Care Act; Budgetary impact; Pharmacotherapy; Smoking cessation; Tobacco control; Varenicline
Mesh:
Substances:
Year: 2016 PMID: 27888437 PMCID: PMC5216065 DOI: 10.1007/s12325-016-0446-y
Source DB: PubMed Journal: Adv Ther ISSN: 0741-238X Impact factor: 3.845
Fig. 1Markov framework
National commercial and Medicaid population inputs
| Inputs to estimate adult smokers (plan of 1 million covered lives) | |||||
|---|---|---|---|---|---|
| Population distribution [ | Male population | Female population | Plan population | ||
| % | No. males | % | No. females | Males and females | |
| 0–12 | 8.33 | 83,339 | 7.98 | 79,762 | 163,101 |
| 13–17 | 8.29 | 32,892 | 3.15 | 31,487 | 64,379 |
| 18–24 | 4.90 | 49,028 | 4.65 | 46,491 | 95,519 |
| 25–44 | 13.28 | 132,753 | 13.10 | 130,960 | 263,713 |
| 45–64 | 12.73 | 127,289 | 13.35 | 133,465 | 260,754 |
| 65+ | 6.76 | 67,578 | 8.50 | 84,956 | 152,534 |
| Total adult (18+) | 376,648 | 395,872 | 772,520 | ||
Inputs for estimating eligible quitters represent both male and female populations combined; Information on the number of individuals in the 13–17 age group is collected to allow for patients to age into the model over the 5-year time horizon
The model maintains maximum precision in the population calculations. Therefore, numbers may not sum due to rounding
National commercial inputs for product utilization and unit costs [18]
Efficacy rates of smoking cessation interventions [25, 26]
| Odds ratio | 12-month quit rate (%) | |
|---|---|---|
| PLACEBO | N/A | 9.3 |
| VARENICLINE | 2.88 | 22.8 |
| BUPROPION | 1.82 | 15.7 |
| NRT GUM | 1.68 | 14.7 |
| NRT INHALER | 1.84 | 15.9 |
| NRT LOZENGE | 1.84 | 15.9 |
| NRT NASAL SPRAY | 1.84 | 15.9 |
| NRT PATCH | 1.91 | 16.4 |
Smoking cessation costs and results
| Model setting | PMPM | Annual costs | No. patients attempting to quit | No. successful quitters | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Current ($) | Projected ($) | Diff ($) | Diff (%) | Current ($) | Projected ($) | Diff ($) | Diff (%) | Current | Projected | Diff (#) | Diff (%) | Current | Projected | Diff (#) | Diff (%) | |
| National commercial | ||||||||||||||||
| Year 1 | 0.08 | 0.10 | 0.02 | 29.6 | 915,034 | 1,186,041 | 271,007 | 29.6 | 1403 | 1695 | 292 | 20.8 | 274 | 347 | 73 | 26.7 |
| Year 2 | 0.08 | 0.10 | 0.02 | 29.9 | 901,415 | 1,171,370 | 269,955 | 29.9 | 1382 | 1674 | 292 | 21.1 | 267 | 327 | 60 | 22.3 |
| Year 3 | 0.08 | 0.10 | 0.02 | 29.4 | 895,517 | 1,158,501 | 262,984 | 29.4 | 1373 | 1656 | 283 | 20.5 | 254 | 308 | 54 | 21.2 |
| Year 4 | 0.08 | 0.10 | 0.02 | 28.7 | 890,814 | 1,146,912 | 256,098 | 28.7 | 1366 | 1639 | 273 | 20.0 | 241 | 290 | 49 | 20.5 |
| Year 5 | 0.08 | 0.10 | 0.02 | 28.2 | 887,101 | 1,136,931 | 249,830 | 28.2 | 1360 | 1625 | 265 | 19.4 | 229 | 274 | 45 | 19.8 |
| Year 1–5 average | 0.08 | 0.10 | 0.02 | 29.2 | 897,976 | 1,159,951 | 261,975 | 29.2 | 1377 | 1658 | 281 | 20.4 | 253 | 309 | 56 | 22.2 |
| National Medicare | ||||||||||||||||
| Year 1 | 0.05 | 0.06 | 0.01 | 21.6 | 590,763 | 718,554 | 127,791 | 21.6 | 1404 | 1696 | 292 | 20.8 | 238 | 302 | 64 | 26.7 |
| Year 2 | 0.05 | 0.06 | 0.01 | 22.0 | 582,127 | 709,905 | 127,778 | 22.0 | 1383 | 1675 | 292 | 21.1 | 233 | 285 | 52 | 22.4 |
| Year 3 | 0.05 | 0.06 | 0.01 | 21.4 | 578,466 | 702,326 | 123,860 | 21.4 | 1375 | 1657 | 282 | 20.6 | 221 | 268 | 47 | 21.3 |
| Year 4 | 0.05 | 0.06 | 0.01 | 20.8 | 575,565 | 695,502 | 119,937 | 20.8 | 1368 | 1641 | 273 | 20.0 | 210 | 253 | 43 | 20.5 |
| Year 5 | 0.05 | 0.06 | 0.01 | 20.3 | 573,293 | 689,636 | 116,343 | 20.3 | 1362 | 1627 | 265 | 19.5 | 199 | 239 | 40 | 19.8 |
| Year 1–5 average | 0.05 | 0.06 | 0.01 | 21.2 | 580,043 | 703,185 | 123,142 | 21.2 | 1378 | 1659 | 281 | 20.4 | 220 | 269 | 49 | 22.3 |
| National Medicaid | ||||||||||||||||
| Year 1 | 0.06 | 0.07 | 0.01 | 33.0 | 602,456 | 801,511 | 199,055 | 33.0 | 892 | 1053 | 161 | 18.0 | 179 | 219 | 40 | 22.4 |
| Year 2 | 0.05 | 0.07 | 0.02 | 33.2 | 582,634 | 776,029 | 193,395 | 33.2 | 863 | 1019 | 156 | 18.2 | 169 | 201 | 32 | 19.1 |
| Year 3 | 0.05 | 0.07 | 0.02 | 32.7 | 566,938 | 752,298 | 185,360 | 32.7 | 840 | 988 | 148 | 17.7 | 156 | 184 | 28 | 18.4 |
| Year 4 | 0.05 | 0.07 | 0.02 | 32.2 | 552,375 | 730,153 | 177,778 | 32.2 | 818 | 959 | 141 | 17.3 | 143 | 169 | 26 | 17.8 |
| Year 5 | 0.05 | 0.06 | 0.01 | 31.7 | 538,703 | 709,471 | 170,768 | 31.7 | 798 | 932 | 134 | 16.8 | 132 | 154 | 22 | 17.2 |
| Year 1–5 average | 0.05 | 0.07 | 0.02 | 32.6 | 568,621 | 753,892 | 185,271 | 32.6 | 842 | 990 | 148 | 17.6 | 156 | 186 | 30 | 19.2 |
All cost and quitter estimates presented are rounded up to the nearest significant digit. Relative difference shown is calculated on the unrounded values
Current current scenario, projected projected scenario, diff (%) relative difference, diff (#) absolute difference, number of patients, diff ($) absolute difference, dollars