| Literature DB >> 32103750 |
G M Ginsberg1,2, D Chemtob3,4.
Abstract
BACKGROUND: Between 2011 and 2015, Men who have sex with men (MSM) accounted for nearly half of new HIV cases among men in Israel. This study carries out a cost-utility analysis of PrEP (HIV Pre Exposure Prophylaxis), an antiretroviral medication that can protect against the acquisition of HIV infection, whose incidence rate in Israel is around 1.74 per 1000 MSM.Entities:
Keywords: AIDS; Cost-utility analysis; HIV infection; Israel; PrEP; Prevention
Mesh:
Substances:
Year: 2020 PMID: 32103750 PMCID: PMC7045377 DOI: 10.1186/s12889-020-8334-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Model Structure
ICER (USD at 2018 price levels) (Assuming 25% of non-UAI get PrEP of whom 75% of stop using condoms)
| Without PrEP | With PrEP | Change | |
|---|---|---|---|
| HIV cases | 1113 | 621 | −493 |
| DALY losses | 3651 | 2035 | −1616 |
| Extra Costs or Savings (−) | |||
| Intervention | – | 1,897,994,185 | 1,897,994,185 |
| Treatment Costs | 574,205,146 | 320,086,559 | −254,118,587 |
| Productivity Losses | 176,601,307 | 98,445,173 | −78,156,144 |
| Premature Burial | 4,796,748 | 2,673,913 | −2,122,835 |
| TOTAL | 755,603,201 | 2,319,199,820 | 1,563,596,619 |
| Incremental Cost-Effectiveness Ratio (USD per DALY) | |||
| HIV Cases | 1037 | 578 | − 459 |
| DALY losses | 3422 | 1908 | − 1515 |
| Extra Costs or Savings (−) | |||
| Total Costs | 708,287,160 | 2,292,823,802 | 1,583,536,642 |
| Incremental Cost-Effectiveness Ratio (USD per DALY) | |||
| HIV Cases | 1308 | 729 | − 579 |
| DALY losses | 4264 | 2377 | − 1887 |
| Extra Costs or Savings (−) | |||
| Total Costs | 882,406,479 | 2,389,885,374 | 1,507,478,895 |
| Incremental Cost-Effectiveness Ratio (USD per DALY) | |||
Note: Assumes 80% PrEP take up by high-risk MSM,
25% PrEP take up by low-risk MSM of whom 75% stop condom use
PrEP efficacy of 86.0% (molina, mccormack)
Based on MOH payment schedule to HMOs for HIV/AIDS patients
A 10% discount on current PrEP prices
Cost (USD at 2018 levels) per QALY by drug price and PrEP Efficacy
| PrEP Efficacy | ||||||
|---|---|---|---|---|---|---|
| Price | (a) | (b) | (c) | (d) | (e) | (f) |
| Decrease | 56.3% | 70.0% | 78.5% | 86.0% | 90.0% | 97.1% |
| 10% | 2,689,603 | 1,521,835 | 1,174,811 | 967,744 | 881,831 | 754,449 |
| 25% | 2,301,819 | 1,290,388 | 989,823 | 810,477 | 736,066 | 625,738 |
| 50% | 1,655,511 | 904,643 | 681,509 | 548,366 | 493,124 | 411,218 |
| 70% | 1,138,465 | 596,047 | 434,858 | 338,677 | 298,771 | 239,603 |
| 90% | 621,419 | 287,451 | 188,206 | 128,988 | 104,417 | 67,988 |
(a) Current baseline estimate
(b) lower 90%/95% bounds from refs [2, 4, 5]
(c) weighted average from refs [2, 4, 5]
(d) weighted average from refs [4, 5] (baseline)
(e) upper 90%/95% bounds from [2, 4, 5]
(f) ref. [10]
Assumes background decline in HIV for four more years, 80% PrEP take up by high-risk MSM,
25% PrEP take up by low-risk MSM of whom 75% stop condom use
Based on MOH payment schedule to HMOs for HIV/AIDS patients
Cost (USD at 2018 levels) -per averted DALY by decrease in PrEP prices and % of non-UAI users stopping Condom use on receiving PrEP
| % non-UAI stopping condom use | Decrease in PrEP prices | BEP price decrease | |||
|---|---|---|---|---|---|
| 10% | 50% | 70% | 90% | ||
| 0% | 860,319 | 479,292 | 288,779 | 98,265 | 87.5% |
| 25% | 893,876 | 500,869 | 304,366 | 107,862 | 88.6% |
| 50% | 929,611 | 523,847 | 320,964 | 118,082 | 89.6% |
| 75% | 967,744 | 548,366 | 338,677 | 128,987 | 90.7% |
Notes: Assumes 80% PrEP take up by high-risk MSM,
25% PrEP take up by low-risk MSM
PrEP efficacy of 86.0% (References (4, 5)
Based on MOH payment schedule to HMOs for HIV/AIDS patients
BEP Break Even Point (price decrease) for cost-effectiveness
Fig. 2Cost (NIS) per QALY by price decrease and PrEP efficacy
Cost-effectiveness ratios by decreases in PrEP costs assuming no non-UAI receive PrEP
| (based on 2018 price levels). | |||
|---|---|---|---|
| Decrease in | Net Intervention | Averted | Cost (USD) per |
| PrEP prices | Cost (millions USD) | DALYs | averted DALY |
| 10% | 582 | 1445 | 402,669 |
| 50% | 267 | 1445 | 185,026 |
| 70% | 110 | 1445 | 76,204 |
| 90% | −47(a) | 1445 | n.a. |
Notes: Assumes 80% PrEP take up by high-risk MSM,
PrEP efficacy of 86.0% [4, 5]
(a) Negative net intervention cost means intervention becomes Cost-Saving (i.e. savings in treatment costs outweigh intervention costs) at price decreases in excess of 84.0%
Intervention becomes very cost-effective or cost-effective when PrEP prices fall by more than 76.5% or 61.7% respectively
Variables used in model
| Source(s) and numbered text References | |||
|---|---|---|---|
| PrEP daily first year | 24,143 | NIS | [ |
| PrEP daily subsequent years | 23,565 | NIS | [ |
| Current discount on PrEP cost | 10% | Assumed | |
| Reduction for “PrEP on demand” | 40.1% | NIS | [ |
| Monitoring PrEP first year | 4237 | NIS | a,b |
| Monitoring PrEP subsequent years | 3659 | NIS | a,b |
| Monitoring PrEP first year | 1810 | NIS | b |
| Monitoring PrEP subsequent years | 1312 | NIS | b |
| Employment Losses - first year | 1505 | NIS | [ |
| Employment Losses - subsequent years | 1120 | NIS | [ |
| HIV Treatment Costs | 94,759 | NIS | d |
| monitoring NON_HAART -first year | 5693 | NIS | a |
| monitoring-NON HAART- subsequent years | 12,845 | NIS | a |
| HIV negative (at age 36 years) | 0.09 | [ | |
| HIV positive with HAART Rx | 0.14 | [ | |
| HIV no HAART Rx | 0.20 | [ | |
| AIDS with HAART Rx | 0.15 | [ | |
| AIDS no HAART Rx | 0.29 | [ | |
| Excess Hospitalization Days per HIV case | 1.74 | per year | [ |
| HIV incidence rate trend among MSM (2011–2017) | −5.20% | per year | f |
| HIV to AIDS progression with HAART | 0.08 | per year | [ |
| HIV to AIDS progression without HAART | 0.33 | per year | [ |
| HAART efficacy in Israel | 47.8% | 1 | |
| % HIV+ taking HAART | 81.8% | f | |
| % HIV+ of high risk group who will take HAART | 81.8% | f | |
| % of persons who were not taking HAART who start taking when they get AIDS | 90% | f | |
| HIV+ with ART- 40 yrs | 0.007 | [ | |
| HIV+ with ART- 50 yrs | 0.013 | [ | |
| HIV+ without ART- 40 yrs | 0.040 | [ | |
| HIV+ without ART- 50 yrs | 0.073 | [ | |
| AIDS+ with ART- 40 yrs | 0.060 | [ | |
| AIDS+ with ART- 50 yrs | 0.067 | [ | |
| AIDS+ without ART- 40 yrs | 0.524 | [ | |
| AIDS+ without ART- 50 yrs | 0.587 | [ | |
| Baseline RCT | 86.0% | [ | |
| sensitivity analysis | 78.5% | [ | |
| sensitivity lower 90% | 56.3% | [ | |
| sensitivity upper 90% | 90.0% | [ | |
| open label trial | 97.1% | [ | |
| Coverage | 100% | Assumed | |
| % of UAI MSM starting PrEP | 80% | [ | |
| % of non-UAI MSM starting PrEP | 25% | Assumed | |
| % ofnon-UAI MSM PrEP who cease condom use | 75% | Assumption | |
| Protection from condom use | 80% | [ | |
| Transmission risk with condom | 1.6% | per act | [ |
| Transmission risk without condom | 8.0% | per act | [ |
| HIV cases per 100,000 high risk MSM | 421.8 | f | |
| HIV cases per 100,000 non-high risk MSM | 84.4 | f | |
| Average age at HIV diagnosis | 36.0 | Years | f |
| Life expectancy at age of HIV diagnosis. | 45.6 | Years | [ |
| Male population aged 18–69 (2018) | 2,478,600 | [ | |
| MSM prevalence | 3% | [ | |
| MSM aged 18–69 | 78,013 | [ | |
| Background Mortality - age-related eg: 40 yrs | 0.001064 | [ | |
| Background Mortality - age-related eg: 50 yrs | 0.002894 | [ | |
| Discount Rate | 3% | per annum | [ |
| Average Employment Cost | 165,592 | NIS per annum | [ |
| Exchange Rate | 3.595 | USD to NIS | [ |
| % makes 18–69 unemployed | 7.1% | [ | |
| Work losses due to PrEP monitoring yr 1 | 1505 | [ | |
| Work losses due to PrEP monitoring yr 2+ | 1120 | [ | |
| Productivity losses due to HIV | 23% | [ | |
| % participating in labour force (age-related) | 67–77% | [ | |
| Burial Costs | 30,000 | NIS | Current cost |
| General Hospital | 2218 | NIS per day | b |
| Emergency Room Visit | 316 | NIS | b |
| % work losses due to HIV aged 15–24 | 23.0% | [ | |
| % work losses due to HIV aged 25–53 | 32.2% | [ | |
| % work losses due to HIV aged 54+ | 4.6% | [ | |
| Absenteeism due to HIV treatment | 23.3 | hours per year | [ |
| Social Overheads on wages | 23% | NIS | [ |
| Wage Cost per Hour | 71.31 | [ | |
| Male working hours | 40.475 | hours per week | [ |
| GNP per capita | 145,374 | NIS | [ |
a) Ministry of Health protocols
b) Ministry of Health prices
c) HMO prices
d) MOH reimbursement agreement with HMOs
e) MOH Statistics Department
f) MOH Department of TB and AIDS
Cost-per averted DALY (USD) by Decrease in PrEP prices and % of non-UAI users stopping Condom use on receiving PrEP
| % non-UAI stopping condom use | Decrease in PrEP prices | BEP price decrease | |||
|---|---|---|---|---|---|
| 10% | 50% | 70% | 90% | ||
| 0% | 849,172 | 472,124 | 283,601 | 95,077 | 87.2% |
| 25% | 882,020 | 493,246 | 298,859 | 104,471 | 88.2% |
| 50% | 916,977 | 515,723 | 315,096 | 114,469 | 89.3% |
| 75% | 954,254 | 539,692 | 332,410 | 125,129 | 90.3% |
Notes: Assuming 10% of high-risk users who receive PrEP also start using condoms
Assumes 80% PrEP take up by high-risk MSM,
25% PrEP take up by low-risk MSM
PrEP efficacy of 86.0% [4, 5]
Based on MOH payment schedule to HMOs for HIV/AIDS patients
BEP = Break Even Point (price decrease) for cost-effectiveness