| Literature DB >> 28985732 |
Sung Eun Choi1, Margaret L Brandeau2, Eran Bendavid3,4.
Abstract
BACKGROUND: Malaria is a leading cause of morbidity and mortality among HIV-infected pregnant women in sub-Saharan Africa: at least 1 million pregnancies among HIV-infected women are complicated by co-infection with malaria annually, leading to increased risk of premature delivery, severe anaemia, delivery of low birth weight infants, and maternal death. Current guidelines recommend either daily cotrimoxazole (CTX) or intermittent preventive treatment with sulfadoxine-pyrimethamine (IPTp-SP) for HIV-infected pregnant women to prevent malaria and its complications. The cost-effectiveness of CTX compared to IPTp-SP among HIV-infected pregnant women was assessed.Entities:
Mesh:
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Year: 2017 PMID: 28985732 PMCID: PMC6389090 DOI: 10.1186/s12936-017-2047-x
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Model parameters
| Variable | Value | Distribution | Source |
|---|---|---|---|
| Demographic | |||
| Malaria prevalence in HIV-infected pregnant women | 31.0% | Beta(3.1,6.9) | [ |
| CD4 count | 390 | Normal(390,220) | [ |
| Incidence | |||
| Relative risk of malaria in HIV-infected pregnant woman | 1.6 | Gamma(1.6,1) | [ |
| CD4 change while on ART | 70 | Normal(70,100) | [ |
| Mortality | |||
| Neonatal mortality risk due to low birth weight | 6.93% | Beta(0.007,0.093) | [ |
| Annual mortality due to malaria during pregnancy | 0.33% | Beta(0.033,9.967) | [ |
| Annual mortality due to anaemia in pregnancy | 1.0% | Beta(0.1,9.9) | [ |
| Annual HIV mortality among HIV-infected pregnant women | 0.0161% | Beta(0.16,9.84) | [ |
| Annual HIV mortality among HIV-infected pregnant women on ART | 0.007% | Beta(0.07,9.93) | [ |
| Relative risk of HIV mortality of CTX while on ART | 0.47 | Beta(8,9) | [ |
| DALY calculations | |||
| Annual discount rate | 3% | 3% | [ |
| Average age (years) | 22.83 | 22.83 | [ |
| Life expectancy for women aged 20–24 (years) | 47.24 | Normal(47,3) | [ |
| Life expectancy at birth (years) | 57.96 | Normal(58,3) | [ |
| Disability weight—malaria during pregnancy | 0.21 | Normal(0.21,0.03) | [ |
| Disability weight—maternal anaemia due to malaria | 0.06 | Normal(0.06,0.02) | [ |
| Disability weight—low birth weight | 0.11 | 0.11 | [ |
| Length of disability (years)—malaria during pregnancy | 0.01 | Gamma(2.0,0.004) | [ |
| Length of disability (years)—maternal anaemia due to malaria | 0.06 | Gamma(1.2,0.04) | [ |
| Length of disability (years)—low birth weight | 57.96 | Gamma(32,1.8) | [ |
| Costs (USD 2015) | |||
| Drug cost | |||
| Intermittent preventive treatment (per dose) | $0.20 | Normal(0.2,0.01) | [ |
| Cotrimoxazole, 480 mg twice daily (per year) | $6.28 | Gamma(3.9,1.61) | [ |
| Healthcare labor costa | |||
| Labor time per IPTp-SP administration (min) | 8.31 | Gamma(13.85,0.6) | [ |
| Nurses’ monthly cost of labor | 542.76 | Gamma(29.3,18.5) | [ |
| Household cost | |||
| Antenatal care visit direct cost | 0.47 | Gamma(92.4,0.005) | [ |
| Antenatal care visit indirect cost | 1.17 | Gamma(146,0.008) | [ |
| ART treatment (per year) | $193.61 | Gamma(2,97) | [ |
| Efficacy | |||
| Low birth weight | |||
| Relative risk baseline (IPTp-SP 0–1 dose) vs. 2 dose IPTp-SP | 3.25 | Gamma(1.1,2.95) | [ |
| Incidence per 1000 women given IPTp-SP 2 dosesb | 175 | (91–222)a | [ |
| Relative risk IPTp-SP 3 doses vs. 2 doses | 0.86 | Normal(0.86,0.21) | [ |
| Relative risk CTX vs. 2 dose IPTp-SP | 1.16 | Gamma (1.05,1.1) | [ |
| Maternal parasitaemia | |||
| Relative risk baseline (IPTp-SP 0–1 dose) vs. 2 dose IPTp-SP | 1.4 | Gamma(1.15,1.2) | [ |
| Incidence per 1000 women given IPTp-SP 2 dosesb | 112 | (0–359)a | [ |
| Relative risk IPTp-SP 3 doses vs. 2 doses | 0.26 | Normal(0.26,0.08) | [ |
| Relative risk CTX vs. 2 dose IPTp-SP | 0.44 | Lognormal(−1.05,0.7) | [ |
| Relative risk CTX + ART vs. CTX | 0.38 | Lognormal(−1.2,0.7) | [ |
| Anaemia | |||
| Relative risk baseline (IPTp-SP 0–1 dose) vs. 2 dose IPTp-SP | 1.03 | Gamma(0.85,1.2) | [ |
| Incidence per 1000 women given IPTp-SP 2 dosesb | 582 | (333–795)a | [ |
| Relative risk IPTp-SP 3 doses vs. 2 doses | 582 | Normal(0.96,0.07) | [ |
| Relative risk CTX vs. 2 dose IPTp-SP | 0.72 | Normal(0.72,0.05) | [ |
ART antiretroviral therapy for HIV, CTX cotrimoxazole, DALY disability-adjusted life year, IPTp-SP intermittent preventive treatment with sulfadoxine–pyrimethamine
aLabor cost calculations assume that maximum hours of work is 48 h per week, 4.3 weeks per month [57]
bAge-adjusted incidence per 1000 women (the range is provided to illustrate low and high risk) under the 2-IPT Low Strategy (the Reference Strategy)
Model parameters varied across countries
| Country | Annual incidence of malaria (per 1000 women) [ | % of women receiving IPTp-SP [ | % of pregnant women living with HIV who received ART [ |
|---|---|---|---|
| Ghana | 127 | 58.2 | 62 |
| Kenya | 63 | 35.5 | 63 |
| Malawi | 174 | 80.7 | 79 |
| Mozambique | 262 | 31.4 | 84 |
| Tanzania | 32 | 58.4 | 73 |
ART antiretroviral therapy for HIV, IPTp-SP intermittent preventive treatment with sulfadoxine–pyrimethamine
Fig. 1Projected reduction in primary health outcomes, %. The horizontal bars represent projected percentage reduction in incidence of each primary health outcome for different strategies compared to the Reference Strategy (2-dose IPTp-SP)
Base case results
| Country and strategy | Costs per 10,000 women (USD) | DALYs per 10,000 women | Incremental cost | Incremental DALYs averted | ICER |
|---|---|---|---|---|---|
| Ghana | |||||
| 2-IPT Lowa | 359,992 | 12,055 | |||
| 3-IPT Low | 360,340 | 11,912 | 348 | 143 | Dominatedb |
| 3-IPT High | 361,594 | 11,434 | 1602 | 621 | Dominated |
| CTX | 361,009 | 9312 | 1017 | 2743 | $0.37 |
| Malawi | |||||
| 2-IPT Lowa | 393,772 | 14,671 | |||
| 3-IPT Low | 394,744 | 14,563 | 972 | 108 | Dominatedb |
| 3-IPT High | 399,172 | 12,382 | 5400 | 2289 | Dominated |
| CTX | 396,580 | 11,317 | 2808 | 3354 | $0.84 |
| Kenya | |||||
| 2-IPT Lowa | 383,217 | 7000 | |||
| 3-IPT Low | 384,314 | 6934 | 1097 | 66 | Dominatedb |
| 3-IPT High | 388,568 | 6183 | 5351 | 817 | Dominated |
| CTX | 386,518 | 5339 | 3301 | 1661 | $1.99 |
| Mozambique | |||||
| 2-IPT Lowa | 406,628 | 16,424 | |||
| 3-IPT Low | 409,130 | 16,022 | 2502 | 402 | Dominated |
| 3-IPT High | 409,367 | 15,997 | 2739 | 427 | Dominated |
| CTX | 404,816 | 15,240 | −1812 | 1184 | Cost-saving |
| Tanzania | |||||
| 2-IPT Lowa | 367,892 | 4364 | |||
| 3-IPT Low | 370,519 | 4327 | 2627 | 37 | Dominatedb |
| 3-IPT High | 371,468 | 4231 | 3576 | 133 | Dominated |
| CTX | 371,154 | 3516 | 3262 | 848 | $3.85 |
CTX cotrimoxazole, DALY disability-adjusted life year, ICER incremental cost-effectiveness ratio (cost per DALY averted) compared to the strategy in the row above, IPT intermittent preventive treatment with sulfadoxine–pyrimethamine
aReference Strategy
bDominated by extended dominance: a linear combination of two other strategies yields greater benefit at equal cost
Fig. 2One-way sensitivity analyses: CTX Strategy compared to Reference Strategy. The vertical lines represents the ICER in the base case analysis (2015 US dollars per DALY averted) and the horizontal bars represent the variation of the ICER given variations of key parameters. The numbers at each end of the bars represent the lower and upper bounds of the value used for each parameter. Numbers in brackets represent the deterministic value of each parameter (CTX RR estimates are compared to 2-dose IPTp-SP). CTX cotrimoxazole, RR relative risk, LBW low birth weight, MP malaria parasitaemia
Fig. 3Cost-effectiveness acceptability curve for Malawi. Willingness to pay (WTP) is expressed in 2015 US dollars per DALY averted. Each line represents the probability of each strategy being cost-effective compared to the Reference Strategy (2-dose IPTp-SP) for different WTP thresholds