| Literature DB >> 27027633 |
Muhammad Hamza1, Maryam A Idris1, Musa B Maiyaki1, Mohammed Lamorde2, Jean-Philippe Chippaux3, David A Warrell4, Andreas Kuznik1,2,5, Abdulrazaq G Habib1.
Abstract
BACKGROUND: Snakebite poisoning is a significant medical problem in agricultural societies in Sub Saharan Africa. Antivenom (AV) is the standard treatment, and we assessed the cost-effectiveness of making it available in 16 countries in West Africa.Entities:
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Year: 2016 PMID: 27027633 PMCID: PMC4814077 DOI: 10.1371/journal.pntd.0004568
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Decision tree model for managing snakebite envenoming with or without FAV Afrique antivenom in Cameroun (each of the 16 countries has a similar model with its data input).
Model parameter definitions: c20WBCTest = cost of 20 minutes Whole Blood Clotting Test on 10 occassions over 7 days at diagnoses and monitoring; cAdvReaction = Cost of managing early adverse reactions; cAntivenom = Cost of Antivenom; cFeed_Transp = Cost of transporation and stay in Hospital for 7days; cRefrg_Transp = Cost of shipping and refrigeration; cNoAntivenom = Cost of management without effective antivenoms either traditional/herbal care or other alternatives; cSupp_care = Cost of supportive care. All costs are in US$. antivenomeff = Effectiveness of antivenom to prevent death; pEARmono = probability of early adverse reactionswith monospecific antivenom; pEARpoly = probability of early adverse reactionswith polyspecific antivenom; pEARmort = probability of dying following effective antivenom and early adverse reactions; pCVmort = probability of dying following carpet viper envenoming; pNCVmort = probability of dying following non-carpet viper envenoming; pCV = proportion of envenoming due to carpet viper; pDisabl = probability of disability; dw = disability weighting of consequences of snakebite envenoming; x = effect of adrenaline premedication reduction of risk of early adverse reactions.
Data estimates used in the model by country.
| (a) Mean age at bite (+remaining life expectancy [2012]), years | (b) Proportion of envenoming due to CV or vipers (%) | (c) Untreated Mortality (CV; Non-CV) | (d) Mortality post AV (CV; Non-CV) | AV effectiveness against mortality (e) = [1-RR] or alternatively = (c-d)/c (for CV; Non-CV) | Risk of Early Adverse Reactions with CV(mono) and NCV(poly[(%) | Comments | References | |
|---|---|---|---|---|---|---|---|---|
| Model 1: Antivipmyn Antivenom | ||||||||
| Benin Republic | 25–29 (44) | 85% | 15%; 9/33(27.3%) | 3.11%; 4/26(15.4%) | 79.3%; (NA) 43.6% (0–80.5%) | 3.3% | Used NCV data from Guinea | Fayomi et al 2002 [ |
| Guinea-Conakry | 25–29 (43) | 83% | 15%; 9/33(27.3%) | 3.11%; 4/26(15.4%) | 79.3%; (NA) 43.6% (0–80.5%) | 3.3% | Used CV data from Benin | Fayomi et al 2002 [ |
| Model 2: EchiTab-G and EchiTab-Plus Antivenom | ||||||||
| Nigeria | 26 (41) | 66% | 19/120(15.83%); 5% | 78/6137(1.27%) | 92% (87–95%) | ET-19%; ETPlus-26% | Warrell et al 1977 [ | |
| Burkina Faso | 25–29 (43) | 85% | 12.1%; 5% | NA | 92% (87–95%) | ET-19%; ETPlus-26% | Used AV effect from Nigeria; Ghana mortality | Warrell et al 1977 [ |
| Model 3: FAV Afrique Antivenom | ||||||||
| Cameroon | 25–29 (41) | 85% | 15/98(15.3%) | NA | 85.2%(56.1–95%); | 4.3% | Used (c) & (e) from Chad/Ghana | Chippaux et al 1999 [ |
| Chad | 25.2 (38) | 85% | 15/98(15.3%) | 4/60(6.67%) | 56.43% (0–85.2%); | 4.3% | Chippaux et al 1999 [ | |
| Ghana | 25–29 (45) | 85% | 8/66(12.1%); - | 5/278(1.8%) | 85.2%(56.1–95%); | 4.3% | Chippaux et al 1999 [ | |
| Mali | 28 (43) | 85% | 8.1%; 5% | 1.5% | 81.48% (NA) | 4.3% | Chippaux et al 1999 [ | |
| Other/Multiple Antivenoms | ||||||||
| Cote d’Ivoire | 25–29 (39) | 83% | 12.1%;- | 75%(55–86%)- | 4.3% | AV efficacy from meta-analysis | Habib & Warrell 2013 [ | |
| Gambia | 25–29 (44) | 40% | 14.3% | 75%(55–86%) | 4.3% | Enwere et al 2000 [ | ||
| Guinea-Bissau | 25–29 (41) | 40% | 15%; 27.3% | 75%(55–86%); 43.6% (0–80.5%) | 4.3% | Habib & Warrell 2013 [ | ||
| Liberia | 25–29 (44) | 0% (*1%) | 0%(*15%);5% | 75%(55–86%) | 4.3% | Pugh et al 1980 [ | ||
| Niger | 29 (44) | 85% | 15%; 5% | 75%(55–86%) | 4.3% | Habib & Warrell 2013 [ | ||
| Senegal | 25–29 (45) | 40% | 15%;5% | 75%(55–86%) | 4.3% | Trape et al 2002 [ | ||
| Sierra-Leone | 25–29 (37) | 0% (*1%) | 0% (*15%);5% | 75%(55–86%) | 4.3% | Pugh et al 1980 [ | ||
| Togo | 25–29 (43) | 85% | 12.1%; 5% | 75%(55–86%)— | 4.3% | Habib & Warrell 2013 [ | ||
CV—carpet viper; RR—Relative Risk
General assumptions used in Monte Carlo simulations.
| Assumption | Base Case Value (BCV) | Range of BCVs | Distribution | Reference |
|---|---|---|---|---|
| Proportion of envenoming due to CV/ Non-Elapids (%) | Varies by country | 1–85% | Beta | |
| Mortality due to untreated CV envenoming (%) | Varies by country | 8.1–15.83% | Beta | |
| Mortality due to untreated Non-CV/Elapid envenoming (%) | Varies by country | 5–27.3% | Beta | |
| AV effectiveness against CV mortality (%) | Varies by country | 56.43–92% | Beta | |
| AV effectiveness against Non-CV/Elapid mortality (%) | Varies by country | 43.6–92% | Beta | |
| Risk of AV EAR for CV envenoming (%) | Varies by country | 3.3–19% | Beta | |
| Risk of AV EAR for Non-CV envenoming (%) | Varies by country | 3.3–26% | Beta | |
| Risk of AV EAR mortality (%) | 1% | Same for each country | Beta | |
| Risk of amputation following envenoming (%) | 3% | Same for each country | Beta | |
| Disability weight for amputation | 0.102 | Same for each country | Beta | |
| Cost of antivenom (US$) | $153 | Same for each country | Normal | |
| Cost of 20min Whole Blood Clotting Test | $3.125 | Same for each country | Normal | |
| Cost of managing Early Adverse Reactions | $1.875 | Same for each country | Normal | |
| Cost of supportive care | $18.75 | Same for each country | Normal | |
| Cost of feeding and transportation | $43.75 | Same for each country | Normal | |
| Cost of refrigeration and transportation | $18.75 | Same for each country | Normal | |
| Cost of no antivenom (US$) | $0 | Same for each country | Not varied | Our assumption |
| DALYs averted per death averted (3% discounted) | Varies by country | 22.17–24.52 | Not varied | Our calculations |
| DALYs averted per amputation averted (3% discounted) | Varies by country | 2.26–2.50 | Not varied | Our calculations |
Results from model outputs by country and scenarios.
| Country and GDP/Capita ($) [ | Increm Cost Effect Ratio[ICER]/DALY ($) (95% Conf. Interval) | Cost/Death Averted ($) | Probability Antivenom is cost-effective (%) | ICER if Antivenom Cost = $125 | ICER if Antivenom Cost = $306 | ICER if proportion of Carpet Viper = 0% ($) | ICER if Av Effect for Non Carpet Viper = 0% ($) | ICER if the ‘No Antivenom’ arm paid for Basic costs of $65.63 |
|---|---|---|---|---|---|---|---|---|
| Benin (751) | 82.63 (36.41–240.09) | 1997.91 | 99.99 | 72.87 | 135.96 | 81.75 | 97.26 | 59.75 |
| B/Faso (652) | 99.44 (40.39–377.40) | 2384.81 | 99.61 | 87.98 | 164.05 | 226.53 | 107.18 | 71.94 |
| Cameroun (1220) | 86.97 (38.47–240.43) | 2030.05 | 100.00 | 76.70 | 143.11 | 238.39 | 92.01 | 62.89 |
| Chad (1035) | 136.94 (51.33–704.75) | 3070.80 | 99.13 | 120.77 | 225.34 | 376.61 | 144.89 | 99.03 |
| Cote d’Ivoire (1366) | 128.24 (51.20–461.64) | 2916.02 | 99.97 | 113.09 | 211.04 | 278.37 | 139.16 | 92.73 |
| Gambia (509) | 150.08 (72.18–305.49) | 3628.88 | 99.99 | 132.25 | 247.47 | 261.77 | 229.59 | 108.30 |
| Ghana (1646) | 103.61 (42.04–372.87) | 2532.73 | 99.99 | 91.38 | 170.50 | 227.63 | 111.21 | 74.93 |
| Guinea Bissau (576) | 87.09 (44.96–171.55) | 2032.72 | 100.00 | 76.75 | 143.60 | 84.76 | 226.64 | 62.85 |
| Guinea Conakry (493) | 83.54 (36.59–236.35) | 1997.41 | 99.98 | 73.67 | 137.49 | 82.68 | 100.72 | 60.40 |
| Liberia (414) | 256.61 (147.67–417.68) | 6204.95 | 97.28 | 226.00 | 423.92 | 261.77 | 13,964.26 | 184.85 |
| Mali (696) | 160.48 (82.21–306.83) | 3836.74 | 100.00 | 141.52 | 264.06 | 243.47 | 178.09 | 116.04 |
| Niger (385) | 97.23 (39.84–328.02) | 2351.06 | 98.64 | 85.75 | 159.99 | 261.77 | 102.98 | 70.31 |
| Nigeria (2742) | 92.56 (40.27–242.63) | 2160.33 | 100.00 | 81.61 | 152.35 | 232.04 | 107.96 | 66.91 |
| Senegal (1023) | 143.81 (67.34–317.76) | 3515.25 | 100.00 | 126.73 | 237.14 | 258.95 | 216.41 | 103.78 |
| Sierra Leone (590) | 280.77 (158.51–456.68) | 6204.95 | 99.86 | 247.27 | 463.83 | 286.42 | 15,278.99 | 202.25 |
| Togo (589) | 120.42 (47.62–455.04) | 2878.98 | 98.86 | 106.19 | 198.14 | 264.75 | 129.25 | 87.08 |
*Scenario of Basic costs in the No antivenom arm = Cost of supportive care ($18.75) + Cost of feeding and transportation ($43.75) + Cost of 20min Whole Blood Clotting Test ($3.125) = $65.63
AV—antivenom; ICER—Incremental Cost Effectiveness Ratio;
Fig 2Tornado diagrams assessing the impact of changes in envenoming/antivenom and cost parameters on the incremental cost-effectiveness ratio (ICER) per DALY for antivenom use in Guinea Bissau (L) and Senegal (R).
Diagram parameter definitions: c20WBCTest = cost of 20 minutes Whole Blood Clotting Test on 10 occassions over 7 days at diagnoses and monitoring; cAntivenom = Cost of Antivenom; cFeed_Transp = Cost of transporation and stay in Hospital for 7days; cRefrg_Transp = Cost of shipping and refrigeration; cNoAntivenom = Cost of management without effective antivenoms either traditional/herbal care or other alternatives; cSupp_care = Cost of supportive care. All costs are in US$. Antivenomeff = Effectiveness of antivenom to prevent death; pEARmono = probability of early adverse reactions with monospecific antivenom; pEARpoly = probability of early adverse reactionswith polyspecific antivenom; pEARmort = probability of dying following effective antivenom and early adverse reactions; pCVmort = probability of dying following carpet viper envenoming; pNCVmort = probability of dying following non-carpet viper envenoming; pCV = proportion of envenoming due to carpet viper; pDisabl = probability of disability.
Fig 3Monte Carlo Simulation showing the probability antivenom is cost-effective in majority of iterations (out of 10,000) for 4 countries with respective Willingness To Pay (GDP/capita) and probabilities: top panel Chad (WTP $1035; prob-99.13%) [L] and Liberia (WTP $414; prob-97.28%) [R] and bottom panel Niger (WTP $385; prob-98.64%) [L] and Togo (WTP $589; prob-98.86%) [R].