A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | |
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1 | IPTi | Notes | |||||||||||||||||||||
2 | Number of children treated with hypothetical donation | ||||||||||||||||||||||
3 | Hypothetical donation (arbitrary) | $100,000 | |||||||||||||||||||||
4 | Cost of providing TA to implement IPTi, per child receiving at least one dose | $4 | We guess that the full programmatic costs will be driven by the costs of providing technical assistance to implement IPTi, including things like costs of stakeholder engagement, health provider training, monitoring, and procurement and supply chain management. Thus we have gone with a cost estimate that is much higher than the costs of the drugs alone. We plan to refine this estimate as we investigate specific funding opportunities. | ||||||||||||||||||||
5 | Percentage of children in targeted age range that receive at least one dose | 74% | To get a rough estimate of costs per targeted child from costs per child receiving at least one dose of IPTi, we use take-up of first dose of IPTi by 9 months as a proxy for take-up of any dose of IPTi. This may not be accurate, but we expect to have much better information on costs as we're looking into specific funding opportunities. | ||||||||||||||||||||
6 | Cost of providing TA to implement IPTi, per child among targeted age range | $2.96 | |||||||||||||||||||||
7 | Children targeted with hypothetical donation | 33,784 | |||||||||||||||||||||
8 | |||||||||||||||||||||||
9 | Baseline mortality rates | ||||||||||||||||||||||
10 | Baseline mortality rate for IPTi age range | ||||||||||||||||||||||
11 | Malaria mortality per 100,000 children 1 to 12 months of age in DRC | 757 | Postneonatal mortality rate in 2017 in the Democratic Republic of Congo (DRC). From GBD Results Tool. We rely on data from the DRC for illustration for now, as it is a country with a high burden of malaria and low malaria seasonality and may be similar to geographies where we would consider funding IPTi. As we investigate specific funding opportunities, we plan to revisit the CEA for the countries we are considering. | ||||||||||||||||||||
12 | Monthly malaria mortality rate for children under 1 year of age | 69 | Assuming mortality rate stays constant between 1 and 12 months of age. | ||||||||||||||||||||
13 | Youngest age that IPTi covers (months) | 2.5 | |||||||||||||||||||||
14 | Oldest age that IPTi covers (months) | 12 | Assuming 12 months for now, but this will depend on the specific funding opportunities we look into. Under the current WHO guidelines, the last round of standard IPTi occurs at 9 months, and SP provides around 1 month of protection from when it's taken. However, we are considering proposals to add additional touchpoints for IPTi that would cover an infant up to 1 year (and possibly up to 2 years) of age, so we use coverage up to 12 months as a placeholder guess. | ||||||||||||||||||||
15 | Baseline mortality per 100,000 children in age range that IPTi covers | 654 | Adjusted from postneonatal mortality to get mortality rate within the age range over which IPTi provides protection. | ||||||||||||||||||||
16 | |||||||||||||||||||||||
17 | Ratio of baseline mortality in under-1 and over-1-year-olds | ||||||||||||||||||||||
18 | Number of annual malaria deaths, all ages | 81,226 | Data on mortality in DRC in 2017, from the GBD Results Tool. | ||||||||||||||||||||
19 | Number of annual malaria deaths, postneonatal | 17,037 | Data on mortality in DRC in 2017, from the GBD Results Tool. | ||||||||||||||||||||
20 | Number of annual malaria deaths in IPTi age range | 14,714 | Adjusted for age range covered by IPTi. | ||||||||||||||||||||
21 | Number of annual malaria deaths, under 1 year of age | 19,405 | Data on mortality in DRC in 2017, from the GBD Results Tool. | ||||||||||||||||||||
22 | Ratio of malaria deaths in individuals over 1 year of age to malaria deaths in IPTi age range | 4.20 | |||||||||||||||||||||
23 | |||||||||||||||||||||||
24 | Mortality reduction in treated population | ||||||||||||||||||||||
25 | Effect on clinical malaria | ||||||||||||||||||||||
26 | Clinical malaria episodes relative risk (ITT effect) | 0.76 | Modified analysis based on Cochrane review. 0.76 [0.69, 0.83]; 9 studies, 10,308 participants. | ||||||||||||||||||||
27 | Coverage of IPTi in trials included in effect size on clinical malaria | 93% | IPTi coverage in Esu et al. 2019 underlying trials | ||||||||||||||||||||
28 | Adjustment for drug combination used | 1.0 | 7 of the 9 trials were using SP, the IPTi drug of choice. The effect size on the SP subgroup (0.78) is very close to the effect size including all 9 trials (0.76), so we don't adjust for drug combination used in the studies. | ||||||||||||||||||||
29 | Percentage reduction in clinical malaria among children receiving all doses | 26% | |||||||||||||||||||||
30 | Effective treatment coverage across all doses among children in targeted age range | 61% | Based on coverage achieved in Sierra Leone pilot. | ||||||||||||||||||||
31 | Percentage reduction in clinical malaria among children in targeted age range | 16% | Assuming a linear relationship between treatment effect and number of doses received | ||||||||||||||||||||
32 | |||||||||||||||||||||||
33 | IV/EV Adjustments | ||||||||||||||||||||||
34 | Internal validity adjustment | 0.95 | Subjective. See report for discussion of why we believe the research establishing effects on clinical malaria cases is of high quality. | ||||||||||||||||||||
35 | External validity adjustment | 0.90 | Adjusting for drug resistance. See reasoning behind EV adjustment. | ||||||||||||||||||||
36 | Percentage reduction in clinical malaria among children in targeted age range, after IV/EV adjustments | 13% | |||||||||||||||||||||
37 | |||||||||||||||||||||||
38 | Mortality reduction | ||||||||||||||||||||||
39 | Direct reduction in malaria deaths among treated population from hypothetical donation | 29 | Assumes malaria mortality is reduced by the same fraction as malaria episodes. This is what our cost-effectiveness analysis of seasonal malaria chemoprevention (SMC) does. See existing discussion. | ||||||||||||||||||||
40 | Ratio of indirect malaria deaths per direct malaria death | 50% | From Seasonal Malaria Chemoprevention (SMC) CEA | ||||||||||||||||||||
41 | Total malaria-attributable deaths prevented from hypothetical donation among treated population | 44 | |||||||||||||||||||||
42 | Units of value per postneonatal (1-12 months of age) death | 101 | See calculations for 2020 moral weights for under-1 and over-1 deaths from malaria. | ||||||||||||||||||||
43 | Total units of value from mortality reduction among targeted population | 4,448 | |||||||||||||||||||||
44 | |||||||||||||||||||||||
45 | Mortality reduction in untreated population | ||||||||||||||||||||||
46 | Malaria effect in untreated population as percentage of effect on treated | 43% | From SMC CEA | ||||||||||||||||||||
47 | Adjustment to account for higher proportion of people being covered in trial than in targeted population | 0.51% | See calculations and explanation of adjustment. | ||||||||||||||||||||
48 | Deaths averted in untreated population of over-1 year olds | 0.4 | |||||||||||||||||||||
49 | Value assigned to averting the death of individual over 1 year old from malaria | 113 | See calculations for 2020 moral weights for under-1 and over-1 deaths from malaria. | ||||||||||||||||||||
50 | Total units of value from mortality reduction among untargeted population | 46 | |||||||||||||||||||||
51 | |||||||||||||||||||||||
52 | Total deaths averted from hypothetical donation, before adjustments | 45 | |||||||||||||||||||||
53 | Total units of value generated from hypothetical donation, before adjustments | 4,494 | |||||||||||||||||||||
54 | |||||||||||||||||||||||
55 | Adjustments for excluded effects | ||||||||||||||||||||||
56 | Additional benefits | ||||||||||||||||||||||
57 | Adjustment for developmental effects | 138% | Assuming proportion of value coming from mortality vs. developmental effects is the same as in the SMC CEA. Not sure how this changes with different age distribution here. | ||||||||||||||||||||
58 | |||||||||||||||||||||||
59 | Other excluded effects | ||||||||||||||||||||||
60 | Malaria morbidity | 9% | |||||||||||||||||||||
61 | Short-term anemia effects | 9% | |||||||||||||||||||||
62 | Investment of income increases | 5% | |||||||||||||||||||||
63 | Rebound effects / decreased immunity development | -4% | |||||||||||||||||||||
64 | Effect on fertility | Not specified | |||||||||||||||||||||
65 | Treatment costs averted from prevention | 6% | |||||||||||||||||||||
66 | Subnational adjustments | 3% | |||||||||||||||||||||
67 | Marginal funding goes to lower priority areas | 0% | |||||||||||||||||||||
68 | Counterfactual mortality rates | -2% | |||||||||||||||||||||
69 | Serious adverse events due to side effects of treatment | -1% | |||||||||||||||||||||
70 | Failure to ingest drug | -4% | |||||||||||||||||||||
71 | Total adjustment factor for excluded effects | 123% | Adjustments taken from the SMC CEA. Excluded the adjustment for drug resistance, since that is accounted for in the external validity adjustment. | ||||||||||||||||||||
72 | Adjustments for excluded effects that impact cost per life saved | 94% | Only includes adjustments for excluded effects that directly affect mortality. | ||||||||||||||||||||
73 | |||||||||||||||||||||||
74 | Total adjustment factor for additional benefits and excluded effects | 169% | |||||||||||||||||||||
75 | Total units of value generated by hypothetical donation, after adjustments for excluded effects | 7,600 | |||||||||||||||||||||
76 | |||||||||||||||||||||||
77 | Downside adjustments | ||||||||||||||||||||||
78 | Risk of wastage | ||||||||||||||||||||||
79 | Double treatment | 0% | Seems unlikely that children are getting preventative treatment from another source. | ||||||||||||||||||||
80 | Ineffective goods | 0% | We guess that drugs will be purchased from World Health Organization-qualified manufacturers. | ||||||||||||||||||||
81 | Goods purchased and left in storage until they expire | 10% | To adjust for potential drug wastage. We would guess that drug wastage may be a bigger concern for a program implemented via technical assistance within health systems than for our top charities, since an implementer would have less direct control over drug procurement and delivery. Once we investigate specific funding opportunities, drug wastage would likely be incorporated explicitly into our cost estimates. | ||||||||||||||||||||
82 | Total adjustment for risk of wastage | 10% | |||||||||||||||||||||
83 | |||||||||||||||||||||||
84 | Quality of monitoring and evaluation | ||||||||||||||||||||||
85 | Misappropriation without monitoring results | 5% | Guess. Will depend on the M&E plan. | ||||||||||||||||||||
86 | False monitoring results | 5% | Guess. Will depend on the M&E plan. | ||||||||||||||||||||
87 | Total adjustment for quality of monitoring and evaluation | 10% | |||||||||||||||||||||
88 | |||||||||||||||||||||||
89 | Confidence in funds being used for intended purpose | ||||||||||||||||||||||
90 | Change of priorities | 0% | Guess. | ||||||||||||||||||||
91 | Non-funding bottlenecks | 0% | Guess. | ||||||||||||||||||||
92 | Within-org fungibility | 0% | Guess. Our impression is that it's unlikely charities would receive funding for IPTi in the short term from other funders. | ||||||||||||||||||||
93 | Total adjustment for confidence in funds being used for intended purpose | 0% | |||||||||||||||||||||
94 | |||||||||||||||||||||||
95 | Total downside adjustment factor | 80% | |||||||||||||||||||||
96 | Total adjustments from downside adjustments and excluded effects | 135% | |||||||||||||||||||||
97 | |||||||||||||||||||||||
98 | Cost-effectiveness | ||||||||||||||||||||||
99 | Cost-effectiveness in multiples of cash transfers | ||||||||||||||||||||||
100 | Total units of value generated by hypothetical donation, after all adjustments | 6,080 |