A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | |
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1 | RFF (over next 3 years) | 5,600,000.000 | Source | Notes | |||||||||||||||||||||
2 | |||||||||||||||||||||||||
3 | Hypothetical donation | 100,000.000 | $ | Suvita have a funding gap of approx. 200k (to the end of the year: but this is JUST to maintain current operations, not expand), but may get additional funding | |||||||||||||||||||||
4 | |||||||||||||||||||||||||
5 | Parameters | ||||||||||||||||||||||||
6 | Number of children reached by SMS, at end of 2021 | 450,000.000 | No. | Internal source | |||||||||||||||||||||
7 | Predicted additional no. of children reached by SMS, at end of 2022 (assuming funding gap met) | 250,000.000 | No. | Internal source | |||||||||||||||||||||
8 | Number of children reached by ambassadors, at end of 2021 | 11,057.000 | No. | Internal source | |||||||||||||||||||||
9 | Predicted additional children reached by ambassadors, at end of 2022 (assuming funding gap met) | 40,000.000 | No. | Internal source | |||||||||||||||||||||
10 | Number of pregnant women reached for antenatal care, at end of 2021 | 32,225.000 | No. | from email with Fiona Conlon to Rosie, Jun 23rd 2022 | |||||||||||||||||||||
11 | Predicted additional number of pregnant women reached for antenatal care, at end of 2022 | 27,775.000 | No. | from email with Fiona Conlon to Rosie, Jun 23rd 2022 | Could be underestimate: Fiona mentioned that they enrolled 32,225 women in 2021, are on track to hit 60,000+ in 2022 | ||||||||||||||||||||
12 | Total Suvita budget 2022 (this includes costing for the 'predicted additional' children/ women reached) | 520,000.000 | $ | Internal source | Note that the budget also includes sending SMS to the children who were reached in 2021, as well as the children who were newly reached in 2022. For the pregnant women, they are only contacted (for their ANC appointments specifically) for the year they are pregnant. | ||||||||||||||||||||
13 | Hypothetical donation as percentage of total 2022 budget | 0.192 | Proportion | ||||||||||||||||||||||
14 | |||||||||||||||||||||||||
15 | Effect size parameters (for SMS vaccine uptake, ambassador vaccine uptake, SMS antenatal appointment uptake) | ||||||||||||||||||||||||
16 | Percentage point increase in vaccination rates (SMS program) | 2.000 | PP | Internal source | You need to update the SMS/ ambassador sheet manually if this value is changed (aka where it says 0.002 near the top) | ||||||||||||||||||||
17 | Percentage point increase in vaccination rates (ambassador program) | 7.350 | PP | Internal source | You need to update the SMS/ ambassador sheet manually if this value is changed (aka where it says 0.002 near the top) | ||||||||||||||||||||
18 | Percentage point increase in antenatal healthcare appointments due to SMS reminders (with 50% discount) | 5.400 | PP | https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD007458.pub3/full | 10.8 without discount | ||||||||||||||||||||
19 | Percentage point decrease infant mortality through attending all 4 ANC appointments (with 66% discount) | 0.490 | PP | https://bmjopen.bmj.com/content/7/11/e017122 | I discounted to get the approximate decrease in attending all 4 ANC appointments. I discounted by 66% (rather than higher, e.g. 75%) because the Maharashtra state data shows that most women tend to attend either 0 or all 4 ANC appointments, and because this intervention gives text reminders before every ANC appointment. | ||||||||||||||||||||
20 | Percentage point decrease neonatal mortality through attending all 4 ANC appointments (with 66% discount) | 0.267 | PP | https://bmjopen.bmj.com/content/7/11/e017123 | I discounted to get the approximate decrease in attending all 4 ANC appointments. I discounted by 66% (rather than higher, e.g. 75%) because the Maharashtra state data shows that most women tend to attend either 0 or all 4 ANC appointments, and because this intervention gives text reminders before every ANC appointment. | ||||||||||||||||||||
21 | Percentage women who don't attend at least 4 ANC visits Maharashtra | 29.700 | percentage | NFHS-5, 2021 | the ANC reminders are in Maharashtra only | ||||||||||||||||||||
22 | Percentage neonatal mortality rate Maharashtra | 1.650 | percentage | the ANC reminders are in Maharashtra only | |||||||||||||||||||||
23 | Percentage infant mortality rate Maharashtra | 2.320 | percentage | the ANC reminders are in Maharashtra only | |||||||||||||||||||||
24 | |||||||||||||||||||||||||
25 | SMS Vaccine and Ambassador Vaccine: Calculations | ||||||||||||||||||||||||
26 | Total no. of children reached in 2022 for SMS vaccination reminder | 610,000.000 | No. | The last vaccines on the schedule are in the child's fifth year. So 1/5th of the children from the previous year 'graduate' out of the program | |||||||||||||||||||||
27 | Total no. of children reached in 2022 for ambassador vaccination reminder | 48,845.600 | No. | The last vaccines on the schedule are in the child's fifth year. So 1/5th of the children from the previous year 'graduate' out of the program | |||||||||||||||||||||
28 | No. of children reached by SMS as result of filling funding gap | 117,307.692 | No. | In reality, ambassador is more expensive than SMS. Here I average across these two interventions, just to get the average no. of children reached for funding gap. Here, I am estimating the no. of additional children reached by SMS as a result of filling the funding gap. So it's the proportion of the total 2022 budget that the funding gap represents, multiplied by the total no. of children reached by SMS in 2022 | |||||||||||||||||||||
29 | No. of children in Bihar reached by SMS as a result of filling funding gap | 70,384.615 | No. | When this is updated: remember to change this value in the 'SMS/Ambassador' sheet, it doesn't populate automatically. CTRL F 'cohort' is easy way to find correct cells. Atm, approx 60% of Suvita's SMS go to bihar. I have separated out by state, since the two states have different baseline levels of vaccination (so effect of SMS is different). This number automatically goes into the effect sheet. | |||||||||||||||||||||
30 | No. of children in Maharashtra by SMS as a result of filling funding gap | 46,923.077 | No. | When this is updated: remember to change this value in the 'SMS/Ambassador' sheet, it doesn't populate automatically. CTRL F 'cohort' is easy way to find correct cells. Atm approx 40% of suvita's SMS go to Maharashtra. I have separated out by state, since the two states have different baseline levels of vaccination (so effect of SMS is different). This number automatically goes into the effect sheet. | |||||||||||||||||||||
31 | No. of children reached by ambassador program as result of filling funding gap | 9,393.385 | No. | Note that the funding gap is not 'all or nothing': with less funding, Suvita will simply scale up on a smaller scale. I therefore worked out the additional no. of children that would be reached with $100000. Since I have the 2022 budget, this includes the cost of contining to message the children that are already enrolled (from 2021) and to add new children (aka who need to be enrolled). I have separated out by state, since the two states have different baseline levels of vaccination (so effect of SMS is different). This number goes into the effect sheet. | |||||||||||||||||||||
32 | No. of children in Bihar reached by ambassador program as a result of filling funding gap | 9,393.385 | No. | When this is updated: remember to change this value in the 'SMS/Ambassador' sheet, it doesn't populate automatically. CTRL F 'cohort' is easy way to find correct cells. atm all the ambassador program is in Bihar. I have separated out by state, since the two states have different baseline levels of vaccination (so effect of SMS is different). This number goes into the effect sheet. | |||||||||||||||||||||
33 | No. of children in Maharashtra reached by ambassador program as a result of filling funding gap | 0.000 | No. | When this is updated: remember to change this value in the 'SMS/Ambassador' sheet, it doesn't populate automatically. CTRL F 'cohort' is easy way to find correct cells. atm all the ambassador program in bihar, but i've kept this in for easy updating in subsequent years. | |||||||||||||||||||||
34 | No. of under-5 lives saved through vaccination (SMS reminder) | 37.448 | No. | Internal source | |||||||||||||||||||||
35 | No. of under-5 lives saved through vaccination (ambassador program) | 11.310 | No. | Internal source | when this is updated, remember to add (from the SMS/ ambassadaor: under 5 lives saved sheet) the lives saved in maharahstra from program there (since atm suvita don't use ambassaor in maharashtra, but i expect they will expand to do this soon) | ||||||||||||||||||||
36 | |||||||||||||||||||||||||
37 | Sanity check of SMS reminders effect on mortality (this doesn't go into cost-effectiveness) | ||||||||||||||||||||||||
38 | Increase in vaccination from intervention (percentage points) | 2.000 | This section doesn't go into cost effectiveness. I know it's ugly to keep here, but i think it's reassuring to show that the somewhat confusing SMS/ Ambassador model (inherited from Suvita/ Givewell) isn't overestimating | ||||||||||||||||||||||
39 | current vaccination rate (percent) | 72.250 | Averaged across Bihar and Maharashtra, from NFHS-5 | ||||||||||||||||||||||
40 | children getting vaccinated without intervention | 84,754.808 | |||||||||||||||||||||||
41 | children getting vaccinated with intervention | 87,100.962 | |||||||||||||||||||||||
42 | Extra children vaccinated | 2,346.154 | |||||||||||||||||||||||
43 | Children who would have died without program | 316.731 | McGovern and Canning 2015 | Uses mortality reduction rate from previous evaluation, inc their discount of 50% | |||||||||||||||||||||
44 | |||||||||||||||||||||||||
45 | Antenatal care: Calculations | ||||||||||||||||||||||||
46 | No. of additional pregnant women reached as result of filling funding gap in Maharshtra | 5,341.346 | No. | Similar to the 'no. of children reached by SMS as result of filling funding gap', but for antenatal appointments | |||||||||||||||||||||
47 | No. pregnant women who go to 4 ANC without program | 3,754.966 | No. | ||||||||||||||||||||||
48 | No. pregnant women who will go to 4 ANC with program | 4,043.399 | |||||||||||||||||||||||
49 | Extra women who go to 4 ANC with program | 288.433 | |||||||||||||||||||||||
50 | No. of these neonates that would die without program | 4.759 | No. | This maybe underestimates, since the baseline rate of neonatal mortality here is the overall rate (i.e. inc BOTH those who get ANC appointments and those who don't) | This is using the figure that I found (from review) that SMS reminders increases appointment attendance by approx. 14%. I use the benefit from attending ALL 4 ANC appointments, since text reminders are sent prior to each appointment. Note that neonate = new born. The infant mortality data (afaik) excludes neonates, so not a double count | ||||||||||||||||||||
51 | No. of these neonates that die with program | 3.346 | No. | ||||||||||||||||||||||
52 | No. of these infants that would have died without program | 6.692 | No. | ||||||||||||||||||||||
53 | No. of these infants that die in program | 5.278 | No. | ||||||||||||||||||||||
54 | Infants and neonates saved by program | 2.826 | No. | ||||||||||||||||||||||
55 | |||||||||||||||||||||||||
56 | Outcomes | ||||||||||||||||||||||||
57 | Total no. under 5 deaths averted by program | 51.584 | No | ||||||||||||||||||||||
58 | Total value from averting individual under 5 deaths | 12,447.306 | Value units | Moral weights | |||||||||||||||||||||
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60 | Overall cost-effectiveness | ||||||||||||||||||||||||
61 | Units of value per dollar spent | 0.124 | Value/$ | ||||||||||||||||||||||
62 | GD rating | 21.216 | GD multiples | GiveDirectly CEA | |||||||||||||||||||||
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