Mass Media BOTECs [WIP]

	A	B	C	D	E	I
1	Parameter name		Unit	Source	Notes
2	Disease and demographic parameters					Assumptions and limitations
3	Disability weight for diarrheoa	0.188	weight	GBD weights
4	Percent of < 5YO suffer diarrhoea per year	3.90%	%	https://vizhub.healthdata.org/gbd-results/		* Does not include additional benefits from increasing rates of attending ANC appointments/ births in health facilities.
5	Percent of children with diarrhoea seek out treatment in absence of intervention	63%	%	DHS		* Does not include long term benefits, so may underestimate total benefit
6	Mortality rate diarrheoa <5 YO	0.06	rate	https://vizhub.healthdata.org/gbd-results/	Used death and prevlance numbers for diarrhoeal diseases in Burkina Faso <5 YO. Note this is for diarrheal diseases specifically, not any occurence of diarrhoea
7	Disability weight for lower respiratory infection	0.051	weight	GBD weights
8	Percent of < 5YO who suffer lower respiratory infection per year	0.23%	%	DHS Graph 8 (note it's in French). Divided by two since it is 15% in the 2 years prior to interview
9	Percent of children with lower respiratory infection who seek out treatment in absence of intervention	80%	%	DHS
10	Mortality rate lower respiratory infections < 5YO	0.2	rate	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122747/#:~:text=7.4.,-5%20Case%20Fatality&text=Case%20fatality%20ratios%20for%20acute,%E2%80%93142%5D%20in%20developing%20countries.	The GBD estimates place a higher number of deaths than overall prevlance, in burkina faso? I therefore used paper instead, this is in 7.4.5. ('in developing countries').
11	Percent of <5YO who have malaria	35.65%	%	https://vizhub.healthdata.org/gbd-results/
12	Percent of children with malaria that seek out treatment in absence of intervention	75%	%	https://dhsprogram.com/pubs/pdf/PR139/PR139.pdf graph 8 (in french)	Not sure about this estimate, I used the percent of children with fever whose parents seek out treatment
13	Disability weight for malaria	0.051	weight	GBD weights	Weight for moderate malaria
14	Mortality rate malaria <5 YO	0.0118	rate	https://vizhub.healthdata.org/gbd-results/	Used death and prevlance numbers for malaria in Burkina Faso <5 YO
15	Lifespan Burkina Faso	62	years	https://data.worldbank.org/indicator/SP.DYN.LE00.IN?locations=BF
16	Infant mortality rate in Burkina Faso	5.30%	%	https://data.worldbank.org/indicator/SP.DYN.IMRT.IN?locations=BF
17	Total fertility rate for women in Burkina Faso	5	No. children	https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=BF
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19	Intervention parameters
20	Total number of people reached per year	2400000	No	page 2
21	Number of <5YO reached per year	480000	No	page 2
22	% increase in consultations for malaria	42.60%	%	This is the difference between the control and intervention arms, averaged across 3 years. 'Analysis of health facility consultation data' section	I assume a campaign would not last >3 years
23	% increase in consultations for lower resp infections	25%	%	This is the difference between the control and intervention arms, averaged across 3 years. 'Analysis of health facility consultation data' section	I assume a campaign would not last >3 years
24	% increase in consultations for diarrheoa	80%	%	This is the difference between the control and intervention arms, averaged across 3 years. 'Analysis of health facility consultation data' section	I assume a campaign would not last >3 years
25	Generalisability discount for RCT	0.55	proportion	I am discounting because 1). other regions might not be so amenable to this kind of intervention (rural, cheap radio access, people who lvie within easy walking district of a clinic) and 2). the RCT used a saturation+ design, with high coverage of the radio program. A real situation would likely not achieve as high a coverage. 3). surveyors were not blinded 4). perhaps the most ill kids (who stand to benefit most from treatment) would have recieved clinic treatment anyway- i.e. many the increase in consultations is for kids who are mildly ill
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27	Reduction in DALYs due to treatment: diarrhoea	50%	%	Subjective estimate	Couldn't find data. I am assuming that available treatment is not perfect, doesn't always work, isn't always available etc
28	Reduction in DALYs due to treatment: malaria	50%	%	Subjective estimate	Assuming that available treatment is not perfect, doesn't always work, isn't always available etc
29	Reduction in DALYs due to treatment: lower respiratiory infections	50%	%	Subjective estimate	Assuming that available treatment is not perfect, doesn't always work, isn't always available etc
30	Reduction in death to to treatment: malaria	70%	%	Subjective estimate	I think that treatment will be more successful in avoiding death (relative to reducing DALYs)
31	Reduction in death due to treatment: diarrhoea	70%	%	Subjective estimate	I think that treatment will be more successful in avoiding death (relative to reducing DALYs)
32	Reduction in death due to treatment: lower respiratory infections	70%	%	Subjective estimate	I think that treatment will be more successful in avoiding death (relative to reducing DALYs)
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34	Costs		Unit	Source	Notes
35	Recurring costs
36	Airtime	71216	$	Supplementary material Table G
37	Rent and utilities	109946	$	Supplementary material Table G
38	Supplies	255790	$	Supplementary material Table G
39	Travel	242231	$	Supplementary material Table G
40	Personnel	1429020	$	Supplementary material Table G
41
42	Capital costs
43	Radio station equipment	21209	$	Supplementary material Table G
44	NGO office/ media production equipment	59231	$	Supplementary material Table G
45	Vehicles	16438	$	Supplementary material Table G
46
47	Calculations
48	Illness/ death stemming from diarrhoea
49	Number of children who get diarrheoa per year	18720	No
50	Number children suffering from diarrhoea who get treatment, WO intervention	11793.6	No
51	Number children who newly seek out treatment	9434.88	No
52	DALYs averted, by treating more diarrhoea cases	887	No	disability weight of diarrhoea x number who newly get treatment x reduction in DALYs from getting treated
53	Number of child diarrhoea deaths averted	396.26496	No	mortality rate of diarrhoea x reduction in death from getting treatment x number of children newly treated
54
55	Illness/ death stremming from lower respiratory infections
56	Number of children who get lower respiratory infections per yr	1104	No
57	Number of children suffering from resp infections who get treatment, W/O intervention	883.2	No
58	Number of children who newly seek out treatment	220.8	No
59	DALYs averted, by treating more resp infections	5.6304	No
60	Number of child resp infections deaths averted	30.912	No
61
62	Illness/ death stemming from malaria
63	Number of children who get malaria per year	171120	No
64	Number of children suffering from malaria who get treatment, W/O intervention	128340	No
65	Number children who newly seek out treatment	54672.84	No
66	DALYs averted, by treating more malaria cases	1394.15742	No
67	Number of child malaria deaths averted	451.5976584	No
68
69	Cost effectiveness
70	Total DALYs averted from preventing illness (not inc those from averting deaths), with generalisability discount	1028.999943	No	Doesn't include DALYs from averting childhood deaths
71	Total number of childhood deaths averted, with generalisability discount	395.4485783	No
72	Number of DALYs from averting childhood death, inc discount	27800.86869	DALY equivalents	Using DALY/ lives saved conversion
73	Total no. WELLBY-equivalents, inc discount	96239.36711	WELLBY equivalents	Using 1 DALY = 3.6 WELLBY conversion
74	Total costs	3381381	$	Table 1, total costs (annual costs, average over study period column)
75	Total recurring costs	2108203	$
76	$/ WELLBY (capital plus recurring costs)	35.1351126	$/WELLBY
77	$/DALY (capital plus recurring costs)	121.6286094	$/DALY
78	GD multiples	4.667695302	GDX	$164 per WELLBY for GD
79		8550.747646
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