KMC Cost Effectiveness
in Bahraich, India
A collaboration of r.i.c.e., PHI, and the Government of Uttar Pradesh to provide KMC to many very-low-birthweight babies, in a setting where the counterfactual is very limited care (not conventional intensive neonatal care).
Executive Summary
Preview of four estimates from four empirical strategies
Sources: KMC Bahraich estimates are computed ahove, in these slides. AMF from 2020 GiveWell cost effectiveness analysis — version 4
Two notes:
To understand our program, the first step is to refresh our understanding of what we use KMC for in our context.
The problem we address
We provide staffing to the hospital-based KMC program, record-keeping, management, and a program of home visits and phone calls to babies who go home.
Outline
before
same baby, after
How cost effective is our program at saving lives?
Cost-effectiveness, in general, is the product of these two dimensions.
Impact evaluations, like the Cochrane Review, only estimate lives saved per baby helped, and may not have external validity to the most constrained settings.
Our program helps many babies inexpensively.
As we will show, it has already helped more babies than all 8 Indian studies in the Cochrane Review combined, and more babies than in the largest Cochrane study.
Our program helps many babies inexpensively.
1/$434
(11.5 babies per week)
Cochrane studies deeply understate our effect per baby.
In this setting, preventable neonatal mortality is exceptionally high, by any standard. That is in part because very few of our babies would otherwise receive conventional care.
"Given that the control group in studies evaluating continuous KMC was kept in incubators or radiant warmers, the potential beneficial effects of KMC on morbidity and mortality of LBW infants would be expected to be greatest in settings in which conventional neonatal care is unavailable." (Authors conclusions p. 26)
Before we get into the details of our setting and program, let’s do a simple computation, using the Cochrane Review effect size of 0.6, to show that our basic cost effectiveness claim is plausible—even though we believe that the effect per baby is larger.
Ballpark estimate not using our own mortality numbers, instead using Cochrane Review’s estimate of a 0.6 relative risk, which is a 40% reduction
Counterfactual mortality * 0.4
So what is the counterfactual neonatal mortality rate for VLBW infants in a setting that lacks medical care for such babies?
What would neonatal mortality be without medical care?
That is hard to answer. Here are three population neonatal mortality rates for comparably disadvantaged babies that did receive some less-intensive medical care (which will bias against our cost-effectiveness).
0.133
0.2
0.233
An alternative approach that we are prepared to discuss uses babies for which birthweight is observed in the NFHS-5. The concern here is that babies who die are unlikely to be measured.
Ballpark estimate not using our own mortality numbers, instead using Cochrane Review’s estimate of a 0.6 relative risk, which is a 0.4 reduction
0.2 × 0.4
(NNM) (Cochrane)
1/$434
(11.5 babies per week)
The result is cost-effective, even using the Cochrane effect size, because background neonatal mortality is common and because many babies are helped.
0.08
1/$434
1/$5,424 =
But, in fact, we believe that our effect per baby is larger than 8 percentage points. So we prevent neonatal deaths at less than an average cost of $5,424 per death averted. The remaining slides explain why.
×
An alternative (older) systematic review uses only RCTs from low/middle income countries with <2,000g babies.
(0.2 × 0.51)
1/$434
1/$4,254 =
Because its effect size is larger (0.49 relative risk, or 51% reduction), this more-applicable study yields a more favorable cost-effectiveness estimate for our program, $4,254 per life saved.
×
With this background, we will build towards our own best estimates of cost effectiveness, by first discussing why our effect size is large and our number helped is large.
Here, we ignore the important benefits of early-life weight gain for the human capital of survivors, because we believe a strong enough case can be made with mortality, but we would be happy to add in these benefits if GiveWell is interested.
2. Why our effect-per-baby on neonatal mortality likely exceeds Cochrane
Because we observe the neonatal mortality rate in our program, the open question is how high neonatal mortality would be without our program. Evidence suggests it would be very high.
before
same baby, after
Counterfactual mortality is very high, reason 1 of 2:
Neonatal health is exceptionally poor in this part of India, relative to the full global distribution
Sources: CDC Wonder for US States, NFHS-5 for Indian states and Bahraich, UNICEF Child Mortality Estimation for other countries. We use most-recent rates for comparability.
Among all countries, only Lesotho (44 deaths per 1,000 births, pop. 2.1 million) has a neonatal mortality rate higher than Bahraich, a UP district of 3.6 million people and a neonatal mortality rate of 43 per 1,000.
settings of studies in Cochrane review
Counterfactual mortality is very high, reason 2 of 2:
Unlike in the Cochrane studies, these babies would not otherwise receive conventional neonatal intensive care
Representative quotations from Cochrane Review control groups:
In contrast, many of the babies in our study would otherwise go home without professional care or support, when able to breathe without support:
In summer 2021, we found that about a third of eligible babies died, as we expanded the number of dedicated beds and staff size.
Counterfactual: hypothermic at home
Now: KMC with mom
3. We help very many babies
before
same baby, after
Many, many very low birthweight babies are born in Bahraich
Our program excels at cost-effective throughput
Our program is already much larger than the size of the studies in the Cochrane review.
4. Our funding gap and upside potential
before
same baby, after
Our funding situation: We have almost no dedicated funds, we started without a funder, counting on EA to step up if we succeeded!
summer
2021
summer
2022
summer
2023
neonatal deaths prevented
Because we are asking for funds for variable, marginal costs of continuing to operate, lives saved is an approximately linear function of funding.
Inexpensive way of generating excellent upside potential
We invite conversation about funding a formal, matching-based econometric impact evaluation, which would require additional staff to collect data from comparable public hospitals.
Executive Summary (again)