An Investment Framework for Nutrition in Kenya : Reducing Stunting and Other Forms of Child Malnutrition
This paper builds on global experience and Kenya’s specific context to identify an effective approach to scaling up nutrition and provide an estimate of costs and benefits of key nutrition interventions. It is intended to help guide the selection o...
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| Format: | Working Paper |
| Language: | English en_US |
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World Bank, Washington, DC
2017
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| Online Access: | http://documents.worldbank.org/curated/en/437531489040369631/An-investment-framework-for-nutrition-in-Kenya-reducing-stunting-and-other-forms-of-child-malnutrition http://hdl.handle.net/10986/26282 |
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okr-10986-262822021-05-25T08:58:34Z An Investment Framework for Nutrition in Kenya : Reducing Stunting and Other Forms of Child Malnutrition Eberwein, Julia Dayton Kakietek, Jakub de Beni, Davide Moloney, Grainne Pereira, Audrey Akuoku, Jonathan Kweku Volege, Marjorie Matu, Sicily Shekar, Meera child nutrition stunting malnutrition interventions cost-effectiveness cost-benefit analysis nutrition financing This paper builds on global experience and Kenya’s specific context to identify an effective approach to scaling up nutrition and provide an estimate of costs and benefits of key nutrition interventions. It is intended to help guide the selection of the most cost-effective interventions as well as strategies for scaling up a package of interventions tailored to Kenya’s specific needs. The paper considers high-impact nutrition-specific interventions that largely rely on typical health sector delivery mechanisms. The authors estimate that the costs and benefits of implementing 11 critical nutrition-specific interventions will require a yearly public and donor investment of 76 million dollars. The expected benefits will be substantial: annually more than 455,000 disability adjusted life years (DALYs) will be averted, over 5,000 lives saved, and more than almost 700,000 cases of stunting among children under five averted. This investment will be very cost-effective with an estimated cost per DALY averted of 207 dollars cost per life saved of about 18,600 dollars and a cost per case of stunting averted of 135 dollars. Economic productivity can potentially increase by 458 million dollars over the productive lives of beneficiaries. However, the authors also calculate intermediate scale-up scenarios since it may not be feasible for the Government of Kenya or its partners to achieve full coverage in the near term. The authors compare the costs and benefits associated with three different scenarios: first, prioritizing counties, focusing the investment on counties with a high burden of stunting; second, prioritizing interventions, focusing on only a subset of the most effective interventions; and third, prioritizing both counties and interventions, delivering only the most effective subset of interventions to high-burden counties. The authors determined that the third scenario is the most cost-effective and least costly. Scaling up the most cost-effective interventions in 37 high-burden counties will avert almost 295,000 DALYs and save over 3,000 lives per year for an annual public and donor investment of 48 million dollars. 2017-03-15T22:07:12Z 2017-03-15T22:07:12Z 2016-12 Working Paper http://documents.worldbank.org/curated/en/437531489040369631/An-investment-framework-for-nutrition-in-Kenya-reducing-stunting-and-other-forms-of-child-malnutrition http://hdl.handle.net/10986/26282 English en_US Health, Nutrition and Population Discussion Paper; CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper Africa Kenya |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
child nutrition stunting malnutrition interventions cost-effectiveness cost-benefit analysis nutrition financing |
| spellingShingle |
child nutrition stunting malnutrition interventions cost-effectiveness cost-benefit analysis nutrition financing Eberwein, Julia Dayton Kakietek, Jakub de Beni, Davide Moloney, Grainne Pereira, Audrey Akuoku, Jonathan Kweku Volege, Marjorie Matu, Sicily Shekar, Meera An Investment Framework for Nutrition in Kenya : Reducing Stunting and Other Forms of Child Malnutrition |
| geographic_facet |
Africa Kenya |
| relation |
Health, Nutrition and Population Discussion Paper; |
| description |
This paper builds on global experience
and Kenya’s specific context to identify an effective
approach to scaling up nutrition and provide an estimate of
costs and benefits of key nutrition interventions. It is
intended to help guide the selection of the most
cost-effective interventions as well as strategies for
scaling up a package of interventions tailored to Kenya’s
specific needs. The paper considers high-impact
nutrition-specific interventions that largely rely on
typical health sector delivery mechanisms. The authors
estimate that the costs and benefits of implementing 11
critical nutrition-specific interventions will require a
yearly public and donor investment of 76 million dollars.
The expected benefits will be substantial: annually more
than 455,000 disability adjusted life years (DALYs) will be
averted, over 5,000 lives saved, and more than almost
700,000 cases of stunting among children under five averted.
This investment will be very cost-effective with an
estimated cost per DALY averted of 207 dollars cost per life
saved of about 18,600 dollars and a cost per case of
stunting averted of 135 dollars. Economic productivity can
potentially increase by 458 million dollars over the
productive lives of beneficiaries. However, the authors also
calculate intermediate scale-up scenarios since it may not
be feasible for the Government of Kenya or its partners to
achieve full coverage in the near term. The authors compare
the costs and benefits associated with three different
scenarios: first, prioritizing counties, focusing the
investment on counties with a high burden of stunting;
second, prioritizing interventions, focusing on only a
subset of the most effective interventions; and third,
prioritizing both counties and interventions, delivering
only the most effective subset of interventions to
high-burden counties. The authors determined that the third
scenario is the most cost-effective and least costly.
Scaling up the most cost-effective interventions in 37
high-burden counties will avert almost 295,000 DALYs and
save over 3,000 lives per year for an annual public and
donor investment of 48 million dollars. |
| format |
Working Paper |
| author |
Eberwein, Julia Dayton Kakietek, Jakub de Beni, Davide Moloney, Grainne Pereira, Audrey Akuoku, Jonathan Kweku Volege, Marjorie Matu, Sicily Shekar, Meera |
| author_facet |
Eberwein, Julia Dayton Kakietek, Jakub de Beni, Davide Moloney, Grainne Pereira, Audrey Akuoku, Jonathan Kweku Volege, Marjorie Matu, Sicily Shekar, Meera |
| author_sort |
Eberwein, Julia Dayton |
| title |
An Investment Framework for Nutrition in Kenya : Reducing Stunting and Other Forms of Child Malnutrition |
| title_short |
An Investment Framework for Nutrition in Kenya : Reducing Stunting and Other Forms of Child Malnutrition |
| title_full |
An Investment Framework for Nutrition in Kenya : Reducing Stunting and Other Forms of Child Malnutrition |
| title_fullStr |
An Investment Framework for Nutrition in Kenya : Reducing Stunting and Other Forms of Child Malnutrition |
| title_full_unstemmed |
An Investment Framework for Nutrition in Kenya : Reducing Stunting and Other Forms of Child Malnutrition |
| title_sort |
investment framework for nutrition in kenya : reducing stunting and other forms of child malnutrition |
| publisher |
World Bank, Washington, DC |
| publishDate |
2017 |
| url |
http://documents.worldbank.org/curated/en/437531489040369631/An-investment-framework-for-nutrition-in-Kenya-reducing-stunting-and-other-forms-of-child-malnutrition http://hdl.handle.net/10986/26282 |
| _version_ |
1764461592078974976 |