Evidence map›Paper›PMID 34164258›Full record

ArticleGlobal food security2021

Modelling the potential cost-effectiveness of food-based programs to reduce malnutrition.

Patrick Webb, Goodarz Danaei, William A Masters, Katherine L Rosettie, Ashley A Leech, Joshua Cohen, Mia Blakstad, Sarah Kranz, Dariush Mozaffarian, Global Nutrition and Policy Consortium

Open access · hybridAbstract read
In one paragraph

Article in Global food security, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Patrick WebbFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Goodarz DanaeiHarvard T.H. Chan School of Public Health, Boston, MA, USA.
William A MastersFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Katherine L RosettieFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Ashley A LeechFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Joshua CohenFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Mia BlakstadHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Sarah KranzFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Global Nutrition and Policy Consortium
Tufts University · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor quality diets contribute to malnutrition globally, but evidence is weak on the cost-effectiveness of food-based interventions that shift diets. This study assessed 11 candidate interventions developed through Delphi techniques to improve diets in India, Nigeria, and Ethiopia. A Markov simulation model incorporated time, individual-level, nutrition, and policy parameters to estimate health impacts and cost-effectiveness for reducing stunting, anaemia, diarrhea, and mortality in preschool children. At an assumed 80% coverage, interventions considered would potentially save between 0·16 and 3·20 years of life per child. The average cost-effectiveness ratio ranged from US$9 to US$2000 per life year saved. This approach, linking expert knowledge, known costs, and modelling, offers potential for estimating cost-effective investments for better informed policy choice where empirical evidence is limited.

Indexed as

Cost-effectivenessDietsFood-based interventionsHealthNutrition

Identifiers

PMID34164258
PMCPMC8202230
OpenAlexW3165188107

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.