Evidence map›Paper›PMID 34888885›Full record

ArticleAnnals of the New York Academy of Sciences2022

Comparing estimated cost-effectiveness of micronutrient intervention programs using primary and secondary data: evidence from Cameroon.

Katherine P Adams, Hanqi Luo, Stephen A Vosti, Justin Kagin, Ismael Ngnie-Teta, Alex Ndjebayi, Jules Guintang Assiene, Reina Engle-Stone

Abstract read
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Article in Annals of the New York Academy of Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

8 authors.

Katherine P AdamsInstitute for Global Nutrition, Department of Nutrition, University of California, Davis, Davis, California.ORCID 0000-0002-1060-2473
Hanqi LuoInstitute for Global Nutrition, Department of Nutrition, University of California, Davis, Davis, California.
Stephen A VostiDepartment of Agricultural and Resource Economics, University of California, Davis, Davis, California.ORCID 0000-0001-8928-5396
Justin KaginKagin's Consulting, Vacaville, California.
Ismael Ngnie-TetaHelen Keller International, Yaoundé, Cameroon.ORCID 0000-0002-6126-9148
Alex NdjebayiHelen Keller International, Yaoundé, Cameroon.
Jules Guintang AssieneHelen Keller International, Yaoundé, Cameroon.
Reina Engle-StoneInstitute for Global Nutrition, Department of Nutrition, University of California, Davis, Davis, California.ORCID 0000-0003-2446-6166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing a cost-effective portfolio of micronutrient intervention programs is complex and generally undertaken with limited data. We developed the MINIMOD-Secondary Data (MINIMOD-SD) tool, which uses household consumption and expenditure survey data and other secondary data to estimate apparent nutrient intakes and model the effectiveness and cost-effectiveness of micronutrient intervention programs. We present the SD tool methodology and results in the context of Cameroon, with a particular focus on vitamin A (VA) for children and folate for women of reproductive age (WRA). We compared the MINIMOD-SD tool estimates with those of the full MINIMOD tool, which uses 24-h dietary recall data. The SD tool consistently underestimated folate intake among women (median (IQR): 230 (143,352) versus 303 (244,367) μg dietary folate equivalents (DFEs)/day) and especially VA among children (141 (64,279) versus 227 (102,369)). Qualitatively, however, the two tools were generally consistent in predicted subnational patterns of micronutrient adequacy and identification of effective and cost-effective (cost per child/WRA moving from inadequate to adequate intake) interventions. Secondary data and the MINIMOD-SD tool can provide policymakers with information to qualitatively assess deficiency risks and identify cost-effective interventions. However, accurately quantifying individual-level deficiency or dietary inadequacy and intervention effectiveness and cost-effectiveness will likely require individual-level dietary data and biomarker measurements.

Indexed as

MicronutrientsVitamin A DeficiencyCameroonChildCost-Benefit AnalysisDietFemaleFolic AcidHumansMaleVitamin AFolic AcidMicronutrientsVitamin A24-h dietary recallCamerooncost-effectivenesshousehold consumption and expenditure surveymicronutrient interventions

Identifiers

PMID34888885
PMCPMC9299899

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LicenceCC BY
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Registered trials

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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.