Evidence map›Paper›PMID 29284695›Full record

ArticleGlobal health, science and practice2017

Maternal and Neonatal Directed Assessment of Technologies (MANDATE): Methods and Assumptions for a Predictive Model for Maternal, Fetal, and Neonatal Mortality Interventions.

Bonnie Jones-Hepler, Katelin Moran, Jennifer Griffin, Elizabeth M McClure, Doris Rouse, Carolina Barbosa, Emily MacGuire, Elizabeth Robbins, Robert L Goldenberg

Open access · diamondAbstract read
In one paragraph

Article in Global health, science and practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Bonnie Jones-HeplerRTI International, Research Triangle Park, NC, USA. bonniehepler@rti.org.
Katelin MoranRTI International, Research Triangle Park, NC, USA.
Jennifer GriffinRTI International, Research Triangle Park, NC, USA.
Elizabeth M McClureRTI International, Research Triangle Park, NC, USA.
Doris RouseRTI International, Research Triangle Park, NC, USA.
Carolina BarbosaRTI International, Research Triangle Park, NC, USA.
Emily MacGuireRTI International, Research Triangle Park, NC, USA.
Elizabeth RobbinsRTI International, Research Triangle Park, NC, USA.
Robert L GoldenbergDepartment of Obstetrics and Gynecology, Columbia University, New York, NY, USA.
RTI International · USColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal, fetal, and neonatal mortality disproportionately impact low- and middle-income countries, and many current interventions that can save lives are often not available nor appropriate for these settings. Maternal and Neonatal Directed Assessment of Technologies (MANDATE) is a mathematical model designed to evaluate which interventions have the greatest potential to save maternal, fetal, and neonatal lives saved in sub-Saharan Africa and India. The MANDATE decision-support model includes interventions such as preventive interventions, diagnostics, treatments, and transfers to different care settings to compare the relative impact of different interventions on mortality outcomes. The model is calibrated and validated based on historical and current rates of disease in sub-Saharan Africa and India. In addition, each maternal, fetal, or newborn condition included in MANDATE considers disease rates specific to sub-Saharan Africa and India projected to intervention rates similar to those seen in high-income countries. Limitations include variance in quality of data to inform the estimates and generalizability of findings of the effectiveness of the interventions. The model serves as a valuable resource to compare the potential impact of multiple interventions, which could help reduce maternal, fetal, and neonatal mortality in low-resource settings. The user should be aware of assumptions in evaluating the model and interpret results accordingly.

Indexed as

Fetal MortalityInfant MortalityMaternal-Child Health ServicesMaternal MortalityModels, TheoreticalAfrica South of the SaharaFemaleHealth Services ResearchHumansIndiaInfantInfant, NewbornPregnancy

Identifiers

PMID29284695
PMCPMC5752604
OpenAlexW2795384789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.