Evidence map›Paper›PMID 27440979›Full record

ArticleEthnicity & disease2016

A Strategic Framework for Utilizing Late-Stage (T4) Translation Research to Address Health Inequities.

Maria Lopez-Class, Emmanuel Peprah, Xinzhi Zhang, Peter G Kaufmann, Michael M Engelgau

Abstract read
In one paragraph

Article in Ethnicity & disease, 2016. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Maria Lopez-ClassCenter for Translation Research and Implementation, National Institutes of Health.
Emmanuel PeprahCenter for Translation Research and Implementation, National Institutes of Health.
Xinzhi ZhangNational Institute on Minority Health and Health Disparities, National Institutes of Health.
Peter G KaufmannDivision of Cardiovascular Sciences, National Heart, Lung and Blood Institute, National Institutes of Health.
Michael M EngelgauCenter for Translation Research and Implementation, National Institutes of Health.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving health equity requires that every person has the opportunity to attain their full health potential and no one is disadvantaged from achieving this potential because of social position or other socially determined circumstances. Inequity experienced by populations of lower socioeconomic status is reflected in differences in health status and mortality rates, as well as in the distribution of disease, disability and illness across these population groups. This article gives an overview of the health inequities literature associated with heart, lung, blood and sleep (HLBS) disorders. We present an ecological framework that provides a theoretical foundation to study late-stage T4 translation research that studies implementation strategies for proven effective interventions to address health inequities.

Indexed as

Health EquityHealth Status DisparitiesSocioeconomic FactorsHealth StatusHumansNoncommunicable DiseasesVulnerable PopulationsFrameworkHealth InequitiesTranslation Research

Identifiers

PMID27440979
PMCPMC4948806

What OpenQuestion holds

Textmetadata
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.