Evidence map›Paper›PMID 28275997›Full record

ArticleJournal of racial and ethnic health disparities2017

Caring by Numbers: Evaluation of Inconsistencies and Incompleteness in the Reporting of Racial and Ethnic Data.

Beth Marie Hartzler, Angela Snyder

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Beth Marie HartzlerCareSource, Dayton, OH, USA. beth.hartzler@caresource.com.
Angela SnyderCareSource, Dayton, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significant health disparities throughout the lifespan have long been evident within the American, non-White population. These differences include increased incidence of infant mortality, childhood hospitalization, diabetes, mental and behavioral health problems, cardiovascular disease, and late-stage cancer diagnoses. These types of disparities could be addressed by identifying those individuals at greatest risk for chronic disease or higher mortality rates and improving their health literacy and access to care. However, this is only possible if health management organizations and care providers have accurate racial and ethnic information. As an initial step at better understanding the problem, a survey of demographic data for Ohio Medicaid beneficiaries was conducted. The results of the study revealed inconsistencies and omissions in reported race and ethnicity for nearly 10% of records received from the state. This trend was most evident among older adults and those joining under the Affordable Care Act's Medicaid Expansion. Collectively, these results suggest that the first step in correcting health disparities may be to ensure that accurate information is available about the target population.

Indexed as

Health Status DisparitiesAdolescentAdultChildChild, PreschoolData CollectionEthnicityFemaleHumansIncidenceInfantInfant, NewbornMaleMedicaidMiddle AgedPatient Protection and Affordable Care ActACA ExpansionHealth disparitiesMedicaidRace/ethnicity

Identifiers

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.