Evidence map›Paper›PMID 25797962›Full record

ArticleHuman organization

Changing Diagnostic and Treatment Criteria for Chronic Illness: A Critical Consideration of their Impact on Low-Income Hispanic Patients.

Linda M Hunt, Meta Kreiner, Fredy Rodriguez-Mejia

Open access · greenAbstract read
In one paragraph

Article in Human organization. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 87% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Linda M HuntDepartment of Anthropology, Michigan State University, East Lansing, MI.
Meta KreinerDepartment of Anthropology, Michigan State University, East Lansing, MI.
Fredy Rodriguez-MejiaDepartment of Anthropology, Michigan State University, East Lansing, MI.
Michigan State University · US

Funding

Clinicians' Concepts of Racial/Ethnic Differences in the Management of Chronic IlR01HG004710 · NHGRI · MICHIGAN STATE UNIVERSITY · PI HUNT, LINDA M · 2008 to 2010
$1.7M
NHGRI NIH HHS R01 HG004710
6 · The paper itself

Abstract

Low-income Hispanics are often identified as especially at risk for common chronic conditions like diabetes, and targeted for aggressive screening and treatment. Anthropologists and other social scientists have extensively explored barriers and facilitators to chronic illnesses management in minority populations, but have not yet considered the impact of recently lowered diagnostic and treatment thresholds on such groups. In this paper, we critically review recent changes in diabetes, hypertension and high cholesterol diagnostic and treatment standards which have dramatically increased the number of people being treated for these conditions. Drawing on an ethnographic study of chronic illness management in two Hispanic-serving clinics in the Midwest, we examine how these new standards are being applied, and consider the resulting health care challenges these Hispanic patients face. Our analysis leads us to question the value of promoting narrowly defined treatment goals, particularly when patients lack reliable access to the health care resources these goals require. While improving the health of low-income Hispanics is a worthwhile goal, it is important to consider whether these efforts may be promoting over-diagnosis and over-treatment, drawing them into an expensive chronic patient role with uncertain benefit.

Indexed as

Access to Health CareDiabetesHispanicsPharmaceuticals

Identifiers

PMID25797962
PMCPMC4365791
OpenAlexW2069542693

What OpenQuestion holds

Textmetadata
LicenceTDM
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.