Evidence map›Paper›PMID 30214920›Full record

ArticleJournal of patient experience2018

Ascribed Meaning of Disease Control: Perspectives of Patients With Type 2 Diabetes.

Laura M Girling, Sarah E Chard, J Kevin Eckert

Abstract read
In one paragraph

Article in Journal of patient experience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Laura M GirlingDepartment of Sociology, Anthropology, and Health Administration and Policy, Center for Aging Studies, University of Maryland, Baltimore County, MD, USA.
Sarah E ChardDepartment of Sociology, Anthropology, and Health Administration and Policy, Center for Aging Studies, University of Maryland, Baltimore County, MD, USA.
J Kevin EckertDepartment of Sociology, Anthropology, and Health Administration and Policy, Center for Aging Studies, University of Maryland, Baltimore County, MD, USA.

Funding

The Subjective Experience of Diabetes Among Urban Older AdultsR01AG041709 · NIA · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI ECKERT, JOHN KEVIN · 2012 to 2014
$1.3M
NIA NIH HHS R01 AG041709
6 · The paper itself

Abstract

backgroundContemporary treatment of type 2 diabetes mellitus (hereafter diabetes) heavily emphasizes "diabetes control," largely defined by measurable blood glucose parameters. Little is known about how people living with the condition themselves define diabetes control within the lived experience of their disease.

methodsAs part of a qualitative study investigating the subjective construction of diabetes, 83 in-depth interviews were conducted with African American and non-Hispanic white older adults. Using content analysis, 4237 pages of narrative data were analyzed to explore how informants conceptualized diabetes control.

findingsFour themes emerged from the data, describing varied understandings of diabetes control: (a) blood sugar regulation, (b) practicable treatment adherence, (c) bodily experience, and (d) degree of pharmaceutical need. Findings demonstrate that among persons with diabetes, the term diabetes control is multifaceted.

conclusionWhile clinical guidelines have established target blood glucose parameters as the standard indicator of diabetes control, persons with diabetes conveyed varied and diverse meanings situated within personal experiences. To foster empathetic and collaborative care, health-care providers tending to this population may consider integrating the emergent themes into communicative and treatment approaches.

Indexed as

controldiabeteshealth beliefsqualitative methods

Identifiers

PMID30214920
PMCPMC6134548

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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.