Evidence map›Paper›PMID 28459820›Full record

ArticlePloS one2017

Barriers to care in patients with diabetes and poor glycemic control-A cross-sectional survey.

Kerry A McBrien, Christopher Naugler, Noah Ivers, Robert G Weaver, David Campbell, Laura Desveaux, Brenda R Hemmelgarn, Alun L Edwards, Nathalie Saad, David Nicholas and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Review
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  9. Article
  10. Disparities in Hemoglobin ADiabetes care · 2021
    Article
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  18. Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAPInternational journal of environmental research and public health · 2020
    Article
  19. Article
  20. Observational
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

11 authors at 4 institutions in 1 country.

Kerry A McBrienDepartment of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Christopher NauglerDepartment of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Noah IversDepartment of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada.
Robert G WeaverDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
David CampbellDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Laura DesveauxWomen's College Hospital, Toronto, Canada.
Brenda R HemmelgarnDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Alun L EdwardsDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Nathalie SaadDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
David NicholasFaculty of Social Work, University of Calgary, Calgary, Canada.
Braden J MannsDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
University of Calgary · CAAlberta Health Services · CAUniversity of Toronto · CAWomen's College Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo determine and quantify the prevalence of patient, provider and system level barriers to achieving diabetes care goals; and to examine whether barriers were different for people with poor glycemic control (HbA1c ≥ 10%; 86 mmol/mol) compared to fair glycemic control (7 to <8%; 53-64 mmol/mol).

methodsWe administered a survey by telephone to community-dwelling patients with diabetes, to examine patient-reported barriers and facilitators to care. We compared responses in individuals with HbA1c ≥ 10% (86 mmol/mol) against those with HbA1c between 7-8% (53-64 mmol/mol). We examined associations between HbA1c group and barriers to care, adjusting for sociodemographic factors and diabetes duration.

resultsThe survey included 805 people with HbA1c ≥ 10% (86 mmol/mol), and 405 people with HbA1c 7-8% (53-64 mmol/mol). Participants with HbA1c ≥ 10% (86 mmol/mol) reported good access to care, however 20% of participants with HbA1c ≥ 10% (86 mmol/mol) felt that their care was not well-coordinated and 9.6% reported having an unmet health care need. In adjusted analysis, patients with HbA1c ≥10% (86 mmol/mol) were more likely to report lack of confidence and inadequate social support, compared to patients with HbA1c 7-8% (53-64 mmol/mol). They were also significantly more likely not to have drug insurance nor to have received recommended treatments because of cost.

conclusionsThese results reinforce the importance of an individualized, yet multi-faceted approach. Specific attention to financial barriers seems warranted. These findings can inform the development of programs and initiatives to overcome barriers to care, and improve diabetes care and outcomes.

Indexed as

Health Services AccessibilityAgedAged, 80 and overAlbertaBiomarkersCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHypoglycemic AgentsInsurance, Pharmaceutical ServicesInterviews as TopicMaleMiddle AgedSelf CareBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic Agents

Identifiers

PMID28459820
PMCPMC5411045
OpenAlexW2610405354

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.