Evidence map›Paper›PMID 27271061›Full record

ArticleJournal of racial and ethnic health disparities2016

Patient-Provider Social Concordance and Health Outcomes in Patients with Type 2 Diabetes: a Retrospective Study from a Large Federally Qualified Health Center in Connecticut.

Kimberley Kurek, Bridget E Teevan, Ianita Zlateva, Daren R Anderson

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Article in Journal of racial and ethnic health disparities, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

4 authors.

Kimberley KurekSquirrel Hill Health Center, 4516 Browns Hill Road, Pittsburgh, PA, USA. kimberleykurek@gmail.com.
Bridget E TeevanWeitzman Institute, Community Health Center, Inc., 631 Main Street, Middletown, CT, USA.
Ianita ZlatevaWeitzman Institute, Community Health Center, Inc., 631 Main Street, Middletown, CT, USA.
Daren R AndersonWeitzman Institute, Community Health Center, Inc., 631 Main Street, Middletown, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was conducted to better understand the relationship between patient-provider social concordance and cardiovascular risk factor control in patients with type 2 diabetes.

methodsA retrospective study was conducted on adult patients with type 2 diabetes receiving care at Community Health Center, Inc. between July 1, 2012, and June 30, 2013. We utilized a composite score comprised of four social dimensions-age, gender, language, and race/ethnicity-to determine patient-provider social concordance (SC) and used binary logistic regression to relate SC and other potentially influential covariates with cardiovascular outcomes of interest (HgA1c, LDL, BP control).

resultsPatients were more likely to have uncontrolled BP if they were in low or medium SC dyads with their providers (OR = 0.689, 95 % CI = 0.480, 0.989; OR = 0.673, 95 % CI 0.486, 0.931), and they were more likely to have controlled BP and LDL in the setting of care continuity with a regular provider (OR = 1.069, 95 % CI 1.005, 1.136; OR = 1.113, 95 % CI 1.048, 1.182).

conclusionsCertain health outcomes may be susceptible to patient-provider social concordance or discordance. Continuity of care may serve a protective role in offsetting effects of patient-provider social mismatching.

Indexed as

Patient Reported Outcome MeasuresPhysician-Patient RelationsAdultAgedCardiovascular DiseasesConnecticutDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsCardiovascular risk factor controlPatient-provider relationshipSocial concordanceType 2 diabetes

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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.