Evidence map›Paper›PMID 25523494›Full record

ArticleHealth services research2015

Assessing Diabetes Care Disparities with Ambulatory Care Quality Measures.

Jennifer M Joseph, Pamela Jo Johnson, Douglas R Wholey, Mary L Frederick

Abstract read
In one paragraph

Article in Health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Pilot of Community-Based Diabetes Self-Management Support for Patients at an Urban Primary Care Clinic.Diabetes spectrum : a publication of the American Diabetes Association · 2019
    Article
  4. Article
  5. Review
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.

Jennifer M JosephSchool of Public Health, Division of Health Policy & Management, University of Minnesota, 420 Delaware St. SE, MMC 729, Minneapolis, MN, 55455.
Pamela Jo JohnsonCenter for Spirituality and Healing, University of Minnesota, Minneapolis, MN.
Douglas R WholeyDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN.
Mary L FrederickAllina Health Clinics, Diabetes Education, Minneapolis, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify and describe racial/ethnic disparities in overall diabetes management. DATA SOURCE/STUDY

settingElectronic health record data from calendar year 2010 were obtained from all primary care clinics at one large health system in Minnesota (n = 22,633). STUDY

designWe used multivariate logistic regression to estimate the odds of achieving the following diabetes management goals: A1C <8 percent, LDL cholesterol <100 mg/dl, blood pressure <140/90 mmHg, tobacco-free, and daily aspirin. PRINCIPAL

findingsBlacks and American Indians have higher odds of not achieving all goals compared to whites. Disparities in specific goals were also found.

conclusionsAlthough this health system has above-average diabetes care quality, significant disparities by race/ethnicity were identified. This underscores the importance of stratifying quality measures to improve care and outcomes for all.

Indexed as

AdolescentAdultAgedAmbulatory CareAspirinCholesterol, LDLDiabetes MellitusElectronic Health RecordsEthnicityFemaleGlycated HemoglobinHealthcare DisparitiesHealth Services AccessibilityHumansMaleMiddle AgedAspirinCholesterol, LDLGlycated Hemoglobincardiovascular risk factorscomposite quality measuresDiabetesminority healthracial/ethnic disparities

Identifiers

PMID25523494
PMCPMC4545357

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.