Evidence map›Paper›PMID 19927015›Full record

ArticleMedical care2010

Quality of care for cardiometabolic disease: associations with mental disorder and rurality.

Nancy E Morden, Ethan M Berke, Deborah E Welsh, John F McCarthy, Todd A Mackenzie, Amy M Kilbourne

Abstract read
In one paragraph

Article in Medical care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

6 authors.

Nancy E MordenDepartment of Community and Family Medicine, Dartmouth Medical School, Hanover, NH, USA. Nancy.e.morden@dartmouth.edu
Ethan M Berke
Deborah E Welsh
John F McCarthy
Todd A Mackenzie
Amy M Kilbourne

Funding

Implementing Chronic Care Management for Bipolar DisorderR01MH079994 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KILBOURNE, AMY M · 2008 to 2012
$3.3M
NIMH NIH HHS R01 MH079994
6 · The paper itself

Abstract

backgroundThis study examines quality of cardiometabolic care among veterans receiving care in the Veterans Affairs (VA) health system. We assess whether quality of care disparities by mental disorder status are magnified for individuals living in rural areas. RESEARCH

designWe identified all patients in a 2005 national Veterans Administration cardiometabolic quality of care chart review. The intersection of this cohort and VA registries, that include patients with and without mental disorder, permitted identification of chart review patients with and without mental disorder. Using residential ZIP code, patients were assigned to rural-urban commuting area codes. We used logistic regression adjusting for age, demographics, comorbidities, and income. MEASURES: We assessed association between rural residence and 9 cardiometabolic care quality indicators including care processes and intermediate outcomes.

resultsCompared with those without mental disorder, patients with mental disorder were less likely to receive diabetes sensory foot exams (OR: 0.82; 95% CI: 0.72-0.94), retinal exams (OR: 0.82; 95% CI: 0.73-0.93), and renal tests (OR: 0.79; CI: 0.74-0.90). Rural residence was associated with no differences in quality measures. Primary care visit volume was associated with significantly greater likelihood of obtaining diabetic retinal examination and renal testing, but did not explain disparities among patients with mental disorder.

conclusionsMental disorder is associated with lesser attainment of quality cardiometabolic care. In this integrated VA care system, rurality and visit volume did not explain this disparity. Other explanations for disparities must be explored to improve the health and health care of this population.

Indexed as

Mental DisordersAgedDiabetes MellitusHumansHypertensionLogistic ModelsMiddle AgedPrimary Health CareQuality of Health CareRural PopulationUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID19927015
PMCPMC4057647

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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.