Evidence map›Paper›PMID 21422952›Full record

ArticleMedical care2011

Impact of comorbidity type on measures of quality for diabetes care.

Lechauncy D Woodard, Tracy Urech, Cassie R Landrum, Degang Wang, Laura A Petersen

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in Medical care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00302718 (RCT of Financial Incentives to Translate ALLHAT Into Practice), which is not on this map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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.

NCT00302718 nacompletednot on this map

RCT of Financial Incentives to Translate ALLHAT Into Practice

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2007 to 2012Enrolled83ConditionsHypertensionArmsPhysician-level financial incentives, Practice-level financial incentives, Physician- and practice-level financial incentives
3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Comorbidity Type and Health Care Costs in Type 2 Diabetes: A Retrospective Claims Database Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018
    Article
  10. Observational
  11. Article
  12. Review
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. The impact of concordant and discordant comorbidities on patient-assessed quality of diabetes care.Health expectations : an international journal of public participation in health care and health policy · 2015
    Article
  19. Observational
  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

5 authors.

Lechauncy D WoodardHealth Policy and Quality Program, Michael E. DeBakey VA Medical Center Health Services Research and Development Center of Excellence, and Section for Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA. woodard.lechauncy@va.gov
Tracy Urech
Cassie R Landrum
Degang Wang
Laura A Petersen

Funding

Financial Incentives to Translate ALLHAT into PracticeR01HL079173 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI PETERSEN, LAURA A · 2005 to 2011
$3.3M
HSRD VA I01 HX003868NHLBI NIH HHS R01 HL079173
6 · The paper itself

Abstract

objectiveStudies provide conflicting results about the impact of comorbid conditions on the quality of chronic illness care. We assessed the effect of comorbidity type (concordant, discordant, or both) on the receipt of guideline-recommended care among patients with diabetes. RESEARCH

designPatients were assigned to 1 of 4 condition groups: diabetes-concordant (hypertension, ischemic heart disease, hyperlipidemia), and/or diabetes-discordant (arthritis, depression, chronic obstructive pulmonary disease) conditions, or neither. We evaluated hemoglobin A1c, blood pressure, and low-density lipoprotein cholesterol readings at index and measured overall good quality of diabetes care, including a 6-month follow-up interval. We assessed the effect of condition group on overall good quality of care with logistic regression and generalized ordered logistic regression.

resultsWe assigned 35,872 patients to the diabetes comorbid condition groups, ranging from 2.0% in the discordant-only group to 58.0% in the concordant-only group. Patients with both types of conditions were more likely than those with no comorbidities to receive overall good quality for glycemic [odds ratio (OR), 2.13; 95% confidence interval (CI), 1.86-2.41], blood pressure (OR, 1.62; 95% CI, 1.40-1.84), and low-density lipoprotein cholesterol (OR, 3.57; 95% CI, 3.08-4.05) control within 6 months of an index visit. They were also more likely to receive overall good quality for all 3 quality measures combined (OR, 2.17; 95% CI, 1.96-2.39).

conclusionsPatients with the greatest clinical complexity were more likely than less complex patients to receive high quality diabetes care, suggesting that increased complexity does not necessarily predispose chronically ill patients to receiving poorer care. However, caution should be used in treating certain patient groups, such as the elderly, for whom adherence to multiple condition-specific guidelines may lack benefit or cause harm.

Indexed as

Quality Indicators, Health CareAdultAgedAmbulatory Care FacilitiesArthritisComorbidityDepressionDiabetes ComplicationsDiabetes Mellitus, Type 2Disease ManagementFemaleHealth Services AccessibilityHumansHypertensionMaleMiddle Aged

Identifiers

PMID21422952
PMCPMC3366691

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.