Evidence map›Paper›PMID 28296752›Full record

Observational studyMedicine2017

Racial/ethnic differences in obesity and comorbidities between safety-net- and non safety-net integrated health systems.

Bijal A Balasubramanian, Michael P Garcia, Douglas A Corley, Chyke A Doubeni, Jennifer S Haas, Aruna Kamineni, Virginia P Quinn, Karen Wernli, Yingye Zheng, Celette Sugg Skinner

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Understanding the hospital safety net Hospital resource limitations impact prostate cancer treatment beyond socioeconomic disparities.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025
    Article
  3. Safety-Net Primary Care and Endocrinology Clinicians' Knowledge and Perspectives on Screening for Nonalcoholic Fatty Liver Disease: A Mixed-Methods Evaluation.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Outcomes associated with use of thePreventive medicine reports · 2019
    Article
  11. Observational
  12. Observational
  13. Article
  14. Article
  15. 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

10 authors.

Bijal A BalasubramanianDepartment of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA Division of Research, Kaiser Permanente Northern California, Oakland, CA Department of Family Medicine and Community Health, and the Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA Group Health Research Institute, Seattle, WA Research & Evaluation Department, Kaiser Permanente Southern California, Pasadena, CA Department of Biostatistics and Biomathematics, Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA Department of Clinical Sciences and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical School, Dallas, TX.
Michael P Garcia
Douglas A Corley
Chyke A Doubeni
Jennifer S Haas
Aruna Kamineni
Virginia P Quinn
Karen Wernli
Yingye Zheng
Celette Sugg Skinner

Funding

Optimizing the use of colonoscopy for CRC screening in a large community-basedU54CA163262 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CORLEY, DOUGLAS ALLEN, DOUBENI, CHYKE ABADAMA · 2011 to 2017
$9.6M
Parkland-UT Southwestern PROSPR Center Colon Cancer Screening in a Safety netU54CA163308 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SKINNER, CELETTE SUGG · 2011 to 2017
$8.0M
PROSPR Statistical Coordinating Center (PSCC)U01CA163304 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BARLOW, WILLIAM E, THORNQUIST, MARK · 2011 to 2017
$7.5M
Penn Center for Innovation in Personalized Breast ScreeningU54CA163313 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ARMSTRONG, KATRINA, SCHNALL, MITCHELL D. · 2011 to 2017
$7.4M
Studying Colorectal Cancer Effectiveness of Screening Strategies (SuCCESS)U54CA163261 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CHUBAK, JESSICA · 2011 to 2017
$7.3M
NCI NIH HHS U01 CA163304NCI NIH HHS U54 CA163261NCI NIH HHS U54 CA163262NCI NIH HHS U54 CA163308NCI NIH HHS U54 CA163313
6 · The paper itself

Abstract

Previous research shows that patients in integrated health systems experience fewer racial disparities compared with more traditional healthcare systems. Little is known about patterns of racial/ethnic disparities between safety-net and non safety-net integrated health systems.We evaluated racial/ethnic differences in body mass index (BMI) and the Charlson comorbidity index from 3 non safety-net- and 1 safety-net integrated health systems in a cross-sectional study. Multinomial logistic regression modeled comorbidity and BMI on race/ethnicity and health care system type adjusting for age, sex, insurance, and zip-code-level incomeThe study included 1.38 million patients. Higher proportions of safety-net versus non safety-net patients had comorbidity score of 3+ (11.1% vs. 5.0%) and BMI ≥35 (27.7% vs. 15.8%). In both types of systems, blacks and Hispanics were more likely than whites to have higher BMIs. Whites were more likely than blacks or Hispanics to have higher comorbidity scores in a safety net system, but less likely to have higher scores in the non safety-nets. The odds of comorbidity score 3+ and BMI 35+ in blacks relative to whites were significantly lower in safety-net than in non safety-net settings.Racial/ethnic differences were present within both safety-net and non safety-net integrated health systems, but patterns differed. Understanding patterns of racial/ethnic differences in health outcomes in safety-net and non safety-net integrated health systems is important to tailor interventions to eliminate racial/ethnic disparities in health and health care.

Indexed as

Age FactorsBlack or African AmericanBody Mass IndexComorbidityCross-Sectional StudiesEthnicityFemaleHealthcare DisparitiesHealth Services AccessibilityHispanic or LatinoHumansLogistic ModelsMaleMiddle AgedObesityRacial Groups

Identifiers

PMID28296752
PMCPMC5369907

What OpenQuestion holds

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LicenceCC BY-ND
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Registered trials

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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.