Evidence map›Paper›PMID 27227342›Full record

ArticleCancer2016

Racial and ethnic differences in patient navigation: Results from the Patient Navigation Research Program.

Naomi Y Ko, Frederick R Snyder, Peter C Raich, Electra D Paskett, Donald J Dudley, Ji-Hyun Lee, Paul H Levine, Karen M Freund

Abstract read
In one paragraph

Article in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
  2. Examining the Role of the Social Vulnerability Index in the Association between Race/Ethnicity and Breast Cancer Outcomes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  3. Article
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  5. An environmental scan and qualitative inquiry of cancer patient navigation services in North Carolina.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  15. Article
  16. Assessment of patient navigation programs for breast cancer patients across the city of Boston.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  17. Article
  18. Racial Disparities in Surgery: A Cross-Specialty Matched Comparison Between Black and White Patients.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2020
    Article
  19. Article
  20. 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

8 authors.

Naomi Y KoSection of Hematology Oncology, Boston University School of Medicine, Boston, Massachusetts.
Frederick R SnyderNOVA Research Company, Silver Spring, Maryland.
Peter C RaichDenver Health, Denver, Colorado.
Electra D PaskettDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine and Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-8247-8299
Donald J DudleyDepartment of Obstetrics and Gynecology, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
Ji-Hyun LeeUniversity of New Mexico Comprehensive Cancer Center, University of New Mexico School of Medicine, Albuquerque, New Mexico.
Paul H LevineThe George Washington University School of Public Health and Health Services, Washington, DC.
Karen M FreundInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
Chicago Cancer Navigation ProjectU01CA116875 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ROSEN, STEVEN TERRY · 2005 to 2011
$4.5M
RCT of Primary Care-based Patient Navigation-ActivationU01CA116924 · NCI · UNIVERSITY OF ROCHESTER · PI FISCELLA, KEVIN ANTHONY · 2005 to 2011
$4.4M
"Patient Navigation in the SafetyNet: CONNECTeDD"U01CA116892 · NCI · BOSTON MEDICAL CENTER · PI FREUND, KAREN · 2005 to 2010
$4.3M
DC City-wide Patient Navigation Research ProgramU01CA116937 · NCI · GEORGE WASHINGTON UNIVERSITY · PI PATIERNO, STEVEN R · 2005 to 2011
$4.1M
Improving Patient Outcomes Through System NavigationU01CA116903 · NCI · DENVER HEALTH AND HOSPITAL AUTHORITY · PI RAICH, PETER CHRISTIAN · 2005 to 2011
$3.8M
Patient Navigation Research ProgramU01CA116885 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DUDLEY, DONALD J · 2005 to 2010
$3.3M
Patient Navigator ProgramU01CA117281 · NCI · H. LEE MOFFITT CANCER CTR &RES INST · PI ROETZHEIM, RICHARD G · 2005 to 2009
$3.1M
Northwest Tribal Cancer Navigator ProgramU01CA116925 · NCI · NORTHWEST PORTLAND AREA INDIAN HLTH BD · PI WARREN-MEARS, VICTORIA ANN · 2005 to 2009
$3.0M
NCI NIH HHS P30 CA016058NCI NIH HHS U01 CA116875NCI NIH HHS U01 CA116885NCI NIH HHS U01 CA116892NCI NIH HHS U01 CA116903NCI NIH HHS U01 CA116924NCI NIH HHS U01 CA116925NCI NIH HHS U01 CA116937NCI NIH HHS U01 CA117281
6 · The paper itself

Abstract

backgroundPatient navigation was developed to address barriers to timely care and reduce cancer disparities. The current study explored navigation and racial and ethnic differences in time to the diagnostic resolution of a cancer screening abnormality.

methodsThe authors conducted an analysis of the multisite Patient Navigation Research Program. Participants with an abnormal cancer screening test were allocated to either navigation or control. The unadjusted median time to resolution was calculated for each racial and ethnic group by navigation and control. Multivariable Cox proportional hazards models were fit, adjusting for sex, age, cancer abnormality type, and health insurance and stratifying by center of care.

resultsAmong a sample of 7514 participants, 29% were non-Hispanic white, 43% were Hispanic, and 28% were black. In the control group, black individuals were found to have a longer median time to diagnostic resolution (108 days) compared with non-Hispanic white individuals (65 days) or Hispanic individuals (68 days) (P<.0001). In the navigated groups, black individuals had a reduction in the median time to diagnostic resolution (97 days) (P<.0001). In the multivariable models, among controls, black race was found to be associated with an increased delay to diagnostic resolution (hazard ratio, 0.77; 95% confidence interval, 0.69-0.84) compared with non-Hispanic white individuals, which was reduced in the navigated arm (hazard ratio, 0.85; 95% confidence interval, 0.77-0.94).

conclusionsPatient navigation appears to have the greatest impact among black patients, who had the greatest delays in care. Cancer 2016. © 2016 American Cancer Society. Cancer 2016;122:2715-2722. © 2016 American Cancer Society.

Indexed as

Healthcare DisparitiesPatient NavigationBlack or African AmericanFemaleFollow-Up StudiesHispanic or LatinoHumansMaleMiddle AgedNeoplasmsNeoplasm StagingPrognosisProportional Hazards ModelsRacial GroupsWhite Peoplecancerdisparitiespatient navigationrace and ethnicityscreening

Identifiers

PMID27227342
PMCPMC4992408

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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.