Evidence map›Paper›PMID 31037032›Full record

ArticleHealth services insights2019

The Chinatown Patient Navigation Program: Adaptation and Implementation of Breast and Cervical Cancer Patient Navigation in Chicago's Chinatown.

Melissa A Simon, Laura S Tom, Ivy Leung, Esther Wong, Eileen E Knightly, Daniel P Vicencio, Ann Yau, Karen Ortigara, XinQi Dong

Registry-linked trialAbstract read
In one paragraph

Article in Health services insights, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05544084 (Adaptation and Implementation of a Patient Navigation Program for Cervical Cancer Screening Across Contexts in Senegal), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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.

NCT05544084 narecruitingnot on this mapstarted 2023, after this paper: background citation

Adaptation and Implementation of a Patient Navigation Program for Cervical Cancer Screening Across Contexts in Senegal

TypeinterventionalSponsorUniversity of Illinois at ChicagoRan2023 to 2027Enrolled901ConditionsCervical Cancer, BehaviorArmsPatient Navigator Approach
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Melissa A SimonDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID https://orcid.org/0000-0001-9021-7315
Laura S TomDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Ivy LeungDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Esther WongChinese American Service League, Chicago, IL, USA.
Eileen E KnightlyUniversity of Illinois Hospital & Health Sciences System, Chicago, IL, USA.
Daniel P VicencioMercy Hospital & Medical Center, Chicago, IL, USA.
Ann YauMercy Hospital & Medical Center, Chicago, IL, USA.
Karen OrtigaraMercy Hospital & Medical Center, Chicago, IL, USA.
XinQi DongInstitute for Health, Health Care Policy, and Aging Research, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Research Education CoreU54CA203000 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI YANEZ, BETINA · 2015 to 2024
$12.4M
Multidisciplinary Clinical and Translational Science (MCTS) Program (UL1)UL1TR000150 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LLOYD-JONES, DONALD M · 2012 to 2013
$10.1M
Patient Navigation 2.0: Addressing the Challenge of Scaling Navigation through Checklist-based ImplementationR01CA163830 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SIMON, MELISSA A. · 2012 to 2024
$5.4M
2/2 - Suicide Prevention in Chinese Older AdultsR34MH100393 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DONG, XINQI, SIMON, MELISSA A. · 2014 to 2016
$546k
NCATS NIH HHS UL1 TR000150NCATS NIH HHS UL1 TR001422NCI NIH HHS R01 CA163830NCI NIH HHS U54 CA203000NIMH NIH HHS R34 MH100393
6 · The paper itself

Abstract

backgroundAs health care reform continues within the United States, navigators may play increasingly diverse and vital roles across the health care continuum. The growing interest in patient navigation programs for underserved populations calls for detailed descriptions of intervention components to facilitate implementation and dissemination efforts.

methodsIn Chicago's Chinatown, Chinese immigrant women face language, cultural, and access barriers in obtaining breast and cervical cancer screening and follow-up. These barriers spurred the research partnership between Northwestern University, the Chinese American Service League, Mercy Hospital & Medical Center, and Rush University Medical Center to formalize the Chinatown Patient Navigation Collaborative for adapting and implementing previously developed patient navigation models.

resultsIn this report, we describe the adaptation of patient navigation to build the Chinatown Patient Navigation Collaborative's community-based patient navigation program for breast and cervical cancer. We offer insights into the roles of community patient navigators in safety net hospital and underserved Chinese immigrant communities, and describe implications for patient navigation initiatives to maximize community benefits by improving access to health care for vulnerable populations.

conclusionsOur adaptation and implementation of a patient navigation intervention in Chicago's Chinatown illustrates promising approaches for future navigator research.

Indexed as

Asian Americanbreast cancercervical cancerChineseimplementation sciencepatient navigation

Identifiers

PMID31037032
PMCPMC6475834

What OpenQuestion holds

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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.