Evidence map›Paper›PMID 35117118›Full record

ArticleTranslational cancer research2019

Assessing patient navigation as a tool to address equity in cancer early detection.

Janet Brown, Randi E Kaufman, Molly Ariail, Donna L Williams

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2019. 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
0.2field-weighted citation impact, top 39% of its field
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, 5 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Janet BrownDepartment of Behavioral and Community Health Sciences, Louisiana State University Health New Orleans School of Public Health, New Orleans, LA, USA.
Randi E KaufmanDepartment of Health Policy and Systems Management, Louisiana State University Health New Orleans School of Public Health, New Orleans, LA, USA.
Molly AriailDepartment of Behavioral and Community Health Sciences, Louisiana State University Health New Orleans School of Public Health, New Orleans, LA, USA.
Donna L WilliamsDepartment of Behavioral and Community Health Sciences, Louisiana State University Health New Orleans School of Public Health, New Orleans, LA, USA.
Louisiana State University Health Sciences Center New Orleans · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Louisiana Breast and Cervical Health Program (LBCHP) provides breast and cervical cancer screenings at no cost to about 5,000 low-income women per year. LBCHP was designed to increase access to cancer screenings for low-income women, a traditionally underserved population. A main program component is the provision of patient navigation services. Patient navigation provides extra layers of patient-centered education and resources to assist with screening completion. Both rural and racial/ethnic minority populations are underserved and have benefited from patient navigation. The purpose of this study was to establish estimates of LBCHP's eligible population and to measure the effect of patient navigation in reducing racial/ethnic and geographic (e.g., rural) inequities in cancer early detection.

methodsThis study analyzed program data from patients who received navigation services resulting in cervical and breast cancer screenings between July 01, 2016 and June 30, 2018. We used the combination of U.S. Census Bureau's Small Area Health Insurance Estimates 2016 and the American Community Survey 2017 to calculate the number of eligible women by race/ethnicity and by parish (county). We used the 2010 Census to estimate the distribution of the rural population by city and parish. Using patient addresses, residences were categorized into urban, suburban and rural.

resultsThe population of women ages 21-64 years in Louisiana is 1.3 million and almost half (46.7%) live at or under 250% of the federal poverty level (FPL). The poverty rate is much higher among LBCHP's racial/ethnic minorities: 65.1% among Blacks and 58.5% among Latinx as compared to 35.5% among Whites. To be racially/ethnically equitable, LBCHP would aim to have the following client distribution: at least 47% Black and 5% Latinx. The population LBCHP served was 47% Black and 18% Latinx. While 27% of Louisiana is rural, only 17% of LBCHP's women served are from rural areas. In contrast, 61% of the state is urban, while 72% of LBCHP's women served live in urban areas. LBCHP's clients had excellent follow-up rates after abnormal screening test results with well over 95% of all racial/ethnic groups having completed follow-up. Latinxs had a higher percentage of abnormal results than Blacks and Whites.

conclusionsThis study showed that LBCHP is achieving racial/ethnic equity in the client population that is served through patient navigation with LBCHP's largest reach among the Latinx population. In addition, once clients receive screening, they have excellent follow-up rates for any abnormalities. Because LBCHP's program goals include serving a high number of women, an unintended consequence is that LBCHP's rural population is underserved.

Indexed as

Cancer early detectioncancer screeningpatient navigationracial/ethnic minoritiesunderserved populations

Identifiers

PMID35117118
PMCPMC8799019
OpenAlexW4232930378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.