Evidence map›Paper›PMID 37178432›Full record

ArticleBreast cancer research and treatment2023

Breast cancer treatment receipt and the role of financial stress, health literacy, and numeracy among diverse breast cancer survivors.

Ashley Odai-Afotey, Ruth I Lederman, Naomi Y Ko, Haley Gagnon, Tsion Fikre, Daniel A Gundersen, Anna C Revette, Dawn L Hershman, Katherine D Crew, Nancy L Keating and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 9 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

11 authors at 4 institutions in 1 country.

Ashley Odai-AfoteyDepartment of Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Ruth I LedermanSurvey and Qualitative Methods Core, Dana-Farber Cancer Institute, Boston, MA, USA.
Naomi Y KoSection of Hematology and Medical Oncology, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Haley GagnonDepartment of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA.
Tsion FikreSection of Hematology and Medical Oncology, Department of Medicine, Boston Medical Center, Boston, MA, USA.
Daniel A GundersenSurvey and Qualitative Methods Core, Dana-Farber Cancer Institute, Boston, MA, USA.
Anna C RevetteSurvey and Qualitative Methods Core, Dana-Farber Cancer Institute, Boston, MA, USA.
Dawn L HershmanDepartment of Medicine and Epidemiology, Columbia University Irving Medical Center, Herbert Irving Comprehensive Cancer Center, New York, NY, USA.
Katherine D CrewDepartment of Medicine and Epidemiology, Columbia University Irving Medical Center, Herbert Irving Comprehensive Cancer Center, New York, NY, USA.
Nancy L KeatingDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Rachel A FreedmanDepartment of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA. Rachel_freedman@dfci.harvard.edu.ORCID http://orcid.org/0000-0003-0460-674X
Dana-Farber Cancer Institute · USBoston Medical Center · USBrigham and Women's Hospital · USColumbia University Irving Medical Center · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Anil K Rustgi · 1985 to 2026
$115.3M
NCI NIH HHS P30 CA013696Susan G. Komen CCRCR18552788
6 · The paper itself

Abstract

purposeDisparities in breast cancer treatment for low-income and minority women are well documented. We examined economic hardship, health literacy, and numeracy and whether these factors were associated with differences in receipt of recommended treatment among breast cancer survivors.

methodsDuring 2018-2020, we surveyed adult women diagnosed with stage I-III breast cancer between 2013 and 2017 and received care at three centers in Boston and New York. We inquired about treatment receipt and treatment decision-making. We used Chi-squared and Fisher's exact tests to examine associations between financial strain, health literacy, numeracy (using validated measures), and treatment receipt by race and ethnicity.

resultsThe 296 participants studied were 60.1% Non-Hispanic (NH) White, 25.0% NH Black, and 14.9% Hispanic; NH Black and Hispanic women had lower health literacy and numeracy and reported more financial concerns. Overall, 21 (7.1%) women declined at least one component of recommended therapy, without differences by race and ethnicity. Those not initiating recommended treatment(s) reported more worry about paying large medical bills (52.4% vs. 27.1%), worse household finances since diagnosis (42.9% vs. 22.2%), and more uninsurance before diagnosis (9.5% vs. 1.5%); all P < .05. No differences in treatment receipt by health literacy or numeracy were observed.

conclusionIn this diverse population of breast cancer survivors, rates of treatment initiation were high. Worry about paying medical bills and financial strain were frequent, especially among non-White participants. Although we observed associations of financial strain with treatment initiation, because few women declined treatments, understanding the scope of impact is limited. Our results highlight the importance of assessments of resource needs and allocation of support for breast cancer survivors. Novelty of this work includes the granular measures of financial strain and inclusion of health literacy and numeracy.

Indexed as

Breast NeoplasmsCancer SurvivorsHealth LiteracyAdultFemaleFinancial StressHumansSurvivorsBreast cancerFinancial stressHealth disparitiesHealth literacyTreatment adherence

Identifiers

PMID37178432
PMCPMC10182756
OpenAlexW4376613363

What OpenQuestion holds

Textmetadata
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.