Evidence map›Paper›PMID 36005205›Full record

ArticleCurrent oncology (Toronto, Ont.)2022

Patient-Reported Experiences of Breast Cancer Screening, Diagnosis, and Treatment Delay, and Telemedicine Adoption during COVID-19.

Simo Du, Laura Carfang, Emily Restrepo, Christine Benjamin, Mara M Epstein, Ricki Fairley, Laura Roudebush, Crystal Hertz, Leah Eshraghi, Erica T Warner

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
1.9field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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

10 authors at 4 institutions in 1 country.

Simo DuSurvivingBreastCancer.org, Boston, MA 02119, USA.ORCID 0000-0001-9551-3754
Laura CarfangSurvivingBreastCancer.org, Boston, MA 02119, USA.
Emily RestrepoMongan Institute, Clinical Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Christine BenjaminSHARE Cancer Support, New York, NY 10036, USA.ORCID 0000-0001-8382-0781
Mara M EpsteinMeyers Health Care Institute, a Joint Endeavor of the University of Massachusetts Medical School, Fallon Health, and Reliant Medical Group, Worcester, MA 01605, USA.
Ricki FairleyTOUCH, The Black Brest Cancer Alliance, Annapolis, MD 21403, USA.
Laura RoudebushDr. Susan Love Foundation for Breast Cancer Research, West Hollywood, CA 90069, USA.
Crystal HertzDr. Susan Love Foundation for Breast Cancer Research, West Hollywood, CA 90069, USA.
Leah EshraghiDr. Susan Love Foundation for Breast Cancer Research, West Hollywood, CA 90069, USA.
Erica T WarnerMongan Institute, Clinical Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-2671-0313
Dr. Susan Love Foundation for Breast Cancer Research · USMassachusetts General Hospital · USCancer Support Community · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate and quantify potential sociodemographic disparities in breast cancer screening, diagnosis, and treatment due to the COVID-19 pandemic, and the use of telemedicine.

methodsWe fielded a 52-item web-based questionnaire from 14 May 2020 to 1 July 2020 in partnership with several U.S.-based breast cancer advocacy groups. Individuals aged 18 or older were eligible for this study if they: (1) received routine breast cancer screening; OR (2) were undergoing diagnostic evaluation for breast cancer; OR (3) had ever been diagnosed with breast cancer. We used descriptive statistics to understand the extent of cancer care delay and telemedicine adoption and used multivariable logistic regression models to estimate the association of sociodemographic factors with odds of COVID-19-related delays in care and telemedicine use.

resultsOf 554 eligible survey participants, 493 provided complete data on demographic and socioeconomic factors and were included in the analysis. Approximately half (n = 248, 50.3%) had a personal history of breast cancer. Overall, 188 (38.1%) participants had experienced any COVID-19-related delay in care including screening, diagnosis, or treatment, and 339 (68.8) reported having at least one virtual appointment during the study period. Compared to other insurance types, participants with Medicaid insurance were 2.58 times more likely to report a COVID-19-related delay in care (OR 2.58, 95% Cl: 1.05, 6.32;

conclusionsThe COVID-19 pandemic has had a significant impact on breast cancer screening, diagnosis, and treatment, and accelerated the delivery of virtual care. Lower-income groups and patients with certain insurance categories such as Medicaid or self-insured could be more likely to experience care delay or less likely to use telemedicine. Careful attention must be paid to vulnerable groups to insure equity in breast cancer-related service utilization and telemedicine access during and beyond the COVID-19 pandemic.

Indexed as

Breast NeoplasmsCOVID-19TelemedicineCOVID-19 TestingEarly Detection of CancerFemaleHumansPandemicsPatient Reported Outcome MeasuresTime-to-TreatmentUnited Statesbreast cancerCOVID-19health disparitiesmammography

Identifiers

PMID36005205
PMCPMC9406797
OpenAlexW4293105294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.