Evidence map›Paper›PMID 41801861›Full record

ArticlePloS one2026

Factors correlated with financial hardship among cancer patients during the COVID-19 pandemic.

Sara P Myers, Carolyn Tsung, J C Chen, Yevgeniya Gokun, Jesse Plascak, Mohamed I Elsaid, Ashley Rosko, Carolyn J Presley, Electra D Paskett, Ann Scheck McAlearney and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sara P MyersDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, Ohio, United States of America.ORCID https://orcid.org/0000-0003-4318-3938
Carolyn TsungWashington University in St. Louis, St Louis, Missouri, United States of America.
J C ChenDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, Ohio, United States of America.ORCID https://orcid.org/0000-0003-4356-5522
Yevgeniya GokunCenter for Biostatistics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Jesse PlascakDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Mohamed I ElsaidCenter for Biostatistics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Ashley RoskoDivision of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Carolyn J PresleyDivision of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Electra D PaskettDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Ann Scheck McAlearneyCATALYST, Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Samilia Obeng-GyasiDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, Ohio, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFinancial hardship from cancer care is associated with poor patient outcomes. Economic disruption during the COVID-19 pandemic may have exacerbated patients' financial concerns. We explore how social deprivation index (SDI), clinical, and treatment-related factors impacted financial hardship in this observational secondary analysis using data collected prospectively during implementation of financial hardship screening from our NCI-designated center during COVID-19.

methodsAdults aged ≥18 years undergoing active treatment for stage 0-IV breast or lung cancer and who completed a 5-point Likert response-item screening for financial difficulty between 11/2020 and 11/2021 were included. Generalized estimating equations assessed associations between quartiles of zip-code level SDI, a composite obtained using data from US Census and American Community Survey, and binary outcome of financial hardship adjusting for relevant covariates.

resultsOf 2245 patients, 87% identified as White, 9% as Black, 2% as Asian. The majority of patients identified as non-Hispanic (99%). Median age was 62 years old (IQR 53-71).The majority were treated for breast cancer (79%). Significant financial hardship (Likert responses ≥2) was reported by 7%. Most were married, had managed-care insurance, resided in urban settings, and had early-stage cancers (all p < 0.001). Of those included, 83% received surgery, 52% received chemotherapy, and 65% received radiation. Compared to the lowest SDI quartile, penultimate and highest quartiles were associated with financial hardship (Q3 aOR 1.86; 95%CI 1.13-3.05); Q4 aOR 2.05; 95%CI 1.15-3.63). Younger age, Black race, comorbidities, radiation, and chemotherapy were also associated with greater financial hardship (p < 0.05).

conclusionIn this study, greater SDI, younger age, Black race, comorbidities, receipt of radiation and/or chemotherapy were associated with financial hardship. These factors may guide focused screening of vulnerable populations to assist with equitable access to resources that offset the economic effects of cancer care.

Indexed as

Breast NeoplasmsCOVID-19Financial StressLung NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Social DeprivationSocioeconomic Disparities in Health

Identifiers

PMID41801861
PMCPMC12970929

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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.