Evidence map›Paper›PMID 40742586›Full record

ArticleJAMA network open2025

Nationwide Analysis of Legal Barriers to Cancer Care.

Krista Y Chen, Amanda L Blackford, Monica F Bryant, Joanna F Doran, Nicole L Henderson, Andres Azuero, Gabrielle B Rocque, S M Qasim Hussaini

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

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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

8 authors.

Krista Y ChenSchool of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Amanda L BlackfordDivision of Quantitative Sciences, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Monica F BryantTriage Cancer, Chicago, Illinois.
Joanna F DoranTriage Cancer, Chicago, Illinois.
Nicole L HendersonDepartment of Medicine, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham.
Andres AzueroDepartment of Medicine, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham.
Gabrielle B RocqueDepartment of Medicine, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham.
S M Qasim HussainiDivision of Quantitative Sciences, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Legal barriers during cancer care contribute to longstanding disparities and lead to adverse health outcomes in vulnerable populations, yet their prevalence remains unknown. Objective: To identify and characterize legal barriers for patients with cancer who reached out to a legal navigation program. Design, Setting, and Participants: This retrospective cohort study used data from the Legal & Financial Navigation (LFN) database of Triage Cancer, a nationwide nonprofit organization providing free education on legal issues faced by individuals with cancer, between March 1, 2021, and December 31, 2024. Participants included patients with cancer and caregivers and health care professionals calling on a patient's behalf. Exposures: Sociodemographic, financial, and disease-site characteristics of patients. Main Outcomes and Measures: The main outcome was the primary legal issue prompting use of Triage Cancer's LFN. Sociodemographic, financial, and disease-site factors of patients were characterized, and the associations of these factors with the primary legal issue were explored with logistic regression models. Results: A total of 5810 calls (3883 [66.8%] by patients, 1091 [18.8%] by caregivers, and 597 [10.3%] by health care professionals) were investigated in reference to patients from 50 US states (3710 [63.9%] female; 3293 [56.7%] aged 40 to 64 years). Patients were primarily insured (4436 [76.4%]), 2533 (43.6%) had annual household income below $50 000, and 2808 (48.3%) were in active cancer treatment. Almost half of patients (2807 [48.3%]) had 2 or more legal barriers. The most common primary barriers were health insurance (1648 [28.4%] requested help navigating claim denials, appeals, or health insurance), followed by finances (1194 [20.6%] needed help with financial assistance and housing), employment (1095 [18.8%] needed help navigating wrongful termination, working through treatment, taking time off, or unemployment benefits), and disability insurance (1082 [18.6%] needed help navigating claim denials or applying for and transitioning off disability insurance). Black or African American compared with White patients had lower odds of needing assistance with health insurance (odds ratio [OR], 0.66; 95% CI, 0.50-0.87); Black or African American compared with White patients (OR, 1.52; 95% CI, 1.12-2.05) and patients living in the South compared with the Northeast (OR, 1.32; 95% CI, 1.04-1.67) more often sought assistance for financial barriers; and patients with household income below $20 000 compared with over $100 000 (OR, 0.34; 95% CI, 0.14-0.87) and those with Medicaid (OR, 0.36; 95% CI, 0.13-0.99) or marketplace insurance (OR, 0.37; 95% CI, 0.23-0.60) vs employer-sponsored insurance less often sought assistance for employment. Conclusions and Relevance: This cohort study examining legal barriers to cancer care access faced by patients with cancer and their caregivers found that certain populations may have greater need for legal navigation. In light of recent federal policies supporting reimbursement for complex care coordination and unmet social services needs in patients with cancer, these findings suggest a need for health care teams to better understand cancer-related legal issues and design more accessible legal navigation services.

Indexed as

Health Services AccessibilityNeoplasmsPatient NavigationAdultAgedCaregiversFemaleHumansMaleMiddle AgedRetrospective StudiesUnited States

Identifiers

PMID40742586
PMCPMC12314725

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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.