Trial reportJCO oncology practice2025
Financial Navigation for People Newly Diagnosed With Cancer: Primary Outcomes From the Cancer Financial Experience Randomized Trial.
Trial report in JCO oncology practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Examination of insurance type and cancer treatments with administrative burdens and financial toxicity in a sample of cancer survivors.Journal of cancer survivorship : research and practice · 2026Article
- Application of digital health interventions in the management of economic toxicity in cancer patients: a scoping review.Frontiers in public health · 2026Article
- Social Determinants of Health in Cardio Oncology, from Evidence To Action: Translating Concepts into Clinical Practice Through Implementation Science.Current treatment options in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
purposeFinancial navigation could mitigate or prevent cancer-related financial hardship, but its effectiveness has not been established in real-world settings. We developed an intervention that provided proactive, personalized financial navigation to individuals newly diagnosed with cancer.
methodsWe conducted a randomized controlled trial at two integrated health systems. Inclusion criteria were age 18+ years and receiving care for a new cancer diagnosis of any type or stage. Participants were randomly assigned 1:1:1 to either brief intervention (one proactive outreach +6 months of navigation), extended intervention (three proactive outreaches +6 months of navigation), or enhanced usual care. All arms received a list of available financial assistance resources. Primary outcomes were self-reported financial hardship (InCharge Financial Distress/Financial Well-Being Scale) and cancer-related quality of life (FACT-G7) at 12-month follow-up. We fit generalized linear models adjusting for site, cancer type, socioeconomic diversity, and demographics.
resultsWe randomly assigned 371 participants (26.2% enrollment of those reached and eligible). The sample had a mean age of 61.6 years (standard deviation [SD], 13.3); 62.8% were female; 8.7% were Asian, 8.5% Black, 10.7% Hispanic, 8.2% other or multiple race, and 63.9% White. Cancer types were primarily breast (37.7%) and prostate (14.6%). At 12-month follow-up (n = 283), financial hardship and quality of life were similar between intervention groups (unadjusted mean [SD]: brief = 7.39 (2.66), extended = 6.84 (2.55), usual care = 6.69 (2.66), adjusted
conclusionFinancial navigation was not associated with improved financial hardship or cancer-related quality of life in patients newly diagnosed with cancer compared with enhanced usual care. Continued research on strategies to address the urgent problem of cancer-related financial hardship is needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.