Evidence map›Paper›PMID 41062166›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

A Hybrid Technology-Enabled Financial Navigation Model to Combat Financial Toxicity in Cancer Care.

Dinesh Pal Mudaranthakam, Allison Makovec, Rachel Forcino, Isuru Ratnayake, Sam Pepper, Stephanie Sherode, Karin Denes-Collar, Anthony D Sung

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Dinesh Pal MudaranthakamThe Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0001-9767-1158
Allison MakovecThe Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Rachel ForcinoThe Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA.
Isuru RatnayakeThe Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0001-9596-781X
Sam PepperThe Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0003-0696-3820
Stephanie SherodeMasonic Cancer Alliance, The University of Kansas Cancer Center, Fairway, KS, USA.
Karin Denes-CollarMasonic Cancer Alliance, The University of Kansas Cancer Center, Fairway, KS, USA.
Anthony D SungThe University of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, KS, USA.

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
NCI NIH HHS P30 CA168524
6 · The paper itself

Abstract

Financial toxicity is increasingly recognized as a critical barrier to high-quality cancer care, treatment adherence, and positive survivorship outcomes. Despite the availability of financial and social support resources, patients often face challenges in accessing and navigating them effectively. To address this gap, the University of Kansas Cancer Center developed the Oncology Navigation Empowerment for Treatment (ONCO-NET) platform-an innovative hybrid intervention that integrates an AI-driven resource-matching system with human-centered financial navigation support. Through a structured intake process that includes demographic information, the Functional Assessment of Chronic Illness Therapy Comprehensive Score for Financial Toxicity (FACIT-COST), and social determinants of health data, ONCO-NET identifies and prioritizes the most relevant local resources for each patient. The platform provides real-time, personalized recommendations while offering access to trained financial navigators for additional support. By combining digital technology with human expertise, ONCO-NET enhances accessibility, scalability, and equity in financial navigation. This approach has the potential to improve treatment adherence, reduce disparities, and serve as a scalable model for addressing financial burdens in cancer care and other chronic disease contexts.

Indexed as

NeoplasmsPatient NavigationHumanscancer care navigationdigital health interventionfinancial toxicity

Identifiers

PMID41062166
PMCPMC12511694

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.