Evidence map›Paper›PMID 42094903›Full record

ArticleFrontiers in public health2026

Application of digital health interventions in the management of economic toxicity in cancer patients: a scoping review.

Ziyi Chen, Bixuan Xu, Jinpeng Wen, Shijie Zhao, Yuling Zheng, Hejia Wan, Juntao Wang

Abstract readScoping Review
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Ziyi Chen *Department of Oncology, The Third Affiliated Hospital of Henan, University of Chinese Medicine, Zhengzhou, Henan, China.
Bixuan Xu *School of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Jinpeng WenSchool of Journalism and Communication, South China University of Technology, Guangzhou, Guangdong, China.
Shijie ZhaoSchool of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Yuling ZhengCancer Diagnosis and Treatment Center, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Hejia WanSchool of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Juntao WangDepartment of Oncology, The Third Affiliated Hospital of Henan, University of Chinese Medicine, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study systematically reviews the current application of digital health interventions in cancer patients, clarifies their implementation characteristics and intervention effects in managing economic toxicity, and provides a reference for intervention programs to reduce the economic toxicity of patients. Methods: Relevant studies were systematically retrieved from PubMed, Web of Science, Cochrane Library, Embase, CINAHL, CNKI, CBM, WanFang Database, and VIP Database from their inception to February 6, 2026. Data from the included literature were extracted and analyzed. Results: A total of 22 studies were included. Digital health technologies are applicable to multiple stages of cancer patient diagnosis, treatment, and rehabilitation. Among these, remote financial navigation or consultation is the most commonly used intervention method. Existing research has shown positive results in improving cost communication skills, facilitating financial assistance, and enhancing intervention feasibility, but evidence regarding improvements in economic toxicity scales and the alleviation of long-term financial difficulties exhibits some heterogeneity. Conclusion: Digital health technologies, with their high accessibility, scalability, and ease of remote access and follow-up, offer unique advantages in managing the economic toxicity of cancer patients. Current research in this field has gradually shifted from single-stage interventions to comprehensive intervention pathways. Future research should focus on the dynamic evolution of economic toxicity at different stages of diagnosis and treatment, promote the standardization of intervention procedures and outcome evaluations, and develop personalized digital intervention strategies to mitigate the economic toxicity of cancer patients. Systematic review registration: https://doi.org/10.17605/OSF.IO/4DYN3.

Indexed as

Digital HealthNeoplasmsTelemedicineHumanscancer caredigital healtheconomic toxicityfinancial navigationhealth equityscoping reviewsupportive caretelehealth

Identifiers

PMID42094903
PMCPMC13139014

What OpenQuestion holds

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Registered trials

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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.