Evidence map›Paper›PMID 40041393›Full record

ArticleDigital health

Mobile apps for cancer patients: Identifying positive impacts and concerns.

Wei Leidong, Michelle Monachino, Don Lloyd-Williams, Thi Le Ha Nguyen, Brayal Dsouza, Joaquim Paulo Moreira

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
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

6 authors.

Wei LeidongSchool of Social Affairs, Henan Normal University, Xinxiang, Hean, China.
Michelle MonachinoInternational Healthcare Management Research and Development Center, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
Don Lloyd-WilliamsFaculty of Health Sciences, Georgia State University, Atlanta, GA, USA.
Thi Le Ha NguyenVNU University of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam.
Brayal DsouzaPrasanna School of Public Health, Nursing Department, Manipal Academy of Higher Education, Manipal, KA, India.
Joaquim Paulo MoreiraSchool of Social Affairs, Henan Normal University, Xinxiang, Hean, China.ORCID https://orcid.org/0000-0002-3644-1022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health is being increasingly considered as a strategy to deliver healthcare to people with chronic diseases. This stands particularly true for cancer management where treatment is being progressively administered at home, requiring more involvement, education, and changes in behavior from patients. This article aims to identify the main axes of intervention for behavioral change of mHealth in cancer management and its relative impacts, as well as identify recent evidence on user preferences for optimal engagement in mHealth-based behavioral change strategies. Methodological Approach: A literature search was carried out in the Databases PubMed and Cochrane during the period October-December 2023. The search retrieved 505 initial entries narrowed down to 21 articles included in this commentary. Results: Evidence is available on Mobile apps for cancer management being used to successfully promote behavioral changes in the areas of treatment adherence, symptoms self-management, communication with healthcare professionals, and holistic well-being in cancer patients. These are activities traditionally relevant in healthcare management interventions and contribute to further developing the relevance of the field of Digital Health in healthcare management. Relevance to Clinical Practice: The article contributes to a practical understanding of how Mobile interventions are being applied to promote higher self-care, a better emotional status, lesser adverse impacts, and, ultimately, increased survival rates for cancer patients. Several cancer patients' preferences were identified for the promotion of user engagement related to app design, available features, interoperability, and app creation process, as well as advanced healthcare management intervention. Preferences were found to be different for adolescents and young adult cancer patients when compared to other cohort groups.

Indexed as

behavioral changecancerchronic diseasedigital healthhealthcare managementmHealthself-management

Identifiers

PMID40041393
PMCPMC11877465

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.