Evidence mapPaperPMID 38710001Full record

SynthesisJCO clinical cancer informatics2024

Mapping the Evidence on the Impact of mHealth Interventions on Patient-Reported Outcomes in Patients With Breast Cancer: A Systematic Review.

Santiago Frid, Clara Amat-Fernández, María Ángeles Fuentes-Expósito, Montserrat Muñoz-Mateu, Antonis Valachis, Antoni Sisó-Almirall, Immaculada Grau-Corral

Abstract readSystematic Review
In one paragraph

Synthesis in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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.

Santiago FridClinical Informatics Service, Hospital Clínic de Barcelona, Barcelona, Spain.ORCID 0000-0001-8400-5770
Clara Amat-FernándezHealth Services Research Group, Hospital del Mar Research Institute, Barcelona, Spain.ORCID 0000-0001-9595-0970
María Ángeles Fuentes-ExpósitoFundación iSYS, Barcelona, Spain.ORCID 0000-0001-8882-3703
Montserrat Muñoz-MateuOncology Service, Hospital Clínic de Barcelona, Barcelona, Spain.ORCID 0000-0001-7772-1437
Antonis ValachisDepartment of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID 0000-0001-6059-0194
Antoni Sisó-AlmirallDepartment of Medicine, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0001-9832-2689
Immaculada Grau-CorralFundación iSYS, Barcelona, Spain.ORCID 0000-0003-1014-051X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo comprehensively synthesize the existing evidence concerning mHealth interventions for patients with breast cancer (BC).

designOn July 30, 2023, we searched PubMed, PsycINFO, and Google Scholar for articles using the following inclusion criteria: evaluation of mHealth interventions in patients with cancer, at least 30 participants with BC, randomized control trials or prospective pre-post studies, determinants of health (patient-reported outcomes [PROs] and quality of life [QoL]) as primary outcomes, interventions lasting at least 8 weeks, publication after January 2015. Publications were excluded if they evaluated telehealth or used web-based software for desktop devices only. The quality of the included studies was analyzed with the Cochrane Collaboration Risk of Bias Tool and the Methodological Index for Non-Randomized Studies.

resultsWe included 30 studies (20 focused on BC), encompassing 5,691 patients with cancer (median 113, IQR, 135.5). Among these, 3,606 had BC (median 99, IQR, 75). All studies contained multiple interventions, including physical activity, tailored information for self-management of the disease, and symptom tracker. Interventions showed better results on self-efficacy (3/3), QoL (10/14), and physical activity (5/7). Lifestyle programs (3/3), expert consulting (4/4), and tailored information (10/11) yielded the best results. Apps with interactive support had a higher rate of positive findings, while interventions targeted to survivors showed worse results. mHealth tools were not available to the public in most of the studies (17/30).

conclusionmHealth interventions yielded heterogeneous results on different outcomes. Identifying lack of evidence on clinical scenarios (eg, patients undergoing systemic therapy other than chemotherapy) could aid in refining strategic planning for forthcoming research endeavors within this field.

Indexed as

Breast NeoplasmsPatient Reported Outcome MeasuresQuality of LifeTelemedicineFemaleHumans

Identifiers

PMID38710001
PMCPMC11161246

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.