Cited by 66Mobile Health and mHealth ApplicationsCancer survivorship and careDigital Mental Health Interventions

Mobile applications for breast cancer survivorship and self-management: A systematic review

Open access
Kapoor, Akshat, Nambisan, Priya, Baker, Elizabeth·2020·Health Informatics Journal

Abstract

The use of mobile technology and mobile apps has become pervasive in our daily lives for completing a variety of daily tasks. Mobile health (mHealth) apps can provide an accessible platform for self-management among breast cancer (BC) survivors, as they recover from not just the intensive cancer treatments, but also their associated side-effects. They also offer a means to learn about survivorship topics and connect with peer survivors online, irrespective of their geographical location. This study is an attempt to assess the availability and characterize the self-management features of free mobile apps for breast cancer survivors on the Google Play (Android) and Apple App Store (iOS). Out of 249 such apps for the Android, only eight satisfied initial criteria, while only one of 174 iOS apps that met inclusion criteria was included for further analysis. A content analysis of the nine apps that met inclusion criteria was conducted to assess the inclusion of the following mHealth self-management features derived from the Chronic Care Model: symptom tracking; survivorship education; information-sharing with family and/or caregivers; scheduling follow-up visits; personal alerts and reminders; and social networking. Survivorship education was found to be the most common self-management feature among the apps reviewed, followed by social networking. The results of this study highlight the dearth of available mHealth resources for BC survivors. Future efforts in app development should involve survivors and healthcare providers to ensure comprehensive resources that address their unmet needs are made more accessible.

Integrity signals

Registry

Crossref · 10.1177/1460458220950853

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kapoor, A., Nambisan, P., & Baker, E.
Affiliations
  • East Carolina University (US)
  • University of Wisconsin, USA
Corresponding author
Kapoor, Akshat
Venue
Health Informatics Journal
Published
2020-08-25
Volume
26
Issue
4
Pages
2892-2905
ISSN
  • 1355-4743 (ISSN-L)
  • 1460-4582
  • 1741-2811
OpenAlex
W3080769754
Cited by
66
References
46
Citations by year
2026: 12 · 2025: 13 · 2024: 15 · 2023: 8 · 2022: 9 · 2021: 8 · 2020: 1
FWCI
1.23
Type
journal article
Language
en
Open access
Locations
  • Health Informatics Journal (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
breast cancer survivors, mobile health apps, self-management, mobile health, Chronic Care Model, survivorship education, symptom monitoring, social networking, peer support, reminders, app quality assessment
MeSH terms
Survivorship, Breast Neoplasms, Humans, Caregivers, Telemedicine, Mobile Applications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review