Evidence map›Paper›PMID 35206837›Full record

ArticleHealthcare (Basel, Switzerland)2022

User Engagement and Abandonment of mHealth: A Cross-Sectional Survey.

Abdulsalam Salihu Mustafa, Nor'ashikin Ali, Jaspaljeet Singh Dhillon, Gamal Alkawsi, Yahia Baashar

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
–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

70 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Evaluating a digital tool for supporting people affected by breast cancer: a prospective randomized controlled trial-the ADAPT study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Trial
  5. Trial
  6. Trial
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. User evaluation of the Hypo-METRICS app: A tool for real-time symptom reporting of hypoglycaemia.Diabetic medicine : a journal of the British Diabetic Association · 2026
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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

5 authors.

Abdulsalam Salihu MustafaCollege of Graduate Studies, Universiti Tenaga Nasional, Kajang 43000, Malaysia.ORCID 0000-0003-3117-062X
Nor'ashikin AliCollege of Graduate Studies, Universiti Tenaga Nasional, Kajang 43000, Malaysia.ORCID 0000-0002-5653-2482
Jaspaljeet Singh DhillonCollege of Computing and Informatics, Universiti Tenaga Nasional, Kajang 43000, Malaysia.
Gamal AlkawsiInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional, Kajang 43000, Malaysia.ORCID 0000-0002-2456-4033
Yahia BaasharInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional, Kajang 43000, Malaysia.ORCID 0000-0002-8004-3929

Funding

Universiti Tenaga Nasional's financial support under the Bold Research Grant Project No. RJO10517844/012
6 · The paper itself

Abstract

Mobile health (mHealth) apps have great potential to improve health outcomes. Given that mHealth apps have become ubiquitous, there is limited focus on their abandonment. Data concerning crucial metrics, including reasons for adoption and discontinued use, are limited. This study aims to gain broad insights into utilization of mHealth and game-like features promoting user engagement. We conducted a cross-sectional survey of 209 mHealth users worldwide. The 17-item survey assessed sociodemographics, as well as the key motivators for mHealth uptake and discontinued use. Our findings show that sports and fitness activity tracking were the most common categories of health apps, with most users engaging with them at least several times a week. Interestingly, the most downloaded mHealth apps among younger adults include MyFitnessPal, Fitbit, Nike Run Club, and Samsung Health. Critical drivers of abandonment of mHealth apps were amotivation, loss of interest, and experimenting with different apps to identify the most suitable tool. Additionally, the financial cost of mHealth apps is crucial, with most participants advocating for free or more affordable apps. The study findings suggest that while many individuals utilize mHealth, several factors drive their abandonment. Moreover, data indicate that mHealth developers need to consider gamification strategies to sustain user commitment, as well as psychological variables, such as intrinsic motivation.

Indexed as

abandonmentcontinued usegame elementsgamificationhealth behaviourmHealthmotivation

Identifiers

PMID35206837
PMCPMC8872344

What OpenQuestion holds

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LicenceCC BY
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.