Cited by 152Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsInnovative Human-Technology Interaction

How can weight‐loss app designers' best engage and support users? A qualitative investigation

Tang, Jason, Abraham, Charles, Stamp, Elena, Greaves, Colin·2015·British Journal of Health Psychology

Abstract

Objectives: This study explored young adults' experiences of using e‐health internetbased computer or mobile phone applications (apps) and what they valued about those apps. Design and methods: A qualitative design was used. Semi‐structured interviews were conducted with a community sample of 19 young adults who had used a publicly available phone or internet‐based application. Transcripts were analysed using thematic analysis. Results: Participants valued an attractive user interface. Structure, ease of use, personalised features and accessibility (including dual phone‐computer access) were all important to participants and users indicated that continued use depended on these design features. Many believed that a focus on calorie counting was too limiting. Some users mentioned behaviour change strategies and known behaviour change techniques utilised by apps including; self‐monitoring, goal setting and behavioural feedback. Only a few users reported positive changes in physical activity levels. Conclusions: Use of particular design features and application of evidence‐based behaviour change techniques could optimise continued use and the effectiveness of internet/smart phone interventions. Statement of contribution: What is already known on this subject? E‐health is increasingly used to deliver weight loss/control programs. Most e‐health programs have not been founded on evidence‐based designs and it is unclear what features and functions users find useful or not so useful. What does this study add? Weight loss app users valued structure, ease of use, personalised features and accessibility. Goal setting and feedback on calorie intake/energy balance were the most widely used behaviour change techniques. Designers should consider an extensive food database, a food scanner, and provision of diaries.

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Crossref · 10.1111/bjhp.12114

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  • Users valued available statistical information, which was a visual or numerical summary of progress or a trend in their behavior.

    “Under capability, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E).”
  • Being able to check their progress helped users better monitor their behavior.

    “Being able to check their progress helped users better monitor their behavior (Q10) [37-39,71,72], and for some individuals, a positive trajectory acted as a behavioral reinforcement (Q11) [46,67].”
  • Reminders positively affected behavioral regulation by prompting engagement with self-monitoring and the tracking features of the app.

    “Reminders positively affected behavioral regulation by prompting engagement with self-monitoring and the tracking features of the app (Q14) [37,39,40,51,54,62,67,69-71] as well as reinforcing the users by reminding them about their positive progress [40,48,51].”
  • Additional functions that decrease the time spent on a task using an app were highly appreciated.

    “Additional functions that decrease the time spent on a task using an app were highly appreciated [37,39,48,50,54,56,71,72,75].”
  • Automatization of data collection, for example by linking apps to wearables or by using the camera function to scan barcodes to input calories, was found to be particularly useful in physical activity and weight management apps.

    “The automatization of data collection, for example, by linking apps to wearables [37] or by using the camera function to scan the barcodes to input calories [71] was found to be particularly useful in physical activity and weight management apps.”

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Authors
Tang, J., Abraham, C., Stamp, E., & Greaves, C.
Affiliations
University of Exeter (GB)
Corresponding author
Tang, Jason
Venue
British Journal of Health Psychology
Publisher
Wiley
Published
2014-08-14
Volume
20
Issue
1
Pages
151-171
ISSN
  • 1359-107X (ISSN-L)
  • 2044-8287
OpenAlex
W1998221668
Cited by
152
References
41
Citations by year
2026: 4 · 2025: 11 · 2024: 10 · 2023: 6 · 2022: 14 · 2021: 15 · 2020: 18 · 2019: 18 · 2018: 22 · 2017: 16 · 2016: 11 · 2015: 6 · 2014: 1
FWCI
20.52
Type
journal article
Language
en
Open access
closed
Locations
  • British Journal of Health Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion)
  • Open Research Exeter (University of Exeter) (submittedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
Funders
UK National Institute for Health Research (NIHR)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
weight loss apps, e-health, mobile health apps, young adults, user engagement, app design features, user interface, ease of use, personalization, calorie counting, behaviour change techniques, self-monitoring, goal setting, physical activity, food database
MeSH terms
Adolescent, Adult, Female, Health Promotion, Humans, Interviews as Topic, Male, Motivation, Health Behavior, Young Adult, Weight Reduction Programs, Mobile Applications

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