Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University
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Abstract
BACKGROUND: Evaluating the quality of mobile health apps for weight loss and weight management is important to understand whether these can be used for obesity prevention and treatment. Recent reviews call for more research on multidimensional aspects of app quality, especially involving end users, as there are already many expert reviews on this domain. However, no quantitative study has investigated how laypersons see popular apps for weight management and perceive different dimensions of app quality. OBJECTIVE: This study aimed to explore how laypersons evaluate the quality of 6 free weight management apps (My Diet Coach, SparkPeople, Lark, MyFitnessPal, MyPlate, and My Diet Diary), which achieved the highest quality ratings in a related and recent expert review. METHODS: A user-centered study was conducted with 36 employees of a Lebanese university. Participants enrolled in the study on a rolling basis between October 2016 and March 2017. Participants were randomly assigned an app to use for 2 weeks. App quality was evaluated at the end of the trial period using the Mobile App Rating Scale user version (uMARS). uMARS assesses the dimensions of engagement, functionality, aesthetics, information, and subjective quality on 5-point scales. Internal consistency and interrater agreement were examined. The associations between uMARS scores and users' demographic characteristics were also explored using nonparametric tests. Analyses were completed in November 2017. RESULTS: Overall, the 6 apps were of moderately good quality (median uMARS score 3.6, interquartile range [IQR] 0.3). The highest total uMARS scores were achieved by Lark (mean 4.0 [SD 0.5]) and MyPlate (mean 3.8 [SD 0.4]), which also achieved the highest subjective quality scores (Lark: mean 3.3 [SD 1.4]; MyPlate: mean 3.3 [SD 0.8]). Functionality was the domain with the highest rating (median 3.9, IQR 0.3), followed by aesthetics (median 3.7, IQR 0.5), information (median 3.7, IQR 0.1), and engagement (median 3.3, IQR 0.2). Subjective quality was judged low (median 2.5, IQR 0.9). Overall, subjective quality was strongly and positively related (P<.001) with total uMARS score (ρ=.75), engagement (ρ=.68), information, and aesthetics (ρ=.60) but not functionality (ρ=.40; P=.02). Higher engagement scores were reported among healthy (P=.003) and obese individuals (P=.03), who also showed higher total uMARS (P=.04) and subjective quality (P=.05) scores. CONCLUSIONS: Although the apps were considered highly functional, they were relatively weak in engagement and subjective quality scores, indicating a low propensity of using the apps in the future. As engagement was the subdomain most strongly associated with subjective quality, app developers and researchers should focus on creating engaging apps, holding constant the functionality, aesthetics, and information quality. The tested apps (in particular Lark and MyPlate) were perceived as more engaging and of higher quality among healthy, obese individuals, making them a promising mode of delivery for self-directed interventions promoting weight control among the sampled population or in similar and comparable settings.
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Six participants in the intervention group were invited to focus groups, a sample size deemed appropriate for evaluating usability of digital interventions.
“Six participants in the intervention group were also invited to join optional focus groups, a sample size deemed appropriate for evaluating the usability of digital interventions (Bardus et al., 2019).”
From ACT2COPE: A pilot randomised trial of a brief online acceptance and commitment therapy intervention for people living with chronic health conditions during the COVID-19 pandemic (2023) · cites this paper as Bardus et al., 2019
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“In addition, users might have had different interpretations of the items as some IRA indices pointed to low or no agreement within engagement items ( MyFitnessPal and My Diet Diary ), information ( My Diet Diary , MyPlate , and SparkPeople ), and subjective quality ( Lark , MyFitnessPal , and My Diet Diary ).”
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“To our knowledge, the only other study comparing user engagement scores (using the uMARS) across health apps used 5-6 participants per app group based on recommendations from the usability testing literature [29].”
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“The MARS has been used to evaluate apps in user-based heuristic evaluations [30] and expert-driven content analyses of apps [31-33].”
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“Discontinuing app usage was also reported in a user-centered study conducted among employees of the same institution [41], in which the authors found that mobile apps are not used if not engaging and easy to use.”
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“This is consistent with other studies investigating the quality of health apps using the same instrument [59, 60] or the quality of patient portals using other usability scales [61–63].”
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“…eHealth evaluation method 10 [31] ISO 9241-210 11 [32] The MDevSPICE framework 12 [33] A care pathway data quality framework 13 [34] The uMARS 14 [35] The uMARS 15 [36] The Medical Informatics Platform 16 [37] The Medical Research Council framework 17 a IHE: Integrating the Healthcare…”
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Wu, Y., Wang, X., Gao, F., Liao, J., Zeng, J., & Fan, L. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1201866 · Cited by 15 · see citing works
Martín‐Martín, J., Muro-Culebras, A., Roldán‐Jiménez, C., Escriche-Escuder, A., De-Torres, I., González‐Sánchez, M., Ruiz‐Muñoz, M., Mayoral, F., Biró, A., Tang, W. J., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182312505 · Cited by 15 · see citing works
“As far as we know, mobile applications for depression have not been assessed with this tool; it has been used for pain management [12], weight management [13], or asthma [14], among others.”
MethodUse of workplace health promotion apps: Analysis of employee log data
Billmann, M., Böhm, M., & Krcmar, H. (2020) · Health Policy and Technology · doi:10.1016/j.hlpt.2020.06.003 · Cited by 14 · see citing works
Iskandarsyah, A., Shabrina, A., & Siswadi, A. G. P. (2022) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s342913 · Cited by 11 · see citing works
“Aesthetics (layout, graphics, visual appeal) become the second crucial category after functionality to assess the quality of the mHealth app.(45) For instance, the color was pointed out as a significant visual element regarding beauty, attractiveness, and vividness.”
BackgroundA Review of Mortality Risk Prediction Models in Smartphone Applications
Fijačko, N., Creber, R. M., Gosak, L., Kocbek, P., Cilar, L., Creber, P., & Štiglic, G. (2021) · Journal of Medical Systems · doi:10.1007/s10916-021-01776-x · Cited by 15 · see citing works
Ko, S., & Woo, H. (2025) · JMIR mhealth and uhealth · doi:10.2196/64622 · Cited by 6 · see citing works
Turkish Validation of the User Version of the Mobile Application Rating Scale
Çalık, G., Kartal, B. B., Stoyanov, S. R., Othman, L., de la Rosette, J. J. M. C. H., Albayrak, S., Laguna, M. P., & Gravas, S. (2022) · Urology Research and Practice · doi:10.5152/tud.2022.21324 · Cited by 9 · see citing works
Ponce-Ramírez, C. M., Mateo‐Orcajada, A., Abenza‐Cano, L., & Vaquero‐Cristóbal, R. (2024) · International Journal of Telemedicine and Applications · doi:10.1155/2024/8038334 · Cited by 4 · see citing works
Saleh, S. S., Arnaout, N. E., Sabra, N., Dakdouki, A. E., Chamseddine, Z. M., Hamadeh, R. S., Shanaa, A., & Alameddine, M. S. (2025) · JMIR mhealth and uhealth · doi:10.2196/65599 · Cited by 6 · see citing works
“Other studies in Lebanon have investigated mHealth for weight management and the uptake of routine mammography [69,70].”
Nutrition-Related Mobile Apps in the Spanish App Stores: Quality and Content Analysis
Fernandez-Lázaro, C., Santamaría, G., Milano, A. F., Martin-Vergel, M. I., & Fernández-Lázaro, D. (2024) · JMIR mHealth and uHealth · doi:10.2196/52424 · Cited by 5 · see citing works
“Previous studies have reported functionality as the top uMARS section [33,35,53,54].”
BackgroundResultNutrition Management Miniprograms in WeChat: Evaluation of Functionality and Quality
Sun, H., Wu, Y.-P., Sun, J., Zhou, W., Xu, Q., & Hu, D. (2024) · JMIR Human Factors · doi:10.2196/56486 · Cited by 4 · see citing works
“Simultaneously, encouraging active involvement from health professionals in the development of mobile health apps is crucial for ensuring their effectiveness and relevance in promoting better health outcomes [30].”
BackgroundGarcía-Pascual, F., Valcarce-Torrente, M., Moreno, F. C., & Fernández, J. G. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-02330-5 · Cited by 5 · see citing works
Wallace-Boyd, K., Boggiss, A. L., Ellett, S., Booth, R., Slykerman, R., & Serlachius, A. S. (2023) · Cogent Psychology · doi:10.1080/23311908.2023.2208916 · Cited by 3 · see citing works
“Six participants in the intervention group were also invited to join optional focus groups, a sample size deemed appropriate for evaluating the usability of digital interventions (Bardus et al., 2019).”
BackgroundA Systematic Review of Korea’s Medication Management Mobile Application
Kim, S. K., Hwang, H. R., Lee, Y., & Kim, Y. (2023) · SAGE Open · doi:10.1177/21582440231192928
“…studies (Fu et al., 2013; Monett & Stolte, 2016), reflecting only the subjective rating of individual apps, for instance, apps with the most recent ratings, those with a heavier weighting (Bardus et al., 2019) and paid ones are more likely to receive stronger complaints in addition to lower scores.”
BackgroundPersian adaptation and validation of the user version of The Mobile Application Rating Scale (uMARS)
Kohzadi, Z., Rahmatizadeh, S., Kohzadi, Z., & Valizadeh-Haghi, S. (2025) · PLoS ONE · doi:10.1371/journal.pone.0320349 · Cited by 2 · see citing works
Codesign and Feasibility Testing of a Tool to Evaluate Overweight and Obesity Apps
Puigdomènech, E., Robles, N., Balfegó, M., Cuatrecasas, G., Zamora, A., Saigí-Rubió, F., Paluzié, G., Moharra, M., & Carrión, C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095387 · Cited by 3 · see citing works
“[20] developed the Nutrition App Quality Evaluation tool to evaluate nutrition-related apps.”
BackgroundMethodDugas, K. R., Giroux, M.-A., Guerroudj, A., Leger, J., Rouhafzay, A., Rouhafzay, G., & Jbilou, J. (2025) · JMIR mhealth and uhealth · doi:10.2196/64139 · Cited by 2 · see citing works
“4 % ) [15,16,23,24,28,46,48,49,52,54,57,60,63,67,76,79-81,84, 85] ,”
Fahs, I., Jabbawi, H. E., Mallah, H., Najm, N., Alkhatib, M., Hayek, J., Hamed, F., Kanaan, S., Dabbous, M., Safwan, J., et al. (2026) · BMC Public Health · doi:10.1186/s12889-026-27427-9
Mateo‐Orcajada, A., Vaquero‐Cristóbal, R., & Abenza‐Cano, L. (2026) · Wearable Technologies · doi:10.1017/wtc.2026.10039 · Cited by 1 · see citing works
“This decrease is attributed to the complexity of mobile application functionalities, which can affect adolescents ’ perceived usability (Bhandari et al., 2017; Bardus et al., 2019).”
Fang, L., Huang, C., Lin, B., Lei, K., Zhou, J., Zhong, X., Liu, Y., & Liu, J. (2025) · JMIR mhealth and uhealth · doi:10.2196/66339
Sharpe, A., Chan, Y. H., & Saparamadu, A. A. D. N. S. (2026) · JMIR mhealth and uhealth · doi:10.2196/48828
Fatkuriyah, L., Hidayati, A., & Rosalini, W. (2024) · Professional Health Journal · doi:10.54832/phj.v6i1.776
“In addition to the functionality aspect, the aesthetic aspect is an important category for assessing the quality of the mHealth application, which includes layout, graphics, and visual appeal (Bardus et al., 2019).”
Pregled mobilnih aplikacij s področja onesnaževanja okolja
Muršec, D., Rozman, U., Lavrič, M., & Turk, S. Š. (2024) · Green and Digital Transition – Challenge or Opportunity · doi:10.18690/um.fov.3.2024.50
Delestre, F., Debailly, R., Kerever, S., & Hansel, B. (2022) · Nutrition Clinique et Métabolisme · doi:10.1016/j.nupar.2022.07.002
Ranked Apps for Depression by MARS on Android and Apple Store: A review (Preprint)Preprint
Martín‐Martín, J., Muro-Culebras, A., Escriche-Escuder, A., González‐Sánchez, M., Ruiz‐Muñoz, M., Roldán‐Jiménez, C., García, I. D.-T., Mayoral, F., Biró, A., Tang, W. J., et al. (2020) · doi:10.2196/preprints.19718
Bizri, L. E., & Badr, N. (2022) · International Conference on Health Informatics · doi:10.5220/0010742300003123
- Authors
- Bardus, M., Ali, A., Demachkieh, F., & Hamadeh, G.
- Affiliations
- American University of Beirut (LB)
- Corresponding author
- Bardus, Marco
- Venue
- JMIR mHealth and uHealth
- Publisher
- JMIR Publications Inc.
- Published
- 2019-01-23
- Volume
- 7
- Issue
- 1
- Pages
- e9836
- ISSN
- 2291-5222 (ISSN-L)
- PMC
- PMC6364203
- OpenAlex
- W2895983283
- Cited by
- 44
- References
- 72
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 6 · 2023: 11 · 2022: 8 · 2021: 7 · 2020: 2 · 2019: 1
- FWCI
- 3.82
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR mhealth and uhealth (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- mobile health apps, app quality, user-centered evaluation, Mobile App Rating Scale, user engagement, app aesthetics, app functionality, subjective quality, obesity prevention, MyPlate, MyFitnessPal, Alaudidae, university employees, layperson perception, free apps
- MeSH terms
- Body Weight Maintenance, Body Weight, Female, Health Promotion, Humans, Lebanon, Male, Surveys and Questionnaires, Universities, Young Adult, Mobile Applications
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