Cited by 299Mobile Health and mHealth ApplicationsUsability and User Interface DesignDigital Mental Health Interventions

The DOI matches its Crossref record; 48 of the 49 references it cites were found in a registry or an index.

Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology

Open access

Brown, William, Yen, Po-Yin, Rojas, Marlene, Schnall, Rebecca·2013·Journal of Biomedical Informatics

DOI 10.1016/j.jbi.2013.08.001PMC PMC3844064

Open this paper in CoChat — free account Open PDF

Abstract

Background Over two decades of research has been conducted using mobile devices for health related behaviors yet many of these studies lack rigor. There are few evaluation frameworks for assessing the usability of mHealth, which is critical as the use of this technology proliferates. As the development of interventions using mobile technology increase, future work in this domain necessitates the use of a rigorous usability evaluation framework.Methods We used two exemplars to assess the appropriateness of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating the usability of mHealth technology. In the first exemplar, we conducted 6 focus group sessions to explore adolescents' use of mobile technology for meeting their health Information needs. In the second exemplar, we conducted 4 focus group sessions following an Ecological Momentary Assessment study in which 60 adolescents were given a smartphone with pre-installed health-related applications (apps).Data analysis We coded the focus group data using the 9 concepts of the Health-ITUEM: Error prevention, Completeness, Memorability, Information needs, Flexibility/Customizability, Learnability, Performance speed, Competency, Other outcomes. To develop a finer granularity of analysis, the nine concepts were broken into positive, negative, and neutral codes. A total of 27 codes were created. Two raters (R1 and R2) initially coded all text and a third rater (R3) reconciled coding discordance between raters R1 and R2.Results A total of 133 codes were applied to Exemplar 1. In Exemplar 2 there were a total of 286 codes applied to 195 excerpts. Performance speed, Other outcomes, and Information needs were among the most frequently occurring codes.Conclusion Our two exemplars demonstrated the appropriateness and usefulness of the Health-ITUEM in evaluating mobile health technology. Further assessment of this framework with other study populations should consider whether Memorability and Error prevention are necessary to include when evaluating mHealth technology.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/j.jbi.2013.08.001

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Untitled work
(1992) · PubMed · Cited by 33,716
Untitled work
(1998) · Cited by 18,576
The Design of Everyday Things
Norman, D. A. (2016) · Vahlen eBooks · doi:10.15358/9783800648108 · Cited by 6,415
Designing the user interface: Strategies for effective human-computer interaction
(1993) · Applied Ergonomics · doi:10.1016/0003-6870(93)90471-k · Cited by 5,592
The MOS 36-ltem Short-Form Health Survey (SF-36): III. Tests of Data Quality, Scaling Assumptions, and Reliability Across Diverse Patient Groups
McHorney, C. A., Ware, J. E., Rachel Lu, J. F., & Sherbourne, C. D. (1994) · Medical Care · doi:10.1097/00005650-199401000-00004 · Cited by 4,458
Usability inspection methods
Nielsen, J. (1994) · Conference companion on Human factors in computing systems - CHI '94 · doi:10.1145/259963.260531 · Cited by 2,759
Usability inspection methods
Nielsen, J. (1995) · Conference companion on Human factors in computing systems - CHI '95 · doi:10.1145/223355.223730 · Cited by 2,620
Heuristic evaluation
Nielsen, J. (1994) · Cited by 1,778
The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766 · cited 1×
“[10 ] In another recent study, Whitlock and McLaughlin studied three apps for tracking blood glucose and found that each product may present a number of usability issues, including small text, poor color contrast and scrolling wheels, especially for older adults.”

Show all 49 references

Sorted by citations

The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study
Zhou, L., Bao, J., Setiawan, I. M. A., Saptono, A., & Parmanto, B. (2019) · JMIR mHealth and uHealth · doi:10.2196/11500 · Cited by 675
A user-centered model for designing consumer mobile health (mHealth) applications (apps)
Schnall, R., Rojas, M., Bakken, S., Brown, W., Carballo-Dieguez, A., Carry, M., Gelaude, D., Mosley, J. P., & Travers, J. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.02.002 · Cited by 583
Self-citation
Methods of usability testing in the development of eHealth applications: A scoping review
Maramba, I., Chatterjee, A., & Newman, C. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.03.018 · Cited by 602
IDEAS (integrate, design, assess, and share): a framework and toolkit of strategies for the development of more effective digital interventions to change health behavior
Mummah, S. A., Robinson, T. N., King, A. C., Gardner, C. D., & Sutton, S. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5927 · Cited by 388
Evaluating mobile phone applications for health behaviour change: A systematic review
McKay, F. H., Cheng, C. C., Wright, A., Shill, J., Stephens, H., & Uccellini, M. (2016) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x16673538 · Cited by 367
Patient Engagement and the Design of Digital Health
Birnbaum, F. A., Lewis, D. M., Rosen, R. K., & Ranney, M. L. (2015) · Academic Emergency Medicine · doi:10.1111/acem.12692 · Cited by 255
Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study
Schnall, R., Cho, H., & Liu, J. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.8851 · Cited by 239
Self-citation
Criteria for assessing the quality of mHealth apps: a systematic review
Nouri, R., R Niakan Kalhori, S., Ghazisaeedi, M., Marchand, G., & Yasini, M. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy050 · Cited by 231
Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials
Iribarren, S., Akande, T. O., Kamp, K., Barry, D., Kader, Y. G., & Suelzer, E. M. (2020) · JMIR mhealth and uhealth · doi:10.2196/21563 · Cited by 216
User-Centered App Adaptation of a Low-Intensity E-Mental Health Intervention for Syrian Refugees
Burchert, S., Alkneme, M. S., Bird, M., Carswell, K., Cuijpers, P., Hansen, P., Heim, E., Harper Shehadeh, M., Sijbrandij, M., van't Hof, E., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00663 · Cited by 160
“Following the Health-ITUEM deﬁnition (49), the “other outcomes” category was coded whenever participants made references to non-phone app technology (i.e., books), non-mobile resources (i.e., therapists, parents, teachers, siblings), and other health related entities not directly related to the…”
BackgroundMethodInfluential
Healthcare workers’ perceptions and experience on using mHealth technologies to deliver primary healthcare services: qualitative evidence synthesis
Odendaal, W., Goudge, J., Griffiths, F. E., Tomlinson, M., Leon, N., & Daniels, K. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011942 · Cited by 176
mHealth Technology as a Persuasive Tool for Treatment, Care and Management of Persons Living with HIV
Schnall, R., Henry, S. B., Rojas, M., Travers, J. L., & Carballo‐Diéguez, A. (2015) · AIDS and Behavior · doi:10.1007/s10461-014-0984-8 · Cited by 134
Self-citation
Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective
Pan, J., Ding, S., Wu, D., Yang, S., & Yang, J. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1550272 · Cited by 130
A design and evaluation framework for digital health interventions
Kowatsch, T., Otto, L., Harperink, S., Cotti, A., & Schlieter, H. (2019) · it - Information Technology · doi:10.1515/itit-2019-0019 · Cited by 129
Standards for Mobile Health–Related Apps: Systematic Review and Development of a Guide
Llorens-Vernet, P., & Miró, J. (2019) · JMIR mhealth and uhealth · doi:10.2196/13057 · Cited by 115
Development of a mHealth Real-Time Pain Self-Management App for Adolescents With Cancer: An Iterative Usability Testing Study
Jibb, L., Cafazzo, J. A., Nathan, P. C., Seto, E., Stevens, B., Nguyen, C., & Stinson, J. (2017) · Journal of Pediatric Oncology Nursing · doi:10.1177/1043454217697022 · Cited by 107
The Technology Acceptance Model for Resource-Limited Settings (TAM-RLS): A Novel Framework for Mobile Health Interventions Targeted to Low-Literacy End-Users in Resource-Limited Settings
Campbell, J. I., Aturinda, I., Mwesigwa, E., Burns, B., Santorino, D., Haberer, J. E., Bangsberg, D. R., Holden, R. J., Ware, N. C., & Siedner, M. J. (2017) · AIDS and Behavior · doi:10.1007/s10461-017-1765-y · Cited by 105
An ontology of and roadmap for mHealth research
Cameron, J. D., Ramaprasad, A., & Syn, T. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.01.007 · Cited by 102
The Electronic Patient Reported Outcome Tool: Testing Usability and Feasibility of a Mobile App and Portal to Support Care for Patients With Complex Chronic Disease and Disability in Primary Care Settings
Gray, C. S., Gill, A., Khan, A. I., Hans, P. K., Kuluski, K., & Cott, C. A. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5331 · Cited by 97
Usability Testing of an Interactive Virtual Reality Distraction Intervention to Reduce Procedural Pain in Children and Adolescents With Cancer
Birnie, K. A., Kulandaivelu, Y., Jibb, L., Hroch, P., Positano, K., Robertson, S., Campbell, F. A., Abla, O., & Stinson, J. (2018) · Journal of Pediatric Oncology Nursing · doi:10.1177/1043454218782138 · Cited by 95
Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review
Molina‐Recio, G., Molina‐Luque, R., Jiménez-García, A. M., Ventura-Puertos, P. E., Hernández-Reyes, A., & Romero‐Saldaña, M. (2020) · JMIR mhealth and uhealth · doi:10.2196/14376 · Cited by 89
Classifying obstructive sleep apnea using smartphones
Mardini, M., Aloul, F., Sagahyroon, A. A., & Al-Husseini, L. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.07.004 · Cited by 88
Evaluating the quality and safety of health-related apps and e-tools: Adapting the Mobile App Rating Scale and developing a quality assurance protocol
Roberts, A., Davenport, T. A., Wong, T., Moon, H.-W., Hickie, I. B., & LaMonica, H. M. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100379 · Cited by 99
Supply and Demand in mHealth Apps for Persons With Multiple Sclerosis: Systematic Search in App Stores and Scoping Literature Review
Giunti, G., Fernández, E., Zubiete, E. D., & Rivera-Romero, O. (2018) · JMIR mhealth and uhealth · doi:10.2196/10512 · Cited by 79
An overview on the emerging area of identification, characterization, and assessment of health apps
Paglialonga, A., Lugo, A., & Santoro, E. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.05.017 · Cited by 77
Eye-tracking retrospective think-aloud as a novel approach for a usability evaluation
Cho, H., Powell, D., Pichon, A., Kuhns, L. M., Garofalo, R., & Schnall, R. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.07.010 · Cited by 79
Self-citation
User-Centered Design Process of an mHealth App for Health Professionals: Case Study
Saparamadu, A. A. D. N. S., Fernando, P., Zeng, P., Teo, H., Goh, A., Lee, J. M. Y., & Lam, C. W. (2020) · JMIR mhealth and uhealth · doi:10.2196/18079 · Cited by 76
Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers
Hensher, M., Cooper, P., Dona, S. W. A., Angeles, M. R., Nguyen, D., Heynsbergh, N., Chatterton, M. L., & Peeters, A. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab041 · Cited by 80
Mobile PHRs Compliance with Android and iOS Usability Guidelines
Zapata, B. C., Niñirola, A. H., Idri, A., Fernández‐Alemán, J. L., & Toval, A. (2014) · Journal of Medical Systems · doi:10.1007/s10916-014-0081-6 · Cited by 69
More Stamina, a Gamified mHealth Solution for Persons with Multiple Sclerosis: Research Through Design
Giunti, G., Mylonopoulou, V., & Rivera-Romero, O. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9437 · Cited by 72
Usability of a Smartphone Application to Support the Prevention and Early Intervention of Anxiety in Youth
Stoll, R. D., Piña, A., Gary, K. A., & Amresh, A. (2017) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2016.11.002 · Cited by 64
PATHway-I: Feasibility, acceptability and clinical effectiveness of a technology enabled cardiac rehabilitation platform. A randomized controlled trial. (Preprint)
Claes, J., Cornelissen, V., McDermott, C. M., Moyna, N. M., Pattyn, N., Cornelis, N., Gallagher, A., McCormack, C. M., Newton, H., Gillain, A., et al. (2019) · Journal of Medical Internet Research · doi:10.2196/14221 · Cited by 60
A Multi-step Usability Evaluation of a Self-Management App to Support Medication Adherence in Persons Living with HIV
Beauchemin, M., Gradilla, M., Baik, D., Cho, H., & Schnall, R. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.11.012 · Cited by 58
Self-citation
Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach
Griffin, L., Lee, D., Jaisle, A., Carek, P., George, T., Laber, E., Lok, B., Modave, F., Paskett, E., & Krieger, J. (2019) · JMIR Human Factors · doi:10.2196/12700 · Cited by 57
Healthcare support for underserved communities using a mobile social media platform
Miah, S. J., Hasan, N., Hasan, R., & Gammack, J. G. (2017) · Information Systems · doi:10.1016/j.is.2017.01.001 · Cited by 58
A framework for m-health service development and success evaluation
Sadegh, S. S., Saadat, P. K., Sepehri, M. M., & Assadi, V. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.01.003 · Cited by 54
Review and analysis of existing mobile phone applications for health care–associated infection prevention
Schnall, R., & Iribarren, S. (2015) · American Journal of Infection Control · doi:10.1016/j.ajic.2015.01.021 · Cited by 46
Self-citation
Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps
Stach, M., Kraft, R., Probst, T., Meßner, E.-M., Terhorst, Y., Baumeister, H., Schickler, M., Reichert, M., Sander, L., & Pryss, R. C. (2020) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms49503.2020.00087 · Cited by 45
PHR open platform based smart health service using distributed object group framework
Chung, K., & Park, R. C. (2016) · Cluster Computing · doi:10.1007/s10586-016-0531-7 · Cited by 40
Shaking the usability tree: why usability is not a dead end, and a constructive way forward
Borsci, S., Federici, S., Malizia, A., & Filippis, M. L. D. (2018) · Behaviour and Information Technology · doi:10.1080/0144929x.2018.1541255 · Cited by 43
A Mobile Sexual Health App on Empowerment, Education, and Prevention for Young Adult Men (MyPEEPS Mobile): Acceptability and Usability Evaluation
Gannon, B. “., Davis, R., Kuhns, L. M., Rodriguez, R. G., Garofalo, R., & Schnall, R. (2020) · JMIR Formative Research · doi:10.2196/17901 · Cited by 39
Self-citation
Development of a Mobile App for Self-Care Against COVID-19 Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model: Methodological Study
Saeidnia, H. R., Kozak, M., Ausloos, M., Herţeliu, C., Mohammadzadeh, Z., Ghorbi, A., Karajizadeh, M., & Hassanzadeh, M. (2022) · JMIR Formative Research · doi:10.2196/39718 · Cited by 50
Building a Digital Bridge to Support Patient-Centered Care Transitions From Hospital to Home for Older Adults With Complex Care Needs: Protocol for a Co-Design, Implementation, and Evaluation Study
Gray, C. S., Tang, T., Armas, A., Backo-Shannon, M., Harvey, S., Kuluski, K., Loganathan, M., Nie, J. X., Petrie, J. T., Ramsay, T., et al. (2020) · JMIR Research Protocols · doi:10.2196/20220 · Cited by 36
Adapting Evidence-Based Treatments for Digital Technologies: a Critical Review of Functions, Tools, and the Use of Branded Solutions
Tuerk, P. W., Schaeffer, C. M., Mcguire, J. F., Larsen, M. A., Capobianco, N. B., & Piacentini, J. C. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1092-2 · Cited by 34
The Performance of mHealth in Cancer Supportive Care: A Research Agenda
Nasi, G., Cucciniello, M., & Guerrazzi-Young, C. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3764 · Cited by 35
Usability and Usefulness of a Mobile Health App for Pregnancy-Related Work Advice: Mixed-Methods Approach
van Beukering, M. D. M., Velu, A. V., van den Berg, L., Kok, M., Mol, B. W., Frings‐Dresen, M. H. W., de Leeuw, R. A., van der Post, J., & Peute, L. (2018) · JMIR mhealth and uhealth · doi:10.2196/11442 · Cited by 36
Child and caregiver experiences and perceptions of asthma self-management
Kelada, L., Molloy, C. J., Hibbert, P. D., Wiles, L., Gardner, C., Klineberg, E., Braithwaite, J., & Jaffé, A. (2021) · npj Primary Care Respiratory Medicine · doi:10.1038/s41533-021-00253-9 · Cited by 35
Information visualizations of symptom information for patients and providers: a systematic review
Lor, M., Koleck, T. A., & Henry, S. B. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy152 · Cited by 34
Electronic Health Physical Activity Behavior Change Intervention to Self-Manage Cardiovascular Disease: Qualitative Exploration of Patient and Health Professional Requirements
Walsh, D. M., Moran, K., Cornelissen, V., Buys, R., Cornelis, N., & Woods, C. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9181 · Cited by 33
Development of a Mobile Health Application for HIV Prevention Among At-Risk Populations in Urban Settings in East Africa: A Participatory Design Approach
Mauka, W., Mbotwa, C. H., Moen, K., Lichtwarck, H. O., Haaland, I., Kazaura, M. R., Leyna, G. H., Leshabari, M. T., & Mmbaga, E. J. (2021) · JMIR Formative Research · doi:10.2196/23204 · Cited by 34
The Mobile App Development and Assessment Guide (MAG): Delphi-Based Validity Study
Llorens-Vernet, P., & Miró, J. (2020) · JMIR mhealth and uhealth · doi:10.2196/17760 · Cited by 35
Enabling Access to Medical and Health Education in Rwanda Using Mobile Technology: Needs Assessment for the Development of Mobile Medical Educator Apps
Rusatira, J. C., Tomaszewski, B. M., Dusabejambo, V., Ndayiragije, V., Gonsalves, S., Sawant, A., Mumararungu, A., Gasana, G., Amendezo, E., Haake, A. R., et al. (2016) · JMIR Medical Education · doi:10.2196/mededu.5336 · Cited by 32
Does Social User Experience Improve Motivation for Runners?
Spillers, F., & Asimakopoulos, S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07638-6_35 · Cited by 33
PATHway I: design and rationale for the investigation of the feasibility, clinical effectiveness and cost-effectiveness of a technology-enabled cardiac rehabilitation platform
Claes, J., Buys, R., Woods, C. B., Briggs, A. H., Geue, C., Aitken, M. L., Moyna, N. M., Moran, K., McCaffrey, N., Chouvarda, I., et al. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-016781 · Cited by 32
A model for implementing sustainable mHealth applications in a resource‐constrained setting: A case of Malawi
Pankomera, R., & van Greunen, D. (2018) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/isd2.12019 · Cited by 30
The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review
Molina‐Recio, G., García‐Hernández, L., Molina‐Luque, R., & Salas‐Morera, L. (2016) · BioMedical Engineering OnLine · doi:10.1186/s12938-016-0185-y · Cited by 31
Usability Testing of a mHealth App to Support Self-Management of HIV-Associated Non-AIDS Related Symptoms
Stonbraker, S., Cho, H., Hermosi, G., Pichon, A., & Schnall, R. (2018) · Studies in health technology and informatics · doi:10.3233/978-1-61499-872-3-106 · Cited by 30
Self-citation
A Uniquely Targeted, Mobile App-Based HIV Prevention Intervention for Young Transgender Women: Adaptation and Usability Study
Kuhns, L. M., Hereth, J. E., Garofalo, R., Hidalgo, M. A., Johnson, A. K., Schnall, R., Reisner, S. L., Belzer, M. E., & Mimiaga, M. J. (2021) · Journal of Medical Internet Research · doi:10.2196/21839 · Cited by 29
Self-citation
Time to act mature—Gearing eHealth evaluations towards technology readiness levels
Jansen-Kosterink, S. M., Broekhuis, M., & van Velsen, L. (2022) · Digital Health · doi:10.1177/20552076221113396 · Cited by 29
The UX of amila pregnancy on mobile device
Hussain, A., Mkpojiogu, E. O. C., Fadzil, N. M., & Hassan, N. M. (2017) · AIP conference proceedings · doi:10.1063/1.5005394 · Cited by 28
Development of an intervention tool for precision oral self-care: Personalized and evidence-based practice for patients with periodontal disease
Chang, W., Lo, S.-Y., Kuo, C.-L., Wang, Y.-L., & Hsiao, H.-C. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225453 · Cited by 29
Continued Intention of mHealth Care Applications among the Elderly: An Enabler and Inhibitor Perspective
Tandon, U., Ertz, M., & Shashi, S. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2232977 · Cited by 31
Challenges and solutions implementing an SMS text message-based survey CASI and adherence reminders in an international biomedical HIV PrEP study (MTN 017)
Brown, W., Giguere, R., Sheinfil, A. Z., Ibitoye, M., Balán, I. C., Ho, T., Brown, B., Quispe, L., Sukwicha, W., Lama, J. R., et al. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.02.018 · Cited by 27
Self-citation
Usability, Usefulness, and Acceptance of a Novel, Portable Rehabilitation System (mRehab) Using Smartphone and 3D Printing Technology: Mixed Methods Study
Bhattacharjya, S., Cavuoto, L. A., Reilly, B., Xu, W., Subryan, H., & Langan, J. (2021) · JMIR Human Factors · doi:10.2196/21312 · Cited by 27
Does the use of structured reporting improve usability? A comparative evaluation of the usability of two approaches for findings reporting in a large-scale telecardiology context
Lacerda, T. C., von Wangenheim, C. G., von Wangenheim, A., & Giuliano, I. D. C. B. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.07.002 · Cited by 27
Understanding the predisposing, enabling, and reinforcing factors influencing the use of a mobile-based HIV management app: A real-world usability evaluation
Cho, H., Porras, T., Baik, D., Beauchemin, M., & Schnall, R. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.06.007 · Cited by 26
Self-citation
Método de valoración de aplicaciones móviles de salud en español: el índice iSYScore
Grau, I., Kostov, B., Gallego, J. A., Grajales, F. J., III, Fernández-Luque, L., & Sisó‐Almirall, A. (2016) · Medicina de Familia SEMERGEN · doi:10.1016/j.semerg.2015.12.001 · Cited by 26
Could telemedicine enhance traditional medicine practices?
Kamsu-Foguem, B., & Foguem, C. (2014) · European Research in Telemedicine / La Recherche Européenne en Télémédecine · doi:10.1016/j.eurtel.2014.08.001 · Cited by 25
Development and initial evaluation of a mobile application to help with mindfulness training and practice
Plaza García, I., Sánchez, C. M., Espílez, Á. S., García-Magariño, I., Guillén, G. A., & García-Campayo, J. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.05.018 · Cited by 25
Community-based, cluster-randomized pilot trial of a cardiovascular mHealth intervention: Rationale, design, and baseline findings of the FAITH! Trial
Brewer, L. C., Jenkins, S., Hayes, S. N., Kumbamu, A., Jones, C., Burke, L. E., Cooper, L. A., & Patten, C. A. (2022) · American Heart Journal · doi:10.1016/j.ahj.2022.01.009 · Cited by 27
Searching for Sustainability in Health Systems: Toward a Multidisciplinary Evaluation of Mobile Health Innovations
Degavre, F., Kieffer, S., Bol, D., Dekimpe, R., Desterbecq, C., Pirson, T., Sandu, G., & Tubeuf, S. (2022) · Sustainability · doi:10.3390/su14095286 · Cited by 25
Quality Principles of App Description Texts and Their Significance in Deciding to Use Health Apps as Assessed by Medical Students: Survey Study
Albrecht, U., Malinka, C., Long, S., Raupach, T., Hasenfuss, G. P., & von Jan, U. (2019) · JMIR mhealth and uhealth · doi:10.2196/13375 · Cited by 25
Virtual Reality App for Treating Eating Behavior in Eating Disorders: Development and Usability Study
Langlet, B. S., Odegi, D., Zandian, M., Nolstam, J., Södersten, P., & Bergh, C. E. K. (2021) · JMIR Serious Games · doi:10.2196/24998 · Cited by 24
Legalization of recreational cannabis: Facilitators and barriers to switching from an illegal to a legal source
Robertson, K., & Thyne, M. A. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101639 · Cited by 24
mHealth Intervention for Promoting Hypertension Self-management Among African American Patients Receiving Care at a Community Health Center: Formative Evaluation of the FAITH! Hypertension App
Brewer, L. C., Jones, C., Slusser, J., Pasha, M., Lalika, M., Chacon, M., Takawira, P., Shanedling, S., Erickson, P., Woods, C., et al. (2023) · JMIR Formative Research · doi:10.2196/45061 · Cited by 25
Quality assessment of mHealth apps: a scoping review
Giebel, G. D., Speckemeier, C., Schrader, N. F., Abels, C., Plescher, F., Hillerich, V., Wiedemann, D., Börchers, K., Wasem, J., Blase, N., et al. (2024) · Frontiers in Health Services · doi:10.3389/frhs.2024.1372871 · Cited by 31
Perspectives and preferences for a mobile health tool designed to facilitate HPV vaccination among young men who have sex with men
Fontenot, H. B., Rosenberger, J. G., McNair, K. T., Mayer, K. H., & Zimet, G. D. (2019) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2019.1568156 · Cited by 24
Converting and expanding a mobile support intervention: Focus group and field-testing findings from individuals in active tuberculosis treatment
Iribarren, S., Rodriguez, Y., Lin, L., Chirico, C., Discacciati, V. R., Schnall, R., & Demiris, G. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.104057 · Cited by 28
Self-citation
The Acceptability and Effectiveness of Web-Based Developmental Surveillance Programs: Rapid Review
Baker, J. R., Kohlhoff, J. R., Onobrakpor, S.-I., Woolfenden, S. R., Smith, R., Knebel, C., & Eapen, V. (2020) · JMIR mhealth and uhealth · doi:10.2196/16085 · Cited by 23
Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel
Cresswell, K. M., de Keizer, N. F., Magrabi, F., Williams, R., Rigby, M., Prgomet, M., Kukhareva, P., Wong, Z. S.-Y., Scott, P., Craven, C. K., et al. (2024) · Journal of Medical Internet Research · doi:10.2196/46407 · Cited by 26
A Review and Assessment Framework for Mobile-Based Emergency Intervention Apps
Yablowitz, M. G., & Schwartz, D. G. (2018) · ACM Computing Surveys · doi:10.1145/3145846 · Cited by 23
Usability Evaluation of Mobile Health Application from AI Perspective in Rural Areas of Pakistan
Dahri, A. S., Al-Athwari, A., & Hussain, A. (2019) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v13i11.11513 · Cited by 20
Adaptation of the MAUQ and usability evaluation of a mobile phone–based system to promote eye donation
Chumkasian, W., Fernandez, R. S., Win, K. T., Petsoglou, C., & Lord, H. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104462 · Cited by 19
The eClinical Care Pathway Framework: a novel structure for creation of online complex clinical care pathways and its application in the management of sexually transmitted infections
Gibbs, J., Sutcliffe, L. J., Gkatzidou, V., HONE, K. S., Ashcroft, R. E., Harding-Esch, E. M., Lowndes, C. M., Sadiq, S. T., Sonnenberg, P., & Estcourt, C. S. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0338-8 · Cited by 19
Usability factors of mobile health application for chronic diseases
Zahra, F., Hussain, A., & Mohd, H. (2016) · AIP Conference Proceedings · doi:10.1063/1.4960948 · Cited by 18
User-Centered Design of A Novel Risk Prediction Behavior Change Tool Augmented With an Artificial Intelligence Engine (MyDiabetesIQ): A Sociotechnical Systems Approach
Shields, C., Cunningham, S. G., Wake, D. J., Fioratou, E., Brodie, D., Philip, S., & Conway, N. (2021) · JMIR Human Factors · doi:10.2196/29973 · Cited by 18
Evaluating Usability of Pregnancy Tracker Applications in Bangladesh: A Heuristic and Semiotic Evaluation
Kundu, S., Kabir, A., & Islam, M. N. (2020) · IEEE Region Humanitarian Technology Conference · doi:10.1109/r10-htc49770.2020.9357061 · Cited by 17
Design and Testing of a Smartphone Application for Real-Time Self-Tracking Diabetes Self-Management Behaviors
Groat, D., Soni, H., Grando, A., Thompson, B., Kaufman, D. R., & Cook, C. B. (2018) · Applied Clinical Informatics · doi:10.1055/s-0038-1660438 · Cited by 17
Evaluation of two mobile health apps for patients with breast cancer using the Mobile Application Rating Scale
Wright, A. (2021) · mHealth · doi:10.21037/mhealth-20-161 · Cited by 16
Exploring Usability Issues of a Smartphone-Based Physician-to-Physician Teleconsultation App in an Orthopedic Clinic: Mixed Methods Study
(2021) · doi:10.2196/31130 · Cited by 16
mJustice: Preliminary Development of a Mobile App for Medical-Forensic Documentation of Sexual Violence in Low-Resource Environments and Conflict Zones
Mishori, R., Anastario, M. P., Naimer, K., Varanasi, S., Ferdowsian, H. R., Abel, D., & Chugh, K. (2017) · Global Health Science and Practice · doi:10.9745/ghsp-d-16-00233 · Cited by 18
A feasibility study of Korean Mobile Application Rating Scale (MARS) for evaluating the quality of blood pressure management apps
Zhang, H., Gil, T. S., & Kang, E. (2018) · 보건교육·건강증진학회지 · doi:10.14367/kjhep.2018.35.3.41 · Cited by 15
Geriatric Helper: An mHealth Application to Support Comprehensive Geriatric Assessment
Silva, S., Felgueiras, R., & Oliveira, I. (2018) · Sensors · doi:10.3390/s18041285 · Cited by 16
Smartphone Sensors for Monitoring Cancer-Related Quality of Life: App Design, EORTC QLQ-C30 Mapping and Feasibility Study in Healthy Subjects
Cuesta, S. A., Sánchez-García, Á., Conejero, J. A., Sáez, C., Rivero-Rodriguez, A., & Garcia-Gomez, J. M. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16030461 · Cited by 15
Towards a Conceptual Model to Evaluate usability of Digital Government Services in Malaysia
Naswir, R. Y., Maarop, N. B., Hasan, M., Daud, S. M., Narayana, G., & Magalingam, P. (2019) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2019.0100438 · Cited by 15
Understanding the insight of factors affecting mHealth adoption
Kaium, M. A., Bao, Y.-K., Alam, M., Hasan, N., & Hoque, M. R. (2019) · International Journal of Research In Business and Social Science · doi:10.20525/ijrbs.v8i6.522 · Cited by 14
Dietary Application for the Management of Patients with Hemodialysis: A Formative Development Study
Khoury, C. F. E., Karavetian, M., Halfens, R. J. G., Crutzen, R., Chaar, D. E., & Schols, J. M. G. A. (2019) · Healthcare Informatics Research · doi:10.4258/hir.2019.25.4.262 · Cited by 15
Validity and Reliability of the Korean Version of the Health Information Technology Usability Evaluation Scale: Psychometric Evaluation
Lee, J., & Schnall, R. (2021) · JMIR Medical Informatics · doi:10.2196/28621 · Cited by 14
Self-citation
Developing a Digital Health Intervention for Conversation Skills After Brain Injury (convers-ABI-lity) Using a Collaborative Approach: Mixed Methods Study
Avramović, P., Rietdijk, R., Kenny, B., Power, E., & Togher, L. (2023) · Journal of Medical Internet Research · doi:10.2196/45240 · Cited by 14
The WOMEN-UP Solution, a Patient-Centered Innovative e-Health Tool for Pelvic Floor Muscle Training: Qualitative and Usability Study during Early-Stage Development
Anglès‐Acedo, S., Frías, L. L., Soler, V., Alonso, J. F., Kastelein, A. W., de Graaf, B. C., Vodegel, E. V., Tervo, J., Băban, A., & Espuña‐Pons, M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18157800 · Cited by 14

Authors: Brown, W., Yen, P.-Y., Rojas, M., & Schnall, R.
Affiliations: New York State Psychiatric Institute (US)
The Ohio State University (US)
Columbia University (US)
Corresponding author: Schnall, Rebecca
ORCID: Brown, William
Yen, Po-Yin
Schnall, Rebecca
Venue: Journal of Biomedical Informatics
Publisher: Elsevier BV
Published: 2013-12
Volume: 46
Issue: 6
Pages: 1080-1087
ISSN: 1532-0464 (ISSN-L)
DOI: 10.1016/j.jbi.2013.08.001
PMC: PMC3844064
OpenAlex: W2010233908
Cited by: 299
References: 49
Citations by year: 2026: 15 · 2025: 21 · 2024: 21 · 2023: 23 · 2022: 22 · 2021: 25 · 2020: 32 · 2019: 36 · 2018: 38 · 2017: 21 · 2016: 25 · 2015: 12 · 2014: 8
FWCI: 27.03
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 365 d)
Locations: Journal of Biomedical Informatics (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (KL2TR000081, TR000081)
National Institute of Nursing Research (P30NR010677)
U.S. National Library of Medicine (T15LM007079)
National Center for Research Resources (RR 024157, KL2RR024157)
National Center for Advancing Translational Sciences (TR000081)
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, mobile health technology, usability evaluation, evaluation framework, adolescents, mobile health apps, health information needs, learnability, memorability, error prevention, performance speed, ecological momentary assessment
MeSH terms: Evaluation Studies as Topic, Humans, Information Services, Focus Groups, Telemedicine

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

Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks