App design features important for diabetes self-management as determined by the self-determination theory on motivation: content analysis of survey responses from adults requiring insulin therapy
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Abstract
Background: Using a diabetes app can improve glycemic control; however, the use of diabetes apps is low, possibly due to design issues that affect patient motivation. Objective: This study aimed to describes how adults with diabetes requiring insulin perceive diabetes apps based on 3 key psychological needs (competence, autonomy, and connectivity) described by the Self-Determination Theory (SDT) on motivation. Methods: This was a qualitative analysis of data collected during a crossover randomized laboratory trial (N=92) testing 2 diabetes apps. Data sources included (1) observations during app testing and (2) survey responses on desired app features. Guided by the SDT, coding categories included app functions that could address psychological needs for motivation in self-management: competence, autonomy, and connectivity. Results: Patients described design features that addressed needs for competence, autonomy, and connectivity. To promote competence, electronic data recording and analysis should help patients track and understand blood glucose (BG) results necessary for planning behavior changes. To promote autonomy, BG trend analysis should empower patients to set safe and practical personalized behavioral goals based on time and the day of the week. To promote connectivity, app email or messaging function could share data reports and communicate with others on self-management advice. Additional themes that emerged are the top general app designs to promote positive user experience: patient-friendly; automatic features of data upload; voice recognition to eliminate typing data; alert or reminder on self-management activities; and app interactivity of a sound, message, or emoji change in response to keeping or not keeping BG in the target range. Conclusions: The application of the SDT was useful in identifying motivational app designs that address the psychological needs of competence, autonomy, and connectivity. User-centered design concepts, such as being patient-friendly, differ from the SDT because patients need a positive user experience (ie, a technology need). Patients want engaging diabetes apps that go beyond data input and output. Apps should be easy to use, provide personalized analysis reports, be interactive to affirm positive behaviors, facilitate data sharing, and support patient-clinician communication.
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This aligns with Self-Determination Theory, which emphasizes competence, autonomy, and relatedness in chronic disease management.
“This aligns with Self-Determination Theory, which emphasizes competence, autonomy, and relatedness in chronic disease management (39) (40) (41).”
From Impact of digital health on Type 2 diabetes management: a randomised controlled trial of the ‘TreC Diabete’ platform (TELEMECHRON Study) (2025) · cites this paper as [40]
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Cites
Three Approaches to Qualitative Content Analysis
Hsieh, H.-F., & Shannon, S. E. (2005) · Qualitative Health Research · doi:10.1177/1049732305276687 · Cited by 44,601 · see citing works
Ryan, R. M., & Deci, E. L. (2000) · American Psychologist · doi:10.1037//0003-066x.55.1.68 · Cited by 27,815 · see citing works
Intrinsic Motivation and Self-Determination in Human Behavior
Deci, E. L., & Ryan, R. M. (1985) · doi:10.1007/978-1-4899-2271-7 · Cited by 26,772 · see citing works
(1993) · Elsevier eBooks · doi:10.1016/c2009-0-21512-1 · Cited by 5,533 · see citing works
Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., Bosi, E., Buckingham, B. A., Cefalu, W. T., Close, K. L., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0028 · Cited by 4,032 · see citing works
Moral Identity and Developmental Theory
Lapsley, D. K. (2015) · Human Development · doi:10.1159/000435926 · Cited by 3,836 · see citing works
The motivational pull of video games: a self-determination theory approach
Ryan, R. M., Rigby, C. S., & Przybylski, A. (2006) · Motivation and Emotion · doi:10.1007/s11031-006-9051-8 · Cited by 3,332 · see citing works
A mathematical model of the finding of usability problems
Nielsen, J., & Landauer, T. K. (1993) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93 · doi:10.1145/169059.169166 · Cited by 1,961 · see citing works
Ryan, R. M., & Deci, E. L. (2006) · Journal of Personality · doi:10.1111/j.1467-6494.2006.00420.x · Cited by 1,642 · see citing works
Moltu, C., Stefansen, J., Svisdahl, M., & Veseth, M. (2012) · Disability and Rehabilitation · doi:10.3109/09638288.2012.656792 · Cited by 1,247 · see citing works
Supporting Autonomy to Motivate Patients With Diabetes for Glucose Control
Williams, G. C., Freedman, Z. R., & Deci, E. L. (1998) · Diabetes Care · doi:10.2337/diacare.21.10.1644 · Cited by 1,129 · see citing works
Finding usability problems through heuristic evaluation
Nielsen, J. (1992) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/142750.142834 · Cited by 1,066 · see citing works
The European Health Psychologist
Todorova, I. L. G., Araújo‐Soares, V., & Sniehotta, F. F. (2005) · European Health Psychologist · Cited by 777 · see citing works
6. Glycemic Targets: <i>Standards of Medical Care in Diabetes—2020</i>
American Diabetes Association (2020) · Diabetes Care · doi:10.2337/dc20-s006 · Cited by 744 · see citing works
Quinn, C. C., Shardell, M. D., Terrin, M. L., Barr, E. A., Ballew, S. H., & Gruber-Baldini, A. L. (2011) · Diabetes Care · doi:10.2337/dc11-0366 · Cited by 650 · see citing works
Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences
Anderson, K., Burford, O., & Emmerton, L. (2016) · PLOS ONE · doi:10.1371/journal.pone.0156164 · Cited by 502 · see citing works
Chomutare, T., Fernandez-Luque, L., Årsand, E., & Hartvigsen, G. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1874 · Cited by 451 · see citing works
Hou, C., Carter, B., Hewitt, J., Francisa, T., & Mayor, S. (2016) · Diabetes Care · doi:10.2337/dc16-0346 · Cited by 411 · see citing works
Wu, X., Guo, X., & Zhang, Z. (2019) · JMIR mHealth and uHealth · doi:10.2196/12297 · Cited by 249 · see citing works
Williams, G. C., Lynch, M., & Glasgow, R. E. (2007) · Health Psychology · doi:10.1037/0278-6133.26.6.728 · Cited by 236 · see citing works
DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients
Waki, K., Fujita, H., Uchimura, Y., Omae, K., Aramaki, E., Kato, S., Lee, H., Kobayashi, H., Kadowaki, T., & Ohe, K. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814526495 · Cited by 203 · see citing works
Fu, H., McMahon, S. K., Gross, C. R., Adam, T. J., & Wyman, J. F. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.06.016 · Cited by 173 · see citing works
Self-citationEffectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review
Eberle, C., Löhnert, M., & Stichling, S. (2021) · JMIR mHealth and uHealth · doi:10.2196/23477 · Cited by 160 · cited 1× · see citing works
“Despite more than 1100 apps available on the market, their adoption and use vary, possibly due to design issues [13,14] and variations in technology development [15].”
BackgroundGong, E., Baptista, S., Russell, A., Scuffham, P., Riddell, M., Speight, J., Bird, D., Williams, E., Lotfaliany, M., & Oldenburg, B. (2020) · Journal of Medical Internet Research · doi:10.2196/20322 · Cited by 159 · see citing works
On the Application of Motivation Theory to Human Factors/Ergonomics
Szalma, J. L. (2014) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814553471 · Cited by 154 · see citing works
Self-management interventions for type 2 diabetes: a systematic review
Heinrich, E., Schaper, N. C., & de Vries, N. K. (2010) · European Diabetes Nursing · doi:10.1002/edn.160 · Cited by 137 · see citing works
Kebede, M. M., & Pischke, C. R. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00135 · Cited by 136 · see citing works
Diabetes Care and Glycemic Control During the COVID-19 Pandemic in the United States
Patel, S. Y., McCoy, R. G., Barnett, M. L., Shah, N. D., & Mehrotra, A. (2021) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2021.3047 · Cited by 121 · see citing works
Orsama, A.-L., Lähteenmäki, J., Harno, K., Kulju, M., Wintergerst, E., Schachner, H., Stenger, P., Leppänen, J., Kaijanranta, H., Salaspuro, V., et al. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0056 · Cited by 117 · see citing works
Survey, U. S. G. (1972) · Antarctica A Keystone in a Changing World · doi:10.3133/ofr72415 · Cited by 95 · see citing works
Georgsson, M., & Staggers, N. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.11.008 · Cited by 89 · see citing works
Examining Diabetes Management Apps Recommended From a Google Search: Content Analysis
Jiménez, G., Lum, E., & Car, J. (2018) · JMIR mhealth and uhealth · doi:10.2196/11848 · Cited by 88 · see citing works
Diabetes Associated With Early Labor-Force Exit: A Comparison Of Sixteen High-Income Countries
Rumball‐Smith, J., Barthold, D., Nandi, A., & Heymann, J. S. (2014) · Health Affairs · doi:10.1377/hlthaff.2013.0518 · Cited by 85 · see citing works
Alfonsi, J., Choi, E., Arshad, T., Sammott, S.-A. S., Pais, V., Nguyen, C., Maguire, B. R., Stinson, J., & Palmert, M. R. (2020) · JMIR mhealth and uhealth · doi:10.2196/22074 · Cited by 84 · see citing works
Adu, M. D., Malabu, U. H., Malau‐Aduli, A. E. O., & Malau‐Aduli, B. S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208942 · Cited by 76 · see citing works
Böhm, A.-K., Jensen, M. L., Sørensen, M. R., & Stargardt, T. (2020) · JMIR mhealth and uhealth · doi:10.2196/22212 · Cited by 75 · see citing works
Dunton, G. F., & Atienza, A. A. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2008.10.019 · Cited by 73 · see citing works
Zhang, L., He, X., Shen, Y., Yu, H., Pan, J., Zhu, W., Zhou, J., & Bao, Y. (2019) · Journal of Medical Internet Research · doi:10.2196/15401 · Cited by 68 · see citing works
Medication management support in diabetes: a systematic assessment of diabetes self-management apps
Huang, Z., Lum, E., Jimenez, G., Semwal, M., Sloot, P., & Car, J. (2019) · BMC Medicine · doi:10.1186/s12916-019-1362-1 · Cited by 66 · see citing works
Nouwen, A., Ford, T. E., Balan, A. T., Twisk, J. W. R., Ruggiero, L., & White, D. (2011) · Health Psychology · doi:10.1037/a0024500 · Cited by 65 · see citing works
Graffigna, G., Barello, S., Bonanomi, A. G., & Menichetti, J. (2016) · Journal of Diabetes Research · doi:10.1155/2016/2974521 · Cited by 65 · see citing works
Evidence-based Mobile Medical Applications in Diabetes
Drincic, A., Prahalad, P., Greenwood, D. A., & Klonoff, D. C. (2016) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2016.06.001 · Cited by 63 · see citing works
Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda
Alaslawi, H., Berrou, I., Hamid, A. A., Alhuwail, D., & Aslanpour, Z. (2022) · JMIR Diabetes · doi:10.2196/28153 · Cited by 58 · see citing works
Larbi, D., Randine, P., Årsand, E., Antypas, K., Bradway, M., & Gabarrón, E. (2020) · Journal of Medical Internet Research · doi:10.2196/18480 · Cited by 52 · see citing works
Martos-Cabrera, M. B., Velando‐Soriano, A., Pradas‐Hernández, L., Suleiman‐Martos, N., la Fuente, G. A. C., Albendín‐García, L., & Gómez‐Urquiza, J. L. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9030693 · Cited by 46 · see citing works
Nørlev, J. T. D., Sondrup, K., Derosche, C., Hejlesen, O. K., & Hangaard, S. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211018236 · Cited by 37 · see citing works
Mobile Health Applications for Self-Management of Diabetes
Veazie, S., Winchell, K. A., Gilbert, J., Paynter, R. A., Ivlev, I., Eden, K., Nussbaum, K., Weiskopf, N. G., Guise, J., & Helfand, M. (2018) · doi:10.23970/ahrqepctb31 · Cited by 36 · see citing works
Feasibility of a Patient-Centered, Smartphone-Based, Diabetes Care System: A Pilot Study
Kim, E. K., Kwak, S. H., Baek, S., Lee, S. L., Jang, H. C., Park, K. S., & Cho, Y. M. (2016) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2016.40.3.192 · Cited by 35 · see citing works
Fu, H. N., Adam, T. J., Konstan, J. A., Wolfson, J. A., Clancy, T. R., & Wyman, J. F. (2019) · JMIR Diabetes · doi:10.2196/11462 · Cited by 32 · see citing works
Self-citationBults, M., van Leersum, C. M., Olthuis, T. J. J., Bekhuis, R. E. M., & den Ouden, M. E. M. (2021) · JMIR Diabetes · doi:10.2196/31451 · Cited by 32 · see citing works
Usability Engineering: Process, Products and Examples
Vilar, P. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21214 · Cited by 29 · see citing works
Padhye, N. S., & Wang, J. (2015) · doi:10.1109/embc.2015.7320159 · Cited by 23 · see citing works
Olivencia, S. B., Rao, A. H., Smith, A., & Sasangohar, F. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010127 · Cited by 21 · see citing works
Lewinski, A. A., Vaughn, J., Diane, A., Barnes, A. H., Crowley, M. J., Steinberg, D., Stevenson, J., Yang, Q., Vorderstrasse, A. A., Hatch, D., et al. (2021) · Journal of Nursing Scholarship · doi:10.1111/jnu.12667 · Cited by 20 · see citing works
Read, E. (2013) · Journal of Physical Activity and Health · doi:10.1123/jpah.2011-0381 · Cited by 8 · see citing works
Physician-Authored Feedback in a Type 2 Diabetes Self-management App: Acceptability Study
Potter, E., Burstein, F., Flynn, D., Hwang, I., Dinh, T., Goh, T. Y., Ebrahim, M. M., & Gilfillan, C. P. (2022) · JMIR Formative Research · doi:10.2196/31736 · Cited by 6 · see citing works
Ossai, C. I., & Wickramasinghe, N. S. (2022) · Informatics for Health and Social Care · doi:10.1080/17538157.2022.2097083 · Cited by 6 · see citing works
Narindrarangkura, P., Ye, Q., Boren, S. A., Khan, U., Simões, E. J., & Kim, M. S. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211043534 · Cited by 5 · see citing works
Holzer, R., Werner, F., Behrens, M., Volkery, C., & Brinkmann, C. K. (2022) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-022-01024-0 · Cited by 5 · see citing works
Virtual Nation: Telemedicine’s Breakout Moment
Tenderich, A. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820929359 · Cited by 4 · see citing works
Kathmann, W. (2016) · Diabetes aktuell · doi:10.1055/s-0042-118428 · Cited by 1 · see citing works
(2001) · Elsevier eBooks · doi:10.1016/b978-012670960-5/50001-7 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [37]Miles MB Huberman AM Saldaña J Qualitative Data Analysis: A Methods Sourcebook. 3rd ed 2014 Thousand Oaks, CA SAGE Publications
- [38]Lincoln YS Guba EG Naturalistic Inquiry 1985 Beverly Hills, CA SAGE Publications
Cited by
Sorted by citations
Kerr, D., Ahn, D., Waki, K., Wang, J., Breznen, B., & Klonoff, D. C. (2024) · Journal of Medical Internet Research · doi:10.2196/55757 · Cited by 101 · see citing works
“The advantages of digital technologies in managing glucose levels from patient’s perspective were recently summarized in 3 essential concepts: competence, autonomy, and connectivity [14].”
Gardner, D. S.-L., Saboo, B., Kesavadev, J., Mustafa, N., Villa, M. L., Mahoney, E., & Bajpai, S. (2025) · Diabetes Therapy · doi:10.1007/s13300-025-01692-0 · Cited by 24 · see citing works
Abdulhussein, F. S., Pinkney, S., Görges, M., van Rooij, T., & Amed, S. (2023) · JMIR Pediatrics and Parenting · doi:10.2196/46432 · Cited by 10 · see citing works
Obuseh, M., Anton, N. E., Gardiner, R., Chen, M., Narasimha, S., Stefanidis, D., & Yu, D. (2024) · PLoS ONE · doi:10.1371/journal.pone.0312125 · Cited by 10 · see citing works
Bober, T., Garvin, S., Krall, J. S., Zupa, M. F., Low, C. A., & Rosland, A.-M. M. (2025) · JMIR Diabetes · doi:10.2196/64505 · Cited by 6 · see citing works
Meng, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-61543-6_27 · Cited by 4 · see citing works
Unlocking the Potential of mHealth for Smoking Cessation: An Expert Viewpoint
Kashefi, A., Bosschaerts, K., Murphy, S. L., Hoecke, S. V., Abeele, M. V., Marez, L. D., Ongenae, F., & Conradie, P. D. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60458-4_5 · Cited by 3 · see citing works
Giovanazzi, A., Gios, L., Gentilini, M. A., Mastellaro, M., Bartolotta, P., Nicolussi Giacomaz, L., Eccher, C., & Inchiostro, S. (2025) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2025.1589548 · Cited by 2 · see citing works
Bannigan, G., McGrath, D., Matthews, J. J., & Duignan, C. (2024) · SN Computer Science · doi:10.1007/s42979-024-03014-w · Cited by 2 · see citing works
Sheen, F., Porter, L., Papakonstantinou, T., Ceka, M., & Bondaronek, P. (2025) · British Journal of Health Psychology · doi:10.1111/bjhp.70026 · Cited by 2 · see citing works
Designing Okuma: A Digital Health Tool for Type 2 Diabetes in Nigeria
Arueyingho, O., O’Kane, A. A., Marshall, P., Aprioku, J. S., Nkwo, M. S., & Shivam, R. (2025) · African Human Computer Interaction Conference (AfriCHI) · doi:10.1145/3757232.3757233 · Cited by 2 · see citing works
Bakrey, H., Abdelaziz, M. A. A., Magbool, F. F., Bakrey, A., Omer, O. I. A., Abdelrahim, I., & Abdu, A. (2025) · AAPS PharmSciTech · doi:10.1208/s12249-025-03285-3 · Cited by 1 · see citing works
User-Centered Usability Evaluation of the DiaCare App for Diabetes Self-Management: A uMARS Analysis
Kurnia, A., Said, F. M., & Panduragan, S. L. (2024) · Al-Rafidain Journal of Medical Sciences · doi:10.54133/ajms.v7i2.1499
Barriers to Sustained Engagement with Diabetes Self-Management Apps: A Focus Group Study
Alam, M. R., Subramaniam, S., Kang, L. C., Dhillon, J. S., & Ayyasamy, R. K. (2025) · International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) · doi:10.1109/3ict68299.2025.11442220
Liang, H., Liu, Y., Yang, J., Wang, X., Wong, F. Y. M., Zhao, K., & Fan, M. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2706908
- Authors
- Fu, H. N. C., Wyman, J. F., Peden-McAlpine, C. J., Draucker, C. B., Schleyer, T., & Adam, T. J.
- Affiliations
- Regenstrief Institute (US)
- University of Minnesota (US)
- Indiana University Indianapolis (US)
- Corresponding author
- Fu, Helen N C
- ORCID
- Venue
- JMIR Diabetes
- Publisher
- JMIR Publications Inc.
- Published
- 2023-02-24
- Volume
- 8
- Pages
- e38592
- ISSN
- 2371-4379 (ISSN-L)
- PMC
- PMC10007004
- OpenAlex
- W4312851651
- Cited by
- 15
- References
- 63
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 6 · 2023: 1
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Diabetes (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Robert Wood Johnson Foundation
- Eli Lilly and Company
- Indiana Clinical and Translational Sciences Institute (UL1TR002529)
- Lilly Endowment
- Sigma Theta Tau International
- National Institutes of Health (UL1TR002529)
- U.S. National Library of Medicine (T15LM012502)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- diabetes apps, diabetes self-management, self-determination theory, motivation, insulin therapy, app design features, competence, autonomy, connectivity, blood glucose monitoring, glycemic control, user experience, patient-centered design, data sharing
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