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Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study
Open accessAbstract
BACKGROUND: The use of mHealth apps has shown improved health outcomes in adult populations with type 2 diabetes mellitus. However, this has not been shown in the adolescent type 1 population, despite their predisposition to the use of technology. We hypothesized that a more tailored approach and a strong adherence mechanism is needed for this group. OBJECTIVE: To design, develop, and pilot an mHealth intervention for the management of type 1 diabetes in adolescents. METHODS: We interviewed adolescents with type 1 diabetes and their family caregivers. Design principles were derived from a thematic analysis of the interviews. User-centered design was then used to develop the mobile app bant. In the 12-week evaluation phase, a pilot group of 20 adolescents aged 12-16 years, with a glycated hemoglobin (HbA(1c)) of between 8% and 10% was sampled. Each participant was supplied with the bant app running on an iPhone or iPod Touch and a LifeScan glucometer with a Bluetooth adapter for automated transfers to the app. The outcome measure was the average daily frequency of blood glucose measurement during the pilot compared with the preceding 12 weeks. RESULTS: Thematic analysis findings were the role of data collecting rather than decision making; the need for fast, discrete transactions; overcoming decision inertia; and the need for ad hoc information sharing. Design aspects of the resultant app emerged through the user-centered design process, including simple, automated transfer of glucometer readings; the use of a social community; and the concept of gamification, whereby routine behaviors and actions are rewarded in the form of iTunes music and apps. Blood glucose trend analysis was provided with immediate prompting of the participant to suggest both the cause and remedy of the adverse trend. The pilot evaluation showed that the daily average frequency of blood glucose measurement increased 50% (from 2.4 to 3.6 per day, P = .006, n = 12). A total of 161 rewards (average of 8 rewards each) were distributed to participants. Satisfaction was high, with 88% (14/16 participants) stating that they would continue to use the system. Demonstrating improvements in HbA(1c) will require a properly powered study of sufficient duration. CONCLUSIONS: This mHealth diabetes app with the use of gamification incentives showed an improvement in the frequency of blood glucose monitoring in adolescents with type 1 diabetes. Extending this to improved health outcomes will require the incentives to be tied not only to frequency of blood glucose monitoring but also to patient actions and decision making based on those readings such that glycemic control can be improved.
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“Cafazzo et al. (2012) saw rewards (in the form of points that could be redeemed for prizes) to contribute to the frequency of blood glucose measurement among individuals with type 1 diabetes.”
From Gamification for health and wellbeing: A systematic review of the literature (2016) · cites this paper as Cafazzo et al. (2012)
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“Gamification was found to have a positive influence on healthcare utilization (Allam et al., 2015), the reduction of medication misuse (Allam et al., 2015, Riva et al., 2014) and blood glucose monitoring (Cafazzo et al., 2012).”
From Gamification for health and wellbeing: A systematic review of the literature (2016) · cites this paper as Cafazzo et al., 2012
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Citations
Cites
Health Belief Model and Personal Health Behavior
Becker, M. H. (1976) · Medical Entomology and Zoology · Cited by 3,065
Lorig, K. R., Sobel, D. S., Stewart, A. L., Brown, B. W., Bandura, A., Ritter, P., Gonzalez, V. M., Laurent, D. D., & Holman, H. R. (1999) · Medical Care · doi:10.1097/00005650-199901000-00003 · Cited by 2,261
Chronic disease management: what will it take to improve care for chronic illness?
Eh, W. (1998) · PubMed · Cited by 2,095
Heron, K. E., & Smyth, J. M. (2010) · British Journal of Health Psychology · doi:10.1348/135910709x466063 · Cited by 1,438
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
Karter, A. J., Ackerson, L. M., Darbinian, J. A., D’Agostino, R. B., Ferrara, A., Liu, J., & Selby, J. V. (2001) · The American Journal of Medicine · doi:10.1016/s0002-9343(01)00742-2 · Cited by 595
Assessing Family Sharing of Diabetes Responsibilities
Anderson, B. J., Auslander, W., Jung, K. C., Miller, J. P., & Santiago, J. V. (1990) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/15.4.477 · Cited by 496
Skinner, H. A., Biscope, S., Poland, B. D., & Goldberg, E. (2003) · Journal of Medical Internet Research · doi:10.2196/jmir.5.4.e32 · Cited by 371
Association between adherence and glycemic control in pediatric type 1 diabetes: a meta-analysis
Hood, K. K., Peterson, C. M., Rohan, J. M., & Drotar, D. (2009) · Pediatrics · doi:10.1542/peds.2009-0207 · Cited by 347
Flagged first, then by citations
Research works printed but not linked: 2
- Wagner, EH, 1998, Eff Clin Pract, 1, 2
- Cafazzo, JA, 2010, Biomed Instrum Technol, Suppl Home Healthcare, 47
Cited by
Sorted by citations
Items 501–600 of 675
Mavletova, A., Gavrilov, K., & Tholmogorova, T. (2018) · Journal of Risk Research · doi:10.1080/13669877.2018.1501592 · Cited by 3
To Improve Supportive Care for Patients Taking Oral Anticancer Agents
He, L., Song, T., Jiang, Y., Yu, P., Song, L., & Gong, Y. (2022) · Studies in health technology and informatics · doi:10.3233/shti220137 · Cited by 3
A Literature Review and an Investigation on Gamified Mobile Apps in Health and Fitness
Saprikis, V., & Vlachopoulou, M. (2023) · Springer proceedings in business and economics · doi:10.1007/978-3-031-24294-6_24 · Cited by 4
Wang, R., Rouleau, G., Booth, G. L., Brazeau, A., El‐Dassouki, N., Taylor, M., Cafazzo, J. A., Greenberg, M., Nakhla, M. M., Shulman, R. M., et al. (2023) · JMIR Research Protocols · doi:10.2196/46115 · Cited by 5
Self-citationDeveloping and evaluating a gamified information retrieval system for Generation Z
Li, Y., He, P., Yuan, X., & Hopfgartner, F. (2023) · Library & Information Science Research · doi:10.1016/j.lisr.2023.101270 · Cited by 3
Design and Evaluation of a Comprehensive Assistance App for Early-Stage Alzheimer's Patients
Rui, N. (2024) · Highlights in Science Engineering and Technology · doi:10.54097/y7bxyv71 · Cited by 3
Kamboj, N., Metcalfe, K. A., Chu, C. H., & Conway, A. (2024) · Applied Clinical Informatics · doi:10.1055/s-0044-1787755 · Cited by 3
A framework of evaluation of mobile wellness apps for use in a clinical setting
Pais, S., Parry, D., & Rowan, J. (2017) · IEEE Region 10 Symposium (TENSYMP) · doi:10.1109/tenconspring.2017.8069978 · Cited by 4
Meidani, Z., Nabovati, E., Gohari, S., & Chopannejad, S. (2018) · Journal of Comprehensive Pediatrics · doi:10.5812/compreped.66571 · Cited by 3
Measuring Mental Effort for Creating Mobile Data Collection Applications
Schobel, J., Probst, T., Reichert, M., Schlee, W., Schickler, M., Kestler, H. A., & Pryss, R. C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051649 · Cited by 3
Aplicaciones móviles de calidad que promueven hábitos saludables en menores
Hueros, A. M. D., & Morales, C. D. (2022) · EDMETIC · doi:10.21071/edmetic.v11i1.13832 · Cited by 3
Oh, W., Park, I. T., Han, J., Lee, E., & Lee, A. S. Y. (2023) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2023.04.008 · Cited by 3
Afshar, M., & Ajorpaz, N. M. (2012) · Nursing and Midwifery Studies · doi:10.5812/nms.7892 · Cited by 3
Vincent, C., & BLANDFORD, A. E. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.04.012 · Cited by 3
DiabSoft: A System for Diabetes Prevention, Monitoring, and Treatment
Cruz-Ramos, N. A., Alor‐Hernández, G., Sánchez-Cervantes, J. L., Paredes‐Valverde, M. A., & Salas‐Zárate, M. D. P. (2018) · Studies in computational intelligence · doi:10.1007/978-3-319-74002-7_7 · Cited by 3
Gamification: Influencing value-perception of target behaviours.
Chen, V. H. H., & Tan, R. (2017) · Cited by 3
Gentilini, L. (2019) · Current Research in Diabetes & Obesity Journal · doi:10.19080/crdoj.2019.11.555824 · Cited by 2
Applying behavioural insights to challenges in health policy
King, D. (2014) · Spiral (Imperial College London) · doi:10.25560/28411 · Cited by 3
McCarthy, G. (2018) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.17067899 · Cited by 3
Can Apps Make Air Pollution Visible? User Engagement with Air Quality InformationPreprint
Delmas, M. A., & Kohli, A. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3353132 · Cited by 3
The role of playfulness in gamification for health behavior motivation
Qiu, Y. (2024) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/176087 · Cited by 3
Sherazi, B. A., Läer, S., Hasanbegović, S., & Obarcanin, E. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1338857 · Cited by 5
Wang, R., Panesar, B., SONNENBERG, M., Landry, A., Brazeau, A., Greenberg, M., Nakhla, M. M., Zenlea, I. S., Mok, E., Kichler, J., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/70401 · Cited by 3
Zhang, H., Xing, Y., Tang, Q., & Su, J. (2026) · Digital Health · doi:10.1177/20552076261416710 · Cited by 2
Games and Their Multiple Possible Uses in Health Care
Rodriguês, M. A. F., Barbosa, R. G., & Luz, J. D. A. (2026) · Springer eBooks · doi:10.1007/978-3-031-89820-4_19 · Cited by 2
Secondary School Students’ Perceptions of a Mobile Application Design for Smoking Prevention
Uribe-Madrigal, R. D., Gogeascoechea-Trejo, M. D. C., Mota–Morales, M. D. L., Chacha, C. S. O., García, B. S., Pedraza, E. R., & León, M. C. O. (2021) · Tobacco Prevention & Cessation · doi:10.18332/tpc/132965 · Cited by 2
Mobile Application for Healthcare: The Case of COVID-19 in Mobile Apps
Reina, R., Ventura, M., Cristofaro, C. L., & Gentile, T. A. R. (2021) · puntOorg International Journal · doi:10.19245/25.05.pij.6.2.6 · Cited by 2
Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis
Castillo-Valdez, P. F., Rodríguez-Salvador, M., & Ho, Y. (2024) · JMIR Diabetes · doi:10.2196/52196 · Cited by 3
Song, S., Ashton, M., Yoo, R. H., Lkhagvajav, Z., Wright, R. A., Mathews, D., & Taylor, C. O. (2024) · Journal of Medical Internet Research · doi:10.2196/51955 · Cited by 3
Handling Sparsity Problem Using Removal and Imputation in the HUPA-UCM Diabetes Type 1 Dataset
Kurniadi, F. I., & Yulistiani, R. (2024) · International Conference on Artificial Intelligence and Data Sciences (AiDAS) · doi:10.1109/aidas63860.2024.10730071 · Cited by 2
de Tomás, J. F. Á., Justel, F. B., & do Rosario, R. B. (2013) · FMC - Formación Médica Continuada en Atención Primaria · doi:10.1016/s1134-2072(13)70673-x · Cited by 2
Designing a Game to Reduce Stress for Congestive Heart-Failure (CHF) Patients
Alluhaidan, A. S., & Plachkinova, M. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.419 · Cited by 2
Colorafi, K. J. (2015) · Cited by 2
Giunti, G., Ciancaglini, A., Otero, C. A. N., Baum, A., & de Quirós, F. G. B. (2014) · doi:10.13140/rg.2.2.22942.08009 · Cited by 2
Design of Mobile Healthcare Reminder for Chronic Diabetes
Al-Hasnawi, S., Ahmad, M. B., Al-Janabi, A., Zulkifli, A. N., Omar, M. B., & Bakar, J. A. A. (2016) · Journal of Telecommunication Electronic and Computer Engineering (JTEC) · Cited by 2
Armstrong, K., & Moore, M. M. (2018) · The JBI Database of Systematic Reviews and Implementation Reports · doi:10.11124/jbisrir-2016-003328 · Cited by 2
Espinosa, R. A., Salinero-González, L., Castilla-Martínez, M., Quintanilla, C. C., Ibañez-Meléndez, R., & Yang, C. H. (2018) · REVISTA ESPAÑOLA DE COMUNICACIÓN EN SALUD · doi:10.20318/recs.2018.4493 · Cited by 3
McPherson, A. C., Oake, M., & Stinson, J. (2019) · Disability and Rehabilitation · doi:10.1080/09638288.2018.1530804 · Cited by 4
Ensari, I., & Elhadad, N. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-820077-3.00005-5 · Cited by 2
Al-Ansari, N., Al‐Thani, D., Fernández-Luque, L., & El-Rishi, M. (2020) · International Conference on Behavioral, Economic, and Socio-Cultural Computing · doi:10.1109/besc51023.2020.9348279 · Cited by 2
Mobile Application for Healthcare
Reina, R., Ventura, M., Cristofaro, C. L., & Vesperi, W. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-87842-9_18 · Cited by 2
Backman, C., Papp, S., Harley, A., Kolle, A. T., Visintini, S. M., Shah, S., Berdusco, R., Poitras, S., Beaulé, P. E., & French-Merkley, V. (2023) · JMIR Research Protocols · doi:10.2196/42056 · Cited by 2
Visual Design Checklist for Glucose Monitor App User Interface Usability Evaluation
Tu, C., & Russo, A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-35705-3_33 · Cited by 2
Zhong, S., Jiang, J., Liu, H., & Pan, Y. (2024) · Trials · doi:10.1186/s13063-024-07950-z · Cited by 2
Woensel, W. V., Baig, W., Abidi, S. S. R., & Abidi, S. (2017) · SWAT4LS · Cited by 2
Beintner, I., & Jacobi, C. (2019) · Internet Interventions · doi:10.1016/j.invent.2018.11.004 · Cited by 2
Expression of the Concept of Gamification in the Context of ICT Development
Gatautis, R., Gadeikienė, A., & Vitkauskaitė, E. (2020) · Progress in IS · doi:10.1007/978-3-030-54205-4_4 · Cited by 2
Privacy by Design for Neuropsychological Studies Based on an mHealth App
Gabel, A., Ertas, F., Pleger, M., Schiering, I., & Müller, S. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-72379-8_22 · Cited by 2
Tailoring and utilising gamification to facilitate behaviour change
Bharamgoudar, R., Elmqvist, K., Qiu, S., Rigaudy, M., Vink, J. M., Yu, C., Zhang, Y., & Eisingerich, A. B. (2016) · Spiral (Imperial College London) · Cited by 2
Information Visualization for Diabetes Management: A Literature ReviewPreprint
Zhang, Y., Parker, A. G., & Dunne, C. (2020) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/b632g · Cited by 2
Is gamification a good approach to influence pharmacists’ behaviour?
Hussein, R. N., & Grindrod, K. (2022) · Canadian Pharmacists Journal / Revue des Pharmaciens du Canada · doi:10.1177/17151635221074956 · Cited by 1
Gamification in mHealth - Opportunities and Privacy Risks
Schmidt, R., & Schiering, I. (2022) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-99100-5_11 · Cited by 1
(Wiradjuri), L. C., Malintha, S., Walsh, R., Hu, W. C. Y., (Worimi), K. K., Askew, D. A., Reath, J., & Abbott, P. (2025) · Australian Journal of General Practice · doi:10.31128/ajgp-08-24-7372 · Cited by 1
Ertem, G. S., Ergün, S., Kaynak, S., & Bayram, H. Ç. (2026) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2026.08.022 · Cited by 1
Stephani, V., Quentin, W., & Opoku, D. (2015) · DepositOnce · doi:10.14279/depositonce-4373 · Cited by 1
Castelnuovo, G., Pietrabissa, G., Manzoni, G. M., Corti, S. P., Novelli, M., Borrello, M., Giusti, E. M., Borgia, F., Molinari, E., Middleton, N. A., et al. (2016) · Advances in medical diagnosis, treatment, and care (AMDTC) book series · doi:10.4018/978-1-5225-0663-8.ch008 · Cited by 1
Sketching a mHealth based system to improve breast cancer prevention
Bilotti, C. C., Lucena, T. F. R., Rodrigues, S. D. A., & Bernuci, M. P. (2017) · Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE) · doi:10.1109/gmepe-pahce.2017.7972089 · Cited by 1
Castelnuovo, G., Pietrabissa, G., Manzoni, G. M., Corti, S. P., Novelli, M., Borrello, M., Giusti, E. M., Borgia, F., Molinari, E., Middleton, N. A., et al. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-3926-1.ch063 · Cited by 1
Self-Management of Diabetes Mellitus Patients Using mHealth Applications: A Systematic Review
Buettner, R., Burkert, C., & Mueller, J. (2020) · IEEE Symposium on Industrial Electronics & Applications (ISIEA) · doi:10.1109/isiea49364.2020.9188234 · Cited by 1
Hussein, R. N., Killeen, R. M., & Grindrod, K. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03310-0 · Cited by 2
Al‐Worafi, Y. M. (2022) · CRC Press eBooks · doi:10.1201/9781003230458-20 · Cited by 1
Online model selection by learning how compositional kernels evolve.
Shin, E., Klasnja, P., Murphy, S. A., & Doshi‐Velez, F. (2023) · PubMed · Cited by 1
Zhang, W., Wang, C., Wang, H., Tang, J., Zhang, H., Zhu, J.-Y., Zheng, X., Luo, S.-H., & Ding, Y. M. (2024) · World Journal of Diabetes · doi:10.4239/wjd.v15.i7.1477 · Cited by 1
Tebianian, M. A., & Jahromi, S. R. (2024) · International Journal of Preventive Medicine · doi:10.4103/ijpvm.ijpvm_268_23 · Cited by 1
Sodelovanje in vztrajanje bolnikov z multiplo sklerozo pri zdravljenju z zdravili
Jožef, M., Locatelli, I., Jakob, G. B., Kos, M., & Rot, U. (2024) · Slovenian Medical Journal · doi:10.6016/zdravvestn.3506
Chiang, Y., Yu, H.-Y., Tsay, P., Chen, C., Chang, C., Hsu, C.-L., Lo, F., & Moons, P. (2025) · JMIR Research Protocols · doi:10.2196/59871 · Cited by 1
García-Roldán, S., García, S. R., Vivas, S., Castillo‐Mayén, R., Tabernero, C., Muñoz, C., & Luque, B. (2025) · Digital Health · doi:10.1177/20552076251348021 · Cited by 1
Karisalmi, N., Viitanen, J., Erola, E., & Lahdenne, P. (2025) · Quality and User Experience · doi:10.1007/s41233-025-00075-4 · Cited by 1
Diabetes Group Education versus Individual Counseling: Review of Conflicting Evidence
Chomutare, T., Årsand, E., & Hartvigsen, G. (2015) · Cited by 1
Duan, W., Zhang, J., & Lei, H. E. (2018) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2018.01232 · Cited by 1
Child and Family Interventions
COMMISSARIAT, P. V., & Delamater, A. M. (2018) · Springer eBooks · doi:10.1007/978-0-387-93826-4_21 · Cited by 1
Mann, E. A., Allen, G. S., & Kelly, M. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817319-0.00006-2 · Cited by 1
The Gamification of Museum Attractions: The Perspective of Visitors
Tayara, M., & Yılmaz, H. (2020) · Springer eBooks · doi:10.1007/978-981-15-5370-7_3 · Cited by 1
A View on the Impact of Gamified Services in the Wake of the COVID-19 Pandemic
Panattil, S. J., George, A., & Joy, M. M. (2022) · Advances in business strategy and competitive advantage book series · doi:10.4018/978-1-7998-9223-6.ch005 · Cited by 1
E-mindful health: Evaluation of mobile apps for mindfulness
Mani, M. (2017) · Queensland University of Technology · doi:10.5204/thesis.eprints.102651 · Cited by 2
Min, L. (2013) · TSpace (University of Toronto) · Cited by 1
Nilson, J. (2016) · University Library - University of Saskatchewan (University of Saskatchewan) · Cited by 1
Sandhu, H. S. (2017) · TSpace (University of Toronto) · Cited by 1
Goyal, S. (2017) · TSpace (University of Toronto) · Cited by 1
A utilização de gamification em um sistema de informação: estudo de caso na Natura Cosméticos S.A.
Galegale, G. P. (2014) · doi:10.11606/d.12.2014.tde-05032015-163202 · Cited by 1
Phạm, Q. (2019) · TSpace (University of Toronto) · Cited by 1
Smartphone apps for type 2 diabetes self-management and medication adherence : a multi-method study
Huang, Z. (2020) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/137883 · Cited by 1
Psychosocial assessment and self-management of chronic pain
Voerman, J. S. (2015) · RePub (Erasmus University Rotterdam)
A combined discriminative and generative behavior model for cyber physical system defense
McCusker, O., Brunza, S., Carvalho, M., Dasgupta, D., & Vora, S. M. (2013) · International Symposium on Resilient Control Systems (ISRCS) · doi:10.1109/isrcs.2013.6623767
It Can Be More than Just Fun and Games: Health and Science Apps for Kids
Glassman, N. R., & Glassman, A. G. (2015) · Journal of Electronic Resources in Medical Libraries · doi:10.1080/15424065.2015.1099396
Rodrigues, F. M., Baptista, T. M., & Boulos, M. N. K. (2016) · IGI Global eBooks · doi:10.4018/978-1-4666-9978-6.ch042
Picton, P. E., Yeung, M. S., Hamming, N., & Cafazzo, J. A. (2012)
Self-citationEngaging Patients and Lowering Costs
Zordich, T., & Menichetti, J. (2016) · Advances in medical diagnosis, treatment, and care (AMDTC) book series · doi:10.4018/978-1-5225-0663-8.ch005
The Anatomy of Context-aware Mobile Patient Monitoring Completed Research Paper
Lienhard, K. R., & Legner, C. (2015)
Brizel, F. (2014) · Advances in wireless technologies and telecommunication book series · doi:10.4018/978-1-4666-6166-0.ch017
mHealth Support System for Researchers and Participants
Fayezeen, T. (2016) · e-Publications@Marquette (Marquette University)
Engaging Patients and Lowering Costs
Zordich, T., & Menichetti, J. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-0978-3.ch042
Robinson-Vincent, K. A. (2015) · TSpace (University of Toronto)
Jibb, L. (2016) · TSpace (University of Toronto)
Managing Diabetes: Counselling Supported by User Data in a Mobile Platform.
Machado, D., Dutra, I., Brandão, P., & Costa, V. S. (2017) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Ruiz, E. C. (2017) · UPM Digital Archive (Technical University of Madrid) · doi:10.20868/upm.thesis.47824
Rica, U. D. C., Leiva, Y. P., Solera, D. R., Rica, U. D. C., Calvo, M. F., Rica, U. D. C., Jensen, M., & Rica, U. D. C. (2017) · Perspectivas en Nutrición Humana · doi:10.17533/udea.penh.v18n2a03
Boosting diabetes and pre-diabetes screening in rural GhanaPreprint
Nyarko, B. E., Amoah, R. S., & Crimi, A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/278960
Social Determinants of mHealth Effectiveness: Evidence from a Large-Scale ExperimentPreprint
Wang, W., Su, Y., & Gao, G. G. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3167637 · Cited by 1
Physical activity level and barriers to physical activity among an adult type 1 diabetes population
Finn, M. (2018) · Arrow@dit (Dublin Institute of Technology)
Metadata
- Authors
- Cafazzo, J. A., Casselman, M., Hamming, N., Katzman, D. K., & Palmert, M. R.
- Affiliations
- University Health Network (CA)
- University of Toronto (CA)
- Corresponding author
- Cafazzo, Joseph A
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2012-05-08
- Volume
- 14
- Issue
- 3
- Pages
- e70
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC3799540
- OpenAlex
- W2142564124
- Cited by
- 676
- References
- 30
- Citations by year
- 2026: 21 · 2025: 22 · 2024: 37 · 2023: 29 · 2022: 54 · 2021: 55 · 2020: 49 · 2019: 66 · 2018: 79 · 2017: 74 · 2016: 69 · 2015: 57 · 2014: 32 · 2013: 24 · 2012: 7
- FWCI
- 68.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University Health Network
- Hospital for Sick Children
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 1 diabetes, adolescents, mobile health apps, self-management, blood glucose monitoring, gamification, user-centered design, HbA1c, social community, family caregivers, user interviews, user satisfaction, health behavior change, decision inertia, health data sharing, rewards and incentives
- MeSH terms
- Adolescent, Diabetes Mellitus, Type 1, Glycated Hemoglobin, Humans, Pilot Projects, Self Care, Software, Cell Phone
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 ›
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