Cited by 676Mobile Health and mHealth ApplicationsDiabetes Management and EducationDiabetes Management and Research

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study

Open access

Cafazzo, Joseph A, Casselman, Mark, Hamming, Nathaniel, Katzman, Debra K, Palmert, Mark R·2012·Journal of Medical Internet Research

DOI 10.2196/jmir.2058PMC PMC3799540

Open this paper in CoChat — free account Open PDF

Abstract

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.

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 · 10.2196/jmir.2058

Cites

30 of 30 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.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

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

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

Health Belief Model and Personal Health Behavior
Becker, M. H. (1976) · Medical Entomology and Zoology · Cited by 3,065
Evidence Suggesting That a Chronic Disease Self-Management Program Can Improve Health Status While Reducing Hospitalization: A Randomized Trial
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
Effect of intensive diabetes treatment on the development and progression of long-term complications in adolescents with insulin-dependent diabetes mellitus: Diabetes Control and Complications Trial
(1994) · The Journal of Pediatrics · doi:10.1016/s0022-3476(94)70190-3 · Cited by 1,654
Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments
Heron, K. E., & Smyth, J. M. (2010) · British Journal of Health Psychology · doi:10.1348/135910709x466063 · Cited by 1,438
Cluster-Randomized Trial of a Mobile Phone Personalized Behavioral Intervention for Blood Glucose Control
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
Self-monitoring of blood glucose levels and glycemic control: the Northern California Kaiser Permanente Diabetes registry∗
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
How Adolescents Use Technology for Health Information: Implications for Health Professionals from Focus Group Studies
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

Show all 30 references

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

Sorted by citations

Gamification in theory and action: a survey
Seaborn, K., & Fels, D. I. (2015) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2014.09.006 · Cited by 2,515
The Rise of Motivational Information Systems: A Review of Gamification Research
Koivisto, J., & Hamari, J. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.10.013 · Cited by 2,229
Gamification for health and wellbeing: A systematic review of the literature
Johnson, D., Deterding, S., Kuhn, K.-A., Staneva, A., Stoyanov, S., & Hides, L. (2016) · Internet Interventions · doi:10.1016/j.invent.2016.10.002 · Cited by 1,237
A systematic review of gamification in e-Health
Sardi, L., Idri, A., & Fernández‐Alemán, J. L. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.05.011 · Cited by 1,041
Mobile-health: A review of current state in 2015
Silva, B. M. C., Rodrigues, J. J. P. C., Díez, I. D. L. T., López-Coronado, M., & Saleem, K. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.06.003 · Cited by 922
Mobile medical and health apps: state of the art, concerns, regulatory control and certification
Kamel Boulos, M. N., Brewer, A. C., Karimkhani, C., Buller, D. B., & Dellavalle, R. P. (2014) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v5i3.4814 · Cited by 659
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
Serious games and the gamification of tourism
Xu, F., Buhalis, D., & Weber, J. (2016) · Tourism Management · doi:10.1016/j.tourman.2016.11.020 · Cited by 539
A qualitative study of user perceptions of mobile health apps
Peng, W., Kanthawala, S., Yuan, S., & Hussain, S. A. (2016) · BMC Public Health · doi:10.1186/s12889-016-3808-0 · Cited by 465
Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature
Payne, H., Lister, C., West, J. H., & Bernhardt, J. M. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3335 · Cited by 556
mHealth Consumer Apps : The Case for User-Centered Design
McCurdie, T., Taneva, S., Casselman, M., Yeung, M., McDaniel, C., Ho, W., & Cafazzo, J. (2012) · Biomedical Instrumentation & Technology · doi:10.2345/0899-8205-46.s2.49 · Cited by 478
Self-citation
Smartphone medication adherence apps: Potential benefits to patients and providers
Dayer, L. E., Heldenbrand, S. D., Anderson, P., Gubbins, P. O., & Martin, B. C. (2013) · Journal of the American Pharmacists Association · doi:10.1331/japha.2013.12202 · Cited by 474
“Working out for likes”: An empirical study on social influence in exercise gamification
Hamari, J., & Koivisto, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.018 · Cited by 473
Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps
Edwards, E. A., Lumsden, J., Rivas, C. A., Steed, L., Edwards, L. A., Thiyagarajan, A., Sohanpal, R., Caton, H., Griffiths, C., Munafo, M. R., et al. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-012447 · Cited by 479
Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older
Arnhold, M., Quade, M., & Kirch, W. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2968 · Cited by 446
A game plan: Gamification design principles in mHealth applications for chronic disease management
Miller, A. S., Cafazzo, J. A., & Seto, E. (2016) · Health Informatics Journal · doi:10.1177/1460458214537511 · Cited by 394
Self-citation
Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews
Kitsiou, S., Paré, G., Jaana, M., & Gerber, B. S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173160 · Cited by 415
Artificial Intelligence: The Future for Diabetes Care
Ellahham, S. H. (2020) · The American Journal of Medicine · doi:10.1016/j.amjmed.2020.03.033 · Cited by 404
Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
Kirwan, M., Vandelanotte, C., Fenning, A., & Duncan, M. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2588 · Cited by 343
Content Analysis of Mobile Health Applications on Diabetes Mellitus
Izahar, S., Lean, Q. Y., Hameed, M. A., Murugiah, M. K., Patel, R. P., Al‐Worafi, Y. M., Wong, T. W., & Ming, L. C. (2017) · Frontiers in Endocrinology · doi:10.3389/fendo.2017.00318 · Cited by 381
Teens, Health and Technology: A National Survey
Wartella, E. A., Rideout, V., Montague, H., Beaudoin‐Ryan, L., & Lauricella, A. R. (2016) · Media and Communication · doi:10.17645/mac.v4i3.515 · Cited by 366
‘Gamification’: Influencing health behaviours with games
King, D., Greaves, F., Exeter, C., & Darzi, A. (2013) · Journal of the Royal Society of Medicine · doi:10.1177/0141076813480996 · Cited by 319
Mobile Health Interventions for Improving Health Outcomes in Youth: A Meta-analysis
Fedele, D. A., Cushing, C. C., Fritz, A., Amaro, C. M., & Ortega, A. (2017) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2017.0042 · Cited by 316
Development and Testing of a Multidimensional iPhone Pain Assessment Application for Adolescents with Cancer
Stinson, J., Jibb, L., Nguyen, C., Nathan, P. C., Maloney, A. M., Dupuis, L. L., Gerstle, J. T., Alman, B. A., Hopyan, S., Strahlendorf, C., et al. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2350 · Cited by 288
Smartphone Apps for Schizophrenia: A Systematic Review
Firth, J., & Torous, J. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4930 · Cited by 268
Apps and adolescents: a systematic review of adolescents’ use of mobile phone and tablet apps that support personal management of their chronic or long-term physical conditions
Majeed-Ariss, R., Baildam, E., Campbell, M., Chieng, A., Fallon, D., Hall, A., McDonagh, J. E., Stones, S. R., Thomson, W., & Swallow, V. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.5043 · Cited by 251
Developing Behavior Change Interventions for Self-Management in Chronic Illness
Araújo‐Soares, V., Hankonen, N. E., Presseau, J., Rodrigues, A., & Sniehotta, F. F. (2018) · European Psychologist · doi:10.1027/1016-9040/a000330 · Cited by 259
Personalizing Persuasive Strategies in Gameful Systems to Gamification User Types
Orji, R., Tondello, G. F., & Nacke, L. E. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174009 · Cited by 252
Children and young people’s participation in developing interventions in health and well-being: a scoping review
Larsson, I., Nyman, C. S., Svedberg, P., Nygren, J., & Carlsson, I. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3219-2 · Cited by 243
Text Messaging and Mobile Phone Apps as Interventions to Improve Adherence in Adolescents With Chronic Health Conditions: A Systematic Review
Badawy, S. M., Barrera, L., Sinno, M. G., Kaviany, S., O’Dwyer, L. C., & Kuhns, L. M. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7798 · Cited by 207
ISPAD Clinical Practice Consensus Guidelines 2018: diabetes technologies
Sherr, J. L., Tauschmann, M., Battelino, T., de Bock, M., Forlenza, G., Roman, R., Hood, K. K., & Maahs, D. M. (2018) · Pediatric Diabetes · doi:10.1111/pedi.12731 · Cited by 197
Mobile phones as medical devices in mental disorder treatment: an overview
Gravenhorst, F., Muaremi, A., Bardram, J. E., Grünerbl, A., Mayora, O., Wurzer, G., Frost, M. M., Osmani, V., Bert Arnrich, A., Lukowicz, P., et al. (2014) · Personal and Ubiquitous Computing · doi:10.1007/s00779-014-0829-5 · Cited by 196
Perspectives on the Evolution of Mobile (mHealth) Technologies and Application to Rehabilitation
Dicianno, B. E., Parmanto, B., Fairman, A. D., Crytzer, T. M., Yu, D. X., Pramana, G., Coughenour, D., & Petrazzi, A. (2014) · Physical Therapy · doi:10.2522/ptj.20130534 · Cited by 197
Cognitive behavioral therapy to aid weight loss in obese patients: current perspectives
Castelnuovo, G., Pietrabissa, G., Manzoni, G. M., Cattivelli, R., Rossi, A., Novelli, M., Varallo, G., & Molinari, E. (2017) · Psychology Research and Behavior Management · doi:10.2147/prbm.s113278 · Cited by 187
Health and Social Media: Perfect Storm of Information
Fernández-Luque, L., & Bau, T. (2015) · Healthcare Informatics Research · doi:10.4258/hir.2015.21.2.67 · Cited by 194
Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables
Asimakopoulos, S., Asimakopoulos, G., & Spillers, F. (2017) · Informatics · doi:10.3390/informatics4010005 · Cited by 210
Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers
Liew, M. S., Zhang, J., See, J., & Ong, Y. L. (2019) · JMIR mHealth and uHealth · doi:10.2196/12160 · Cited by 179
What do we know about mobile applications for diabetes self-management? A review of reviews
Hood, M., Wilson, R., Corsica, J., Bradley, L., Chirinos, D., & Vivo, A. (2016) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9765-3 · Cited by 161
Understanding persuasion contexts in health gamification: A systematic analysis of gamified health behavior change support systems literature
Alahäivälä, T., & B, H. O.-K. A. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.02.006 · Cited by 188
End User and Implementer Experiences of mHealth Technologies for Noncommunicable Chronic Disease Management in Young Adults: Systematic Review
Slater, H., Campbell, J. M., Stinson, J. N., Burley, M. M., & Briggs, A. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8888 · Cited by 155
Gamification Solutions to Enhance Software User Engagement—A Systematic Review
Darejeh, A., & Salim, S. S. (2016) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2016.1183330 · Cited by 192
What's the Point?: A Review of Reward Systems Implemented in Gamification Interventions
Lewis, Z. H., Swartz, M. C., & Lyons, E. J. (2016) · Games for Health Journal · doi:10.1089/g4h.2015.0078 · Cited by 156
A Mobile App for the Self-Management of Type 1 Diabetes Among Adolescents: A Randomized Controlled Trial
Goyal, S., Nunn, C. A., Rotondi, M., Couperthwaite, A. B., Reiser, S., Simone, A., Katzman, D. K., Cafazzo, J. A., & Palmert, M. R. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7336 · Cited by 146
Self-citation
I PLAY AT WORK—ten principles for transforming work processes through gamification
Oprescu, F., Jones, C. M., & Katsikitis, M. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00014 · Cited by 167
Beyond the Randomized Controlled Trial: A Review of Alternatives in mHealth Clinical Trial Methods
Pham, Q., Wiljer, D., & Cafazzo, J. A. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.5720 · Cited by 162
Self-citation
The use of gamification mechanics to increase employee and user engagement in participative healthcare services
Hammedi, W., Leclerq, T., & van Riel, A. C. R. (2017) · Journal of service management · doi:10.1108/josm-04-2016-0116 · Cited by 176
Technology in the management of type 1 diabetes mellitus — current status and future prospects
Tauschmann, M., & Hovorka, R. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0044-y · Cited by 165
A Review of Adolescent Adherence in Type 1 Diabetes and the Untapped Potential of Diabetes Providers to Improve Outcomes
Datye, K. A., Moore, D. J., Russell, W. E., & Jaser, S. S. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0621-6 · Cited by 149
Targeting Parents for Childhood Weight Management: Development of a Theory-Driven and User-Centered Healthy Eating App
Curtis, K., Lahiri, S., & Brown, K. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3857 · Cited by 154
Improving Diabetes Care for Young People With Type 1 Diabetes Through Visual Learning on Mobile Phones: Mixed-Methods Study
Frøisland, D. H., Årsand, E., & Skårderud, F. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2155 · Cited by 148
Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences
Rai, A., Chen, L., Pye, J., & Baird, A. M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2635 · Cited by 140
The Shift to Gamification in Education: A Review on Dominant Issues
Ofosu‐Ampong, K. (2020) · Journal of Educational Technology Systems · doi:10.1177/0047239520917629 · Cited by 187
mHealth Application Areas and Technology Combinations: A Comparison of Literature from High and Low/Middle Income Countries
Abaza, H., & Marschollek, M. (2017) · Methods of Information in Medicine · doi:10.3414/me17-05-0003 · Cited by 138
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning
Zhu, T., Li, K., Herrero, P., & Georgiou, P. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3187703 · Cited by 156
The Use of Videogames, Gamification, and Virtual Environments in the Self-Management of Diabetes: A Systematic Review of Evidence
Theng, Y., Lee, J. W. Y., Patinadan, P. V., & Foo, S. S.-B. (2015) · Games for Health Journal · doi:10.1089/g4h.2014.0114 · Cited by 132
Self-management interventions for young people with chronic conditions: A systematic overview
Sattoe, J. N. T., Bal, M. I., Roelofs, P. D. D. M., Bal, R. A., Miedema, H. S., & van Staa, A. (2015) · Patient Education and Counseling · doi:10.1016/j.pec.2015.03.004 · Cited by 137
Patient Self-Management of Asthma Using Mobile Health Applications: A Systematic Review of the Functionalities and Effects
Farzandipour, M., Nabovati, E., Sharif, R., Arani, M. H., & Anvari, S. (2017) · Applied Clinical Informatics · doi:10.4338/aci-2017-07-r-0116 · Cited by 131
The Systematic Design of a Behavioural Mobile Health Application for the Self-Management of Type 2 Diabetes
Goyal, S., Morita, P. P., Lewis, G., Yu, C., Seto, E., & Cafazzo, J. A. (2015) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2015.06.007 · Cited by 124
Self-citation
Effective strategies for encouraging behavior change in people with diabetes
Hood, K. K., Hilliard, M., Piatt, G., & Ievers-Landis, C. E. (2015) · Diabetes Management · doi:10.2217/dmt.15.43 · Cited by 122
Integrating a Smartphone–Based Self–Management System into Usual Care of Advanced CKD
Ong, S. W., Jassal, S. V., Miller, J., Porter, E. C., Cafazzo, J. A., Seto, E., Thorpe, K. E., & Logan, A. G. (2016) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.10681015 · Cited by 122
Self-citation
Technology Access and Smartphone App Preferences for Medication Adherence in Adolescents and Young Adults With Sickle Cell Disease
Badawy, S. M., Thompson, A. A., & Liem, R. I. (2016) · Pediatric Blood & Cancer · doi:10.1002/pbc.25905 · Cited by 119
Transforming Hypertension Management Using Mobile Health Technology for Telemonitoring and Self-Care Support
Logan, A. G. (2013) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2013.02.024 · Cited by 119
The regulation of mobile medical applications
Yetisen, A. K., Martinez-Hurtado, J. L., Vasconcellos, F. D. C., Simsekler, M. C. E., Akram, M. S., & Lowe, C. R. (2014) · Lab on a Chip · doi:10.1039/c3lc51235e · Cited by 119
Using Mobile Health Gamification to Facilitate Cognitive Behavioral Therapy Skills Practice in Child Anxiety Treatment: Open Clinical Trial
Pramana, G., Parmanto, B., Lomas, D., Lindhiem, O. J., Kendall, P. C., & Silk, J. S. (2018) · JMIR Serious Games · doi:10.2196/games.8902 · Cited by 117
Participatory Methods to Engage Health Service Users in the Development of Electronic Health Resources: Systematic Review
Moore, G., Wilding, H., Gray, K., & Castle, D. (2019) · Journal of Participatory Medicine · doi:10.2196/11474 · Cited by 95
Exploring the Challenges and Opportunities of Health Mobile Apps for Individuals with Type 2 Diabetes Living in Rural Communities
Peng, W., Yuan, S., & Holtz, B. E. (2016) · Telemedicine and e-Health · doi:10.1089/tmj.2015.0180 · Cited by 94
Mobile phone health apps for diabetes management: Current evidence and future developments
Goyal, S., & Cafazzo, J. A. (2013) · QJM · doi:10.1093/qjmed/hct203 · Cited by 107
Self-citation
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
Self-citation
Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps
Chib, A., & Lin, S. H. (2018) · Journal of Health Communication · doi:10.1080/10810730.2018.1544676 · Cited by 107
The Paradoxes of Telehealth: a Review of the Literature 2000–2015
Standing, C., Standing, S., McDermott, M., Gururajan, R., & Kiani Mavi, R. (2018) · Systems Research and Behavioral Science · doi:10.1002/sres.2442 · Cited by 105
Engaging with Children and Adolescents: A Systematic Review of Participatory Methods and Approaches in Research Informing the Development of Health Resources and Interventions
Freire, K., Pope, R., Jeffrey, K., Andrews, K., Nott, M. T., & Bowman, T. (2022) · Adolescent Research Review · doi:10.1007/s40894-022-00181-w · Cited by 125
Feasibility and Efficacy of an mHealth Game for Managing Anxiety: “Flowy” Randomized Controlled Pilot Trial and Design Evaluation
Pham, Q., Khatib, Y., Stansfeld, S., Fox, S., & Green, T. (2016) · Games for Health Journal · doi:10.1089/g4h.2015.0033 · Cited by 104
Creating Gameful Design in mHealth: A Participatory Co-Design Approach
Jessen, S., Mirković, J., & Ruland, C. M. (2018) · JMIR mhealth and uhealth · doi:10.2196/11579 · Cited by 102
A Bibliometric Analysis of Gamification Research
Trinidad, M., Ruiz, M., & Calderón, A. (2021) · IEEE Access · doi:10.1109/access.2021.3063986 · Cited by 129
Design and Evaluation of a Pervasive Coaching and Gamification Platform for Young Diabetes Patients
Klaassen, R., Bul, K., den Akker, R. O., van der Burg, G. J., Kato, P. M., & Bitonto, P. D. (2018) · Sensors · doi:10.3390/s18020402 · Cited by 105
Gamification in education: a mixed-methods study of gender on computer science students’ academic performance and identity development
Zahedi, L., Batten, J., Ross, M. S., Potvin, G., Damas, S., Clarke, P., & Davis, D. L. (2021) · Journal of Computing in Higher Education · doi:10.1007/s12528-021-09271-5 · Cited by 100
Mobile health in the management of type 1 diabetes: a systematic review and meta-analysis
Wang, X., Shu, W., Du, J., Du, M., Wang, P., Xue, M., Zheng, H., Jiang, Y., Yin, S., Liang, D., et al. (2019) · BMC Endocrine Disorders · doi:10.1186/s12902-019-0347-6 · Cited by 99
Continuous Glucose Monitoring and Insulin Informed Advisory System with Automated Titration and Dosing of Insulin Reduces Glucose Variability in Type 1 Diabetes Mellitus
Breton, M. D., Patek, S. D., Lv, D., Schertz, E. M., Robic, J., Pinnata, J., Kollar, L. L., Barnett, C. L., WAKEMAN, C. A., Oliveri, M. C., et al. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0079 · Cited by 102
Construct validity and reliability of a real-time multidimensional smartphone app to assess pain in children and adolescents with cancer
Stinson, J., Jibb, L., Nguyen, C., Nathan, P. C., Maloney, A. M., Dupuis, L. L., Gerstle, J. T., Hopyan, S., Alman, B. A., Strahlendorf, C., et al. (2015) · Pain · doi:10.1097/j.pain.0000000000000385 · Cited by 97
Adherence to Glycemic Monitoring in Diabetes
Patton, S. R. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814567709 · Cited by 101
Structured, intensive education maximising engagement, motivation and long-term change for children and young people with diabetes: a cluster randomised controlled trial with integral process and economic evaluation – the CASCADE study
Christie, D., Thompson, R. J., Sawtell, M., Allen, E., Cairns, J., Smith, F. J., Jamieson, E., Hargreaves, K., Ingold, A., Brooks, L., et al. (2014) · Health Technology Assessment · doi:10.3310/hta18200 · Cited by 98
A Review of User-Centered Design for Diabetes-Related Consumer Health Informatics Technologies
LeRouge, C., & Wickramasinghe, N. S. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700429 · Cited by 94
Driven to drive? Investigating the effect of gamification on learner driver behavior, perceived motivation and user experience
Fitz-Walter, Z., Johnson, D. M., Wyeth, P. A., Tjondronegoro, D., & Scott‐Parker, B. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.08.050 · Cited by 93
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
Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING)
Warsinsky, S., Schmidt-Kraepelin, M., Rank, S., Thiebes, S., & Sunyaev, A. (2021) · Journal of Medical Internet Research · doi:10.2196/30390 · Cited by 108
Virtues, ecological momentary assessment/intervention and smartphone technology
Runyan, J. D., & Steinke, E. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00481 · Cited by 97
Mobile and Web-Based Apps That Support Self-Management and Transition in Young People With Chronic Illness: Systematic Review
Virella-Perez, Y. I., Medlow, S., Ho, J., & Steinbeck, K. (2019) · Journal of Medical Internet Research · doi:10.2196/13579 · Cited by 73
Gamification design to foster stakeholder engagement and behavior change: An application to urban freight transport
Marcucci, E., Gatta, V., & Pira, M. L. (2018) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2018.08.028 · Cited by 87
Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions
Turner‐McGrievy, G. M., Dunn, C. G., Wilcox, S., Boutté, A. K., Hutto, B., Hoover, A. W., & Muth, E. R. (2019) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2019.03.012 · Cited by 91
Adherence to evidence-based guidelines among diabetes self-management apps
Breland, J. Y., Yeh, V. M., & Yu, J. (2013) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0205-4 · Cited by 85
mHealth taxonomy: a literature survey of mobile health applications
Olla, P., & Shimskey, C. (2015) · Health and Technology · doi:10.1007/s12553-014-0093-8 · Cited by 84
Comparison of Smartphone Ownership, Social Media Use, and Willingness to Use Digital Interventions Between Generation Z and Millennials in the Treatment of Substance Use: Cross-Sectional Questionnaire Study
Curtis, B. L., Ashford, R. D., Magnuson, K. I., & Ryan-Pettes, S. R. (2019) · Journal of Medical Internet Research · doi:10.2196/13050 · Cited by 84
Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial
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
Self-citation
Gamification in Stress Management Apps: A Critical App Review
Hoffmann, A., Christmann, C. A., & Bleser, G. (2017) · JMIR Serious Games · doi:10.2196/games.7216 · Cited by 102
Design of a Mobile App for Nutrition Education (TreC-LifeStyle) and Formative Evaluation With Families of Overweight Children
Gabrielli, S., Dianti, M., Maimone, R., Betta, M., Filippi, L., Ghezzi, M., & Forti, S. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7080 · Cited by 87
Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies
Crane, D., Garnett, C., Brown, J., West, R., & Michie, S. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00039 · Cited by 82
Developing and Evaluating JIApp: Acceptability and Usability of a Smartphone App System to Improve Self-Management in Young People With Juvenile Idiopathic Arthritis
Cai, R. A., Beste, D., Chaplin, H., Varakliotis, S., Suffield, L., Josephs, F., Sen, D., Wedderburn, L. R., Ioannou, Y., Hailes, S. M. V., et al. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7229 · Cited by 80
ACCU3RATE: A mobile health application rating scale based on user reviews
Biswas, M., Tania, M. H., Kaiser, M. S., Kabir, R., Mahmud, M., & Kemal, A. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258050 · Cited by 82
Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study
Morrison, L. G., Hargood, C., Lin, S. X., Dennison, L., Joseph, J., Hughes, S., Michaelides, D. T., Johnston, D., Johnston, M., Michie, S., et al. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3579 · Cited by 79
mHealth Pilot Study: Text Messaging Intervention to Promote HPV Vaccination
Lee, H. Y., Koopmeiners, J. S., McHugh, J., Raveis, V. H., & Ahluwalia, J. S. (2015) · American Journal of Health Behavior · doi:10.5993/ajhb.40.1.8 · Cited by 80

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
ORCID: Cafazzo, Joseph A
Katzman, Debra K
Palmert, Mark R
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)
DOI: 10.2196/jmir.2058
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 ›

Are you an author, or do you see a problem with this page? Request a review

Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks