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 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.
Overview
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
Cites
Statistics
Verification
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?
The cited source says what the claim attributes to it.
In the citing paper
“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)
The cited source says what the claim attributes to it.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 401–500 of 675
Supporting Self-Care of Adolescents with Nut Allergy Through Video and Mobile Educational Tools
Davidson, N., Vines, J., Bartindale, T., Sutton, S. J., Green, D., Comber, R., Balaam, M., Olivier, P. L., & Vance, G. H. S. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025680 · Cited by 9
Ye, Q., Boren, S. A., Khan, U., & Kim, M. S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58466-9_11 · Cited by 9
Play, art, music and exercise therapy impact on children with diabetes
Bacus, I. P., Mahomed, H., Murphy, A.-M., Connolly, M., Neylon, O. M., & O’Gorman, C. S. (2022) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-021-02889-5 · Cited by 8
Best Practices for Developing a Diabetes mHealth App
Holtz, B., & Mitchell, K. M. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231195849 · Cited by 8
Fico, G., & Arredondo, M. T. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318812 · Cited by 8
Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials
Jankowski, J., Saganowski, S., & Bródka, P. (2016) · Mobile Information Systems · doi:10.1155/2016/1029368 · Cited by 8
Ecosystem approach on medical game development
Litovuo, L., Makkonen, H. S., Aarikka‐Stenroos, L., Luhtala, L., & Mäkinen, S. (2017) · International Academic Mindtrek Conference (Mindtrek) · doi:10.1145/3131085.3131104 · Cited by 8
Personalizing health theories in persuasive game interventions to gamer types
Orji, R., Orji, F. A., Oyibo, K., & Ajah, I. A. (2018) · African Human Computer Interaction Conference (AfriCHI) · doi:10.1145/3283458.3283467 · Cited by 8
Nwolise, C. H., Carey, N., & Shawe, J. (2020) · Health Informatics Journal · doi:10.1177/1460458220921707 · Cited by 7
Fatmawati, F., Stang, Palutturi, S., Amiruddin, R., & Syafar, M. (2020) · Enfermería Clínica · doi:10.1016/j.enfcli.2019.11.017 · Cited by 8
Panattil, S. J., George, A., & Joy, M. M. (2021) · Health Marketing Quarterly · doi:10.1080/07359683.2021.1995639 · Cited by 8
An Action Design Research to Facilitate the Adoption of Personal Health Records
Ngassam, R. G. N., Ung, L., Ologeanu‐Taddei, R., Lartigau, J., Demoly, P. M., Bourdon, I., Molinari, N., & Chiriac, A. M. (2021) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.288551 · Cited by 8
Zahedi, L., Ross, M. S., & Batten, J. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--32946 · Cited by 8
Fatima, S., Augusto, J. C., Moseley, R., Urbonas, P., Elliott, A., & Payne, N. (2023) · Entertainment Computing · doi:10.1016/j.entcom.2023.100571 · Cited by 10
Ashurst, E. J., & Jones, R. B. (2016) · Health Policy and Technology · doi:10.1016/j.hlpt.2016.12.001 · Cited by 8
Glowacki, E. M., Bernhardt, J. M., & McGlone, M. S. (2019) · Health Informatics Journal · doi:10.1177/1460458219889279 · Cited by 8
Santos, C. M. V. T., de Andrade, J. A., Amorim, A. D. C., Garcia, P. A., Carvalho, G. A., & Silva, K. H. C. V. E. (2018) · Fisioterapia em Movimento · doi:10.1590/1980-5918.031.ao17 · Cited by 7
The Interrelation of Game Elements and Privacy Requirements for the Design of a System: A Metamodel
Mavroeidi, A., Kitsiou, A., & Kalloniatis, C. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-27813-7_8 · Cited by 8
Fordington, S., & Brown, T. H. (2020) · Digital Health · doi:10.1177/2055207620966163 · Cited by 10
Trnka, P., Aldaghi, T., & Mužík, J. (2024) · JMIR Pediatrics and Parenting · doi:10.2196/50370 · Cited by 8
Good-Quality mHealth Apps for Endometriosis Care: Systematic Search
Sirohi, D., Ng, C. H. M., Bidargaddi, N. P., Slater, H., Parker, M. A., Hull, M. L., & O’Hara, R. L. (2025) · Journal of Medical Internet Research · doi:10.2196/49654 · Cited by 7
Stegemann, S. K., Ebenfeld, L., Lehr, D., Berking, M., & Funk, B. (2013) · Annals of Computer Science and Information Systems · Cited by 7
Antezana, G., Venning, A., Smith, D., & Bidargaddi, N. P. (2022) · Digital Health · doi:10.1177/20552076221144104 · Cited by 8
Aplicaciones para terminales móviles en salud
de Tomás, J. F. Á. (2012) · FMC - Formación Médica Continuada en Atención Primaria · doi:10.1016/s1134-2072(12)70489-9 · Cited by 7
Croon, R. D., Bezabih, A. M., Geuens, J., Wildemeersch, D., Oeyen, D., Verbert, K., & Abeele, V. V. (2019) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi.2019.8904661 · Cited by 7
Gamification, mHealth and user adherence
Carvalho, R., Machado, D., & Brandão, P. (2020) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc50000.2020.9219674 · Cited by 7
Alsalman, D., Ali, Z. B., Alnosaier, Z. F., Alotaibi, N., & Alanzi, T. M. (2021) · International Journal of Telemedicine and Applications · doi:10.1155/2021/8822676 · Cited by 7
Improved Patient Management Using eHealth Tools: Potential and Pitfalls
Harbeck, N., Wuerstlein, R., & Schinkoethe, T. (2015) · Breast Cancer Management · doi:10.2217/bmt.14.53 · Cited by 7
Pediatric Hospice and Palliative Care
Lindley, L. C., Zhou, W., Mack, J. W., & Li, X. (2014) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000084 · Cited by 7
Goldwater, J. C. (2014) · Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care · doi:10.1177/2327857914031009 · Cited by 7
m-santé francophone et diabète : mise au point
Halbron, M., Joubert, M., & Sonnet, E. (2016) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(16)30057-8 · Cited by 7
Rapp, A. (2016) · Annual Symposium on Computer-Human Interaction in Play · doi:10.1145/2968120.2987721 · Cited by 7
Marker, A. M., Monzon, A. D., Goggin, K., Clements, M. A., & Patton, S. R. (2019) · Clinical Practice in Pediatric Psychology · doi:10.1037/cpp0000263 · Cited by 6
Boosting diabetes and pre-diabetes screening in rural Ghana
Nyarko, B. E., Amoah, R. S., & Crimi, A. (2019) · F1000Research · doi:10.12688/f1000research.18497.1 · Cited by 7
Choosing an effective mobile health application to help manage Type 1 Diabetes Mellitus effectively
Dinath, W., & Mearns, M. A. (2019) · South African journal of information management · doi:10.4102/sajim.v21i1.1050 · Cited by 8
Approaches to Mobile Health Evaluation: A Comparative Study
Dick, S., O’Connor, Y., & Heavin, C. (2019) · Information Systems Management · doi:10.1080/10580530.2020.1696550 · Cited by 10
An mHealth Technology for Chronic Wound Management
Friesen, M., Gigliotti, B., & Poon, T. W. K. (2016) · InTech eBooks · doi:10.5772/64010 · Cited by 6
Active methodologies in health. Scientific production on gamification in health sciences
Robles, A. S., & González, M. E. P. (2019) · Science for Education Today · doi:10.15293/2658-6762.1903.13 · Cited by 6
Filling gaps in type 1 diabetes and exercise research: a scoping review and priority-setting project
Klaprat, N. D., Askin, N., MacIntosh, A., Brunton, N. M., Hay, J. L., Yardley, J. E., Marks, S. D., Sibley, K. M., Duhamel, T. A., & McGavock, J. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-001023 · Cited by 7
Orem’in Öz Bakım Eksikliği Kuramına Göre Diyabet Teknolojileri
Polat, G., & Avdal, E. Ü. (2021) · Etkili Hemşirelik Dergisi · doi:10.46483/deuhfed.865886 · Cited by 6
Backman, C., Papp, S., Harley, A., Houle, S., Mamo, Y., Poitras, S., Shah, S., Berdusco, R., Beaulé, P. E., & French-Merkley, V. (2022) · Clinical Interventions in Aging · doi:10.2147/cia.s384822 · Cited by 6
Mobile applications for diabetes mellitus self-management: A systematic narrative analysis
Deacon, A. J., Chee, J., Chang, W., & Harbourne, B. A. (2017) · QUT ePrints (Queensland University of Technology) · Cited by 6
Liang, W. H., Madan‐Swain, A., Cronin, R. M., & Jackson, G. P. (2018) · Europe PMC (PubMed Central) · Cited by 6
Alshehri, F., & Alshaikh, F. (2021) · JMIR Formative Research · doi:10.2196/22968 · Cited by 6
Gamification in Crowdsourcing Applications
Prandi, C., Salomoni, P., & Mirri, S. (2015) · Encyclopedia of Computer Graphics and Games · doi:10.1007/978-3-319-08234-9_46-1 · Cited by 6
User involvement in the development of patient decision aids: A systematic reviewPreprint
Vaisson, G., Provencher, T., Dugas, M., Trottier, M.-È., Dansokho, S. C., Colquhoun, H. L., Fagerlin, A., Giguere, A. M. C., Hakim, H., Haslett, L., et al. (2019) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/qyfkp · Cited by 6
Ray, M. K., McMichael, A., Rivera-Santana, M. V., Noel, J., & Hershey, T. G. (2021) · JMIR Diabetes · doi:10.2196/27027 · Cited by 6
T1D Buddy: A Hybrid Solution to Provide Type 1 Diabetic Support for Early Diagnosed Children
Khan, E. B., Daud, H. E., Rehman, A., Jahan, R. S., Zaka, A., & Shahid, S. (2023) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3585088.3593877 · Cited by 5
Usability of an eHealth sleep education intervention for university students
Rosenberg, L., Rigney, G., Jemcov, A., van Voorst, D., & Corkum, P. V. (2024) · Digital Health · doi:10.1177/20552076241260480 · Cited by 5
Tang, J., Song, T., Kuang, M., & Liu, H. (2025) · Therapeutic Advances in Chronic Disease · doi:10.1177/20406223251334439 · Cited by 5
Morgan, B. E., Hunt, X., & Tomlinson, M. (2017) · Global Health Action · doi:10.1080/16549716.2017.1320118 · Cited by 7
Measuring step count: why it is important not to assume measures are reliable
Lowe, C., Isaac, C., Kelly, P., & Barker, K. L. (2020) · Physiotherapy · doi:10.1016/j.physio.2020.08.003 · Cited by 5
Gamified Medication Adherence Applications for Chronic Health Conditions: Scoping Review
Altuwayrib, S. A., Win, K. T., & Freeman, M. B. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-30933-5_20 · Cited by 5
Evaluating the User Experience of Type 1 Diabetes Control Applications
Moreira, F., & Coutinho, E. F. (2023) · Brazilian Symposium on Human Factors in Computing Systems (IHC) · doi:10.1145/3638067.3638134 · Cited by 5
The Role of Mobile Phones in Adolescent T1DM: A Review of the Literature
Barnaba, B., & Burr, M. S. (2014) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2014.04.009 · Cited by 5
Carral, M. D. R., Roux, P., Bruchez, C., & Santiago-Delefosse, M. J. (2016) · International Journal of Psychological Studies · doi:10.5539/ijps.v8n4p26 · Cited by 6
Holtz, B., Mitchell, K. M., Hershey, D. S., Cotten, S. R., Holmstrom, A. J., Richman, J., Dunneback, J. K., & Wood, M. A. (2018) · JMIR Research Protocols · doi:10.2196/10803 · Cited by 5
Wang, S., Lee, H. S., & Choi, W. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104598 · Cited by 5
Maddison, R., Baghaei, N., Calder, A. J., Murphy, R., Parag, V., Heke, I., Dobson, R., & Marsh, S. (2022) · JMIR Formative Research · doi:10.2196/33089 · Cited by 5
Socially-Oriented Persuasive Game to Promote Disease Awareness and Prevention
Mulchandani, D., & Orji, R. (2022) · Human Behavior and Emerging Technologies · doi:10.1155/2022/9403578 · Cited by 5
Mwangi, C., & Mudogo, C. M. (2017) · Journal of Pharmaceutical Care & Health Systems · doi:10.4172/2376-0419.1000179 · Cited by 6
Review and analysis of the functionality of mobile applications in the field of alcohol consumption
Wróblewski, M., Klingemann, J. I., & Wieczorek, Ł. (2020) · Alcoholism and Drug Addiction · doi:10.5114/ain.2020.95977 · Cited by 5
Use of mHealth apps by nurses in the management of chronic wounds: a scoping review protocol
Vaughan, G., Prizeman, G., Eustace‐Cook, J., & Byrne, G. (2021) · JBI Evidence Synthesis · doi:10.11124/jbies-20-00401 · Cited by 5
Applying Game Thinking to Slips, Trips and Falls Prevention
Dewick, P. M., & Stanmore, E. (2017) · Studies in health technology and informatics · doi:10.3233/978-1-61499-798-6-606 · Cited by 5
10th Annual Symposium on Self-Monitoring of Blood Glucose, April 27–29, 2017, Warsaw, Poland
Parkin, C. G., Homberg, A., & Hinzmann, R. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0356 · Cited by 5
Design Strategies in Public Services
Cucciniello, M., Nasi, G., Porumbescu, G. A., & Tarricone, R. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009451734 · Cited by 4
e-Health applications for outpatient professional pharmaceutical care services: A scoping review
Agudelo, R., Pereañez, J. A., Muñoz, S. M. C., Granados, J., & Ceballos, M. (2025) · Exploratory Research in Clinical and Social Pharmacy · doi:10.1016/j.rcsop.2025.100567 · Cited by 4
Applying emerging technologies to improve diabetes treatment
Yu, J., Sun, C., Wei, Y., Wang, C., Dave, B., Cao, F., & Hu, L. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.09.155 · Cited by 4
Xu, H., Yuan, Y., Li, Y. A. N. G., Takashi, E., & Kitayama, A. (2021) · Journal of Integrative Nursing · doi:10.4103/jin.jin_19_21 · Cited by 4
Pedersen, K., & Schlichter, B. R. (2023) · Interactive Journal of Medical Research · doi:10.2196/40205 · Cited by 4
Hu, Y., Lu, Y., Tian, C., He, Y., Rong, K., Pan, S., & Lei, J. (2023) · JMIR mhealth and uhealth · doi:10.2196/47553 · Cited by 4
Rishaug, T., Aas, A., Henriksen, A., Hartvigsen, G., Birkeland, K. I., & Årsand, E. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318876 · Cited by 5
Dyer, J. S. (2013) · Diabetes Spectrum · doi:10.2337/diaspect.26.2.98 · Cited by 4
Designing Mobile Applications to Support Type 1 Diabetes Education.
Pulman, A., Taylor, J., Galvin, K., & Masding, M. (2012) · Cited by 4
Understanding Diabetes through Watch Based Interactive Play
Patterson, D. (2019) · Australasian Computer Science Week Multiconference (ACSW) · doi:10.1145/3290688.3290745 · Cited by 4
Miele, F., Clementi, S., Gennaro, R., Nicolao, I., Romanelli, T., Speese, K., & Piras, E. M. (2019) · JMIR Diabetes · doi:10.2196/11343 · Cited by 5
Rezai, L. S., Chin, J., Li, R. C., He, F., Bassett-Gunter, R. L., & Burns, C. M. (2019) · Information · doi:10.3390/info10110347 · Cited by 4
Symptom Monitoring in Children With Life-Threatening Illness
Vaughn, J., Shah, N., Docherty, S. L., Yang, Q., & Shaw, R. J. (2021) · Advances in Nursing Science · doi:10.1097/ans.0000000000000359 · Cited by 4
Sauerbruch, STARPAHC, and SARS: Historical Perspectives on Readiness and Barriers in Telemedicine
Reifegerste, D., Harst, L., & Otto, L. (2021) · Journal of Public Health · doi:10.1007/s10389-021-01513-1 · Cited by 4
Barengo, N. C., Apolinar, L. M., Estrada-Cruz, N. A., Fernández-Gárate, J. E., González, R. A. C., Valencia, P. A. D., Gonzalez, C. A. C., Rodriguez, J. A. G., González, N. C., On behalf of the SANENT Study Group, et al. (2022) · Trials · doi:10.1186/s13063-022-06177-0 · Cited by 4
Ghaderi, M., Farahani, M. A., Balouchi, A., & Haghani, H. (2022) · Romanian Journal of Military Medicine · doi:10.55453/rjmm.2022.125.2.24 · Cited by 4
Smith, A. D. M., de Salas, K., Schüz, B., Ferguson, S. G., & Lewis, I. J. (2016) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/3010915.3010986 · Cited by 4
Hanghøj, S., Pappot, H., Hjalgrim, L. L., Hjerming, M., Visler, C. L., & Boisen, K. A. (2020) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2019-0253 · Cited by 4
Effect of telemedicine on diabetic treatment and complications
Al-Ghamdi, H. S., Eldabbari, A. A., Alharthi, S. A., Alhutami, S. A., Aljiffry, M. O., Alsharif, S. S., Alqurashi, A. M., Mohammed, S. A., Rawah, M. A., Almalki, M. S., et al. (2021) · International Journal of Community Medicine and Public Health · doi:10.18203/2394-6040.ijcmph20211792 · Cited by 4
Backman, C., Papp, S., Harley, A., Houle, S., Skidmore, B., Poitras, S., Green, M., Shah, S., Berdusco, R., Beaulé, P. E., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-064988 · Cited by 4
Christie, D. (2013) · Diabetes Management · doi:10.2217/dmt.12.90 · Cited by 4
Revisão: aplicativos para dispositivos móveis (“Apps”) na automonitorização em pacientes diabéticos
Arrais, R. F., & Crotti, P. L. R. (2015) · Journal of Health Informatics · Cited by 4
Self–management and Type 1 Diabetes. How Technology Redefines Illness
Moretti, V., & Morsello, B. (2023) · Tecnoscienza · doi:10.6092/issn.2038-3460/17345 · Cited by 4
Uro mHealth: Gesundheits-Apps in der Urologie
Müller, P.-F., Dressler, F., & Miernik, A. J. (2018) · Aktuelle Urologie · doi:10.1055/a-0740-3166 · Cited by 4
Looking a Gift Horse in the Mouth: The Dark Side of Uncertain Price Promotions
Talebi, A., Prokopec, S., & Öncüler, A. (2025) · Psychology and Marketing · doi:10.1002/mar.22197 · Cited by 3
Agudelo, R., Granados, J., Ceballos, M., & Pereañez, J. A. (2025) · Exploratory Research in Clinical and Social Pharmacy · doi:10.1016/j.rcsop.2025.100661 · Cited by 3
Beh, E., Lin, J., Leong, G., Loh, P. Y., Poh, E. J., & Chan, D. (2026) · JMIR mhealth and uhealth · doi:10.2196/79338 · Cited by 4
Strategies to digitalize inert health practices: The gamification of glucose monitoring
Neumann, C. J., Kolak, T., & Auschra, C. (2019) · it - Information Technology · doi:10.1515/itit-2019-0023 · Cited by 3
Can social gamification and privacy co-exist? Identifying the major concerns
Vgena, K., Mavroeidi, A., Kitsiou, A., & Kalloniatis, C. (2021) · Panhellenic Conference on Informatics · doi:10.1145/3503823.3503857 · Cited by 3
The Feasibility of a Family-Focused CBT Skills Self-Help App
Kriegshauser, K. D., Sexton, C. C., Bozsik, F. M., Blossom, J. B., Wiese, A. D., Larsen, M. A., & Hale, L. R. (2022) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2022.09.001 · Cited by 3
Understanding the Acceptability of Health Apps among Adolescents: A Qualitative Study
Chen, E. S., Muessig, K. E., & Moracco, K. E. (2022) · ACI Open · doi:10.1055/s-0042-1758461 · Cited by 3
Tan, J. W., Tan, G., Lian, X., Chong, D. K. S., Rajalingam, P., Dalan, R., & Mogali, S. R. (2024) · JMIR Serious Games · doi:10.2196/54703 · Cited by 3
Factorial design study of self-management using Dnurse App in T2DM patients
Tang, H., Tan, H., Zhang, J., Zhang, M., Chen, M., Kong, L., Wang, X., Guo, M., Zhao, J., Song, L., et al. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1420578 · Cited by 3
The Anatomy of Context-aware Mobile Patient Monitoring
Lienhard, K. R., & Legner, C. (2015) · IRIS · Cited by 3
Lindhiem, O. J., & Harris, J. L. (2018) · Springer eBooks · doi:10.1007/978-3-319-69638-6_18 · Cited by 3
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 ›
Are you an author, or do you see a problem with this page? Request a review