This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (2939) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Diabetes Self-Management (484)

Published on in Vol 15, No 11 (2013): November

Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial

Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial

Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial

Authors of this article:

Morwenna Kirwan1 ;   Corneel Vandelanotte1 ;   Andrew Fenning1 ;   Mitch J Duncan1
Article Authors Cited by (251) Tweetations (33) Metrics

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  128. Chen Y, Yang L, Zhang M, Yang J. Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International Journal of Medical Informatics 2018;116:33 View
  129. Triantafyllidis A, Velardo C, Salvi D, Shah S, Koutkias V, Tarassenko L. A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE Journal of Biomedical and Health Informatics 2017;21(1):218 View
  130. Park S, Bang C, Lee S. Evaluating the effect of a smartphone app-based self-management program for people with COPD: A randomized controlled trial. Applied Nursing Research 2020;52:151231 View
  131. Tao D, Wang T, Wang T, Liu S, Qu X. Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials. Journal of the American Medical Informatics Association 2017;24(5):1014 View
  132. Dunsmuir D, Wu H, Sun T, West N, Lauder G, Görges M, Ansermino J. A Postoperative Pain Management Mobile App (Panda) for Children at Home After Discharge: Usability and Feasibility. JMIR Perioperative Medicine 2019;2(2):e12305 View
  133. Chhabra H, Sharma S, Verma S. Smartphone app in self-management of chronic low back pain: a randomized controlled trial. European Spine Journal 2018;27(11):2862 View
  134. Brzan P, Rotman E, Pajnkihar M, Klanjsek P. Mobile Applications for Control and Self Management of Diabetes: A Systematic Review. Journal of Medical Systems 2016;40(9) View
  135. Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol P, Arun V, Thomas J, Kulkarni P, Gopi A, Murthy M. Technological innovations to improve health outcome in type 2 diabetes mellitus: A randomized controlled study. Clinical Epidemiology and Global Health 2021;9:53 View
  136. Blasco M, Svider P, Tenbrunsel T, Vellaichamy G, Yoo G, Fribley A, Raza S. Recent trends in oropharyngeal cancer funding and public interest. The Laryngoscope 2017;127(6):1345 View
  137. Kuo C, Su Y, Lin C. A systematic review and meta‐analysis: Effectiveness of internet empowerment‐based self‐management interventions on adults with metabolic diseases. Journal of Advanced Nursing 2018;74(8):1787 View
  138. Dolan P, Afaneh C, Dakin G, Pomp A, Yeo H. Lessons Learned From Developing a Mobile App to Assist in Patient Recovery After Weight Loss Surgery. Journal of Surgical Research 2019;244:402 View
  139. Sadanshiv M, Jeyaseelan L, Kirupakaran H, Sonwani V, Sudarsanam T. Feasibility of computer-generated telephonic message-based follow-up system among healthcare workers with diabetes: a randomized controlled trial. BMJ Open Diabetes Research & Care 2020;8(1):e001237 View
  140. Chiu L, Sun T, Ree R, Dunsmuir D, Dotto A, Ansermino J, Yarnold C. The evaluation of smartphone versions of the visual analogue scale and numeric rating scale as postoperative pain assessment tools: a prospective randomized trial. Canadian Journal of Anesthesia/Journal canadien d'anesthésie 2019;66(6):706 View
  141. Skrzypecki J, Stańska K, Grabska‐liberek I. Patient‐oriented mobile applications in ophthalmology. Clinical and Experimental Optometry 2019;102(2):180 View
  142. Lee H, Uhm K, Cheong I, Yoo J, Chung S, Park Y, Lee J, Hwang J. Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors. Journal of Medical Systems 2018;42(12) View
  143. Volkova E, Li N, Dunford E, Eyles H, Crino M, Michie J, Ni Mhurchu C. “Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials. JMIR mHealth and uHealth 2016;4(1):e23 View
  144. Angelini S, Alicastro G, Dionisi S, Di Muzio M. Structure and Characteristics of Diabetes Self-management Applications. CIN: Computers, Informatics, Nursing 2019;37(7):340 View
  145. Whitehead L, Crowe M, Carter J, Maskill V, Carlyle D, Bugge C, Frampton C. A nurse‐led education and cognitive behaviour therapy‐based intervention among adults with uncontrolled type 2 diabetes: A randomised controlled trial. Journal of Evaluation in Clinical Practice 2017;23(4):821 View
  146. Triantafyllidis A, Kondylakis H, Votis K, Tzovaras D, Maglaveras N, Rahimi K. Features, outcomes, and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. International Journal of Medical Informatics 2019;132:103984 View
  147. Lee D, Yoo S, Min K, Park C. Effect of Voluntary Participation on Mobile Health Care in Diabetes Management: Randomized Controlled Open-Label Trial. JMIR mHealth and uHealth 2020;8(9):e19153 View
  148. Buck H, Shadmi E, Topaz M, Sockolow P. An integrative review and theoretical examination of chronic illness mHealth studies using the Middle‐Range Theory of Self‐care of Chronic Illness. Research in Nursing & Health 2021;44(1):47 View
  149. Alessa T, S Hawley M, Alsulamy N, de Witte L. Using a Commercially Available App for the Self-Management of Hypertension: Acceptance and Usability Study in Saudi Arabia. JMIR mHealth and uHealth 2021;9(2):e24177 View
  150. Gao S, Kaudimba K, Cai J, Tong Y, Tian Q, Liu P, Liu T, Chen P, Wang R. A Mobile Phone App-Based Tai Chi Training in Parkinson's Disease: Protocol for a Randomized Controlled Study. Frontiers in Neurology 2021;11 View
  151. Huang F, Wu X, Xie Y, Liu F, Li J, Li X, Zhou Z. An automated structured education intervention based on a smartphone app in Chinese patients with type 1 diabetes: a protocol for a single-blinded randomized controlled trial. Trials 2020;21(1) View
  152. Tokosi T, Twum-Darko M. Mobile Health Crowdsensing (MHCS) Intervention on Chronic Disease Awareness: Protocol for a Systematic Review. JMIR Research Protocols 2021;10(3):e24589 View
  153. Davidson B. The crossroads of digital phenotyping. General Hospital Psychiatry 2022;74:126 View
  154. Abd-alrazaq A, Suleiman N, Baagar K, Jandali N, Alhuwail D, Abdalhakam I, Shahbal S, Abou-Samra A, Househ M. Patients and healthcare workers experience with a mobile application for self-management of diabetes in Qatar: A qualitative study. Computer Methods and Programs in Biomedicine Update 2021;1:100002 View
  155. Eberle C, Löhnert M, Stichling S. Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review. JMIR mHealth and uHealth 2021;9(2):e23477 View
  156. Rose C, Nichols T, Hackner D, Chang J, Straube S, Jooste W, Sawe H, Tenner A. Utilizing Lean Software Methods To Improve Acceptance of Global eHealth Initiatives: Results From the Implementation of the Basic Emergency Care App. JMIR Formative Research 2021;5(5):e14851 View
  157. Xu Y, Xu L, Zhao W, Li Q, Li M, Lu W, Zeng H, Yan J, Yang D, Wu W, Weng J, Pan J, Liu F. Effectiveness of a WeChat Combined Continuous Flash Glucose Monitoring System on Glycemic Control in Juvenile Type 1 Diabetes Mellitus Management: Randomized Controlled Trial. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2021;Volume 14:1085 View
  158. Johnson A, Palit S, Terry E, Thompson O, Powell-Roach K, Dyal B, Ansell M, Booker S. Managing osteoarthritis pain with smart technology: a narrative review. Rheumatology Advances in Practice 2021;5(1) View
  159. Kim M, Choi H. Digital Therapeutics for Obesity and Eating-Related Problems. Endocrinology and Metabolism 2021;36(2):220 View
  160. Maharaj A, Lim D, Murphy R, Serlachius A. Comparing Two Commercially Available Diabetes Apps to Explore Challenges in User Engagement: Randomized Controlled Feasibility Study. JMIR Formative Research 2021;5(6):e25151 View
  161. Lee E, Yun J, Cha S, Lim S, Lee J, Ahn Y, Yoon K, Ko S. Personalized Type 2 Diabetes Management Using a Mobile Application Integrated with Electronic Medical Records: An Ongoing Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2021;18(10):5300 View
  162. Shelby T, Zhou X, Barber D, Altice F. Acceptability of an mHealth App That Provides Harm Reduction Services Among People Who Inject Drugs: Survey Study. Journal of Medical Internet Research 2021;23(7):e25428 View
  163. Valente P, Carneiro C, de Aguiar R, de Souza Júnior F, Maciel A, Marçal E, Barbosa Neto J, Ribeiro J. Development and usability evaluation of an application for patients with glaucoma. International Ophthalmology 2021;41(10):3419 View
  164. El-Gayar O, Ofori M, Nawar N. On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis. Journal of Biomedical Informatics 2021;119:103839 View
  165. XU H, YUAN Y, YANG L, TAKASHI E, KITAYAMA A. Effect of a traditional Chinese medicine theory-based mobile app on improving symptoms in patients with type 2 diabetes mellitus. Journal of Integrative Nursing 2021;3(3):97 View
  166. Hosseini A, Jackson A, Chegini N, Dehghan M, Mazloum D, Haghani S, Bahramnezhad F. The effect of an educational app on hemodialysis patients’ self-efficacy and self-care: A quasi-experimental longitudinal study. Chronic Illness 2023;19(2):383 View
  167. Yoon S, Ng J, Kwan Y, Low L. Healthcare Professionals’ Views of Factors Influencing Diabetes Self-Management and the Utility of a mHealth Application and Its Features to Support Self-Care. Frontiers in Endocrinology 2022;13 View
  168. Abdulhussein D, Abdul Hussein M, Szymanka M, Farag S. A systematic review of the current availability of mobile applications in eyecare practices. European Journal of Ophthalmology 2023;33(2):754 View
  169. Nkhoma D, Soko C, Bowrin P, Manga Y, Greenfield D, Househ M, Li (Jack) Y, Iqbal U. Digital interventions self-management education for type 1 and 2 diabetes: A systematic review and meta-analysis. Computer Methods and Programs in Biomedicine 2021;210:106370 View
  170. Bassi G, Mancinelli E, Dell’Arciprete G, Rizzi S, Gabrielli S, Salcuni S. Efficacy of eHealth Interventions for Adults with Diabetes: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2021;18(17):8982 View
  171. Udsen F, Hangaard S, Bender C, Andersen J, Kronborg T, Vestergaard P, Hejlesen O, Laursen S. The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management: A Systematic Review and Meta-analysis. Journal of Diabetes Science and Technology 2023;17(3):782 View
  172. Schmidt M, Lu J, Luo W, Cheng L, Lee M, Huang R, Weng Y, Kichler J, Corathers S, Jacobsen L, Albanese-O′Neill A, Smith L, Westen S, Gutierrez-Colina A, Heckaman L, Wetter S, Driscoll K, Modi A. Learning experience design of an mHealth self-management intervention for adolescents with type 1 diabetes. Educational technology research and development 2022;70(6):2171 View
  173. Hou C, Carter B, Hewitt J, Francisa T, Mayor S. Do Mobile Phone Applications Improve Glycemic Control (HbA1c) in the Self-management of Diabetes? A Systematic Review, Meta-analysis, and GRADE of 14 Randomized Trials. Diabetes Care 2016;39(11):2089 View
  174. Hamasaki H. Patient Satisfaction with Telemedicine in Adults with Diabetes: A Systematic Review. Healthcare 2022;10(9):1677 View
  175. Davidson P, LaManna J, Davis J, Ojeda M, Hyer S, Dickinson J, Todd A, Hammons T, Mohammed Fahim S, McDaniel C, McKee C, Clements J, Yehl K, Litchman M, Blanchette J, Kavookjian J. The Effects of Diabetes Self-Management Education on Quality of Life for Persons With Type 1 Diabetes: A Systematic Review of Randomized Controlled Trials. The Science of Diabetes Self-Management and Care 2022;48(2):111 View
  176. Nkoy F, Stone B, Hofmann M, Fassl B, Zhu A, Mahtta N, Murphy N. Home-Monitoring Application for Children With Medical Complexity: A Feasibility Trial. Hospital Pediatrics 2021;11(5):492 View
  177. Sun C, Malcolm J, Wong B, Shorr R, Doyle M. Improving Glycemic Control in Adults and Children With Type 1 Diabetes With the Use of Smartphone-Based Mobile Applications: A Systematic Review. Canadian Journal of Diabetes 2019;43(1):51 View
  178. Ali Sherazi B, Laeer S, Krutisch S, Dabidian A, Schlottau S, Obarcanin E. Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps. International Journal of Environmental Research and Public Health 2022;20(1):64 View
  179. Stevens S, Gallagher S, Andrews T, Ashall-Payne L, Humphreys L, Leigh S. The effectiveness of digital health technologies for patients with diabetes mellitus: A systematic review. Frontiers in Clinical Diabetes and Healthcare 2022;3 View
  180. Han W, Han X, Zhou S, Zhu Q. The Development History and Research Tendency of Medical Informatics: Topic Evolution Analysis. JMIR Medical Informatics 2022;10(1):e31918 View
  181. YEKE S, SELÇUK A. COVID-19 SÜRECİNDE MOBİL SAĞLIK UYGULAMALARI: HES UYGULAMASINA YÖNELİK KRİTİK BAŞARI FAKTÖRLERİ ANALİZİ. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 2022;12(4):1887 View
  182. Shetty V, Soon W, Roberts A, Fried L, Roby H, Smith G, Fournier P, Jones T, Davis E. A Novel Mobile Health App to Educate and Empower Young People With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Mixed Methods Pilot Study. JMIR Diabetes 2021;6(4):e29739 View
  183. Yao B, Chen Y, Yang H. Constrained Markov Decision Process Modeling for Optimal Sensing of Cardiac Events in Mobile Health. IEEE Transactions on Automation Science and Engineering 2022;19(2):1017 View
  184. de Sequeira S, Presseau J, Booth G, Lipscombe L, Perkins I, Perkins B, Shulman R, Lakhanpal G, Ivers N. Implementation Plan for a High-Frequency, Low-Touch Care Model at Specialized Type 1 Diabetes Clinics: Model Development. JMIR Diabetes 2022;7(4):e37715 View
  185. McCarthy M, Grey M. Type 1 Diabetes Self-Management From Emerging Adulthood Through Older Adulthood. Diabetes Care 2018;41(8):1608 View
  186. Ghaderi M, Farahani M, Balouchi A, Haghani H. The effect of smartphone-based education on self-efficacy of women with gestational diabetes: A controlled clinical trial. Romanian Journal of Military Medicine 2022;125(2):330 View
  187. Cucciniello M, Petracca F, Ciani O, Tarricone R. Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. npj Digital Medicine 2021;4(1) View
  188. Alessa T, Hawley M, de Witte L. Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study. JMIR mHealth and uHealth 2021;9(11):e29207 View
  189. Sockolow P, Buck H, Shadmi E. An integrative review of chronic illness mHealth self-care interventions: Mapping technology features to patient outcomes. Health Informatics Journal 2021;27(3) View
  190. Scaratti M, Argenta C, Xavier de Almeida W, Argenta Zanatta E. Mobile application resources to selfcare and selfmanagement of type i diabetes mellitus: integrative review / Recursos de aplicativos móveis para autocuidado e autogerenciamento do diabetes mellitus tipo i: revisão integrativa. Revista de Pesquisa Cuidado é Fundamental Online 2021;13:1374 View
  191. Stephen D, Nordin A, Nilsson J, Persenius M. Using mHealth applications for self-care – An integrative review on perceptions among adults with type 1 diabetes. BMC Endocrine Disorders 2022;22(1) View
  192. Tobón D, Hossain M, Muhammad G, Bilbao J, Saddik A. Deep learning in multimedia healthcare applications: a review. Multimedia Systems 2022;28(4):1465 View
  193. Cheng C, Werner N, Doutcheva N, Warner G, Barton H, Kelly M, Ehlenbach M, Wagner T, Finesilver S, Katz B, Nacht C, Coller R. Codesign and Usability Testing of a Mobile Application to Support Family-Delivered Enteral Tube Care. Hospital Pediatrics 2020;10(8):641 View
  194. Dorell Å, Konradsen H, Kallström A, Kabir Z, Papa F. “A friend during troubled times”: Experiences of family caregivers to persons with dementia when receiving professional support via a mobile app. PLOS ONE 2022;17(8):e0271972 View
  195. Nwolise C, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446 View
  196. Luo J, White-Means S. Evaluating the Potential Use of Smartphone Apps for Diabetes Self-Management in an Underserved Population: A Qualitative Approach. International Journal of Environmental Research and Public Health 2021;18(18):9886 View
  197. Zhu T, Li K, Herrero P, Georgiou P. Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning. IEEE Transactions on Biomedical Engineering 2023;70(1):193 View
  198. Knoetze M, Mahomed-Asmail F, Manchaiah V, Swanepoel D. Sound-level Monitoring Earphones With Smartphone Feedback as an Intervention to Promote Healthy Listening Behaviors in Young Adults. Ear & Hearing 2021;42(5):1173 View
  199. Zhu T, Uduku C, Li K, Herrero P, Oliver N, Georgiou P. Enhancing self-management in type 1 diabetes with wearables and deep learning. npj Digital Medicine 2022;5(1) View
  200. Liu Z, Wang C, Yang D, Luo S, Ding Y, Xu W, Zheng X, Weng J, Yan J. High engagement in mobile peer support is associated with better glycemic control in type 1 diabetes: A real‐world study. Journal of Diabetes Investigation 2022;13(11):1914 View
  201. Farfan-Ruiz A, Czikk D, Leidecker J, Ramsay T, McCormick B, Wilson K, Zimmerman D. Multidisciplinary Team versus a “Phosphate-Counting” App for Serum Phosphate Control: A Randomized Controlled Trial. Kidney360 2021;2(2):290 View
  202. Geldsetzer P, Flores S, Wang G, Flores B, Rogers A, Bunker A, Chang A, Tisdale R. A Systematic Review of Healthcare Provider-Targeted Mobile Applications to Screen for, Diagnose, or Monitor Non-Communicable Diseases in Low- and Middle-Income Countries. SSRN Electronic Journal 2021 View
  203. Tan T, Shih J, Liu S, Alkhaleefah M, Chang Y, Gochoo M. Using a Hybrid Neural Network and a Regularized Extreme Learning Machine for Human Activity Recognition with Smartphone and Smartwatch. Sensors 2023;23(6):3354 View
  204. Ye G, Wang C, Wu C, Peng Z, Wei J, Song X, Tan Q, Wu L. Research frontier detection and analysis based on research grants information: A case study on health informatics in the US. Journal of Informetrics 2023;17(3):101421 View
  205. Jonusas J, Aleknavicius K, Valinskas S. Klinio mobile app for diabetes self-care: A pilot study of HbA1c improvement in type 2 diabetes patients. Smart Health 2023;29:100404 View
  206. Konnyu K, Yogasingam S, Lépine J, Sullivan K, Alabousi M, Edwards A, Hillmer M, Karunananthan S, Lavis J, Linklater S, Manns B, Moher D, Mortazhejri S, Nazarali S, Paprica P, Ramsay T, Ryan P, Sargious P, Shojania K, Straus S, Tonelli M, Tricco A, Vachon B, Yu C, Zahradnik M, Trikalinos T, Grimshaw J, Ivers N. Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes. Cochrane Database of Systematic Reviews 2023;2023(6) View
  207. Lin Y, Aikens J, de Zoysa N, Hall D, Funnell M, Nwankwo R, Kloss K, DeJonckheere M, Pop-Busui R, Piatt G, Amiel S, Piette J. An mHealth Text Messaging Program Providing Symptom Detection Training and Psychoeducation to Improve Hypoglycemia Self-Management: Intervention Development Study. JMIR Formative Research 2023;7:e50374 View
  208. Tang T, Seddigh S, Halbe E, Vesco A. Testing 3 Digital Health Platforms to Improve Mental Health Outcomes in Adults With Type 1 Diabetes: A Pilot Trial. Canadian Journal of Diabetes 2023 View
  209. Chee A, Abdel-Rasoul M, Zoretich K, Diaz K, Noria S. Bariatric Patient Engagement in a Pre-surgery Virtual Patient Navigation Platform (VPNP). Obesity Surgery 2023;33(9):2770 View
  210. Kapur R, Kumar Y, Sharma S, Rastogi V, Sharma S, Kanwar V, Sharma T, Bhavsar A, Dutt V. DiabeticSense: A Non-Invasive, Multi-Sensor, IoT-Based Pre-Diagnostic System for Diabetes Detection Using Breath. Journal of Clinical Medicine 2023;12(20):6439 View
  211. Ruissen M, Torres-Peña J, Uitbeijerse B, Arenas de Larriva A, Huisman S, Namli T, Salzsieder E, Vogt L, Ploessnig M, van der Putte B, Merle A, Serra G, Rodríguez G, de Graaf A, de Koning E, Delgado-Lista J, Sont J. Clinical impact of an integrated e-health system for diabetes self-management support and shared decision making (POWER2DM): a randomised controlled trial. Diabetologia 2023;66(12):2213 View
  212. Kerimaa H, Hakala M, Haapea M, Vähänikkilä H, Serlo W, He H, Pölkki T. Effectiveness of a Mobile App Intervention for Preparing Preschool Children and Parents for Day Surgery: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e46989 View
  213. Lee D, Lee H, Cheon C, Yoon J. Healthcare coaching program for youth with type 1 diabetes in South Korea: a pilot study. Child Health Nursing Research 2024;30(1):17 View
  214. Ullman A, Gibson V, Kleidon T, Binnewies S, Ohira R, Marsh N, McBride C, Winterbourn K, Boyte F, Cunninghame J, Roberts N, XU G, Takashima M, Cooke M, Rickard C, Byrnes J, Larsen E. An mHealth application for chronic vascular access: Consumer led co-creation. Journal of Pediatric Nursing 2024;76:68 View
  215. Karimi F, Amoozgar Z, Reiazi R, Hosseinzadeh M, Rawassizadeh R. Longitudinal analysis of heart rate and physical activity collected from smartwatches. CCF Transactions on Pervasive Computing and Interaction 2024;6(1):18 View
  216. Omelyanovskiy V, Fediaeva V. Clinical-economic evaluation of distance education and blood glucose level monitoring in adults with diabetes mellitus. Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice 2024;(4):25 View
  217. Tarricone R, Petracca F, Svae L, Cucciniello M, Ciani O. Which behaviour change techniques work best for diabetes self-management mobile apps? Results from a systematic review and meta-analysis of randomised controlled trials. eBioMedicine 2024;103:105091 View
  218. Knauer J, Baumeister H, Schmitt A, Terhorst Y. Acceptance of smart sensing, its determinants, and the efficacy of an acceptance-facilitating intervention in people with diabetes: results from a randomized controlled trial. Frontiers in Digital Health 2024;6 View
  219. Iqhrammullah M, Yudhistira Refin R, Fitria Andika F, Amirah S, Fahd Abdurrahman M, Alina M, Yufika A, Abdullah A. Dropout rate in clinical trials of smartphone apps for diabetes management: A meta-analysis. Diabetes Research and Clinical Practice 2024;212:111723 View
  220. Ali Sherazi B, Läer S, Hasanbegovic S, Obarcanin E. Evaluating usability of and satisfaction with mHealth app in rural and remote areas—Germany GIZ collaboration in Bosnia-Herzegovina to optimize type 1 diabetes care. Frontiers in Digital Health 2024;6 View
  221. Kania M, Suduł P, Wilk M, Szopa M, Katra B, Małecki M, Poklepović Peričić T, Prill R, Klugarová J, Vrbova T, Klugar M, Leśniak W, Bała M. Education of adult type 1 diabetes patients in a diabetes ward setting: a best practice implementation project. JBI Evidence Implementation 2024 View
  222. Lin C, Lin H. Impact of mobile Internet use on health-seeking behaviors: evidence from China. Frontiers in Public Health 2024;12 View
  223. Amorim D, Miranda F, Santos A, Graça L, Rodrigues J, Rocha M, Pereira M, Sousa C, Felgueiras P, Abreu C. Assessing Carbohydrate Counting Accuracy: Current Limitations and Future Directions. Nutrients 2024;16(14):2183 View
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Books/Policy Documents

  1. Subramaniam S, Dhillon J, Ahmad M, Leong J, Teoh C. Recent Trends in Information and Communication Technology. View
  2. Brew-Sam N. Handbuch der Gesundheitskommunikation. View
  3. Ajčević M, De Dea F, Barbieri G, Accardo A. World Congress on Medical Physics and Biomedical Engineering 2018. View
  4. Seçkin G. Emotions, Technology, and Health. View
  5. Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. View
  6. Krömer N. Handbuch Gesundheitskommunikation. View
  7. . e-Health Systems. View
  8. Massana J, Torrent-Fontbona F, López B. Diabetes: from Research to Clinical Practice. View
  9. Medina-Moreira J, Apolinario O, Luna-Aveiga H, Lagos-Ortiz K, Paredes-Valverde M, Valencia-García R. Technologies and Innovation. View
  10. Andreadis I, Nikita K. Cardiovascular Computing—Methodologies and Clinical Applications. View
  11. Cruz-Ramos N, Alor-Hernández G, Sánchez-Cervantes J, Paredes-Valverde M, Salas-Zárate M. Exploring Intelligent Decision Support Systems. View
  12. Lindhiem O, Harris J. Technology and Adolescent Mental Health. View
  13. David S, Rafiullah M. Case Study of Innovative Projects - Successful Real Cases. View
  14. . M‐Health: Fundamentals and Applications. View
  15. Troxel A. Pragmatic Randomized Clinical Trials. View