Consideration of Intelligent Applications to Support Diabetic Patients: A Scoping Review for Nutrition Mobile Phone Apps

  • Amir Jamshidnezhad Department of Health Information Technology, Faculty of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  • Zahra Koohmareh Department of Health Information Technology, Faculty of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  • Ali Pazahr Department of Computer engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran


Objectives: Identify the functionality of smart applications in the mobile platform for controlling, teaching and healthy lifestyles in the field of nutrition for diabetic patients.
Method: Current review was conducted on the mobile platform to consider the functionalities of available applications to support the diabetic patients with the intelligent tools.  The results of inclusion criteria (such as nutrition, weight control, blood pressure, education and interactive analysis tools) were evaluated and organized in the form of a scoping review.  All applications in the systematic search were independent of both operating systems. The search samples were found in May 2018 by experts of medical informatics.
Results: 273 potential applications were identified according to the results of the inclusion criteria with evidence based strategies and systematic evaluations to find the apps for diabetic patients. Approximately 29% of apps in both stores (79/273) met primary assessment criteria. Of these, 40 % of apps (32/79) excluded of more consideration due to lack in the most criteria of this study. The remaining apps are described as follows: 8% of total apps (22/273) and 4% of the apps (11/273) met general criteria and all criteria (including general and special) in the Google play store, respectively.  Only 2 apps met general criteria with the Apple iOS while none of them covered with special criteria according to the objectives of this study.
Conclusion: There are various applications for control, education, and self-care in diabetes. Google is an acceptable platform for developers interested in examining interactive apps and techniques in disease control, education and healthy lifestyle programs.
share this Article by


[1]. MM. Rahmati, S. Bakhshi. "Lifestyle and Consuming Pattern Case Study: Cellphone". Journal of Iranian Cultural Research.8(4):119-42;2015.
[2].M. Goodarzi ,I. Ebrahimzadeh . "Impact of Distance Education via short message service of Mobile Phone on metabolic control of Patients with Type 2 Diabetes Mellitus in Karaj-Iran". Quarterly of Horizon of Medical Sciences.19(4):224-34;2014.
[3].HJ . Seabrook, JN . Stromer, C. Shevkenek , A. Bharwani , J. de Grood , WA. Ghali . "Medical applications: a database and characterization of apps in Apple iOS and Android platforms". BMC research notes. 7(1):573; 2014.
[4].ASM. Mosa , I. Yoo , L. Sheets ." A systematic review of healthcare applications for smartphones". BMC medical informatics and decision making. 12(1):67; 2012.
[5].MNK. Boulos , S. Wheeler , C. Tavares , R. Jones . "How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX". Biomedical engineering online. 10(1):24; 2011.
[6].A. Karargyris ,O. Karargyris ,A. Pantelopoulos , editors. "DERMA/care: An advanced image-processing mobile application for monitoring skin cancer". Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on; 2012: IEEE.
[7].J. Rivera , A. McPherson , J. Hamilton ,C. Birken , M. Coons ,S. Iyer , et al. "Mobile apps for weight management: a scoping review". JMIR mHealth and uHealth. 4(3); 2016.
[8].B. Martínez-Pérez , I. De La Torre-Díez ,M. López-Coronado ,J. Herreros-González . "Mobile apps in cardiology". JMIR mHealth and uHealth. 1(2) ;2013.
[9].CL. Ventola . "Mobile devices and apps for health care professionals: uses and benefits". Pharmacy and Therapeutics. 39(5):356; 2014.
[10].T. Dehling ,F. Gao ,S. Schneider ,A. Sunyaev . "Exploring the far side of mobile health: information security and privacy of mobile health apps on iOS and Android". JMIR mHealth and uHealth. 3(1); 2015.
[11].E-J. Lee , Y-H. Kim ,N. Kim , D-W. Kang ." Deep into the brain: artificial intelligence in stroke imaging". Journal of stroke. 19(3):277; 2017.
[12].D. Shanthi , G. Sahoo ,N. Saravanan ." Designing an artificial neural network model for the prediction of thrombo-embolic stroke". International Journals of Biometric and Bioinformatics (IJBB). 3(1):10-8; 2009.
[13]. N. Mirderikvand, M. Naderan, A. Jamshidnezhad. "Accurate automatic localisation of lung nodules using Graph Cut and snakes algorithms". 2016 6th International Conference on Computer and Knowledge Engineering (ICCKE). 194-199; 2016.
[14].L. Kabootarizadeh, A. Jamshidnezhad, Z. Koohmareh, A. " Differential Diagnosis of Iron-Deficiency Anemia from β-Thalassemia Trait Using an Intelligent Model in Comparison with Discriminant Indexes". ACTA INFORM MED. 27(2): 78-84; 2019.
[15].R. Altman . "Artificial intelligence (AI) systems for interpreting complex medical datasets". Clinical Pharmacology & Therapeutics. 101(5):585-6; 2017.
[16].H. Vainio ,F. Bianchini . "Weight control and physical activity": Iarc; 2002.
[17].T. Chomutare , L. Fernandez-Luque , E. Årsand , G. Hartvigsen. "Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines". Journal of medical Internet research. 13(3); 2011.
[18].O. El-Gayar ,P. Timsina ,N. Nawar ,W. Eid ." Mobile applications for diabetes self-management: status and potential. Journal of diabetes science and technology". 7(1):247-62; 2013.
[19].R. Ershad Sarabi , F. Sadoughi , R. Jamshidi Orak , K. Bahaadinbeigy . "Role of Mobile Technology in Iran Healthcare System: A review study". Journal of Health and Biomedical Informatics. 4(4):313-26; 2018.
[20]. MHM. Jazayeri, A. Jamshidnezhad,  Top Mobile Applications in Pediatrics and Children's Health: Assessment and Intelligent Analysis Tools for a Systematic Investigation. The Malaysian journal of medical sciences: MJMS. 26(1): 5-14; 2019.
[21].Buechi R, Faes L, Bachmann LM, Thiel MA, Bodmer NS, Schmid MK, et al. Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis. BMJ open. 2017;7(12):e018280.
[22]. Staywell . Sugar sense-Diabetes App. Google play [Download]. Available at .
[23]. Lazer Apps Inc. Diabetic Diet & Symptoms of diabetes. Google play [Download]. Available at:
[24]. Gato Apps. Diabetic Diet Plan. Google play [Download]. Available at
[25]. Manafi Group. Sugar Free Diet Medicine Reminder . Google play [Download]. Available at
[26]. Jake2701. Diabetic Calculator . Google play [Download]. Available at
[27]. Xtell Technologies. Diabetes Treatment. Google play [Download]. Available at
[28]. Diabetes Digital Media. Low Carb Program. Google play [Download]. Available at
[29]. HealthSensei101. How To Reverse Type 2 Diabetes. Google play [Download]. Available at
[30]. BeatO. Beat0-Diabetes Care and Management App. Google play [Download]. Available at
[31]. SINOVO GmbH & Co. KG. SiDiary Diabetes Management. Google play [Download]. Available at
[32]. One Drop. One Drop- Diabetes Management. Google play [Download]. Available at
[33]. Telcare LLC. Diabetes Pal. Google play [Download]. Available at
[34]. Gather Health. Gather Health Family Diabetes. Google play [Download]. Available at
[35]. Twayesh Projects. Is your Diabetes under control. Google play [Download]. Available at
[36]. Ghrian Technologies Pvt. Ltd. DiabetoMeter. Google play [Download]. Available at
[37]. Appz Inventors. Diabetes and Symptoms. Google play [Download]. Available at
[38]. Life in Control. Life in Control Diabetes Coach. Google play [Download]. Available at
[39]. Glucosio. Glucosio: Diabetes Tracker. Google play [Download]. Available at
[40]. Built by Doctors World Ltd. Nutrition Diabetes. Google play [Download]. Available at
[41]. Utopia production. Diabetes mellitus(DM) from zero to hero. Google play [Download]. Available at
[42]. Ai Imai. Blood Test Grapher. iTunes [Download]. Available at
[43]. Ai Imai. Blood Pressure Grapher. iTunes [Download]. Available at
How to Cite
JAMSHIDNEZHAD, Amir; KOOHMAREH, Zahra; PAZAHR, Ali. Consideration of Intelligent Applications to Support Diabetic Patients: A Scoping Review for Nutrition Mobile Phone Apps. Journal of Contemporary Medical Sciences, [S.l.], v. 6, n. 1, feb. 2020. ISSN 2413-0516. Available at: <>. Date accessed: 13 july 2020. doi: