1PhD, Nutrition Research Center, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
2MSc, Shiraz University of Medical Sciences, Shiraz, Iran
3MD, Endocrinology and Metabolism Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
4MD, Neonatal Research Center, Department of Pediatrics, Shiraz University of Medical Sciences, Shiraz, Iran
چکیده
Nowadays, the introduction of the so-called ‘diabetes technology’, either hardware/device or software, to different aspects of day-to-day living in patients with diabetes aims to improve blood glucose control and various lifestyle features. The coordination of vast context of diabetes education/training, particularly in the area of medical nutrition therapy, is considered as a great concern. On the other hand, Iranian food culture consists of a set of traditional dietary patterns and food consumption habit. The study was aimed to develop “the Comprehensive Mobile Application of Advanced Carbohydrate Counting and Diet- and Insulin-Regimen Planning” to help type 1 diabetic patients, improving their health status. The programming language of Kotlin, JavaScript, Node JS, and HTML5 was used for the mobile app development. The app was developed with the following abilities: 1) educating users on different aspects of disease control including, updated general treatment guidelines on physical activity, medical nutrition and insulin therapy, stress management, and the patient’s specific goals and dietary needs, 2) performing advanced carbohydrate counting using both picture-represented and kitchen-scale of carbohydrate foods as well as traditional Iranian foods, 3) recommending the patient’s specific insulin dose, either short- or rapid-acting, based on the carbohydrate content of the selected meal or the selected amount of Iranian foods, 4) recommending the personalized insulin dose needed for decreasing the high blood glucose levels, and 5) performing 3 and 4 simultaneously. Developing Carbulin was an effort to increase type 1 diabetes self-management using the traditional Iranian dietary pattern and menu.
American Diabetes Association. Introduction: Standards of medical care in diabetes-2021. Diabetes Care. 2021;44(Supplement 1):S1-S2. doi: 10.2337/dc21-Sint. PubMed PMID: 33298409.
International Diabetes Federation. IDF diabetes atlas ninth. Dunia: IDF; 2019.
Danaei G, Farzadfar F, Kelishadi R, Rashidian A, Rouhani OM, et al. Review Iran in transition. Lancet. 2019;393(10184):1984-2005. doi: 10.1016/S0140-6736(18)33197-0. PubMed PMID: 31043324.
Esteghamati A, Larijani B, Aghajani MH, Ghaemi F, Kermanchi J, Shahrami A, et al. Diabetes in Iran: prospective analysis from first nationwide diabetes report of National Program for Prevention and Control of Diabetes (NPPCD-2016). Sci Rep. 2017;7(1):1-10. doi: 10.1038/s41598-017-13379-z. PubMed PMID: 29044139. PubMed PMCID: PMC5647418.
Nasli-Esfahani E, Farzadfar F, Kouhnavard M, et al. Iran diabetes research roadmap (IDRR) study: a preliminary study on diabetes research in the world and Iran. J Diabetes Metab Disord. 2017;16(1):1-8. doi: 10.1186/s40200-017-0291-9. PubMed PMID: 28239599. PubMed PMCID: PMC5316224.
Early KB, Stanley K. Position of the Academy of Nutrition and Dietetics: the role of medical nutrition therapy and registered dietitian nutritionists in the prevention and treatment of prediabetes and type 2 diabetes. J Acad Nutr Diet. 2018;118(2):343-53. doi: 10.1016/j.jand.2017.11.021. PubMed PMID: 29389511.
Paswan SK, Verma P, Raj A, Azmi L, Shrivastava S. Role of nutrition in the management of diabetes mellitus. Asian Pac J Health Sci. 2015;2(4):42-7.
Mazloom Z, Abdollahzadeh SM, Ashktorab V, Hashemi B, et al. Metabolic Nutri-Expert System: A Comprehensive Tool for Achieving Metabolic Control of Inborn Errors of Amino Acid Metabolism. Int J Comput Appl. 2018;182(10):1-5. doi: 10.5120/ijca2018917711.
American Diabetes Association. 7. Diabetes technology: standards of medical care in diabetes—2019. Diabetes Care. 2019;42(Suppl 1):S71-S80. doi: 10.2337/dc19-S007. PubMed PMID: 30559233.
Hashemi B, Javidnia H. An approach for recommendations in self management of diabetes based on expert system. Int J Comput Appl. 2012;53(14):6-12. doi: 10.5120/8487-2431.
Jha SK, Singh DK. Development of knowledge Base Expert System for Natural treatment of Diabetes disease. Int J Adv Comput Sci Appl. 2012;3(3):44-7. doi: 10.14569/IJACSA.2012.030308.
Kovasznai G. Developing an expert system for diet recommendation. International Symposium on Applied Computational Intelligence and Informatics (SACI); Timisoara, Romania: IEEE; 2011. p. 505-9.
Petersen M, Hempler NF. Development and testing of a mobile application to support diabetes self-management for people with newly diagnosed type 2 diabetes: a design thinking case study. BMC Med Inform Decis Mak. 2017;17(1):1-10. doi: 10.1186/s12911-017-0493-6. PubMed PMID: 28651639. PubMed PMCID: PMC5485734.
Jeon E, Park HA. Development of the IMB model and an evidence-based diabetes self-management mobile application. Healthc Inform Res. 2018;24(2):125-38. doi: 10.4258/hir.2018.24.2.125. PubMed PMID: 29770246. PubMed PMCID: PMC5944187.
Tuah NM, Yoag A, Ahmedy F. My Diabetes—the Gamified Application for Diabetes Self-Management and Care. Computers. 2021;10(4):50. doi: 10.3390/computers10040050.
