Centennial Patients in Comparison to Traditionalist Patients How do Mobile Glucose Monitoring Applications Impact Disease Management in Centennial Patients in Comparison to Traditionalist Patients who are Insulin Dependent? Mindy Valenti, RN, BSN SUNY Upstate Medical University College of Nursing Findings: Purpose: Significance: The purpose of this project is to determine if mobile glucose monitoring applications impact disease management in older adults compared to children who are insulin dependent. Studies examined the use of mobile applications in the management of insulin dependent diabetes in children and older adults. Synthesis of literature validates that use of mobile applications for disease management in these differing populations is lacking and inconsistent. Research suggests that adult patients perceive self-management of diabetes to be improved with the use of mobile applications but little benefit was noted in children. Inadequate research exists that addresses the impact of mobile applications on glycemic control in patients of any age. References AHRQ. (2014). Diabetes. Retrieved January 04, 2017, from https://www.healthypeople.gov/2020/topics-objectives/topic/diabetes Benjamin, E. (2002). Self-Monitoring of Blood Glocuse: The Basics. Clinical Diabetes, 20(1): 45-47. http://dx.doi.org/10.2337/diaclin.20.1.45 Franklin, V., Waller, A., Pagliari, C., & Greene, S. (2006). A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabetic Medicine, 23(12), 1332-1338. Kirwan, M., Vandelanotte, C., Fenning, A., & Duncan, M. J. (2013). Diabetes Self-Management Smartphone application for Adults with Type I Diabetes: Randomized Control Trial. J Med Internet Res, 15(11): e235. Liang, X., Wang, Q., Yang, X., Cao, J., Chen, J., Mo, X., & ... Gu, D. (2011). Effect of mobile phone intervention for diabetes on glycemic control: a meta-analysis. Diabetic Medicine, 28(4), 455-463. doi:10.1111/j.1464-5491.2010.03180.x Mobile Fact Sheet. (2017, January 12). Retrieved January 04, 2017, from http://www.pewinternet.org/fact-sheet/mobile/# Mulvaney, S. A., Rothman, R. L., Dietrich, M. S., Wallston, K. A., Grove, E., Elasy, T. A., & Johnson, K. B. (2012). Using Mobile Phones to Measure Adolescent Diabetes Adherence. Health Psychology, 31(1), 43-50. doi:10.1037/a0025543 Park, S., Burford, S., Nolan, C., & Hanlen, L. (2016). The Role of Digital Engagement in the Self-Management of Type 2 Diabetes. Health Communication, 31(12), 1557-1565. doi:10.1080/10410236.2015.1089468 Quinn, C. C., Khokhar, B., Weed, K., Barr, E., & Gruber-Baldini, A. L. (2015). Older Adult Self-Efficacy Study of Mobile Phone Diabetes Management. Diabetes Technology & Therapeutics, 17(7), 455-461. doi:10.1089/dia.2014.0341 Ristau, R. A., Yang, J., & White, J. R. (2013). Evaluation and Evolution of Diabetes Mobile Applications: Key Factors for Health Care Professionals Seeking to Guide Patients. Diabetes Spectrum, 26(4), 211-215. Statistics About Diabetes. (2016, April). Retrieved October, 2016, from http://www.diabetes.org/diabetes-basics/statistics/American Diabetes Association. Tran, J., Tran, R., & White Jr., J. R. (2012). Smartphone-Based Glucose Monitors and Applications in the Management of Diabetes: An Overview of 10 Salient 'Apps' and a Novel Smartphone-Connected Blood Glucose Monitor. Clinical Diabetes, 30(4), 173-178. Van Volkom, M., Stapley, J. C., & Malter, J. (2013). Use and Perception of Technology: Sex and Generational Differences in a Community Sample. Educational Gerontology, 39(10), 729-740. doi:10.1080/03601277.2012.756322 An estimated 10.9 million people over the age of 65 and 215,000 under the age of 20 have diabetes. This complex disease requires a multifaceted team-based approach from health care providers and patients. Poor adherence to these complex regimens is common and often due to interference in patient lifestyle. Failing to adequately manage the disease can lead to a dramatic increase in risks of developing serious complications including hypertension, stroke, and kidney disease The emergence of innovative applications to assist in the management of diabetes is opening new doors in the realm of healthcare. Mobile applications to log SMBG levels can assist patients in astute monitoring, some with the ability to transmit information directly to the healthcare provider (HCP). Use of glucose monitoring smartphone applications can reduce hospitalizations but little research has addressed implications on a generational level. The diversity in age imposes potential variances in effectiveness of mobile application use among those with diabetes. Methods: Search Engines – CINHAL, PubMed, Medline, and Cochrane Key Words – Diabetes, insulin, mobile application, smart phone, self-monitoring blood glucose (SMBG), generational, centennial, and traditionalists. Inclusion Criteria – Studies dated 2011 to present, unless stated as landmark studies. Peer reviewed, level of evidence >III, and applications used specifically for SMBG. Exclusion Criteria – Applications solely for educational purposes. Results – A total of 409 articles found, 18 reviewed, and six articles were utilized; one meta analysis and three randomized control trials. Conclusion: There is a lack of research involving the generational differences that may or may not exist in diabetic patients using mobile applications for disease management. Some research suggests more promise for improved diabetic management with use of mobile application in older generations rather than younger. References: Franklin, V., Waller, A., Pagliari, C., & Greene, S. (2006). A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabetic Medicine, 23(12), 1332-1338. Kirwan, M., Vandelanotte, C., Fenning, A., & Duncan, M. J. (2013). Diabetes Self-Management Smartphone application for Adults with Type I Diabetes: Randomized Control Trial. J Med Internet Res, 15(11): e235. Liang, X., Wang, Q., Yang, X., Cao, J., Chen, J., Mo, X., & ... Gu, D. (2011). Effect of mobile phone intervention for diabetes on glycemic control: a meta-analysis. Diabetic Medicine, 28(4), 455-463. doi:10.1111/j.1464-5491.2010.03180.x Mulvaney, S. A., Rothman, R. L., Dietrich, M. S., Wallston, K. A., Grove, E., Elasy, T. A., & Johnson, K. B. (2012). Using Mobile Phones to Measure Adolescent Diabetes Adherence. Health Psychology, 31(1), 43-50. doi:10.1037/a0025543 Park, S., Burford, S., Nolan, C., & Hanlen, L. (2016). The Role of Digital Engagement in the Self-Management of Type 2 Diabetes. Health Communication, 31(12), 1557-1565. doi:10.1080/10410236.2015.1089468 Quinn, C. C., Khokhar, B., Weed, K., Barr, E., & Gruber-Baldini, A. L. (2015). Older Adult Self-Efficacy Study of Mobile Phone Diabetes Management. Diabetes Technology & Therapeutics, 17(7), 455-461. doi:10.1089/dia.2014.0341