Greater Telehealth Use Results in Increased Visit Frequency and Lower Physician Related-Distress in Adolescents and Young Adults With Type 1 Diabetes

Background: Type one diabetes (T1D) management is challenging for adolescents and young adults (AYAs) due to physiological changes, psychosocial challenges, and increasing independence, resulting in increased diabetes distress and hemoglobin A1c (HbA1c). Alternative care models that engage AYAs and improve diabetes-related health outcomes are needed. Methods: A 15-month study evaluated an adaptation of the Colorado Young Adults with T1D (CoYoT1) Care model. CoYoT1 Care includes person-centered care, virtual peer groups, and physician training delivered via telehealth. AYAs (aged 16-25 years) were partially randomized to CoYoT1 or standard care, delivered via telehealth or in-person. As the study was ending, the COVID-19 pandemic forced all AYAs to transition to primarily telehealth appointments. This secondary analysis compares changes in clinic attendance, T1D-related distress, HbA1c, and device use between those who attended more than 50% of diabetes clinic visits via telehealth and those who attended more sessions in-person throughout the course of the study. Results: Out of 68 AYA participants, individuals (n = 39, 57%) who attended most (>50%) study visits by telehealth completed more diabetes care visits (3.3 visits) than those (n = 29, 43%) who primarily attended visits in-person (2.5 visits; P = .007). AYAs who primarily attended visits via telehealth maintained stable physician-related distress, while those who attended more in-person visits reported increases in physician-related distress (P = .03). Conclusions: Greater usage of telehealth improved AYA engagement with their care, resulting in increased clinic attendance and reduced physician-related diabetes distress. A person-centered care model delivered via telehealth effectively meets the needs of AYAs with T1D.

[1]  D. Maahs,et al.  Barriers to Technology Use and Endocrinology Care for Underserved Communities With Type 1 Diabetes , 2021, Diabetes Care.

[2]  K. Fantasia,et al.  Racial Disparities in Diabetes Technology Use and Outcomes in Type 1 Diabetes in a Safety-Net Hospital , 2021, Journal of diabetes science and technology.

[3]  L. Iughetti,et al.  Glycemic Control Improvement in Italian Children and Adolescents With Type 1 Diabetes Followed Through Telemedicine During Lockdown Due to the COVID-19 Pandemic , 2020, Frontiers in Endocrinology.

[4]  T. Lipman,et al.  Racial disparities in treatment and outcomes of children with type 1 diabetes , 2020, Pediatric diabetes.

[5]  V. Honrubia,et al.  Telemedicine in Minority and Socioeconomically Disadvantaged Communities Amidst COVID-19 Pandemic , 2020, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[6]  D. Maahs,et al.  Tele-rounds and Case-Based Training: Project ECHO Telementoring Model Applied to Complex Diabetes Care. , 2020, Pediatric clinics of North America.

[7]  E. Pyatak,et al.  Adapting home telehealth group appointment model (CoYoT1 clinic) for a low SES, publicly insured, minority young adult population with type 1 diabetes. , 2019, Contemporary clinical trials.

[8]  Saif S. Khairat,et al.  Advancing health equity and access using telemedicine: a geospatial assessment , 2019, J. Am. Medical Informatics Assoc..

[9]  H. Tchero,et al.  Clinical Effectiveness of Telemedicine in Diabetes Mellitus: A Meta-Analysis of 42 Randomized Controlled Trials. , 2019, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[10]  E. Pyatak,et al.  Home Telemedicine (CoYoT1 Clinic): A Novel Approach to Improve Psychosocial Outcomes in Young Adults With Diabetes , 2019, The Diabetes educator.

[11]  David M Maahs,et al.  State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016-2018. , 2019, Diabetes technology & therapeutics.

[12]  Christine Hamel,et al.  Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies , 2017, Journal of medical Internet research.

[13]  V. Helgeson,et al.  Type 1 diabetes in young adulthood. , 2015, Current diabetes reviews.

[14]  YANG FENG,et al.  Digital Divide 2.0: The Role of Social Networking Sites in Seeking Health Information Online From a Longitudinal Perspective , 2015, Journal of health communication.

[15]  D. Luff,et al.  Experiences of health care transition voiced by young adults with type 1 diabetes: a qualitative study , 2014, Adolescent health, medicine and therapeutics.

[16]  C. Brindis,et al.  Adolescent and young adult health in the United States in the past decade: little improvement and young adults remain worse off than adolescents. , 2014, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[17]  Karen Chang,et al.  Impact of telemedicine in managing type 1 diabetes among school-age children and adolescents: an integrative review. , 2014, Journal of pediatric nursing.

[18]  Jessamyn G. Perlus,et al.  Perspectives From Before and After the Pediatric to Adult Care Transition: A Mixed-Methods Study in Type 1 Diabetes , 2014, Diabetes Care.

[19]  J. Teresi,et al.  Social impact analysis of the effects of a telemedicine intervention to improve diabetes outcomes in an ethnically diverse, medically underserved population: findings from the IDEATel Study. , 2013, American journal of public health.

[20]  J. De Maeseneer,et al.  Introducing a telemonitoring platform for diabetic patients in primary care: will it increase the socio-digital divide? , 2013, Primary care diabetes.

[21]  W. Polonsky,et al.  When Is Diabetes Distress Clinically Meaningful? , 2012, Diabetes Care.

[22]  D. J. Holmes-Walker,et al.  A transition care programme which improves diabetes control and reduces hospital admission rates in young adults with Type 1 diabetes aged 15–25 years , 2007, Diabetic medicine : a journal of the British Diabetic Association.

[23]  W. Polonsky,et al.  Assessing psychosocial distress in diabetes: development of the diabetes distress scale. , 2005, Diabetes care.

[24]  B. Anderson,et al.  Reducing acute adverse outcomes in youths with type 1 diabetes: a randomized, controlled trial. , 2003, Pediatrics.

[25]  Larry D Gruppen,et al.  The Diabetes Empowerment Scale-Short Form (DES-SF). , 2003, Diabetes care.

[26]  D. Dunger,et al.  Poor prognosis of young adults with type 1 diabetes: a longitudinal study. , 2003, Diabetes care.

[27]  L. Radloff The CES-D Scale , 1977 .

[28]  M. Reid,et al.  CoYoT1 Clinic: Home Telemedicine Increases Young Adult Engagement in Diabetes Care. , 2018, Diabetes technology & therapeutics.

[29]  R. Slover,et al.  Use of Telemedicine to Improve Adherence to American Diabetes Association Standards in Pediatric Type 1 Diabetes. , 2016, Diabetes technology & therapeutics.

[30]  L. Radloff The CES-D Scale: A Self-Report Depression Scale for Research in the General Population — Source link , 2022 .