Internet-based cognitive behavioral therapy intervention for youth with type 1 diabetes and depressive symptoms: a pilot and feasibility studyShow full item record
Title | Internet-based cognitive behavioral therapy intervention for youth with type 1 diabetes and depressive symptoms: a pilot and feasibility study |
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Author | Singh, Puja; Otero, Juan Mejia; Howe, Carol; Feinstein, Rebecca T.; Gupta, Kushagra; Gladstone, Tracy R. G.; Van Voorhees, Benjamin W.; Gupta, Olga T. |
Date | 2024-01 |
Abstract | Depression is more common in youth with type 1 diabetes (T1D) compared to youth without diabetes. This study aims to assess the efficacy of Competent Adulthood Transition with Cognitive Humanistic and Interpersonal Teaching (CATCH-IT), an internet-based cognitive behavioral therapy (CBT) intervention, in adolescents with T1D and depressive symptoms. Adolescents (13 to 17 years old) with T1D and mild (score 5¿9) or moderate (score 10¿14) depressive symptoms on Patient Health Questionnaire-Adolescent (PHQ-A) screening assessment were recruited to participate and received online access to the CATCH-IT modules for 6 months (requested to complete in 12 weeks). Statistical analyses included paired t-test for changes in Center for Epidemiologic Studies Depression Scale (CES-D), PHQ-A, Problem Areas in Diabetes-Teen version (PAID-T), and hemoglobin A1c (HbA1c). Nineteen patients were consented, 15 met inclusion criteria and received the intervention. In the seven participants that completed the modules, there was a trend towards improvements in PHQ-A, CES-D and HbA1c. Participants provided robust qualitative feedback on the modules and areas for improvement in subsequent iterations, such as inclusion of diabetes-related content. Given the prevalence of depression in diabetes, feasible, low resource interventions are needed. Internet programs such as CATCH-IT can serve as an effective first line intervention in this high-risk population. A modified version of CATCH-IT tailored for adolescents with T1D may be beneficial in this patient population. |
Link | https://doi.org/10.21037/mhealth-23-33
https://repository.tcu.edu/handle/116099117/64153 |
Department | Nursing |
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