ArticleDiabetes technology & therapeutics2015
Technology Use for Diabetes Problem Solving in Adolescents with Type 1 Diabetes: Relationship to Glycemic Control.
Article in Diabetes technology & therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study.JMIR mHealth and uHealth · 2022Trial
- A Text Messaging Intervention With Financial Incentive for Adolescents With Type 1 Diabetes.Journal of diabetes science and technology · 2022Trial
- A Community and Technology-Based Approach for Hypertension Self-Management (COACHMAN) to Improve Blood Pressure Control in African Americans: Results from a Pilot Study.Patient preference and adherence · 2020Trial
- Psychosocial Effects of the Loop Open-Source Automated Insulin Delivery System.Journal of diabetes science and technology · 2023Article
- Before-Visit Questionnaire: A Tool to Augment Communication and Decrease Provider Documentation Burden in Pediatric Diabetes.Applied clinical informatics · 2021Article
- Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes.Endocrine reviews · 2019Review
- Experiences of Adults With Type 1 Diabetes Using Glucose Sensor-Based Mobile Technology for Glycemic Variability: Qualitative Study.JMIR diabetes · 2019Article
- Technology Use in Transition-Age Patients With Type 1 Diabetes: Reality and Promises.Journal of diabetes science and technology · 2016Review
- Use of Commonly Available Technologies for Diabetes Information and Self-Management Among Adolescents With Type 1 Diabetes and Their Parents: A Web-Based Survey Study.Interactive journal of medical research · 2015Article
- Technology Use for Problem Solving in Adolescent Type 1 Diabetes.Diabetes technology & therapeutics · 2015Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThis study examines technology use for problem solving in diabetes and its relationship to hemoglobin A1C (A1C). SUBJECTS AND
methodsA sample of 112 adolescents with type 1 diabetes completed measures assessing use of technologies for diabetes problem solving, including mobile applications, social technologies, and glucose software. Hierarchical regression was performed to identify the contribution of a new nine-item Technology Use for Problem Solving in Type 1 Diabetes (TUPS) scale to A1C, considering known clinical contributors to A1C.
resultsMean age for the sample was 14.5 (SD 1.7) years, mean A1C was 8.9% (SD 1.8%), 50% were female, and diabetes duration was 5.5 (SD 3.5) years. Cronbach's α reliability for TUPS was 0.78. In regression analyses, variables significantly associated with A1C were the socioeconomic status (β = -0.26, P < 0.01), Diabetes Adolescent Problem Solving Questionnaire (β = -0.26, P = 0.01), and TUPS (β = 0.26, P = 0.01). Aside from the Diabetes Self-Care Inventory--Revised, each block added significantly to the model R(2). The final model R(2) was 0.22 for modeling A1C (P < 0.001).
conclusionsResults indicate a counterintuitive relationship between higher use of technologies for problem solving and higher A1C. Adolescents with poorer glycemic control may use technology in a reactive, as opposed to preventive, manner. Better understanding of the nature of technology use for self-management over time is needed to guide the development of technology-mediated problem solving tools for youth with type 1 diabetes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.