Observational studyJournal of diabetes science and technology2016
White Coat Adherence in Pediatric Patients With Type 1 Diabetes Who Use Insulin Pumps.
Observational study in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The trial behind it
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
12 citing papers in PubMed, 27 citations in OpenAlex.
- A Web-Delivered Multicomponent Intervention for Adolescents with Poorly Controlled Type 1 Diabetes: A Pilot Randomized Controlled Trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018Trial
- White Coat Adherence Occurs in Adolescents With Type 1 Diabetes Receiving Intervention to Improve Insulin Pump Adherence Behaviors.Journal of diabetes science and technology · 2017Trial
- The Relationship Between Parent Fear of Hypoglycemia and Youth Glycemic Control Across the Recent-Onset Period in Families of Youth with Type 1 Diabetes.International journal of behavioral medicine · 2024Article
- Whitecoat Adherence in Patients With Primary Open-Angle Glaucoma.Frontiers in medicine · 2022Article
- Mealtime insulin BOLUS score increases prior to clinic visits in youth with type 1 diabetes.BMJ open diabetes research & care · 2020Article
- Data-Driven Diabetes Education Guided by a Personalized Report for Patients on Insulin Pump Therapy.ACI open · 2020Article
- Biopsychosocial Factors Associated With Satisfaction and Sustained Use of Artificial Pancreas Technology and Its Components: a Call to the Technology Field.Current diabetes reports · 2018Review
- Diabetes conflict outstrips the positive impact of self-efficacy on youth adherence and glycemic control in type 1 diabetes.Pediatric diabetes · 2017Article
- Self-Management Behaviors in Adults on Insulin Pump Therapy.Journal of diabetes science and technology · 2017Article
- Measures of Adherence and Challenges in Using Glucometer Data in Youth with Type 1 Diabetes: Rethinking the Value of Self-Report.Journal of diabetes research · 2017Article
- Adherence to Insulin Pump Behaviors in Young Children With Type 1 Diabetes Mellitus.Journal of diabetes science and technology · 2017Article
- Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose was to assess the occurrence of white coat adherence, defined as an increase in adherence to treatment regimens prior to a clinic appointment, in children and adolescents with type 1 diabetes (T1D) who use insulin pumps.
methodsBlood glucose monitoring (BGM) data, carbohydrate inputs, and insulin boluses delivered were downloaded from the insulin pumps of children and adolescents, aged 7-19 years with T1D, at 2 consecutive routine diabetes clinic visits. Linear mixed models were used to analyze patterns of BGM, carbohydrate inputs, and insulin boluses delivered in patients who had ≥28 days of data stored in their insulin pumps.
resultsIn general, younger children engaged in more frequent BGM, carbohydrate inputs, and insulin boluses delivered than older children and adolescents. White coat adherence occurred with frequency of BGM, carbohydrate inputs, and insulin boluses delivered, but only in younger children.
conclusionsDiabetes care providers need to be aware that white coat adherence may occur, particularly in young children. Providers routinely download meter and insulin pump data for the 1- to 2-week period before the clinic visit. For patients exhibiting white coat adherence, their data will overestimate the patient's actual adherence.
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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.