- ICH GCP
- Registro de ensayos clínicos de EE. UU.
- Ensayo clínico NCT04226027
Dynamically Tailored Behavioral Interventions in Diabetes
Dynamically Tailoring Interventions for Problem-Solving in Diabetes Self-Management Using Self-Monitoring Data - a Randomized Controlled Trial (RCT)
Descripción general del estudio
Descripción detallada
One of the main difficulties in managing diabetes is that each affected individual requires personally tailored combination of diet, exercise, and medication to effectively control their blood sugar. Rather than strictly following a doctor's prescription, individuals need to carefully examine their lifestyle choices and their impact on their health. Independent learning, experimentation and problem solving become of great importance. However, they can be challenging for individuals with diabetes. In this project, the investigators will refine and evaluate a novel intervention for diabetes self-management that uses computational analysis of self-monitoring data to help individuals with type 2 diabetes identify what daily activities, including consumption of meals, physical activity, and sleep, have impact on blood glucose levels, and suggest modifications to these daily activities to improve blood glucose levels.
Growing evidence highlights significant differences in glycemic function and cultural, social, and economical circumstances of individuals with type 2 diabetes (T2DM) that impact their self-management. Precision medicine strives to personalize medical treatment to an individual's genetic makeup, computationally discovered clinical phenotypes and lifestyle. Studies showed the benefits of tailoring not only medical treatment, but also behavioral interventions. Yet, currently, personalization of self-management in T2DM requires each individual to engage in discovery, reflection, and problem-solving-critical but cognitively demanding activities-or to rely on their healthcare providers. Both of these may present considerable barriers to individuals from medically under-served low income communities. Mobile health (mHealth) solutions in T2DM bring promise of reaching wider populations in need of self-management; however, few such solutions provide assistance with personalizing self-management behaviors. Ongoing efforts on personalizing behavioral interventions outside of T2DM focus on tailoring behavior modification techniques to individuals' psycho-social characteristics, such as self-efficacy ), and tailoring delivery of intervention to individuals' context rather than on personalizing self-management strategies.
The ongoing focus of this research is on developing informatics interventions for diabetes self-management, with a specific focus on discovery with self-monitoring data and on problem-solving for improving glycemic control. In the proposed research the investigators introduce T2.coach, an mHealth intervention that uses computational analysis of self-monitoring data to identify behavioral patterns associated with poor glycemic control and formulate personalized behavioral goals for changing problematic behaviors. This study will evaluate T2.coach's efficacy in a two-arm RCT with stratified randomization conducted with Clinical Directors Network (CDN), a well-recognized primary care practice-based research network (PBRN) of Federally Qualified Health Centers (FQHCs), and Agency for Healthcare Research and Quality (AHRQ)-designated Center of Excellence (P30) for Practice-based Research and Learning.
Tipo de estudio
Inscripción (Anticipado)
Fase
- No aplica
Contactos y Ubicaciones
Ubicaciones de estudio
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New York
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New York, New York, Estados Unidos, 10032
- Reclutamiento
- Columbia University Irving Medical Center
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Contacto:
- Olena Mamykina, PhD
- Número de teléfono: 212-305-3923
- Correo electrónico: om2196@cumc.columbia.edu
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New York, New York, Estados Unidos, 10018
- Reclutamiento
- Clinical Directors Network
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Contacto:
- Andrea Cassells, MPH
- Número de teléfono: 212-382-0699
- Correo electrónico: acass@cdnetwork.org
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Sub-Investigador:
- Andrea Cassells, MPH
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Investigador principal:
- Jonathan Tobin, PhD
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Criterios de participación
Criterio de elegibilidad
Edades elegibles para estudiar
Acepta Voluntarios Saludables
Géneros elegibles para el estudio
Descripción
Inclusion Criteria:
- Patient of the health center for ≥ 6 months and a diagnosis of T2DM
- HbA1c ≥ 8.0,
- Aged 18 to 65 years
- Attends diabetes education program at the health center
- Owns a basic mobile phone
- Proficient in either English or Spanish
Exclusion Criteria:
- Pregnant
- Presence of severe cognitive impairment (recorded in patient chart),
- Existence of other serious illnesses (e.g. cancer diagnosis with active treatment, advanced stage heart failure, dialysis, multiple sclerosis, advanced retinopathy, recorded in patient chart),
- Plans for leaving the FQHC in the next 12 months,
- Participation in the previous trial of diabetes self-management technologies
Plan de estudios
¿Cómo está diseñado el estudio?
Detalles de diseño
- Propósito principal: Otro
- Asignación: Aleatorizado
- Modelo Intervencionista: Asignación paralela
- Enmascaramiento: Ninguno (etiqueta abierta)
Armas e Intervenciones
Grupo de participantes/brazo |
Intervención / Tratamiento |
---|---|
Experimental: T2.coach
Participants receive standard care (diabetes self-management education provided by their Federally Qualified Community Health Center) and are asked to use T2.coach for 6 months.
|
T2.coach is a smartphone app for low-burden capture of diet and blood glucose (BG) levels and for reviewing past records, integrated with FitBit for captured of physical activity and sleep.
All captured data are sent to the computational inference engine that uses machine learning methods and expert system to formulate personalized behavioral goals.
Examples of behavioral goals include the following: "For high carbohydrate breakfasts, reduce your carbs to be about 1 carb choice.
Examples of 1 carb choice are 1 slice of whole wheat toast, 1 cup of oatmeal, or 1 apple."
The T2.coach chatbot companion uses text messages to help individuals set goals that are consistent with evidence based guidelines for diabetes self-management, inferences on data captured with T2.coach, and their own preferences, as well as send individuals goal reminders and prompts for reflection on goal achievement.
|
Sin intervención: Control
Participants receive standard care (diabetes self-management education provided by their Federally Qualified Community Health Center).
|
¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
---|---|---|
Change in HbA1c value
Periodo de tiempo: Baseline, 6 months, 12 months
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Hemoglobin A1c
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Baseline, 6 months, 12 months
|
Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
---|---|---|
DPSI Score
Periodo de tiempo: Baseline, 6 months, 12 months
|
Diabetes Problem-Solving Inventory (DPSI) is a 9-item, open-ended questionnaire.
Answers are coded on a Likert 5-point scale (1-very poor strategy; 5-excellent strategy).
The final score ranges from 1 (lowest) to 5 (highest) and an overall score ≤3 indicates poor diabetes problem solving, so a higher score indicates a better outcome.
|
Baseline, 6 months, 12 months
|
SCA-I Score
Periodo de tiempo: Baseline, 6 months, 12 months
|
Diabetes Self-Care Inventory (SCA-I) is a 15-item 5-point Likert scale (1-never engage; 5-always engage) for measuring different aspects of diabetes self-care.
The final score ranges from 1 (lowest) to 5 (highest) with a higher score indicating better self-care (better outcome).
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Baseline, 6 months, 12 months
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DSES Score
Periodo de tiempo: Baseline, 6 months, 12 months
|
Diabetes Self-Efficacy Scale (DSES) is a 15-item 10-point Likert scale (1-not at all confident; 4-totally confident) that measures the belief that one can self-manage one's own health, adapted to diabetes.
The final score ranges from 1 (lowest) to 4 (highest) with a lower score indicating poor self-efficacy (worse outcome).
|
Baseline, 6 months, 12 months
|
PAID Score
Periodo de tiempo: Baseline, 6 months, 12 months
|
Problem Areas in Diabetes (PAID) is a 20-item 5-point Likert scale (0-not a problem; 4-very serious problem) that measures the emotional aspect of living with diabetes.
The final score ranges from 0 (lowest) to 80 (highest), with a higher score indicating greater emotional discomfort (worse outcome).
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Baseline, 6 months, 12 months
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Colaboradores e Investigadores
Patrocinador
Colaboradores
Investigadores
- Investigador principal: Olena Mamykina, PhD, Columbia University
Fechas de registro del estudio
Fechas importantes del estudio
Inicio del estudio (Actual)
Finalización primaria (Anticipado)
Finalización del estudio (Anticipado)
Fechas de registro del estudio
Enviado por primera vez
Primero enviado que cumplió con los criterios de control de calidad
Publicado por primera vez (Actual)
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
Última actualización enviada que cumplió con los criterios de control de calidad
Última verificación
Más información
Términos relacionados con este estudio
Palabras clave
Términos MeSH relevantes adicionales
Otros números de identificación del estudio
- AAAS5528
- R01DK113189 (Subvención/contrato del NIH de EE. UU.)
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
Descripción del plan IPD
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
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