- ICH GCP
- Registro de ensaios clínicos dos EUA
- Ensaio Clínico NCT02907346
A Reinforcement Approach to Increase Use of CGM
Visão geral do estudo
Status
Condições
Intervenção / Tratamento
Descrição detalhada
The purpose of this pilot project is to evaluate the effectiveness of a behavioral economic intervention to increase use of continuous glucose monitors (CGM) in adolescents and young adults with T1D. This study will be done in conjunction with Nancy Petry, PhD and her research team at University of Connecticut School of Medicine (UConn Health). The intervention will reinforce patients for wearing CGM and for uploading it and reviewing its data. A 6-month pilot trial will be conducted with up to 20 patients receiving the intervention. The specific aims are:
- To estimate how well a reinforcement intervention increases usage of CGM. The proportion of days on which participants wear the CGM will be determined as well as the number of weeks during which CGM is worn at least 5 days. We will compare usage rates in the pilot trial to historical control data of patients initiating CGM.
- To evaluate the association between CGM usage and A1c. We expect A1c will decrease over time in patients who receive the reinforcement intervention. Patients who continue using the CGM are expected to have greater decreases in A1c than patients who discontinue its usage.
Evaluations will be conducted at time of CGM initiation, and 6, 13, 19, 26, and 39 weeks after treatment initiation to assess effects of the intervention and estimate effect sizes.
In addition to the primary aims, secondary outcomes will also be evaluated. Continued use of CGM is expected to improve aspects of diabetes management and daily functioning. Predictors of continued CGM usage and improvements in A1c will also be evaluated.
Results from this pilot study will be instrumental for guiding a subsequent, larger and longer term randomized study for evaluating reinforcement interventions for improving uptake of CGM, other diabetes-related adherence behaviors, and long-term outcomes.
Tipo de estudo
Inscrição (Real)
Estágio
- Não aplicável
Contactos e Locais
Locais de estudo
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Connecticut
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New Haven, Connecticut, Estados Unidos, 06520
- Yale University School Of Medicine
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Critérios de participação
Critérios de elegibilidade
Idades elegíveis para estudo
Aceita Voluntários Saudáveis
Gêneros Elegíveis para o Estudo
Descrição
Inclusion Criteria:
- age 13-26 years old;
- diagnosis of type 1 diabetes (T1D) >12 months via ADA guidelines
- average A1c >7.5% and <14% during the year before study entry, and most recent A1c >7.5% but <14%;
- have ordered and received a CGM, but have not used a CGM >3 days a week on average during the past 6 months.
- test blood glucose levels at least 2 times per day on average;
- access to a computer with internet for uploading CGM data;
- access to a cell phone to communicate with research staff;
- English speaking, able to read at >5th grade level, and pass an informed consent quiz; and adequate knowledge of insulin dosing and dietary recommendations for managing T1D.
Exclusion Criteria:
- have a major psychiatric or neurocognitive disorder (e.g., severe learning impairment) that would inhibit participation;
- have a major visual impairment;
- have a significant other medical condition that impacts diabetes management (e.g., rheumatoid arthritis, or other condition that requires steroid treatment);
- plan to switch insulin delivery mode (injection to pump or vice versa) in the next 12 months, or have recently switched.
- Fail to complete the baseline phase wearing the CGM.
Plano de estudo
Como o estudo é projetado?
Detalhes do projeto
- Finalidade Principal: Tratamento
- Alocação: N / D
- Modelo Intervencional: Atribuição de grupo único
- Mascaramento: Nenhum (rótulo aberto)
Armas e Intervenções
Grupo de Participantes / Braço |
Intervenção / Tratamento |
|---|---|
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Experimental: Reinforcement for wearing CGM
The intervention will reinforce patients for wearing CGM and for uploading it and reviewing its data.
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The intervention will reinforce patients for wearing CGM and for uploading it and reviewing its data.
Outros nomes:
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O que o estudo está medindo?
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
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Change in the Proportion of days participants wear the CGM
Prazo: up to 39 weeks
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CGM data uploaded to a CGM tracking website (e.g., Dexcom CLARITY™, Carelink) will be used to calculate the change in the proportion of days when the patient wore the CGM.
At the 6, 13, 19, 26 and 39 week study visits, data will be uploaded and exported into an Excel file to calculate the days.
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up to 39 weeks
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Change in the number of weeks participants wear the CGM on at least 5 days
Prazo: up to 39 weeks
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CGM data uploaded to a CGM tracking website (e.g., Dexcom CLARITY™, Carelink) will be used to calculate the change in the number of weeks when the CGM is worn at least 5 days.
At the 6, 13, 19, 26 and 39 week study visits, CGM data will be uploaded and exported into an Excel file to calculate the number of weeks when it is worn at least 5 days.
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up to 39 weeks
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Change in A1c
Prazo: up to 39 weeks
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Change in A1c will be evaluated at the week 6, 13, 19, 26 and 39 week study visits by finger prick (DCA Vantage,Siemons).
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up to 39 weeks
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Colaboradores e Investigadores
Patrocinador
Investigadores
- Investigador principal: William Tamborlane, MD, Yale University
Datas de registro do estudo
Datas Principais do Estudo
Início do estudo (Real)
Conclusão Primária (Real)
Conclusão do estudo (Real)
Datas de inscrição no estudo
Enviado pela primeira vez
Enviado pela primeira vez que atendeu aos critérios de CQ
Primeira postagem (Estimativa)
Atualizações de registro de estudo
Última Atualização Postada (Real)
Última atualização enviada que atendeu aos critérios de controle de qualidade
Última verificação
Mais Informações
Termos relacionados a este estudo
Termos MeSH relevantes adicionais
Outros números de identificação do estudo
- 1603017504
- 1DP3DK097705-01 (Concessão/Contrato do NIH dos EUA)
Plano para dados de participantes individuais (IPD)
Planeja compartilhar dados de participantes individuais (IPD)?
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