Patient-Centered Decision Support to Improve Diabetes Management in Pre-Teens and Adolescents With Type 1 Diabetes (CHICAT1)

Indiana University

Status: Completed

Conditions: Diabetes Mellitus

Treatments: Other: Arm 1

Study type: Interventional

Funder types: Other; NIH

Identifiers

NCT03084900

1DP3DK113183-01 (U.S. NIH Grant/Contract)

1612394802

Details and patient eligibility

About

Investigators propose to study an intervention that will provide patient-centered, automated decision support to diabetes providers with the goals of improving adherence to medical recommendations (both patients and providers), improving self-management, and ultimately improving health outcomes.

Full description

Investigators propose to study an intervention that will provide patient-centered, automated decision support to diabetes providers with the goals of improving adherence to medical recommendations (both patients and providers), improving self-management, and ultimately improving health outcomes. Computer decision support systems (CDSS) have scientifically demonstrated advantages for improving care, and the potential to revolutionize diabetes care because they allow for increased reactive and proactive contact with the health care team, real-time adherence support, and intensification of treatment. In this study,investigators will implement the ADA recommended standards of care using a CDSS developed by the research group - the Child Health Improvement through Computer Automation (CHICA) system.9 One of the greatest strengths of the CHICA system is its ability to implement evidence-based recommendations from authoritative sources, in this case the ADA, in a format that integrates easily into routine care. A second strength of the CHICA system is its ability to screen for patient-centered concerns, including barriers to optimal care such as literacy, socioeconomic issues (i.e., food insecurity, housing insecurity, etc.), and mental health issues (i.e., depression). The provider is alerted, and safety mechanisms are set in motion (i.e., referral to mental health provider, etc.) to address identified issues. In order to ensure that we design the most effective CDSS intervention possible, the study team, in collaboration with the Patient Engagement Core (PEC) of the Indiana Clinical and Translational Science Institute, will partner with adolescents, parents, and other stakeholders in a way that exceeds standard expectations for the engagement of these parties in research. Investigators have experience working directly with patients to elucidate patient-centered outcomes, identify determinants of adherence, and to co-design interventions that are inherently more patient-centered.10-14 By combining a patient-centered design approach along with CDSS investigators will be able to individually tailor recommendations to meet the real needs of patients, taking into account the adolescent patient's perspective and input. This truly innovative approach will offer improved technology-based support systems for diabetes management along with attention to patient-centered goals using co-designed interventions for diabetes self-management.

Enrollment: 10 patients

Sex: All

Ages: 12+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

1. Adolescents with type 1 diabetes

2. Parents of adolescents with type 1 diabetes

3. Friends/siblings of adolescents with type 1 diabetes

4. Community partners who work with adolescents with type 1 diabetes

5. Diabetes care providers

   Exclusion Criteria:

Trial design

Primary purpose: Health Services Research

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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10 participants in 2 patient groups

Patient-Centered Decision Support

Experimental group

Description:

Intervention - computer decision support in diabetes clinic. Investigators will use a computerized decision support system to aid clinicians to provide standard of care management while introducing patient-centered guidelines and outcomes measures. The intervention is the use of an electronic decision support tool. The decision support tool consists of a series of questions answered by the patients that will then allow the health care provider to address specific needs during the visit.

Treatment:

Other: Arm 1

Standard Care

No Intervention group

Description:

Standard pediatric diabetes care will be compared to the computerized decision support system.