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Using Practice Facilitation and Operationalizing Referral Information Technology to Increase DSMES Utilization

Not Applicable
Completed
Conditions
Diabetes
Interventions
Other: UP FOR IT - health information technology
Other: UP FOR IT - practice facilitation
Registration Number
NCT05472142
Lead Sponsor
Mary Lacy
Brief Summary

This is a pilot and feasibility study of a pragmatic cluster randomized trial that utilizes health information technology and practice facilitation to address referral barriers and increase clinician awareness and motivation to refer patients with diabetes to diabetes self-management education and services (DSMES).

Detailed Description

Diabetes self-management education and support (DSMES) is an evidence-based educational program that helps people with diabetes better control their blood sugar (improved hemoglobin A1c) and reduce diabetes-related complications and healthcare costs. DSMES is strikingly underutilized with fewer than 10% of eligible patients receiving this helpful service due to patient-, clinician-, and health system-level barriers that include low clinician awareness and lack of integrated referral processes between clinics and community-based DSMES programs.

In this study, we will conduct a pilot and feasibility study of a pragmatic cluster randomized trial that utilizes health information technology and practice facilitation to address referral barriers and increase clinician awareness and motivation to refer patients with diabetes to DSMES. We have partnered with the Kentucky Department of Public Health (KDPH, statewide DSMES provider), the Kentucky Regional Extension Center (KY-REC, practice facilitation partner), and the Kentucky Health Information Exchange (health information technology (HIT) partner). We will recruit two healthcare systems in rural Kentucky to participate in the study. Within each healthcare organization, we will randomize control and intervention clusters at the clinic level. Clinics in the intervention group will participate in the 12-month intervention which incorporates health information technology and practice facilitation. The health information technology component provides the scaffolding for quality improvement efforts by automating patient identification and enabling bi-directional referral communication between providers and DSMES programs. Health information technology support will be available at all clinic sites within participating health care organizations, including the control clinics. The practice facilitation collaborative trains and supports clinical teams to use the Model for Improvement to make "breakthrough" improvements in diabetes care and DSMES utilization by recognizing barriers and changing clinical systems and care practices.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
22
Inclusion Criteria
  • Clinics are being recruited to participate in the intervention. All clinic staff at participating clinics are eligible for inclusion in the study.
Exclusion Criteria
  • There are no exclusion criteria beyond employment at a participating clinic.

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Control ClusterUP FOR IT - health information technologyClinics in the control group will only be provided with health information technology; they will not participate in the 12-month intervention which incorporates health information technology and practice facilitation.
Intervention ClusterUP FOR IT - health information technologyClinics in the intervention group will participate in the 12-month intervention which incorporates health information technology and practice facilitation.
Intervention ClusterUP FOR IT - practice facilitationClinics in the intervention group will participate in the 12-month intervention which incorporates health information technology and practice facilitation.
Primary Outcome Measures
NameTimeMethod
Change in DSMES Referrals18 months (baseline and post-study)

DSMES referrals will be measured as change in clinic-level referral rate from baseline to the end of the active intervention and follow-up period. The outcome will be assessed through clinic electronic health record data.

Secondary Outcome Measures
NameTimeMethod
Change in A1c Levels18 months (baseline and post-study)

Participant A1c levels will be measured from baseline to the end of the active intervention and follow-up period. The outcome will be assessed through clinic-level aggregate data extracted from electronic health record data.

Change in DSMES Attendance18 months (baseline and post-study)

DSMES attendance will be measured as the change in clinic-level attendance rate from baseline to the end of the active intervention and follow-up period. The outcome will be assessed through aggregated, de-identified data that is routinely collected by DSMES providers.

Trial Locations

Locations (1)

University of Kentukcy

🇺🇸

Lexington, Kentucky, United States

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