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Clinical Trials/NCT04049500
NCT04049500
Withdrawn
Not Applicable

An Observational Study to Adapt a Digital Diabetes Prevention Program (dDPP) and Incorporate it Into the Clinical Workflows.

NYU Langone Health0 sitesSeptember 2021

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Physician-Patient Relations
Sponsor
NYU Langone Health
Primary Endpoint
Usability will be assessed using a 5-point Likert scale
Status
Withdrawn
Last Updated
4 years ago

Overview

Brief Summary

This observational study will seek to adapt a digital diabetes prevention program (dDPP) tool suite into clinical workflows. This tool pushes key dDPP data elements (e.g. weight and daily step count) directly into EHR workflows of primary care to enhance patient engagement. It seeks to determine the impact of combining adapted visualizations and summaries of key dDPP data elements directly into the EHR with automated notifications and messaging designed to enhance patient engagement in the dDPP. The study will involve provider workflow analysis based on observation and facilitated group tool adaptation sessions.

Detailed Description

Primary objective: to examine the impact of the dDPP tool suite on the EHR and clinical workflows, and identify optimization opportunities. Secondary objective: to assess the "usability" of the proposed dDPP tool suite in clinical practice.

Registry
clinicaltrials.gov
Start Date
September 2021
End Date
September 2026
Last Updated
4 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • Physicians
  • Practice assistants
  • Health coaches
  • Population health managers
  • Patient navigators

Exclusion Criteria

  • Practices will be ineligible for participation if they treat fewer than 100 adults with prediabetes.

Outcomes

Primary Outcomes

Usability will be assessed using a 5-point Likert scale

Time Frame: 12 Months

5 point likert scale is measured on a 5 point scale, 1 being "very unsatisfied" and 5 being "very satisfied." Higher scores mean more usability

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