Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
study was never started
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) | NIH |
Not provided
Not provided
Not provided
Not provided
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.
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.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Clinicians | Five practices will be selected from NYULH ambulatory practice sites to represent the spectrum of provider settings within the system. These sites will be the clinical partners for the adaptation of the dDPP tool suite |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Digital Diabetes Prevention Program (dDPP) | Other | dDPP tool suite to integrate with the EHR and clinical workflows |
|
| Measure | Description | Time Frame |
|---|---|---|
| Usability will be assessed using a 5-point Likert scale | 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 | 12 Months |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Five practices will be selected from NYULH ambulatory practice sites to represent the spectrum of provider settings within the system. These sites will be the clinical partners for the adaptation of the dDPP tool suite.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Devin Mann, MD | NYU Langone | Principal Investigator |
Not provided
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38446539 | Derived | Rodriguez DV, Lawrence K, Gonzalez J, Brandfield-Harvey B, Xu L, Tasneem S, Levine DL, Mann D. Leveraging Generative AI Tools to Support the Development of Digital Solutions in Health Care Research: Case Study. JMIR Hum Factors. 2024 Mar 6;11:e52885. doi: 10.2196/52885. | |
| 33560240 | Derived | Lawrence K, Rodriguez DV, Feldthouse DM, Shelley D, Yu JL, Belli HM, Gonzalez J, Tasneem S, Fontaine J, Groom LL, Luu S, Wu Y, McTigue KM, Rockette-Wagner B, Mann DM. Effectiveness of an Integrated Engagement Support System to Facilitate Patient Use of Digital Diabetes Prevention Programs: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2021 Feb 9;10(2):e26750. doi: 10.2196/26750. |
Not provided
Not provided
Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices).Upon reasonable request.Requests should be directed to devin.mann@nyulangone.org. To gain access, data requestors will need to sign a data access agreement.
Beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research.
The investigator who proposed to use the data.
Not provided
Not provided
Not provided
Not provided
Not provided