The Design of the Electronic Health Record in Type 1 Diabetes Centers: Implications for Metrics and Data Availability for a Quality Collaborative
Authors' conclusion
The lack of standardization in EHR tools, workflows, and data elements captured resulted in variability in available metrics across centers. Further work is needed to support measurement and subsequent improvement in quality of care for individuals with type 1 diabetes.
Study context
- Population
- Quality Improvement (QI) representatives at 13 Type 1 Diabetes Exchange Quality Improvement Collaborative (T1DX-QI) centers
- Participants
- 13 centers
- Outcome
- EHR tools, workflows, data elements and available metrics
Methodological detailsmulticentre, Data captured by various stakeholders: health care professionals, educators, medical assistants, QI coordinators
- Multicentre
- Data captured by various stakeholders: health care professionals, educators, medical assistants, QI coordinators
Main finding
As reported in the abstract
- Centers with access to structured data tools
- All centers
- Centers with access to patient questionnaires
- 9
- Centers with integration with a device platform
- 2
- Available metrics per center (significant variability in electronic health record (EHR) tools, workflows, data elements)
- 4 to 17
- Centers with information on glycemic outcomes and diabetes technology use
- 13
- Centers with measurements of additional self-management behaviors
- 7
- Centers capturing social determinants of health
- 9
- Centers capturing depression
- 11
- Centers capturing transition to adult care
- 7
- Centers capturing diabetes distress
- 3
Original publication
The Design of the Electronic Health Record in Type 1 Diabetes Centers: Implications for Metrics and Data Availability for a Quality Collaborative. J Diabetes Sci Technol. Published 23 November 2023. doi:10.
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