Blood Glucose Monitoring in Electronic Health Records
| Status: | Completed |
|---|---|
| Conditions: | Diabetes |
| Therapuetic Areas: | Endocrinology |
| Healthy: | No |
| Age Range: | 18 - Any |
| Updated: | 12/22/2018 |
| Start Date: | May 1, 2018 |
| End Date: | October 31, 2018 |
Integration of Blood Glucose Monitoring Into Electronic Health Records
This multi-site randomized tral aims to test methods of increasing adoption and integration
of blood glucose monitoring into electronic medical records, and to measure the impact of
widescale adoption on health status of patients with diabetes. To investigate determinants of
adoption, the research will combine and test doctor and patient focused approaches to
encouraging patient use of blood glucose flow sheets through the online patient portal,
MyChart. Adoption will be measured on both the extensive and intensive margin: the number of
patients who enter data into the flowsheets at all during the study period, and the mean
number of entries per patient during the study period. Conditional on statistically
significant increases in adoption, the study will examine corresponding intent-to-treat
effects on patient A1c, and consider other indicators of possible mechanisms through which
A1c improves or does not improve.
of blood glucose monitoring into electronic medical records, and to measure the impact of
widescale adoption on health status of patients with diabetes. To investigate determinants of
adoption, the research will combine and test doctor and patient focused approaches to
encouraging patient use of blood glucose flow sheets through the online patient portal,
MyChart. Adoption will be measured on both the extensive and intensive margin: the number of
patients who enter data into the flowsheets at all during the study period, and the mean
number of entries per patient during the study period. Conditional on statistically
significant increases in adoption, the study will examine corresponding intent-to-treat
effects on patient A1c, and consider other indicators of possible mechanisms through which
A1c improves or does not improve.
Inclusion Criteria:
- Adult patients of Inova physicians at primary care sites other than Ashburn II Primary
Care, Lake Ridge Primary Care and Springfield Primary Care
- Current diabetes mellitus diagnosis
- Active MyChart account at time of treatment administration
Exclusion Criteria:
- Patients who participating physicians identify as pregnant
- Patients who participating physicians identify as having contraindications for
tracking of blood glucose
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