Evaluation of a Dashboard for Diabetes Care Integrated With the Electronic Health Record
Status: | Recruiting |
---|---|
Conditions: | Diabetes, Diabetes |
Therapuetic Areas: | Endocrinology |
Healthy: | No |
Age Range: | 18 - Any |
Updated: | 2/3/2019 |
Start Date: | January 9, 2019 |
End Date: | May 2020 |
Contact: | Kensaku Kawamoto, MD, PhD, MHS |
Email: | kensaku.kawamoto@utah.edu |
Phone: | 801-587-8076 |
Evaluation of an EHR-Integrated Dashboard for Diabetes Care
Diabetes is a significant medical problem in the United States and across the world. Despite
significant progress in understanding how to better manage diabetes, there is oftentimes
still uncertainty in the optimal management strategy for a specific patient. As a result,
providers and patients must often use a trial-and-error approach to identify an effective
treatment regimen.
The objective of this research is to evaluate a diabetes dashboard integrated with the
electronic health record (EHR) that has been developed as a collaborative project between the
University of Utah and Hitachi, Ltd. This dashboard tool provides a graphical overview of the
patient's relevant data parameters as well as information on the impact of different
treatment options on previous patients with similar characteristics. The different treatment
options compare the predicted impact of relevant medication regimens as well as weight loss.
Primary care clinics are randomized to either an intervention condition where the tool is
available or to a control condition where the tool is not yet available. Patients' hemoglobin
A1c levels (a measure of diabetes control) are the main outcome variable. Other secondary
analyses will also be conducted. Use of the tool will be encouraged but optional. Following
any suggestions made in the tool will also be optional and up to the discretion of the
clinician.
significant progress in understanding how to better manage diabetes, there is oftentimes
still uncertainty in the optimal management strategy for a specific patient. As a result,
providers and patients must often use a trial-and-error approach to identify an effective
treatment regimen.
The objective of this research is to evaluate a diabetes dashboard integrated with the
electronic health record (EHR) that has been developed as a collaborative project between the
University of Utah and Hitachi, Ltd. This dashboard tool provides a graphical overview of the
patient's relevant data parameters as well as information on the impact of different
treatment options on previous patients with similar characteristics. The different treatment
options compare the predicted impact of relevant medication regimens as well as weight loss.
Primary care clinics are randomized to either an intervention condition where the tool is
available or to a control condition where the tool is not yet available. Patients' hemoglobin
A1c levels (a measure of diabetes control) are the main outcome variable. Other secondary
analyses will also be conducted. Use of the tool will be encouraged but optional. Following
any suggestions made in the tool will also be optional and up to the discretion of the
clinician.
This study is a pragmatic clinic-randomized controlled trial of a diabetes dashboard
integrated with the electronic health record (EHR). The diabetes dashboard is available as a
tab in the EHR and enables clinicians to confirm relevant patient parameters, select
treatment goals, and review likely outcomes from alternative treatment strategies through an
interactive graphical user interface. In the review process, it enables providers and
patients to compare up to three potential therapies side-by side including weight-loss in
terms of a) personalized-predicted probability of achieving treatment goals; b) general
potential risks, benefits, and medication costs; and c) relevant financial information
specific to the patient's insurance. The personalized prediction is performed by a predictive
model developed by analyzing a data set of primary care clinic patients with diabetes
mellitus. The diabetes dashboard is seamlessly integrated with the EHR using an
interoperability standard known as SMART on FHIR (short for Substitutable Medical Apps
Reusable Technologies on Fast Healthcare Interoperability Resources).
The study is being conducted at University of Utah primary care clinics. In the intervention
group clinics, providers will be introduced to the tool and supported using targeted
implementation techniques including education feedback and tailored facilitation. Iterative
enhancements will be made to the tool if warranted based on the results of a formative
evaluation during the 1-year trial. Use of the tool and associated suggestions will be
optional and up to the discretion of the clinician. When patients are seen at clinics
randomized to the control arm, clinical providers will not have access to the tool. Following
introduction of the tool across intervention clinics, a 1-year trial will be conducted. Use
of the tool will be encouraged and supported through targeted implementation strategies. Use
of the tool will be regularly monitored, and a mixed-methods evaluation will be conducted of
the tool and its impact. The primary outcome measure will be hemoglobin A1c (HbA1c) levels,
which are an important physiological marker of diabetes control. Secondary measures will
include body mass index (BMI) and the cost of diabetes medications prescribed. Other measures
will include usage of the tool and clinical users' opinions of the tool.
The evaluation period will start once all intervention clinics have been educated/trained on
use of the tool. The primary study analyses will be limited to adult patients who were seen
at least twice in the intervention or control clinics during the evaluation period for office
visits with a visit diagnosis of diabetes mellitus, who are known to have diabetes mellitus
(but not type-1 diabetes mellitus), who had at least one HbA1c of >= 7.5% during the
evaluation period, and who are not already on maximal diabetes therapy (as defined by the use
of short-acting insulin) at the start of the study. Secondary study analyses will be
conducted on patient subsets, including a per protocol analysis of cases where the tool was
used.
integrated with the electronic health record (EHR). The diabetes dashboard is available as a
tab in the EHR and enables clinicians to confirm relevant patient parameters, select
treatment goals, and review likely outcomes from alternative treatment strategies through an
interactive graphical user interface. In the review process, it enables providers and
patients to compare up to three potential therapies side-by side including weight-loss in
terms of a) personalized-predicted probability of achieving treatment goals; b) general
potential risks, benefits, and medication costs; and c) relevant financial information
specific to the patient's insurance. The personalized prediction is performed by a predictive
model developed by analyzing a data set of primary care clinic patients with diabetes
mellitus. The diabetes dashboard is seamlessly integrated with the EHR using an
interoperability standard known as SMART on FHIR (short for Substitutable Medical Apps
Reusable Technologies on Fast Healthcare Interoperability Resources).
The study is being conducted at University of Utah primary care clinics. In the intervention
group clinics, providers will be introduced to the tool and supported using targeted
implementation techniques including education feedback and tailored facilitation. Iterative
enhancements will be made to the tool if warranted based on the results of a formative
evaluation during the 1-year trial. Use of the tool and associated suggestions will be
optional and up to the discretion of the clinician. When patients are seen at clinics
randomized to the control arm, clinical providers will not have access to the tool. Following
introduction of the tool across intervention clinics, a 1-year trial will be conducted. Use
of the tool will be encouraged and supported through targeted implementation strategies. Use
of the tool will be regularly monitored, and a mixed-methods evaluation will be conducted of
the tool and its impact. The primary outcome measure will be hemoglobin A1c (HbA1c) levels,
which are an important physiological marker of diabetes control. Secondary measures will
include body mass index (BMI) and the cost of diabetes medications prescribed. Other measures
will include usage of the tool and clinical users' opinions of the tool.
The evaluation period will start once all intervention clinics have been educated/trained on
use of the tool. The primary study analyses will be limited to adult patients who were seen
at least twice in the intervention or control clinics during the evaluation period for office
visits with a visit diagnosis of diabetes mellitus, who are known to have diabetes mellitus
(but not type-1 diabetes mellitus), who had at least one HbA1c of >= 7.5% during the
evaluation period, and who are not already on maximal diabetes therapy (as defined by the use
of short-acting insulin) at the start of the study. Secondary study analyses will be
conducted on patient subsets, including a per protocol analysis of cases where the tool was
used.
Inclusion Criteria:
- >= 18 years old
- Are being seen at a University of Utah primary care clinic
- Has diabetes mellitus
Exclusion Criteria:
Note that the primary study analyses will be on a subset of these patients. See the
Detailed Description subsection in the Study Description section for details.
We found this trial at
1
site
50 North Medical Drive
Salt Lake City, Utah 84132
Salt Lake City, Utah 84132
Principal Investigator: Kensaku Kawamoto, MD, PhD, MHS
Phone: 801-587-8076
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