Pre-Diabetes Cardiovascular (CV) Care (Pre-Diabetes Wizard)
Study Details
Study Description
Brief Summary
Nearly one in three adults has prediabetes, a condition that substantially increases the risk of heart attacks and stroke. The increased cardiovascular risk associated with prediabetes can be effectively managed by lifestyle changes or medication therapy, but recent data shows few prediabetes patients are treated effectively. In this project, we will adapt, implement, and evaluate a proven electronic health record-linked, web-based clinical decision support system to identify patients with prediabetes and provide prioritized treatment recommendations to patients and providers in a rural health system. The results of the project will provide a template for implementation of more efficient and effective rural healthcare and have the potential to substantially and improve cardiovascular quality of care and clinical outcomes of millions of rural Americans with prediabetes.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
N/A |
Detailed Description
Nearly one in three adults in rural communities has prediabetes, a condition that increases the risk of heart attacks and stroke but can be managed by use of metformin, lifestyle interventions, and control of major cardiovascular (CV) risk factors. However, current prediabetes care is characterized by: (a) delayed recognition of prediabetes; (b) patient unawareness of effective treatment options for prediabetes; (c) poor control of concomitant major CV risk factors; (d) very low rates of metformin initiation; and (e) low rates of follow up to assess ongoing effectiveness of prediabetes management.1-3 Increased use of electronic health records (EHR) in rural communities now provides a new opportunity to improve awareness and management of prediabetes and to reduce these patients' significant CV risk burden. In this project, we implement and evaluate an EHR-linked, Web-based clinical decision support (CDS) system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke. To accomplish this objective, we randomly allocate 30 primary care clinics with their 450 primary care providers and estimated 17,000 prediabetes patients to one of two intervention arms: Usual Care; or else the prediabetes CDS to optimize management and follow up of prediabetes patients with uncontrolled CV risk factors. Random-effects models assess intervention impact on: (a) American College of Cardiology/American Heart Association (ACC/AHA) pooled CV risk; (b) major CV risk factors (blood pressure, lipids, HbA1c, smoking, and BMI); (c) use of evidence-based drugs, including metformin, and lifestyle interventions to manage prediabetes; and (d) patient and provider satisfaction with the intervention strategy. We also conduct a state-of-the-art cost and a cost-effectiveness analysis of the interventions relative to usual care. The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, supplemented by the Consolidated Framework for Implementation Research (CFIR), is used to assess implementation processes and outcomes in a rural/urban health system.
The results of the project will provide a template for implementation of personalized CDS tools in rural and urban health settings, resulting in more efficient and effective rural healthcare that can be broadly applied across many clinical domains, incorporates patient treatment preferences, and has the potential to substantially improve the quality of CV care and clinical outcomes of millions of Americans with prediabetes residing in medically underserved areas.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Experimental: Clinical Decision Support (CV Wizard) In the Intervention arm, primary care providers will be provided with an EHR-linked, Web-based clinical decision support system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke, optimizing management and follow up of pre-diabetes patients with uncontrolled CV risk factors. |
Other: Clinical Decision Support
an EHR-linked, Web-based clinical decision support (CDS) system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke
Other Names:
|
No Intervention: Usual Care In the No Intervention arm, patients receive usual care from their primary care clinic and care providers. |
Outcome Measures
Primary Outcome Measures
- Predicted Annual Rate of Change in 10 Year Risk of Fatal or Nonfatal Heart Attack or Stroke [Index visit to 12 months post index visit]
10-year cardiovascular risk was calculated at the index and all post-index patient encounters. A comparison of the difference in model-estimated annual rate of change in cardiovascular risk in Clinical Decision Support versus Usual Care clinics tested the primary efficacy hypothesis. The American College of Cardiology/American Heart Association (ACC/AHA) pooled CV risk calculator provides sex- and race-specific 10-year risk estimates for the first ASCVD event for black & white men & women aged 40-79 years. Variables included in risk assessment equations: age, total cholesterol, high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP) diabetes mellitus (diabetes), and current smoking status. 10-year risk for ASCVD categorized as: Low (<5%), Borderline (5% to 7.4%), Intermediate (7.5% to 19.9%), High (≥20%). Numerator: Rate of change in Clinical Decision Support. Denominator: Rate of change in Usual Care. Relative Risk < 1 supports primary hypothesis.
Eligibility Criteria
Criteria
Inclusion Criteria:
-
Pre-Diabetes Diagnosis or Clinical Lab Values and
-
One or more of the following CV risk factors: Current smoking, Hypertension, elevated LDL, or BMI not within normal range, AND
-
at least one subsequent primary care visit to a randomized clinic 12 to 24 months after the index visit.
Exclusion Criteria:
-
Evidence of Diabetes in the previous 12 months
-
Pregnant
-
Hospice care or Chemotherapy
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Essentia Health | Duluth | Minnesota | United States | 55805 |
Sponsors and Collaborators
- HealthPartners Institute
- Essentia Health
Investigators
- Principal Investigator: Daniel Saman, PhD, Essentia Institute of Rural Health
Study Documents (Full-Text)
More Information
Publications
- HL128614-01
Study Results
Participant Flow
Recruitment Details | |
---|---|
Pre-assignment Detail |
Arm/Group Title | Clinical Decision Support (CV Wizard) | Usual Care |
---|---|---|
Arm/Group Description | In the Intervention arm, primary care providers will be provided with an Electronic Health Record-linked, Web-based clinical decision support system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke, optimizing management and follow up of pre-diabetes patients with uncontrolled cardiovascular risk factors. Clinical Decision Support: an Electronic Health Record(EHR)-linked, Web-based clinical decision support(CDS) system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke | In the No Intervention arm, patients receive usual care from their primary care clinic and care providers. |
Period Title: Overall Study | ||
STARTED | 12702 | 8962 |
COMPLETED | 10775 | 7454 |
NOT COMPLETED | 1927 | 1508 |
Baseline Characteristics
Arm/Group Title | Clinical Decision Support (Cardiovascular Wizard) | Usual Care | Total |
---|---|---|---|
Arm/Group Description | In the Intervention arm, primary care providers will be provided with an Electronic Health Record-linked, Web-based clinical decision support system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based Clinical Decision Support and follow up to reduce risk of heart attacks or stroke, optimizing management and follow up of pre-diabetes patients with uncontrolled cardiovascular risk factors. Clinical Decision Support: an Electronic Health Record-linked, Web-based clinical decision support (CDS) system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke | In the No Intervention arm, patients receive usual care from their primary care clinic and care providers. | Total of all reporting groups |
Overall Participants | 10775 | 7454 | 18229 |
Age (Count of Participants) | |||
<=18 years |
0
0%
|
0
0%
|
0
0%
|
Between 18 and 65 years |
6331
58.8%
|
4713
63.2%
|
11044
60.6%
|
>=65 years |
4444
41.2%
|
2741
36.8%
|
7185
39.4%
|
Age (years) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [years] |
61.2
(8.8)
|
60.5
(8.8)
|
60.9
(8.8)
|
Sex: Female, Male (Count of Participants) | |||
Female |
5428
50.4%
|
3808
51.1%
|
9236
50.7%
|
Male |
5347
49.6%
|
3646
48.9%
|
8993
49.3%
|
Ethnicity (NIH/OMB) (Count of Participants) | |||
Hispanic or Latino |
49
0.5%
|
30
0.4%
|
79
0.4%
|
Not Hispanic or Latino |
10726
99.5%
|
7424
99.6%
|
18150
99.6%
|
Unknown or Not Reported |
0
0%
|
0
0%
|
0
0%
|
Race (NIH/OMB) (Count of Participants) | |||
American Indian or Alaska Native |
172
1.6%
|
52
0.7%
|
224
1.2%
|
Asian |
40
0.4%
|
36
0.5%
|
76
0.4%
|
Native Hawaiian or Other Pacific Islander |
7
0.1%
|
2
0%
|
9
0%
|
Black or African American |
77
0.7%
|
38
0.5%
|
115
0.6%
|
White |
10399
96.5%
|
7299
97.9%
|
17698
97.1%
|
More than one race |
2
0%
|
3
0%
|
5
0%
|
Unknown or Not Reported |
78
0.7%
|
24
0.3%
|
102
0.6%
|
Region of Enrollment (participants) [Number] | |||
United States |
10775
100%
|
7454
100%
|
18229
100%
|
Cardiovascular Risk (units on a scale) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [units on a scale] |
11.2
(8.3)
|
11.1
(8.4)
|
11.2
(8.4)
|
Outcome Measures
Title | Predicted Annual Rate of Change in 10 Year Risk of Fatal or Nonfatal Heart Attack or Stroke |
---|---|
Description | 10-year cardiovascular risk was calculated at the index and all post-index patient encounters. A comparison of the difference in model-estimated annual rate of change in cardiovascular risk in Clinical Decision Support versus Usual Care clinics tested the primary efficacy hypothesis. The American College of Cardiology/American Heart Association (ACC/AHA) pooled CV risk calculator provides sex- and race-specific 10-year risk estimates for the first ASCVD event for black & white men & women aged 40-79 years. Variables included in risk assessment equations: age, total cholesterol, high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP) diabetes mellitus (diabetes), and current smoking status. 10-year risk for ASCVD categorized as: Low (<5%), Borderline (5% to 7.4%), Intermediate (7.5% to 19.9%), High (≥20%). Numerator: Rate of change in Clinical Decision Support. Denominator: Rate of change in Usual Care. Relative Risk < 1 supports primary hypothesis. |
Time Frame | Index visit to 12 months post index visit |
Outcome Measure Data
Analysis Population Description |
---|
The patients whose data were included in the primary outcome analysis were those who met eligibility criteria in the eligibility table. |
Arm/Group Title | Clinical Decision Support (CV Wizard) | Usual Care |
---|---|---|
Arm/Group Description | In the Intervention arm, primary care providers will be provided with an Electronic Health Record-linked, Web-based clinical decision support system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based Clinical Decision Support and follow up to reduce risk of heart attacks or stroke, optimizing management and follow up of pre-diabetes patients with uncontrolled cardiovascular risk factors. Clinical Decision Support: an EHR-linked, Web-based clinical decision support (CDS) system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke | In the No Intervention arm, patients receive usual care from their primary care clinic and care providers. |
Measure Participants | 10775 | 7454 |
Number (95% Confidence Interval) [units on a scale] |
1.100
|
1.096
|
Statistical Analysis 1
Statistical Analysis Overview | Comparison Group Selection | Clinical Decision Support (CV Wizard), Usual Care |
---|---|---|
Comments | ||
Type of Statistical Test | Superiority | |
Comments | ||
Statistical Test of Hypothesis | p-Value | <0.05 |
Comments | ||
Method | Mixed Models Analysis | |
Comments | ||
Method of Estimation | Estimation Parameter | Risk Ratio (RR) |
Estimated Value | 1.003 | |
Confidence Interval |
(2-Sided) 95% 0.998 to 1.008 |
|
Parameter Dispersion |
Type: Value: |
|
Estimation Comments |
Adverse Events
Time Frame | Up to 30 months | |||
---|---|---|---|---|
Adverse Event Reporting Description | ||||
Arm/Group Title | Clinical Decision Support (Cardiovascular Wizard) | Usual Care | ||
Arm/Group Description | In the Intervention arm, primary care providers will be provided with an EHR-linked, Web-based clinical decision support system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke, optimizing management and follow up of pre-diabetes patients with uncontrolled cardiovascular risk factors. Clinical Decision Support: an EHR-linked, Web-based clinical decision support (CDS) system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke | In the No Intervention arm, patients receive usual care from their primary care clinic and care providers. | ||
All Cause Mortality |
||||
Clinical Decision Support (Cardiovascular Wizard) | Usual Care | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | 207/10775 (1.9%) | 159/7454 (2.1%) | ||
Serious Adverse Events |
||||
Clinical Decision Support (Cardiovascular Wizard) | Usual Care | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | 1836/10775 (17%) | 1360/7454 (18.2%) | ||
General disorders | ||||
Hospitalizations | 1836/10775 (17%) | 1360/7454 (18.2%) | ||
Other (Not Including Serious) Adverse Events |
||||
Clinical Decision Support (Cardiovascular Wizard) | Usual Care | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | 339/10775 (3.1%) | 255/7454 (3.4%) | ||
Metabolism and nutrition disorders | ||||
Serum Potassium <= 3.0 mg/dl | 138/10775 (1.3%) | 97/7454 (1.3%) | ||
Serum Potassium >= 6.5 mg/dl † | 3/10775 (0%) | 3/7454 (0%) | ||
Musculoskeletal and connective tissue disorders | ||||
Vascular disorders | ||||
SBP < 90 mm Hg † | 154/10775 (1.4%) | 121/7454 (1.6%) | ||
SBP >= 200 mm Hg † | 40/10775 (0.4%) | 36/7454 (0.5%) |
Limitations/Caveats
More Information
Certain Agreements
All Principal Investigators ARE employed by the organization sponsoring the study.
There is NOT an agreement between Principal Investigators and the Sponsor (or its agents) that restricts the PI's rights to discuss or publish trial results after the trial is completed.
Results Point of Contact
Name/Title | Patrick J O'Connor |
---|---|
Organization | HealthPartners Institute |
Phone | 952-967-5034 |
Patrick.J.OConnor@HealthPartners.Com |
- HL128614-01