Hypertension Clinical Trial
Official title:
Cardiovascular Intervention Improvement Telemedicine Study
Verified date | July 2023 |
Source | VA Office of Research and Development |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Cardiovascular disease (CVD) is the leading cause of death in the United States; more than 80% of veterans have > 2 risk factors for CVD. Our study is one of the first to examine the implementation of a tailored behavioral/educational self-management intervention in primary care clinics designed to improve CVD risk. The proposed study could result in a leap forward in CVD risk management among veterans for several reasons: 1) ) This is a novel extension of our previous interventions that have demonstrated improved BP, now designed to address multiple chronic conditions contributing to CVD risk, particularly hyperlipidemia and diabetes. The study focuses on both multiple CVD-related risk factor management and medication management 2) The intervention is multi-behavioral; it addresses patients' various health behavior (e.g., smoking, diet, and medication adherence). 3) Components of the intervention will include specific recommendations and transportability of intervention application software and tracking packages that will allow clinic managers to implement the intervention if it is effective.
Status | Completed |
Enrollment | 428 |
Est. completion date | May 22, 2015 |
Est. primary completion date | April 30, 2015 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion Criteria: - Enrolled in one of three Durham Veterans Affairs Medical Center (DVAMC) Primary Care Clinics affiliated with the hospital or the Raleigh Community-Based Outpatient Clinic (CBOC) for at least one year; - At least one visit to a primary care physician (PCP) at the Raleigh CBOC or Durham Veterans Affairs Medical Center (VAMC) associated primary care clinics in the previous 12 months; - Outpatient diagnostic code for hypertension and/or hypercholesterolemia and lab values indicating either poorly controlled BP levels (>150/90 Hg) AND/OR LDL (>130mg/dl) in the previous year. Exclusion Criteria: - diagnosed with metastatic cancer, - diagnosed with dementia, - active diagnosis of psychosis, - treated with dialysis, - most recent creatinine lab level >2.5 or no creatinine lab value within past year - hospitalized for a stroke, heart attack, or had surgery for blocked arteries in the past 3 months, - participating in another interventional trial, - not currently receiving care at the Durham VAMC or the Raleigh CBOC - resident of a nursing home, - hard time seeing type/printing on books, magazines articles, etc. - hard time hearing on the telephone - limited/no access to telephone - plans to move medical care from DVAMC or Raleigh CBOC in next 12 months - CVD care is currently being managed by a clinical pharmacist - HbA1C value in the last 90day > 10% and patient is currently not on an insulin regimen. |
Country | Name | City | State |
---|---|---|---|
United States | Durham VA Medical Center, Durham, NC | Durham | North Carolina |
Lead Sponsor | Collaborator |
---|---|
VA Office of Research and Development |
United States,
Bosworth HB, Olsen MK, McCant F, Stechuchak KM, Danus S, Crowley MJ, Goldstein KM, Zullig LL, Oddone EZ. Telemedicine cardiovascular risk reduction in veterans: The CITIES trial. Am Heart J. 2018 May;199:122-129. doi: 10.1016/j.ahj.2018.02.002. Epub 2018 — View Citation
Goldstein KM, Oddone EZ, Bastian LA, Olsen MK, Batch BC, Washington DL. Characteristics and Health Care Preferences Associated with Cardiovascular Disease Risk among Women Veterans. Womens Health Issues. 2017 Nov-Dec;27(6):700-706. doi: 10.1016/j.whi.2017 — View Citation
Goldstein KM, Stechuchak KM, Zullig LL, Oddone EZ, Olsen MK, McCant FA, Bastian LA, Batch BC, Bosworth HB. Impact of Gender on Satisfaction and Confidence in Cholesterol Control Among Veterans at Risk for Cardiovascular Disease. J Womens Health (Larchmt). — View Citation
Melnyk SD, Zullig LL, McCant F, Danus S, Oddone E, Bastian L, Olsen M, Stechuchak KM, Edelman D, Rakley S, Morey M, Bosworth HB. Telemedicine cardiovascular risk reduction in veterans. Am Heart J. 2013 Apr;165(4):501-8. doi: 10.1016/j.ahj.2012.08.005. Epu — View Citation
Zullig LL, Melnyk SD, Stechuchak KM, McCant F, Danus S, Oddone E, Bastian L, Olsen M, Edelman D, Rakley S, Morey M, Bosworth HB. The Cardiovascular Intervention Improvement Telemedicine Study (CITIES): rationale for a tailored behavioral and educational p — View Citation
Zullig LL, Stechuchak KM, Goldstein KM, Olsen MK, McCant FM, Danus S, Crowley MJ, Oddone EZ, Bosworth HB. Patient-reported medication adherence barriers among patients with cardiovascular risk factors. J Manag Care Spec Pharm. 2015 Jun;21(6):479-85. doi: — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Framingham Risk Percent (Estimate of 10 Year Risk of Cardiovascular Disease in Percent) | Components of the Framingham include gender, age fixed at baseline, systolic blood pressure (presence/absence of blood pressure medications at each time point [combination of administrative med data pull and self-report at assessment]), total cholesterol, HDL cholesterol, smoking status (assessed via self-report at each study survey), and diabetes (diabetes is a combination of self-report and VA Computerized Patient Record System (CPRS) data review). "New cases" of diabetes are allowed to be updated at 6 and 12 months f/u. | Baseline | |
Primary | Framingham Risk Percent (Estimate of 10 Year Risk of Cardiovascular Disease in Percent) | Components of the Framingham include gender, age fixed at baseline, systolic blood pressure (presence/absence of blood pressure medications at each time point [combination of administrative med data pull and self-report at assessment]), total cholesterol, HDL cholesterol, smoking status (assessed via self-report at each study survey), and diabetes (diabetes is a combination of self-report and CPRS data review). "New cases" of diabetes are allowed to be updated at 6 and 12 months f/u. | 6 months | |
Primary | Framingham Risk Percent (Estimate of 10 Year Risk of Cardiovascular Disease in Percent) | Components of the Framingham include gender, age fixed at baseline, systolic blood pressure (presence/absence of blood pressure medications at each time point [combination of administrative med data pull and self-report at assessment]), total cholesterol, HDL cholesterol, smoking status (assessed via self-report at each study survey), and diabetes (diabetes is a combination of self-report and CPRS data review). "New cases" of diabetes are allowed to be updated at 6 and 12 months f/u. | 12 months | |
Secondary | Mean Systolic Blood Pressure | Mean BP is calculated as the average of 3 bp measurements. Collected during BP outcome measurement conducted at interviews | Baseline | |
Secondary | Mean Systolic Blood Pressure | Mean BP is calculated as the average of 3 bp measurements. Collected during BP outcome measurement conducted at interviews | 6 months | |
Secondary | Mean Systolic Blood Pressure | Mean BP is calculated as the average of 3 bp measurements. Collected during BP outcome measurement conducted at interviews | 12 months | |
Secondary | Mean Diastolic Blood Pressure | Mean BP is calculated as the average of 3 bp measurements. Collected during BP outcome measurement conducted at interviews | Baseline | |
Secondary | Mean Diastolic Blood Pressure | Mean BP is calculated as the average of 3 bp measurements. Collected during BP outcome measurement conducted at interviews | 6 months | |
Secondary | Mean Diastolic Blood Pressure | Mean BP is calculated as the average of 3 bp measurements. Collected during BP outcome measurement conducted at interviews | 12 months | |
Secondary | Medication Non-adherence | First 4 items of the 5 item Morisky Self-reported measure of medication adherence was used to determine medication non-adherence. | Baseline | |
Secondary | Medication Non-adherence | First 4 items of the 5 item Morisky Self-reported measure of medication adherence was used to determine medication non-adherence. | 6 months | |
Secondary | Medication Non-adherence | First 4 items of the 5 item Morisky Self-reported measure of medication adherence was used to determine medication non-adherence. | 12 months | |
Secondary | Cholesterol LDL | Collected during interview visit by lab personnel | Baseline | |
Secondary | Cholesterol LDL | Collected during interview visit by lab personnel | 6 months | |
Secondary | Cholesterol LDL | Collected during interview visit by lab personnel | 12 months | |
Secondary | Body Mass Index | Calculated from vitals (height & weight) obtained during interview | Baseline | |
Secondary | Body Mass Index | Calculated from vitals (height & weight) obtained during interview | 6 months | |
Secondary | Body Mass Index | Calculated from vitals (height & weight) obtained during interview | 12 months | |
Secondary | HBA1C in Diabetic Patients | Lab values collected at interview visit by lab personnel | Baseline | |
Secondary | HBA1C in Diabetic Patients | Lab values collected at interview visit by lab personnel | 6 months | |
Secondary | HBA1C in Diabetic Patients | Lab values collected at interview visit by lab personnel | 12 months |
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