An interventional study of DM Pgm + device and Control in Diabetes, Hypertension and Cardiac Arrhythmia, sponsored by Scripps Translational Science Institute. Completed at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2023-04-21.
Sponsored by Scripps Translational Science Institute · Not applicable, Interventional, and Health services research
People with chronic diseases such as diabetes, hypertension (high blood pressure) and cardiac (heart) arrhythmias tend to go to the doctor more often and have more tests done than those without those diseases. This can lead to increasing costs of healthcare and extra visits to doctors and healthcare facilities.
There are now medical devices that can be used at home to monitor blood sugar, blood pressure, heart rhythms as well as other measurements. There have been some studies which show that when people take their own health readings, they are better able to control their disease, stay healthier and go to the doctor less often. In order to participate in the study participants will have been diagnosed with 1 or more of the following: Diabetes, Hypertension, Cardiac Arrhythmias.
This study is designed to test those devices and see if they can help participants stay healthier through the recording and tracking of health measurements. Investigators will also be testing how easy it is to use these devices and whether or how easy it is to fit them in their daily schedule. Participants will be given an iPhone for use during the study and their recordings will be stored and displayed on the phone.
The study will evaluate the impact of a "Wireless Monitoring" intervention for chronically ill individuals with diabetes, hypertension, and arrhythmias. This project utilizes the concept of 'hot-spotting' in that investigators will aim to target individuals with the highest health care needs, which investigators have defined to be patients with these diagnoses who showed the highest health care utilization rates over the previous 12-month period based on reimbursement data from a large health care third party administrator. Investigators aim to determine if wireless monitoring can reduce health care service utilization and thus health care costs for the small number of patients who spend the greatest number of health care dollars, thereby cutting the overall amount of health care spending dramatically.
Furthermore, investigators will be assessing whether or not access to health measurement data and the possibility of receiving feedback from a study staff member will increase the compliance of patients to their medication regimen, recommended diet and exercise. It is anticipated that armed with their own health data, these patients will be less likely to need acute care visits
Study participants will be employees of Scripps Health or dependents of employees covered with Scripps insurance, administered by third-party administrator, Health Comp. In addition, patients will be currently enrolled or willing to enroll in Health Comp's Disease Management program. Investigators predict that in addition to participation in the program, wireless monitoring will be associated with decreased inpatient health service utilization (hospital admissions, days of hospitalization) and decreased outpatient health service utilization (emergency department visits, need-based primary care clinic visits, and need-based specialty clinic visits). Investigators predict that these decreases will translate into significant reductions in health care costs for the treatment group relative to a control group and relative to pre-monitoring utilization rates.
885 studies on the registry are indexed under Arrhythmias, Cardiac; 235 are open to participants now.
This study's enrollment of 182 is above the median of 99 across 429 interventional studies indexed under Arrhythmias, Cardiac.
Browse Arrhythmias, Cardiac studies →Scripps Translational Science Institute is the lead sponsor of 52 studies on the registry; 13 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Exclusion Criteria:
All study participants, including participants randomized to the control arm, were enrolled in the HealthComp disease management program, which involved outreach by HealthComp nursing staff for purposes of relaying medical education and wellness information with regard to disease prevention and chronic disease management.
Behavioral: Control
Disease management (DM) program plus a device corresponding to an individual's disease(s): iBGStar - iPhone enabled capillary blood glucose meter. Subjects test blood glucose up to 4 times per day, every day. Withings BP monitor - iPhone enabled home blood pressure monitor. Subjects test their blood pressure 2 times per day, up to 3 days per week. iPhone enabled Alive Cor ECG monitor. Participants take an ECG reading only when symptomatic.
Device: DM Pgm + device
Disease management program plus a device corresponding to an individual's disease(s): iBGStar - iPhone enabled capillary blood glucose meter. Subjects test blood glucose up to 4 times per day, every day. Withings BP monitor - iPhone enabled home blood pressure monitor. Subjects test their blood pressure 2 times per day, up to 3 days per week. iPhone enabled Alive Cor ECG monitor. Participants take an ECG reading only when symptomatic.
All study participants, including participants randomized to the control arm, were enrolled in the HealthComp disease management program, which involved outreach by HealthComp nursing staff for purposes of relaying medical education and wellness information with regard to disease prevention and chronic disease management.
Participant Perceptions of Utility of Monitoring
Multidimensional Health Locus of Control (Form C). Measure of the source of reinforcements for health-related behaviors: primarily internal, a matter of chance, or under the control of doctors, or other people. The scale includes 18 questions where responders indicate they strongly disagree(1), moderately disagree(2) slightly disagree(3) slightly agree(4) moderately agree(5) or strongly agree(6). Questions can be found here: https://nursing.vanderbilt.edu/projects/wallstonk/form_c.php. Subscale measures are summed over responses: questions 1, 6, 8, 12, 13, \& 17 measure feeling of internal control (range 6-36); questions 2, 4, 9, 11, 15, 16 measure feeling of chance (range 6-36); questions 3, 5, 14 measure control of doctors (range 3-18); \& questions 7, 10, \& 18 measure control of others (range 3-18). Higher scores represent greater agreement with the questions that generally indicate greater feelings of more chance in one's health. Results presented using the 'Chance' subscale below.
Time frame: Measure at Day 180.
Total Health Care Utilization and Costs.
Total health care utilization and costs in USD.
Time frame: Total billed over 180 days.
| Milestone | Control | DM Pgm + Device |
|---|---|---|
| Started | 85 | 97 |
| Completed | 65 | 83 |
| Not completed | 20 | 14 |
| Withdrew: Lost to follow-up | 17 | 4 |
| Withdrew: Withdrawal by subject | 3 | 10 |
Multidimensional Health Locus of Control (Form C). Measure of the source of reinforcements for health-related behaviors: primarily internal, a matter of chance, or under the control of doctors, or other people. The scale includes 18 questions where responders indicate they strongly disagree(1), moderately disagree(2) slightly disagree(3) slightly agree(4) moderately agree(5) or strongly agree(6). Questions can be found here: https://nursing.vanderbilt.edu/projects/wallstonk/form_c.php. Subscale measures are summed over responses: questions 1, 6, 8, 12, 13, \& 17 measure feeling of internal control (range 6-36); questions 2, 4, 9, 11, 15, 16 measure feeling of chance (range 6-36); questions 3, 5, 14 measure control of doctors (range 3-18); \& questions 7, 10, \& 18 measure control of others (range 3-18). Higher scores represent greater agreement with the questions that generally indicate greater feelings of more chance in one's health. Results presented using the 'Chance' subscale below.
| Score on a scale | Control | DM Pgm + Device |
|---|---|---|
| Participant Perceptions of Utility of Monitoring | 13.4 ± 5.8 | 11.3 ± 5.3 |
Total health care utilization and costs in USD.
| Units on a scale | Control | DM Pgm + Device |
|---|---|---|
| Total Health Care Utilization and Costs. | 5596 ± 22187 | 6026 ± 21426 |
Non-serious events are listed at a 0% frequency threshold.
| Group | Deaths | Serious | Other |
|---|---|---|---|
| Control | — | 0/85 (0%) | 0/85 (0%) |
| DM Pgm + Device | — | 0/97 (0%) | 0/97 (0%) |
| Age, Categorical(Participants) | Control | DM Pgm + Device | Total |
|---|---|---|---|
| <=18 years | 0 | 0 | 0 |
| Between 18 and 65 years | 75 | 80 | 155 |
| >=65 years | 10 | 17 | 27 |
| Age, Continuous(years) | Control | DM Pgm + Device | Total |
|---|---|---|---|
| Mean | 54.5 ± 9.8 | 56.0 ± 9.0 | 55.0 ± 9.4 |
| Sex: Female, Male(Participants) | Control | DM Pgm + Device | Total |
|---|---|---|---|
| Female | 49 | 63 | 112 |
| Male | 36 | 34 | 70 |
| Ethnicity (NIH/OMB)(Participants) | Control | DM Pgm + Device | Total |
|---|---|---|---|
| Hispanic or Latino | 4 | 10 | 14 |
| Not Hispanic or Latino | 76 | 86 | 162 |
| Unknown or Not Reported | 5 | 1 | 6 |
| Race (NIH/OMB)(Participants) | Control | DM Pgm + Device | Total |
|---|---|---|---|
| American Indian or Alaska Native | 1 | 1 | 2 |
| Asian | 9 | 6 | 15 |
| Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 |
| Black or African American | 4 | 6 | 10 |
| White | 62 | 73 | 135 |
| More than one race | 4 | 10 | 14 |
| Unknown or Not Reported | 5 | 1 | 6 |
| Region of Enrollment(participants) | Control | DM Pgm + Device | Total |
|---|---|---|---|
| United States | 85 | 97 | 182 |
This study is completed, as verified in Apr 2023. You cannot join it, but the record below documents what was studied.
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