Telemedicine
Conditions
Keywords
Complex Care, Outcomes, Telemedicine, Rural Health, Diabetes
Brief summary
Diabetes generates significant morbidity, mortality, and costs within the Veterans Health Administration (VHA). Veterans with persistently poor diabetes control despite clinic-based care are among the highest-risk diabetes patients in VHA, and contribute disproportionately to VHA's massive burden of diabetes complications and costs. VHA critically needs effective, practical management alternatives for Veterans whose diabetes does not respond to clinic-based management. The proposed study will address this need by leveraging VHA's unique Home Telehealth capacity to deliver comprehensive telemedicine-based management for Veterans with persistently poor diabetes control despite clinic-based care. Because this intensive intervention is delivered using only existing Home Telehealth workforce, infrastructure, and technical resources - which are ubiquitous at VHA centers nationwide - it could represent an effective, practical approach to improving outcomes in Veterans with PPDM, potentially translating to a substantial reduction in VHA's diabetes burden.
Detailed description
This study will evaluate a comprehensive telemedicine intervention for Veterans with persistently poor diabetes control despite clinic-based Veterans Health Administration (VHA) care. Because this approach is designed for delivery via existing Home Telehealth (HT) services, which are ubiquitous throughout VHA, it may represent an effective, practical alternative for Veterans whose diabetes is refractory to clinic-based care. Although efforts by clinicians and researchers have improved diabetes control across VHA, Veterans with persistent poorly-controlled diabetes mellitus (PPDM) have not benefitted from these advances. The investigators define PPDM as maintenance of a hemoglobin A1c (HbA1c) 8.5% for \>1 year, despite receiving clinic-based diabetes care during this period. Veterans meeting this definition - approximately 12% of all Veterans with type 2 diabetes - contribute disproportionately to VHA's burden of diabetes complications and costs. While clinic-based care is insufficiently effective in PPDM, telemedicine-based management that comprehensively addresses factors underlying poor diabetes control could improve outcomes for these high-risk Veterans. Unfortunately, healthcare systems have rarely integrated comprehensive telemedicine-based care into real-world practice, even for clinic-refractory conditions like PPDM. This gap stems from the fact that comprehensive telemedicine-based diabetes care has not previously been designed for practical delivery under real-world conditions. In order for telemedicine to fulfill its potential as a means to reduce the burden of PPDM, interventions must be developed with an emphasis on feasible delivery through existing workforce, infrastructure, and technical resources, such that effective implementation is eventually achievable. Until then, Veterans with PPDM will be left without alternatives when clinic-based care proves inadequate. The proposed trial will evaluate Practical Telemedicine to Improve Control and Engagement for Veterans with Clinic-Refractory Diabetes Mellitus (PRACTICE-DM), a novel, comprehensive telemedicine intervention for PPDM that is designed for practical delivery within VHA. The Specific Aims of this study are to: 1) determine PRACTICE-DM's effectiveness; 2) evaluate PRACTICE-DM's acceptability and mechanisms of effect using a mixed method process evaluation; and 3) understand costs associated with PRACTICE-DM. Two hundred Veterans with PPDM from two sites (Durham, North Carolina (NC) and Richmond, Virginia (VA)) will be randomized to receive one of two HT-delivered interventions: 1) PRACTICE-DM, a comprehensive intervention combining telemonitoring, self-management support, diet/activity support, medication management, and depression support; or 2) an active control, standard HT care coordination and telemonitoring. Both interventions will be delivered over a 12-month period and all participants will continue to receive usual VHA care. The primary study outcome will be change in HbA1c from study baseline to 12 months. The secondary outcomes are guided by a theoretical framework, and will include diabetes self-care, diabetes burden, self-efficacy, and depressive symptoms. Qualitative interviews will be conducted with 20 intervention-group Veterans, the HT nurses delivering the intervention, and administrators at each site. Intervention costs will be comprehensively assessed and compared to standard HT care coordination and telemonitoring. Although VHA is a leader in telemedicine, its telemedicine capabilities are currently underutilized for Veterans with PPDM. These Veterans are refractory to clinic-based care, so contribute disproportionately to diabetes complications and costs. This study will leverage VHA's unique telemedicine infrastructure to deliver comprehensive management designed for PPDM, with the goal of improving outcomes in this high-risk, high cost population. Because the proposed intervention is designed for delivery using existing HT services, it may represent an effective, practical approach to reducing the burden of poor diabetes control across VHA.
Interventions
Five-component diabetes intervention: 1) telemonitoring; 2) self-management support; 3) diet/activity support; 4) medication management; and 5) depression support.
Standard VA HT care coordination and telemonitoring.
Sponsors
Study design
Masking description
Because participants will receive information on both study arms during the consent process, we will not attempt to blind participants to randomization assignment. However, in order to assure blinding of the staff that manage outcome data collection, randomization (including participant notification of group assignment by phone) will be managed by the project coordinator.
Intervention model description
VA Home Telehealth (HT) nurses will deliver the 5 intervention components during telephone encounters. The standard encounter frequency will be every two weeks, but may be extended to every 4 weeks for participants achieving their HbA1c goal. Should Veterans relapse while receiving the lower encounter frequency, HT will return to every-two-week encounters until the next HbA1c assessment. The 5 intervention components are: Telemonitoring, Self-management support, Diet/activity support, Medication management, & Depression support
Eligibility
Inclusion criteria
* Veterans with persistently poorly-controlled type 2 diabetes mellitus defined as the presence of 2 HbA1c values 8.5% during the prior year (none \<8.5%) despite 1 or more appointments with a VHA Primary Care Provider (PCP) or Endocrinology during this period.
Exclusion criteria
* age \>70 * life expectancy \<5 years, or other comorbidities that would offset the benefits of HbA1c \<8.5% * inability to communicate by telephone * dementia or psychosis * active alcohol/substance disorder * pregnancy * prior hypoglycemic seizure/coma * refusal to perform self-monitored blood glucose (SMBG) * use of insulin infusion pumps * hospitalized for stroke, heart attack or had surgery for blocked arteries in the past 12m * receiving kidney dialysis * metastatic cancer diagnosis * use of a continuous blood glucose monitor (due to HT equipment constraints) * primary provider requests patient not participate
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Hemoglobin A1c | 12 months | Laboratory blood test to measure diabetes control |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Diabetes Distress Scale | 12 months | Measure of diabetes distress and burden using the Diabetes Distress Scale (DDS). 17 items, Scale 1-6. Scoring: Average. Higher score indicates higher distress level. |
| Diabetes Self-Management Questionnaire | 12 months | Measure of diabetes self-care. Diabetes Self-Management Questionnaire (DSMQ). 16 items, Scale 0-3. Scoring: Sum and transform to fall between 0-10. Higher score indicates more effective self-care. |
| Perceived Competence Scale | 12 months | Measure of diabetes self-efficacy and capacity. Perceived Competence Scale (PCS). 4 items, Scale 1-7. Scoring: average (1-7) Higher score indicates greater confidence. |
| Body Mass Index | 6 months | Measure of weight at 6months due to low number of 12month in person visits permitting data collection as a result of coronavirus disease 2019 (COVID-19) restrictions |
| Patient Health Questionnaire-8 | 12 months | Measure of depressive symptoms, Patient Health Questionnaire depression scale (PHQ8). 8 items, Scale 0-3, Scoring average of responses 0-24. Higher score indicates greater depressive symptoms. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| PRACTICE-DM PRACTICE-DM is a comprehensive telemedicine intervention that bundles telemonitoring, self-management support, diet/activity support, medication management, and depression support - each of which targets a critical factor underlying PPDM - into a single, comprehensive program specifically developed for practical delivery using existing VHA Home Telehealth (HT) workforce, infrastructure, and technical resources.
PRACTICE-DM: Five-component diabetes intervention: 1) telemonitoring; 2) self-management support; 3) diet/activity support; 4) medication management; and 5) depression support. | 101 |
| Standard VA Home Telehealth Standard VA HT care coordination and telemonitoring.
Standard VA Home Telehealth: Standard VA HT care coordination and telemonitoring. | 99 |
| Total | 200 |
Withdrawals & dropouts
| Period | Reason | FG000 | FG001 |
|---|---|---|---|
| Overall Study | Completed a study interview but did not obtain HbA1c data | 19 | 19 |
| Overall Study | Death | 0 | 1 |
| Overall Study | Lost to Follow-up | 1 | 1 |
| Overall Study | Physician Decision | 3 | 3 |
| Overall Study | Withdrawal by Subject | 1 | 2 |
Baseline characteristics
| Characteristic | PRACTICE-DM | Standard VA Home Telehealth | Total |
|---|---|---|---|
| Age, Categorical <=18 years | 0 Participants | 0 Participants | 0 Participants |
| Age, Categorical >=65 years | 25 Participants | 24 Participants | 49 Participants |
| Age, Categorical Between 18 and 65 years | 76 Participants | 75 Participants | 151 Participants |
| Age, Continuous | 57.7 years STANDARD_DEVIATION 8.3 | 57.8 years STANDARD_DEVIATION 8 | 57.8 years STANDARD_DEVIATION 8.2 |
| Baseline Hemoglobin A1c | 10.1 % HbA1c STANDARD_DEVIATION 1.2 | 10.2 % HbA1c STANDARD_DEVIATION 1.4 | 10.2 % HbA1c STANDARD_DEVIATION 1.3 |
| Body Mass Index (kg/m^2) | 34.5 kg/m^2 STANDARD_DEVIATION 6.4 | 35.2 kg/m^2 STANDARD_DEVIATION 7 | 34.8 kg/m^2 STANDARD_DEVIATION 6.7 |
| Depression (PHQ-8) | 7.0 units on a scale STANDARD_DEVIATION 5.2 | 7.6 units on a scale STANDARD_DEVIATION 6.1 | 7.3 units on a scale STANDARD_DEVIATION 5.7 |
| Diabetes Distress Scale (DDS) | 1.9 units on a scale STANDARD_DEVIATION 0.7 | 1.9 units on a scale STANDARD_DEVIATION 0.9 | 1.9 units on a scale STANDARD_DEVIATION 0.8 |
| Diabetes Self-Management Questionnaire (DSMQ) | 6.9 units on a scale STANDARD_DEVIATION 1.5 | 6.5 units on a scale STANDARD_DEVIATION 1.7 | 6.7 units on a scale STANDARD_DEVIATION 1.6 |
| Ethnicity (NIH/OMB) Hispanic or Latino | 6 Participants | 5 Participants | 11 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 95 Participants | 93 Participants | 188 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants | 1 Participants | 1 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 2 Participants | 1 Participants | 3 Participants |
| Race (NIH/OMB) Asian | 1 Participants | 0 Participants | 1 Participants |
| Race (NIH/OMB) Black or African American | 68 Participants | 76 Participants | 144 Participants |
| Race (NIH/OMB) More than one race | 1 Participants | 0 Participants | 1 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 4 Participants | 5 Participants | 9 Participants |
| Race (NIH/OMB) White | 25 Participants | 17 Participants | 42 Participants |
| Region of Enrollment United States Durham, NC | 57 Participants | 58 Participants | 115 Participants |
| Region of Enrollment United States Richmond, VA | 44 Participants | 41 Participants | 85 Participants |
| Self-Efficacy (PCS) | 5.2 units on a scale STANDARD_DEVIATION 1.5 | 5.2 units on a scale STANDARD_DEVIATION 1.4 | 5.2 units on a scale STANDARD_DEVIATION 1.5 |
| Sex: Female, Male Female | 24 Participants | 21 Participants | 45 Participants |
| Sex: Female, Male Male | 77 Participants | 78 Participants | 155 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 101 | 1 / 99 |
| other Total, other adverse events | 0 / 101 | 0 / 99 |
| serious Total, serious adverse events | 15 / 101 | 14 / 99 |
Outcome results
Hemoglobin A1c
Laboratory blood test to measure diabetes control
Time frame: 12 months
Population: Mixed models were used to analyze outcomes. This methodology uses all observations from baseline and the follow-up timepoints. Therefore 200 observations were included at baseline and 150 observations at 12 months.
| Arm | Measure | Value (MEAN) |
|---|---|---|
| PRACTICE-DM | Hemoglobin A1c | 8.58 % HbA1c |
| Standard VA Home Telehealth | Hemoglobin A1c | 9.19 % HbA1c |
Body Mass Index
Measure of weight at 6months due to low number of 12month in person visits permitting data collection as a result of coronavirus disease 2019 (COVID-19) restrictions
Time frame: 6 months
| Arm | Measure | Value (MEAN) |
|---|---|---|
| PRACTICE-DM | Body Mass Index | 35.05 kg/m^2 |
| Standard VA Home Telehealth | Body Mass Index | 34.86 kg/m^2 |
Diabetes Distress Scale
Measure of diabetes distress and burden using the Diabetes Distress Scale (DDS). 17 items, Scale 1-6. Scoring: Average. Higher score indicates higher distress level.
Time frame: 12 months
| Arm | Measure | Value (MEAN) |
|---|---|---|
| PRACTICE-DM | Diabetes Distress Scale | 1.43 score on a scale |
| Standard VA Home Telehealth | Diabetes Distress Scale | 1.67 score on a scale |
Diabetes Self-Management Questionnaire
Measure of diabetes self-care. Diabetes Self-Management Questionnaire (DSMQ). 16 items, Scale 0-3. Scoring: Sum and transform to fall between 0-10. Higher score indicates more effective self-care.
Time frame: 12 months
| Arm | Measure | Value (MEAN) |
|---|---|---|
| PRACTICE-DM | Diabetes Self-Management Questionnaire | 8.34 score on a scale |
| Standard VA Home Telehealth | Diabetes Self-Management Questionnaire | 7.83 score on a scale |
Patient Health Questionnaire-8
Measure of depressive symptoms, Patient Health Questionnaire depression scale (PHQ8). 8 items, Scale 0-3, Scoring average of responses 0-24. Higher score indicates greater depressive symptoms.
Time frame: 12 months
| Arm | Measure | Value (MEAN) |
|---|---|---|
| PRACTICE-DM | Patient Health Questionnaire-8 | 4.64 score on a scale |
| Standard VA Home Telehealth | Patient Health Questionnaire-8 | 5.80 score on a scale |
Perceived Competence Scale
Measure of diabetes self-efficacy and capacity. Perceived Competence Scale (PCS). 4 items, Scale 1-7. Scoring: average (1-7) Higher score indicates greater confidence.
Time frame: 12 months
| Arm | Measure | Value (MEAN) |
|---|---|---|
| PRACTICE-DM | Perceived Competence Scale | 6.31 score on a scale |
| Standard VA Home Telehealth | Perceived Competence Scale | 5.92 score on a scale |