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| ID | Type | Description | Link |
|---|---|---|---|
| R15HL135700-01A1 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Heart, Lung, and Blood Institute (NHLBI) | NIH |
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The purpose of this study is to examine the effectiveness of a telephone motivational interviewing intervention by pharmacy students in enhancing adherence to angiotensin converting enzyme inhibitors (ACEI)/ angiotensin receptor blockers (ARB) (ACE/ARBs) among patients with diabetes and hypertension in a Medicare advantage plan.
Angiotensin converting enzyme inhibitors (ACEI)/ angiotensin receptor blockers (ARB) are highly recommended for patients with both diabetes (DM) and hypertension (HTN), and their efficacy in reducing macrovascular and microvascular complications of DM is well-documented. Poor adherence remains a significant barrier to achieving full effectiveness and optimal long-term outcomes. This study aims to develop innovative group-based trajectory models to identify patients with similar ACE/ARB medication filling behavior among patients with co-morbid HTN and DM. The proportion of days covered (PDC), often used as an adherence measure, reduces complex patterns of longitudinal observations into a single value that cannot adequately depict different adherence experiences. Group based trajectory models are designed to identify patients with similar longitudinal patterns while capturing the dynamic nature. A motivational interviewing (MI) pharmacy student telephone intervention will then be customized by the identified trajectories and tested to demonstrate effectiveness in enhancing adherence. In pilot work, the investigator's team has demonstrated improvements in adherence through a pharmacy student telephone MI intervention. Pharmacy students have the knowledge base and training to provide comparable services to pharmacists at a lower cost. MI fosters behavior change by setting desired goals and promoting self-efficacy in a supportive, collaborative way. The objectives are to 1. Develop group-based trajectory models to identify patients with similar medication filling behavior patterns among patients enrolled in a Medicare advantage plan and 2. Customize an MI pharmacy student telephone intervention by the adherence patterns identified, and demonstrate the benefit of the customized intervention in improving adherence. Phase 1 of the project will be a retrospective analysis of 12 month refill data to determine patient adherence patterns. Phase 2 will be a prospective study among non-adherent patients to evaluate the effectiveness of the customized intervention (n=500). The students will contact patients assigned to the intervention group and follow a protocol using the Ask-Provide-Ask approach of MI given the patient adherence pattern for a tailored education. Monthly follow-up calls will be carried out for 6 months. Adherence during the 6 and 12 months post-intervention will be evaluated for the intervention and control groups as PDC as well as a categorical variable. Chi-square and t-tests will be used to evaluate the intervention effect. Multivariable multiple and logistic regression will be carried out in case of any significant differences in baseline characteristics. Implementing this project will provide students a unique MI training as a new way of communicating with patients. The training is further strengthened by PhD students trained in research design and statistical analyses to assist in the automated data analysis. The project will formulate a strong adherence research team at University of Houston that will be instrumental in implementing customized innovative interventions to improve medication adherence and subsequent health outcomes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Motivational interviewing intervention arm | Experimental | The intervention will be a phone call by a pharmacy student that will use MI strategies to identify and address the adherence barrier(s) and 5 monthly follow up calls |
|
| Control | No Intervention | usual care |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Motivational interviewing intervention arm | Behavioral | The intervention will be a phone call by a pharmacy student that will use MI strategies to identify and address the adherence barrier(s) and 5 monthly follow up calls |
| Measure | Description | Time Frame |
|---|---|---|
| Adherence Measure | Proportion of days covered (PDC): measured by examining refill data, both as a continuous measure as well as a categorical measure with a PDC of 0.8 or more considered adherent. It ranges from 0-1. | 12 months following initial call |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Omar Serna | Houston | Texas | 70092 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36847995 | Derived | Mohan A, Majd Z, Johnson ML, Essien EJ, Barner J, Serna O, Gallardo E, Fleming ML, Ordonez N, Holstad MM, Abughosh SM. A Motivational Interviewing Intervention to Improve Adherence to ACEIs/ARBs among Nonadherent Older Adults with Comorbid Hypertension and Diabetes. Drugs Aging. 2023 Apr;40(4):377-390. doi: 10.1007/s40266-023-01008-6. Epub 2023 Feb 27. |
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| ID | Title | Description |
|---|---|---|
| FG000 | Motivational Interviewing Intervention Arm | The intervention will be a phone call by a pharmacy student that will use MI strategies to identify and address the adherence barrier(s) and 5 monthly follow up calls Motivational interviewing intervention arm: The intervention will be a phone call by a pharmacy student that will use MI strategies to identify and address the adherence barrier(s) and 5 monthly follow up calls |
| FG001 | Control | usual care |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | Motivational Interviewing Intervention Arm | The intervention will be a phone call by a pharmacy student that will use MI strategies to identify and address the adherence barrier(s) and 5 monthly follow up calls Motivational interviewing intervention arm: The intervention will be a phone call by a pharmacy student that will use MI strategies to identify and address the adherence barrier(s) and 5 monthly follow up calls |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Customized | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Adherence Measure | Proportion of days covered (PDC): measured by examining refill data, both as a continuous measure as well as a categorical measure with a PDC of 0.8 or more considered adherent. It ranges from 0-1. | Posted | Mean | Standard Error | Proportion of days covered | 12 months following initial call |
|
Up to 12 months from initial call
This study does not involve more than Minimal Risk for the safety of patients. The intervention involves only a phone call to educate the patient about adherence and participation is completely based on the patient's consent. They can withdraw or choose to stop the call at any point. Thus, it is not anticipated that the intervention can harm any patient in any way.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Motivational Interviewing Intervention Arm | The intervention will be a phone call by a pharmacy student that will use MI strategies to identify and address the adherence barrier(s) and 5 monthly follow up calls Motivational interviewing intervention arm: The intervention will be a phone call by a pharmacy student that will use MI strategies to identify and address the adherence barrier(s) and 5 monthly follow up calls |
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While the initial plan for the intervention was to have monthly follow-up calls, due to the COVID-19 pandemic, there were gaps in the intervention, which could have affected the results.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Susan Abughosh | University of Houston | 832-842-8395 | smabughosh@uh.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Mar 28, 2018 | Jan 31, 2023 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| D006973 | Hypertension |
| D055118 | Medication Adherence |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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| BG001 | Control | usual care |
| BG002 | Total | Total of all reporting groups |
| Participants |
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| Sex: Female, Male | Count of Participants | Participants |
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| Race and Ethnicity Not Collected | Race and Ethnicity were not collected from any participant. | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| health plan | Count of Participants | Participants |
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| prescriber specialty | Count of Participants | Participants |
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| refill type | Count of Participants | Participants |
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| Comorbidities | Count of Participants | Participants |
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| number of concomitant medications | Count of Participants | Participants |
|
| regimen complexity | Regimen complexity was defined as number of prescribed doses per day multiplied by number of medications as determined on index date. It is a continuous variable that could take any value. (observed range: 0.5-47) Existing literature has been inconsistent with the association between regimen complexity and adherence (negative and positive associations). Therefore, we decided to control for it in the model, however, we did not find any significant association (p=0.54). In other words, every unit increase in "regimen complexity" did not have an impact on the study outcome. | Mean | Standard Deviation | scores on a scale |
|
| prevalent users | Prevalent users were defined as patients who were prescribed ACEI/ARB medications during the 6-months baseline period. | Count of Participants | Participants |
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| prior hospitalizations | Count of Participants | Participants |
|
| CMS risk score | The CMS risk score accounts for disease severity and medication burden. It is comprised of 189 disease classifications used in risk adjustment of clinical outcomes in Medicare populations. This variable could take any value within a continuous range. (observed range: 0.25-6.00) The existing literature presents conflicting evidence on the relationship between adherence and risk score (positive or negative). However, we did not find any significant association (p=0.33). In other words, every unit increase in "CMS risk score" did not have an impact on the study outcome. | Mean | Standard Deviation | scores on a scale |
|
usual care |
|
|
| 0 |
| 240 |
| 0 |
| 240 |
| 0 |
| 240 |
| EG001 | Control | usual care | 0 | 480 | 0 | 480 | 0 | 480 |
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| D004700 | Endocrine System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D010349 | Patient Compliance |
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
| Missing |
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| No |
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| No |
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| No |
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| No |
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