- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02604901
Effect of Community Pharmacist Intervention on Adherence to Long-Term Medications (ECO-PHIL)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Patients diagnosed with chronic diseases often fail to follow their prescribed medication regimens, (16355071,19954264,16732693,23111664) which accounts for up to 290 billion dollars per year in unnecessary medical costs, largely because medication nonadherence increases their risk of disease progression, hospitalization, and premature death.(16355071, 23373139, 23032359) A number of studies have investigated ways to improve medication adherence; (18425859, 18537843) however, few studies on interventions have demonstrated large improvements in adherence and few have used scientifically rigorous study methods such as randomized controlled trials (RCTs).(24422970) A recent systematic review identified a need for adherence interventions and suggested the use of factorial designs in RCTs to study multiple interventions and combinations within large patient populations.(24422970)
This study used a factorial-designed, four-armed, RCT to examine the impact of three pharmacy-based interventions versus standard care on improving medication adherence and health outcomes in patients with diabetes and hyperlipidemia. The three interventions used in this study were a behavioral intervention, a pillbox weekly reminder, and the combination of the two.
Pillboxes (PB) used in this study had compartments for each day (7X1) and for participants taking multiple medications, sub-compartments for each medication per day (7X4).
The behavioral intervention, called Screening and Brief Intervention (SBI or BI), consisted of a short 2-5 minute conversation between the patient and the provider aimed to encourage modification in the patient's health behavior. While BI has primarily been used to address unhealthy alcohol use in patients (11), the researchers hypothesized that this patient-centered approach can be particularly useful for improving medication adherence in chronically ill patients. In this study, motivational interviewing counseling principles were used for motivating patients to take more active roles in self-managing their health. Motivational interviewing can take many forms, however, in this study, the BIs used a schema of motivational interviewing originally developed by the principal investigator titled POLAR*S™ .
The specific aims of this research study included testing the impact of three community pharmacy intervention for adult patients with diabetes or hyperlipidemia on: (1) medication adherence; (2) biologic outcomes associated with medication adherence; (3) self-reported health and psychosocial status; and (4) pharmacists' impressions on how BI could be scalable to community pharmacy settings.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Georgia
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Marietta, Georgia, United States, 30060
- Rite Aid® Corporation
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Pennsylvania
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Pittsburgh, Pennsylvania, United States, 15260
- University of Pittsburgh
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients taking oral medications for diabetes or hyperlipidemia
- 30-85 years of age
- Comfortable speaking in English
- Not institutionalized
- Not diagnosed with psychosis or dementia.
- Needed at least one prescription refill with the index medication picked up within 14 days of the index prescription fill
Exclusion Criteria:
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Study Plan
How is the study designed?
Design Details
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Screening and Brief Intervention (BI)
Screening and Brief Intervention (BI) at initial prescription fill and at each additional refill.
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Rite Aid® pharmacists screened patients at the time of the initial fill with the Adherence Estimator™ and using the screening results, provided the behavioral intervention, Brief Intervention using motivational interviewing principles based on POLAR*S (BI).
BI was considered an active intervention method.
|
Experimental: Pill Box (PB)
Pill Box (PB) and information about their medications at the initial fill and at each additional refill.
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Rite Aid® pharmacists provided patients with a Pill Box (PB) and information about their medications.
However, pharmacists did not use motivational interviewing principles for engaging patients in direct interventions to modify behavior.
PB was considered a passive intervention method.
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Experimental: Brief Intervention + Pill Box (BI+PB)
Screening and Brief Intervention (BI) and Pill Box (PB) at initial prescription fill and at each additional refill.
|
Rite Aid® pharmacists screened patients at the time of the initial fill with the Adherence Estimator™ and using the screening results, provided the behavioral intervention, Brief Intervention using motivational interviewing principles based on POLAR*S (BI).
BI was considered an active intervention method.
Rite Aid® pharmacists provided patients with a Pill Box (PB) and information about their medications.
However, pharmacists did not use motivational interviewing principles for engaging patients in direct interventions to modify behavior.
PB was considered a passive intervention method.
|
No Intervention: Standard Care (SC)
The Standard Care (SC) arm administered traditional dispensing and counseling by Rite Aid® pharmacists.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in medication adherence using the PDC metric, for adult patients with diabetes or hyperlipidemia.
Time Frame: At baseline and nine-months post-enrollment into the study.
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Medication adherence was measured as a Proportion of Days Covered (PDC) by calculating (at the patient level) the denominator as the number of days between the first fill of the medication during a measurement period and the end of the measurement period and the numerator is calculated as the number of days covered by prescription fill date and days of supply.
For each patient, the PDC was calculated at baseline and 9-months.
The baseline PDC was compared to that at 9-months.
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At baseline and nine-months post-enrollment into the study.
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in triglyerceride levels from baseline to 6- and 9-months.
Time Frame: At baseline, six months and nine-months post-enrollment into the study.
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Triglyeride levels were measured for patients who had regular blood samples drawn, at baseline, 6-months, and 9-months, by their physician during the course of the study.
The baseline measure was compared to that at 6- and 9-months.
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At baseline, six months and nine-months post-enrollment into the study.
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Change in cholesterol levels from baseline to 6- and 9-months.
Time Frame: At baseline, six months and nine-months post-enrollment into the study.
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Cholesterol levels were measured for patients who had regular blood samples drawn, at baseline, 6-months, and 9-months, by their physician during the course of the study.
The baseline measure was compared to that at 6- and 9-months.
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At baseline, six months and nine-months post-enrollment into the study.
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Change in high-density lipoprotein (HDL) levels from baseline to 6- and 9-months.
Time Frame: At baseline, six months and nine-months post-enrollment into the study.
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High-density lipoprotein (HDL) levels were measured for patients who had regular blood samples drawn, at baseline, 6-months, and 9-months, by their physician during the course of the study.
The baseline measure was compared to that at 6- and 9-months.
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At baseline, six months and nine-months post-enrollment into the study.
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Change in low-density lipoprotein (LDL) levels from baseline to 6- and 9-months.
Time Frame: At baseline, six months and nine-months post-enrollment into the study.
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Low-density lipoprotein (LDL) levels were measured for patients who had regular blood samples drawn, at baseline, 6-months, and 9-months, by their physician during the course of the study.
The baseline measure was compared to that at 6- and 9-months.
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At baseline, six months and nine-months post-enrollment into the study.
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Change in glycated hemoglobin (HbA1c) levels from baseline to 6- and 9-months.
Time Frame: At baseline, six months and nine-months post-enrollment into the study.
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Glycated hemoglobin (HbA1c) levels were measured for patients who had regular blood samples drawn, at baseline, 6-months, and 9-months, by their physician during the course of the study.
The baseline measure was compared to that at 6- and 9-months.
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At baseline, six months and nine-months post-enrollment into the study.
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Change in self-reported healthcare utilization, using a study-designed standardized questionnaire, from baseline to 9-months.
Time Frame: At baseline and nine-months post-enrollment into the study.
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Self-reported healthcare utilization information was collected upon enrollment during the baseline interview using a standardized questionnaire developed bv the PI for the study.
These interviews were repeated for the 9-month follow-up period.
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At baseline and nine-months post-enrollment into the study.
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Change in self-reported psychosocial status, using a study-designed standardized questionnaire, from baseline to 9-months.
Time Frame: At baseline and nine-months post-enrollment into the study.
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Self-reported psychosocial status information was collected upon enrollment during the baseline interview using a standardized questionnaire developed bv the PI for the study.
These interviews were repeated for the 9-month follow-up period.
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At baseline and nine-months post-enrollment into the study.
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Janice L Pringle, PhD, University of Pittsburgh
- Study Chair: Newell McElwee, PharmD, MSPH, Merck Sharp & Dohme LLC
Publications and helpful links
General Publications
- Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005 Aug 4;353(5):487-97. doi: 10.1056/NEJMra050100. No abstract available.
- Williams A, Manias E, Walker R. Interventions to improve medication adherence in people with multiple chronic conditions: a systematic review. J Adv Nurs. 2008 Jul;63(2):132-43. doi: 10.1111/j.1365-2648.2008.04656.x.
- Yeaw J, Benner JS, Walt JG, Sian S, Smith DB. Comparing adherence and persistence across 6 chronic medication classes. J Manag Care Pharm. 2009 Nov-Dec;15(9):728-40. doi: 10.18553/jmcp.2009.15.9.728.
- Haynes RB, Ackloo E, Sahota N, McDonald HP, Yao X. Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 2008 Apr 16;(2):CD000011. doi: 10.1002/14651858.CD000011.pub3.
- Vik SA, Hogan DB, Patten SB, Johnson JA, Romonko-Slack L, Maxwell CJ. Medication nonadherence and subsequent risk of hospitalisation and mortality among older adults. Drugs Aging. 2006;23(4):345-56. doi: 10.2165/00002512-200623040-00007.
- Traynor K. Poor medication adherence remains a problem. Am J Health Syst Pharm. 2012 Nov 1;69(21):1850. doi: 10.2146/news120074. No abstract available.
- Stefanacci RG, Guerin S. Why medication adherence matters to patients, payers, providers. Manag Care. 2013 Jan;22(1):37-9. No abstract available.
- Williams J, Steers WN, Ettner SL, Mangione CM, Duru OK. Cost-related nonadherence by medication type among Medicare Part D beneficiaries with diabetes. Med Care. 2013 Feb;51(2):193-8. doi: 10.1097/MLR.0b013e318270dc52.
- Viswanathan M, Golin CE, Jones CD, Ashok M, Blalock S, Wines RC, Coker-Schwimmer EJ, Grodensky CA, Rosen DL, Yuen A, Sista P, Lohr KN. Closing the quality gap: revisiting the state of the science (vol. 4: medication adherence interventions: comparative effectiveness). Evid Rep Technol Assess (Full Rep). 2012 Sep;(208.4):1-685.
- Babor TF, Kadden RM. Screening and interventions for alcohol and drug problems in medical settings: what works? J Trauma. 2005 Sep;59(3 Suppl):S80-7; discussion S94-100. doi: 10.1097/01.ta.0000174664.88603.21.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- ECOPHIL
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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