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Adherence Intervention for High Cholesterol (ADH-Wizard Trial)
ADH-Wizard Trial Summary
This trial is testing a new way to help people with diabetes, hypertension, or lipid disorders stay on their medication. The intervention uses pharmacists to provide personalized support and information to patients identified as being at risk for not taking their medication. The intervention is based on the World Health Organization's information-motivation-behavioral framework and is designed to be integrated into primary care.
- High Cholesterol
- High Blood Pressure
- Diabetes
- Medication Nonadherence
ADH-Wizard Trial Eligibility Criteria
Inclusion Criteria
You may be eligible if you check “Yes” for the criteria belowADH-Wizard Trial Timeline
Treatment Details
Study Objectives
Outcome measures can provide a clearer picture of what you can expect from a treatment.ADH-Wizard Trial Design
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Who is running the clinical trial?
Frequently Asked Questions
Are geriatric individuals being accepted as participants in this experiment?
"According to the criteria for participation, individuals aged 18 or above and below 75 may enroll in this medical trial."
Are there vacancies for participants in this investigation?
"Cited on clinicaltrials.gov, this medical trial is not presently recruiting patients after commencing the search on August 19th 2020 and concluding it in May 5th 2022. Although no longer enrolling candidates, there are still 940 other trials actively seeking participants at this time."
To whom is enrolment in this trial accessible?
"This clinical trial is in search of 8357 participants aged 18 to 75 who have been diagnosed with lipidemia. To be considered eligible, patients must also possess one or more active non-insulin glycemic medications on their electronic health record (EHR) medication list and present a potential adherence issue for these drugs according to the Epic Medication Adherence score (e-PDC <80%, moderate/high confidence). Additionally, they need two consecutive BP values ≥140/90 mm Hg AND one or more BP medications on their EHR medication list along with an observed adherence problem identified through e-PDC (<80%). Furthermore,"
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