e-Pharmacovigilance II - Surveillance for Safety and Effectiveness - Calling for Earlier Detection of Adverse Reactions
NCT ID: NCT02087293
Last Updated: 2015-08-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
38400 participants
INTERVENTIONAL
2013-06-30
2016-08-31
Brief Summary
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Specific Aim 2: To measure the reach, effectiveness, adoption and implementation of this integrated module for adult primary care patients in the Brigham and Women's Primary Care Practice-Based Research Network.
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Detailed Description
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During the prior CERT, the investigators developed an interactive voice response system (IVRS) that interoperates with the health system EHR, and demonstrated that IVRS can be used to monitor ambulatory patients to assess adherence, medication related symptoms, and ADEs. This study builds on that initial work.
The safety of prescription drugs represents an ongoing public health concern. A study by the US General Accounting Office (GAO) found that 51% of all approved drugs have at least one serious ADE that was not recognized during the approval process, reflecting the careful selection and limited number of patients who participate in pre-approval trials. While pre-market studies detect commonly occurring ADEs and efficacy in rigorously selected participants, they are not designed to assess safety and effectiveness in the broader population of eventual users. While the FDA maintains a passive adverse event reporting system, it is estimated that only about 1% of all ADEs and 10% of serious ADEs are reported, and these case reports lack accurate denominators to estimate incidence. While efforts are underway to substantially expand capacity for active surveillance using electronic health records and claims data, these data may not fully capture the patient experience, as clinicians often do not fully document patients' symptoms.
Accurate ascertainment of ADEs and effectiveness in clinical practice requires real-time systems that integrate patient-reported information with clinician decision-making. Telephonic IVRS are a low-cost, sustainable way of reaching out to primary care populations, independent of a visit. In addition to monitoring for ADEs, this technology could be used to systematically assess treatment outcomes that are not commonly documented in the medical chart such as functional status, sleep, and mood.
This 5 year project will have three phases: (1) development and pilot testing of the integrated pharmacovigilance system; (2) implementation; and (3) assessment of the translation and dissemination of the system, including data collection from both patients and providers. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) conceptual model provides a framework to examine the success of translation and dissemination of this system, and will be used for the third phase of the project.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Intervention group, IVR call, RPh counseling
Group receives interactive voice response automated call asking about side effects of newly prescribed medications; has opportunity to speak with study pharmacist via phone about medication
Intervention arm - automated call and phone-based pharmacist counseling
patients receive automated phone call with questions about side effects and an opportunity to speak with a pharmacist
Control
Intervention patients are matched with control patients; control patients have only chart review completed.
No interventions assigned to this group
Interventions
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Intervention arm - automated call and phone-based pharmacist counseling
patients receive automated phone call with questions about side effects and an opportunity to speak with a pharmacist
Eligibility Criteria
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Inclusion Criteria
* has received a new prescription for an oral agent to treat diabetes, hypertension, depression, or insomnia
* prescribed new target drug within last month by a provider at one of the participating clinics
Exclusion Criteria
* patient prescribed the drug for short term use, i.e. less than a week's dose
* patient prescribed same drug less than 2 years prior
21 Years
ALL
No
Sponsors
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Brigham and Women's Hospital
OTHER
Responsible Party
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Elissa Klinger
Research Project Manager
Principal Investigators
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Gordon Schiff, MD
Role: PRINCIPAL_INVESTIGATOR
Brigham and Women's Hospital
Locations
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Brigham and Women's Hospital
Boston, Massachusetts, United States
Countries
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References
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Haas JS, Klinger E, Marinacci LX, Brawarsky P, Orav EJ, Schiff GD, Bates DW. Active pharmacovigilance and healthcare utilization. Am J Manag Care. 2012 Nov 1;18(11):e423-8.
Haas JS, Amato M, Marinacci L, Orav EJ, Schiff GD, Bates DW. Do package inserts reflect symptoms experienced in practice?: assessment using an automated phone pharmacovigilance system with varenicline and zolpidem in a primary care setting. Drug Saf. 2012 Aug 1;35(8):623-8. doi: 10.2165/11630650-000000000-00000.
Linder JA, Haas JS, Iyer A, Labuzetta MA, Ibara M, Celeste M, Getty G, Bates DW. Secondary use of electronic health record data: spontaneous triggered adverse drug event reporting. Pharmacoepidemiol Drug Saf. 2010 Dec;19(12):1211-5. doi: 10.1002/pds.2027.
Haas JS, Iyer A, Orav EJ, Schiff GD, Bates DW. Participation in an ambulatory e-pharmacovigilance system. Pharmacoepidemiol Drug Saf. 2010 Sep;19(9):961-9. doi: 10.1002/pds.2006.
Schiff GD, Klinger E, Salazar A, Medoff J, Amato MG, John Orav E, Shaykevich S, Seoane EV, Walsh L, Fuller TE, Dykes PC, Bates DW, Haas JS. Screening for Adverse Drug Events: a Randomized Trial of Automated Calls Coupled with Phone-Based Pharmacist Counseling. J Gen Intern Med. 2019 Feb;34(2):285-292. doi: 10.1007/s11606-018-4672-7. Epub 2018 Oct 5.
Other Identifiers
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2012-P000210
Identifier Type: -
Identifier Source: org_study_id
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