e-Pharmacovigilance II - Surveillance for Safety and Effectiveness - Calling for Earlier Detection of Adverse Reactions (CEDAR)
Primary Purpose
Diabetes, Depression, Insomnia
Status
Unknown status
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Intervention arm - automated call and phone-based pharmacist counseling
Sponsored by
About this trial
This is an interventional health services research trial for Diabetes
Eligibility Criteria
Inclusion Criteria:
- receives primary care at one of the Brigham-affiliated ambulatory care clinics
- 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:
- not a true "new start," i.e. patient new to clinic/health system
- 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
Sites / Locations
- Brigham and Women's Hospital
Arms of the Study
Arm 1
Arm 2
Arm Type
Experimental
No Intervention
Arm Label
Intervention group, IVR call, RPh counseling
Control
Arm Description
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 patients are matched with control patients; control patients have only chart review completed.
Outcomes
Primary Outcome Measures
Discontinuation of mediation
Was medication thought to be associated with adverse drug reaction discontinued in the patient chart?
Secondary Outcome Measures
Adverse drug reaction awareness
evidence of adverse drug reaction awareness in patient chart - ADR discussed with provider, dose changed, medication switched.
Full Information
NCT ID
NCT02087293
First Posted
March 11, 2014
Last Updated
August 3, 2015
Sponsor
Brigham and Women's Hospital
1. Study Identification
Unique Protocol Identification Number
NCT02087293
Brief Title
e-Pharmacovigilance II - Surveillance for Safety and Effectiveness - Calling for Earlier Detection of Adverse Reactions
Acronym
CEDAR
Official Title
e-Pharmacovigilance II - Surveillance for Safety and Effectiveness - Calling for Earlier Detection of Adverse Reactions
Study Type
Interventional
2. Study Status
Record Verification Date
August 2015
Overall Recruitment Status
Unknown status
Study Start Date
June 2013 (undefined)
Primary Completion Date
March 2015 (Actual)
Study Completion Date
August 2016 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Brigham and Women's Hospital
4. Oversight
Data Monitoring Committee
No
5. Study Description
Brief Summary
Specific Aim 1: To develop a patient-reported, EHR-integrated system to actively monitor the safety and effectiveness of treatment for patients taking FDA-approved medications for one of four common chronic conditions (diabetes, hypertension, insomnia, depression), with integrated management support by a pharmacist.
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.
Detailed Description
The study team has wide experience surveying primary care patients about medication problems, and has established that this is an important component of detecting and understanding ADEs among ambulatory patients. In the first study, 18% of primary care patients reported a problem due to a medication during the previous year, but this was documented in only 3% of medical records. A subsequent study found that 27% of patients reported a medication-related symptom, but that only 69% of patients discussed this symptom with their physician. Upon being notified via this automated pharmacovigilance, physicians changed therapy in response to 76% of these symptoms, and 21% symptoms that had not been previously discussed resulted in a preventable ADE and 2% resulted in a preventable ADE.
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.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Diabetes, Depression, Insomnia, Hypertension
7. Study Design
Primary Purpose
Health Services Research
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
None (Open Label)
Allocation
Randomized
Enrollment
38400 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
Intervention group, IVR call, RPh counseling
Arm Type
Experimental
Arm Description
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
Arm Title
Control
Arm Type
No Intervention
Arm Description
Intervention patients are matched with control patients; control patients have only chart review completed.
Intervention Type
Behavioral
Intervention Name(s)
Intervention arm - automated call and phone-based pharmacist counseling
Intervention Description
patients receive automated phone call with questions about side effects and an opportunity to speak with a pharmacist
Primary Outcome Measure Information:
Title
Discontinuation of mediation
Description
Was medication thought to be associated with adverse drug reaction discontinued in the patient chart?
Time Frame
6-8 months after initial recruitment
Secondary Outcome Measure Information:
Title
Adverse drug reaction awareness
Description
evidence of adverse drug reaction awareness in patient chart - ADR discussed with provider, dose changed, medication switched.
Time Frame
6-8 months following recruitment
Other Pre-specified Outcome Measures:
Title
Call metrics
Description
How many people were successfully counseled on the phone by the pharmacist about medications - adherence, safety, side effects. How many people reported a side effect but chose not to speak with the pharmacist. How many people completed a partial survey via phone.
Time Frame
Ongoing assessment as part of quality assurance and quality improvment; final call disposition to be assigned to each patient 1-2 weeks following the 1st IVRS call (4-6 weeks following initiation of target drug) and the 2nd IVR call (4-6 months later)
10. Eligibility
Sex
All
Minimum Age & Unit of Time
21 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
receives primary care at one of the Brigham-affiliated ambulatory care clinics
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:
not a true "new start," i.e. patient new to clinic/health system
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
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Gordon Schiff, MD
Organizational Affiliation
Brigham and Women's Hospital
Official's Role
Principal Investigator
Facility Information:
Facility Name
Brigham and Women's Hospital
City
Boston
State/Province
Massachusetts
ZIP/Postal Code
02115
Country
United States
12. IPD Sharing Statement
Citations:
PubMed Identifier
23198749
Citation
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.
Results Reference
background
PubMed Identifier
22764754
Citation
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.
Results Reference
background
PubMed Identifier
21155192
Citation
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.
Results Reference
background
PubMed Identifier
20623512
Citation
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.
Results Reference
background
PubMed Identifier
30291602
Citation
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.
Results Reference
derived
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e-Pharmacovigilance II - Surveillance for Safety and Effectiveness - Calling for Earlier Detection of Adverse Reactions
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