Care Planning for Older Persons With Multiple Conditions: Encouraging a Tailored Approach (COMET): Stage II (COMET)

August 23, 2016 updated by: Yale University
The purpose of the proposed project is to pilot-test in the clinic setting a computer-based clinical decision support system (CDSS) designed to optimize medication prescribing for older persons with multiple chronic conditions and polypharmacy.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

128

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Connecticut
      • West Haven, Connecticut, United States, 06516
        • VA Connecticut Healthcare

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

65 years and older (Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Veterans age 65 years and older.
  • Patients should be diagnosed with diabetes and hypertension and be prescribed five or more medications.
  • Patients receiving primary care at the West Haven campus of VA Connecticut Healthcare System.

Exclusion Criteria:

  • Unable to manage own medications because of cognitive impairment.
  • Medications prescribed by physician outside of the VA.
  • Severe vision or hearing impairment.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Usual Care
Experimental: COMET
The intervention consists of completion of the tool (COMET) by means of a 30 minute telephone interview prior to the primary care visit and provision of the tool's output to the patient and primary care physician. The COMET tool takes information about the patient's medications and chronic conditions from the electronic health record, and then supplements this with information obtained by a telephone interview assessing the patient's cognition, social supports, medication adherence, home medication regimen, medication side effects, and health status. In addition, there is a chart review screen to record renal function, blood pressure, and hemoglobin A1C. All of this information is run through a set of algorithms to identify medication reconciliation errors and potentially inappropriate medications.
The intervention consists of completion of the tool by means of a telephone interview prior to the primary care visit and provision of the tool's output to the patient and PCP.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Patient Assessment of Care for Chronic Conditions (PACIC)
Time Frame: Immediately following the primary care visit at which the patient is enrolled in the study
A modified version of the Patient Assessment of Care for Chronic Conditions (PACIC) will be used. The original tool is a 20 item instrument (100 points total) designed to assess a patients perception of one's health care (for chronic conditions). A higher score indicates a more favorable rating.
Immediately following the primary care visit at which the patient is enrolled in the study

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of changes made to the medication regimen
Time Frame: 3 Month Follow Up
A chart review will be completed of the 3 months following the clinic appointment at which the patient is enrolled in the study to document any changes that were made to the medication regimen.
3 Month Follow Up
Coding of audiotapes of primary care visit
Time Frame: The primary care visit at which the patient is enrolled in the study
The Active Patient Participation Coding Scheme (APPC) is a validated instrument to assess indicators and facilitators of patient participation. Audio recordings will also be coded for evidence of providers' partnership building in the form of verbal encouragement to ask questions, express opinions, talk about their feelings, and participate in decision making.
The primary care visit at which the patient is enrolled in the study

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Terri R Fried, MD, Yale School of Medicine

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

April 1, 2014

Primary Completion (Actual)

April 1, 2016

Study Completion (Actual)

May 1, 2016

Study Registration Dates

First Submitted

July 8, 2015

First Submitted That Met QC Criteria

July 15, 2015

First Posted (Estimate)

July 17, 2015

Study Record Updates

Last Update Posted (Estimate)

August 24, 2016

Last Update Submitted That Met QC Criteria

August 23, 2016

Last Verified

August 1, 2016

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 1410014812

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.

Clinical Trials on Polypharmacy

Clinical Trials on COMET

3
Subscribe