Older Adults' Readiness to Stop Prescribed Medications

January 7, 2025 updated by: Steven M. Albert, University of Pittsburgh

Older Adults' Readiness to Stop Prescribed Medications with Guidance from Health Care Professionals

Polypharmacy, regular use of 5+ prescribed medications, is common among older adults and potentially harmful. Patients differ in their concern about medications, comfort in raising questions about them, and trust and confidence in physician judgment. This pilot observational research will determine older adults' readiness to "deprescribe," that is, stop prescribed medications under physician guidance.

Study Overview

Status

Completed

Detailed Description

The purpose of this research is to assess readiness to deprescribe, that is, to determine how willing patients are to stop prescriptions that may no longer be necessary or may no longer have a favorable benefit-risk ratio. This readiness depends on many factors, including a patient's trust in a health care provider, how proactive patients are in seeking care, and patients' comfort in changing longstanding medical regimens.

The proposed two-wave survey research will use validated instruments and recruit from an older adult research registry to determine (i) readiness to deprescribe at baseline, (ii) correlates of such readiness, and (iii) effects of intercurrent illness and changing health on readiness to deprescribe at 6 months.

Specific aims:

  1. Determine readiness to deprescribe among a sample of patients with 5+ prescriptions using validated scales.
  2. Determine correlates of readiness to deprescribe. Patients differing in age, gender, race, education, and comorbidity may differ in willingness to stop prescribed medications.
  3. Determine the effect of intercurrent illness on readiness to deprescribe. Over 6 months, we anticipate some patients will have a new onset of illness or hospitalization, or increasing levels of disability. We would like to determine if these changes in medical status affect readiness to deprescribe.

Study Type

Observational

Enrollment (Actual)

108

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

    • Pennsylvania
      • Pittsburgh, Pennsylvania, United States, 15261
        • University of Pittsburgh

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

  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Participants in the University of Pittsburgh Claude D. Pepper communty research registry.

Description

Inclusion Criteria:

  1. 65 years or older
  2. Medical visit within past 6 months
  3. Self-report of at least 5 regular medications for at least 4 weeks

Exclusion criteria:

  1. Diagnosis of dementia or score <=4 on Memory Impairment Screen
  2. Hospitalization in prior 30 days with change in medications

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

Cohorts and Interventions

Group / Cohort
Registry participants
Participants in the University of Pittsburgh Claude D. Pepper Center community research registry. Potential participants will have stable regimens of 5+ prescribed medications and recent physician contact but no hospitalization in the prior 6 months.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Patient Motivation to Deprescribe
Time Frame: Change over 6 months
Self-report measure (Linsky 2020): range 1-5; high scores = greater readiness to deprescribe; mean (SD) in VA sample 2.99 (0.80)
Change over 6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Self-reported stopping/changing prescription medication
Time Frame: 6 months
Self-report of stopping, tapering, or altering use of any prescription, with or without physician discussion
6 months

Collaborators and Investigators

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

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 (Actual)

September 21, 2023

Primary Completion (Actual)

December 31, 2024

Study Completion (Actual)

December 31, 2024

Study Registration Dates

First Submitted

August 9, 2023

First Submitted That Met QC Criteria

August 9, 2023

First Posted (Actual)

August 18, 2023

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 7, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • STUDY23060137

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

De-identified individual-level data will be made available to investigators upon request following publication of key findings.

IPD Sharing Time Frame

After 6/1/25, available for 2 years

IPD Sharing Access Criteria

Written request to investigator

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

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, Decision-making

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