Hero image with Pittsburgh background https://pittplusme.org/study/2360

NO IN-PERSON VISITS
This study is not currently recruiting. Please check back at a later time.

STUDY BASICS

Are you age 65 or older and do you receive primary care (family medicine, internal medicine, or geriatrics) at UPMC? You may be eligible to participate in an interview to assess your understanding of newly developed screening questions that look for cognitive impairment or memory issues. Eligible participants must be able to join a virtual meeting by computer using a webcam.


STUDY PURPOSE

The purpose of this research study is to assess your understanding of newly developing screening questions that look for cognitive impairment or memory issues.


COULD THIS STUDY BE RIGHT FOR YOU?

You are eligible to participate if:

  • You are age 65 or older
  • You receive primary care (family medicine, internal medicine, or geriatrics) at UPMC
  • You do not have any memory issues
  • You are able to join a virtual meeting by computer using a webcam

WHAT PARTICIPANTS CAN EXPECT

The interview will be led by a researcher at the RAND Corporation, a non-profit research organization. During the interview, we will ask about:

  • Your feedback on newly developed screening questions that look for cognitive impairment and memory issues
  • Your honest opinions and reactions to the screening questions, including any words or phrases that seem unclear or confusing

IRB: IRB00000051D
- Using the PROMIS Cognition Item Bank for Early Detection of Cognitive Decline in Primary Care


PHONE NUMBER: 1-866-438-8230
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INTERESTED?

Visit https://pittplusme.org/study/2360 and click on "I'm Interested" or call 1-866-438-8230.


LEARN MORE

PittPlusMe.org
1-866-438-8230
PittPlusMe@pitt.edu
@PittPlusMe
@PittPlusMe

MEET THE RESEARCHER


Janel Hanmer

Janel Hanmer, MD, PhD, is an Associate Professor of Medicine in the Division of General Internal Medicine at the University of Pittsburgh. A graduate of the University of Wisconsin and a mom of two great kids, Dr. Hanmer’s research interests include health-related quality of life measurement, particularly health utility measurement.