Feng Xie1, Mark Oremus, Kathryn Gaebel. 1. Programs for Assessment of Technology in Health (PATH) Research Institute, McMaster University, 25 Main Street West, Suite 2000, Hamilton, ON, L8P 1H1, Canada. fengxie@mcmaster.ca
Abstract
PURPOSE: Little research exists to indicate whether the general public can provide proxy health-related quality-of-life (HRQoL) estimates for persons with Alzheimer's disease (AD). We investigated (1) whether the general public can differentiate between mild, moderate, and severe AD and (2) whether the general public's proxy HRQoL estimates are correlated with current health status. METHODS: We conducted computer-assisted personal interviews. The computer randomly assigned each participant to read a vignette describing mild, moderate, or severe AD. Participants answered the EQ-5D-5L and Quality-of-life-Alzheimer's Disease (QoL-AD), while imagining living in the health state described in their assigned vignette. Participants also answered the EQ-5D-5L based on their health state at the time of the interview. RESULTS:We interviewed 100 participants. EQ-5D-5L utilities were 0.7413 (mild), 0.6159 (moderate), and 0.4456 (severe) (P < 0.001). Mean QoL-AD scores were 32.5 (mild), 24.0 (moderate), and 21.8 (severe) (P < 0.0001 for severe vs. mild, moderate vs. mild; P > 0.05 for severe vs. moderate). Participants' EQ-5D-5L utility scores were weakly correlated (r ≤ 0.28) across both administrations of the instrument. CONCLUSIONS: The general public can differentiate between the three stages of AD, and their HRQoL estimates for AD are weakly correlated with their current health status.
RCT Entities:
PURPOSE: Little research exists to indicate whether the general public can provide proxy health-related quality-of-life (HRQoL) estimates for persons with Alzheimer's disease (AD). We investigated (1) whether the general public can differentiate between mild, moderate, and severe AD and (2) whether the general public's proxy HRQoL estimates are correlated with current health status. METHODS: We conducted computer-assisted personal interviews. The computer randomly assigned each participant to read a vignette describing mild, moderate, or severe AD. Participants answered the EQ-5D-5L and Quality-of-life-Alzheimer's Disease (QoL-AD), while imagining living in the health state described in their assigned vignette. Participants also answered the EQ-5D-5L based on their health state at the time of the interview. RESULTS: We interviewed 100 participants. EQ-5D-5L utilities were 0.7413 (mild), 0.6159 (moderate), and 0.4456 (severe) (P < 0.001). Mean QoL-AD scores were 32.5 (mild), 24.0 (moderate), and 21.8 (severe) (P < 0.0001 for severe vs. mild, moderate vs. mild; P > 0.05 for severe vs. moderate). Participants' EQ-5D-5L utility scores were weakly correlated (r ≤ 0.28) across both administrations of the instrument. CONCLUSIONS: The general public can differentiate between the three stages of AD, and their HRQoL estimates for AD are weakly correlated with their current health status.
Authors: Gary Naglie; George Tomlinson; Catherine Tansey; Jane Irvine; Paul Ritvo; Sandra E Black; Morris Freedman; Michel Silberfeld; Murray Krahn Journal: Qual Life Res Date: 2006-05 Impact factor: 4.147
Authors: Jason H Karlawish; Art Zbrozek; Bruce Kinosian; Annemarie Gregory; Allison Ferguson; Dominique V Low; Henry A Glick Journal: Alzheimers Dement Date: 2008-04-24 Impact factor: 21.566
Authors: Jason H Karlawish; Art Zbrozek; Bruce Kinosian; Annemarie Gregory; Allison Ferguson; Henry A Glick Journal: Alzheimers Dement Date: 2008-05-02 Impact factor: 21.566