Evidence map›Paper›PMID 21744032›Full record

Trial reportQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2012

Measuring health-related quality-of-life for Alzheimer's disease using the general public.

Feng Xie, Mark Oremus, Kathryn Gaebel

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Feng XiePrograms 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
Mark Oremus
Kathryn Gaebel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLittle 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.

methodsWe 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.

resultsWe 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.

conclusionsThe general public can differentiate between the three stages of AD, and their HRQoL estimates for AD are weakly correlated with their current health status.

Indexed as

Health StatusProxyQuality of LifeAdultAlzheimer DiseaseFemaleHumansInterviews as TopicMaleMiddle AgedOntarioSeverity of Illness IndexSurveys and QuestionnairesUser-Computer Interface

Identifiers

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Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.