Evidence map›Paper›PMID 26842500›Full record

ArticleBMC geriatrics2016

Can the general public use vignettes to discriminate between Alzheimer's disease health states?

Mark Oremus, Feng Xie, Eleanor Pullenayegum, Kathryn Gaebel

Abstract read
In one paragraph

Article in BMC geriatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Psychometric properties of the EQ-5D-5L: a systematic review of the literature.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Pooled it
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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

4 authors.

Mark OremusSchool of Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada. moremus@uwaterloo.ca.
Feng XieDepartment of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main Street West, Hamilton, ON, Canada. fengxie@mcmaster.ca.
Eleanor PullenayegumChild Health Evaluative Sciences, Hospital for Sick Children, 555 University Avenue, Toronto, ON, Canada. eleanor.pullenayegum@sickkids.ca.
Kathryn GaebelCentre for Evaluation of Medicines, St. Joseph's Healthcare Hamilton, 25 Main Street West, Hamilton, ON, Canada. gaebk@mcmaster.ca.

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundValid estimates of health-related quality-of-life (HRQoL) are often difficult to obtain from persons with Alzheimer's disease (AD) and family caregiver proxies. To help assess whether the general public can serve as an alternate source of proxy HRQoL estimates in AD, we examined whether the general public can use vignettes to discriminate between AD health states.

methodsWe administered a telephone survey to randomly recruited participants from the general public who were aged 18 years or older. Interviewers read vignettes describing the mild, moderate, and severe AD health states to the participants, who answered the EQ-5D-5L and Quality of Life-Alzheimer's Disease (QoL-AD) scales as if they had AD based on the vignette descriptions. Participants also answered the EQ-5D-5L for their current health states. We converted EQ-5D-5L responses into health utility scores using Canadian preference weights. We employed the Wilcoxon signed rank test to examine whether mean health utility scores and mean QoL-AD scores differed between health states. We used Pearson's r to assess correlations between health utility and QoL-AD scores.

resultsForty-eight participants (median age = 53 years; 25 female) completed the telephone interview; health utility and QoL-AD scores decreased as AD severity increased (p <0.0001). Mean health utility scores were 0.65 (mild), 0.51 (moderate), and 0.25 (severe). Mean QoL-AD scores were 26.7 (mild), 23.0 (moderate), and 17.4 (severe). The correlations between health utility and QoL-AD scores were moderate to strong (r ≥ 0.62).

conclusionsUsing the vignettes, the general public provided HRQoL estimates that discriminated between the three AD health states. This finding suggests the general public may be a promising source of proxy HRQoL estimates in place of persons with AD.

Indexed as

Health StatusQuality of LifeAdultAgedAlzheimer DiseaseCanadaCaregiversFemaleHealth SurveysHumansMaleMiddle Aged

Identifiers

PMID26842500
PMCPMC4738787

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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.