Evidence map›Paper›PMID 27071685›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2016

The meaning of vaguely quantified frequency response options on a quality of life scale depends on respondents' medical status and age.

Stefan Schneider, Arthur A Stone

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  4. The role of response domain and scale label in the quantitative interpretation of patient-reported outcome measure response options.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  5. Article
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  8. Article
  9. To bin or not to bin? A comparison of symptom frequency response formats in the assessment of health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    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

2 authors.

Stefan SchneiderDornsife Center for Self-Report Science, Center for Economic and Social Research, University of Southern California, 635 Downey Way, Los Angeles, CA, 90089-3332, USA. schneids@usc.edu.
Arthur A StoneDornsife Center for Self-Report Science, Center for Economic and Social Research, University of Southern California, 635 Downey Way, Los Angeles, CA, 90089-3332, USA.

Funding

Frame of Reference Effects in Health Disparities ResearchR01AG042407 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STONE, ARTHUR A · 2014 to 2018
$3.4M
NIA NIH HHS R01 AG042407
6 · The paper itself

Abstract

purposeSelf-report items in quality of life (QoL) scales commonly use vague quantifiers like "sometimes" or "often" to measure the frequency of health-related experiences. This study examined whether the meaning of such vaguely quantified response options differs depending on people's medical status and age, which may undermine the validity of QoL group comparisons.

methodsRespondents (n = 600) rated the frequency of positive and negative QoL experiences using vague quantifiers (never, rarely, sometimes, often, always) and provided open-ended numeric frequency counts for the same items. Negative binomial regression analyses examined whether the numeric frequencies associated with each vague quantifier differed between medical status (no vs. one or more medical conditions) and age (18-40 vs. 60+ years) groups.

resultsCompared to respondents without a chronic condition, those with a medical condition assigned a higher numeric frequency to the same vague quantifiers for negative QoL experiences; this effect was not evident for positive QoL experiences. Older respondents' numeric frequencies were more extreme (i.e., lower at the low end and somewhat higher at the high end of the response range) than those of younger respondents. After adjusting for these effects, differences in QoL became somewhat more pronounced between medical status groups, but not between age groups.

conclusionsThe results suggest that people with different medical backgrounds and age do not interpret vague frequency quantifiers on a QoL scale in the same way. Open-ended numeric frequency reports may be useful to detect and potentially correct for differences in the meaning of vague quantifiers.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsChronic DiseaseFemaleHumansMaleMiddle AgedQuality of LifeSelf ReportSurveys and QuestionnairesYoung AdultAgeChronic illnessFrequency ratingsQuality of lifeSelf-reportVague quantifiers

Identifiers

PMID27071685
PMCPMC5345903

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Registered trials

None linked

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.