Evidence map›Paper›PMID 30182299›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2018

Factor structure of the Q-LES-Q short form in an enrolled mental health clinic population.

Rachel P Riendeau, Jennifer L Sullivan, Mark Meterko, Kelly Stolzmann, Alicia K Williamson, Christopher J Miller, Bo Kim, Mark S Bauer

Open access · hybridAbstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

16 citing papers in PubMed, 32 citations in OpenAlex.

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  15. Social cohesion and quality of life among survivors of a natural disaster.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
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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

8 authors at 4 institutions in 1 country.

Rachel P RiendeauCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System (152M), 150 South Huntington Avenue, Boston, MA, 02130, USA. Rachel.Riendeau@va.gov.
Jennifer L SullivanCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System (152M), 150 South Huntington Avenue, Boston, MA, 02130, USA.
Mark MeterkoCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System (152M), 150 South Huntington Avenue, Boston, MA, 02130, USA.
Kelly StolzmannCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System (152M), 150 South Huntington Avenue, Boston, MA, 02130, USA.
Alicia K WilliamsonSchool of Information, University of Michigan, 4322 North Quad, 105 S. State Street, Ann Arbor, MI, 48109-1285, USA.
Christopher J MillerCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System (152M), 150 South Huntington Avenue, Boston, MA, 02130, USA.
Bo KimCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System (152M), 150 South Huntington Avenue, Boston, MA, 02130, USA.
Mark S BauerCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System (152M), 150 South Huntington Avenue, Boston, MA, 02130, USA.
VA Boston Healthcare System · USBoston University · USHarvard University · USUniversity of Michigan–Ann Arbor · US

Funding

HSRD VA QUE 15-289VA QUERI-15-289
6 · The paper itself

Abstract

purposeThe Quality of Life, Enjoyment, and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) is a recovery-oriented, self-report measure with an uncertain underlying factor structure, variously reported in the literature to consist of either one or two domains. We examined the possible factor structures of the English version in an enrolled mental health population who were not necessarily actively engaged in care.

methodsAs part of an implementation trial in the U.S. Department of Veterans Affairs mental health clinics, we administered the Q-LES-Q-SF and Veterans RAND 12-Item Health Survey (VR-12) over the phone to 576 patients across nine medical centers. We used a split-sample approach and conducted an exploratory factor analysis (EFA) and multi-trait analysis (MTA). Comparison with VR-12 assessed construct validity.

resultsBased on 568 surveys after excluding the work satisfaction item due to high unemployment rate, the EFA indicated a unidimensional structure. The MTA showed a single factor: ten items loaded on one strong psychosocial factor (α = 0.87). Only three items loaded on a physical factor (α = 0.63). Item discriminant validity was strong at 92.3%. Correlations with the VR-12 were consistent with the existence of two factors.

conclusionsThe English version of the Q-LES-Q-SF is a valid, reliable self-report instrument for assessing quality of life. Its factor structure can be best described as one strong psychosocial factor. Differences in underlying factor structure across studies may be due to limitations in using EFA on Likert scales, language, culture, locus of participant recruitment, disease burden, and mode of administration.

Indexed as

Personal SatisfactionSelf ReportAdultAmbulatory Care FacilitiesFactor Analysis, StatisticalFemaleHumansMaleMental HealthMiddle AgedPersons with Psychiatric DisordersPsychometricsQuality of LifeReproducibility of ResultsSurveys and QuestionnairesVeteransFactor analysisMental healthPsychometricsQ-LES-Q-SFQuality of life (QOL)Veterans

Identifiers

PMID30182299
PMCPMC6208579
OpenAlexW2892152982

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.