Reference bias: presentation of extreme health states prior to eq-vas improves health-related quality of life scores. a randomised cross-over trial
Identifieur interne : 002324 ( Pmc/Checkpoint ); précédent : 002323; suivant : 002325Reference bias: presentation of extreme health states prior to eq-vas improves health-related quality of life scores. a randomised cross-over trial
Auteurs : Steven Mcphail [Australie] ; Elaine Beller [Australie] ; Terry Haines [Australie]Source :
- Health and Quality of Life Outcomes [ 1477-7525 ] ; 2010.
Abstract
Clinical practice and clinical research has made a concerted effort to move beyond the use of clinical indicators alone and embrace patient focused care through the use of patient reported outcomes such as health-related quality of life. However, unless patients give consistent consideration to the health states that give meaning to measurement scales used to evaluate these constructs, longitudinal comparison of these measures may be invalid. This study aimed to investigate whether patients give consideration to a standard health state rating scale (EQ-VAS) and whether consideration of good and poor health state descriptors immediately changes their self-report.
A randomised crossover trial was implemented amongst hospitalised older adults (n = 151). Patients were asked to consider descriptions of extremely good (Description-A) and poor (Description-B) health states. The EQ-VAS was administered as a self-report at baseline, after the first descriptors (A or B), then again after the remaining descriptors (B or A respectively). At baseline patients were also asked if they had considered either EQ-VAS anchors.
Overall 106/151 (70%) participants changed their self-evaluation by ≥5 points on the 100 point VAS, with a mean (SD) change of +4.5 (12) points (p < 0.001). A total of 74/151 (49%) participants did not consider the best health VAS anchor, of the 77 who did 59 (77%) thought the good health descriptors were more extreme (better) then they had previously considered. Similarly 85/151 (66%) participants did not consider the worst health anchor of the 66 who did 63 (95%) thought the poor health descriptors were more extreme (worse) then they had previously considered.
Health state self-reports may not be well considered. An immediate significant shift in response can be elicited by exposure to a mere description of an extreme health state despite no actual change in underlying health state occurring. Caution should be exercised in research and clinical settings when interpreting subjective patient reported outcomes that are dependent on brief anchors for meaning.
Australian and New Zealand Clinical Trials Registry (#ACTRN12607000606482)
Url:
DOI: 10.1186/1477-7525-8-146
PubMed: 21126374
PubMed Central: 3014890
Affiliations:
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PMC:3014890Le document en format XML
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<series><title level="j">Health and Quality of Life Outcomes</title>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Clinical practice and clinical research has made a concerted effort to move beyond the use of clinical indicators alone and embrace patient focused care through the use of patient reported outcomes such as health-related quality of life. However, unless patients give consistent consideration to the health states that give meaning to measurement scales used to evaluate these constructs, longitudinal comparison of these measures may be invalid. This study aimed to investigate whether patients give consideration to a standard health state rating scale (EQ-VAS) and whether consideration of good and poor health state descriptors immediately changes their self-report.</p>
</sec>
<sec><title>Methods</title>
<p>A randomised crossover trial was implemented amongst hospitalised older adults (n = 151). Patients were asked to consider descriptions of extremely good (Description-A) and poor (Description-B) health states. The EQ-VAS was administered as a self-report at baseline, after the first descriptors (A or B), then again after the remaining descriptors (B or A respectively). At baseline patients were also asked if they had considered either EQ-VAS anchors.</p>
</sec>
<sec><title>Results</title>
<p>Overall 106/151 (70%) participants changed their self-evaluation by ≥5 points on the 100 point VAS, with a mean (SD) change of +4.5 (12) points (p < 0.001). A total of 74/151 (49%) participants did not consider the best health VAS anchor, of the 77 who did 59 (77%) thought the good health descriptors were more extreme (better) then they had previously considered. Similarly 85/151 (66%) participants did not consider the worst health anchor of the 66 who did 63 (95%) thought the poor health descriptors were more extreme (worse) then they had previously considered.</p>
</sec>
<sec><title>Conclusions</title>
<p>Health state self-reports may not be well considered. An immediate significant shift in response can be elicited by exposure to a mere description of an extreme health state despite no actual change in underlying health state occurring. Caution should be exercised in research and clinical settings when interpreting subjective patient reported outcomes that are dependent on brief anchors for meaning.</p>
</sec>
<sec><title>Trial Registration</title>
<p>Australian and New Zealand Clinical Trials Registry (#ACTRN12607000606482) <ext-link ext-link-type="uri" xlink:href="http://www.anzctr.org.au">http://www.anzctr.org.au</ext-link>
</p>
</sec>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Health Qual Life Outcomes</journal-id>
<journal-title-group><journal-title>Health and Quality of Life Outcomes</journal-title>
</journal-title-group>
<issn pub-type="epub">1477-7525</issn>
<publisher><publisher-name>BioMed Central</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">21126374</article-id>
<article-id pub-id-type="pmc">3014890</article-id>
<article-id pub-id-type="publisher-id">1477-7525-8-146</article-id>
<article-id pub-id-type="doi">10.1186/1477-7525-8-146</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research</subject>
</subj-group>
</article-categories>
<title-group><article-title>Reference bias: presentation of extreme health states prior to eq-vas improves health-related quality of life scores. a randomised cross-over trial</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" corresp="yes" id="A1"><name><surname>McPhail</surname>
<given-names>Steven</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<xref ref-type="aff" rid="I3">3</xref>
<email>steven_mcphail@health.qld.gov.au</email>
</contrib>
<contrib contrib-type="author" id="A2"><name><surname>Beller</surname>
<given-names>Elaine</given-names>
</name>
<xref ref-type="aff" rid="I4">4</xref>
<email>ebeller@bond.edu.au</email>
</contrib>
<contrib contrib-type="author" id="A3"><name><surname>Haines</surname>
<given-names>Terry</given-names>
</name>
<xref ref-type="aff" rid="I2">2</xref>
<xref ref-type="aff" rid="I5">5</xref>
<xref ref-type="aff" rid="I6">6</xref>
<email>terrence.haines@med.monash.edu.au</email>
</contrib>
</contrib-group>
<aff id="I1"><label>1</label>
Centre for Functioning and Health Research, Ipswich Road, Woolloongabba, Queensland, Australia</aff>
<aff id="I2"><label>2</label>
The University of Queensland, School of Health and Rehabilitation Sciences, St Lucia, Queensland, Australia</aff>
<aff id="I3"><label>3</label>
Queensland University of Technology, School of Public Health and Institute of Health and Biomedical Innovation, Kelvin Grove, Australia</aff>
<aff id="I4"><label>4</label>
Bond University, Centre for Research in Evidence-Based Practice, Gold Coast, Queensland, Australia</aff>
<aff id="I5"><label>5</label>
Southern Health, Allied Health Research Unit, Kingston Centre, Cnr Warrigal and Kingston Roads, Cheltenham, Victoria, Australia</aff>
<aff id="I6"><label>6</label>
Monash University, Physiotherapy Department, School of Primary Health Care, Monash University Peninsular Campus, Victoria, Australia</aff>
<pub-date pub-type="collection"><year>2010</year>
</pub-date>
<pub-date pub-type="epub"><day>2</day>
<month>12</month>
<year>2010</year>
</pub-date>
<volume>8</volume>
<fpage>146</fpage>
<lpage>146</lpage>
<history><date date-type="received"><day>30</day>
<month>7</month>
<year>2009</year>
</date>
<date date-type="accepted"><day>2</day>
<month>12</month>
<year>2010</year>
</date>
</history>
<permissions><copyright-statement>Copyright ©2010 McPhail et al; licensee BioMed Central Ltd.</copyright-statement>
<copyright-year>2010</copyright-year>
<copyright-holder>McPhail et al; licensee BioMed Central Ltd.</copyright-holder>
<license license-type="open-access"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.hqlo.com/content/8/1/146"></self-uri>
<abstract><sec><title>Background</title>
<p>Clinical practice and clinical research has made a concerted effort to move beyond the use of clinical indicators alone and embrace patient focused care through the use of patient reported outcomes such as health-related quality of life. However, unless patients give consistent consideration to the health states that give meaning to measurement scales used to evaluate these constructs, longitudinal comparison of these measures may be invalid. This study aimed to investigate whether patients give consideration to a standard health state rating scale (EQ-VAS) and whether consideration of good and poor health state descriptors immediately changes their self-report.</p>
</sec>
<sec><title>Methods</title>
<p>A randomised crossover trial was implemented amongst hospitalised older adults (n = 151). Patients were asked to consider descriptions of extremely good (Description-A) and poor (Description-B) health states. The EQ-VAS was administered as a self-report at baseline, after the first descriptors (A or B), then again after the remaining descriptors (B or A respectively). At baseline patients were also asked if they had considered either EQ-VAS anchors.</p>
</sec>
<sec><title>Results</title>
<p>Overall 106/151 (70%) participants changed their self-evaluation by ≥5 points on the 100 point VAS, with a mean (SD) change of +4.5 (12) points (p < 0.001). A total of 74/151 (49%) participants did not consider the best health VAS anchor, of the 77 who did 59 (77%) thought the good health descriptors were more extreme (better) then they had previously considered. Similarly 85/151 (66%) participants did not consider the worst health anchor of the 66 who did 63 (95%) thought the poor health descriptors were more extreme (worse) then they had previously considered.</p>
</sec>
<sec><title>Conclusions</title>
<p>Health state self-reports may not be well considered. An immediate significant shift in response can be elicited by exposure to a mere description of an extreme health state despite no actual change in underlying health state occurring. Caution should be exercised in research and clinical settings when interpreting subjective patient reported outcomes that are dependent on brief anchors for meaning.</p>
</sec>
<sec><title>Trial Registration</title>
<p>Australian and New Zealand Clinical Trials Registry (#ACTRN12607000606482) <ext-link ext-link-type="uri" xlink:href="http://www.anzctr.org.au">http://www.anzctr.org.au</ext-link>
</p>
</sec>
</abstract>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>Australie</li>
</country>
</list>
<tree><country name="Australie"><noRegion><name sortKey="Mcphail, Steven" sort="Mcphail, Steven" uniqKey="Mcphail S" first="Steven" last="Mcphail">Steven Mcphail</name>
</noRegion>
<name sortKey="Beller, Elaine" sort="Beller, Elaine" uniqKey="Beller E" first="Elaine" last="Beller">Elaine Beller</name>
<name sortKey="Haines, Terry" sort="Haines, Terry" uniqKey="Haines T" first="Terry" last="Haines">Terry Haines</name>
<name sortKey="Haines, Terry" sort="Haines, Terry" uniqKey="Haines T" first="Terry" last="Haines">Terry Haines</name>
<name sortKey="Haines, Terry" sort="Haines, Terry" uniqKey="Haines T" first="Terry" last="Haines">Terry Haines</name>
<name sortKey="Mcphail, Steven" sort="Mcphail, Steven" uniqKey="Mcphail S" first="Steven" last="Mcphail">Steven Mcphail</name>
<name sortKey="Mcphail, Steven" sort="Mcphail, Steven" uniqKey="Mcphail S" first="Steven" last="Mcphail">Steven Mcphail</name>
</country>
</tree>
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