Identifying health-related quality of life cut-off scores that indicate the need for supportive care in young adults with cancer
Purpose Using patient-reported outcomes in routine cancer care may improve health outcomes. However, a lack of information about which scores are problematic in specific populations can impede use. To facilitate interpretation of the European Organisation for Research and Treatment of Cancer Core Qu...
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Veröffentlicht in: | Quality of life research 2022-09, Vol.31 (9), p.2717-2727 |
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creator | Lidington, Emma Giesinger, Johannes M. Janssen, Silvie H. M. Tang, Suzanne Beardsworth, Sam Darlington, Anne-Sophie Starling, Naureen Szucs, Zoltan Gonzalez, Michael Sharma, Anand Sirohi, Bhawna van der Graaf, Winette T. A. Husson, Olga |
description | Purpose
Using patient-reported outcomes in routine cancer care may improve health outcomes. However, a lack of information about which scores are problematic in specific populations can impede use. To facilitate interpretation of the European Organisation for Research and Treatment of Cancer Core Questionnaire (EORTC QLQ-C30), we identified cut-off scores that indicate need for support by comparing each scale to relevant items from the Supportive Care Needs Survey (SCNS-LF59) in a young adult (YA) population.
Methods
We conducted a cross-sectional survey amongst YAs with cancer ages 25–39 at diagnosis. Participants completed the EORTC QLQ-C30 and SCNS-LF59. Patient, clinician and research experts matched supportive care needs from the SCNS-LF59 to quality of life domains of the EORTC QLQ-C30. We evaluated the EORTC QLQ-C30 domain score’s ability to detect patients with need using receiver operator characteristic (ROC) analysis, calculating the area under the ROC curve and sensitivity and specificity for selected cut-offs. Cut-offs were chosen by maximising Youden’s J statistic and ensuring sensitivity passed 0.70. Sensitivity analyses were conducted to examine the variability of the cut-off scores by treatment status.
Results
Three hundred and forty-seven YAs took part in the survey. Six experts matched SCNS-LF59 items to ten EORTC QLQ-C30 domains. The AUC ranged from 0.78 to 0.87. Cut-offs selected ranged from 8 (Nausea and Vomiting and Pain) to 97 (Physical Functioning). All had adequate sensitivity (above 0.70) except the Financial Difficulties scale (0.64). Specificity ranged from 0.61 to 0.88. Four of the cut-off scores differed by treatment status.
Conclusion
Cut-offs with adequate sensitivity were calculated for nine EORTC QLQ-C30 scales for use with YAs with cancer. Cut-offs are key to interpretability and use of the EORTC QLQ-C30 in routine care to identify patients with supportive care need. |
doi_str_mv | 10.1007/s11136-022-03139-6 |
format | Article |
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Using patient-reported outcomes in routine cancer care may improve health outcomes. However, a lack of information about which scores are problematic in specific populations can impede use. To facilitate interpretation of the European Organisation for Research and Treatment of Cancer Core Questionnaire (EORTC QLQ-C30), we identified cut-off scores that indicate need for support by comparing each scale to relevant items from the Supportive Care Needs Survey (SCNS-LF59) in a young adult (YA) population.
Methods
We conducted a cross-sectional survey amongst YAs with cancer ages 25–39 at diagnosis. Participants completed the EORTC QLQ-C30 and SCNS-LF59. Patient, clinician and research experts matched supportive care needs from the SCNS-LF59 to quality of life domains of the EORTC QLQ-C30. We evaluated the EORTC QLQ-C30 domain score’s ability to detect patients with need using receiver operator characteristic (ROC) analysis, calculating the area under the ROC curve and sensitivity and specificity for selected cut-offs. Cut-offs were chosen by maximising Youden’s J statistic and ensuring sensitivity passed 0.70. Sensitivity analyses were conducted to examine the variability of the cut-off scores by treatment status.
Results
Three hundred and forty-seven YAs took part in the survey. Six experts matched SCNS-LF59 items to ten EORTC QLQ-C30 domains. The AUC ranged from 0.78 to 0.87. Cut-offs selected ranged from 8 (Nausea and Vomiting and Pain) to 97 (Physical Functioning). All had adequate sensitivity (above 0.70) except the Financial Difficulties scale (0.64). Specificity ranged from 0.61 to 0.88. Four of the cut-off scores differed by treatment status.
Conclusion
Cut-offs with adequate sensitivity were calculated for nine EORTC QLQ-C30 scales for use with YAs with cancer. Cut-offs are key to interpretability and use of the EORTC QLQ-C30 in routine care to identify patients with supportive care need.</description><identifier>ISSN: 0962-9343</identifier><identifier>EISSN: 1573-2649</identifier><identifier>DOI: 10.1007/s11136-022-03139-6</identifier><identifier>PMID: 35476170</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Cancer ; Medicine ; Medicine & Public Health ; Palliative care ; Public Health ; Quality of life ; Quality of Life Research ; Sociology ; Young adults</subject><ispartof>Quality of life research, 2022-09, Vol.31 (9), p.2717-2727</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c528t-13e405d6d09d9c415201d6a3be60f3965685affbfedcc768a0dda0b61ce5ee973</citedby><cites>FETCH-LOGICAL-c528t-13e405d6d09d9c415201d6a3be60f3965685affbfedcc768a0dda0b61ce5ee973</cites><orcidid>0000-0001-6176-8054 ; 0000-0002-1387-8686</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11136-022-03139-6$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11136-022-03139-6$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35476170$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lidington, Emma</creatorcontrib><creatorcontrib>Giesinger, Johannes M.</creatorcontrib><creatorcontrib>Janssen, Silvie H. M.</creatorcontrib><creatorcontrib>Tang, Suzanne</creatorcontrib><creatorcontrib>Beardsworth, Sam</creatorcontrib><creatorcontrib>Darlington, Anne-Sophie</creatorcontrib><creatorcontrib>Starling, Naureen</creatorcontrib><creatorcontrib>Szucs, Zoltan</creatorcontrib><creatorcontrib>Gonzalez, Michael</creatorcontrib><creatorcontrib>Sharma, Anand</creatorcontrib><creatorcontrib>Sirohi, Bhawna</creatorcontrib><creatorcontrib>van der Graaf, Winette T. A.</creatorcontrib><creatorcontrib>Husson, Olga</creatorcontrib><title>Identifying health-related quality of life cut-off scores that indicate the need for supportive care in young adults with cancer</title><title>Quality of life research</title><addtitle>Qual Life Res</addtitle><addtitle>Qual Life Res</addtitle><description>Purpose
Using patient-reported outcomes in routine cancer care may improve health outcomes. However, a lack of information about which scores are problematic in specific populations can impede use. To facilitate interpretation of the European Organisation for Research and Treatment of Cancer Core Questionnaire (EORTC QLQ-C30), we identified cut-off scores that indicate need for support by comparing each scale to relevant items from the Supportive Care Needs Survey (SCNS-LF59) in a young adult (YA) population.
Methods
We conducted a cross-sectional survey amongst YAs with cancer ages 25–39 at diagnosis. Participants completed the EORTC QLQ-C30 and SCNS-LF59. Patient, clinician and research experts matched supportive care needs from the SCNS-LF59 to quality of life domains of the EORTC QLQ-C30. We evaluated the EORTC QLQ-C30 domain score’s ability to detect patients with need using receiver operator characteristic (ROC) analysis, calculating the area under the ROC curve and sensitivity and specificity for selected cut-offs. Cut-offs were chosen by maximising Youden’s J statistic and ensuring sensitivity passed 0.70. Sensitivity analyses were conducted to examine the variability of the cut-off scores by treatment status.
Results
Three hundred and forty-seven YAs took part in the survey. Six experts matched SCNS-LF59 items to ten EORTC QLQ-C30 domains. The AUC ranged from 0.78 to 0.87. Cut-offs selected ranged from 8 (Nausea and Vomiting and Pain) to 97 (Physical Functioning). All had adequate sensitivity (above 0.70) except the Financial Difficulties scale (0.64). Specificity ranged from 0.61 to 0.88. Four of the cut-off scores differed by treatment status.
Conclusion
Cut-offs with adequate sensitivity were calculated for nine EORTC QLQ-C30 scales for use with YAs with cancer. Cut-offs are key to interpretability and use of the EORTC QLQ-C30 in routine care to identify patients with supportive care need.</description><subject>Cancer</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Palliative care</subject><subject>Public Health</subject><subject>Quality of life</subject><subject>Quality of Life Research</subject><subject>Sociology</subject><subject>Young adults</subject><issn>0962-9343</issn><issn>1573-2649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kTtvFDEUhS0EIkvgD1AgSzRpDH7MeNYNEooIRIpEA7Xlta93HM2ON7YnaDt-OjdsCI-CyrLud859HEJeCv5GcD68rUIIpRmXknEllGH6EVmJflBM6s48JitutGRGdeqEPKv1mnO-Nlw-JSeq7wYtBr4i3y8DzC3FQ5q3dAQ3tZEVmFyDQG8WN6V2oDnSKUWgfmksx0irzwUqbaNrNM0heaTxB3QGVMVcaF32-1xaukWRK4AUPeQFO7iwTK3Sb6mNWJk9lOfkSXRThRf37yn5evHhy_kndvX54-X5-yvme7luTCjoeB904CYY34lechG0UxvQPCqje73uXYybCMH7Qa8dD8HxjRYeegAzqFPy7ui7XzY7hHDr4ia7L2nnysFml-zflTmNdptvrVG9NuLO4OzeoOSbBWqzu1Q9TJObIS_VSpxB4omVRPT1P-h1XsqM6yFljJRSGYWUPFK-5FoLxIdhBLd3AdtjwBYDtj8DthpFr_5c40HyK1EE1BGoWJq3UH73_o_tD6SHtDE</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Lidington, Emma</creator><creator>Giesinger, Johannes M.</creator><creator>Janssen, Silvie H. M.</creator><creator>Tang, Suzanne</creator><creator>Beardsworth, Sam</creator><creator>Darlington, Anne-Sophie</creator><creator>Starling, Naureen</creator><creator>Szucs, Zoltan</creator><creator>Gonzalez, Michael</creator><creator>Sharma, Anand</creator><creator>Sirohi, Bhawna</creator><creator>van der Graaf, Winette T. A.</creator><creator>Husson, Olga</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6176-8054</orcidid><orcidid>https://orcid.org/0000-0002-1387-8686</orcidid></search><sort><creationdate>20220901</creationdate><title>Identifying health-related quality of life cut-off scores that indicate the need for supportive care in young adults with cancer</title><author>Lidington, Emma ; Giesinger, Johannes M. ; Janssen, Silvie H. M. ; Tang, Suzanne ; Beardsworth, Sam ; Darlington, Anne-Sophie ; Starling, Naureen ; Szucs, Zoltan ; Gonzalez, Michael ; Sharma, Anand ; Sirohi, Bhawna ; van der Graaf, Winette T. A. ; Husson, Olga</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-13e405d6d09d9c415201d6a3be60f3965685affbfedcc768a0dda0b61ce5ee973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cancer</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Palliative care</topic><topic>Public Health</topic><topic>Quality of life</topic><topic>Quality of Life Research</topic><topic>Sociology</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lidington, Emma</creatorcontrib><creatorcontrib>Giesinger, Johannes M.</creatorcontrib><creatorcontrib>Janssen, Silvie H. M.</creatorcontrib><creatorcontrib>Tang, Suzanne</creatorcontrib><creatorcontrib>Beardsworth, Sam</creatorcontrib><creatorcontrib>Darlington, Anne-Sophie</creatorcontrib><creatorcontrib>Starling, Naureen</creatorcontrib><creatorcontrib>Szucs, Zoltan</creatorcontrib><creatorcontrib>Gonzalez, Michael</creatorcontrib><creatorcontrib>Sharma, Anand</creatorcontrib><creatorcontrib>Sirohi, Bhawna</creatorcontrib><creatorcontrib>van der Graaf, Winette T. A.</creatorcontrib><creatorcontrib>Husson, Olga</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Quality of life research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lidington, Emma</au><au>Giesinger, Johannes M.</au><au>Janssen, Silvie H. M.</au><au>Tang, Suzanne</au><au>Beardsworth, Sam</au><au>Darlington, Anne-Sophie</au><au>Starling, Naureen</au><au>Szucs, Zoltan</au><au>Gonzalez, Michael</au><au>Sharma, Anand</au><au>Sirohi, Bhawna</au><au>van der Graaf, Winette T. A.</au><au>Husson, Olga</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying health-related quality of life cut-off scores that indicate the need for supportive care in young adults with cancer</atitle><jtitle>Quality of life research</jtitle><stitle>Qual Life Res</stitle><addtitle>Qual Life Res</addtitle><date>2022-09-01</date><risdate>2022</risdate><volume>31</volume><issue>9</issue><spage>2717</spage><epage>2727</epage><pages>2717-2727</pages><issn>0962-9343</issn><eissn>1573-2649</eissn><abstract>Purpose
Using patient-reported outcomes in routine cancer care may improve health outcomes. However, a lack of information about which scores are problematic in specific populations can impede use. To facilitate interpretation of the European Organisation for Research and Treatment of Cancer Core Questionnaire (EORTC QLQ-C30), we identified cut-off scores that indicate need for support by comparing each scale to relevant items from the Supportive Care Needs Survey (SCNS-LF59) in a young adult (YA) population.
Methods
We conducted a cross-sectional survey amongst YAs with cancer ages 25–39 at diagnosis. Participants completed the EORTC QLQ-C30 and SCNS-LF59. Patient, clinician and research experts matched supportive care needs from the SCNS-LF59 to quality of life domains of the EORTC QLQ-C30. We evaluated the EORTC QLQ-C30 domain score’s ability to detect patients with need using receiver operator characteristic (ROC) analysis, calculating the area under the ROC curve and sensitivity and specificity for selected cut-offs. Cut-offs were chosen by maximising Youden’s J statistic and ensuring sensitivity passed 0.70. Sensitivity analyses were conducted to examine the variability of the cut-off scores by treatment status.
Results
Three hundred and forty-seven YAs took part in the survey. Six experts matched SCNS-LF59 items to ten EORTC QLQ-C30 domains. The AUC ranged from 0.78 to 0.87. Cut-offs selected ranged from 8 (Nausea and Vomiting and Pain) to 97 (Physical Functioning). All had adequate sensitivity (above 0.70) except the Financial Difficulties scale (0.64). Specificity ranged from 0.61 to 0.88. Four of the cut-off scores differed by treatment status.
Conclusion
Cut-offs with adequate sensitivity were calculated for nine EORTC QLQ-C30 scales for use with YAs with cancer. Cut-offs are key to interpretability and use of the EORTC QLQ-C30 in routine care to identify patients with supportive care need.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35476170</pmid><doi>10.1007/s11136-022-03139-6</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-6176-8054</orcidid><orcidid>https://orcid.org/0000-0002-1387-8686</orcidid><oa>free_for_read</oa></addata></record> |
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source | SpringerLink Journals |
subjects | Cancer Medicine Medicine & Public Health Palliative care Public Health Quality of life Quality of Life Research Sociology Young adults |
title | Identifying health-related quality of life cut-off scores that indicate the need for supportive care in young adults with cancer |
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