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Conference Paper: Predicting SF-6D Preference-based Score based on the European Organization for Treatment and Research of Cancer Quality of Life Questionnaire in colorectal cancer

TitlePredicting SF-6D Preference-based Score based on the European Organization for Treatment and Research of Cancer Quality of Life Questionnaire in colorectal cancer
Authors
KeywordsMedical sciences
Issue Date2012
PublisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0962-9343
Citation
The 19th Annual Conference of the International Society for Quality of Life Research (ISOQOL), Budapest, Hungary, 24-27 October 2012. In Quality of Life Research, 2012, v. 21 suppl. 1, p. 84, abstract no. 2037 How to Cite?
AbstractAIMS: To develop a mapping model for estimating SF-6D preference-based scores from the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core module (QLQ-C30) and Colorectal-specific module (QLQ-CR38/CR29) in patients with colorectal Cancers (CRC), with and without adjustment for clinical and demographic characteristics.; METHODS: Ordinary least squares regression model was applied to the model development using a cross-sectional data of 216 patients with CRC collected from outpatient specialist clinic of a regional hospital in Hong Kong. The items responses or scale scores of QLQ-C30 in conjunction with QLQ-CR38/CR29 data, selected demographic (sex and age) and clinical (cancer stage, treatment completion and presence of stoma) characteristics of patients were used to predict the SF-6D scores. The goodness-of-fit of models were examined by exploratory power (R-square and adjusted R-square), Akaike information (AIC) and Bayesian information criterion (BIC) whereas the predictive performances were evaluated by root mean square error (RMSE), mean absolute error (MAE) and Spearman’s correlation coefficients between predicted and observed SF-6D scores. The models were validated against an independent set of 56 patients with CRC to assess the predictive performance.; RESULTS: Both scale and item response models obtained the variation more than 67 % explained in the SF-6D scores. The model using the main and interaction effects of the QLQC30 item scores in supplemented with QLQ-CR29 item responses plus clinical variable of stoma was chosen as the best-performing mapping model because of having the best fit with the highest R-square of 75.9 %, and good predictive performances with Spearman’s correlation coefficient of 0.871 and low predictive errors (RMSE: 0.079; MAE: 0.062). There was over-prediction for poorer health states at the observed SF-6D scores lying below 0.7 but under-prediction was observed for better health states when SF-6D scores were valued at 0.7 or above.; CONCLUSIONS: SF-6D preference-based scores can be predicted using QLQ-C30 and QLQ-CR38/CR29 scores with satisfactory precision in patients with CRC for appraising clinical interventions in economic evaluations.
DescriptionThis journal suppl. contain abstracts presented at the 19th Annual Conference of the International Society for Quality of Life Research
Conference Theme: The Journey of Quality of Life Research: A Path Towards Personalized Medicine
Utility Measures (Poster Session): no. 2037
Top Scoring Abstract Poster Award
Persistent Identifierhttp://hdl.handle.net/10722/181170
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 1.299
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DC FieldValueLanguage
dc.contributor.authorWong, CKHen_US
dc.contributor.authorLam, CLKen_US
dc.contributor.authorRowen, Den_US
dc.contributor.authorWan, EYFen_US
dc.date.accessioned2013-02-19T11:40:28Z-
dc.date.available2013-02-19T11:40:28Z-
dc.date.issued2012en_US
dc.identifier.citationThe 19th Annual Conference of the International Society for Quality of Life Research (ISOQOL), Budapest, Hungary, 24-27 October 2012. In Quality of Life Research, 2012, v. 21 suppl. 1, p. 84, abstract no. 2037en_US
dc.identifier.issn0962-9343-
dc.identifier.urihttp://hdl.handle.net/10722/181170-
dc.descriptionThis journal suppl. contain abstracts presented at the 19th Annual Conference of the International Society for Quality of Life Research-
dc.descriptionConference Theme: The Journey of Quality of Life Research: A Path Towards Personalized Medicine-
dc.descriptionUtility Measures (Poster Session): no. 2037-
dc.descriptionTop Scoring Abstract Poster Award-
dc.description.abstractAIMS: To develop a mapping model for estimating SF-6D preference-based scores from the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core module (QLQ-C30) and Colorectal-specific module (QLQ-CR38/CR29) in patients with colorectal Cancers (CRC), with and without adjustment for clinical and demographic characteristics.; METHODS: Ordinary least squares regression model was applied to the model development using a cross-sectional data of 216 patients with CRC collected from outpatient specialist clinic of a regional hospital in Hong Kong. The items responses or scale scores of QLQ-C30 in conjunction with QLQ-CR38/CR29 data, selected demographic (sex and age) and clinical (cancer stage, treatment completion and presence of stoma) characteristics of patients were used to predict the SF-6D scores. The goodness-of-fit of models were examined by exploratory power (R-square and adjusted R-square), Akaike information (AIC) and Bayesian information criterion (BIC) whereas the predictive performances were evaluated by root mean square error (RMSE), mean absolute error (MAE) and Spearman’s correlation coefficients between predicted and observed SF-6D scores. The models were validated against an independent set of 56 patients with CRC to assess the predictive performance.; RESULTS: Both scale and item response models obtained the variation more than 67 % explained in the SF-6D scores. The model using the main and interaction effects of the QLQC30 item scores in supplemented with QLQ-CR29 item responses plus clinical variable of stoma was chosen as the best-performing mapping model because of having the best fit with the highest R-square of 75.9 %, and good predictive performances with Spearman’s correlation coefficient of 0.871 and low predictive errors (RMSE: 0.079; MAE: 0.062). There was over-prediction for poorer health states at the observed SF-6D scores lying below 0.7 but under-prediction was observed for better health states when SF-6D scores were valued at 0.7 or above.; CONCLUSIONS: SF-6D preference-based scores can be predicted using QLQ-C30 and QLQ-CR38/CR29 scores with satisfactory precision in patients with CRC for appraising clinical interventions in economic evaluations.-
dc.languageengen_US
dc.publisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0962-9343en_US
dc.relation.ispartofQuality of Life Researchen_US
dc.rightsThe original publication is available at www.springerlink.comen_US
dc.subjectMedical sciences-
dc.titlePredicting SF-6D Preference-based Score based on the European Organization for Treatment and Research of Cancer Quality of Life Questionnaire in colorectal canceren_US
dc.typeConference_Paperen_US
dc.identifier.emailWong, CKH: h0894181@hku.hken_US
dc.identifier.emailLam, CLK: clklam@hku.hken_US
dc.identifier.emailWan, EYF: yfwan@hku.hk-
dc.identifier.authorityLam, CLK=rp00350en_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11136-012-0248-x-
dc.identifier.hkuros213200en_US
dc.identifier.volume21en_US
dc.identifier.issuesuppl. 1en_US
dc.identifier.spage84, abstract no. 2037en_US
dc.identifier.epage84, abstract no. 2037en_US
dc.publisher.placeThe Netherlands-
dc.description.otherThe 19th Annual Conference of the International Society for Quality of Life Research (ISOQOL), Budapest, Hungary, 24-27 October 2012. In Quality of Life Research, 2012, v. 21 suppl. 1, p. 84, abstract no. 2037-
dc.relation.projectA Study on Health-related Quality of Life of patients with Colorectal Neoplasm and Cost-Effectiveness Analysis of Colorectal Cancer Screening in Hong Kong-
dc.identifier.issnl0962-9343-

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