Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) onto the Assessment of Quality of Life 8D (AQoL-8D) utility scores
Purpose The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is a widely used condition-specific measure of quality of life (QoL) in patients with heart failure. To use information from the MLHFQ in an economic evaluation, the MLHFQ must be mapped onto a preference-based measure of QoL. Thi...
Gespeichert in:
| Veröffentlicht in: | Quality of life research 2020-10, Vol.29 (10), p.2815-2822 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2822 |
|---|---|
| container_issue | 10 |
| container_start_page | 2815 |
| container_title | Quality of life research |
| container_volume | 29 |
| creator | Catchpool, Max Ramchand, Jay Hare, David L. Martyn, Melissa Goranitis, Ilias |
| description | Purpose
The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is a widely used condition-specific measure of quality of life (QoL) in patients with heart failure. To use information from the MLHFQ in an economic evaluation, the MLHFQ must be mapped onto a preference-based measure of QoL. This study aims to develop a mapping algorithm between the MLHFQ and the Assessment of Quality of Life (AQoL) 8D utility instrument in patients with dilated cardiomyopathy (DCM).
Methods
MLHFQ and AQoL-8D data were collected on 61 Australian adults with idiopathic DCM or other non-hypertrophic cardiomyopathies. Three statistical methods were used as follows: ordinary least squares (OLS) regression, the robust MM estimator, and the generalised linear models (GLM). Each included a range of explanatory variables. Model performance was assessed using key goodness-of-fit measures, the mean absolute error (MAE), and the root-mean-square error (RMSE).
Results
The MLHFQ summary score and AQoL-8D utility scores were strongly correlated (
r
= − 0.83,
p
|
| doi_str_mv | 10.1007/s11136-020-02531-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2404644303</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2404644303</sourcerecordid><originalsourceid>FETCH-LOGICAL-c347t-46369b7751e93ab750f7f7c96bb378b7cccc353d19d735ddf612effbd5803c633</originalsourceid><addsrcrecordid>eNp9kcFu3CAQhlHVKtmkeYEeKo6bg1tgMNjHVdLNVvIqWik9I2zjhMgLW8Cp8gZ97OLdtMciIYaZb35p5kfoEyVfKCHya6SUgigII_mWQAv-Di1oKaFggtfv0YLUghU1cDhHFzE-E0KqmrAzdA6MM14RvkC_t_pwsO4RpyeDt9Y5E33SuLEvc_KXTU94Y3RIeK3tOAWDd5OJyXrntM2_5bbZrHfX2LvkjxKrGE2Me-MS9kOG9WjT6xw2djC4usXL1c43RXV7jadkj8XY-WDiR_Rh0GM0V2_vJfqx_vZwsyma-7vvN6um6IDLVHABom6lLKmpQbeyJIMcZFeLtgVZtbLLB0road1LKPt-EJSZYWj7siLQCYBLtDzpHoL_Oc-i9jZ2Zhy1M36KinHCBedAZpSd0C74GIMZ1CHYvQ6vihI1O6BODqjsgDo6oHhu-vymP7V70_9r-bvyDMAJiLnkHk1Qz34KLs_8P9k_xz-Qjg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2404644303</pqid></control><display><type>article</type><title>Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) onto the Assessment of Quality of Life 8D (AQoL-8D) utility scores</title><source>MEDLINE</source><source>JSTOR Archive Collection A-Z Listing</source><source>SpringerLink Journals - AutoHoldings</source><creator>Catchpool, Max ; Ramchand, Jay ; Hare, David L. ; Martyn, Melissa ; Goranitis, Ilias</creator><creatorcontrib>Catchpool, Max ; Ramchand, Jay ; Hare, David L. ; Martyn, Melissa ; Goranitis, Ilias</creatorcontrib><description>Purpose
The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is a widely used condition-specific measure of quality of life (QoL) in patients with heart failure. To use information from the MLHFQ in an economic evaluation, the MLHFQ must be mapped onto a preference-based measure of QoL. This study aims to develop a mapping algorithm between the MLHFQ and the Assessment of Quality of Life (AQoL) 8D utility instrument in patients with dilated cardiomyopathy (DCM).
Methods
MLHFQ and AQoL-8D data were collected on 61 Australian adults with idiopathic DCM or other non-hypertrophic cardiomyopathies. Three statistical methods were used as follows: ordinary least squares (OLS) regression, the robust MM estimator, and the generalised linear models (GLM). Each included a range of explanatory variables. Model performance was assessed using key goodness-of-fit measures, the mean absolute error (MAE), and the root-mean-square error (RMSE).
Results
The MLHFQ summary score and AQoL-8D utility scores were strongly correlated (
r
= − 0.83,
p
< 0.0001) and the two subscales of the MLHFQ were correlated with the eight dimensions of the AQoL-8D. Utility scores were predicted with acceptable precision based on responses to the MLHFQ physical, emotional, social, and other subscales. OLS and GLM performed similarly with MAE and RMSE ranging 0.086–0.106 and 0.114–0.130, respectively.
Conclusion
The mapping algorithm developed in this study allows the derivation of AQoL-8D utilities from MLHFQ scores for use in cost-effectiveness analyses and most importantly, enables the economic evaluation of alternative heart failure therapy options when only the MLHFQ has been collected.</description><identifier>ISSN: 0962-9343</identifier><identifier>EISSN: 1573-2649</identifier><identifier>DOI: 10.1007/s11136-020-02531-4</identifier><identifier>PMID: 32424804</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Algorithms ; Female ; Heart Failure - diagnosis ; Humans ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Minnesota ; Public Health ; Quality of Life - psychology ; Quality of Life Research ; Sociology ; Surveys and Questionnaires</subject><ispartof>Quality of life research, 2020-10, Vol.29 (10), p.2815-2822</ispartof><rights>Springer Nature Switzerland AG 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c347t-46369b7751e93ab750f7f7c96bb378b7cccc353d19d735ddf612effbd5803c633</citedby><cites>FETCH-LOGICAL-c347t-46369b7751e93ab750f7f7c96bb378b7cccc353d19d735ddf612effbd5803c633</cites><orcidid>0000-0001-7946-8324</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/s11136-020-02531-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11136-020-02531-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32424804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Catchpool, Max</creatorcontrib><creatorcontrib>Ramchand, Jay</creatorcontrib><creatorcontrib>Hare, David L.</creatorcontrib><creatorcontrib>Martyn, Melissa</creatorcontrib><creatorcontrib>Goranitis, Ilias</creatorcontrib><title>Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) onto the Assessment of Quality of Life 8D (AQoL-8D) utility scores</title><title>Quality of life research</title><addtitle>Qual Life Res</addtitle><addtitle>Qual Life Res</addtitle><description>Purpose
The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is a widely used condition-specific measure of quality of life (QoL) in patients with heart failure. To use information from the MLHFQ in an economic evaluation, the MLHFQ must be mapped onto a preference-based measure of QoL. This study aims to develop a mapping algorithm between the MLHFQ and the Assessment of Quality of Life (AQoL) 8D utility instrument in patients with dilated cardiomyopathy (DCM).
Methods
MLHFQ and AQoL-8D data were collected on 61 Australian adults with idiopathic DCM or other non-hypertrophic cardiomyopathies. Three statistical methods were used as follows: ordinary least squares (OLS) regression, the robust MM estimator, and the generalised linear models (GLM). Each included a range of explanatory variables. Model performance was assessed using key goodness-of-fit measures, the mean absolute error (MAE), and the root-mean-square error (RMSE).
Results
The MLHFQ summary score and AQoL-8D utility scores were strongly correlated (
r
= − 0.83,
p
< 0.0001) and the two subscales of the MLHFQ were correlated with the eight dimensions of the AQoL-8D. Utility scores were predicted with acceptable precision based on responses to the MLHFQ physical, emotional, social, and other subscales. OLS and GLM performed similarly with MAE and RMSE ranging 0.086–0.106 and 0.114–0.130, respectively.
Conclusion
The mapping algorithm developed in this study allows the derivation of AQoL-8D utilities from MLHFQ scores for use in cost-effectiveness analyses and most importantly, enables the economic evaluation of alternative heart failure therapy options when only the MLHFQ has been collected.</description><subject>Algorithms</subject><subject>Female</subject><subject>Heart Failure - diagnosis</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Minnesota</subject><subject>Public Health</subject><subject>Quality of Life - psychology</subject><subject>Quality of Life Research</subject><subject>Sociology</subject><subject>Surveys and Questionnaires</subject><issn>0962-9343</issn><issn>1573-2649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFu3CAQhlHVKtmkeYEeKo6bg1tgMNjHVdLNVvIqWik9I2zjhMgLW8Cp8gZ97OLdtMciIYaZb35p5kfoEyVfKCHya6SUgigII_mWQAv-Di1oKaFggtfv0YLUghU1cDhHFzE-E0KqmrAzdA6MM14RvkC_t_pwsO4RpyeDt9Y5E33SuLEvc_KXTU94Y3RIeK3tOAWDd5OJyXrntM2_5bbZrHfX2LvkjxKrGE2Me-MS9kOG9WjT6xw2djC4usXL1c43RXV7jadkj8XY-WDiR_Rh0GM0V2_vJfqx_vZwsyma-7vvN6um6IDLVHABom6lLKmpQbeyJIMcZFeLtgVZtbLLB0road1LKPt-EJSZYWj7siLQCYBLtDzpHoL_Oc-i9jZ2Zhy1M36KinHCBedAZpSd0C74GIMZ1CHYvQ6vihI1O6BODqjsgDo6oHhu-vymP7V70_9r-bvyDMAJiLnkHk1Qz34KLs_8P9k_xz-Qjg</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Catchpool, Max</creator><creator>Ramchand, Jay</creator><creator>Hare, David L.</creator><creator>Martyn, Melissa</creator><creator>Goranitis, Ilias</creator><general>Springer International Publishing</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7946-8324</orcidid></search><sort><creationdate>20201001</creationdate><title>Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) onto the Assessment of Quality of Life 8D (AQoL-8D) utility scores</title><author>Catchpool, Max ; Ramchand, Jay ; Hare, David L. ; Martyn, Melissa ; Goranitis, Ilias</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-46369b7751e93ab750f7f7c96bb378b7cccc353d19d735ddf612effbd5803c633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Female</topic><topic>Heart Failure - diagnosis</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Minnesota</topic><topic>Public Health</topic><topic>Quality of Life - psychology</topic><topic>Quality of Life Research</topic><topic>Sociology</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Catchpool, Max</creatorcontrib><creatorcontrib>Ramchand, Jay</creatorcontrib><creatorcontrib>Hare, David L.</creatorcontrib><creatorcontrib>Martyn, Melissa</creatorcontrib><creatorcontrib>Goranitis, Ilias</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Quality of life research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Catchpool, Max</au><au>Ramchand, Jay</au><au>Hare, David L.</au><au>Martyn, Melissa</au><au>Goranitis, Ilias</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) onto the Assessment of Quality of Life 8D (AQoL-8D) utility scores</atitle><jtitle>Quality of life research</jtitle><stitle>Qual Life Res</stitle><addtitle>Qual Life Res</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>29</volume><issue>10</issue><spage>2815</spage><epage>2822</epage><pages>2815-2822</pages><issn>0962-9343</issn><eissn>1573-2649</eissn><abstract>Purpose
The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is a widely used condition-specific measure of quality of life (QoL) in patients with heart failure. To use information from the MLHFQ in an economic evaluation, the MLHFQ must be mapped onto a preference-based measure of QoL. This study aims to develop a mapping algorithm between the MLHFQ and the Assessment of Quality of Life (AQoL) 8D utility instrument in patients with dilated cardiomyopathy (DCM).
Methods
MLHFQ and AQoL-8D data were collected on 61 Australian adults with idiopathic DCM or other non-hypertrophic cardiomyopathies. Three statistical methods were used as follows: ordinary least squares (OLS) regression, the robust MM estimator, and the generalised linear models (GLM). Each included a range of explanatory variables. Model performance was assessed using key goodness-of-fit measures, the mean absolute error (MAE), and the root-mean-square error (RMSE).
Results
The MLHFQ summary score and AQoL-8D utility scores were strongly correlated (
r
= − 0.83,
p
< 0.0001) and the two subscales of the MLHFQ were correlated with the eight dimensions of the AQoL-8D. Utility scores were predicted with acceptable precision based on responses to the MLHFQ physical, emotional, social, and other subscales. OLS and GLM performed similarly with MAE and RMSE ranging 0.086–0.106 and 0.114–0.130, respectively.
Conclusion
The mapping algorithm developed in this study allows the derivation of AQoL-8D utilities from MLHFQ scores for use in cost-effectiveness analyses and most importantly, enables the economic evaluation of alternative heart failure therapy options when only the MLHFQ has been collected.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32424804</pmid><doi>10.1007/s11136-020-02531-4</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-7946-8324</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0962-9343 |
| ispartof | Quality of life research, 2020-10, Vol.29 (10), p.2815-2822 |
| issn | 0962-9343 1573-2649 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2404644303 |
| source | MEDLINE; JSTOR Archive Collection A-Z Listing; SpringerLink Journals - AutoHoldings |
| subjects | Algorithms Female Heart Failure - diagnosis Humans Male Medicine Medicine & Public Health Middle Aged Minnesota Public Health Quality of Life - psychology Quality of Life Research Sociology Surveys and Questionnaires |
| title | Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) onto the Assessment of Quality of Life 8D (AQoL-8D) utility scores |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T00%3A46%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mapping%20the%20Minnesota%20Living%20with%20Heart%20Failure%20Questionnaire%20(MLHFQ)%20onto%20the%20Assessment%20of%20Quality%20of%20Life%208D%20(AQoL-8D)%20utility%20scores&rft.jtitle=Quality%20of%20life%20research&rft.au=Catchpool,%20Max&rft.date=2020-10-01&rft.volume=29&rft.issue=10&rft.spage=2815&rft.epage=2822&rft.pages=2815-2822&rft.issn=0962-9343&rft.eissn=1573-2649&rft_id=info:doi/10.1007/s11136-020-02531-4&rft_dat=%3Cproquest_cross%3E2404644303%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2404644303&rft_id=info:pmid/32424804&rfr_iscdi=true |