Cancer outcomes measurement
Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COM...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lipscomb, Joseph [verfasserIn] Snyder, Claire F. [verfasserIn] Gotay, Carolyn C. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2006 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Quality of life research - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992, 16(2006), 1 vom: 08. Nov., Seite 143-164 |
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| Übergeordnetes Werk: |
volume:16 ; year:2006 ; number:1 ; day:08 ; month:11 ; pages:143-164 |
| Links: |
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| DOI / URN: |
10.1007/s11136-006-9116-x |
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| Katalog-ID: |
SPR016975901 |
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| 520 | |a Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. | ||
| 650 | 4 | |a Health-related quality of life |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Oncology |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Outcomes research |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Patient-reported outcomes |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Snyder, Claire F. |e verfasserin |4 aut | |
| 700 | 1 | |a Gotay, Carolyn C. |e verfasserin |4 aut | |
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10.1007/s11136-006-9116-x doi (DE-627)SPR016975901 (SPR)s11136-006-9116-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Lipscomb, Joseph verfasserin aut Cancer outcomes measurement 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. Health-related quality of life (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Outcomes research (dpeaa)DE-He213 Patient-reported outcomes (dpeaa)DE-He213 Snyder, Claire F. verfasserin aut Gotay, Carolyn C. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 16(2006), 1 vom: 08. Nov., Seite 143-164 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:16 year:2006 number:1 day:08 month:11 pages:143-164 https://dx.doi.org/10.1007/s11136-006-9116-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 16 2006 1 08 11 143-164 |
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10.1007/s11136-006-9116-x doi (DE-627)SPR016975901 (SPR)s11136-006-9116-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Lipscomb, Joseph verfasserin aut Cancer outcomes measurement 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. Health-related quality of life (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Outcomes research (dpeaa)DE-He213 Patient-reported outcomes (dpeaa)DE-He213 Snyder, Claire F. verfasserin aut Gotay, Carolyn C. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 16(2006), 1 vom: 08. Nov., Seite 143-164 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:16 year:2006 number:1 day:08 month:11 pages:143-164 https://dx.doi.org/10.1007/s11136-006-9116-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 16 2006 1 08 11 143-164 |
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10.1007/s11136-006-9116-x doi (DE-627)SPR016975901 (SPR)s11136-006-9116-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Lipscomb, Joseph verfasserin aut Cancer outcomes measurement 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. Health-related quality of life (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Outcomes research (dpeaa)DE-He213 Patient-reported outcomes (dpeaa)DE-He213 Snyder, Claire F. verfasserin aut Gotay, Carolyn C. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 16(2006), 1 vom: 08. Nov., Seite 143-164 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:16 year:2006 number:1 day:08 month:11 pages:143-164 https://dx.doi.org/10.1007/s11136-006-9116-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 16 2006 1 08 11 143-164 |
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10.1007/s11136-006-9116-x doi (DE-627)SPR016975901 (SPR)s11136-006-9116-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Lipscomb, Joseph verfasserin aut Cancer outcomes measurement 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. Health-related quality of life (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Outcomes research (dpeaa)DE-He213 Patient-reported outcomes (dpeaa)DE-He213 Snyder, Claire F. verfasserin aut Gotay, Carolyn C. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 16(2006), 1 vom: 08. Nov., Seite 143-164 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:16 year:2006 number:1 day:08 month:11 pages:143-164 https://dx.doi.org/10.1007/s11136-006-9116-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 16 2006 1 08 11 143-164 |
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10.1007/s11136-006-9116-x doi (DE-627)SPR016975901 (SPR)s11136-006-9116-x-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Lipscomb, Joseph verfasserin aut Cancer outcomes measurement 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. Health-related quality of life (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Outcomes research (dpeaa)DE-He213 Patient-reported outcomes (dpeaa)DE-He213 Snyder, Claire F. verfasserin aut Gotay, Carolyn C. verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 16(2006), 1 vom: 08. Nov., Seite 143-164 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:16 year:2006 number:1 day:08 month:11 pages:143-164 https://dx.doi.org/10.1007/s11136-006-9116-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 16 2006 1 08 11 143-164 |
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Lipscomb, Joseph @@aut@@ Snyder, Claire F. @@aut@@ Gotay, Carolyn C. @@aut@@ |
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To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. 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Cancer outcomes measurement |
| abstract |
Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. |
| abstractGer |
Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. |
| abstract_unstemmed |
Background: In 2001, the U.S. National Cancer Institute established the Cancer Outcomes Measurement Working Group (COMWG) to evaluate and advance the state of the science in patient-reported outcome (PRO) measurement, with a focus on health-related quality of life (HRQOL). To guide its work, the COMWG adopted the revised Medical Outcomes Trust (MOT) attributes and review criteria for evaluating health status and quality-of-life instruments. Objective: With the MOT attributes providing the organizing principle, this paper summarizes and draws inferences from key COMWG findings about the methodological soundness of HRQOL assessment in cancer and steps required to move the field forward. Results and Conclusions: Across a range of cancer research applications, especially clinical trials, a variety of generic, general cancer, and cancer site-specific measures of HRQOL have demonstrated adequate reliability, validity, responsiveness, feasibility, and cultural and language adaptation. Methodological challenges remain in the interpretability of HRQOL measures, though substantial progress has been made in defining a “minimum important difference” in scale scores. Much work remains in forging a stronger link between the conceptual model and measurement model in HRQOL instrumentation. Progress along all MOT attributes will likely accelerate with the growing application of modern psychometrics, particularly item response theory modeling, which provides the underpinnings for item banking and computer-adaptive assessment of HRQOL. Future research should emphasize prospectively designed studies to evaluate PRO measures within the MOT framework and in-depth investigations of the role of PRO measures in cancer decision making at all levels. |
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Cancer outcomes measurement |
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Snyder, Claire F. Gotay, Carolyn C. |
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10.1007/s11136-006-9116-x |
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| score |
7.398549 |