To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study

Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low...
Ausführliche Beschreibung

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Autor*in:	Ben, Ângela Jornada [verfasserIn] van Dongen, Johanna M. Finch, Aureliano Paolo Alili, Mohamed El Bosmans, Judith E.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Quality of life Methods Cost–benefit analysis EQ-5D

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: The European journal of health economics - Berlin : Springer, 2001, 24(2022), 8 vom: 13. Nov., Seite 1253-1270
Übergeordnetes Werk:	volume:24 ; year:2022 ; number:8 ; day:13 ; month:11 ; pages:1253-1270

Links:	Volltext

DOI / URN:	10.1007/s10198-022-01539-6

Katalog-ID:	SPR053217535

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100	1		\|a Ben, Ângela Jornada \|e verfasserin \|0 (orcid)0000-0003-4793-9026 \|4 aut
245	1	3	\|a To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study
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520			\|a Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions.
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650		4	\|a EQ-5D \|7 (dpeaa)DE-He213
700	1		\|a van Dongen, Johanna M. \|0 (orcid)0000-0002-1606-8742 \|4 aut
700	1		\|a Finch, Aureliano Paolo \|0 (orcid)0000-0003-1438-321X \|4 aut
700	1		\|a Alili, Mohamed El \|0 (orcid)0000-0002-6341-7976 \|4 aut
700	1		\|a Bosmans, Judith E. \|0 (orcid)0000-0002-1443-1026 \|4 aut
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912			\|a GBV_ILN_2061
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author_variant	â j b âj âjb d j m v djm djmv a p f ap apf m e a me mea j e b je jeb
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hierarchy_sort_str	2022
publishDate	2022
allfields	10.1007/s10198-022-01539-6 doi (DE-627)SPR053217535 (SPR)s10198-022-01539-6-e DE-627 ger DE-627 rakwb eng Ben, Ângela Jornada verfasserin (orcid)0000-0003-4793-9026 aut To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions. Quality of life (dpeaa)DE-He213 Methods (dpeaa)DE-He213 Cost–benefit analysis (dpeaa)DE-He213 EQ-5D (dpeaa)DE-He213 van Dongen, Johanna M. (orcid)0000-0002-1606-8742 aut Finch, Aureliano Paolo (orcid)0000-0003-1438-321X aut Alili, Mohamed El (orcid)0000-0002-6341-7976 aut Bosmans, Judith E. (orcid)0000-0002-1443-1026 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2022), 8 vom: 13. Nov., Seite 1253-1270 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:24 year:2022 number:8 day:13 month:11 pages:1253-1270 https://dx.doi.org/10.1007/s10198-022-01539-6 kostenfrei 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_101 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_711 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_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_2118 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_2941 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_4277 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_4328 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 AR 24 2022 8 13 11 1253-1270
spelling	10.1007/s10198-022-01539-6 doi (DE-627)SPR053217535 (SPR)s10198-022-01539-6-e DE-627 ger DE-627 rakwb eng Ben, Ângela Jornada verfasserin (orcid)0000-0003-4793-9026 aut To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions. Quality of life (dpeaa)DE-He213 Methods (dpeaa)DE-He213 Cost–benefit analysis (dpeaa)DE-He213 EQ-5D (dpeaa)DE-He213 van Dongen, Johanna M. (orcid)0000-0002-1606-8742 aut Finch, Aureliano Paolo (orcid)0000-0003-1438-321X aut Alili, Mohamed El (orcid)0000-0002-6341-7976 aut Bosmans, Judith E. (orcid)0000-0002-1443-1026 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2022), 8 vom: 13. Nov., Seite 1253-1270 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:24 year:2022 number:8 day:13 month:11 pages:1253-1270 https://dx.doi.org/10.1007/s10198-022-01539-6 kostenfrei 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_101 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_711 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_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_2118 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_2941 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_4277 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_4328 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 AR 24 2022 8 13 11 1253-1270
allfields_unstemmed	10.1007/s10198-022-01539-6 doi (DE-627)SPR053217535 (SPR)s10198-022-01539-6-e DE-627 ger DE-627 rakwb eng Ben, Ângela Jornada verfasserin (orcid)0000-0003-4793-9026 aut To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions. Quality of life (dpeaa)DE-He213 Methods (dpeaa)DE-He213 Cost–benefit analysis (dpeaa)DE-He213 EQ-5D (dpeaa)DE-He213 van Dongen, Johanna M. (orcid)0000-0002-1606-8742 aut Finch, Aureliano Paolo (orcid)0000-0003-1438-321X aut Alili, Mohamed El (orcid)0000-0002-6341-7976 aut Bosmans, Judith E. (orcid)0000-0002-1443-1026 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2022), 8 vom: 13. Nov., Seite 1253-1270 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:24 year:2022 number:8 day:13 month:11 pages:1253-1270 https://dx.doi.org/10.1007/s10198-022-01539-6 kostenfrei 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_101 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_711 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_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_2118 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_2941 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_4277 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_4328 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 AR 24 2022 8 13 11 1253-1270
allfieldsGer	10.1007/s10198-022-01539-6 doi (DE-627)SPR053217535 (SPR)s10198-022-01539-6-e DE-627 ger DE-627 rakwb eng Ben, Ângela Jornada verfasserin (orcid)0000-0003-4793-9026 aut To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions. Quality of life (dpeaa)DE-He213 Methods (dpeaa)DE-He213 Cost–benefit analysis (dpeaa)DE-He213 EQ-5D (dpeaa)DE-He213 van Dongen, Johanna M. (orcid)0000-0002-1606-8742 aut Finch, Aureliano Paolo (orcid)0000-0003-1438-321X aut Alili, Mohamed El (orcid)0000-0002-6341-7976 aut Bosmans, Judith E. (orcid)0000-0002-1443-1026 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2022), 8 vom: 13. Nov., Seite 1253-1270 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:24 year:2022 number:8 day:13 month:11 pages:1253-1270 https://dx.doi.org/10.1007/s10198-022-01539-6 kostenfrei 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_101 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_711 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_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_2118 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_2941 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_4277 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_4328 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 AR 24 2022 8 13 11 1253-1270
allfieldsSound	10.1007/s10198-022-01539-6 doi (DE-627)SPR053217535 (SPR)s10198-022-01539-6-e DE-627 ger DE-627 rakwb eng Ben, Ângela Jornada verfasserin (orcid)0000-0003-4793-9026 aut To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions. Quality of life (dpeaa)DE-He213 Methods (dpeaa)DE-He213 Cost–benefit analysis (dpeaa)DE-He213 EQ-5D (dpeaa)DE-He213 van Dongen, Johanna M. (orcid)0000-0002-1606-8742 aut Finch, Aureliano Paolo (orcid)0000-0003-1438-321X aut Alili, Mohamed El (orcid)0000-0002-6341-7976 aut Bosmans, Judith E. (orcid)0000-0002-1443-1026 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2022), 8 vom: 13. Nov., Seite 1253-1270 (DE-627)320494462 (DE-600)2011428-X 1618-7601 nnns volume:24 year:2022 number:8 day:13 month:11 pages:1253-1270 https://dx.doi.org/10.1007/s10198-022-01539-6 kostenfrei 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_101 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 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_711 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_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_2118 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_2941 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_4277 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_4328 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 AR 24 2022 8 13 11 1253-1270
language	English
source	Enthalten in The European journal of health economics 24(2022), 8 vom: 13. Nov., Seite 1253-1270 volume:24 year:2022 number:8 day:13 month:11 pages:1253-1270
sourceStr	Enthalten in The European journal of health economics 24(2022), 8 vom: 13. Nov., Seite 1253-1270 volume:24 year:2022 number:8 day:13 month:11 pages:1253-1270
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Quality of life Methods Cost–benefit analysis EQ-5D
isfreeaccess_bool	true
container_title	The European journal of health economics
authorswithroles_txt_mv	Ben, Ângela Jornada @@aut@@ van Dongen, Johanna M. @@aut@@ Finch, Aureliano Paolo @@aut@@ Alili, Mohamed El @@aut@@ Bosmans, Judith E. @@aut@@
publishDateDaySort_date	2022-11-13T00:00:00Z
hierarchy_top_id	320494462
id	SPR053217535
language_de	englisch
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We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). 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author	Ben, Ângela Jornada
spellingShingle	Ben, Ângela Jornada misc Quality of life misc Methods misc Cost–benefit analysis misc EQ-5D To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study
authorStr	Ben, Ângela Jornada
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topic_title	To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study Quality of life (dpeaa)DE-He213 Methods (dpeaa)DE-He213 Cost–benefit analysis (dpeaa)DE-He213 EQ-5D (dpeaa)DE-He213
topic	misc Quality of life misc Methods misc Cost–benefit analysis misc EQ-5D
topic_unstemmed	misc Quality of life misc Methods misc Cost–benefit analysis misc EQ-5D
topic_browse	misc Quality of life misc Methods misc Cost–benefit analysis misc EQ-5D
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title	To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study
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title_full	To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study
author_sort	Ben, Ângela Jornada
journal	The European journal of health economics
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author_browse	Ben, Ângela Jornada van Dongen, Johanna M. Finch, Aureliano Paolo Alili, Mohamed El Bosmans, Judith E.
container_volume	24
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author-letter	Ben, Ângela Jornada
doi_str_mv	10.1007/s10198-022-01539-6
normlink	(ORCID)0000-0003-4793-9026 (ORCID)0000-0002-1606-8742 (ORCID)0000-0003-1438-321X (ORCID)0000-0002-6341-7976 (ORCID)0000-0002-1443-1026
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title_sort	what extent does the use of crosswalks instead of eq-5d value sets impact reimbursement decisions?: a simulation study
title_auth	To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study
abstract	Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions. © The Author(s) 2022
abstractGer	Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions. © The Author(s) 2022
abstract_unstemmed	Purpose Inconsistent results have been found on the impact of using crosswalks versus EQ-5D value sets on reimbursement decisions. We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). Conclusion The use of crosswalks instead of EQ-5D value sets can impact cost–utility outcomes to such an extent that this may influence reimbursement decisions. © The Author(s) 2022
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container_issue	8
title_short	To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study
url	https://dx.doi.org/10.1007/s10198-022-01539-6
remote_bool	true
author2	van Dongen, Johanna M. Finch, Aureliano Paolo Alili, Mohamed El Bosmans, Judith E.
author2Str	van Dongen, Johanna M. Finch, Aureliano Paolo Alili, Mohamed El Bosmans, Judith E.
ppnlink	320494462
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1007/s10198-022-01539-6
up_date	2024-07-03T17:55:05.555Z
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We sought to further investigate this issue in a simulation study. Methods Trial-based economic evaluation data were simulated for different conditions (depression, low back pain, osteoarthritis, cancer), severity levels (mild, moderate, severe), and effect sizes (small, medium, large). For all 36 scenarios, utilities were calculated using 3L and 5L value sets and crosswalks (3L to 5L and 5L to 3L crosswalks) for the Netherlands, the United States, and Japan. Utilities, quality-adjusted life years (QALYs), incremental QALYs, incremental cost-effectiveness ratios (ICERs), and probabilities of cost-effectiveness (pCE) obtained from values sets and crosswalks were compared. Results Differences between value sets and crosswalks ranged from −0.33 to 0.13 for utilities, from −0.18 to 0.13 for QALYs, and from −0.01 to 0.08 for incremental QALYs, resulting in different ICERs. For small effect sizes, at a willingness-to-pay of €20,000/QALY, the largest pCE difference was found for moderate cancer between the Japanese 5L value set and 5L to 3L crosswalk (difference = 0.63). For medium effect sizes, the largest difference was found for mild cancer between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.06). For large effect sizes, the largest difference was found for mild osteoarthritis between the Japanese 3L value set and 3L to 5L crosswalk (difference = 0.08). 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