Health system choice

Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discre...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Scuffham, Paul A. [verfasserIn] Whitty, Jennifer A. [verfasserIn] Taylor, Matthew [verfasserIn] Saxby, Ruth C. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2010

Schlagwörter:	Health System Categorical Attribute Patient Choice Preference Weight Mixed Logit

Übergeordnetes Werk:	Enthalten in: Applied health economics and health policy - [S.l.] : Springer International, 2004, 8(2010), 2 vom: März, Seite 89-97
Übergeordnetes Werk:	volume:8 ; year:2010 ; number:2 ; month:03 ; pages:89-97

Links:	Volltext

DOI / URN:	10.2165/11531170-000000000-00000

Katalog-ID:	SPR032969686

Internformat


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520			\|a Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported.
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912			\|a GBV_ILN_2113
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allfields	10.2165/11531170-000000000-00000 doi (DE-627)SPR032969686 (SPR)11531170-000000000-00000-e DE-627 ger DE-627 rakwb eng 610 ASE Scuffham, Paul A. verfasserin aut Health system choice 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported. Health System (dpeaa)DE-He213 Categorical Attribute (dpeaa)DE-He213 Patient Choice (dpeaa)DE-He213 Preference Weight (dpeaa)DE-He213 Mixed Logit (dpeaa)DE-He213 Whitty, Jennifer A. verfasserin aut Taylor, Matthew verfasserin aut Saxby, Ruth C. verfasserin aut Enthalten in Applied health economics and health policy [S.l.] : Springer International, 2004 8(2010), 2 vom: März, Seite 89-97 (DE-627)481906118 (DE-600)2180637-8 1179-1896 nnns volume:8 year:2010 number:2 month:03 pages:89-97 https://dx.doi.org/10.2165/11531170-000000000-00000 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2548 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_4393 GBV_ILN_4700 AR 8 2010 2 03 89-97
spelling	10.2165/11531170-000000000-00000 doi (DE-627)SPR032969686 (SPR)11531170-000000000-00000-e DE-627 ger DE-627 rakwb eng 610 ASE Scuffham, Paul A. verfasserin aut Health system choice 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported. Health System (dpeaa)DE-He213 Categorical Attribute (dpeaa)DE-He213 Patient Choice (dpeaa)DE-He213 Preference Weight (dpeaa)DE-He213 Mixed Logit (dpeaa)DE-He213 Whitty, Jennifer A. verfasserin aut Taylor, Matthew verfasserin aut Saxby, Ruth C. verfasserin aut Enthalten in Applied health economics and health policy [S.l.] : Springer International, 2004 8(2010), 2 vom: März, Seite 89-97 (DE-627)481906118 (DE-600)2180637-8 1179-1896 nnns volume:8 year:2010 number:2 month:03 pages:89-97 https://dx.doi.org/10.2165/11531170-000000000-00000 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2548 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_4393 GBV_ILN_4700 AR 8 2010 2 03 89-97
allfields_unstemmed	10.2165/11531170-000000000-00000 doi (DE-627)SPR032969686 (SPR)11531170-000000000-00000-e DE-627 ger DE-627 rakwb eng 610 ASE Scuffham, Paul A. verfasserin aut Health system choice 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported. Health System (dpeaa)DE-He213 Categorical Attribute (dpeaa)DE-He213 Patient Choice (dpeaa)DE-He213 Preference Weight (dpeaa)DE-He213 Mixed Logit (dpeaa)DE-He213 Whitty, Jennifer A. verfasserin aut Taylor, Matthew verfasserin aut Saxby, Ruth C. verfasserin aut Enthalten in Applied health economics and health policy [S.l.] : Springer International, 2004 8(2010), 2 vom: März, Seite 89-97 (DE-627)481906118 (DE-600)2180637-8 1179-1896 nnns volume:8 year:2010 number:2 month:03 pages:89-97 https://dx.doi.org/10.2165/11531170-000000000-00000 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2548 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_4393 GBV_ILN_4700 AR 8 2010 2 03 89-97
allfieldsGer	10.2165/11531170-000000000-00000 doi (DE-627)SPR032969686 (SPR)11531170-000000000-00000-e DE-627 ger DE-627 rakwb eng 610 ASE Scuffham, Paul A. verfasserin aut Health system choice 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported. Health System (dpeaa)DE-He213 Categorical Attribute (dpeaa)DE-He213 Patient Choice (dpeaa)DE-He213 Preference Weight (dpeaa)DE-He213 Mixed Logit (dpeaa)DE-He213 Whitty, Jennifer A. verfasserin aut Taylor, Matthew verfasserin aut Saxby, Ruth C. verfasserin aut Enthalten in Applied health economics and health policy [S.l.] : Springer International, 2004 8(2010), 2 vom: März, Seite 89-97 (DE-627)481906118 (DE-600)2180637-8 1179-1896 nnns volume:8 year:2010 number:2 month:03 pages:89-97 https://dx.doi.org/10.2165/11531170-000000000-00000 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2548 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_4393 GBV_ILN_4700 AR 8 2010 2 03 89-97
allfieldsSound	10.2165/11531170-000000000-00000 doi (DE-627)SPR032969686 (SPR)11531170-000000000-00000-e DE-627 ger DE-627 rakwb eng 610 ASE Scuffham, Paul A. verfasserin aut Health system choice 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported. Health System (dpeaa)DE-He213 Categorical Attribute (dpeaa)DE-He213 Patient Choice (dpeaa)DE-He213 Preference Weight (dpeaa)DE-He213 Mixed Logit (dpeaa)DE-He213 Whitty, Jennifer A. verfasserin aut Taylor, Matthew verfasserin aut Saxby, Ruth C. verfasserin aut Enthalten in Applied health economics and health policy [S.l.] : Springer International, 2004 8(2010), 2 vom: März, Seite 89-97 (DE-627)481906118 (DE-600)2180637-8 1179-1896 nnns volume:8 year:2010 number:2 month:03 pages:89-97 https://dx.doi.org/10.2165/11531170-000000000-00000 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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_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_2548 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_4393 GBV_ILN_4700 AR 8 2010 2 03 89-97
language	English
source	Enthalten in Applied health economics and health policy 8(2010), 2 vom: März, Seite 89-97 volume:8 year:2010 number:2 month:03 pages:89-97
sourceStr	Enthalten in Applied health economics and health policy 8(2010), 2 vom: März, Seite 89-97 volume:8 year:2010 number:2 month:03 pages:89-97
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Health System Categorical Attribute Patient Choice Preference Weight Mixed Logit
dewey-raw	610
isfreeaccess_bool	false
container_title	Applied health economics and health policy
authorswithroles_txt_mv	Scuffham, Paul A. @@aut@@ Whitty, Jennifer A. @@aut@@ Taylor, Matthew @@aut@@ Saxby, Ruth C. @@aut@@
publishDateDaySort_date	2010-03-01T00:00:00Z
hierarchy_top_id	481906118
dewey-sort	3610
id	SPR032969686
language_de	englisch
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author	Scuffham, Paul A.
spellingShingle	Scuffham, Paul A. ddc 610 misc Health System misc Categorical Attribute misc Patient Choice misc Preference Weight misc Mixed Logit Health system choice
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topic_title	610 ASE Health system choice Health System (dpeaa)DE-He213 Categorical Attribute (dpeaa)DE-He213 Patient Choice (dpeaa)DE-He213 Preference Weight (dpeaa)DE-He213 Mixed Logit (dpeaa)DE-He213
topic	ddc 610 misc Health System misc Categorical Attribute misc Patient Choice misc Preference Weight misc Mixed Logit
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title	Health system choice
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title_full	Health system choice
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title_sort	health system choice
title_auth	Health system choice
abstract	Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported.
abstractGer	Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported.
abstract_unstemmed	Abstract Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported.
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title_short	Health system choice
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up_date	2024-07-03T15:46:56.591Z
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The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n=50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. 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