Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo
This thesis addresses utility measure in order to quantify the Health Index. This item is a necessary input for the health economics assessment, and is treated as a multi criteria decision-making –MCDM- issue. This work proposes a methodology with hybrid methods that combine the Hierarchical Analyti...
- Autores:
-
Vásquez Velásquez, Johanna
- Tipo de recurso:
- Informe
- Fecha de publicación:
- 2019
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- Universidad Nacional de Colombia
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- Universidad Nacional de Colombia
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- spa
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- Palabra clave:
- Toma de decisiones
Health Status Assessment
Health Index
Decision making
Multicriteria Decision Analysis
Evaluación de Estado de Salud
Índice de Salud
Toma de decisiones
Análisis de Decisión Multicriterio
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- Atribución-NoComercial-SinDerivadas 4.0 Internacional
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Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo |
| title |
Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo |
| spellingShingle |
Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo Toma de decisiones Health Status Assessment Health Index Decision making Multicriteria Decision Analysis Evaluación de Estado de Salud Índice de Salud Toma de decisiones Análisis de Decisión Multicriterio |
| title_short |
Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo |
| title_full |
Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo |
| title_fullStr |
Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo |
| title_full_unstemmed |
Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo |
| title_sort |
Propuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuo |
| dc.creator.fl_str_mv |
Vásquez Velásquez, Johanna |
| dc.contributor.advisor.spa.fl_str_mv |
Botero Botero, Sergio |
| dc.contributor.author.spa.fl_str_mv |
Vásquez Velásquez, Johanna |
| dc.contributor.researchgroup.spa.fl_str_mv |
Modelamiento y Análisis: Energía, Ambiente, Economía –MAEAE- |
| dc.subject.ddc.spa.fl_str_mv |
Toma de decisiones |
| topic |
Toma de decisiones Health Status Assessment Health Index Decision making Multicriteria Decision Analysis Evaluación de Estado de Salud Índice de Salud Toma de decisiones Análisis de Decisión Multicriterio |
| dc.subject.proposal.eng.fl_str_mv |
Health Status Assessment Health Index Decision making Multicriteria Decision Analysis |
| dc.subject.proposal.spa.fl_str_mv |
Evaluación de Estado de Salud Índice de Salud Toma de decisiones Análisis de Decisión Multicriterio |
| description |
This thesis addresses utility measure in order to quantify the Health Index. This item is a necessary input for the health economics assessment, and is treated as a multi criteria decision-making –MCDM- issue. This work proposes a methodology with hybrid methods that combine the Hierarchical Analytical Process -AHP- , AHP extended by D-numbers and fuzzy AHP -FAHP- with the Technique for Order of Preference by Similarity to Ideal Solution -TOPSIS- in order to elicit preferences and measure the Health Index. Theoretical and methodological grounds are obtained through a systematic meta-narrative review on theories, concepts and methods, as well as an analysis of the regulatory system and techniques applied in Colombia for health technology and economics assessment. In order to implement the proposed methodology, an empirical study is carried out with data collection fieldwork using the EQ-5D-5 international survey, incorporating sociodemographic questions and the pairwise comparisons matrix for health dimensions. The EQ-VT protocol to obtain preferences by composite time trade off -cTTO- and the visual analog scale -VAS- for individual perception about health status are used. Weights for the several health states were obtained using the proposed hybrid methods, cTTO and VAS. Then a comparison is made using quality adjusted life years -QALYS-, weights and the hierarchical structure of the health dimensions. This exercise shows that there are methods with little complex mathematical algorithms that produce consistent results and adjust adequately to the utilities. These methods do not require long processes and training costs to the interviewers and can be applied to specific populations that have been treated by different health programs. In addition they make it possible to eliminate bias imposed by duration in better and worse states of health, and they preserve ordinal preferences expressed in consistent comparison matrices, which allows preserving the range in a strong way. |
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2019 |
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2019-09-30 |
| dc.date.accessioned.spa.fl_str_mv |
2020-02-24T19:58:05Z |
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2020-02-24T19:58:05Z |
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Reporte |
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info:eu-repo/semantics/report |
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APA |
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https://repositorio.unal.edu.co/handle/unal/75707 |
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Arellano, M. (1993). On the testing of correlated effects with panel data. Journal of econometrics, 59(1-2), 87-97. . Arrow, K. J. (1950). A difficulty in the concept of social welfare. Journal of Political Economy, 58(4):328-346. Attema, A. E., Krol, M., van Exel, J., & Brouwer, W. B. (2018). New findings from the time trade-off for income approach to elicit willingness to pay for a quality adjusted life year. The European Journal of Health Economics, 19(2), 277-291. Attema, A. E., Versteegh, M. M., Oppe, M., Brouwer, W. B., & Stolk, E. A. (2013). Lead time TTO: leading to better health state valuations?. Health economics, 22(4), 376-392. Azar, F., (2000). Multiattribute Decision-Making: Use of Three Scoring Methods to Compare the Performance of Imaging Techniques for Breast Cancer Detection. University of Pennsylvania. Technical Report . Baltussen, R., Stolk, E., Chisholm, D. et al., (2006). Towards a multicriteria approach for priority setting: an application to Ghana, Health Econ. (15) (2006) 689–696. Barceló, R. A. V., & España, J. L. N. (2018). Estado de salud de los colombianos: una aplicación del eq-5d-3l. Archivos de Medicina (Col), 18(1), 134-145 Bekker‐Grob, E. W., Ryan, M., & Gerard, K. (2012). Discrete choice experiments in health economics: a review of the literature. Health economics, 21(2), 145-172. . Belton, V., Stewart, T.J. Multiple Criteria Decision Analysis: An Integrated Approach, Academic Publishers, Kluwer, Boston, 2002 Bleichrodt, H,. Van Rijn, J., y Johannesson, M. (1999). Probability Weighting and Utility Curvature in QALY-Based Decision Making. Journal of Mathematical Psychology 43(2), pp. 238-260. Bleichrodt, H., Wakker, P. P., y Johannesson, M. (1997). Characterizing QALYs by risk neutrality. Journal of Risk and Uncertainty, 15, pp. 107-114. Bleichrodt, H., y Quiggin, J. (1997). Characterizing QALYs under a general rank dependent utility model. Journal of Risk and Uncertainty, 15, pp. 151-165. . Brazier, J., Ara, R., Rowen, D., & Chevrou-Severac, H. (2017). A review of generic preference-based measures for use in cost-effectiveness models. Pharmacoeconomics, 35(1), 21-31. . Busschbach, J. J., McDonnell, J., Essink-Bot, M. L., & van Hout, B. A. (1999). Estimating parametric relationships between health description and health valuation with an application to the EuroQol EQ-5D. Journal of Health Economics, 18(5), 551-571. . Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655. Chicaíza, L., García Molina, M., & Romano, G. (2013). Años de vida ajustados por calidad: evolución, fundamentos e implicaciones (Quality Adjusted Life Years: Evolution Fundamentals and Implications) Danner, M., Vennedey, V., Hiligsmann, M., Fauser, S., Gross, C., & Stock, S. (2017). Comparing analytic hierarchy process and discrete-choice experiment to elicit patient preferences for treatment characteristics in age-related macular degeneration. Value in Health, 20(8), 1166-1173 Dintsios, C. M., Chernyak, N., Grehl, B., & Icks, A. (2018). Quantified patient preferences for lifestyle intervention programs for diabetes prevention—a protocol for a systematic review. Systematic reviews, 7(1), 214 Dolan, P y Stalmeier, P. F. (2003). The validity of time trade-off values in calculating QALYs: constant proportional time trade-off versus the proportional heuristic. Journal of Health Economics. 22(3), pp. 445–458 Dolan, P., Gudex, C., Kind, P., y Williams, A. (1996). Valuing Health States: A Comparison of Methods. Journal of Health Economis.15(2), pp. 209-31. Dyer J.S. MAUT – Multiattribute Utility Theory Chapter 7. In Multiple Criteria Decision Analysis: State of the Art Surveys, 265-292. 2005. Springer. Ferrari M.D., et al (2005). The use of multiattribute decision models in evaluating triptan treatment options in migraine. Journal of Neurology. Volume 252, Issue 9, pp 1026-1032 Furlong W, Feeny D, Torrance GW, et al (1990). Guide to Design and Development of Health-State Utility Instrumentation. Hamilton, Ontario: McMaster University Centre for Health Economics and Policy Analysis, CHEPA Working Paper 90-9. Goetghebeur, M., Wagner, M., Khoury, H., Rindress, D., Grégoire, J-P., y Deal, C. (2010). Combining multicriteria decision analysis, ethics and health technology assessment: applying the EVIDEM decisionmaking framework to growth hormone for Turner syndrome patients. Cost Effectiveness and Resource Allocation, 8:8:4 Greco, S., Pereira, R. A. M., Squillante, M., & Yager, R. R. (Eds.). (2010). Preferences and decisions: models and applications (Vol. 257). Springer. Hazen, B,. (2007). Adding Extrinsic Goals to the Quality-Adjusted Life Year Model. Decision Analysis. 4( 1), pp. 3-16. James C. Bezdek, ed., CRC Press (1987). Belief functions and possibility measures. The Analysis of Fuzzy Information, Vol. 1: Mathematics and Logic, pp. 51-84. Kisch, Arnold I. et . al . (1969). "A New Proxy Measure for Health Status " , Health Services Research, Volume 4, Number 3, Fall , pp . 223 – 230 König, H. H., Bernert, S., Angermeyer, M. C., Matschinger, H., Martinez, M., Vilagut, G., ... & Alonso, J. (2009). Comparison of population health status in six european countries: results of a representative survey using the EQ-5D questionnaire. Medical care, 255- 261. 2. Lee, A. H., Hung, M. C., Kang, H. Y., & Pearn, W. L. (2012). A wind turbine evaluation model under a multi-criteria decision making environment. Energy Conversion and Management, 64, 289-300 Martínez, A., & Ríos, F. (2006). Los conceptos de conocimiento, epistemología y paradigma, como base diferencial en la orientación metodológica del trabajo de grado.Cinta de Moebio. Revista de Epistemología de Ciencias Sociales, (25). Martínez, A., & Ríos, F. (2006). Los conceptos de conocimiento, epistemología y paradigma, como base diferencial en la orientación metodológica del trabajo de grado.Cinta de Moebio. Revista de Epistemología de Ciencias Sociales, (25). Ramos-Goñi, J. M., Pinto-Prades, J. L., Oppe, M., Cabasés, J. M., Serrano-Aguilar, P., & Rivero-Arias, O. (2017). Valuation and modeling of EQ-5D-5L health states using a hybrid approach.Medical care, 55(7), e51-e58. Ryen, L., Svensson, MIKA. (2014). The willingness to pay for a quality adjusted life year: a review of the empirical literature. Health Economics. Saaty, T.L., (1990). How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48, 9–26. Saaty, T.L., (2004). Fundamentals of the analytic network process—multiple networks with benefits, costs, opportunities and risks. J. Syst. Sci. Syst. Eng. 13, 348– 379 Torrance, G.W., y Tsevat, J. (2001). What should be reported in a methods section on utility assessment? Medical Decision Making. 21(3), pp. 200-207. Torrance, GW. (1976b). Toward a Utility Theory Foundation for Health Status Index Models. Health Services Research. 14(11), pp. 349-369 Tversky, A., y Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases Biases in judgments reveal some heuristics of thinking under uncertainty. Science. New Series.185(4157), pp. 1124-1131. Valencia Cardona, L. (2014) Selección de iluminación sostenible mediante análisis multicriterio Tesis Maestría en Ingeniería de la Organización, Facultad de Minas, Universidad Nacional de Colombia Sede Medellín Wan, S. P., & Dong, J. Y. (2014). Possibility linear programming with trapezoidal fuzzy numbers. Applied Mathematical Modelling, 38(5-6), 1660-1672. Xie, F., Pullenayegum, E., Gaebel, K., Bansback, N., Bryan, S., Ohinmaa, A., ... & Johnson, J. A. (2016). How different are composite and traditional TTO valuations of severe EQ-5D-5L states?. Quality of Life Research, 25(8), 2101-2108. Zeckhauser, Richard J., and Donald Shepard. (1976). Where Now for Saving Lives. Law and Contemporary Problems. 40(4), pp. 5-45. Zhuo, L., Xu, L., Ye, J., Sun, S., Zhang, Y., Burstrom, K., & Chen, J. (2018). Time Trade-Off Value Set for EQ-5D-3L Based on a Nationally Representative Chinese Population Survey. Value in Health. |
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Atribución-NoComercial-SinDerivadas 4.0 InternacionalDerechos reservados - Universidad Nacional de ColombiaAcceso abiertohttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Botero Botero, Sergioc1b34fab-305b-41c2-9270-3115a0d75021-1Vásquez Velásquez, Johanna9b192266-924d-4c52-ad24-41f9a9501974Modelamiento y Análisis: Energía, Ambiente, Economía –MAEAE-2020-02-24T19:58:05Z2020-02-24T19:58:05Z2019-09-30APAhttps://repositorio.unal.edu.co/handle/unal/75707This thesis addresses utility measure in order to quantify the Health Index. This item is a necessary input for the health economics assessment, and is treated as a multi criteria decision-making –MCDM- issue. This work proposes a methodology with hybrid methods that combine the Hierarchical Analytical Process -AHP- , AHP extended by D-numbers and fuzzy AHP -FAHP- with the Technique for Order of Preference by Similarity to Ideal Solution -TOPSIS- in order to elicit preferences and measure the Health Index. Theoretical and methodological grounds are obtained through a systematic meta-narrative review on theories, concepts and methods, as well as an analysis of the regulatory system and techniques applied in Colombia for health technology and economics assessment. In order to implement the proposed methodology, an empirical study is carried out with data collection fieldwork using the EQ-5D-5 international survey, incorporating sociodemographic questions and the pairwise comparisons matrix for health dimensions. The EQ-VT protocol to obtain preferences by composite time trade off -cTTO- and the visual analog scale -VAS- for individual perception about health status are used. Weights for the several health states were obtained using the proposed hybrid methods, cTTO and VAS. Then a comparison is made using quality adjusted life years -QALYS-, weights and the hierarchical structure of the health dimensions. This exercise shows that there are methods with little complex mathematical algorithms that produce consistent results and adjust adequately to the utilities. These methods do not require long processes and training costs to the interviewers and can be applied to specific populations that have been treated by different health programs. In addition they make it possible to eliminate bias imposed by duration in better and worse states of health, and they preserve ordinal preferences expressed in consistent comparison matrices, which allows preserving the range in a strong way.Esta tesis se enmarca en el problema de derivación de utilidades para la determinación del índice de salud, insumo necesario en la evaluación de tecnología sanitaria, estudiado como un problema de toma de decisiones con múltiples criterios –MCDM-. En este trabajo se describe e implementa una propuesta metodológica que combina el Proceso Analítico Jerárquico -AHP- simple, extendido por D-números –DAHP- y difuso –FAHP- con la Técnica de Ordenación de Preferencias por Similitud a la Ideal -TOPSIS- para la obtención de preferencias y cálculo del índice de salud. La fundamentación teórica y metodológica se construye a partir de una revisión sistemática meta-narrativa de las teorías, conceptos y métodos, además de un análisis de la normatividad y técnicas aplicadas en Colombia para la evaluación económica y de tecnología sanitaria. Para implementar la metodología propuesta se lleva a cabo un estudio empírico con levantamiento de datos en campo mediante la aplicación del cuestionario internacional EQ-5D-5L, al que se incorporan preguntas de tipo sociodemográfico y la matriz de comparación pareada para las dimensiones de salud contempladas en la encuesta y se utiliza el protocolo EQ-VT para el levantamiento de preferencias por intercambio temporal compuesto –cTTO- y escala visual análoga –VAS-. Los pesos para los diferentes estados de salud se obtienen utilizando los métodos híbridos propuestos, cTTO y VAS haciendo una comparación en cuanto al número de años de vida ajustados por calidad –QALYS- generados en los escenarios estudiados, el vector de pesos y la estructura jerárquica de las dimensiones de salud. Con este ejercicio se prueba que existen métodos simples de operar en campo, con algoritmos matemáticos poco complejos que producen resultados consistentes y se ajustan de forma adecuada a la obtención de utilidades, no requieren procesos largos y costos de entrenamiento a los encuestadores y pueden aplicarse a poblaciones específicas e intervenidas por diferentes programas de salud, permiten eliminar el sesgo que impone la duración temporal en estados de salud mejores y peores a la muerte y preservan las preferencias ordinales expresadas en matrices de comparación consistentes, lo que permite preservar el rango de forma fuerte.Doctorado en Ingeniería – Industria y OrganizacionesDoctorado172application/pdfspaToma de decisionesHealth Status AssessmentHealth IndexDecision makingMulticriteria Decision AnalysisEvaluación de Estado de SaludÍndice de SaludToma de decisionesAnálisis de Decisión MulticriterioPropuesta y aplicación metodológica para el cálculo del índice de salud a partir de la percepción y su acercamiento a la situación real del individuoReporteinfo:eu-repo/semantics/reportinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_93fcTexthttp://purl.org/redcol/resource_type/ARTCASODepartamento de Ingeniería de la OrganizaciónUniversidad Nacional de Colombia - Sede MedellínArellano, M. (1993). On the testing of correlated effects with panel data. Journal of econometrics, 59(1-2), 87-97.. Arrow, K. J. (1950). A difficulty in the concept of social welfare. Journal of Political Economy, 58(4):328-346.Attema, A. E., Krol, M., van Exel, J., & Brouwer, W. B. (2018). New findings from the time trade-off for income approach to elicit willingness to pay for a quality adjusted life year. The European Journal of Health Economics, 19(2), 277-291.Attema, A. E., Versteegh, M. M., Oppe, M., Brouwer, W. B., & Stolk, E. A. (2013). Lead time TTO: leading to better health state valuations?. Health economics, 22(4), 376-392.Azar, F., (2000). Multiattribute Decision-Making: Use of Three Scoring Methods to Compare the Performance of Imaging Techniques for Breast Cancer Detection. University of Pennsylvania. Technical Report. Baltussen, R., Stolk, E., Chisholm, D. et al., (2006). Towards a multicriteria approach for priority setting: an application to Ghana, Health Econ. (15) (2006) 689–696.Barceló, R. A. V., & España, J. L. N. (2018). Estado de salud de los colombianos: una aplicación del eq-5d-3l. Archivos de Medicina (Col), 18(1), 134-145Bekker‐Grob, E. W., Ryan, M., & Gerard, K. (2012). Discrete choice experiments in health economics: a review of the literature. Health economics, 21(2), 145-172.. Belton, V., Stewart, T.J. Multiple Criteria Decision Analysis: An Integrated Approach, Academic Publishers, Kluwer, Boston, 2002Bleichrodt, H,. Van Rijn, J., y Johannesson, M. (1999). Probability Weighting and Utility Curvature in QALY-Based Decision Making. Journal of Mathematical Psychology 43(2), pp. 238-260.Bleichrodt, H., Wakker, P. P., y Johannesson, M. (1997). Characterizing QALYs by risk neutrality. Journal of Risk and Uncertainty, 15, pp. 107-114.Bleichrodt, H., y Quiggin, J. (1997). Characterizing QALYs under a general rank dependent utility model. Journal of Risk and Uncertainty, 15, pp. 151-165.. Brazier, J., Ara, R., Rowen, D., & Chevrou-Severac, H. (2017). A review of generic preference-based measures for use in cost-effectiveness models. Pharmacoeconomics, 35(1), 21-31.. Busschbach, J. J., McDonnell, J., Essink-Bot, M. L., & van Hout, B. A. (1999). Estimating parametric relationships between health description and health valuation with an application to the EuroQol EQ-5D. Journal of Health Economics, 18(5), 551-571.. Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655.Chicaíza, L., García Molina, M., & Romano, G. (2013). Años de vida ajustados por calidad: evolución, fundamentos e implicaciones (Quality Adjusted Life Years: Evolution Fundamentals and Implications)Danner, M., Vennedey, V., Hiligsmann, M., Fauser, S., Gross, C., & Stock, S. (2017). Comparing analytic hierarchy process and discrete-choice experiment to elicit patient preferences for treatment characteristics in age-related macular degeneration. Value in Health, 20(8), 1166-1173Dintsios, C. M., Chernyak, N., Grehl, B., & Icks, A. (2018). Quantified patient preferences for lifestyle intervention programs for diabetes prevention—a protocol for a systematic review. Systematic reviews, 7(1), 214Dolan, P y Stalmeier, P. F. (2003). The validity of time trade-off values in calculating QALYs: constant proportional time trade-off versus the proportional heuristic. Journal of Health Economics. 22(3), pp. 445–458Dolan, P., Gudex, C., Kind, P., y Williams, A. (1996). Valuing Health States: A Comparison of Methods. Journal of Health Economis.15(2), pp. 209-31.Dyer J.S. MAUT – Multiattribute Utility Theory Chapter 7. In Multiple Criteria Decision Analysis: State of the Art Surveys, 265-292. 2005. Springer.Ferrari M.D., et al (2005). The use of multiattribute decision models in evaluating triptan treatment options in migraine. Journal of Neurology. Volume 252, Issue 9, pp 1026-1032Furlong W, Feeny D, Torrance GW, et al (1990). Guide to Design and Development of Health-State Utility Instrumentation. Hamilton, Ontario: McMaster University Centre for Health Economics and Policy Analysis, CHEPA Working Paper 90-9.Goetghebeur, M., Wagner, M., Khoury, H., Rindress, D., Grégoire, J-P., y Deal, C. (2010). Combining multicriteria decision analysis, ethics and health technology assessment: applying the EVIDEM decisionmaking framework to growth hormone for Turner syndrome patients. Cost Effectiveness and Resource Allocation, 8:8:4Greco, S., Pereira, R. A. M., Squillante, M., & Yager, R. R. (Eds.). (2010). Preferences and decisions: models and applications (Vol. 257). Springer.Hazen, B,. (2007). Adding Extrinsic Goals to the Quality-Adjusted Life Year Model. Decision Analysis. 4( 1), pp. 3-16.James C. 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