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Hausman DM. Proxy Preferences and the Values of Children's Health States. PHARMACOECONOMICS 2024:10.1007/s40273-024-01415-6. [PMID: 39039378 DOI: 10.1007/s40273-024-01415-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/04/2024] [Indexed: 07/24/2024]
Abstract
To assign values to the health states of children, some health economists have suggested relying on the 'proxy' preferences among the health states of children expressed by a random sample of the adult population. These preferences have been elicited in several ways, with respondents sometimes asked to express their (adult) preferences among the health states of children, and sometimes asked to imagine themselves as children and to express what they think their preferences would be. This essay discusses three grounds for eliciting the preferences of a random sample of adults that have been suggested as ways to assign values to the health states in the EQ-5D-Y, and criticizes the first two: (1) the evidential ground: the preferences of the population sample are good evidence of how good or bad the health states of children are; (2) the 'taxpayer' ground: the adult population has the authority to assign values to health states, therefore their preferences are determinative; and (3) the pragmatic grounds: surveying is straightforward and shifts the responsibility from health economists to the population. I argue that instead of surveying a random sample of the population, health economists should rely on deliberative groups that include older children, experts on children's health and development, as well as members of the population at large. These groups should engage with the reasons that lie behind preferences among health states.
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Affiliation(s)
- Daniel M Hausman
- Rutgers University, Center for Population-Level Bioethics, 112 Paterson Street, Rm 400, New Brunswick, NJ, 08901, USA.
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Espirito Santo CM, Miyamoto GC, Santos VS, Ben ÂJ, Finch AP, Roudijk B, de Jesus-Moraleida FR, Stein AT, Santos M, Yamato TP. Estimating an EQ-5D-Y-3L Value Set for Brazil. PHARMACOECONOMICS 2024:10.1007/s40273-024-01404-9. [PMID: 38954389 DOI: 10.1007/s40273-024-01404-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 07/04/2024]
Abstract
INTRODUCTION The EQ-5D-Y-3L is a generic measure of health-related quality of life in children and adolescents. Although the Brazilian-Portuguese EQ-5D-Y-3L version is available, there is no value set for it, hampering its use in economic evaluations. This study aimed to elicit a Brazilian EQ-5D-Y-3L value set based on preferences of the general adult population. METHODS Two independent samples of adults participated in an online discrete choice experiment (DCE) survey and a composite time trade-off (cTTO) face-to-face interview. The framing was "considering your views for a 10-year-old child". DCE data were analyzed using a mixed-logit model. The 243 DCE predicted values were mapped into the observed 28 cTTO values using linear and non-linear mapping approaches with and without intercept. Mapping approaches' performance was assessed to estimate the most valid method to rescale DCE predicted values using the model fit (R2), Akaike Information Criteria (AIC), root mean squared error (RMSE), and mean absolute error (MAE). RESULTS A representative sample of 1376 Brazilian adults participated (DCE, 1152; cTTO, 211). The linear mapping without intercept (R2 = 96%; AIC, - 44; RMSE, 0.0803; MAE, - 0.0479) outperformed the non-linear without intercept (R2 = 98%; AIC, - 63; RMSE, 0.1385; MAE, - 0.1320). Utilities ranged from 1 (full health) to - 0.0059 (the worst health state). Highest weights were assigned to having pain or discomfort (pain/discomfort), followed by walking about (mobility), looking after myself (self-care), doing usual activities (usual activities), and feeling worried, sad, or unhappy (anxiety/depression). CONCLUSION This study elicited the Brazilian EQ-5D-Y-3L value set using a mixed-logit DCE model with a power parameter based on a linear mapping without intercept, which can be used to estimate the quality-adjusted life-years for economic evaluations of health technologies targeting the Brazilian youth population.
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Affiliation(s)
- Caique Melo Espirito Santo
- Master's and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, Rua Cesário Galeno, 448/475, Tatuapé, São Paulo, 03071-000, Brazil
| | - Gisela Cristiane Miyamoto
- Master's and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, Rua Cesário Galeno, 448/475, Tatuapé, São Paulo, 03071-000, Brazil
| | - Verônica Souza Santos
- Master's and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, Rua Cesário Galeno, 448/475, Tatuapé, São Paulo, 03071-000, Brazil
| | - Ângela Jornada Ben
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Bram Roudijk
- EuroQol Research Foundation, Rotterdam, The Netherlands
| | | | - Airton Tetelbom Stein
- Department of Public Health, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Marisa Santos
- Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil
| | - Tiê Parma Yamato
- Master's and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, Rua Cesário Galeno, 448/475, Tatuapé, São Paulo, 03071-000, Brazil.
- Faculty of Medicine and Health, School of Health Sciences, The University of Sydney, Sydney, Australia.
- Nepean Blue Mountains Local Health District, Penrith, NSW, Australia.
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Lang Z, Attema AE, Lipman SA. The effect of duration and time preference on the gap between adult and child health state valuations in time trade-off. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2024; 25:601-613. [PMID: 37420133 PMCID: PMC11136812 DOI: 10.1007/s10198-023-01612-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 06/16/2023] [Indexed: 07/09/2023]
Abstract
Composite time trade-off (cTTO) utilities have been found to be higher when adults value health states for children than for themselves. It is not clear if these differences reflect adults assigning truly higher utilities to the same health state in different perspectives, or if they are caused by other factors, which are not accounted for in the valuation procedure. We test if the difference between children's and adults' cTTO valuations changes if a longer duration than the standard 10 years is used. Personal interviews with a representative sample of 151 adults in the UK were conducted. We employed the cTTO method to estimate utilities of four different health states, where adults considered states both from their own and a 10-year-old child's perspective, for durations of 10 and 20 years. We corrected the cTTO valuations for perspective-specific time preferences in a separate task, again for both perspectives. We replicate the finding that cTTO utilities are higher for the child perspective than for the adult perspective, although the difference is only significant when controlling for other variables in a mixed effects regression. Time preferences are close to 0 on average, and smaller for children than adults. After correcting TTO utilities for time preferences, the effect of perspective is no longer significant. No differences were found for cTTO tasks completed with a 10- or 20-year duration. Our results suggest that the child-adult gap is partially related to differences in time preferences and, hence, that correcting cTTO utilities for these preferences could be useful.
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Affiliation(s)
- Zhongyu Lang
- Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus School of Health Policy and Management (ESHPM), Erasmus University, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.
| | - Arthur E Attema
- Erasmus School of Health Policy and Management, Erasmus University, Rotterdam, The Netherlands
- Erasmus Centre for Health Economics Rotterdam, Rotterdam, The Netherlands
| | - Stefan A Lipman
- Erasmus School of Health Policy and Management, Erasmus University, Rotterdam, The Netherlands
- Erasmus Centre for Health Economics Rotterdam, Rotterdam, The Netherlands
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Huang L, Devlin N, Chen G, Dalziel K. A happiness approach to valuing health states for children. Soc Sci Med 2024; 348:116802. [PMID: 38537454 DOI: 10.1016/j.socscimed.2024.116802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 03/14/2024] [Accepted: 03/18/2024] [Indexed: 04/29/2024]
Abstract
Preference weights are widely used to score generic health states into utility indexes for estimation of quality adjusted life years (QALYs) and to aid health care funding decisions. To date, health state utilities are predominantly derived using stated preference methods based on decision utility. This paper tests an alternative and generates preference weights using experienced utility for children based on the Child Health Utility 9D (CHU9D) descriptive system. We estimate the relative values of the CHU9D health states with regard to experienced utility, where experienced utility is approximated by self-reported happiness. A nationally-representative longitudinal survey was used including 6090 Australian children aged 12-17 years surveyed over 2014-2018. The derived weights were then applied to calculate the utility decrements for a few common child health conditions. We found that the estimated utility decrements are largely similar to those estimated using the published CHU9D Australian adolescent weights based on decision utility, except for pain and depression. A smaller utility decrement for pain and a larger utility decrement for depression were indicated by experienced utility. We contribute to the literature by showing that using experienced utility methods to generate preference weights for health states is possible, and we discuss some important methodological challenges for future studies such as the impracticability of anchoring to 'dead' when utilizing experienced utility.
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Affiliation(s)
- Li Huang
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Nancy Devlin
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Gang Chen
- Centre for Health Economics, Monash Business School, Monash University, Melbourne, Australia
| | - Kim Dalziel
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
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Lipman SA, Reckers-Droog VT. Comparing heuristic valuation processes between health state valuation from child and adult perspectives. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2024:10.1007/s10198-023-01668-6. [PMID: 38308719 DOI: 10.1007/s10198-023-01668-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 12/21/2023] [Indexed: 02/05/2024]
Abstract
OBJECTIVES Health state valuation assumes that respondents trade off between all aspects of choice tasks and maximize their utility. Yet, respondents may use heuristic valuation processes, i.e., strategies to simplify or avoid the trade-offs that are core to health state valuation. The objective of this study is to explore if heuristic valuation processes are more prevalent for valuation from a 10-year-old child's perspective compared to the use of an adult perspective. METHODS We reused existing data in which EQ-5D health states were valued from adult and child perspectives with composite time trade-off (cTTO) and discrete choice experiment (DCE) tasks. Our analyses focused on comparing completion time and responding patterns across both perspectives. We also explored how reflective of a set of heuristic strategies respondents' choices were in both perspectives. RESULTS We found no evidence for systematic differences in completion time across perspectives. Generally, we find different responding patterns in child perspectives, e.g., more speeding, dominance violations, and clustering of utilities at 1.0, 0.8, and 0. Very few heuristic strategies provide a coherent explanation for the observed DCE responses. CONCLUSION Our results provide some, albeit indirect, evidence for differences in heuristic valuation processes between perspectives, although not across all data sources. Potential effects of heuristic valuation processes, such as transfer of responsibility, may be identified through studying responding patterns in cTTO and DCE responses.
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Affiliation(s)
- Stefan A Lipman
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
- Erasmus Centre for Health Economics Research Rotterdam, Erasmus University Rotterdam, Rotterdam, The Netherlands.
| | - Vivian T Reckers-Droog
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Erasmus Centre for Health Economics Research Rotterdam, Erasmus University Rotterdam, Rotterdam, The Netherlands
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Devlin NJ, Pan T, Sculpher M, Jit M, Stolk E, Rowen D, van Hout B, Norman R. Using Age-Specific Values for Pediatric HRQoL in Cost-Effectiveness Analysis: Is There a Problem to Be Solved? If So, How? PHARMACOECONOMICS 2023; 41:1165-1174. [PMID: 37439998 PMCID: PMC10492668 DOI: 10.1007/s40273-023-01300-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/21/2023] [Indexed: 07/14/2023]
Abstract
Value sets for the EQ-5D-Y-3L published to date appear to have distinctive characteristics compared with value sets for corresponding adult instruments: in many cases, the value for the worst health state is higher and there are fewer values < 0. The aim of this paper is to consider how and why values for child and adult health differ; and what the implications of that are for the use of EQ-5D-Y-3L values in economic evaluations to inform healthcare resource allocation decisions. We posit four potential explanations for the differences in values: (a) The wording of severity labels may mean the worst problems on the EQ-5D-Y-3L are descriptively less severe than those on the EQ-5D-5L; (b) Adults may genuinely consider that children are less badly affected than adults by descriptively similar health issues. That is, for any given health problem, adult respondents in valuation studies consider children's overall health-related quality of life (HRQoL) on average to be higher than that for adults; (c) Values are being sought by eliciting adults' stated preferences for HRQoL in another person, rather than in themselves (regardless of whether the 'other person' concerned is a child); and (d) The need to elicit preferences for child HRQoL that are anchored at dead = 0 invokes special considerations regarding children's survival. Existing evidence does not rule out the possibility that (c) and (d) exert an upward bias in values. We consider the implications of that for the interpretation and use of values for pediatric HRQoL. Alternative methods for valuing children's HRQoL in a manner that is not 'age specific' are possible and may help to avoid issues of non-comparability. Use of these methods would place the onus on health technology assessment bodies to reflect any special considerations regarding child quality-adjusted life-year gains.
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Affiliation(s)
- Nancy J Devlin
- Health Economics Unit, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC, 3010, Australia.
| | - Tianxin Pan
- Health Economics Unit, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC, 3010, Australia
| | - Mark Sculpher
- Centre for Health Economics, University of York, York, UK
| | - Mark Jit
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Elly Stolk
- EuroQol Research Foundation, Rotterdam, Rotterdam, The Netherlands
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Donna Rowen
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Barend van Hout
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Richard Norman
- School of Population Health, Curtin University, Perth, WA, Australia
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Devlin N, Roudijk B, Viney R, Stolk E. EQ-5D-Y-3L Value Sets, Valuation Methods and Conceptual Questions. PHARMACOECONOMICS 2022; 40:123-127. [PMID: 36504378 PMCID: PMC9758242 DOI: 10.1007/s40273-022-01226-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 11/16/2022] [Indexed: 06/17/2023]
Affiliation(s)
- Nancy Devlin
- Health Economics Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
| | - Bram Roudijk
- CHERE, University of Technology Sydney, Sydney, Australia
| | - Rosalie Viney
- Scientific Team, EuroQol Research Foundation, Rotterdam, The Netherlands
| | - Elly Stolk
- CHERE, University of Technology Sydney, Sydney, Australia
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Yang Z, Jiang J, Wang P, Jin X, Wu J, Fang Y, Feng D, Xi X, Li S, Jing M, Zheng B, Huang W, Luo N. Estimating an EQ-5D-Y-3L Value Set for China. PHARMACOECONOMICS 2022; 40:147-155. [PMID: 36396878 PMCID: PMC9758244 DOI: 10.1007/s40273-022-01216-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/01/2022] [Indexed: 05/08/2023]
Abstract
INTRODUCTION The standard EQ-5D-Y-3L valuation protocol applies DCE data as the primary preference source to model the relative importance of dimensions while cTTO data served to anchor the DCE coefficients onto the QALY scale. This study aims to estimate an EQ-5D-Y-3L value set for China following this protocol, but with a larger cTTO design to better understand the role of cTTO data in estimating EQ-5D-Y-3L value sets. METHODS In total, 150 choice sets and 28 EQ-5D-Y-3L health states were valued using DCE and cTTO methods with two independent samples, respectively. General public from 14 different regions were recruited using quota sampling method to achieve representativeness. We compared two modelling strategies: (1) fit the DCE data with mixed logit model with correlated coefficients and a subsequent mapping procedure for anchoring; (2) fit the DCE and TTO data jointly in a hybrid model. Two evaluation criteria (1) coefficient significance and monotonicity; (2) prediction accuracy of the observed cTTO values were used to select the value set. RESULTS In total, 1476 individuals participated in the study, with 1058 participated the DCE interview and 418 participated the cTTO interview. The highest mean TTO value was 0.924 for state 11112 and the lowest mean TTO value was - 0.088 for state 33333. The hybrid model with an A3 term performed the best and was selected as the value set. DISCUSSION Following the international protocol and using a larger cTTO design, this study established the EQ-5D-Y-3L value set using a hybrid model for China. Future EQ-5D-Y-3L valuation study could consider using a larger cTTO design for estimating the value set.
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Affiliation(s)
- Zhihao Yang
- Health Services Management Department, Guizhou Medical University, Gui'an, China.
- College of Pharmacy, Jinan University, Guangzhou, China.
| | - Jie Jiang
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Pei Wang
- School of Public Health, Fudan University, Shanghai, China
| | - Xuejing Jin
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Jing Wu
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
| | - Yu Fang
- Department of Pharmacy Administration, School of Pharmacy, Health Science Centre, Xi'an Jiaotong University, Xi'an, China
| | - Da Feng
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyu Xi
- The Research Centre of National Drug Policy and Ecosystem, China Pharmaceutical University, Nanjing, China
| | - Shunping Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Mingxia Jing
- Department of Preventive Medicine, Medical College of Shihezi University, Shihezi, China
| | - Bin Zheng
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China
| | - Weidong Huang
- School of Health Management, Harbin Medical University, Harbin, China
| | - Nan Luo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
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