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Journal articles on the topic 'Health valuation'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Gutacker, Nils, Thomas Patton, Koonal Shah, and David Parkin. "Using EQ-5D Data to Measure Hospital Performance: Are General Population Values Distorting Patients’ Choices?" Medical Decision Making 40, no. 4 (May 2020): 511–21. http://dx.doi.org/10.1177/0272989x20927705.

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Background. The English National Health Service publishes hospital performance indicators based on average postoperative EQ-5D index scores after hip replacement surgery to inform prospective patients’ choices of hospital. Unidimensional index scores are derived from multidimensional health-related quality-of-life data using preference weights estimated from a sample of the UK general population. This raises normative concerns if general population preferences differ from those of the patients who are to be informed. This study explores how the source of valuation affects hospital performance estimates. Methods. Four different value sets reflecting source of valuation (general population v. patients), valuation technique (visual analog scale [VAS] v. time tradeoff [TTO]), and experience with health states (currently experienced vs. experimentally estimated) were used to derive and compare performance estimates for 243 hospitals. Two value sets were newly estimated from EQ-5D-3L data on 122,921 hip replacement patients and 3381 members of the UK general public. Changes in hospital ranking (nationally) and performance outlier status (nationally; among patients’ 5 closest hospitals) were compared across valuations. Results. National rankings were stable under different valuations (rank correlations >0.92). Twenty-three (9.5%) hospitals changed outlier status when using patient VAS valuations instead of general population TTO valuations, the current approach. Outlier status also changed substantially at the local level. This was explained mostly by the valuation technique, not the source of valuations or experience with the health states. Limitations. No patient TTO valuations were available. The effect of value set characteristics could be established only through indirect comparisons. Conclusion. Different value sets may lead to prospective patients choosing different hospitals. Normative concerns about the use of general population valuations are not supported by empirical evidence based on VAS valuations.

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Kharroubi, Samer A. "Modeling SF-6D Health Utilities: Is Bayesian Approach Appropriate?" International Journal of Environmental Research and Public Health 18, no. 16 (August 9, 2021): 8409. http://dx.doi.org/10.3390/ijerph18168409.

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Background: Valuation studies of preference-based health measures like SF6D have been conducted in many countries. However, the cost of conducting such studies in countries with small populations or low- and middle-income countries (LMICs) can be prohibitive. There is potential to use results from readily available countries’ valuations to produce better valuation estimates. Methods: Data from Lebanon and UK SF-6D value sets were analyzed, where values for 49 and 249 health states were extracted from samples of Lebanon and UK populations, respectively, using standard gamble techniques. A nonparametric Bayesian model was used to estimate a Lebanon value set using the UK data as informative priors. The resulting estimates were then compared to a Lebanon value set obtained using Lebanon data by itself via various prediction criterions. Results: The findings permit the UK evidence to contribute potential prior information to the Lebanon analysis by producing more precise valuation estimates than analyzing Lebanon data only under all criterions used. Conclusions: The positive findings suggest that existing valuation studies can be merged with a small valuation set in another country to produce value sets, thereby making own country value sets more attainable for LMICs.

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Hansen, Tonya Moen, Knut Stavem, and Kim Rand. "Time trade-off with someone to live for: impact of having significant others on time trade-off valuations of hypothetical health states." Quality of Life Research 31, no. 4 (October 30, 2021): 1199–207. http://dx.doi.org/10.1007/s11136-021-03026-6.

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Abstract Background The TTO task involves giving up life years, i.e. living a shorter life, to avoid an undesirable health state. Despite being a hypothetical task, some respondents take other life factors into account when completing the task. This study explored the effect of having children and/or a partner on TTO valuations of hypothetical EQ-5D-5L health states in a valuation study of the general population. Methods The study used TTO data collected in a Norwegian EQ-5D-5L valuation study in 2019–2020, by one-to-one pc-assisted interviews following the EQ-VT protocol. We used regression modelling to determine the effect of significant others (having children or a partner) on disutility per health state from the TTO valuations. Results 430 respondents were included [mean age 43.8 (SD 15.9) years, 58% female, 48% with children, 68% with a partner, 25% with neither children nor partner]. Having children and/or a partner was associated with lowered willingness to trade life years translating to higher elicited health state utilities (p < 0.01). Conclusion Having significant others, or the lack of having significant others, was associated with respondents’ valuation of hypothetical health states using TTO, more so than traditional sampling variables such as age and sex. Inadequate representativeness in terms of having significant others could bias health state preference values in valuation studies.

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Faramarzi, Ahmad, Ahmad Sadeghi, and Javad Javan Noughabi. "Valuation on Health States: A Contingent Valuation Study." Research Journal of Applied Sciences 13, no. 2 (November 10, 2019): 157–61. http://dx.doi.org/10.36478/rjasci.2018.157.161.

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Agee, Mark D., and Thomas D. Crocker. "Does parents’ valuation of children’s health mimic their valuation of own health?" Journal of Population Economics 21, no. 1 (August 1, 2007): 231–49. http://dx.doi.org/10.1007/s00148-007-0159-2.

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Cai, Jun, Miao Luo, and Alan J. Marcus. "Financial health and the valuation of corporate pension plans." Journal of Pension Economics and Finance 19, no. 4 (November 19, 2019): 459–90. http://dx.doi.org/10.1017/s1474747219000210.

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AbstractWe return to the long-standing question ‘Who owns the assets in a defined benefit pension plan?’ Unlike earlier studies, we condition the market's assessment of implicit property rights on the sponsoring firm's financial health. Valuations of financially strong firms, and those that are strengthening, are more responsive to pension plan funding. For these firms, each extra dollar of net plan assets is valued at between $0.50 and $1.00. In contrast, for weak and weakening firms, valuation effects are statistically indistinguishable from zero. This result is consistent with the higher likelihood that they will renege on their pension obligations.

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Lipman, S. A., V. T. Reckers-Droog, M. Karimi, M. Jakubczyk, and A. E. Attema. "Self vs. other, child vs. adult. An experimental comparison of valuation perspectives for valuation of EQ-5D-Y-3L health states." European Journal of Health Economics 22, no. 9 (October 6, 2021): 1507–18. http://dx.doi.org/10.1007/s10198-021-01377-y.

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Abstract Objectives EQ-5D-Y-3L health states are valued by adults taking the perspective of a 10-year-old child. Compared to valuation of adult EQ-5D instruments, this entails two changes to the perspective: (i) child health states are valued instead of adult health states and: (ii) health states are valued for someone else instead of for oneself. Although earlier work has shown that these combined changes yield different values for child and adult health states that are otherwise equal, it currently remains unclear why. Hence, we aimed to disentangle the effects of both changes. Methods A sample of 205 students (mean age: 19.48) was surveyed. Each respondent completed visual analogue scale (VAS) and time trade-off (TTO) tasks for five EQ-5D-Y-3L states, using four randomly ordered perspectives: (i) self-adult (themselves), (ii) other-adult (someone their age), (iii) self-child (themselves as a 10-year-old), (iv) other-child (a child of 10 years old). We compared how each perspective impacted outcomes, precision and quality of EQ-5D-Y-3L valuation. Results Overall, differences between perspectives were consistent, with their direction being dependent on the health states and respondents. For VAS, the effect on outcomes of valuation depended on severity, but variance was higher in valuation with child perspectives. For TTO, we observed that EQ-5D-Y-3L states valued on behalf of others (i.e., children or adults) received higher valuations, but lower variances. Conclusion The use of a different perspective appears to yield systematic differences in EQ-5D-Y-3L valuation, with considerable heterogeneity between health states and respondents. This may explain mixed findings in earlier work.

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Krabbe, Paul F. M., and Gouke J. Bonsel. "Sequence Effects, Health Profiles, and the QALY Model." Medical Decision Making 18, no. 2 (January 1998): 178–86. http://dx.doi.org/10.1177/0272989x9801800207.

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The authors conducted an experiment to determine whether the sequence of presentation of states in a health profile would affect the valuations assigned to them. The empirical task was part of a large standardized experiment involving 104 students. Thirteen health states were valued using two variations of the time-tradeoff method. At the group level, a small but distinct overall effect of the sequence of the tradeoffs was detected after accounting for discounting effects. The respondents were not preference-indifferent concerning the sequence of health states presented. Detailed analysis at the individual level indicated that the overall sequence effect was attributable to two groups of respondents who were sensitive to the sequence of events. One small group, referred to as “best-things-first” respondents, preferred the best years first; the other group, classified as “happy-end” respondents, preferred the reverse sequence. The majority of the respondents, however, were indifferent to the sequence. These results suggest that 1) in valuation experiments involving the time-tradeoff method and 2) in applying valuation results to the evaluation of real-life health consequences, a varying lifetime health profile may not be regarded as simply a chain of independent separately valued and discounted QALY periods. Even elementary valuation tasks cannot safely assume ignorance of prognosis, as the additive utility independence assumption of the QALY model does not hold. The sequence effect at least supplements the conventional general time-preference concept, and specific strategies are suggested to disentangle quantitatively the sequence effect and the time-preference effect.

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Nielson, Spencer A., Jordan Taylor, Zach Simmons, Andrea N. Decker, Daniel B. Kay, and Matthew R. Cribbet. "Sleep Valuation Is Associated with Components of Sleep Health and Daytime Functioning in a College Sample: A Survey Study." International Journal of Environmental Research and Public Health 18, no. 11 (May 25, 2021): 5644. http://dx.doi.org/10.3390/ijerph18115644.

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Sleep valuation, the worth individuals place on sleep, is an understudied construct in the field of sleep medicine. This study introduced a Sleep Valuation Item Bank and explored how sleep valuation is related to sleep health and daytime functioning within a sample of college students. The participants in this study were 247 (85% white, 83% female) undergraduate students who completed an online survey that included questions from a Sleep Valuation Item Bank and questions about sleep and daytime functioning. Correlation and regression analyses were conducted to determine associations between sleep valuation, aspects of sleep health and daytime functioning. Mediation analyses were conducted to determine whether the sleep health variables explained the associations between sleep valuation and daytime functioning. In correlation analyses, sleep valuation was negatively associated with sleepiness and sleep quality. It was also associated with daytime functioning, including general mental and physical health, depression, and anxiety. In the regression analyses, daytime impairments including poorer physical and mental health, anxiety, and depression were associated with higher sleep valuation. Poorer sleep health, including greater sleepiness and lower sleep quality, explained these associations and were associated with higher sleep valuation. Thus, while daytime impairments, such as anxiety and depression, are related to sleep valuation, this relationship may be due in part to the sleep disturbance that often co-occurs with these impairments.

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Hoogendoorn, Martine, Mark Oppe, Melinde R. S. Boland, Lucas M. A. Goossens, Elly A. Stolk, and Maureen P. M. H. Rutten–van Mölken. "Exploring the Impact of Adding a Respiratory Dimension to the EQ-5D-5L." Medical Decision Making 39, no. 4 (May 2019): 393–404. http://dx.doi.org/10.1177/0272989x19847983.

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Objectives. To evaluate the impact of adding a respiratory dimension (a bolt-on dimension) to the EQ-5D-5L health state valuations. Methods. Based on extensive regression and principal component analyses, 2 respiratory bolt-on candidates were formulated: R1, limitations in physical activities due to shortness of breath, and R2, breathing problems. Valuation interviews for the selected bolt-ons were performed with a representative sample from the Dutch general public using the standardized interview protocol and software of the EuroQol group. Hybrid models based on the combined time-tradeoff (TTO) and discrete choice experiment (DCE) data were estimated to assess whether the 5 levels of the respiratory bolt-on led to significant changes in utility values. Results. For each bolt-on candidate, slightly more than 200 valuation interviews were conducted. Mean TTO values and DCE choice probabilities for health states with a level 4 or 5 for the respiratory dimension were significantly lower compared with the same health states in the Dutch EQ-5D-5L valuation study without the respiratory dimension. Results of hybrid models showed that for the bolt-on “limitations in physical activities,” the utility decrements were significant for level 3 (–0.055), level 4 (–0.087), and level 5 (–0.135). For “breathing problems,” the utility decrements for the same levels were greater (–0.086, –0.219, and –0.327, respectively). Conclusions. The addition of each of the 2 respiratory bolt-ons to the EQ-5D-5L had a significant effect on the valuation of health states with severe levels for the bolt-on. The bolt-on dimension “breathing problems” showed the greatest utility decrements and therefore seems the most appropriate respiratory bolt-on dimension.

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Adler, Matthew D. "Contingent valuation studies and health policy." Health Economics, Policy and Law 5, no. 1 (January 2010): 123–31. http://dx.doi.org/10.1017/s1744133109990028.

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Sukmana, Nandang. "Expanded Net Present Value for Various Mining Valuation." Advanced Science Letters 21, no. 4 (April 1, 2015): 735–39. http://dx.doi.org/10.1166/asl.2015.5929.

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The purpose of this paper to provide a valuation incorporating management flexibility in an uncertain operating environment for valuing various mining in Indonesia. This research raises the question on what strategies in developing valuations models of various mining and how uncertainty such as prices, grades/quality, costs, schedules, quantities, environmental issues and among others which are not known at the beginning of the project, have contributed to the value resulted. The study is based on an Expanded Net Present Value (eNPV) valuation in which uncertainty and management flexibility are incorporated into the valuation. The focus of the research is on the strategy in determining value using Expanded Net Present Value (eNPV) and on how to mitigate the risks of uncertainties. The paper emphasizes the specific characteristics of the actual mining valuation in Indonesia, generated by conventional NPV method commonly used. This was also confirmed in a study carried out by Graham and Campbell (2002), of 392 completed CFO surveys, 74.9% of respondents always or mostly use the Net Present Value (NPV) method of project valuation. However, conventional valuation tools have penalized projects with a high degree of uncertainty and lead to myopic decisions. The research is correlated to diagnose the flexibility of strategic mine planning and to analyze the process of change within the uncertainties. The study allows emphasis on some characteristics of the mining valuation process developed in Indonesia.

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Stolk, Elly A., Benjamin M. Craig, Brendan Mulhern, and Derek S. Brown. "Health Valuation: Demonstrating the Value of Health and Lifespan." Patient - Patient-Centered Outcomes Research 10, no. 4 (June 8, 2017): 515–17. http://dx.doi.org/10.1007/s40271-017-0252-x.

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Tilling, Carl, Nancy Devlin, Aki Tsuchiya, and Ken Buckingham. "Protocols for Time Tradeoff Valuations of Health States Worse than Dead: A Literature Review." Medical Decision Making 30, no. 5 (January 12, 2010): 610–19. http://dx.doi.org/10.1177/0272989x09357475.

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Background. The time tradeoff (TTO) method of preference elicitation allows respondents to value a state as worse than dead, generally either through the Torrance protocol or the Measurement and Valuation of Health (MVH) protocol. Both of these protocols have significant weaknesses: Valuations for states worse than dead (SWD) are elicited through procedures different from those for states better than dead (SBD), and negative values can be extremely negative. Purpose. To provide an account of the different TTO designs for SWD, to identify any alternatives to the MVH and Torrance approaches, and to consider the merits of the approaches identified. Methods. Medline was searched to identify all health state valuation studies employing TTO. The ways in which SWD were handled were recorded. Furthermore, to ensure that there are no unpublished but feasible TTO variants, the authors developed a theoretical framework for identifying all potential variants. Results. The search produced 593 hits, of which 218 were excluded. Of the remaining 375 articles, only 29 included protocols for SWD. Of these, 23 used the MVH protocol and 4 used the Torrance protocol. The other 2 used 1 protocol for SBD and SWD, one making use of lead time and the other using a 2-stage procedure with chaining. The systematic framework did not identify any alternatives to the Torrance and MVH protocols that were superior to the lead time approach. Conclusions. Few studies elicit values for SWD. The lead time approach is a potential alternative to the Torrance and MVH protocols. Key words: QALY; states worse than dead; health state valuation; preference elicitation.

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Rau, Amrit, Rajesh Behl, Taher Abbasi, and Jeffrey L. Wolf. "A Novel Valuation Methodology for Patient-Derived Biological Assets with Case Study." Blood 124, no. 21 (December 6, 2014): 5998. http://dx.doi.org/10.1182/blood.v124.21.5998.5998.

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Abstract Health outcomes of clonal hematologic disorders will be determined by individualized interventions based upon the molecular analysis of patients’ biological specimens. However, many patients risk exclusion from the application of these techniques if their biological specimens are not preserved in a longitudinal manner during the evolution of their disease. We consider these biological samples as assets which belong to patients, not just because these samples might shed light on the appropriate therapy, but because they may have financial value for the patient, especially when associated with appropriate clinical annotation. These assets’ financial valuations can vary and currently patients and tissue suppliers have no tangible means to control the monetization of such assets and the establishment of a specific valuation. Our proposed methodology is a novel biological asset valuation model to assign a specific financial value to each specimen. This provides an opportunity for patients to have control over usage and monetization of their assets, contrary to the current approach where the providers get assigned all the rights de facto. Methods The model depends on a variety of extrinsic, intrinsic, and miscellaneous parameters from local and global data sets to produce a single cohesive value. Each parameter is assigned a score over the interval [0, 1], and the scores are weighted, summed, and averaged to obtain a relative valuation. The relative valuation can be then multiplied by a normalization constant kto obtain an actual monetary value. For such a valuation model to be applicable, accurate, and effective, it needs to draw from an ever-expanding field of such parameters. Therefore, to mitigate this issue and streamline improvement to the model, we proposed a “slot-on” model to allow additional parameter scores to be easily introduced into and weighted in the final valuation. Our model additionally supports specimen tagging via parameter scoring thresholds in order to simplify coarse human valuation adjustment of broad specimen types and allow for dynamic real-world changes to valuations that are impossible for the model to capture (new legislation affecting production, etc.). Results The valuation model has been tested on several sample patient cases. For example, a well-preserved, well-annotated polycythemia vera marrow sample was valued at 1.246k, while a poorly-reserved, moderately-annotated glioblastoma multiforme glial cell tissue sample was valued at 1.290k. Such a valuation confirms that the polycythemia vera asset is lower in value than the glioblastoma multiforme asset despite a higher quality of annotation. Conclusion Our approach and methodology of assigning a value to biological assets has been validated by our case studies and has the potential to change the level of control that patients have over their biological assets, allowing patients to derive the monetary benefits of the distribution of their tissue and, working with their care providers, have better individualized treatment and health outcomes. Disclosures No relevant conflicts of interest to declare.

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Moffett, Maurice L., and Maria E. Suarez-Almazor. "Prospect theory in the valuation of health." Expert Review of Pharmacoeconomics & Outcomes Research 5, no. 4 (August 2005): 499–505. http://dx.doi.org/10.1586/14737167.5.4.499.

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Reilly, Robert F., and James R. Rabe. "The Valuation of Health Care Intangible Assets." Health Care Management Review 22, no. 2 (1997): 55–64. http://dx.doi.org/10.1097/00004010-199702220-00007.

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Reilly, Robert F., and James R. Rabe. "The Valuation of Health Care Intangible Assets." Health Care Management Review 22, no. 2 (1997): 55–64. http://dx.doi.org/10.1097/00004010-199704000-00007.

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Reilly, Robert F., and James R. Rabe. "The Valuation of Health Care Intangible Assets." Health Care Management Review 22, no. 2 (1997): 55–64. http://dx.doi.org/10.1097/00004010-199721000-00007.

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Klose, Thomas. "The contingent valuation method in health care." Health Policy 47, no. 2 (May 1999): 97–123. http://dx.doi.org/10.1016/s0168-8510(99)00010-x.

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Dhaliwal, Dan S., Oliver Zhen Li, and Hong Xie. "Institutional Investors, Financial Health, and Equity Valuation." Asia-Pacific Journal of Accounting & Economics 17, no. 2 (August 2010): 151–73. http://dx.doi.org/10.1080/16081625.2010.9720858.

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Singh, Jeshika, Joanne Lord, Louise Longworth, Shepley Orr, Teresa McGarry, Rob Sheldon, and Martin Buxton. "Does Responsibility Affect the Public's Valuation of Health Care Interventions? A Relative Valuation Approach to Health Care Safety." Value in Health 15, no. 5 (July 2012): 690–98. http://dx.doi.org/10.1016/j.jval.2012.02.005.

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Halling, Christine Marie Bækø, Claire Gudex, Anders Perner, Cathrine Elgaard Jensen, and Dorte Gyrd-Hansen. "Public versus patient health preferences: protocol for a study to elicit EQ-5D-5L health state valuations for patients who have survived a stay in intensive care." BMJ Open 12, no. 5 (May 2022): e058500. http://dx.doi.org/10.1136/bmjopen-2021-058500.

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IntroductionThe value set used when calculating quality-adjusted life-years (QALYs) is most often based on stated preference data elicited from a representative sample of the general population. However, having a severe disease may alter a person’s health preferences, which may imply that, for some patient groups, experienced QALYs may differ from those that are estimated via standard methods. This study aims to model 5-level EuroQol 5-dimensional questionnaire (EQ-5D-5L) valuations based on preferences elicited from a sample of patients who have survived a stay in a Danish intensive care unit (ICU) and to compare these with the preferences of the general population. Further, the heterogeneity in the ICU patients’ preferences will be investigated.Methods and analysisThis valuation study will elicit EQ-5D-5L health state preferences from a sample of 300 respondents enrolled in two randomised controlled trials at Danish ICUs. Patients’ preferences will be elicited using composite time trade-off based on the EuroQol Valuation Technology, the same as that used to generate the EQ-5D-5L value set for the Danish general population. The patient-based and the public-based EQ-5D-5L valuations will be compared. Potential underlying determinants of the ICU preferences will be investigated through analyses of demographic characteristics, time since the ICU stay, self-reported health, willingness to trade-off length of life for quality of life, health state reference dependency and EQ-5D dimensions that patients have experienced themselves during their illness.Ethics and disseminationUnder Danish regulations, ethical approval is not required for studies of this type. Written informed consent will be obtained from all patients. The study results will be published in peer-reviewed scientific journals and presented at national and international conferences. The modelling algorithms will be publicly available for statistical software, such as Stata and R.

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Hao, Shuang, Emelie Heintz, Gert Helgesson, Sophie Langenskiöld, Jiaying Chen, and Kristina Burström. "Influence of elicitation procedure and phrasing on health state valuations in experience-based time trade-off tasks among diabetes patients in China." Quality of Life Research 29, no. 1 (September 12, 2019): 289–301. http://dx.doi.org/10.1007/s11136-019-02292-9.

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Abstract Purpose Open-ended and iteration-based time trade-off (TTO) tasks can both be used for valuation of health states. It has so far not been examined how the elicitation procedure affects the valuation of experience-based health states. The purpose of this study is to investigate the influence of elicitation procedure on experience-based health state values elicited by the TTO method. Methods 156 Chinese adults with type 2 diabetes participated in face-to-face interviews with an open-ended or an iteration-based TTO task. The association between the type of TTO task and the valuation of health states was investigated through multiple linear regression analyses. A modified open-ended TTO task was also developed (n = 33) to test whether different phrasings of open-ended TTO tasks influence TTO values. Results Higher TTO values were observed in the original open-ended TTO task compared to the iteration-based task, which indicates that the elicitation procedure influences the valuation of health states. When the modified open-ended task was introduced, the difference between the two elicitation procedures was no longer statistically significant, suggesting that the phrasing and/or visual presentation of the TTO task may influence the valuation of health states. Conclusions The choice of elicitation procedure as well as the description of experience-based TTO tasks may influence the valuation of health states. Further research is warranted, also in other cultural contexts, to further explore these findings.

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Hardin, Jessica, and Christina Ting Kwauk. "Elemental Eating: Samoan Public Health and Valuation in Health Promotion." Contemporary Pacific 31, no. 2 (2019): 381–415. http://dx.doi.org/10.1353/cp.2019.0027.

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Johannesson, Magnus. "The Contingent-valuation Method." Medical Decision Making 13, no. 4 (December 1993): 311–12. http://dx.doi.org/10.1177/0272989x9301300407.

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Purba, FD, JA Hunfeld, A. Iskandarsyah, TS Fitriana, SS Sadarjoen, J. Passchier, and J. van Busschbach. "Sociodemographic Differences in Health States Valuations: Data From the Indonesian EQ-5D-5L Valuation Study." Value in Health 21 (September 2018): S88. http://dx.doi.org/10.1016/j.jval.2018.07.664.

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Lapcevic, Mirjana, Ivan Dimitrijevic, Jelena Ristic, and Mira Vukovic. "Rating on life valuation scale." Srpski arhiv za celokupno lekarstvo 134, no. 9-10 (2006): 432–37. http://dx.doi.org/10.2298/sarh0610432l.

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Introduction: World Health Organization (WHO) Articles of Association defines health as the state of complete physical, mental and social well-being and not merely the absence of disease. According to this definition, the concept of health is enlarged and consists of public and personal needs, motives and psychological nature of a person, education, culture, tradition, religion, etc. All these needs do not have the same rank on life valuation scale. Objective: The objective of our study was ranking 6 most important values of life out of 12 suggested. Method: Questionnaire about Life Valuation Scale was used as method in our study. This questionnaire was created by the Serbian Medical Association and Department of General Medicine, School of Medicine, University of Belgrade. It analyzed 10% of all citizens in 18 places in Serbia, aged from 25 to 64 years, including Belgrade commune Vozdovac. Survey was performed in health institutions and in citizens? residencies in 1995/96 by doctors, nurses and field nurses. Results: A total of 14,801 citizens was questioned in Serbia (42.57% of men, 57.25% of women), and 852 citizens in Vozdovac commune (34.62% of men, 65.38% of women). People differently value things in their lives. On the basis of life values scoring, the most important thing in people?s life was health. In Serbia, public rank of health was 4.79%, and 4.4% in Vozdovac commune. Relations in family were on the second place, and engagement in politics was on the last place. Conclusion: The results of our study in the whole Serbia and in Vozdovac commune do not differ significantly from each other, and all of them demonstrated that people attached the greatest importance to health on the scale of proposed values. Relationships in family were on the second place, and political activity was on the last place. High ranking of health and relationships in family generally shows that general practitioners in Serbia take important part in primary health care and promotion of health care management. They have responsibility to preserve and enhance health of a person, family and society as a whole.

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Zuiderent-Jerak, Teun, and Stans Van Egmond. "Ineffable Cultures or Material Devices: What Valuation Studies can Learn from the Disappearance of Ensured Solidarity in a Health Care Market." Valuation Studies 3, no. 1 (October 14, 2015): 45–73. http://dx.doi.org/10.3384/vs.2001-559.153145.

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Valuation studies addresses how values are made in valuation practices. A next - or rather previous - question becomes: what then makes valuation practices? Two oppositional replies are starting to dominate how that question can be answered: a more materially oriented focus on devices of valuation and a more sociologically inclined focus on ineffable valuation cultures. The debate between proponents of both approaches may easily turn into the kind of leapfrog debates that have dominated many previous discussions on whether culture or materiality would play a decisive role in driving history. This paper explores a less repetitive reply. It does so by analyzing the puzzling case of the demise of solidarity as a core value within the recent Dutch health care system of regulated competition. While “solidarity among the insured” was both a strong cultural value within the Dutch welfare-based health system, and a value that was built into market devices by health economists, within a fairly short time “fairness” became of lesser importance than “competition”. This makes us call for a more historical, relational, and dynamic understanding of the role of economists, market devices, and of culture in valuation studies.

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Ito, Yukie, Manabu Akahane, Akie Maeyashiki, Toshio Ogawa, and Tomoaki Imamura. "Beneficiaries’ Willingness to Pay for Resuscitation Provided by Ambulance Attendants: A Survey Using the Contingent Valuation Approach." Health 09, no. 10 (2017): 1367–77. http://dx.doi.org/10.4236/health.2017.910100.

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van den Berg, B. "PMI16: VALUATION OF INFORMAL CARE." Value in Health 4, no. 6 (September 2001): 426–27. http://dx.doi.org/10.1016/s1098-3015(11)71550-9.

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Stevens, Katherine. "Valuation of the Child Health Utility 9D Index." PharmacoEconomics 30, no. 8 (August 2012): 729–47. http://dx.doi.org/10.2165/11599120-000000000-00000.

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Bayoumi, Ahmed M. "The Measurement of Contingent Valuation for Health Economics." PharmacoEconomics 22, no. 11 (2004): 691–700. http://dx.doi.org/10.2165/00019053-200422110-00001.

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Carswell, Christopher I. "Measuring and Valuing Health Benefits for Economic Valuation." PharmacoEconomics 25, no. 4 (April 2007): 353. http://dx.doi.org/10.2165/00019053-200725040-00007.

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Augustovski, Federico Ariel, Vilma Edit Irazola, Alberto Pascual Velazquez, Luz Gibbons, and Benjamin M. Craig. "Argentine Valuation of the EQ-5D Health States." Value in Health 12, no. 4 (June 2009): 587–96. http://dx.doi.org/10.1111/j.1524-4733.2008.00468.x.

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Shaw, James W., Jeffrey A. Johnson, and Stephen Joel Coons. "US Valuation of the EQ-5D Health States." Medical Care 43, no. 3 (March 2005): 203–20. http://dx.doi.org/10.1097/00005650-200503000-00003.

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Bagust, Adrian. "Improving valuation sampling of EQ-5D health states." Health and Quality of Life Outcomes 11, no. 1 (2013): 14. http://dx.doi.org/10.1186/1477-7525-11-14.

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Zarate, V., and P. Kind. "Chilean Valuation Of The Eq-5d Health States." Value in Health 18, no. 3 (May 2015): A98. http://dx.doi.org/10.1016/j.jval.2015.03.574.

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Kumar, Anisha R., Masaru Ishii, Ira Papel, Theda Kontis, David Liao, Jonlin Chen, and Lisa E. Ishii. "The Health Utility and Valuation of Cosmetic Rhinoplasty." Facial Plastic Surgery & Aesthetic Medicine 22, no. 4 (August 1, 2020): 268–73. http://dx.doi.org/10.1089/fpsam.2020.0011.

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Golan, Elise H., and Mordechai Shechter. "Contingent Valuation of Supplemental Health Care in Israel." Medical Decision Making 13, no. 4 (December 1993): 302–10. http://dx.doi.org/10.1177/0272989x9301300406.

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Craig, B. M., D. S. Brown, C. Cunningham, W. Greiner, and B. Reeve. "PHP69 United States Valuation of Child Health Outcomes." Value in Health 15, no. 7 (November 2012): A301. http://dx.doi.org/10.1016/j.jval.2012.08.611.

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Engel, Lidia, Nick Bansback, Stirling Bryan, Mary M. Doyle-Waters, and David G. T. Whitehurst. "Exclusion Criteria in National Health State Valuation Studies." Medical Decision Making 36, no. 7 (July 10, 2016): 798–810. http://dx.doi.org/10.1177/0272989x15595365.

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Santos, Marisa, Monica A. C. T. Cintra, Andrea L. Monteiro, Braulio Santos, Fernando Gusmão-filho, Mônica Viegas Andrade, Kenya Noronha, et al. "Brazilian Valuation of EQ-5D-3L Health States." Medical Decision Making 36, no. 2 (October 22, 2015): 253–63. http://dx.doi.org/10.1177/0272989x15613521.

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Craig, Benjamin M., and Jan J. V. Busschbach. "Toward a more universal approach in health valuation." Health Economics 20, no. 7 (April 3, 2011): 864–75. http://dx.doi.org/10.1002/hec.1650.

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Badia, Xavier, Michael Herdman, and Paul Kind. "The Influence of Ill-Health Experience on the Valuation of Health." PharmacoEconomics 13, no. 6 (1998): 687–96. http://dx.doi.org/10.2165/00019053-199813060-00005.

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Law, EH, T. Hopkins, R. Jiang, and AS Pickard. "Does Exposure to Health Valuation Tasks Impact One’s Self Rated Health?" Value in Health 21 (May 2018): S110. http://dx.doi.org/10.1016/j.jval.2018.04.745.

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47

Byrnes, J., S. Kularatna, and P. Scuffham. "Valuing Health: Results from the Health Auction Valuation Experiment (HAVE) Study." Value in Health 19, no. 7 (November 2016): A827. http://dx.doi.org/10.1016/j.jval.2016.08.586.

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Xie, Feng, Kathryn Gaebel, Kuhan Perampaladas, Brett Doble, and Eleanor Pullenayegum. "Comparing EQ-5D Valuation Studies." Medical Decision Making 34, no. 1 (March 22, 2013): 8–20. http://dx.doi.org/10.1177/0272989x13480852.

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Byström, Ing-Marie, Elisabet Hollén, Karin Fälth-Magnusson, and AnnaKarin Johansson. "Health-Related Quality of Life in Children and Adolescents with Celiac Disease: From the Perspectives of Children and Parents." Gastroenterology Research and Practice 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/986475.

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Abstract:

Aim. To examine how celiac children and adolescents on gluten-free diet valued their health-related quality of life, and if age and severity of the disease at onset affected the children’s self-valuation later in life. We also assessed the parents’ valuation of their child’s quality of life.Methods. The DISABKIDS Chronic generic measure, short versions for both children and parents, was used on 160 families with celiac disease. A paediatric gastroenterologist classified manifestations of the disease at onset retrospectively.Results. Age or sex did not influence the outcome. Children diagnosed before the age of five scored higher than children diagnosed later. Children diagnosed more than eight years ago scored higher than more recently diagnosed children, and children who had the classical symptoms of the disease at onset scored higher than those who had atypical symptoms or were asymptomatic. The parents valuated their children’s quality of life as lower than the children did.Conclusion. Health-related quality of life in treated celiac children and adolescents was influenced by age at diagnosis, disease severity at onset, and years on gluten-free diet. The disagreement between child-parent valuations highlights the importance of letting the children themselves be heard about their perceived quality of life.

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Gyrd-Hansen, Dorte. "The role of the payment vehicle in non-market valuations of a health care service: willingness-to-pay for an ambulance helicopter service." Health Economics, Policy and Law 11, no. 1 (February 9, 2015): 1–16. http://dx.doi.org/10.1017/s1744133115000018.

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AbstractThis study analyses the role of the payment vehicle when conducting non-market valuations of health care services using stated preference methods. Based on a contingent valuation study conducted in Denmark encompassing more than 3400 respondents three important conclusions are drawn. Firstly, it is found that the valuation of a publicly financed ambulance helicopter service is higher than for an identical privately financed service. Secondly, the results suggest that the public premium is likely to be partly driven by altruistic preferences, and that some citizens value access to this type of service for all. An important driver is also perceptions of quality of services across the private and public sector. Finally, it is shown that exclusion of protest bidders is problematic and may bias welfare estimates. The take home message is that it is difficult to isolate the value of a good per se, and that analysts should take care in applying the payment vehicle that is likely to be applied in real life when valuing non-market goods. There has been little awareness of the importance of choice of payment vehicle in the literature to date.

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