Search

Background: Accounting for preference heterogeneity is a growing analytical practice in health-related discrete choice experiments (DCEs). As heterogeneity may be examined from different stakeholder perspectives with different methods, identifying the breadth of these methodological approaches and understanding the differences are major steps to provide guidance on good research practices. Objectives: Our objective was to systematically summarize current practices that account for preference heterogeneity based on the published DCEs related to healthcare. Methods: This systematic review is part of the project led by the Professional Society for Health Economics and Outcomes Research (ISPOR) health preference research special interest group. The systematic review conducted systematic searches on the PubMed, OVID, and Web of Science databases, as well as on two recently published reviews, to identify articles. The review included health-related DCE articles published between 1 January 2000 and 30 March 2020. All the included articles also presented evidence on preference heterogeneity analysis based on either explained or unexplained factors or both. Results: Overall, 342 of the 2202 (16%) articles met the inclusion/exclusion criteria for extraction. The trend showed that analyses of preference heterogeneity increased substantially after 2010 and that such analyses mainly examined heterogeneity due to observable or unobservable factors in individual characteristics. Heterogeneity through observable differences (i.e., explained heterogeneity) is identified among 131 (40%) of the 342 articles and included one or more interactions between an attribute variable and an observable characteristic of the respondent. To capture unobserved heterogeneity (i.e., unexplained heterogeneity), the studies largely estimated either a mixed logit (n = 205, 60%) or a latent-class logit (n = 112, 32.7%) model. Few studies (n = 38, 11%) explored scale heterogeneity or heteroskedasticity. Conclusions: Providing preference heterogeneity evidence in health-related DCEs has been found as an increasingly used practice among researchers. In recent studies, controlling for unexplained preference heterogeneity has been seen as a common practice rather than explained ones (e.g., interactions), yet a lack of providing methodological details has been observed in many studies that might impact the quality of analysis. As heterogeneity can be assessed from different stakeholder perspectives with different methods, researchers should become more technically pronounced to increase confidence in the results and improve the ability of decision makers to act on the preference evidence.

Background and Objective In health preference research, studies commonly hypothesize differences in parameters (i.e., differential or joint effects on attribute importance) and/or in choice predictions (marginal effects) by observable factors. Discrete choice experiments may be designed and conducted to test and estimate these observable differences. This guide covers how to explore and corroborate various observable differences in health preference evidence. Methods The analytical process has three steps: analyze the exploratory data, analyze the confirmatory data, and interpret and disseminate the evidence. In this guide, we demonstrate the process using dual samples (where exploratory and confirmatory samples were collected from different sources) on 2020 US COVID-19 vaccination preferences; however, investigators may apply the same approach using split samples (i.e., single source). Results The confirmatory analysis failed to reject ten of the 17 null hypotheses generated by the exploratory analysis (p < 0.05). Apart from demographic, socioeconomic, and geographic differences, political independents and persons who have never been vaccinated against influenza are among those least likely to be vaccinated (0.838 and 0.872, respectively). Conclusions For all researchers in health preference research, it is essential to know how to identify and corroborate observable differences. Once mastered, this skill may lead to more complex analyses of latent differences (e.g., latent classes, random parameters). This guide concludes with six questions that researchers may ask themselves when conducting such analyses or reviewing published findings of observable differences. Supplementary Information The online version contains supplementary material available at 10.1007/s40271-021-00551-x.

Background Stated preference research currently lacks a form of evidence that is well suited for small samples. A preference path is a sequence of two or more choices showing the evolution of an object following an adaptive process. Objectives The aims were to introduce preference paths and their kaizen tasks and to demonstrate how to analyze their evidence using a small sample. Methods Twenty respondents were assigned the same 16 profiles generated from an orthogonal array based on the five attributes of the EQ-5D-5L descriptive system. Each kaizen task began with an opt-out paired comparison (i.e., choosing between the initial 10-year profile and the opt-out “dying immediately”), followed by choosing three changes, and ended with a second paired comparison (final profile versus opt-out) if the respondent chose opt-out initially. By maximum likelihood with respondent clusters, we estimated the 20 main effects using conditional logit and Zermelo–Bradley–Terry (ZBT) specifications. Results Apart from demonstrating heterogeneity and profile effects, all main effect estimates were non-negative, and most were significant (15 for logit and all 20 for ZBT; p value < 0.05). Under the logit and ZBT specifications, the value of the worst EQ-5D-5L profile (55555) is − 0.920 quality-adjusted life years (QALYs) or − 1.478 QALYs, respectively. Furthermore, the findings illustrate a log-linear relationship between the logit and ZBT main effects. Conclusion This paper demonstrates the feasibility of a stated-preference study that estimates 20 main effects using path evidence from 20 respondents (16 kaizen tasks, 15-min interviews). This approach shows promise for future application in stated-preference research, particularly in small samples. Supplementary Information The online version contains supplementary material available at 10.1007/s40271-021-00541-z.

Analyses of preference evidence frequently confuse heterogeneity in the effects of attribute parameters (i.e., taste coefficients) and the scale parameter (i.e., variance). Standard latent class models often produce unreasonable classes with high variance and disordered coefficients because of confounding estimates of effect and scale heterogeneity. In this study, we estimated a scale-adjusted latent class model in which scale classes (heteroskedasticity) were identified using respondents’ randomness in choice behavior on the internet panel (e.g., time to completion and time of day). Hence, the model distinctly explained the taste/preference variation among classes associated with individual socioeconomic characters, in which scales are adjusted. Using data from a discrete-choice experiment on US health insurance demand among single employees, the results demonstrated how incorporating behavioral data enhances the interpretation of heterogeneous effects. Once scale heterogeneity was controlled, we found substantial heterogeneity with 4 taste classes. Two of the taste classes were highly premium sensitive (economy class), coming mostly from the low-income group, and the class associated with better educational backgrounds preferred to have a better quality of coverage of health insurance plans. The third class was a highly quality-sensitive class, with a higher SES background and lower self-stated health condition. The last class was identified as stayers, who were not premium or quality sensitive. This case study demonstrates that one size does not fit all in the analysis of preference heterogeneity. The novel use of behavioral data in the latent class analysis is generalizable to a wide range of health preference studies.

Background In economic evaluations, quality-adjusted life-years (QALYs) can serve as a unit of measurement for disease burden. Obtaining QALY values for COVID-19 presents a challenge owing to the availability of two US EQ-5D-5L value sets and the potentially asymptomatic presentation of the disease. The first value set was completed allowing for the discounting of future health outcomes while the second value set is undiscounted. Objective The objective of this study was to compare the distribution of QALY values using a national survey and the two published value sets; and to estimate the association between COVID-19 outcomes and QALY losses. Methods Between 9 and 11 November, 2020, 1153 US adults completed the EQ-5D-5L instrument (five items and a visual analog scale) as well as self-reported their demographics, COVID-19 symptoms, and memberships to populations that are at risk of COVID-19 infection. The two US value sets were applied to the EQ-5D-5L responses to produce QALY values. We estimated the mean QALYs by visual analog scale decile and a generalized linear model of COVID-19 outcomes. Results The discounted values are higher than the undiscounted values for each visual analog scale decile owing to methodological differences. Persons at increased risk, with a fever in the past day, and with one or more other symptoms have significantly greater QALY losses (p < 0.01). Overall, non-institutionalized individuals at risk of symptomatic clinical COVID-19 equal 0.68 for the 2016 value set (95% confidence interval 0.49–0.87) and 0.10 for the 2017 value set (95% confidence interval − 0.31 to 0.51) QALYs. Conclusions Multiple studies have shown that decision makers discount future health outcomes, which increase QALY values. This study confronts the practical implications of these methodological advances for use in COVID-19 economic evaluations. Health economists will be able to use the QALY values in this study to better evaluate health interventions against COVID-19. Supplementary Information The online version contains supplementary material available at 10.1007/s40271-021-00509-z.

IntroductionWide variation in the management of key paediatric surgical conditions in the UK has likely resulted in outcomes for some children being worse than they could be. Consequently, it is important to reduce unwarranted variation. However, major barriers to this are the inability to detect differences between observed and expected hospital outcomes based on the casemix of the children they have treated, and the inability to detect variation in significant outcomes between hospitals. A stated-preference study has been designed to estimate the value key stakeholders place on different elements of the outcomes for a child with a surgical condition. This study proposes to develop a summary metric to determine what represents successful treatment of children with surgical conditions.Methods and analysisPreferences from parents, individuals treated for surgical conditions as infants/children, healthcare professionals and members of the public will be elicited using paired comparisons and kaizen tasks. A descriptive framework consisting of seven attributes representing types of operations, infections treated in hospital, quality of life and survival was identified. An experimental design has been completed using a D-efficient design with overlap in three attributes and excluding implausible combinations. All participants will be presented with an additional choice task including a palliative scenario that will be used as an anchor. The survey will be administered online. Primary analysis will estimate a mixed multinomial logit model. A traffic light system to determine what combination of attributes and levels represent successful treatment will be created.Ethics and disseminationEthics approval to conduct this study has been obtained from the Medical Sciences Inter-Divisional Research Ethics Committee (IDREC) at the University of Oxford (R59631/RE001-05). We will disseminate all of our results in peer-review publications and scientific presentations. Findings will be additionally disseminated through relevant charities and support groups and professional organisations.

Background: Formative qualitative research is foundational to the methodological development process of quantitative health preference research (HPR). Despite its ability to improve the validity of the quantitative evidence, formative qualitative research is underreported. Objective: To improve the frequency and quality of reporting, we developed guidelines for reporting this type of research. The guidelines focus on formative qualitative research used to develop robust and acceptable quantitative study protocols and corresponding survey instruments in HPR.Methods: In December 2018, a steering committee was formed as a means to accumulate the expertise of the HPR community on the reporting guidelines (21 members, seven countries, multiple settings, and disciplines). Using existing guidelines and examples, the committee constructed, revised, and refined the guidelines. The guidelines underwent beta-testing by three researchers and further revision to the guidelines were made based on their feedback as well as from comments from members of the International Academy of Health Preference Research (IAHPR) and the editorial board of The Patient.Results: The guidelines have five components: introductory material (4 domains); methods (12); results/findings (2); discussion (2); and other (2). They are concordant with existing guidelines, published examples, beta testing results, and expert comments.Conclusions: Publishing formative qualitative research is a necessary step towards strengthening the foundation of any quantitative study, enhancing the relevance of its preference evidence. The guidelines should aid researchers, reviewers and regulatory agencies as well as promote transparency within HPR more broadly.

The federally-facilitated Health Insurance Marketplace—also known as the Health Insurance Exchange—was designed as a tool to help people purchase insurance plans, yet many Americans remain uninsured, partially due to rising premiums. One possible strategy to stabilize its premiums is to encourage healthier people to purchase their plans through the Marketplace instead of through their employers. This study examined the values that single adults with employer-based coverage place on health insurance plan attributes using a discrete-choice experiment (DCE). As part of an online survey, each respondent completed 28 paired comparisons trading off four attributes: source of coverage, plan type, monthly out-of-pocket premium, and quality of coverage. Based on our results (N = 2207), single employees slightly preferred their employer over the Marketplace as a source of coverage (0.726 odds ratio; p value

Recent evidence has shown that online surveys can reliably collect preference data, which markedly decrease the cost of health preference studies and expand their representativeness. As the use of mobile technology continues to grow, we wanted to examine its potential impact on health preferences. Two recently completed discrete choice experiments using members of the US general population (n = 15,292) included information on respondent device (cell phone, tablet, Mac, PC) and internet connection (business, cellular, college, government, residential). In this analysis, we tested for differences in respondent characteristics, participation, response quality, and utility values for the 5-level EQ-5D (EQ-5D-5L) by device and connection. Compared to Mac and PC users, respondents using a cell phone or tablet had longer completion times and were significantly more likely to drop out during the surveys (p

Background Shortly after the 2020 US election, initial evidence on first-generation COVID-19 vaccines showed 70–95% efficacy and minimal risks. Yet, many US adults expressed reluctance. Aims The aim of this study was to compare persons willing and unwilling to be vaccinated against COVID-19 and to estimate the effects of vaccination attributes on uptake: proof of vaccination, vaccination setting, effectiveness, duration of immunity, and risk of severe side effects. Method Between 9 and 11 November 2020, 1153 US adults completed a discrete choice experiment (DCE) on Phase 2 of the CDC Vaccination Program (August 2021). Each of its eight choice tasks had three vaccination alternatives and “no vaccination for 6 months.” An opt-out inflated logit model was estimated to test for respondent differences and attribute effects. Results Respondent demographics were unrelated to one’s willingness to be vaccinated (p value 0.533), but those with less education were more likely to be unwilling (p

Background The 5-level version of the EQ-5D (EQ-5D-5L) was introduced as an improvement on the original 3-level version (EQ-5D-3L). To date, 6 country-specific value sets have been published for EQ-5D-5L and 9 US value sets have been published for other instruments. Our aims were to (1) produce EQ-5D-5L values on a quality-adjusted life year (QALY) scale from the perspective of US adults and (2) compare them with US EQ-5D-3L values and the other country-specific EQ-5D-5L values. Methods In 2016, 8222 US respondents from all 50 states and Washington, DC completed an online survey including a discrete choice experiment with 20 paired comparisons. Each comparison asked respondents, "Which do you prefer?" regarding a pair of alternatives described using EQ-5D-5L and lifespan attributes. On the basis of more than 50 choices on each of the 3160 pairs, we estimated EQ-5D-5L values on a QALY scale and compared them with the US EQ-5D-3L values and the other country-specific EQ-5D-5L values. Results Ranging from -0.287 (55555) to 0.992 (11121) on a QALY scale, the estimated EQ-5D-5L values were similar to the US EQ-5D-3L values. Compared with the US EQ-5D-3L values, the values exhibited greater sensitivity and specificity and higher correlation with the EQ-5D-5L values of other countries, particularly England. Conclusions Like previous US valuation studies, this study produced nationally representative EQ-5D-5L values on a QALY scale. The results further demonstrate the advantages of the EQ-5D-5L over its 3-level predecessor as a preference-based summary measure of health-related quality of life from the perspective of US adults.

Objectives: (1) To produce Peruvian general population EQ-5D-5L value sets on a quality-adjusted life-year scale, (2) to investigate the feasibility of a “Lite” protocol less reliant on the composite time trade-off (cTTO), and (3) to compare cTTO and discrete choice experiment (DCE) value sets. Methods: A random sample of adults (N = 1000) in Lima, Arequipa, and Iquitos did a home interview; 300 were randomly selected to complete 11 cTTOs first. All respondents completed a DCE, including 10 latent-scale pairs (A/B) with 5 EQ-5D-5L attributes, and 12 matched pairs (A/B and B/C) with 5 EQ-5D-5L and one lifespan attributes. We estimated a cTTO heteroscedastic tobit (N = 300) model and 3 DCE Zermelo-Bradley-Terry models (N = 300, 700, and 1000). Results: Each model produced a consistent value set (20 positive incremental parameters). Nevertheless, their lowest quality-adjusted life-year values differed greatly (cTTO: –1.076 [N = 300]; DCE: –0.984 [300], 0.048 [700], –0.213 [1000]). Compared with the cTTO, the DCE (N = 300) produced different parameters (Pearson's correlation = 0.541), fewer insignificant parameters (0 vs 8), and fewer values less than 0 (26% vs 44%). Compared with the DCE (N = 300), the DCE (N = 700) produced higher values but similar parameters (Pearson's correlation = 0.800). Conclusions: Besides producing EQ-5D-5L value sets for Peru, the results casts doubt about the feasibility of a Lite protocol like the one in this study. Additionally, fundamental differences between cTTO and DCE—without the existence of a gold standard—need further clarification. The choice between the two rational value sets produced in the current study is a matter of judgment and may have substantial policy implications. Fil: Augustovski, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina Fil: Belizán, María. Instituto de Efectividad Clínica y Sanitaria; Argentina Fil: Gibbons, Luz. Instituto de Efectividad Clínica y Sanitaria; Argentina Fil: Reyes, Nora. Instituto Nacional de la Salud; Perú Fil: Stolk, Elly. Euroqol Research Foundation; Países Bajos Fil: Craig, Benjamin M.. University of South Florida; Estados Unidos Fil: Tejada, Romina A.. Instituto Nacional de la Salud; Perú

It is critically important to discuss and quantify the economic value of cancer prevention, so that resources can be properly allocated toward its activities. In cancer prevention, there ain’t such thing as a free lunch. Building from four fundamental questions, this chapter provides an overview of how its value can be defined and assessed. Common concepts, such as benefit-risk, cost-effectiveness, budget-impact, and QALY, are explained with examples from the literature.

Immune dysregulation and altered T-cell hemostasis play important roles in the pathogenesis of myelodysplastic syndromes (MDS). Recent studies suggest an increased risk of MDS among patients with autoimmune diseases. Here, we investigated the prevalence of autoimmune diseases among MDS patients, comparing characteristics and outcomes in those with and without autoimmune diseases. From our study group of 1408 MDS patients, 391 (28%) had autoimmune disease, with hypothyroidism being the most common type, accounting for 44% (n = 171) of patients (12% among all MDS patients analyzed). Other autoimmune diseases with ≥5% prevalence included idiopathic thrombocytopenic purpura in 12% (n = 46), rheumatoid arthritis in 10% (n = 41), and psoriasis in 7% (n = 28) of patients. Autoimmune diseases were more common in female MDS patients, those with RA or RCMD WHO subtype, and those who were less dependent on red blood cell transfusion. Median overall survival (OS) was 60 months (95% CI, 50-70) for patients with autoimmune diseases versus 45 months (95% CI, 40-49) for those without (log-rank test, P = 0.006). By multivariate analysis adjusting for revised IPSS and age >60 years, autoimmune diseases were a statistically significant independent factor for OS (HR 0.78; 95% CI, 0.66-0.92; P = 0.004). The rate of acute myeloid leukemia (AML) transformation was 23% (n = 89) in MDS patients with autoimmune disease versus 30% (n = 301) in those without (P = 0.011). Patient groups did not differ in response to azacitidine or lenalidomide treatment. Autoimmune diseases are prevalent among MDS patients. MDS patients with autoimmune diseases have better OS and less AML transformation.

Menopausal symptoms can cause significant distress to women, yet little is known about the value women place on these symptoms.In April 2013, 3397 US women, aged 40 to 69 years, completed an online survey that included 30 paired comparisons. Specifically, respondents were shown two menopausal symptoms described using the Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events and asked, "Which do you prefer?" From their choices, we estimated a generalized linear model to assess the values women place on symptom relief in terms of quality-adjusted life-years (QALYs).Approximately half the respondents (1753 of 3397 [52%]) always preferred a reduced lifespan (up to 90 days) instead of experiencing menopausal symptoms at their worst for 30 days. For most of the symptoms (248 of 263 [94%]), including low-grade events, QALYs were significantly reduced (P0.05). The value women placed on relief ranged widely by symptom domain: the relief from depression, problems with memory, headache, pain in abdomen, problems with anger, and vomiting were the most valuable.Overall, the value women place on menopausal symptom relief is surprisingly high. As the first national study to directly ask women about their preferences and to estimate the value of menopausal symptom relief on a QALY scale, this work provides critical evidence for health outcomes research in midlife women and can be applied in the evaluation of treatments that reduce or eliminate menopausal symptoms. This work also provides proof-of-concept for an approach to value Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events responses on a QALY scale.

Objectives Examining the association between maternal smoking and losses in childhood health-related quality of life due to behavior problems provides parents and policymakers another tool for the valuation of smoking cessation during pregnancy. Methods Using the National Longitudinal Survey of Youth 1979 Child and Young Adult data, this study retrospectively examined a cohort of 4114 women and 8668 children. In addition to questions focusing on maternal smoking and general demographics, each survey included the Behavior Problems Index (BPI), a 28-item questionnaire with six subscales measuring childhood behavior problems (antisocial behavior, anxiousness/depression, headstrongness, hyperactivity, immature dependency, and peer conflict/social withdrawal). Responses to the BPI, completed by mothers with children ages 4–14, were summarized on a QALY scale using published preference weights. Results Children whose mothers smoked during pregnancy experience additional QALY losses of 0.181, on average, per year due to increased behavior problems. Boys suffered larger QALY losses associated with maternal smoking (0.242) compared to girls (0.119; p value = .021), regardless of age. Moreover, heavier smoking during pregnancy (i.e., 1 or more packs/day) was associated with larger QALY losses (0.282; p-value

Background A quality-adjusted life-year is a common unit of measurement in health valuation. Under its constant proportionality assumption, the value of a quality-adjusted life span is defined as the product of preference weight and life span. Objectives To empirically identify an alternative functional relationship between life span and value by relaxing the constant proportionality assumption. Methods Using an online survey, 5367 respondents completed 30 to 40 paired comparisons where each involved a choice between two health outcomes: one with a longer life span and health problems (five-level EuroQol five-dimensional questionnaire) and the other with a shorter life span and no problems (time trade-off pair). Using 2670 pairs, a saturated model with indicator variables for 27 life spans and 90 health problems of varying duration and severity was estimated by maximum likelihood. Its coefficients empirically illustrate the relationship between life span and value on a quality-adjusted life-year scale. Results The results reject constant proportionality ( P β . The estimate of power ( β = 0.415; 95% confidence interval 0.41–0.42) appears to depend on whether life span was expressed in a temporal unit of days (0.403), weeks (0.509), months (0.541), or years (0.654). Conclusions Raising life span to a power less than 1 implies decreasing marginal value of life span and greatly improved model fit, and confirms previous violations of proportionality. This power function may replace conventional assumptions in health valuation studies. Nevertheless, governmental agencies may favor a longer time horizon than that of the general population.

Many economic analyses fail to incorporate evidence on child health-related quality of life because of a paucity of quality-adjusted life year (QALY) estimates. This health valuation study is the first to summarize the EQ-5D-Y on a QALY scale. Drawn from a nationally representative panel, 5207 adult respondents were asked to choose between two losses in child health-related quality of life. Based on their choices, a 1-year increase in child pain/discomfort from 'some' to 'a lot' equals a loss of 4 QALYs (95% CI, 3.8-4.4). Likewise, a 1-year increase in child anxiety/depression from 'a bit' to 'very worried, sad, or unhappy' equals a loss of 2 QALYs (95% CI, 1.9-2.2). These findings enable the integration of child-reported outcomes with adult preferences to inform economic analysis. Results inform both clinical practice and resource allocation decisions by enhancing understanding of difficult tradeoffs in child-reported outcomes. Copyright © 2015 John Wiley & Sons, Ltd.

Introduction Relapse prevention (RP) remains a major challenge to smoking cessation. Previous research found that a set of self-help RP booklets significantly reduced smoking relapse. This study tested the effectiveness of RP booklets when added to the existing services of a telephone quitline. Methods Quitline callers (N = 3458) were enrolled after their 2-week quitline follow-up call and randomized to one of three interventions: (1) Usual Care: standard intervention provided by the quitline, including brief counseling and nicotine replacement therapy; (2) Repeated Mailings (RM): eight Forever Free RP booklets sent to participants over 12 months; and (3) Massed Mailings: all eight Forever Free RP booklets sent upon enrollment. Follow-ups were conducted at 6-month intervals, through 24 months. The primary outcome measure was 7-day-point-prevalence-abstinence. Results Overall abstinence rates were 61.0% at baseline, and 41.9%, 42.7%, 44.0%, and 45.9% at the 6-, 12-, 18- and 24-month follow-ups, respectively. Although RM produced higher abstinence rates, the differences did not reach significance for the full sample. Post-hoc analyses of at-risk subgroups revealed that among participants with high nicotine dependence (n = 1593), the addition of RM materials increased the abstinence rate at 12 months (42.2% vs. 35.2%; OR = 1.38; 95% CI = 1.03% to 1.85%; P = .031) and 24 months (45% vs. 38.8%; OR = 1.31; 95% CI = 1.01% to 1.73%; P = .046). Conclusions Sending self-help RP materials to all quitline callers appears to provide little benefit to deterring relapse. However, selectively sending RP booklets to callers explicitly seeking assistance for RP and those identified as highly dependent on nicotine might still prove to be worthwhile.

Objective To estimate the effect of sequence on response precision and response behavior in health valuation studies. Methods Time trade-off (TTO) and paired comparison responses from six health valuation studies—four US, one Spanish, and one Dutch—were examined (22,225 respondents) to test whether task sequence influences response precision (e.g., rounding), response changes, and median response times. Each study used a computer-based instrument that randomized task sequence among a national sample of adults, age 18 years or older, from the general population. Results For both TTO and paired comparisons, median response times decreased with sequence (i.e., learning), but tended to flatten after the first three tasks. Although the paired comparison evidence demonstrated that sequence had no effect on response precision, the frequency of rounded TTO responses (to either 1-year or 5-year units) increased with sequence. Conclusions Based on these results, randomizing or reducing the number of paired comparison tasks does not appear to influence response precision; however, generalizability, practicality, and precautionary considerations remain. Overall, participants learned to respond efficiently within the first three tasks and did not resort to satisficing, but may have rounded their TTO responses.

Summarizing patient-reported outcomes (PROs) on a quality-adjusted life year (QALY) scale is an essential component to any economic evaluation comparing alternative medical treatments. While multiple studies have compared PRO items and instruments based on their psychometric properties, no study has compared the preference-based summary of the EQ-5D-3L and Patient Reported Outcomes Measurement Information System (PROMIS-29) instruments. As part of this comparison, a major aim of this manuscript is to transform PROMIS-29 utility values to an EQ-5D-3L scale. A nationally representative survey of 2623 US adults completed the 29-item PROMIS health profile instrument (PROMIS-29) and the 3-level version of the EQ-5D instrument (EQ-5D-3L). Their responses were summarized on a health utility scale using published estimates. Using regression analysis, PROMIS-29 and EQ-5D-3L utility weights were compared with each other as well as with self-reported general health. PROMIS-29 utility weights were much lower than the EQ-5D-3L weights. However, a correlation coefficient of 0.769 between the utility values of the two instruments suggests that the main discordance is simply a difference in scale between the measures. It is also possible to map PROMIS-29 utility weights onto an EQ-5D-3L scale. EQ-5D-3L losses equal .1784 × (PROMIS-29 Losses).7286. The published estimates of the PROMIS-29 produce lower utility values than many other health instruments. Mapping the PROMIS-29 estimates to an EQ-5D-3L scale alleviates this issue and allows for a more straightforward comparison between the PROMIS-29 and other common health instruments.

A preference inversion occurs when "worse" health (instead of "better" health) along a scale or score is preferred. Our aim was to confirm past findings of EQ-5D-5L preference inversions among English-speaking respondents and to explore inversions among Portuguese-speaking respondents. Anecdotal evidence suggests that inversions may be more common in the Portuguese version, where the translation of the fourth level "severely" (gravemente) means "gravely."Through an infusion clinic in Tampa, Florida, United States and a cardiology clinic in Rio de Janeiro, Brazil, 740 respondents completed a tablet-based survey, which included the EQ-5D-3L and -5L followed by paired comparisons designed to assess preference inversions between the fourth and fifth levels of each of the five domains: Mobility (MO), Self-Care (SC), Usual Activity (UA), Pain/Discomfort (PD), and Anxiety/Depression (AD). An example from the AD dimension would be: "Which do you prefer? Starting today, 30 days with health problems: Severely anxious or depressed or Extremely anxious or depressed" (i.e., Level 4 AD vs. Level 5 AD).In the English-speaking respondents, preference inversion was only observed to a substantial extent in the AD dimension (U.S. N = 470; 7% MO, 14% SC, 14% UA, 20% PD, and 45% AD). Inversions were more common among the Portuguese-speaking respondents (Brazil N = 270; 11% MO, 32% SC, 35% UA, 49% PD, and 65% AD). Specifically, 44 out of 68 Brazilian respondents (65%) preferred "extremamente" (Level 5 AD) over "gravemente ansioso (a) ou deprimido (a)" (Level 4 AD).This evidence confirms previous findings for the U.S. English version of the EQ-5D-5L and led to a relabeling on the Portuguese version. It demonstrates the usefulness of collaboration between psychometric, econometric, and linguistic experts in developing the wording for and translating preference-based measures of health-related quality of life. Further research may explore inversions in other translations. The authors recommend that preference inversion tests should be included in the development and translation process.

Background: The Spanish five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) valuation study was the first to use the EuroQol Valuation Technology protocol, including composite time trade-off (C-TTO) and discrete choice experiments (DCE). In this study, its investigators noticed that some interviewers did not fully explain the C-TTO task to respondents. Evidence from a follow-up study in 2014 confirmed that when interviewers followed the protocol, the distribution of C-TTO responses widened. Objectives: To handle the data quality issues in the C-TTO responses by estimating a hybrid interval regression model to produce a Spanish EQ-5D-5L value set. Method: Four different models were tested. Model 0 integrated C-TTO and DCE responses in a hybrid model and models 1 to 3 altered the interpretation of the C-TTO responses: model 1 allowed for censoring of the C-TTO responses, whereas model 2 incorporated interval responses and model 3 included the interviewer-specific protocol violations. For external validation, the predictions of the four models were compared with those of the follow-up study using the Lin’s concordance correlation coefficient. Results: This stepwise approach to modeling C-TTO and DCE responses improved the concordance between the valuation and follow-up studies (concordance correlation coefficient: 0.948 [model 0], 0.958 [model 1], 0.952 [model 2], and 0.989 [model 3]). We recommend the estimates from model 3, because its hybrid interval regression model addresses the data quality issues found in the valuation study. Conclusion: Protocol violations may occur in any valuation study; handling them in the analysis can improve external validity. The resulting EQ-5D-5L value set (model 3) can be applied to inform Spanish health technology assessments..

The aim of this study was to test whether the ordering of item labels in EQ-5D instruments disagrees with the preferences of US adults. A preference inversion occurs when “worse” health along a scale or score is preferred. As a sub-study of the 2013 United States Measurement and Valuation of Health Study, we tested for 33 EQ-5D preference inversions using paired comparisons with unique samples of 50 or more US adults, aged 18 or older. Specifically, we tested whether health preferences contradicted ordering of EQ-5D labels. The EQ-5D-3L and EQ-5D-Y item labels had no significant preference inversions. The EQ-5D-5L version had preference inversions between Levels 4 and 5. For example, 30 out of 59 respondents (51 %) preferred being “extremely” over “severely anxious or depressed,” contrary to the ordering of labels for that item. Preference inversions between Levels 4 and 5 on the EQ-5D-5L were tested and confirmed; therefore, valuation studies may find that Levels 4 and 5 have the same value. To mitigate such inversions, labels could be revised or a 4-level version could be considered.

Objectives The EuroQol Group recently released youth (Y) and 5-level (5L) versions of its 3-level EQ-5D instrument (3L) that measures health-related quality of life. In this study, we (1) compare 3L, Y, and 5L responses among US adults and (2) assess construct validity. Study Design and Setting Using a nationally representative sample of US adults ( N = 2,619), we collected 3L, Y, and 5L responses in random order and estimated their associations and their relationship with a 0 to 100 numerical visual analog scale. Results The prevalence of US adults in the best possible EQ-5D state (i.e., 11111) was lower for the Y (38%) and 5L (35%) than for the 3L (44%), capturing more health problems. However, the prevalence of extreme responses in pain/discomfort and anxiety/depression decreased substantially between the 3L and 5L (from 44% to 17% and from 29% to 13%, respectively). Conclusion Compared with the 3L, the Y and 5L versions describe population health as having more, yet milder, health problems. Although the 5L may have advantages in patient populations in which extreme problems are more prevalent, population studies or studies that follow patients from childhood may consider using the Y.

Background Childlessness is a major public health concern in the United States, particularly among educated adults. Among women who turned 45 in 2006, one fifth had no children. We examine the likelihood that a childless woman wants a baby sometime in the future and its determinants. Methods From 2006 to 2010, 5,410 in-person interview surveys were conducted with childless women as part of the National Survey of Family Growth. Age-specific likelihoods of wanting a baby were compared with likelihoods of having a baby before age 45. Female respondents were 1) born after 1960, 2) age 15 to 44, 3) childless (never given birth to a live infant), and 4) not pregnant at time of interview. Findings Most childless women at any age want a baby sometime in the future. By age 32, fewer than half the childless women who want a baby will have one. At age 39, the majority of childless women (73%) still want a baby someday, but only 7% will have one. By age 45, more than 1 in 10 women will be childless, but still want to have a baby. Conclusions Although attitudes toward childlessness have become more positive over time, our findings suggest that the United States is experiencing a high prevalence of childless women who want a baby. Clinicians may consider counseling young women about age-related declines in fertility and the costs and success rates of assisted reproductive echnologies often required for women with advanced maternal age to better inform their career, family, and lifestyle decisions.

Background. The original SF-6D valuation study collected 3503 standard gambled responses from 611 UK respondents to predict quality-adjusted life year (QALY) values. Methods. Using 19,980 paired comparison responses from 666 US respondents and a stacked probit model, the 25 coefficients of the original SF-6D multiattribute utility (MAU) regression were estimated, such that each coefficient represents a QALY decrement. The US QALY predictions were compared with UK predictions using 8428 SF-6D states in the US Medicare Health Outcomes Survey (MHOS), 1998 to 2003. Results. Twenty-two of the 25 decrements in the SF-6D MAU regression are statistically significant. The remaining decrements are insignificant based on US and UK results. The US and UK QALY predictions for the MHOS SF-6D states are remarkably similar given differences in experimental design, format, and sampling (Lin’s coefficient of agreement, 0.941; absolute mean difference, 0.043). Limitations. The underlying theoretical framework for the study design and econometric analysis builds from the episodic random utility model and the concept of QALYs and inherits their limitations. Conclusions. This study enhances the potential for US comparative effectiveness research by translating SF-6D states into US QALYs as well as improves upon discrete choice experiment design and econometric methods for health valuation.

Compared with previous generations in the United States, men today are starting families later in life and having fewer children. As a result birthrates in the United States have dropped sharply, and some men never make the transition into parenthood. Using data from the 2006-2010 National Survey of Family Growth, this study examines the characteristics of childless men in the United States between the ages of 15 and 44 ( N = 6,168) and whether these men want to have a child sometime in the future. Our main finding is that the majority of childless men want a child someday; however, by the age of 45 more than 1 in 7 still remain childless.

Hematological malignancy patients not referred by their primary hematologist/medical oncologist suffer disparate access to allogeneic hematopoietic cell transplantation (HCT). However, investigation into physician, system and patient factors relevant to this decision making is lacking. We surveyed a national randomized sample of practicing hematologists/medical oncologists identified through the AMA (American Medical Association) masterfile. A modified Dillman approach was utilized to encourage survey response. From 1200 surveyed, a total of 113 physicians responded. In all, 68% were male, 62% identified as White/non-Hispanic, 79% practiced in non-academic settings and 80% reported spending 75–100% of their professional effort in clinical care. Using clinical vignettes, we detected significantly increased odds for HCT non-referral according to age (age 60 vs 30, odds ratio (OR) 8.3, 95% confidence interval (CI): 5.9–11.7, P

Background and Objective It is well established that there are problems with the EQ-5D. This is due to the original scoring methods used and how negative time trade-off (TTO) values were treated. A revised scoring method has been published. This article applies this to an inflammatory arthritis cohort. The objective is to examine the impact of a revised scoring system for the EQ-5D (UK) TTO on the utility estimates and in the case of rheumatoid arthritis, to explore the impact of using different utility metrics on the incremental cost-effectiveness ratio (ICER) results of an economic model. Methods A total of 504 patients with inflammatory arthritis were rescored using revised EQ-5D scoring, which uses an episodic random utility model to deal with negative TTO values. Differences in utility scores were compared and the new mapping coefficients were obtained. These were then used in an economic model to examine the impact on the ICER. Results In rheumatoid arthritis, the overall change is less for the revised EQ-5D scoring than with the original EQ-5D (TTO) but greater than the SF-6D: EQ-5D UK −0.22 (95% confidence interval [CI] −0.30 to −0.15), revised EQ-5D UK −0.16 (95% CI −0.21 to −0.10) and SF-6D −0.08 (95% CI −0.11 to −0.05). A similar trend is seen in the psoriatic arthritis group. The economic model produced different ICERs, when different utility measures were used; EQ-5D (TTO) €42,402, SF-6D €111,788, and revised EQ-5D (TTO) €57,747. Conclusion In the context of inflammatory arthritis, this article demonstrates that a revised scoring for EQ-5D may have a significant impact on utility estimates and on the output of the economic model.

In the original US valuation study of EQ-5D states, all worse-than-dead time trade-off responses (26% of the sample) were divided by 39 to increase the QALY estimates. This transformation has no theoretical justification and motivates this re-examination. Using the publically available dataset, we compared three alternative random utility models: instant (IRUM), angular (ARUM), and episodic (ERUM) models. Each leads to a distinct econometric estimator: mean ratio, ratio of means, and coefficient, respectively. IRUM suggests that 203 of the 243 EQ-5D states are worse-than-dead, which has little face validity compared to ARUM and ERUM (42 and 3 WTD states). ARUM and ERUM estimates are proportionally related such that losses in QALYs are approximately 37% larger under ARUM than ERUM. Compared to ERUM, economic evaluations using ARUM estimates emphasize quality of life, and this difference may influence policy decisions. Either ERUM or ARUM values sets are recommended over the original, transformed set. (C) 2011 Elsevier B.V. All rights reserved.

Background: Prominent published and active human papillomavirus (HPV) modelers from around the world were invited to participate in the inaugural Modeling Evidence in HPV (MEHPV) Pre-Conference Workshop on May 9–10, 2009, in Malmo, Sweden. The workshop took place directly before the 25th International Papillomavirus Conference. Objectives: The aim of the workshop was to develop an international network of investigators engaged in HPV modeling and to facilitate open discussion about the structure and parameterization of models, as well as other methodologic concerns. Methods: Thirty-four participants from more than a dozen countries and a variety of settings, representing the authors or coauthors of 82% of the HPV modeling literature, exchanged ideas on fundamental questions in the field. These proceedings, based on the 217-page transcript, were assembled by the Scientific Committee to summarize the ideas of workshop participants in a deidentified, readable fashion. They represent the work and recorded opinions of session participants and do not constitute the official positions of participants as a whole or individually, the Scientific Committee, or any sponsoring organization or entity. Results: In charting a path forward, 3 topics emerged as most pressing: best practices for HPV modeling, comparative modeling, and modeling in developing countries. Conclusion: This summary of the proceedings of the preconference workshop on HPV modeling characterizes many of the prominent contemporary issues in the field.

Objective. To determine the out-of-pocket prices of common opioid analgesics by medication, drug coverage, region, and year. Design. Retrospective cohort study using 1999–2004 data from the Medical Expenditure Panel Survey and the Medicare Current Beneficiary Survey. Setting. U.S. civilian noninstitutionalized population. Patients. Adults not enrolled in Medicaid who filled prescriptions for opioid analgesics between 1999 and 2004. Outcome Measures. Prices of prescribed analgesics were collected from receipts, medication containers, patient recall, and administrative records (N = 20,926 and 31,500, respectively). Results. Average out-of-pocket price of an opioid analgesic prescription was around $10, but the estimate is potentially misleading: A typical adult patient without drug coverage paid $12.86–$61.60 to fill his or her analgesic prescription, depending on medication. The extended-release formulations cost more than double the immediate release prices. For the analgesics studied, drug coverage lowered out-of-pocket prices by 50–85%, while market prices increased at a rate of 5.7–9% per year with little regional variation. Data did not include prices for medications not prescribed or prescribed, but not acquired. Conclusions. Independent of the diagnosis, patients' out-of-pocket price for prescribed analgesics fluctuated freely in the United States across time, region, and coverage status. These fluctuations potentially distort the delivery of effective pain management and further burden an already afflicted population.

The value of a health state is typically described relative to the value of an optimal state, specifically as a ratio ranging from unity (equal to optimal health) to negative infinity. Incorporating potentially infinite values is a challenging issue in the econometrics of health valuation. In this paper, we apply a directional statistics approach based on the assumption of wavering preference. Unlike ratio statistics, directional statistics are based on polar coordinates (angle, radius). The range of angles is bounded between 45 degrees (unity) and negative 90 degrees (i.e., negative infinity); therefore, mean angles are well behaved and negate the impetus behind arbitrary data manipulations. Using time trade-off (TTO) responses from the seminal Measurement and Valuation of Health study, we estimate 243 EQ-5D health state values by minimizing circular variance with and without radial weights. For states with published values greater than zero (i.e., better-than-death), the radially weighted estimates are nearly identical to the published values (Mean Absolute Difference 0.07; Lin's rho 0.94). For worse-than-death states, the estimates are substantially lower than the published values (Mean Absolute Difference 0.186; Lin's rho 0.576). For the worst EQ-5D state (33333), the published value is -0.59 and the directional estimate is -1.11. By taking a directional statistics approach, we circumvent problems inherent to ratio statistics and the systematic bias introduced by arbitrary data manipulations. The predictions suggest that published estimates overvalue severe states. This paper examines TTO responses; however, it may be extended to all forms of health valuation.

textabstractAbstract BACKGROUND: There is rising interest in eliciting health state valuations using rankings. Due to their relative simplicity, ordinal measurement methods may offer an attractive practical alternative to cardinal methods, such as time trade-off (TTO) and visual analog scale (VAS). In this article, we explore alternative models for estimating cardinal health state values from rank responses in a unique multicountry database. We highlight an estimation challenge pertaining to health states just below perfect health (the "nonoptimal gap") and propose an analytic solution to ameliorate this problem. METHODS: Using a standardized protocol developed by the EuroQol Group, rank, VAS, and TTO responses were collected for 43 health states in 8 countries: Slovenia, Argentina, Denmark, Japan, Netherlands, Spain, United Kingdom, and United States, yielding a sample of 179,431 state responses from 11,483 subjects. States were described using the EQ-5D system, which allows for 3 different possible levels on 5 different dimensions of health. We estimated conditional logit and probit regression models for rank responses. The regressions included 17 health state attribute variables reflecting specific levels on each dimension and counts of different levels across dimensions. This flexible specification accommodates previously published valuation models, such as models applied in the United Kingdom and United States. In addition to fitting standard conditional logit and probit models, which assume equal variance across health states (homoscedasticity), we examined a heteroscedastic probit model that assumes no variance for the 2 points anchoring the scale ("optimal health" and "dead") and relaxes the equal-variance assumption for all other states. Rank-based predictions for the 243 unique states defined by the EQ-5D system were compared with predictions from conventional linear models fitted to TTO and VAS responses. RESULTS: By construction, the TTO and VAS models assume no variance around the anchoring states of optimal health and dead. Mimicking this assumption in the probit rank models helps dissolve the nonoptimal gap. For all other states, variances in TTO and VAS were negatively associated with mean values, which contradict the assumption of homoscedasticity. Estimated health state values from the heteroscedastic probit model for the ranking data were highly correlated with predictions from both TTO and VAS models for the 243 EQ-5D states. Between VAS and rank-based estimates, Lin's rho, a measure of agreement, was over 0.98 with a mean absolute difference of 0.028. Corresponding measures of agreement between rank and TTO estimates were 0.96 and 0.12, which is similar to the agreement between VAS and TTO. CONCLUSIONS: Rank-based valuation techniques, which offer advantages of flexibility, generalizability, and ease of administration, may be attractive substitutes for TTO and VAS in the measurement of societal values for health outcomes.

Objective To develop a set of health state values based on EuroQol EQ-5D instrument for the Argentine general population. Methods Consecutive subjects attending six primary care centers in Argentina were selected based on quota sampling and were interviewed using the EuroQol Group protocol for measurement and valuation of health studies. Initially, the respondents were randomly assigned a unique card set; however, to improve efficiency, the subjects were later randomly assigned to one of three fixed sets of EQ-5D states. Using the visual analog scale (VAS) and time-trade off (TTO) responses for these states, we estimated a valuation model using ordinary least squares regression clustered by respondent. Predicted values for EQ-5D health states are compared with published values for the United States. Results Six hundred eleven subjects were interviewed by 14 trained interviewers, rendering 6887 TTO and 6892 VAS responses. The model had an R 2 of 0.897 and 0.928 for TTO and VAS, respectively. The mean absolute difference between observed and predicted values was 0.039 for TTO and 0.020 for VAS, each showing a Lin's concordance coefficient more than 0.98. Argentine and US TTO-predicted values were highly correlated (Pearson's rho=0.963), although the average absolute difference was clinically meaningful (0.06), rejecting the US values for nearly two-thirds of the states (62.8%). The Argentine population placed lower values on mild states and higher values on severe states. Conclusion This study provides an Argentine value set that could be used locally or regionally, with meaningful and significant differences with that of the United States. Health policy in Latin America must incorporate local values for sovereignty and validity.

Objectives: To examine the relationship between ordinal and cardinal valuation of health states. Study Design and Setting: We analyzed rank, visual analog scale (VAS), and time trade-off (TTO) responses for 52 health states defined using the EQ-5D classification system developed by the EuroQol Group. We analyzed 179,431 responses from 11,483 subjects in eight countries: Slovenia, Argentina, Denmark, Japan, Netherlands, Spain, United Kingdom, and United States. We first compared responses across methods by frequency of ties and values below dead. Ordinal associations between methods were evaluated using Spearman's correlation and Kendall's tau. Next, we estimated numerical values from rank responses using country-specific conditional logit models. After anchoring predicted values on a common scale, we further investigated the cardinal relationships between rank, VAS, and TTO-based values using Pearson's rho and quadratic regression. Results: For each country, rank responses are less likely than TTO responses to be tied and to indicate that states are worse than dead. In all countries, rank responses show a strong linear correlation with both TTO (Pearson's rho = 0.88-0.99) and VAS (rho = 0.91-0.98) responses. However, rank-based values imply greater decrements in health for mild states than cardinal values. Conclusions: Illiteracy and innumeracy can hinder implementation of complex preference elicitation techniques in diverse settings and populations. These results indicate that ranking exercises may provide an attractive alternative for health-state valuation. (C) 2008 Elsevier Inc. All rights reserved.

The value of a health state may depend on how long an individual has had to endure the health state (i.e. hedonic load). In this paper, we test the constant proportionality (CP) assumption and determine the sign of relationship between duration and health state value for 42 health states using the nationally representative data from the United Kingdom Measurement and Valuation of Health study. The results reject the CP assumption and suggest that the relationship is negative for optimal health (i.e. fair innings argument) and that the relationship is positive for poorer health states (i.e. adaptation). We find no evidence of the maximum endurable time hypothesis using these data. This evidence on the duration effect has important implications for outcomes research and the economic evaluation of interventions.

Objective The purpose of this study was to assess the accuracy of BMI categories based on self-reported height and weight in adult women. Methods BMI categories from self-reported responses were compared to categories measured during physical examination from women, age 18 or older, who participated in the National Health and Examination Survey, 1999–2004. We first examined strength of agreement using Cohen’s kappa, which, unlike sensitivity and specificity, allows for the comparison of polychotomous measures beyond chance agreement. Kappa regression identifies potential threats to accuracy. Likelihood of bias, as measured by under-reporting, was examined using logistic regression. Results Cohen’s kappa estimates were 0.443 for pregnant women (N = 724) and 0.705 for non-pregnant women (N = 5,910). Kappa varied by age and race, but was largely unrelated to socioeconomic status, health and health behaviors. Women who visited a physician in the last year or been diagnosed with osteoporosis were more accurate, while women most likely to under-report were older, white, non-Hispanic, and college-educated. Conclusions Our results suggest substantial agreement between self-reported and measured categories, except for women who are pregnant, above the age of 75 or without physician visits. Under-reporting may be more prevalent in well-educated, white populations than minority populations.

Objectives To estimate the prevalence and losses in quality-adjusted life years (QALYs) associated with 20 child health conditions. Methods Using data from the 2009–2010 National Survey of Children with Special Health Care Needs, preference weights were applied to 14 functional difficulties to summarize the quality of life burden of 20 health conditions. Results Among the 14 functional difficulties, “a little trouble with breathing” had the highest prevalence (37.1 %), but amounted to a loss of just 0.16 QALYs from the perspective of US adults. Though less prevalent, “a lot of behavioral problems” and “chronic pain” were associated with the greatest losses (1.86 and 3.43 QALYs). Among the 20 conditions, allergies and asthma were the most prevalent but were associated with the least burden. Muscular dystrophy and cerebral palsy were among the least prevalent and most burdensome. Furthermore, a scatterplot shows the association between condition prevalence and burden. Conclusions In child health, condition prevalence is negatively associated with quality of life burden from the perspective of US adults. Both should be considered carefully when evaluating the appropriate role for public health prevention and interventions.

Many breast cancer survivors continue to experience residual symptoms including anxiety, cognitive impairment, depression, fatigue, and pain. In this study, the cost-effectiveness of a Mindfulness-Based Stress Reduction intervention for breast cancer survivors was examined. The cost of the program was assessed from the societal perspective, accounting for both direct medical and patient opportunity costs. The cost per quality-adjusted life year was relatively low compared to the cost-utility findings of other published breast cancer interventions. The program appears to provide for significantly improved health-related quality of life at a comparativelv low cost.

In the original SF-6D valuation study, the analytical design inherited conventions that detrimentally affected its ability to predict values on a quality-adjusted life year (QALY) scale. Our objective is to estimate UK values for SF-6D states using the original data and multi-attribute utility (MAU) regression after addressing its limitations and to compare the revised SF-6D and EQ-5D value predictions.Using the unaltered data (611 respondents, 3503 SG responses), the parameters of the original MAU model were re-estimated under three alternative error specifications, known as the instant, episodic, and angular random utility models. Value predictions on a QALY scale were compared to EQ-5D3L predictions using the 1996 Health Survey for England.Contrary to the original results, the revised SF-6D value predictions range below 0 QALYs (i.e., worse than death) and agree largely with EQ-5D predictions after adjusting for scale. Although a QALY is defined as a year in optimal health, the SF-6D sets a higher standard for optimal health than the EQ-5D-3L; therefore, it has larger units on a QALY scale by construction (20.9 % more).Much of the debate in health valuation has focused on differences between preference elicitation tasks, sampling, and instruments. After correcting errant econometric practices and adjusting for differences in QALY scale between the EQ-5D and SF-6D values, the revised predictions demonstrate convergent validity, making them more suitable for UK economic evaluations compared to original estimates.