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1.
《Value in health》2020,23(3):379-387
ObjectivesTo map the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) onto the EQ-5D-5L in patients with hip or knee osteoarthritis (OA).MethodsA prospective observational study was conducted on 758 patients with hip or knee OA who completed the EQ-5D-5L and WOMAC questionnaires, of whom 644 completed them both again 6 months later. Baseline data were used to derive mapping functions. Generalized additive models were used to identify to which powers the WOMAC subscales should be raised to achieve a linear relationship with the response. For the modeling, general linear models (GLM), Tobit models, and beta regression models were used. Age, sex, and affected joints were also considered. Preferred models were selected based on Akaike and Bayesian information criteria, adjusted R2, mean absolute error (MAE), and root mean squared error (RMSE). The functions were validated with the follow-up data using MAE, RMSE, and the intraclass correlation coefficient.ResultsThe preferred models were a GLM with Pain2+Pain3+Function+Pain·Function as covariates and a beta model with Pain3+Function+Function2+Function3 as covariates. The adjusted R2 were similar (0.6190 and 0.6136, respectively). The predictive performance of these models in the validation sample was similar and both models showed an overprediction for health states worse than death.ConclusionTo our knowledge, these are the first functions mapping the WOMAC onto the EQ-5D-5L in patients with hip or knee OA. They showed an acceptable fit and precision and could be very useful for clinicians and researchers when cost-effectiveness studies are needed and generic preference-based health-related quality of life instruments to derive utilities are not available. 相似文献
2.
《Value in health》2021,24(9):1285-1293
ObjectivesThe original 3-level EQ-5D (EQ-5D-3L) includes 5 dimensions with 3 levels of problems per dimension. Since 2010, a more sensitive version with 5 levels of problems per dimension (EQ-5D-5L) has become available. Population value sets have been developed for both versions of the questionnaire. The objective of this research was to develop a mapping function to link EQ-5D-3L responses to value sets for the EQ-5D-5L.MethodsVarious algorithms were developed to link EQ-5D-3L and EQ-5D-5L responses using data from an observational study including members of 10 subgroups (N = 3580) who completed both versions of the questionnaire. Nonparametric and ordinal logistic regression models were fit to the data and compared using Akaike’s information criterion (AIC) as well as the mean absolute error and root mean squared error of predictions. Results were contrasted qualitatively and quantitatively with those of an alternative copula-based approach.ResultsIncluding indicants of problems for other EQ-5D-3L dimensions as regressors in the modeling yielded the greatest improvement in prediction accuracy. Adding age and gender lowered the AIC without improving predictions, while including a latent factor lowered the AIC further and slightly improved predictive accuracy. Models that conditioned on problems in other EQ-5D-3L dimensions yielded more accurate predictions than the alternative copula-based approach in subgroups defined by age and gender.ConclusionWe present novel algorithms to map EQ-5D-3L responses to EQ-5D-5L value sets. The recommended approach is based on an ordinal logistic regression that disregards age and gender and accounts for unobserved heterogeneity using a latent factor. 相似文献
3.
Background
Preference-based measures of health, such as the three-level EuroQol five-dimensional questionnaire (EQ-5D-3L), are required to calculate quality-adjusted life-years for use in cost-effectiveness analysis, but are often not recorded in clinical studies. In these cases, mapping can be used to estimate preference-based measures.Objectives
To model the relationship between the EQ-5D-3L and the Functional Assessment of Cancer Therapy—Breast Cancer (FACT-B) instrument, comparing indirect and direct mapping methods, and the use of FACT-B summary score versus FACT-B subscale scores.Methods
We used data from three clinical studies for advanced breast cancer providing 11,958 observations with full information on FACT-B and the EQ-5D-3L. We compared direct mapping using adjusted limited dependent variable mixture models (ALDVMMs) with indirect mapping using seemingly unrelated ordered probit models. The EQ-5D-3L was estimated as a function of FACT-B and other patient-related covariates.Results
The use of FACT-B subscale scores was better than using the total FACT-B score. A good fit to the observed data was observed across the entire range of disease severity in all models. ALDVMMs outperformed the indirect mapping. The breast cancer–specific scale had a strong influence in predicting the pain/discomfort and self-care dimensions of the EQ-5D-3L.Conclusions
This article adds to the growing literature that demonstrates the performance of the ALDVMM method for mapping. Regardless of which model is used, the subscales of FACT-B should be included as independent variables wherever possible. The breast cancer–specific subscale of FACT-B is important in predicting the EQ-5D-3L. This suggests that generic cancer measures should not be used for utility mapping in patients with breast cancer. 相似文献4.
《Value in health》2022,25(3):451-460
ObjectivesSeveral studies have shown that patients with heart disease value hypothetical health states differently from the general population. We aimed to investigate the health preferences of patients with heart disease and develop a value set for the 5-level EQ-5D (EQ-5D-5L) based on these patient preferences.MethodsPatients with confirmed heart disease were recruited from 2 hospitals in Singapore. A total of 86 EQ-5D-5L health states (10 per patient) were valued using a composite time trade-off method according to the international valuation protocol for EQ-5D-5L; 20-parameter linear models and 8-parameter cross-attribute level effects models with and without an N45 term (indicating whether any health state dimension at level 4 or 5 existed) were estimated. Each model included patient-specific random intercepts. Model performance was evaluated for out-of-sample and in-sample predictive accuracy in terms of root mean square error. The discriminative ability of the utility values was assessed using heart disease-related functional classes.ResultsA total of 576 patients were included in the analysis. The preferred model, with the lowest out-of-sample root mean square error, was a 20-parameter linear model including N45. Predicted utility values ranged from ?0.727 for the worst state to 1 for full health; the value for the second-best state was 0.981. Utility values demonstrated good discriminative ability in differentiating among patients of varied functional classes.ConclusionsAn EQ-5D-5L value set representing the preferences of patients with heart disease was developed. The value set could be used for patient-centric economic evaluation and health-related quality of life assessment for patients with heart disease. 相似文献
5.
目的了解欧洲五维五水平量表（EQ-5D-5L）在中国慢性乙型肝炎（乙肝）病毒（Hepatitis B Virus,HBV）感染者中的适用性。方法采取整群抽样的方法,从山东省3家医院中连续调查HBV携带者、慢性乙肝（Chronic Hepatitis B,CHB）非活动期、CHB活动期、代偿性肝硬化（Compensated Cirrhosis,CC）、失代偿性肝硬化（Decompensated Cirrhosis,DC）和肝细胞癌（Hepatocellular Carcinoma,HCC）病人各至少100名。病人自填调查表。一周后对住院病人进行复查,询问医生了解病人病情的转归。采用日本模型获得不同病人的健康相关生命质量（Health-Related QualityofLife,HRQoL）,进行效度、信度、敏感度和响应度的评价,使用多重线性回归进行影响因素分析。结果初次调查645人,复查183人。HBV携带者、CHB非活动期、CHB活动期、CC、DC和HCC病人的HRQoL均数分别为0．813、0．808、0．771、0．763、0．699和0．661;除HBV携带者与CHB非活动期、CHB活动期与CC外,不同HBV感染状态HRQoL的差异均有统计学意义;除CHB非活动期外,其他HBV感染状态的HRQoL与视觉模拟标尺均有较高的相关性。对病情稳定的各类病人,前后两次调查HRQoL的差异无统计学意义,且组内相关系数较高;量表存在一定程度的天花板效应;对病情好转的各类病人,第二次调查的HRQoL均显著升高。结论EQ-5D-5L适用于我国慢性HBV感染人群,具有较好的效度、信度和响应度,但敏感度较低,对轻症病人有一定程度的天花板效应。 相似文献
6.
Nan Luo Gordon Liu Minghui Li Haijing Guan Xuejing Jin Kim Rand-Hendriksen 《Value in health》2017,20(4):662-669
Objectives
To estimate a five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) value set for China using the health preferences of residents living in the urban areas of the country.Methods
The values of a subset of the EQ-5D-5L–defined health states (n = 86) were elicited using the time trade-off (TTO) technique from a sample of urban residents (n = 1271) recruited from five Chinese cities. In computer-assisted personal interviews, participants each completed 10 TTO tasks. Two additive and two multiplicative regression models were evaluated for their performance in describing the relationship between TTO values and health state characteristics using a cross-validation approach. Final values were generated using the best-performed model and a rescaling method.Results
The 8- and 9-parameter multiplicative models unanimously outperformed the 20-parameter additive model using a random or fixed intercept in predicting values for out-of-sample health states in the cross-validation analysis and their coefficients were estimated with lower standard errors. The prediction accuracies of the two multiplicative models measured by the mean absolute error and the intraclass correlation coefficient were very similar, thus favoring the more parsimonious model.Conclusions
The 8-parameter multiplicative model performed the best in the study and therefore was used to generate the EQ-5D-5L value set for China. We recommend using rescaled values whereby 1 represents the value of instrument-defined full health in economic evaluation of health technologies in China whenever the EQ-5D-5L data are available. 相似文献7.
Objectives
To explore how the use of EQ-5D-5L value set and crosswalk from EQ-5D-5L to EQ-5D-3L (and use of 3L value set) would affect cost-effectiveness analysis results for England and six other countries (Canada, the Netherlands, China, Japan, South Korea, and Singapore).Methods
Individual-level utilities derived from primary 5L data using both value set (5L) and crosswalk (c5L) approaches were applied to three Markov models assessing the cost-effectiveness of hemodialysis (HD) and peritoneal dialysis (PD) for end-stage renal disease (ESRD) patients to estimate incremental quality-adjusted life years (QALYs). The mathematic functions between incremental QALY and utility were derived.Results
5L- and c5L-based incremental QALYs were similar in the model for non-diabetic patients (range: 1.910–2.149, 1.922–2.121). 5L tends to generate more incremental QALYs than c5L in the model for diabetic patients (range: 1.454–1.633, 1.365–1.568) but fewer incremental QALYs in the model for all ESRD patients (range: 0.290–0.480, 0.315–0.493).In all models, 5L (c5L) generated more incremental QALYs when Chinese (South Korean) value sets were used. The largest and smallest differences in 5L- and c5L-based incremental QALYs were observed when Chinese and Dutch value sets were used. Incremental QALYs was a positive linear function of both utility of PD and difference in utilities of HD and PD.Conclusions
The value set and crosswalk approaches may not be used interchangeably in economic evaluation when EQ-5D-5L data are used to estimate utilities. Results of cost-effectiveness analysis using Markov models may be affected by both absolute utilities and their differences. 相似文献8.
Elly Stolk Kristina Ludwig Kim Rand Ben van Hout Juan Manuel Ramos-Goñi 《Value in health》2019,22(1):23-30
A standardized 5-level EuroQol 5-dimensional questionnaire (EQ-5D-5L) valuation protocol was first used in national studies in the period 2012 to 2013. A set of problems encountered in this initial wave of valuation studies led to the subsequent refinement of the valuation protocol. To clarify lessons learned and how the protocol was updated when moving from version 1.0 to the current version 2.1 and 2.0, this article will (1) present the challenges faced in EQ-5D-5L valuation since 2012 and how these were resolved and (2) describe in depth a set of new challenges that have become central in currently ongoing research on how EQ-5D-5L health states should be valued and modeled. 相似文献
9.
《Value in health》2021,24(11):1651-1659
ObjectivesThere is growing interest in condition-specific preference measures, including the European Organisation for Research and Treatment of Cancer Quality of Life Utility Measure-Core 10 Dimensions (QLU-C10D). This research assessed the implications of using utility indices on the basis of the EQ-5D-3L, a mapping of EQ-5D-3L to the EQ-5D-5L, and the QLU-C10D, and compared their psychometric properties.MethodsData were taken from 8 phase 3 randomized controlled trials of nivolumab with or without ipilimumab for the treatment of solid tumors. Utilities for progression-related states were calculated using the UK and English value sets and incremental quality-adjusted life-years (QALYs) derived from established UK cost-effectiveness models. The psychometric properties of the utility indices were assessed using pooled trial data.ResultsCompared with the EQ-5D-3L index, the mapped EQ-5D-5L index yielded an average of 6% more and the QLU-C10D index an average of 2% fewer incremental QALYs for nivolumab versus comparators. All indices could differentiate between groups defined by performance status, cancer stage, or self-reported health status at baseline and detect meaningful changes in performance status, tumor response, health status, and quality of life over approximately 12 weeks of treatment.ConclusionsThe lower QALY yield of the QLU-C10D was balanced by evidence of greater validity and responsiveness. Benefits gained from using the QLU-C10D may be apparent when treatments affect targeted symptoms and functional aspects, including sleep, bowel function, appetite, nausea, and fatigue. The observed differences in QALYs may not be sufficiently large to affect health technology assessment decisions. 相似文献
10.
Bernadette Li John A. Cairns Heather Draper Christopher Dudley John L. Forsythe Rachel J. Johnson Wendy Metcalfe Gabriel C. Oniscu Rommel Ravanan Matthew L. Robb Paul Roderick Charles R. Tomson Christopher J.E. Watson J. Andrew Bradley 《Value in health》2017,20(7):976-984
Objectives
To report health-state utility values measured using the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) in a large sample of patients with end-stage renal disease and to explore how these values vary in relation to patient characteristics and treatment factors.Methods
As part of the prospective observational study entitled “Access to Transplantation and Transplant Outcome Measures,” we captured information on patient characteristics and treatment factors in a cohort of incident kidney transplant recipients and a cohort of prevalent patients on the transplant waiting list in the United Kingdom. We assessed patients’ health status using the EQ-5D-5L and conducted multivariable regression analyses of index scores.Results
EQ-5D-5L responses were available for 512 transplant recipients and 1704 waiting-list patients. Mean index scores were higher in transplant recipients at 6 months after transplant surgery (0.83) compared with patients on the waiting list (0.77). In combined regression analyses, a primary renal diagnosis of diabetes was associated with the largest decrement in utility scores. When separate regression models were fitted to each cohort, female gender and Asian ethnicity were associated with lower utility scores among waiting-list patients but not among transplant recipients. Among waiting-list patients, longer time spent on dialysis was also associated with poorer utility scores. When comorbidities were included, the presence of mental illness resulted in a utility decrement of 0.12 in both cohorts.Conclusions
This study provides new insights into variations in health-state utility values from a single source that can be used to inform cost-effectiveness evaluations in patients with end-stage renal disease. 相似文献11.
Background
Studies have shown that methods based on mixture models work well when mapping clinical to preference-based methods.Objectives
To develop these methods in different ways and to compare performance in a case study.Methods
Data from 856 patients with asthma allowed mapping between the Asthma Quality of Life Questionnaire and both the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) and the health utilities index mark 3 (HUI3). Adjusted limited dependent variable mixture models and beta-based mixture models were estimated. Optional inclusion of the gap between full health and the next value as well as a mass point at the next feasible value were explored.Results
In all cases, model specifications formally modeling the gap between full health and the next feasible value were an improvement on those that did not. Mapping to the HUI3 required more components in the mixture models than did mapping to the EQ-5D-5L because of its uneven distribution. The optimal beta-based mixture models mapping to the HUI3 included a probability mass at the utility value adjacent to full health. This is not the case when estimating the EQ-5D-5L, because of the low proportion of observations at this point.Conclusions
Beta-based mixture models marginally outperformed adjusted limited dependent variable mixture models with the same number of components in this data set. Nevertheless, they require a larger number of parameters and longer estimation time. Both mixture model types closely fit both EQ-5D-5L and HUI data. Standard mapping approaches typically lead to biased estimates of health gain. The mixture model approaches exhibit no such bias. Both can be used with confidence in applied cost-effectiveness studies. Future mapping studies in other disease areas should consider similar methods. 相似文献12.
Objective
The current five-level EQ-5D (EQ-5D-5L) valuation protocol requires the valuation of 86 states. It has been demonstrated that the selection of empirically valued health states affects the extrapolated values in three-level EQ-5D (EQ-3D-3L). In this investigation, we aim to compare the performance of the current EQ-5D-5L valuation design with other designs.Study Design
1603 university students participated in a valuation study using a visual analog scale (VAS) to produce values for all EQ-5D-5L states. Different designs were generated to test their prediction accuracy.Methods
Subsamples of the dataset were used to mimic data obtained from a particular design; the remaining dataset was used as the validation set. In addition to EuroQol Group Valuation Technology (EQ-VT) design, alternative subsamples and designs were created using random, orthogonal, and “optimizing D-efficiency” sampling methods. The root mean squared error (RMSE) was used as the measure of prediction accuracy.Results
The EuroQol Group Valuation Technology (EQ-VT) design showed an average RMSE of 3.44 on EQ-VAS, for all 3125 health states combined. Notably, a 25-state orthogonal design performed similarly to the EQ-VT design, with a smaller RMSE of 3.40, and was thus the most efficient design. One caveat with respect to the orthogonal design was that it did not predict the mild states well.Conclusions
Our study supports the EQ-VT design. Smaller designs were identified with similar overall prediction accuracy. It is worth investigating whether issues with misprediction of mild states can be resolved, as the use of smaller size designs would reduce the cost of the valuation of EQ-5D-5L considerably. 相似文献13.
《Value in health》2020,23(7):928-935
ObjectivesMappings to convert clinical measures to preference-based measures of health such as the EQ-5D-3L are sometimes required in cost-utility analyses. We developed mappings to convert best-corrected visual acuity (BCVA) to the EQ-5D-3L, the EQ-5D-3L with a vision bolt-on (EQ-5D V), and the Visual Functioning Questionnaire-Utility Index (VFQ-UI) in patients with macular edema caused by central retinal vein occlusion.MethodsWe used data from Lucentis, Eylea, Avastin in vein occlusion (LEAVO), which is a phase-3 randomized controlled trial comparing ranibizumab, aflibercept, and bevacizumab in 463 patients with observations at 6 time points. We estimated adjusted limited dependent variable mixture models consisting of 1 to 4 distributions (components) using BCVA in each eye, age, and sex to predict utility within the components and BCVA as a determinant of component membership. We compared model fit using mean error, mean absolute error, root mean square error, Akaike information criteria, Bayesian information criteria, and visual inspection of mean predicted and observed utilities and cumulative distribution functions.ResultsMean utility scores were 0.82 for the EQ-5D-3L, 0.79 for the EQ-5D V, and 0.88 for the VFQ-UI. The best-fitting models for the EQ-5D and EQ-5D V had 2 components (with means of approximately 0.44 and 0.85), and the best-fitting model for VFQ-UI had 3 components (with means of approximately 0.95, 0.74, and 0.90).ConclusionsModels with multiple components better predict utility than those with single components. This article provides a valuable addition to the literature, in which previous mappings in visual acuity have been limited to linear regressions, resulting in unfounded assumptions about the distribution of the dependent variable. 相似文献
14.
目的:分析EQ-5D-3L和ICECAP-A量表评价我国普通人群生命质量的差异以及对干预方案价值评价的影响,为研究者选择合适的生命质量测量工具提供参考。方法:采用配额抽样选取802名受访者进行生命质量评价,并分别采用因子分析、多分格相关性和Bland-Altman plot一致性分析等方法探讨两量表测量结果的差异。结果:Wilcoxon秩和检验表明EQ-5D-3L量表的健康效用均值高于ICECAP-A量表的测量结果;ICECAP-A量表五个维度均主要加载于反映社会心理健康的因子1,而EQ-5D-3L量表的大部分维度主要加载于反映生理健康的因子2。部分维度之间也存在显著的相关性,但均较弱。两量表效用值的ICC为0.32,一致性分析显示5.74%的受访者超出了95%的一致性界限。结论:前者的测量内涵是健康相关生命质量,而后者则反映的是幸福感、可行能力等更广义的生命质量,其对于旨在提升公众广义幸福感和社会福祉的干预措施效果评估方面具有较好的适用性。研究者可根据测量目的及量表属性选择合适的量表,鉴于两个量表在测量内涵中的互补性,也可以在研究中同时采用两种量表以便更全面地反映干预措施的效果或受访者的生命质量。 相似文献
15.
《Value in health》2023,26(7):1045-1056
ObjectivesWe aimed to compare measurement properties of the 5-level version of EQ-5D (EQ-5D-5L) and 2 Patient-Reported Outcomes Measurement Information System (PROMIS) short forms, PROMIS-29+2 and PROMIS Global Health (PROMIS-GH-10), and of EQ-5D-5L and PROMIS-preference scoring system (PROPr) utilities.MethodsA cross-sectional survey was conducted in a general population sample in Hungary (N = 1631). We compared the following measurement properties at the level of items, domains, and utilities, the latter using corresponding US value sets: ceiling and floor, informativity (Shannon’s indices), agreement, convergent, and known-group validity. For the analyses, PROMIS items/domains were matched to EQ-5D-5L domains that cover similar concepts of health.ResultsThe majority of PROMIS items showed enhanced distributional characteristics, including lower ceilings and higher informativity than the EQ-5D-5L. Good convergent validity was established between EQ-5D-5L and PROMIS domains capturing similar aspects of health. Mean EQ-5D-5L utilities were substantially higher than those of PROPr (0.864 vs 0.535). EQ-5D-5L utilities correlated moderately or strongly with PROPr (r = 0.61), PROMIS-GH-10 physical (r = 0.68), and mental health summary scores (r = 0.53). EQ-5D-5L utilities decreased with age, whereas PROPr utilities slightly increased with age. EQ-5D-5L utilities discriminated significantly better in 12/28 (ratio of F-statistics) and 18/26 (area under the receiver-operating characteristics curve ratio) known groups defined by age, self-perceived health status, and self-reported physician-diagnosed health conditions, including hypertension, diabetes, coronary heart disease, chronic kidney disease, and stroke.ConclusionsThis study provides comparative evidence on the measurement properties of EQ-5D-5L, PROMIS-29+2, and PROMIS-GH-10 and informs decisions about the choice of instruments in population health surveys for assessment of patients’ health and for cost-utility analyses. 相似文献
16.
Nathan S. McClure Fatima Al Sayah Feng Xie Nan Luo Jeffrey A. Johnson 《Value in health》2017,20(4):644-650
Background
The five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) is a preference-based measure of health-related quality of life (HRQOL), which yields an index score anchored at 0 (dead) and 1 (full health). We lack evidence on estimates for the minimally important difference (MID) of the EQ-5D-5L that will help in interpreting differences or changes in HRQOL measured by this scale score.Objectives
To estimate the MID of the EQ-5D-5L index score for available scoring algorithms including algorithms from Canada, China, Spain, Japan, England, and Uruguay.Methods
A simulation-based approach based on instrument-defined single-level transitions was used to estimate the MID values of the EQ-5D-5L for each country-specific scoring algorithm.Results
The simulation-based instrument-defined MID estimates (mean ± SD) for each country-specific scoring algorithm were as follows: Canada, 0.056 ± 0.011; China, 0.069 ± 0.007; Spain, 0.061 ± 0.008; Japan, 0.048 ± 0.004; England, 0.063 ± 0.013; and Uruguay, 0.063 ± 0.019. Differences in MID estimates reflect differences in population preferences, in valuation techniques used, as well as in modeling strategies. After excluding the maximum-valued scoring parameters, the MID estimates (mean ± SD) were as follows: Canada, 0.037 ± 0.001; China, 0.058 ± 0.005; Spain, 0.045 ± 0.009; Japan, 0.044 ± 0.004; England, 0.037 ± 0.008; and Uruguay, 0.040 ± 0.010.Conclusions
Simulation-based estimates of the MID of the EQ-5D-5L index score were generally between 0.037 and 0.069, which are similar to the MID estimates of other preference-based HRQOL measures. 相似文献17.
Nathan S. McClure Fatima Al Sayah Arto Ohinmaa Jeffrey A. Johnson 《Value in health》2018,21(9):1090-1097
Background
The EuroQol five-dimensional questionnaire (EQ-5D) is a generic preference-based measure of health-related quality of life, and several studies have made attempts to estimate the minimally important difference (MID) for the EQ-5D index score.Objectives
To estimate the MID of the five-level EQ-5D (EQ-5D-5L) index score in a population-based sample of adults with type 2 diabetes and to explore whether the MID estimate varies by baseline index score and the direction of change in health status.Methods
We used longitudinal survey data of adults with type 2 diabetes in Alberta, Canada. The EQ-5D-5L MID was estimated first by the instrument-defined approach, which used the difference between the baseline index scores and the index scores of simulated single-level transitions, and then by the anchor-based approach, which categorized 1-year changes in depressive symptoms, diabetes-related distress, as well as physical and mental health functioning into no change, small change, and large change groups, wherein the MID was estimated as the average change in index score of the small change group.Results
Using the instrument-defined approach, MID estimates were 0.043, 0.040, and 0.045, whereas anchor-based MID estimates were 0.042, 0.034, and 0.049 for all change, improvement, and deterioration, respectively. Larger MID estimates were observed for lower baseline index scores and for deterioration in health status.Conclusions
MID estimates of the EQ-5D-5L index score were consistent between instrument-defined and anchor-based approaches and ranged between 0.03 and 0.05. Estimates varied by baseline index score and the direction of change, with similar results for patient subgroups. 相似文献18.
《Value in health》2021,24(12):1720-1727
ObjectivesStudies face challenges with missing 5-level EQ-5D (EQ-5D-5L) data, often because of the need for longitudinal EQ-5D-5L data collection. There is a dearth of validated methodologies for dealing with missing EQ-5D-5L data in the literature. This study, for the first time, examined the possibility of using retrospectively collected EQ-5D-5L data as proxies for the missing data.MethodsParticipants who had prospectively completed a 3rd month postdischarge EQ-5D-5L instrument (in-the-moment collection) were randomly interviewed to respond to a 2nd “retrospective collection” of their 3rd month EQ-5D-5L at 6th, 9th, or 12th month after hospital discharge. A longitudinal single imputation was also used to assess the relative performance of retrospective collection compared with the longitudinal single imputation. Concordances between the in-the-moment, retrospective, and imputed measures were assessed using intraclass correlation coefficients and weighted kappa statistics.ResultsConsiderable agreement was observed on the basis of weighted kappa (range 0.72-0.95) between the mobility, self-care, and usual activities dimensions of EQ-5D-5L collected in-the-moment and retrospectively. Concordance based on intraclass correlation coefficients was good to excellent (range 0.79-0.81) for utility indices computed, and excellent (range 0.93-0.96) for quality-adjusted life-years computed using in-the-moment compared with retrospective EQ-5D-5L. The longitudinal single imputation did not perform as well as the retrospective collection method.ConclusionsThis study demonstrates that retrospective collection of EQ-5D-5L has high concordance with “in-the-moment” EQ-5D-5L and could be a valid and attractive alternative for data imputation when longitudinally collected EQ-5D-5L data are missing. Future studies examining this method for other disease areas and populations are required to provide more generalizable evidence. 相似文献
19.
Background
For many countries, the three-level EuroQol five-dimensional questionnaire (EQ-5D-3L) value sets have been established to estimate health state utilities. To generate these value sets, researchers first collect values for a subset of preselected health states from a panel representing the general public, and then use a prediction algorithm to generate values for all 243 states. High prevalence of a health state in daily practice has historically been a key criterion in selecting a subset of health states as the observed set. More recently, other criteria have been suggested, especially approaches based on statistical criteria such as randomization and orthogonality.Objectives
To evaluate the validity and accuracy of both the earlier and newer criteria, in terms of prediction of values for all the health states and of the values of common health states in particular.Methods
We used a pre-existing data set that contained visual analogue scale values from 126 students, each of whom valued all 243 EQ-5D-3L states. Then, we generated a series of designs and subsequently modeled the data with respect to each design. Some of these designs were used in the past; for example, the Measurement and Valuation of Health approach was included. Others were newly generated. The performance of different designs was evaluated in terms of the lowest root mean squared error for all health states taken together, and separately for common and rare states. Classification as common or rare was based on the frequency of the states’ occurrence in three patient and population data sets pooled together (N = 5269).Results
The orthogonal design with 54 health states produced the lowest root mean squared errors. Over-representation of common health states in a design did not improve the estimations for these states. The published designs performed the worst, whereas the random selection designs were good on average. Nevertheless, the performance of the random selection designs showed more variance compared with orthogonal designs, because some of the former designs did not display appropriate balance.Conclusions
The published designs gave rise to large estimation errors for the extrapolated EQ-5D-3L health states. The orthogonal design focusing on statistical efficiency showed its superiority. Overall, when weighing up design properties, increased statistical efficiency outweighs an increased error rate, if any, in rare health states. 相似文献20.
Fredrick Dermawan Purba Joke A.M. Hunfeld Reinier Timman Aulia Iskandarsyah Titi Sahidah Fitriana Sawitri S. Sadarjoen Jan Passchier Jan J.V. Busschbach 《Value in health》2018,21(10):1243-1249