714 research outputs found
From a different angle: A novel approach to health valuation
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
New methods for modelling EQ-5D-5L value sets: an application to English data
Background: The EQ-5D is a widely used questionnaire that describes and values health related quality of life. Recently, a five level version was developed. Updated methods to estimate values for all health states are required.
Data: 996 respondents representative of the English general population completed Time Trade-Off (TTO) and Discrete Choice Experiment (DCE) tasks.
Methods: We estimate models, with and without interactions, using DCE data only; TTO data only; and TTO/DCE data combined. TTO data are interpreted as both left and right censored. Heteroskedasticity and preference heterogeneity between individuals is accounted for. We use maximum likelihood estimation in combination with Bayesian methods. The final model is chosen using the deviance information criterion (DIC).
Results: Censoring and taking account of heteroskedasticity has important effects on parameter estimation. Regarding DCE, models with different dimension parameters and similar level parameters are best. Considering models for both TTO and DCE/TTO combined, models with parameters for all dimensions and levels perform best, as judged by the DIC. Taking account of heterogeneity improves fit, and a three latent group multinomial model has the lowest DIC.
Conclusion: Studies to elicit values for the EQ-5D-5L need new approaches to estimate the underlying value function. This paper presents approaches which suit the characteristics of these data and recognise preference heterogeneity
Mix and match. A simulation study on the impact of mixed-Treatment comparison methods on health-economic outcomes
Background Decision-Analytic cost-effectiveness (CE) models combine many parameters, often obtained after meta-Analysis. Aim We compared different methods of mixed-Treatment comparison (MTC) to combine transition and event probabilities derived from several trials, especially with respect to health-economic (HE) outcomes like (quality adjusted) life years and costs. Methods Trials were drawn from a simulated reference population, comparing two of four fictitious interventions. The goal was to estimate the CE between two of these. The amount of heterogeneity between trials was varied in scenarios. Parameter estimates were combined using direct comparison, MTC methods proposed by Song and Puhan, and Bayesian generalized linear fixed effects (GLMFE) and random effects models (GLMRE). Parameters were entered into a Markov model. Parameters and HE outcomes were compare
A five-year model to assess the early cost-effectiveness of new diagnostic tests in the early diagnosis of rheumatoid arthritis
__Background:__ There is a lack of information about the sensitivity, specificity and costs new diagnostic tests should have to improve early diagnosis of rheumatoid arthritis (RA). Our objective was to explore the early cost-effectiveness of various new diagnostic test strategies in the workup of patients with inflammatory arthritis (IA) at risk of having RA.
__Methods:__ A decision tree followed by a patient-level state transition model, using data from published literature, cohorts and trials, was used to evaluate diagnostic test strategies. Alternative tests were assessed as add-on to or replacement of the ACR/EULAR 2010 RA classification criteria for all patients and for intermediate-risk patients. Tests included B-cell gene expression (sensitivity 0.60, specificity 0.90, costs €150), MRI (sensitivity 0.90, specificity 0.60, costs €756), IL-6 serum level (sensitivity 0.70, specificity 0.53, costs €50) and genetic assay (sensitivity 0.40, specificity 0.85, costs €750). Patients with IA at risk of RA were followed for 5 years using a societal perspective. Guideline treatment was assumed using tight controlled treatment based on DAS28; if patients had a DAS28 >3.2 at 12 months or later patients could be eligible for starting biological drugs. The outcome was expressed in incremental cost-effectiveness ratios (€2014 per quality-adjusted life year (QALY) gained) and headroom.
__Results:__ The B-cell test was the least expensive strategy when used as an add-on and as replacement in intermediate-risk patients, making it the dominant strategy, as it has better health outcomes and lower costs. As add-on for all patients, the B-cell test was also the most cost-effective test strategy. When using a willingness-to-pay threshold of €20,000 per QALY gained, the IL-6 and MRI
Quality Control Process for EQ-5D-5L Valuation Studies
Background: The values of the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) are elicited using composite time trade-off and discrete choice experiments. Unfortunately, data quality issues and interviewer effects were observed in the first few EQ-5D-5L valuation studies. To prevent these issues from occurring in later studies, the EuroQol Group established a cyclic quality control (QC) process. Objectives: To describe this QC process and show its impact on data quality. Methods: A newly developed QC tool provided information about protocol compliance, interviewer effects, and mean values by health state severity. In a cyclic process, this information is initially used to evaluate whether new interviewers meet minimal quality requirements and later to provide feedback about how their performance may be improved. To investigate the impact of this cyclic process, we compared the quality of the data in Dutch and Spanish valuation studies that did not have this QC process with that in the follow-up studies in the same countries that used the QC process. Data quality was measured using protocol violations, variability between interviewers, the proportion of inconsistent responders, and clustering of composite time trade-off values. Results: In Spain, protocol violations were reduced from 87% in the valuation study to 5% in the follow-up study and in the Netherlands from 20% to 8%. In both countries, interviewers performed more homogeneously in the follow-up studies. The number of inconsistent respondents was reduced by 23.2% in Spain and 23.6% in the Netherlands. Values were less clustered in the follow-up studies. Conclusions: The implementation of a strict QC process in EQ-5D-5L valuation studies increases interviewer protocol compliance and promotes data quality
Service Learning: Discovering Effective Communication Strategies by Emphasizing the Community\u27s Perspective
Service learning is a broadly defined term that may encompass a spectrum of projects and course work ranging from acts of charity to activism for social change. The aim of service learning is always to heighten awareness in our communities that we have the capacity to both learn from and serve each other... and work toward a more just and egalitarian society (bttp://www.invcol.pdx.edulic.htm). Another description of service learning from Brevard Community College\u27s The Power (1994) explains that, for many community organizations, students augment service delivery, meet crucial human needs, and provide a basis for future citizen support. The Power depicts community service as an opportunity for students to enrich and apply classroom knowledge; explore careen or majors; develop civic and cultural literacy; improve citizenship and develop occupational skills; enhance personal growth and self-image; establish job links; and foster a concern for social problems. This introduction to community service leads to a sense of social responsibility and commitment to public and human service. Although the researcher will discuss service learning in explicit detail in Chapter Two, a brief sketch is warranted here to introduce the reader to the concept
Multinational Evidence of the Applicability and Robustness of Discrete Choice Modeling for Deriving EQ-5D-5L Health-State Values
Aims: To investigate the feasibility of discrete choice experiments
for valuing EQ-5D-5L states using computer-based data collection,
the consistency of the estimated regression coefficients produced
after modeling the preference data, and to examine the similarity of
the values derived across countries.
Methods: Data were collected in Canada, England, The Netherlands,
and the United States (US). Interactive software was developed
to standardize the format of the choice tasks across countries,
except for face-to-face interviewing in England. The choice task
required respondents to choose between 2 suboptimal health states.
A Bayesian design was used to generate 200 pairs of states that
were randomly grouped into 20 blocks. Each respondent completed
1 block of 10 pairs. A main-effects probit model was used to estimate
regression coefficients and to derive values.
Results: Approximately 400 respondents participated from each
country. The mean time to perform 1 choice task was between 29.2
(US) and 45.2 (England) seconds. All regression coefficients were
statistically significant, except level 2 for Usual Activities in The
Netherlands (P = 0.51). Predictions for the complete set of 3125
EQ-5D-5L health states were similar for the 4 countries. Intraclass
correlation coefficients between the countries were high: from 0.80
(England vs. US) through 0.98 (Canada vs. US).
Conclusions: Derivation of value sets from the general population
using computer-based choice tasks for the EQ-5D-5L is feasible.
Parameter estimates were generally consistent and logical, and
health-state values were similar across the 4 countries
Prospect for new guidance in the design of FRP
Over the last twenty years, many innovative solutions have confirmed the usefulness of composite structures realized with FRPs (Fibre Reinforced Polymer or Plastic). The need of European standards for use of fibre-reinforced polymer composites in civil engineering was justified in 2007 in the JRC Report EUR 22864 EN. The new European technical rules will be developed using the existing organization of CEN/TC250.
The present report has been worked out in the frame of CEN/TC250/WG4 activities. The report encompasses:
• Part I, which introduces the policy framework and the CEN/TC250 initiative
• Part II, which gives a prospect for CEN guidance for the design and verification of composite structures realized with FRPs
The report presents scientific and technical background intended to stimulate debate and serves as a basis for further work to achieve a harmonized European view on the design and verification of such structures. This has been the main impulse to include the work item of the Fibre Reinforced Polymer Structures in the Mandate M/515 with high priority.JRC.G.4-European laboratory for structural assessmen
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