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Abstract: There is interest in the use of discrete choice experiments that include a duration attribute (DCETTO) to generate health utility values, but questions remain on its feasibility in large health state descriptive systems. This study examines the stability of DCETTO to estimate health utility values from the five-level EQ-5D, an instrument with depicts 3125 different health states. Between January and March 2011, we administered 120 DCETTO tasks based on the five-level EQ-5D to a total of 1799 respondents in the UK (each completed 15 DCETTO tasks on-line). We compared models across different sample sizes and different total numbers of observations. We found the DCETTO coefficients were generally consistent, with high agreement between individual ordinal preferences and aggregate cardinal values. Keeping the DCE design and the total number of observations fixed, subsamples consisting of 10 tasks per respondent with an intermediate sized sample, and 15 tasks with a smaller sample provide similar results in comparison to the whole sample model. In conclusion, we find that the DCETTO is a feasible method for developing values for larger descriptive systems such as EQ-5D-5L, and find evidence supporting important design features for future valuation studies that use the DCETTO. [Copyright &y& Elsevier]

Objectives. To understand the impact of the early years of RA on all aspects of work productivity, and determine how this is related to clinical markers. Previous research on work productivity has examined predominantly early retirement and absenteeism. The impact of reduced work performance (presenteeism) and activity impairment is less well understood in early RA populations.Methods. Working patients enrolled in an RA inception cohort were recruited into a nested study. A questionnaire incorporating the Work Productivity and Activity Impairment (WPAI) instrument was administered with a number of clinical outcomes, including the Multidimensional Health Assessment Questionnaire (MD-HAQ) and scales for pain, fatigue and patient assessment of disease patient global assessment (PtGA).Results. Analysis included 150 RA patients, with the mean age at onset being 48 years (s.d. 10 years) and disease duration from symptom onset being 49 months. Patients had relatively mild disease: MD-HAQ (0.6), pain (3.6), PtGA (3.6) and fatigue (4.6). Of the 92% patients working for pay, 19% reported missing work (absenteeism) in the past week due to their health, accounting for 46% of their working time. Even while at work, ∼25% of actual hours was lost due to poor health, while outside work 33% of patients’ regular daily activities were prevented. In multivariate analyses, disease severity was associated with the presence of absenteeism, presenteeism and activity impairment. Patients able to self-schedule their work had lower presenteeism and activity impairment.Conclusions. Productivity loss is common in patients in the first years of RA who are in paid work and was associated with work characteristics and adverse clinical outcomes. [ABSTRACT FROM PUBLISHER]

Abstract: Objective: Existing productivity questionnaires do not capture sufficient information to enable the proper valuation of an individual''s productivity loss to a society. The purpose of this article is to develop a questionnaire that captures the time lost from work due to a health problem and job and workplace characteristics so that the value of productivity loss to society can be calculated. Methods: First, a questionnaire battery was developed by selecting items from existing productivity questionnaires. Next, items with similar content were identified and duplications were eliminated. Third, the draft questionnaire''s feasibility was pretested in a focus group (n = 15). Finally, after appropriate refinements, its applicability was tested in 140 employed patients with rheumatoid arthritis recruited from a cohort in the United Kingdom. Multipliers relating the wage to marginal productivity were also derived using the questionnaire. Results: The final questionnaire includes items on employment status; absenteeism; presenteeism; unpaid work; and job characteristics, which includes questions on team dynamics, availability of substitutes and their substitutability, time sensitivity, and compensation mechanisms. The importance of incorporating these questions demonstrated that when one employee was absent, or present at work but unable to work at full capacity, the consequent output loss could exceed the output of the employee alone. Multipliers were shown to be greater than one and represented the excess output loss. Conclusions: The new questionnaire enabled the job and workplace characteristics to be captured so that the actual productivity loss at the societal level attributable to absenteeism and presenteeism could be valued. [Copyright &y& Elsevier]

The article presents a study which tested the validity and reliability of the Valuation of Lost Productivity (VOLP) questionnaire in the measurement of time input loss among people with rheumatoid arthritis (RA). The study measured presenteeism, absenteeism, and unpaid work loss due to health factors in 152 patients. The results of the study showed evidence that VOLP is valid after obtaining correlations.

The Sheffield RA health economic model has been used in several published cost-effectiveness analyses in both the UK and internationally to evaluate different treatments for patients with RA. This article presents the key methods and assumptions that underpin the model, including justifications for using an individual patient sampling methodology, and why the model has used the HAQ to track disease activity. The article also details how trial and observational data are used in the model to address specific questions. The model has been used to support health policy in both the UK and internationally, although the limited evidence still provides a challenge when using an economic model to determine the cost-effectiveness of RA treatments. The results of analyses using the Sheffield RA model are presented. The limitations of the model are discussed, and improvements are continually required to provide a model that is appropriate to address health economic questions in the future. The Sheffield RA model continues to be used and refined, and allows health economic questions to be answered using a transparent and flexible modelling methodology. [ABSTRACT FROM PUBLISHER]

International deployment of remote monitoring and virtual care (RMVC) technologies would efficiently harness their positive impact on outcomes. Since Canada and the United Kingdom have similar populations, health care systems, and digital health landscapes, transferring digital health innovations between them should be relatively straightforward. Yet examples of successful attempts are scarce. In a workshop, we identified 6 differences that may complicate RMVC transfer between Canada and the United Kingdom and provided recommendations for addressing them. These key differences include (1) minority groups, (2) physical geography, (3) clinical pathways, (4) value propositions, (5) governmental priorities and support for digital innovation, and (6) regulatory pathways. We detail 4 broad recommendations to plan for sustainability, including the need to formally consider how highlighted country-specific recommendations may impact RMVC and contingency planning to overcome challenges; the need to map which pathways are available as an innovator to support cross-country transfer; the need to report on and apply learnings from regulatory barriers and facilitators so that everyone may benefit; and the need to explore existing guidance to successfully transfer digital health solutions while developing further guidance (eg, extending the nonadoption, abandonment, scale-up, spread, sustainability framework for cross-country transfer). Finally, we present an ecosystem readiness checklist. Considering these recommendations will contribute to successful international deployment and an increased positive impact of RMVC technologies. Future directions should consider characterizing additional complexities associated with global transfer., (©Quynh Pham, David Wong, Kaylen J Pfisterer, Dionne Aleman, Nick Bansback, Joseph A Cafazzo, Alexander J Casson, Brian Chan, William Dixon, Gerasimos Kakaroumpas, Claudia Lindner, Niels Peek, Henry WW Potts, Barbara Ribeiro, Emily Seto, Charlotte Stockton-Powdrell, Alexander Thompson, Sabine van der Veer. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 01.08.2023.)

Objective: An updated version of the SF-6D Classification System (SF-6Dv2) has been developed, and utility value sets are required. The aim of this study was to test the development of a United Kingdom SF-6Dv2 value set, and address limitations of the existing SF-6D value set (which results in a narrow range of utilities). This was done using 2 discrete-choice experiment (DCE) tasks. Interactions and preference heterogeneity were also investigated., Research Design and Subjects: An online sample of respondents (n=3014) completed 10 DCE with duration choice sets from an efficient design of 300 (Design 1) and 2 DCE with duration choice sets including immediate death from a set of 60 (Design 2). Conditional logit regression was used to estimate value set models with and without interactions. We investigated preference heterogeneity using latent class models., Results: Models including ordered coefficients within each dimension were developed, with the favored model including an additional interaction term when one dimension was at the most severe level. Value sets differed across Designs 1 and 2. Design 1 models had a wider utility range and a higher proportion of negative values. The most important dimensions were pain, mental health, and physical functioning. Preference heterogeneity was apparent, with a 2-class model describing the data., Conclusions: We developed and applied a protocol to value the SF-6Dv2 using DCE. The results provide a provisional value set for use in resource allocation. The protocol can be applied internationally. Further work should investigate how to account for preference heterogeneity in value set production.