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Purpose: Traditionally, researchers have relied on eliciting preferences through face-to-face interviews. Recently, there has been a shift towards using internet-based methods. Different methods of data collection may be a source of variation in the results. In this study, we compare the preferences for the Adult Social Care Outcomes Toolkit (ASCOT) service user measure elicited using best-worst scaling (BWS) via a face-to-face interview and an online survey.Methods: Data were collected from a representative sample of the general population in England. The respondents (face-to-face: n = 500; online: n = 1001) completed a survey, which included the BWS experiment involving the ASCOT measure. Each respondent received eight best-worst scenarios and made four choices (best, second best, worst, second worst) in each scenario. Multinomial logit regressions were undertaken to analyse the data taking into account differences in the characteristics of the two samples and the repeated nature of the data.Results: We initially found a number of small significant differences in preferences between the two methods across all ASCOT domains. These differences were substantially reduced-from 15 to 5 out of 30 coefficients being different at the 5% level-and remained small in value after controlling for differences in observable and unobservable characteristics of the two samples.Conclusions: This comparison demonstrates that face-to-face and internet surveys may lead to fairly similar preferences for social care-related quality of life when differences in sample characteristics are controlled for. With or without a constant sampling frame, studies should carefully design the BWS exercise and provide similar levels of clarification to participants in each survey to minimise the amount of error variance in the choice process. [ABSTRACT FROM AUTHOR]

Objective To investigate novel systemic sclerosis (SSc) autoantibodies in autoantibody-negative patients and establish clinical associations. Methods Serum samples and clinical data for 548 patients with SSc were collected. Routine serologic techniques were used to test the serum samples for known SSc autoantibodies, and samples with negative results were further investigated by radiolabeled-protein immunoprecipitation assay. Sera that immunoprecipitated a novel 30-kd band were analyzed by indirect immunofluorescence and immunoprecipitation, using depleted cell extracts to establish a common reactivity. Mass spectrometry was performed to identify the novel autoantigen, and the results were confirmed using commercial antibodies. Sera from 426 patients with other forms of connective tissue disease, 103 with rheumatoid arthritis, 114 with idiopathic interstitial lung disease (ILD), and 150 healthy subjects were serotyped as controls. Results A novel autoantigen with a molecular weight of ∼30 kd was recognized by 7 sera from patients with SSc, 6 of whom had ILD, and by no controls. Six of the patients had diffuse cutaneous involvement, and 4 had overlap features with other autoimmune diseases. Immunodepletion experiments indicated that all samples targeted the same autoantigen, and mass spectrometry identified the novel autoantigen as eukaryotic initiation factor 2B (eIF2B). Conclusion We report the identification of a novel autoantibody (anti-eIF2B) in a small number of patients with SSc (∼1%); this autoantibody is closely associated with diffuse cutaneous manifestations and the presence of ILD. [ABSTRACT FROM AUTHOR]

Background: There is increasing interest in assessing the effects of interventions on older people, people with long-term conditions and their informal carers for use in economic evaluation. The Adult Social Care Outcomes Toolkit for Carers (ASCOT-Carer) is a measure that specifically assesses the impact of social care services on informal carers. To date, the ASCOT-Carer has not been preference-weighted.Objectives: To estimate preference-based index values for the English version of the ASCOT-Carer from the general population in England.Methods: The ASCOT-Carer consists of 7 domains, each reflecting aspects of social care-related quality of life in informal carers. Preferences for the ASCOT-Carer social care-related quality of life states were estimated using a best-worst scaling exercise in an online survey. The survey was administered to a sample of the general adult population in England (n = 1000). Participants were asked to put themselves into the hypothetical state of being an informal carer and indicate which attribute they thought was the best (first and second) and worst (first and second) from a profile list of 7 attributes reflecting the 7 domains, each ranging at a different level (1-4). Multinomial logit regression was used to analyze the data and estimate preference weights for the ASCOT-Carer measure.Results: The most valued aspect by English participants was the 'occupation' attribute at its highest level. Results further showed participants rated having no control over their daily life as the lowest attribute-level of all those presented. The position of the 7 attributes influenced participants' best and worst choices, and there was evidence of both scale and taste heterogeneity on preferences.Conclusion: This study has established a set of preference-based index values for the ASCOT-Carer in England derived from the best-worst scaling exercise that can be used for economic evaluation of interventions on older individuals and their informal carers. [ABSTRACT FROM AUTHOR]