PurposeTo define importance values assigned to attributes of biological agents (BAs) by Spanish patients with rheumatic diseases (rheumatoid arthritis, ankylosing spondylitis, and psoriatic arthritis) and rheumatologists.Patients and methodsThis was an observational, cross-sectional design based upon a rank-based full-profile conjoint analysis. A literature review and four focus groups were undertaken to identify attributes and levels. An orthogonal matrix, combining the selected levels of attributes, was used to define scenarios. Participants ranked eight scenarios from 1 (most preferred) to 8 (least preferred). The relative importance (RI) of attributes was calculated. Multivariate regression analysis was performed to identify the characteristics that influenced the values of RI. A total of 488 patients (male 50.9%, mean age 50.6 [standard deviation {SD} 12.06] years, rheumatoid arthritis 33.8%, ankylosing spondylitis 32.4%, psoriatic arthritis 33.8%; mean time since diagnosis 12.6 [SD 8.2] years) and 136 rheumatologists (male 50.4%, mean age 46.4 [SD 9.1] years, mean time of practice 16.7 [SD 8.8] years) participated.ResultsThe ideal BAs for patients and physicians, respectively, should allow pain relief and improvement of functional capacity (RI 39% and 44.7%), with low risk of adverse events (RI 24.9% and 30.5%), a long time prior to perceiving the need for a new dose (RI 16.4% and 12.4%), and self-administration at home (RI 19.7% and 12.5%), as identified through their preferences.ConclusionAlthough efficacy and safety are paramount for patients and rheumatologists to make a choice regarding BAs, the need for a low frequency of administration and the administration method also play a role as preference attributes for BAs.
This paper analyzes the generation and composition of municipal solid waste in Spanish towns and cities with more than 5000 inhabitants, which altogether account for 87 % of the Spanish population. To do so, the total composition and generation of municipal solid waste fractions were obtained from 135 towns and cities. Homogeneity tests revealed heterogeneity in the proportions of municipal solid waste fractions from one city to another. Statistical analyses identified significant differences in the generation of glass in cities of different sizes and in the generation of all fractions depending on the hydrographic area. Finally, linear regression models and residuals analysis were applied to analyze the effect of different demographic, geographic, and socioeconomic variables on the generation of waste fractions. The conclusions show that more densely populated towns, a hydrographic area, and cities with over 50,000 inhabitants have higher waste generation rates, while certain socioeconomic variables (people/car) decrease that generation. Other socioeconomic variables (foreigners and unemployment) show a positive and null influence on that waste generation, respectively.
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