Factors affecting visual analysis in single-case designs

Visual inspection remains the most frequently applied method for detecting treatment effects in single-case designs. The advantages and limitations of visual inference are here discussed in relation to other procedures for assessing intervention effectiveness. The first part of the paper reviews previous research on visual analysis, paying special attention to the validation of visual analysts" decisions, inter-judge agreement, and false alarm and omission rates. The most relevant factors affecting visual inspection (i.e., effect size, autocorrelation, data variability, and analysts" expertise) are highlighted and incorporated into an empirical simulation study with the aim of providing further evidence about the reliability of visual analysis. Our results concur with previous studies that have reported the relationship between serial dependence and increased Type I rates. Participants with greater experience appeared to be more conservative and used more consistent criteria when assessing graphed data. Nonetheless, the decisions made by both professionals and students did not match sufficiently the simulated data features, and we also found low intra-judge agreement, thus suggesting that visual inspection should be complemented by other methods when assessing treatment effectiveness.

Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain

Hospital expenses are a major cost driver of healthcare systems in Europe, with motor injuries being the leading mechanism of hospitalizations. This paper investigates the injury characteristics which explain the hospitalization of victims of traffic accidents that took place in Spain. Using a motor insurance database with 16.081 observations a generalized Tobit regression model is applied to analyse the factors that influence both the likelihood of being admitted to hospital after a motor collision and the length of hospital stay in the event of admission. The consistency of Tobit estimates relies on the normality of perturbation terms. Here a semi-parametric regression model was fitted to test the consistency of estimates, concluding that a normal distribution of errors cannot be rejected. Among other results, it was found that older men with fractures and injuries located in the head and lower torso are more likely to be hospitalized after the collision, and that they also have a longer expected length of hospital recovery stay.

Factors affecting foster care breakdown in Spain

La ruptura del acogimiento familiar se ha definido como aquella situación en la que alguna de las partes implicadas causa una terminación de la intervención antes de haber alcanzado los objetivos establecidos en el plan de caso. Este trabajo presenta un estudio llevado a cabo en una muestra española de 318 casos cerrados de niños que fueron acogidos en familia ajena y extensa. Los datos se obtuvieron a través de la revisión exhaustiva de los expedientes de protección y acogimiento, complementada conentrevistas a los técnicos encargados de cada caso. La tasa de ruptura del conjunto de la muestra fue de 26,1%, si bien fuesignificativamente diferente en familia extensa (19,7%) que en familia ajena (31,2%). Los resultados de este estudio indican que las variables relacionadas con la ruptura dependen de la modalidad del acogimiento, en familia ajena o extensa. En el primer caso destacamos las variables relacionadas con las características del niño, especialmente los problemas de conducta y escolares, con especial relevancia en el grupo de 9-12 años, y el haber estado en acogimiento residencial previamente. En cambio, en extensaresulta más importante la problemática en los padres (prisión, salud mental) y el tener una medida de tutela. También el hecho de que se realice el acogimiento tras pasar por hogares de acogida resulta trascendental. Finalmente, la disponibilidad de recursos económicos e incluso los estudios de los acogedores parecen ser variables relacionadas con la ruptura de la acogida