Zoekresultaten

Identifying and visualizing relevant deviations in longitudinal sensor patterns for care professionals

Sensor technology is increasingly applied for the purpose of monitoring elderly’s Activities of Daily Living (ADL), a set of activities used by physicians to benchmark physical and cognitive decline. Visualizing deviations in ADL can help medical specialists and nurses to recognize disease symptoms at an early stage. This paper presents possible visualizations for identifying such deviations. These visualizations have been iteratively explored and developed with three different medical specialists to better understand which deviations are relevant according to the different medical specialisms and explore how these deviations should be best presented. The study results suggest that the participants found a monthly bar graph in which activities are represented by colours as the most suitable from the ones presented. Although the visualizations of every ADL was found to be more or less relevant by the different medical specialists, the preference for focusing on specific ADL’s varied from specialist to specialist.

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Policy makers are looking for effective ways to promote the adoption of electric vehicles (EVs). Among the options is the roll-out and management of charging infrastructure to meet the EV drivers’ refuelling needs. However, policies in this area do not only have a long-term effect on the adoption of EVs among prospective owners, they also have short-term impacts on the usage of public charging infrastructure among current EV owners and vice-versa. Presently, studies focusing on both effects simultaneously are lacking, missing out on possible cross-pollination between these areas. This study uniquely combines stated and revealed preference data to estimate the effect of particular policy measures aimed at EV adoption, on the one hand, and charging behaviour, on the other. Using a large dataset (1.7 million charging sessions) related to charging behaviour using public charging infrastructure in the Netherlands we quantify the effects of (i) daytime-parking (to manage parking pressure) and (ii) free parking (to promote purchase of EVs) policies on charging behaviour. To estimate the effects of these particular policies on EV purchase intentions, a stated choice experiment was conducted among potential EV-buyers. Results show that cross-pollinations between EV charging and adaptation policies exist and should be taken into account when designing policies for EV adoption.

How Serious Is Debt Among Probation Clients?

Although studies point to a relationship between debt and crime, there is a limited understanding of their reciprocal relationship and possible mediating risk factors. Moreover, knowledge about the prevalence and scope of debt among offenders is lacking. Therefore, the present study analyzed 250 client files including risk assessment data from the Dutch probation service on the prevalence of debt and possibly related risk factors. The results show that debt is highly prevalent and complex, which underlines the importance of acquiring more knowledge about debt as a potential risk factor for relapse during supervision. It was found that problems with regard to childhood and living situation, education and work/daytime activities, and mental and physical health may be possible underlying risk factors in the relationship between debt and crime. These insights can help professionals adequately support clients with regard to debt in order to prevent recidivism. debt and crime. These insights can help professionals adequately support clients with regard to debt in order to prevent recidivism.

How Serious Is Debt Among Probation Clients? A Study Into the Prevalence and Scope of Debt in a Dutch Probation Sample

Although studies point to a relationship between debt and crime, there is a limited understanding of their reciprocal relationship and possible mediating risk factors. Moreover, knowledge about the prevalence and scope of debt among offenders is lacking. Therefore, the present study analyzed 250 client files including risk assessment data from the Dutch probation service on the prevalence of debt and possibly related risk factors. The results show that debt is highly prevalent and complex, which underlines the importance of acquiring more knowledge about debt as a potential risk factor for relapse during supervision. It was found that problems with regard to childhood and living situation, education and work/daytime activities, and mental and physical health may be possible underlying risk factors in the relationship between debt and crime. These insights can help professionals adequately support clients with regard to debt in order to prevent recidivism

Tourist activities description. SASTDes WP3.6 Report

Identifying social participation subgroups of individuals with severe mental illnesses

PURPOSE: To investigate factors that influence participation in and needs for work and other daytime activities among individuals with severe mental illnesses (SMI). METHODS: A latent class analysis using routine outcome monitoring data from 1069 patients was conducted to investigate whether subgroups of individuals with SMI can be distinguished based on participation in work or other daytime activities, needs for care in these areas, and the differences between these subgroups. RESULTS: Four subgroups could be distinguished: (1) an inactive group without daytime activities or paid employment and many needs for care in these areas; (2) a moderately active group with some daytime activities, no paid employment, and few needs for care; (3) an active group with more daytime activities, no paid employment, and mainly met needs for care; and (4) a group engaged in paid employment without needs for care in this area. Groups differed significantly from each other in age, duration in MHC, living situation, educational level, having a life partner or not, needs for care regarding social contacts, quality of life, psychosocial functioning, and psychiatric symptoms. Differences were not found for clinical diagnosis or gender. CONCLUSIONS: Among individuals with SMI, different subgroups can be distinguished based on employment situation, daytime activities, and needs for care in these areas. Subgroups differ from each other on patient characteristics and each subgroup poses specific challenges, underlining the need for tailored rehabilitation interventions. Special attention is needed for individuals who are involuntarily inactive, with severe psychiatric symptoms and problems in psychosocial functioning.