e-Research and Jurisdiction

As part of their daily activities, those involved in e-research will often transfer information, including background materials, research results and software, across state and national borders. The act of transferring information across state and national borders raises a number of jurisdictional issues. This chapter will discuss key issues regarding intellectual property, privacy and dispute resolution as they arise from eresearchers transferring information across state and national borders, and how these issues may contractually be resolved

External validation and updating of prediction models for estimating the 1-year risk of low health-related quality of life in colorectal cancer survivors

Objectives Timely identification of colorectal cancer (CRC) survivors at risk of experiencing low health-related quality of life (HRQoL) in the near future is important for enabling appropriately tailored preventive actions. We previously developed and internally validated risk prediction models to estimate the 1-year risk of low HRQoL in long-term CRC survivors. In this article, we aim to externally validate and update these models in a population of short-term CRC survivors. Study Design and Setting In a pooled cohort of 1,596 CRC survivors, seven HRQoL domains (global QoL, cognitive/emotional/physical/role/social functioning, and fatigue) were measured prospectively at approximately 5 months postdiagnosis (baseline for prediction) and approximately 1 year later by a validated patient-reported outcome measure (European Organization for Research and Treatment of Cancer Quality of life Questionnaire–Core 30). For each HRQoL domain, 1-year scores were dichotomized into low vs. normal/high HRQoL. Performance of the previously developed multivariable logistic prediction models was evaluated (calibration and discrimination). Models were updated to create a more parsimonious predictor set for all HRQoL domains. Results Updated models showed good calibration and discrimination (AUC ≥0.75), containing a single set of 15 predictors, including nonmodifiable (age, sex, education, time since diagnosis, chemotherapy, radiotherapy, stoma, and comorbidities) and modifiable predictors (body mass index, physical activity, smoking, anxiety/depression, and baseline fatigue and HRQoL domain scores). Conclusion Externally validated and updated prediction models performed well for estimating the 1-year risk of low HRQoL in CRC survivors within 6 months postdiagnosis. The impact of implementing the models in oncology practice to improve HRQoL outcomes in CRC survivors needs to be evaluated

Asynchronous telemedicine applications in the rehabilitation of acquired speech-language disorders in neurological patients

Contains fulltext : 149320.pdf (publisher's version ) (Open Access)10 p

Potentials of Telehealth Devices for Speech Therapy in Parkinson's Disease

Contains fulltext : 338462.pdf (author's version ) (Open Access) Contains fulltext : 338463.pdf (publisher's version ) (Open Access

E-learning based Speech Therapy (EST): Exploring the potentials of e-health for dysarthric speakers

Contains fulltext : 101662.pdf (Publisher’s version ) (Open Access)Radboud Universiteit Nijmegen, 21 november 2012Promotores : Rietveld, A.C.M., Geurts, A.C.H.289 p

Automatic Recognition Of Dutch Dysarthric Speech, A Pilot Study

Contains fulltext : 76211.pdf (author's version ) (Open Access)ICSLP 2002, 16 september 20024 p

A tool for assessing auditory discrimination abilities in dysarthric patients: Selecting dysarthric patients for E-learning based Speech Therapy

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A Dutch Dysarthric Speech Database for Individualized Speech Therapy Research

Contains fulltext : 162432.pdf (publisher's version ) (Open Access)The International Conference on Language Resources and Evaluation (LREC) 2016, 23 mei 201