Objective: To explore predictors of dropout of patients with chronic musculoskeletal pain from an interdisciplinary chronic pain management programme, and to develop and validate a multivariable prediction model, based on the Extended Common- Sense Model of Self-Regulation (E-CSM). Methods: In this prospective cohort study consecutive patients with chronic pain were recruited and followed up (July 2013 to May 2015). Possible associations between predictors and dropout were explored by univariate logistic regression analyses. Subsequently, multiple logistic regression analyses were executed to determine the model that best predicted dropout. Results: Of 188 patients who initiated treatment, 35 (19%) were classified as dropouts. The mean age of the dropout group was 47.9 years (standard deviation 9.9). Based on the univariate logistic regression analyses 7 predictors of the 18 potential predictors for dropout were eligible for entry into the multiple logistic regression analyses. Finally, only pain catastrophizing was identified as a significant predictor. Conclusion: Patients with chronic pain who catastrophize were more prone to dropout from this chronic pain management programme. However, due to the exploratory nature of this study no firm conclusions can be drawn about the predictive value of the E-CSM of Self-Regulation for dropout.
In this paper we will describe and present the results of an experiment at the Fontys University of Professional Education in which engineering students work together with students from other disciplines in a multidisciplinary group at the end of their study on a real-life environmental problem outside the university. Since 1994 there has been a possibility for engineering students to graduate in this way, in a multidisciplinary group. First a rough sketch will be given of the background and the educational model. In this sketch attention will be paid to the different role which the student as well as the teacher play in this kind of education. The characteristics of this model will be explained. Then it will be made clear what the results were in the past years with respect to content as well as to the learning of skills. At the end some conclusions will be given.
BackgroundThe world’s population is aging, and with aging population comes an increase of chronic diseases and multimorbidity. At the same time a shortfall of trained health care professionals is anticipated. This raises questions on how to provide the best possible care. The use of Information and communication technology (ICT) and e-health has the potential to address the challenges that healthcare is facing. ICT applications and e-health, such as videophones, telemedicine and mobile devices, can benefit the healthcare system. Nonetheless, ICT is not used to its full potential. One of the key factors is the low adoption rate by nursing professionals. The nursing profession is characterized by teamwork and interdisciplinary collaboration. Nurses often work in nursing teams and collaboration between different disciplines is necessary for providing health care. Thus, collaboration is necessary when implementing ICT innovations.MethodsA systematic literature review was conducted in online databases PubMEd, CINAHL and IEEE, using key words related to innovation, nursing teams and adoption.ResultsThe result of the systematic review is that little is known about the relation between ICT adoption by nurses and the nature of collaboration by nurses in teams and in interdisciplinary networks. This leads to further research questions and a need for further research in this subject.