Feedbackmodel voor blended learning

Dit project liep vanaf oktober 2005 en is februari 2006 met deze projectrapportage afgeslotenHet geven van feedback aan grote aantallen studenten via contactonderwijs staat onder druk vanwege het arbeidsintensieve karakter (en daaraan verbonden kosten). Maar ook bij kleinere aantallen studenten via afstandsonderwijs moet naar alternatieve feedbackvormen worden gezocht. Waarmee moet je rekening houden bij feedback binnen blended learning? Wanneer moet de docent in interactie met studenten op maat gesneden feedback geven? Welke rol kan aan computers en virtuele leeromgevingen worden toebedacht? Dit document bevat de beschrijving van een ‘feedbackmodel’ als stapsgewijze werkwijze bij de bepaling van de functies en middelen van feedback, inclusief richtlijnen en vragen bij de invulling van concrete organisatievormen De bruikbaarheid en waardering van dit feedbackmodel is op beperkte schaal bij potentiële gebruikers getoetst en bij experts bevraagd. Vanuit dit commentaar Worden aanbevelingen gedaan voor vervolgprojecten, die op deze verkenning van de problematiek kunnen voortbouwen.Digital Unversity Consortium (www.du.nl

A Review and Classification of Approaches for Dealing with Uncertainty in Multi-Criteria Decision Analysis for Healthcare Decisions

The Author(s) 2015. This article is published with open access at Springerlink.com Abstract Multi-criteria decision analysis (MCDA) is increasingly used to support decisions in healthcare involving multiple and conflicting criteria. Although uncertainty is usually carefully addressed in health eco-nomic evaluations, whether and how the different sources of uncertainty are dealt with and with what methods in MCDA is less known. The objective of this study is to review how uncertainty can be explicitly taken into account in MCDA and to discuss which approach may be appro-priate for healthcare decision makers. A literature review was conducted in the Scopus and PubMed databases. Two reviewers independently categorized studies according to research areas, the type of MCDA used, and the approach used to quantify uncertainty. Selected full text articles wer

Pioneering Quality Assessment in European Cancer Centers: A Data Analysis of the Organization for European Cancer Institutes Accreditation and Designation Program

Purpose: In order to improve the quality of care in Cancer Centers (CC) and designate Comprehensive Cancer Centers (CCCs), the Organization for European Cancer Institutes (OECI) launched an Accreditation and Designation (A&D) program. The program facilitates the collection of defined data and the assessment of cancer center quality. This study analyzes the results of the first 10 European centers that entered the program. \ud \ud Methods: The assessment included 927 items divided across qualitative and quantitative questionnaires. Data collected during self-assessment and peer-review from the 10 first participating centers were combined in a database for comparative analysis using simple statistics. Quantitative and qualitative results were validated by auditors during the peer review visits. \ud \ud Results: Volumes of various functions and activities dedicated to care, research, and education varied widely among centers. There were no significant differences in resources for radiology, radiotherapy, pathologic diagnostic, and surgery. Differences were observed in the use of clinical pathways but not for the practices of holding multidisciplinary team meetings and conforming to guidelines. Regarding human resources, main differences were in the composition and number of supportive care and research staff. All 10 centers applied as CCCs; five obtained the label, and five were designated as CCs. \ud \ud Discussion: The OECI A&D program allows comparisons between centers with regard to management, research, care, education, and designation as CCs or CCCs. Through the peer review system, recommendations for improvements are given. Assessing the added value of the program, as well as research and patient treatment outcomes, is the next ste

Best packing of rods into boxes

AbstractWe determine the maximum number of 1 × 1 x … × 1 × n rods which will fit inside an arbitrary d-dimensional rectangular box, on condition that they be packed parallel to the edges of the box

Analysing the attributes of Comprehensive Cancer Centres and Cancer Centres across Europe to identify key hallmarks.

There is a persistent variation in cancer outcomes among and within European countries suggesting (among other causes) inequalities in access to or delivery of high-quality cancer care. European policy (EU Cancer Mission and Europe's Beating Cancer Plan) is currently moving towards a mission-oriented approach addressing these inequalities. In this study, we used the quantitative and qualitative data of the Organisation of European Cancer Institutes' Accreditation and Designation Programme, relating to 40 large European cancer centres, to describe their current compliance with quality standards, to identify the hallmarks common to all centres and to show the distinctive features of Comprehensive Cancer Centres. All Comprehensive Cancer Centres and Cancer Centres accredited by the Organisation of European Cancer Institutes show good compliance with quality standards related to care, multidisciplinarity and patient centredness. However, Comprehensive Cancer Centres on average showed significantly better scores on indicators related to the volume, quality and integration of translational research, such as high-impact publications, clinical trial activity (especially in phase I and phase IIa trials) and filing more patents as early indicators of innovation. However, irrespective of their size, centres show significant variability regarding effective governance when functioning as entities within larger hospitals