BACKGROUND: To evaluate whether a training programme is a feasible approach to facilitate occupational health professionals' (OHPs) use of knowledge and skills provided by a guideline.METHODS: Feasibility was evaluated by researching three aspects: 'acceptability', 'implementation' and 'limited efficacy'. Statements on acceptability and implementation were rated by OHPs on 10-point visual analogue scales after following the training programme (T2). Answers were analysed using descriptive statistics. Barriers to and facilitators of implementation were explored through open-ended questions at T2, which were qualitatively analysed. Limited efficacy was evaluated by measuring the level of knowledge and skills at baseline (T0), after reading the guideline (T1) and directly after completing the training programme (T2). Increase in knowledge and skills was analysed using a non-paramatric Friedman test and post-hoc Wilcoxon signed rank tests (two-tailed).RESULTS: The 38 OHPs found the training programme acceptable, judging that it was relevant (M: 8, SD: 1), increased their capability (M: 7, SD: 1), adhered to their daily practice (M: 8, SD: 1) and enhanced their guidance and assessment of people with a chronic disease (M: 8, SD: 1). OHPs found that it was feasible to implement the programme on a larger scale (M: 7, SD: 1) but foresaw barriers such as 'time', 'money' and organizational constraints. The reported facilitators were primarily related to the added value of the knowledge and skills to the OHPs' guidance and assessment, and that the programme taught them to apply the evidence in practice. Regarding limited efficacy, a significant increase was seen in OHPs' knowledge and skills over time (X2 (2) = 53.656, p < 0.001), with the median score improving from 6.3 (T0), 8.3 (T1) and 12.3 (T2). Post-hoc tests indicated a significant improvement between T0 and T1 (p < 0.001) and between T1 and T2 (p < 0.001).CONCLUSIONS: The training programme was found to be a feasible approach to facilitate OHPs' use of knowledge and skills provided by the guideline, from the perspective of OHPs generally (acceptability and implementation) and with respect to their increase in knowledge and skills in particular (limited efficacy).
DOCUMENT
Martien Visser concludeert dat er feitelijk bijzonder weinig reden is veel stampij te maken over de taxonomierichtlijn van de Europese Commissie, omdat die de weg baant naar zeer forse CO2-reducties.
LINK
This guide was developed for designers and developers of AI systems, with the goal of ensuring that these systems are sufficiently explainable. Sufficient here means that it meets the legal requirements from AI Act and GDPR and that users can use the system properly. Explainability of decisions is an important requirement in many systems and even an important principle for AI systems [HLEG19]. In many AI systems, explainability is not self-evident. AI researchers expect that the challenge of making AI explainable will only increase. For one thing, this comes from the applications: AI will be used more and more often, for larger and more sensitive decisions. On the other hand, organizations are making better and better models, for example, by using more different inputs. With more complex AI models, it is often less clear how a decision was made. Organizations that will deploy AI must take into account users' need for explanations. Systems that use AI should be designed to provide the user with appropriate explanations. In this guide, we first explain the legal requirements for explainability of AI systems. These come from the GDPR and the AI Act. Next, we explain how AI is used in the financial sector and elaborate on one problem in detail. For this problem, we then show how the user interface can be modified to make the AI explainable. These designs serve as prototypical examples that can be adapted to new problems. This guidance is based on explainability of AI systems for the financial sector. However, the advice can also be used in other sectors.
DOCUMENT
MULTIFILE
Current guidelines on secondary prevention of cardiovascular disease recommend nurse-coordinated care (NCC) as an effective intervention. However, NCC programmes differ widely and the efficacy of NCC components has not been studied. To investigate the efficacy of NCC and its components in secondary prevention of coronary heart disease by means of a systematic review and meta-analysis of randomised controlled trials. 18 randomised trials (11 195 patients in total) using 15 components of NCC met the predefined inclusion criteria. These components were placed into three main intervention strategies: (1) risk factor management (13 studies); (2) multidisciplinary consultation (11 studies) and (3) shared decision making (10 studies). Six trials combined NCC components from all three strategies. In total, 30 outcomes were observed. We summarised observed outcomes in four outcome categories: (1) risk factor levels (16 studies); (2) clinical events (7 studies); (3) patient-perceived health (7 studies) and (4) guideline adherence (3 studies). Compared with usual care, NCC lowered systolic blood pressure (weighted mean difference (WMD) 2.96 mm Hg; 95% CI 1.53 to 4.40 mm Hg) and low-density lipoprotein cholesterol (WMD 0.23 mmol/L; 95% CI 0.10 to 0.36 mmol/L). NCC also improved smoking cessation rates by 25% (risk ratio 1.25; 95% CI 1.08 to 1.43). NCC demonstrated to have an effect on a small number of outcomes. NCC that incorporated blood pressure monitoring, cholesterol control and smoking cessation has an impact on the improvement of secondary prevention. Additionally, NCC is a heterogeneous concept. A shared definition of NCC may facilitate better comparisons of NCC content and outcomes.
MULTIFILE
BACKGROUND: Sarcopenic obesity significantly burdens health and autonomy. Strategies to intervene in or prevent sarcopenic obesity generally focus on losing body fat and building or maintaining muscle mass and function. For a lifestyle intervention, it is important to consider psychological aspects such as behavioral change techniques (BCTs) to elicit a long-lasting behavioral change.PURPOSE: The study was carried out to analyze BCTs used in exercise and nutritional interventions targeting community-dwelling adults around retirement age with sarcopenic obesity.METHODS: We conducted an analysis of articles cited in an existing systematic review on the effectiveness of exercise and nutritional interventions on physiological outcomes in community-dwelling adults around retirement age with sarcopenic obesity. We identified BCTs used in these studies by applying a standardized taxonomy.RESULTS: Only nine BCTs were identified. Most BCTs were not used intentionally (82 %), and those used derived from the implementation of lifestyle components, such as exercise classes ("instructions on how to perform a behavior," "demonstration of the behavior," "behavioral practice/rehearsal," and "body changes"). Only two studies used BCTs intentionally to reinforce adherence in their interventions.CONCLUSIONS: Few studies integrated BCTs in lifestyle interventions for community-dwelling persons around retirement age with sarcopenic obesity. Future studies on interventions to counteract sarcopenic obesity should include well-established BCTs to foster adherence and, therefore, their effectiveness.
DOCUMENT
Background A variety of options and techniques for causing implicit and explicit motor learning have been described in the literature. The aim of the current paper was to provide clearer guidance for practitioners on how to apply motor learning in practice by exploring experts’ opinions and experiences, using the distinction between implicit and explicit motor learning as a conceptual departure point. Methods A survey was designed to collect and aggregate informed opinions and experiences from 40 international respondents who had demonstrable expertise related to motor learning in practice and/or research. The survey was administered through an online survey tool and addressed potential options and learning strategies for applying implicit and explicit motor learning. Responses were analysed in terms of consensus ( 70%) and trends ( 50%). A summary figure was developed to illustrate a taxonomy of the different learning strategies and options indicated by the experts in the survey.
MULTIFILE
Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research community on whether user evaluation is crucial in XAI, and if so, what exactly needs to be evaluated and how. This systematic literature review addresses this gap by providing a detailed overview of the current state of affairs in human-centered XAI evaluation. We reviewed 73 papers across various domains where XAI was evaluated with users. These studies assessed what makes an explanation “good” from a user’s perspective, i.e., what makes an explanation meaningful to a user of an AI system. We identified 30 components of meaningful explanations that were evaluated in the reviewed papers and categorized them into a taxonomy of human-centered XAI evaluation, based on: (a) the contextualized quality of the explanation, (b) the contribution of the explanation to human-AI interaction, and (c) the contribution of the explanation to human- AI performance. Our analysis also revealed a lack of standardization in the methodologies applied in XAI user studies, with only 19 of the 73 papers applying an evaluation framework used by at least one other study in the sample. These inconsistencies hinder cross-study comparisons and broader insights. Our findings contribute to understanding what makes explanations meaningful to users and how to measure this, guiding the XAI community toward a more unified approach in human-centered explainability.
MULTIFILE
In December of 2004 the Directorate General for Research and Technological Development (DG RTD) of the European Commission (EC) set up a High-Level Expert Group to propose a series of measures to stimulate the reporting of Intellectual Capital in research intensive Small and Medium-Sized Enterprises (SMEs). The Expert Group has focused on enterprises that either perform Research and Development (R&D), or use the results of R&D to innovate and has also considered the implications for the specialist R&D units of larger enterprises, dedicated Research & Technology Organizations and Universities. In this report the Expert Group presents its findings, leading to six recommendations to stimulate the reporting of Intellectual Capital in SMEs by raising awareness, improving reporting competencies, promoting the use of IC Reporting and facilitating standardization.
DOCUMENT
Chronic diseases represent a significant burden for the society and health systems; addressing this burden is a key goal of the European Union policy. Health and other professionals are expected to deliver behaviour change support to persons with chronic disease. A skill gap in behaviour change support has been identified, and there is room for improvement. Train4Health is a strategic partnership involving seven European Institutions in five countries, which seeks to improve behaviour change support competencies for the self-management of chronic disease. The project envisages a continuum in behaviour change support education, in which an interprofessional competency framework, relevant for those currently practising, guides the development of a learning outcomes-based curriculum and an educational package for future professionals (today’s undergraduate students).
DOCUMENT
