In de geestelijke gezondheidszorg wordt in toenemende mate wetenschappelijk onderzoek gedaan, vooral in het kader van opleidingen. Er is onbekendheid met de regelgeving en ethiek bij beginnend onderzoekers. Zorgvuldige overwegingen - conform de richtlijnen voor good clinical practice (gcp) en medisch-ethische toetsing, worden daardoor lang niet altijd gemaakt. DOEL Beschrijven van praktische handvatten en stimuleren van het medisch-ethische denken bij patiëntgebonden onderzoek in de geestelijke gezondheidszorg. METHODE In dit artikel wordt een op de praktijkbehoefte gebaseerd overzicht van praktische handvatten en ethische overwegingen gegeven. RESULTATEN Dit artikel benadrukt dat onderzoekers reeds vóór de start van het onderzoek belangrijke afwegingen dienen te maken. Instructies daarvoor en richtlijnen voor medisch-ethische toetsing zijn te vinden in: het richtsnoer voor good clinical practice, het stroomschema van de Centrale Commissie Mensgebonden Onderzoek (ccmo) met de bijbehorende e-learningmodule en in de basiscursus ‘Regelgeving en organisatie voor klinisch onderzoekers’(brok). Praktische tips, geïllustreerd met voorbeelden, schetsen een kader om het medisch-ethisch denken te stimuleren. Tot slot is het van belang om de organisatorische inbedding van onderzoek in het kader van opleidingen te verbeteren. CONCLUSIE Basisinformatie over gcp en medisch-ethische toetsing bij patiëntgebonden onderzoek is via diverse kanalen beschikbaar. De uitdaging zit vooral in de inbedding van gcp in patiëntgebonden onderzoek door beginnend onderzoekers in de ggz.
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We read the invited review on sustainable medicines use in clinicalpractice by Adeyeye et al.1and would like to congratulate the authorswith the captivating way in which they used scientific facts combinedwith very practical solutions to convey their call to action. This call isprimarily addressed to the NHS, which the authors suspect will reso-nate with other health systems. While we fully agree with necessityof this top-down approach, we additionally believe that there is muchto be gained by making future prescribers more knowledgeable andaware about the impact they have on planetary health. The articleremains very brief about next generation of healthcare professionalsby quoting the General Medical Council's statement that“newly quali-fied doctors must be able to apply the principles, methods and knowl-edge of population health and the improvement of health andsustainable healthcare to medical practice.”2However, the underlyingquestion—how we effectively train future healthcare professionals inthese attitudes underpinned by knowledge—is not addressed...........
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Background: The aim of this study is to validate a newly developed nurses' self-efficacy sources inventory. We test the validity of a five-dimensional model of sources of self-efficacy, which we contrast with the traditional four-dimensional model based on Bandura's theoretical concepts. Methods: Confirmatory factor analysis was used in the development of the newly developed self-efficacy measure. Model fit was evaluated based upon commonly recommended goodness-of-fit indices, including the χ2 of the model fit, the Root Mean Square Error of approximation (RMSEA), the Tucker-Lewis Index (TLI), the Standardized Root Mean Square Residual (SRMR), and the Bayesian Information Criterion (BIC). Results: All 22 items of the newly developed five-factor sources of self-efficacy have high factor loadings (range .40-.80). Structural equation modeling showed that a five-factor model is favoured over the four-factor model. Conclusions and implications: Results of this study show that differentiation of the vicarious experience source into a peer- and expert based source reflects better how nursing students develop self-efficacy beliefs. This has implications for clinical learning environments: a better and differentiated use of self-efficacy sources can stimulate the professional development of nursing students.
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Background: Differences in professional practice might hinder initiation of student participation during international placements, and thereby limit workplace learning. This study explores how healthcare students overcome differences in professional practice during initiation of international placements. Methods: Twelve first-year physiotherapy students recorded individual audio diaries during the first month of international clinical placement. Recordings were transcribed, anonymized, and analyzed following a template analysis approach. Team discussions focused on thematic interpretation of results. Results: Students described tackling differences in professional practice via ongoing negotiations of practice between them, local professionals, and peers. Three themes were identified as the focus of students’ orientation and adjustment efforts: professional practice, educational context, and individual approaches to learning. Healthcare students’ initiation during international placements involved a cyclical process of orientation and adjustment, supported by active participation, professional dialogue, and self-regulated learning strategies.Conclusions: Initiation of student participation during international placements can be supported by establishing a continuous dialogue between student and healthcare professionals. This dialogue helps align mutual expectations regarding scope of practice, and increase understanding of professional and educational practices. Better understanding, in turn, creates trust and favors meaningful students’ contribution to practice and patient care.
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Aims and objectives: To describe the process of implementing evidence-based practice (EBP) in a clinical nursing setting. Background: EBP has become a major issue in nursing, it is insufficiently integrated in daily practice and its implementation is complex. Design: Participatory action research. Method: The main participants were nurses working in a lung unit of a rural hospital. A multi-method process of data collection was used during the observing, reflecting, planning and acting phases. Data were continuously gathered during a 24-month period from 2010 to 2012, and analysed using an interpretive constant comparative approach. Patients were consulted to incorporate their perspective. Results: A best-practice mode of working was prevalent on the ward. The main barriers to the implementation of EBP were that nurses had little knowledge of EBP and a rather negative attitude towards it, and that their English reading proficiency was poor. The main facilitators were that nurses wanted to deliver high-quality care and were enthusiastic and open to innovation. Implementation strategies included a tailored interactive outreach training and the development and implementation of an evidence-based discharge protocol. The academic model of EBP was adapted. Nurses worked according to the EBP discharge protocol but barely recorded their activities. Nurses favourably evaluated the participatory action research process. Conclusions: Action research provides an opportunity to empower nurses and to tailor EBP to the practice context. Applying and implementing EBP is difficult for front-line nurses with limited EBP competencies. Relevance to clinical practice: Adaptation of the academic model of EBP to a more pragmatic approach seems necessary to introduce EBP into clinical practice. The use of scientific evidence can be facilitated by using pre-appraised evidence. For clinical practice, it seems relevant to integrate scientific evidence with clinical expertise and patient values in nurses’ clinical decision making at the individual patient level.
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Background: Clinical reasoning skills are considered to be among the key competencies a physiotherapist should possess. Yet, we know little about how physiotherapy students actually learn these skills in the workplace. A better understanding will benefit physiotherapy education.Objectives: To explore how undergraduate physiotherapy students learn clinical reasoning skills during placements.Design: A qualitative research design using focus groups and semi-structured interviews.Setting: European School of Physiotherapy, Amsterdam, the Netherlands.Participants: Twenty-two undergraduate physiotherapy students and eight clinical teachers participated in this study.Main outcome measures: Thematic analysis of focus groups and semi-structured interviews.Results: Three overarching factors appeared to influence the process of learning clinical reasoning skills: the learning environment, the clinical teacher and the student. Preclinical training failed to adequately prepare students for clinical practice, which expected them to integrate physiotherapeutic knowledge and skills into a cyclic reasoning process. Students’ basic knowledge and assessment structure therefore required further development during the placements. Clinical teachers expected a holistic, multifactorial problem-solving approach from their students. Both students and teachers considered feedback and reflection essential to clinical learning. Barriers to learning experienced by students included time constraints, limited patient exposure and patient communication.Conclusions: Undergraduate physiotherapy students develop clinical reasoning skills through comparison of and reflection on different reasoning approaches observed in professional therapists. Over time, students learn to synthesise these different approaches into their own individual approach. Physiotherapy programme developers should aim to include a wide variety of multidisciplinary settings and patient categories in their clinical placements.
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Fully aware of the unusual timing of submitting a commentary 30 years later, we want to reflect on the June edition of the British Journal of Clinical Pharmacology (BJCP) (1993), which featured four research articles on education in clinical pharmacology and therapeutics (CPT) written by our former professor, Theo de Vries, and an editorial highlighting the imperative to improve CPT education, specifically by paying more attention to rational drug prescribing for common diseases.1–5 This plea was illustrated by five cartoons (Figure 1) and formed the basis for the World Health Organization's (WHO) Guide to Good Prescribing and its 6-step. The first four cartoons portrayed the suboptimal state of CPT education as a metaphorical ‘Clinical Pharmacology Continent’ (CPC) and a ‘General Practitioners Island’ (GPI), with a large gap between them. While clinical pharmacologists investigated new drug therapies, general practitioners frequently found themselves unprepared when making rational treatment decisions.1 The final cartoon introduced a solution: problembased learning education, depicted as a bridge connecting the continent and the island. Over the past 30 years, considerable progress has been achieved in bridging the gap. Therefore, we intend to illustrate this transformation with a similar cartoon (Figure 2).
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Rationale To improve the quality of exercise-based cardiac rehabilitation (CR) in patients with chronic heart failure (CHF) a practice guideline from the Dutch Royal Society for Physiotherapy (KNGF) has been developed. Guideline development A systematic literature search was performed to formulate conclusions on the efficacy of exercise-based intervention during all CR phases in patients with CHF. Evidence was graded (1–4) according the Dutch evidence-based guideline development criteria. Clinical and research recommendations Recommendations for exercise-based CR were formulated covering the following topics: mobilisation and treatment of pulmonary symptoms (if necessary) during the clinical phase, aerobic exercise, strength training (inspiratory muscle training and peripheral muscle training) and relaxation therapy during the outpatient CR phase, and adoption and monitoring training after outpatient CR. Applicability and implementation issues This guideline provides the physiotherapist with an evidence-based instrument to assist in clinical decision-making regarding patients with CHF. The implementation of the guideline in clinical practice needs further evaluation. Conclusion This guideline outlines best practice standards for physiotherapists concerning exercise-based CR in CHF patients. Research is needed on strategies to improve monitoring and follow-up of the maintenance of a physical active lifestyle after supervised CR.
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Lifelong learning is necessary for nurses and caregivers to provide good, person-centred care. To facilitate such learning and embed it into regular working processes, learning communities of practice are considered promising. However, there is little insight into how learning networks contribute to learning exactly and what factors of success can be found. The study is part of a ZonMw-funded research project ‘LeerSaam Noord’ in the Netherlands, which aims to strengthen the professionalization of the nursing workforce and promote person-centred care. We describe what learning in learning communities looks like in four different healthcare contexts during the start-up phase of the research project. A thematic analysis of eleven patient case-discussions in these learning communities took place. In addition, quantitative measurements on learning climate, reciprocity behavior, and perceptions of professional attitude and autonomy, were used to underpin findings. Reflective questioning and discussing professional dilemma's i.e. patient cases in which conflicting interests between the patient and the professional emerge, are of importance for successful learning.
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From diagnosis to patient scheduling, AI is increasingly being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, we investigate trust in clinical AI in a wider perspective beyond user interactions with the AI. We offer several points in the clinical AI development, usage, and monitoring process that can have a significant impact on trust. We argue that the calibration of trust in AI should go beyond explainable AI and focus on the entire process of clinical AI deployment. We illustrate our argument with case studies from practitioners implementing clinical AI in practice to show how trust can be affected by different stages in the deployment cycle.
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