Twelve tips for designing, implementing and sustaining interprofessional training units on hospital wards.

Dedicated Interprofessional Training Units (ITUs) in hospital wards are one way to prepare healthcare students for Interprofessional patient-centered care. Based on theoretical foundations, research, and our lived experiences of successes as well as failures, we propose 12 tips on how to prepare, implement, and sustain a dedicated ITU, combining the Grol & Wensing model for planning change with the Self-determination Theory of motivation. Start with a steering group, with a dedicated project leader, to translate awareness of the need for an ITU into wider awareness and motivation among stakeholders, with the ITU being a solution to authentic problems. Create shared ownership by jointly formulating feasible educational goals and starting with a pilot to provide opportunities for change. Motivate all stakeholders by stimulating their autonomy, interprofessional competence as well as relatedness to each other, in line with the Self-determination Theory. Confirm the value of the ITU at all stages and embed the ITU in the organizational strategy.

Descriptors for unprofessional behaviours of medical students: a systematic review and categorisation.

BACKGROUND: Developing professionalism is a core task in medical education. Unfortunately, it has remained difficult for educators to identify medical students' unprofessionalism, because, among other reasons, there are no commonly adopted descriptors that can be used to document students' unprofessional behaviour. This study aimed to generate an overview of descriptors for unprofessional behaviour based on research evidence of real-life unprofessional behaviours of medical students. METHODS: A systematic review was conducted searching PubMed, Ebsco/ERIC, Ebsco/PsycINFO and Embase.com from inception to 2016. Articles were reviewed for admitted or witnessed unprofessional behaviours of undergraduate medical students. RESULTS: The search yielded 11,963 different studies, 46 met all inclusion criteria. We found 205 different descriptions of unprofessional behaviours, which were coded into 30 different descriptors, and subsequently classified in four behavioural themes: failure to engage, dishonest behaviour, disrespectful behaviour, and poor self-awareness. CONCLUSIONS: This overview provides a common language to describe medical students' unprofessional behaviour. The framework of descriptors is proposed as a tool for educators to denominate students' unprofessional behaviours. The found behaviours can have various causes, which should be explored in a discussion with the student about personal, interpersonal and/or institutional circumstances in which the behaviour occurred. Explicitly denominating unprofessional behaviour serves two goals: [i] creating a culture in which unprofessional behaviour is acknowledged, [ii] targeting students who need extra guidance. Both are important to avoid unprofessional behaviour among future doctors.

Adaptation and validation of the encoding of observations using CONSUL-MCC: A self-determination theory-based tool to observe consultations in maternity care.

Objective: During autonomy-supportive consultations, professionals use a need-supportive interaction style to facilitate patients' self-regulated behaviour. To improve maternity care professionals' need-supportive interactions, it is important to provide insights into their interaction style. No tool is currently available for measuring need-supportive interactions in maternity care. Therefore, the aim of this study was to adapt the COUNSEL-CCE to evaluate need-supportive interactions in maternity care and to validate their measurements. Methods: A five-step adaptation and validation process was performed based on the guideline of Sousa and Rojjanasrirat: 1) adaptation of COUNSEL-CCE by two authors independently; 2) development of a consensus-based tool: CONSUL-MCC; 3) qualitative assessment of CONSUL-MCC; 4) pilot testing of CONSUL-MCC in the target population (N = 10) and 5) psychometric testing in the target population (N = 453). Results: All indicators of the original tool remained relevant. Four items were rephrased, one indicator was added, and all examples were adapted to maternity care. The results of psychometric testing indicated good construct validity. However, the data characteristics made it impossible to prove the presumed factor structure and perform an accurate intraclass correlation. Conclusions and innovation: COUNSEL-CCE proved to be a new instrument to gain insights into professionals' interactions and be applied to maternity care.

Autonomy-supportive decision-making in maternity care during prenatal consultations: a qualitative interaction analysis.

OBJECTIVES: The aim of this study was to identify mechanisms of autonomy-supportive consultation (ASC) that maternity care professionals use during decision-making in prenatal consultations. DESIGN: This study was a descriptive, qualitative analysis of professional-patient interactions in maternity care, using concepts and analytic procedures of conversation analysis. SETTING: The prenatal consultations took place in hospitals and midwifery practices in the Netherlands. This study was part of a larger project. For the current study, we selected prenatal consultations concerning three topics in which patients make their own choices. PARTICIPANTS: The first author invited the patient who was waiting in the waiting room. Participants were not selected a priori. MAIN OUTCOME MEASURES: The main outcome measures were mechanisms of ASC. RESULTS: We selected 20 consultations which were conducted by 20 different professionals. We found eight mechanisms in the professional-patient interaction which were categorised into three overarching themes. The first theme, 'Lightheartedness', comprises the interactional mechanisms 'minimising language' and 'humour'. The theme 'Orientation to agreement' describes how professionals and patients seem to be oriented towards demonstrating agreement and mutual understanding. The last theme, 'Offering information and options', describes the professional formally giving factual information almost completely without verbal interaction between the professional and the patient. CONCLUSION: The results of this study show that the model of ASC can be enriched by adding minimising language and humour to the mechanisms that can be used to fulfil the psychological need 'relatedness'. Second, our results show that professionals use only few mechanisms to meet the patients' psychological needs 'competence' and 'autonomy'. They mainly use information giving to meet patients' need competence. To meet patients' need for autonomy, the professionals keep all options open. This suggests that professionals could pay more attention to other mechanisms to meet patients' needs for 'competence' and 'autonomy'.

'One size does not fit all': The value of person-centred analysis in health professions education research.

Health professions education (HPE) research is dominated by variable-centred analysis, which enables the exploration of relationships between different independent and dependent variables in a study. Although the results of such analysis are interesting, an effort to conduct a more person-centred analysis in HPE research can help us in generating a more nuanced interpretation of the data on the variables involved in teaching and learning. The added value of using person-centred analysis, next to variable-centred analysis, lies in what it can bring to the applications of the research findings in educational practice. Research findings of person-centred analysis can facilitate the development of more personalized learning or remediation pathways and customization of teaching and supervision efforts. Making the research findings more recognizable in practice can make it easier for teachers and supervisors to understand and deal with students. The aim of this article is to compare and contrast different methods that can be used for person-centred analysis and show the incremental value of such analysis in HPE research. We describe three methods for conducting person-centred analysis: cluster, latent class and Q­sort analyses, along with their advantages and disadvantage with three concrete examples for each method from HPE research studies.

Factors influencing autonomy supportive consultation: A realist review.

OBJECTIVE: Gaining insight into contextual factors and mechanisms supporting or hindering autonomy supportive consultation and into outcomes of such consultations. METHODS: We conducted a systematic review using the realist synthesis procedure according to RAMESES guideline. A search was performed in PubMed, Embase, PsycINFO and Cinahl from inception to March 2019 using the search terms: 'autonomy' AND 'support' AND 'consultation' OR 'communication' AND 'intervention'. The review process including paper selection, quality assessment, full text reading for data-extraction was conducted by two researchers independently. RESULTS: Of 2792 articles, 18 met our inclusion criteria. Contextual factors influencing an autonomy supportive consultation were: work organization and the attitude of professionals. An overarching supporting mechanism for AS was relationship building. In addition, each phase of the decision-making process seems to need supporting mechanisms fulfilling patients 'specific psychological needs in that phase. The outcome of AS is higher levels of patient well-being. CONCLUSION: Autonomy supportive consultation works under various contexts coupled with mechanisms that give rise to favourable-outcomes, of which relationship building, taking time and exploring patients' needs seem the most important. PRACTICE IMPLICATIONS: The results of our review facilitate professionals to reflect on their autonomy supportive consultation skills, which could improve their autonomy supportive behaviour.

Distinguishing Three Unprofessional Behavior Profiles of Medical Students Using Latent Class Analysis.

PURPOSE: Because unprofessional behavior of physicians is associated with unprofessional behavior in medical school, identifying unprofessional behavior in medical school is critical. Research has noted the difficulty in assessing professional behavior. Instead of identifying isolated behaviors, it could be more helpful to recognize behavioral patterns to evaluate students' professional behavior. The authors aimed to identify patterns in the unprofessional behaviors of medical students and to construct descriptions based on these patterns. METHOD: Content analysis of research articles yielded a template of unprofessional behaviors for coding student evaluation forms indicating unsatisfactory professional behavior, collected from 2012 to 2014 at the VUmc School of Medical Sciences, Amsterdam, the Netherlands. Latent class analysis was used to identify classes of students with a high chance of displaying comparable unprofessional behaviors. Teachers' feedback of prototype students was summarized to generate profile descriptions. RESULTS: A template of 109 behaviors was used to code 232 evaluation forms of 194 students (3.9% students/year). Latent class analysis identified three hypothetical classes of students: Class 1 (43%) was labeled as "Poor reliability," class 2 (20%) was labeled as "Poor reliability and poor insight," and class 3 (37%) was labeled as "Poor reliability, poor insight, and poor adaptability." CONCLUSIONS: These profiles of unprofessional behavior might help to improve the evaluation of unprofessional behavior in medical school. Further research should provide evidence for confidently accepting or rejecting the profiles as an instrument to identify which students are expected to benefit from remediation trajectories.