25 research outputs found

    What are the characteristics of excellent physicians and residents in the clinical workplace? A systematic review.

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    OBJECTIVES: In order to recognise and facilitate the development of excellent medical doctors (physicians and residents), it is important to first identify the characteristics of excellence. Failure to recognising excellence causes loss of talent, loss of role models and it lowers work ethos. This causes less than excellent patient care and lack of commitment to improve the healthcare system. DESIGN: Systematic review performed according to the Association for Medical Education in Europe guideline. INFORMATION SOURCES: We searched Medline, Embase, Psycinfo, ERIC and CINAHL until 14 March 2022. ELIGIBILITY CRITERIA: We included original studies describing characteristics of excellent medical doctors, using a broad approach as to what is considered excellence. Assuming that excellence will be viewed differently depending on the interplay, and that different perspectives (peers, supervisors and patients) will add to a complete picture of the excellent medical doctor, we did not limit this review to a specific perspective. DATA EXTRACTION AND SYNTHESIS: Data extraction and quality assessment were performed independently by two researchers. We used the Quality Assessment Tool for Different Designs for quality assessment. RESULTS: Eleven articles were eligible and described the characteristics from different perspectives: (1) physicians on physicians, (2) physicians on residents, (3) patients on physicians and (4) mixed group (diverse sample of participants on physicians). The included studies showed a wide range of characteristics, which could be grouped into competencies (communication, professionalism and knowledge), motivation (directed to learning and to patient care) and personality (flexibility, empathy). CONCLUSIONS: In order to define excellence of medical doctors three clusters seem important: competence, motivation and personality. This is in line with Renzulli’s model of gifted behaviour. Our work adds to this model by specifying the content of these clusters, and as such provides a basis for definition and recognition of medical excellence

    Somatically ill persons’ self-nominated quality of life domains: review of the literature and guidelines for future studies

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    OBJECTIVE: To review which domains somatically ill persons nominate as constituting their QoL. Specific objective is to examine whether the method of enquiry affect these domains. METHODS: We conducted two literature searches in the databases PubMed/Medline, CINAHL and Psychinfo for qualitative studies examining patients' self-defined QoL domains using (1) SEIQoL and (2) study-specific questions. For each database, two researchers independently assessed the eligibility of the retrieved abstracts and three researchers subsequently classified all QoL domains. RESULTS: Thirty-six eligible papers were identified: 27 studies using the SEIQoL, and nine presenting data derived from study-specific questions. The influence of the method of enquiry on patients' self-nominated QoL domains appears limited: most domains were presented in both types of studies, albeit with different frequencies. CONCLUSIONS: This review provides a comprehensive overview of somatically ill persons' self-nominated QoL domains. However, limitations inherent to reviewing qualitative studies (e.g., the varying level of abstraction of patients' self-defined QoL domains), limitations of the included studies and limitations inherent to the review process, hinder cross-study comparisons. Therefore, we provide guidelines to address shortcomings of qualitative reports amenable to improvement and to stimulate further improvement of conducting and reporting qualitative research aimed at exploring respondents' self-nominated QoL domains

    Exploring differences in patient mix in a cohort of GP trainees and their trainers

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    Background During specialty training for general practice, trainees acquire the required competencies through work-based learning. Previous small-scale and older studies suggest that the patient mix of general practitioner (GP) trainees differs from that of their trainers: trainees are exposed to more minor illnesses, and fewer chronic diseases and severe conditions, which may influence the development of their competency. Research question What are the differences in the patient mix between trainees and trainers? Methods 49 first- and 24 third-year trainees and their trainers (n=114) were included in the study. International Classification of Primary Care (ICPC) contact and diagnosis codes were extracted from electronic patient records over 6 months. Results Trainers had double the number of face-to-face consultations, and treble the number of telephone consultations compared with trainees. The trainees' patient mix consisted of significantly more patients with eye diseases, ear diseases, respiratory diseases, skin diseases and minor illnesses compared with their trainers. Trainers encountered significantly more patients with circulatory diseases, psychiatric diseases, metabolic diseases, male genital conditions, social problems, and chronic and oncological diseases. Female trainers and trainees encountered almost twice the number of female conditions compared with their male counterparts, while for male conditions, the opposite was found. Discussion Considerable differences between the patient mix of trainers and trainees were found. Specialty trainers and teachers must be aware of areas of low exposure. Trainers should ensure trainees handle more chronic, complex, psychosocial and circulatory condition

    Assessment of motivational interviewing: a qualitative study of response process validity, content validity and feasibility of the motivational interviewing target scheme (MITS) in general practice

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    Abstract Background The Motivational Interviewing target Scheme (MITS) is an instrument to assess competency in Motivational Interviewing (MI) and can be used to assess MI in long and brief consultations. In this qualitative study we examined two sources of the Unified Model of Validity, the current standard of assessment validation, in the context of General Practice. We collected evidence concerning response process validity and content validity of the MITS in general practice. Furthermore, we investigated its feasibility. Methods Assessing consultations of General Practitioners and GP-trainees (GPs), the assessors systematically noted down their considerations concerning the scoring process and the content of the MITS in a semi-structured questionnaire. Sampling of the GPs was based on maximum variation and data saturation was used as a stopping criterion. An inductive approach was used to analyse the data. In response to scoring problems the score options were adjusted and all consultations were assessed using the original and the adjusted score options. Results Twenty seven assessments were needed to reach data saturation. In most consultations, the health behaviour was not the reason for encounter but was discussed on top of discussing physical problems. The topic that was most discussed in the consultations was smoking cigarettes. The adjusted score options increased the response process validity; they were more in agreement with theoretical constructs and the observed quality of MI in the consultations. Concerning content validity, we found that the MITS represents the broad spectrum and the current understanding of MI. Furthermore, the MITS proved to be feasible to assess MI in brief consultations in general practice. Conclusions Based on the collected evidence the MITS seems a promising instrument to measure MI interviewing in brief consultations. The evidence gathered in this study lays the foundation for research into other aspects of validation

    Formal definitions of measurement bias and explanation bias clarify measurement and conceptual perspectives on response shift

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    Objective: Response shift is generally associated with a change in the meaning of test scores, impeding the comparison of repeated measurements. Still, different researchers have different views of response shift. From a measurement perspective, response shift can be considered as bias in the measurement of change, whereas from a more conceptual perspective, it can be considered as bias in the explanation of change. We propose definitions to accommodate both interpretations of response shift. Study Design and Setting: Formal definitions of measurement bias and explanation bias serve to define response shift in measurement and conceptual perspectives. Examples from the field of health-related quality of life research illustrate the definitions. Results: Definitions of response shifts as special cases of either measurement bias or explanation bias clarify different interpretations of response shift and lead to different research methods. Different structural equation models are suggested to investigate biases and response shifts in each of the two perspectives. Conclusion: It is important to distinguish between measurement and conceptual perspectives as they involve different ideas about response shift. Definitions from both perspectives help to resolve conceptual and methodological confusion around response shift and to further its research. (C) 2009 Elsevier Inc. All rights reserve

    Who determines the patient mix of GP trainees? The role of the receptionist

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    During their specialty training, Dutch GP trainees work at a GP under the supervision of a GP trainer. Research suggests that the patient mix of GP trainees differs from that of their trainers. Receptionists assign patients to either the trainee or the trainer, thereby influencing the patient mix of the trainees. The decision to which doctor to assign is complex and depends on the latitude the receptionists have. Their considerations when assigning patients are unknown. To study receptionists' assigning behaviour. This was a questionnaire survey. To design the questionnaire, topics about assigning behaviour were identified in a focus group. The resulting questionnaire was sent to 478 GP training practices in the Netherlands. Response rate was 68%. Of the receptionists, 95% asked for the reason for the consultation at least 'sometimes'. Most (86.3%) of the receptionists considered the patient mix of trainees and trainers to be similar. Almost all receptionists (97%) reported 'often' or 'always' assigning 'every possible problem' to the trainee and a similar picture arose regarding specific subpopulations. However, the receptionists reported that they assigned complex and new patients to the trainers more often than to trainees. With some exceptions, receptionists try to assign trainees a varied patient mi

    Opening the black box: the patient mix of GP trainees

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    The variety of health problems (patient mix) that medical trainees encounter is presumed to be sufficient to master the required competencies. To describe the patient mix of GP trainees, to study differences in patient mix between first-year and third-year GP trainees, and to investigate differences in exposure to sex-specific diseases between male and female trainees. Prospective cohort study in Dutch primary care. During a 6-month period, aggregated data about International Classification of Primary Care diagnosis codes, and data on the sex and age of all contacts were collected from the electronic patient record (EPR) system. Seventy-three trainees participated in this study. The mean coding percentage was 86% and the mean number of face-to-face consultations per trimester was 450.0 in the first year and 485.4 in the third year, indicating greater variance in the number of patient contacts among third-year trainees. Diseases seen most frequently were: musculoskeletal (mean per trimester = 89.2 in the first year/91.0 in the third year), respiratory (98.2/92.7) and skin diseases (89.5/96.0). Least often seen were diseases of the blood and blood-forming organs (5.3/7.2), male genital disorders (6.1/7.1), and social problems (4.3/4.2). The mean number of chronic diseases seen per trimester was 48.0 for first-year trainees and 62.4 for third-year trainees. Female trainees saw an average of 39.8 female conditions per trimester--twice as many as male trainees (mean = 21.3). Considerable variation exists trainees in the number of patient contacts. Differences in patient mix between first- and third-year trainees seem at least partly related to year-specific learning objectives. The use of an EPR-derived educational instrument provides insight into the trainees' patient mix at both the group and the individual level. This offers opportunities for GP trainers, trainees, and curriculum designers to optimise learning when exposure may be lo
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