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Objective To explore how patients and physicians describe attitudes and behaviours that facilitate shared decision making.Background Studies have described physician behaviours in shared decision making, explored decision aids for informing patients and queried whether patients and physicians want to share decisions. Little attention has been paid to patientsÕ behaviors that facilitate shared decision making or to the influence of patients and physicians on each other during this process.

Background: In medical education, evaluation of clinical performance is based almost universally on rating scales for defined aspects of performance and scores on examinations and checklists. Unfortunately, scores and grades do not capture progress and competence among learners in the complex tasks and roles required to practice medicine. While the literature suggests serious problems with the validity and reliability of ratings of clinical performance based on numerical scores, the critical issue is not that judgments about what is observed vary from rater to rater but that these judgments are lost when translated into numbers on a scale. As the Next Accreditation System of the Accreditation Council on Graduate Medical Education (ACGME) takes effect, medical educators have an opportunity to create new processes of evaluation to document and facilitate progress of medical learners in the required areas of competence.Proposal and initial experience: Narrative descriptions of learner performance in the clinical environment, gathered using a framework for observation that builds a shared understanding of competence among the faculty, promise to provide meaningful qualitative data closely linked to the work of physicians. With descriptions grouped in categories and matched to milestones, core faculty can place each learner along the milestones' continua of progress. This provides the foundation for meaningful feedback to facilitate the progress of each learner as well as documentation of progress toward competence.Implications: This narrative evaluation system addresses educational needs as well as the goals of the Next Accreditation System for explicitly documented progress. Educators at other levels of education and in other professions experience similar needs for authentic assessment and, with meaningful frameworks that describe roles and tasks, may also find useful a system built on descriptions of learner performance in actual work settings.Conclusions: We must place medical learning and assessment in the contexts and domains in which learners do clinical work. The approach proposed here for gathering qualitative performance data in different contexts and domains is one step along the road to moving learners toward competence and mastery.

Tools to examine the effects of teaching interventions across a variety of studies are needed. The authors perform a meta-analysis of 24 randomized controlled trials evaluating the effects of teaching on medical students' patient communication skills. Study quality is rated using a modified Jadad score, and standardized mean difference effect size (d) measures are calculated. Fifteen of 24 studies have sufficient data for analysis. Students' ability to establish rapport improves after teaching. The effects are large when the teaching intervention was small group discussion (n = 5) or giving structured feedback on a student-patient interview (n = 6). A similar effect of teaching is seen on student data gathering skills (n = 5). Teaching medical students patient communication skills using small group discussion or providing feedback on a student-patient interview results in improvement in student performance.

Program support facilitates each step of the SRL process that leads to meaningful use of learning goals in residency. A strong foundation of program support should include attention to aspects of the implicit curriculum as well as the explicit curriculum.

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As educators seek methods for learners to attain greater competence in communication and interpersonal skills, the SCOOP provides an explicit framework to optimize modeling for the learning of professionalism.

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