Future practice of comprehensive care: Practice intentions of exiting family medicine residents in Canada.

OBJECTIVE: To describe exiting family medicine (FM) residents' reported practice intentions after completing a Triple C Competency-based Curriculum. DESIGN: The surveys were intended to capture residents' perceptions of FM, their perceptions of their competency-based training, and their intentions to practise FM. Entry (T1) and exit (T2) self-reported survey results were compared considering the influence of the curriculum change. Unmatched aggregate-level data were reviewed. The T1 survey was administered in the summer of 2012 and the T2 survey was administered in the spring of 2014. SETTING: Six Canadian FM residency programs across 4 provinces in Canada (Alberta, Saskatchewan, Ontario, and Quebec). PARTICIPANTS: Overall, 341 entering FM residents in 2012 responded to the T1 survey and 325 exiting FM residents completing their residency programs in spring 2014 responded to the T2 survey. MAIN OUTCOME MEASURES: Self-reported data on FM residents' future practice intentions related to comprehensive care, providing care across clinical domains and settings, and providing comprehensive care individually or in teams. RESULTS: A total of 341 (71.3%) residents responded to the T1 survey and a total of 325 (71.4%) residents responded to the T2 survey. Of these, 78.7% responded that they intended to provide comprehensive FM in multiple clinical settings in their future practices, with 70.8% indicating a comprehensive care practice with a special interest and 36.6% intending to provide care in a focused practice. Overall, 92.9% reported that they intended to work in group practice environments. Ninety percent reported they intended to work in interprofessional team practices. CONCLUSION: While an upward trend toward the practice of comprehensive care was demonstrated, findings also showed an increased trend toward providing care in focused practices. Further research is needed to better determine how FM residents understand the definition of comprehensive FM and its practice models. The survey provides an opportunity to explore questions related to practice intentions that could be helpful in work force planning. As the first study to compare entry and exit data from learners who have been exposed to a Triple C competency-based approach, this survey provides important baseline data for use by many.

Giving curriculum planners an edge: using entrance surveys to design family medicine education.

OBJECTIVE: To pilot a survey of family medicine residents entering residency, describing their exposure to family medicine and their perspectives related to their future intentions to practise family medicine, in order to inform curriculum planners; and to test the methodology, feasibility, and utility of delivering a longitudinal survey to multiple residency programs. DESIGN: Pilot study using surveys. SETTING: Five Canadian residency programs. PARTICIPANTS: A total of 454 first-year family medicine residents were surveyed. MAIN OUTCOME MEASURES: Residents' previous exposure to family medicine, perspectives on family medicine, and future practice intentions. RESULTS: Overall, 70% of first-year residents surveyed responded (n = 317). Although only 5 residency programs participated, respondents included graduates from each of the medical schools in Canada, as well as international medical graduates. Among respondents, 92% felt positive or strongly positive about their choice to be family physicians. Most (73%) indicated they had strong or very strong exposure to family medicine in medical school, yet more than 40% had no or minimal exposure to key clinical domains of family medicine like palliative care, home care, and care of underserved groups. Similar responses were found about residents' lack of intention to practise in these domains. CONCLUSION: Exposure to clinical domains in family medicine could influence future practice intentions. Surveys at entrance to residency can help medical school and family medicine residency planners consider important learning experiences to include in training.

Assessment of driving performance using a simulator protocol: validity and reproducibility.

We examined the validity and reproducibility of simulator-based driving evaluations. In Study 1, we examined correlations among Trails A and B, demerit points for simulated drives, and simulator-recorded errors. With one exception, correlations ranged from .44 (p = .103) to .83 (p = .001). In Study 2, we examined correlations among Trail Making Test Part A, Useful Field of View, and demerit points for simulated drives; correlations ranged from .50 to .82 (all ps < .001). The correlation between demerit points for on-road and simulated drives was .74 (p = .035). We examined reproducibility of simulator assessments using the playback function; intraclass correlation coefficients ranged from .73 to .87 (all ps < .001). These results suggest that simulators could be used to facilitate the evaluation of fitness to drive.

Using the Attention Network Test to predict driving test scores.

Driving is a complex multi-factorial task that taps underlying mechanisms of cognition and attention. Not surprisingly, therefore, many tests of cognition and attention are significantly associated with driving outcomes. In this article, we introduce driving researchers and clinicians with an interest in driving to the Attention Network Test (ANT), which to our knowledge has not previously been used in driving research. It is a recently developed test that is based on a neural network model of the human attention system. It combines elements of Posner's cuing paradigm [Posner, M.I., 1980. Orienting of attention. Quarterly Journal of Experimental Psychology 32, 3-25.] with the Eriksen & Eriksen flanker task [Eriksen, B.A., Eriksen, C.W., 1974. Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics 16, 143-149.], and provides measures of three distinct functions of attention: alerting, orienting, and executive function. Our results demonstrate that the ANT has very good concurrent validity with the Useful Field of View (UFOV), and that it is comparable to UFOV in its ability to predict road test scores for a simulated drive. These findings suggest that further investigation of the usefulness of the ANT as a tool for driving researchers and clinicians is merited.