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1.
BMC Med Educ ; 8: 7, 2008 Jan 28.
Article in English | MEDLINE | ID: mdl-18221570

ABSTRACT

BACKGROUND: Basic clinical skills training in the Japanese medical education system has traditionally incorporated on-the-job training with patients. Recently, the complementary use of simulation techniques as part of this training has gained popularity. It is not known, however, whether the participants view this new type of education program favorably; nor is the impact of this program known. In this study we developed a new simulation-based training program in phlebotomy for new medical residents and assessed their satisfaction with the program METHODS: The education program comprised two main components: simulator exercise sessions and the actual drawing of blood from other trainees. At the end of the session, we surveyed participant sentiment regarding the program. RESULTS: There were 43 participants in total. In general, they were highly satisfied with the education program, with all survey questions receiving scores of 3 or more on a scale of 1-5 (mean range: 4.3 - 4.8), with 5 indicating the highest level of satisfaction. Additionally, their participation as a 'patient' for their co-trainees was undertaken willingly and was deemed to be a valuable experience. CONCLUSION: We developed and tested an education program using a simulator for blood collection. We demonstrated a high satisfaction level among the participants for this unique educational program and expect that it will improve medical training, patient safety, and quality of care. The development and dissemination of similar educational programs involving simulation for other basic clinical skills will be undertaken in the future.


Subject(s)
Internship and Residency , Phlebotomy/methods , Role Playing , Teaching/methods , Video Recording , Consumer Behavior , Humans , Japan , Population Surveillance , Program Evaluation
2.
BMC Med Educ ; 6: 33, 2006 Jun 13.
Article in English | MEDLINE | ID: mdl-16768807

ABSTRACT

BACKGROUND: The extent of clinical exposure needed to ensure quality care has not been well determined during internal medicine training. We aimed to determine the association between clinical exposure (number of cases seen), self- reports of clinical competence, and type of institution (predictor variables) and quality of care (outcome variable) as measured by clinical vignettes. METHODS: Cross-sectional study using univariate and multivariate linear analyses in 11 teaching hospitals in Japan. Participants were physicians-in-training in internal medicine departments. Main outcome measure was standardized t-scores (quality of care) derived from responses to five clinical vignettes. RESULTS: Of the 375 eligible participants, 263 (70.1%) completed the vignettes. Most were in their first (57.8%) and second year (28.5%) of training; on average, the participants were 1.8 years (range = 1-8) after graduation. Two thirds of the participants (68.8%) worked in university-affiliated teaching hospitals. The median number of cases seen was 210 (range = 10-11400). Greater exposure to cases (p = 0.0005), higher self-reports of clinical competence (p = 0.0095), and type of institution (p < 0.0001) were significantly associated with higher quality of care, using a multivariate linear model and adjusting for the remaining factors. Quality of care rapidly increased for the first 100 to 200 cases seen and tapered thereafter. CONCLUSION: The amount of clinical exposure and levels of self-reports of clinical competence, not years after graduation, were positively associated with quality of care, adjusting for the remaining factors. The learning curve tapered after about 200 cases.


Subject(s)
Clinical Competence/statistics & numerical data , Internal Medicine/education , Internship and Residency/standards , Quality of Health Care/statistics & numerical data , Cross-Sectional Studies , Hospitals, Teaching/standards , Humans , Institutional Practice/standards , Internal Medicine/standards , Japan , Self-Evaluation Programs , Time Factors , Workforce , Workload/statistics & numerical data
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