PubMed · 464478
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W B Bateman, H G Bloom, J I Boufford. 1979. Training the internist.. https://pubmed.ncbi.nlm.nih.gov/464478/
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Our objective was to determine the ability of the internal medicine In-Training Examination (ITE) to predict pass or fail outcomes on the American Board of Internal Medicine (ABIM) certifying examination and to develop an externally validated predictive model and a simple equation that can be used by residency directors to provide probability feedback for their residency programs. We collected a study sample of 155 internal medicine residents from the three Virginia internal medicine programs and a validation sample of 64 internal medicine residents from a residency program outside Virginia. Scores from both samples were collected across three class cohorts. The Kolmogorov-Smirnov z test indicated no statistically significant difference between the distribution of scores for the two samples (z = 1.284, p = .074). Results of the logistic model yielded a statistically significant prediction of ABIM pass or fail performance from ITE scores (Wald = 35.49, SE = 0.036, df = 1, p < .005) and overall correct classifications for the study sample and validation sample at 79% and 75%, respectively. The ITE is a useful tool in assessing the likelihood of a resident's passing or failing the ABIM certifying examination but is less predictive for residents who received ITE scores between 49 and 66.
OBJECTIVES: Quality of discharge reports is very important for an adequate health care activity. Clinical data of these reports must be comprehensible by patients and in the different levels of Health Services. Presence of abbreviations causes severe shortcomings in the clinical data of these records. METHODS: We analyzed the presence of abbreviations in the Internal Medicine discharge reports of 7 hospitals of Castilla-La Mancha in the year 1992. We evaluated 835 discharge reports. RESULTS: Abbreviations were found in personal background 72.4%, present disease 31%, physical examination 87.2%, clinical judgement 39.4%, complementary explorations 95.8%, evolution 61.4% and treatment-follow up after discharge 67.4%. CONCLUSION: These results indicate that abbreviations must be avoided in discharge reports in order to obtain a better communication between patient and doctor and between medical personnel.