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Jerry E Kruse

Publications and source records attributed to Jerry E Kruse.

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Evaluation of syncope.

Though relatively common, syncope is a complex presenting symptom defined by a transient loss of consciousness, usually accompanied by falling, and with spontaneous recovery. Syncope must be carefully differentiated from other conditions that may cause a loss of consciousness or falling. Syncope can be classified into four categories: reflex mediated, cardiac, orthostatic, and cerebrovascular. A cardiac cause of syncope is associated with significantly higher rates of morbidity and mortality than other causes. The evaluation of syncope begins with a careful history, physical examination, and electrocardiography. Additional testing should be based on the initial clinical evaluation. Older patients and those with underlying organic heart disease or abnormal electrocardiograms generally will need additional cardiac evaluation, which may include prolonged electrocardiographic monitoring, echocardiography, and exercise stress testing. When structural heart disease is excluded, tests for neurogenic reflex-mediated syncope, such as head-up tilt-table testing and carotid sinus massage, should be performed. The use of tests such as head computed tomography, magnetic resonance imaging, carotid and transcranial ultrasonography, and electroencephalography to detect cerebrovascular causes of syncope should be reserved for those few patients with syncope whose history suggests a neurologic event or who have focal neurologic signs or symptoms.

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Research support infrastructure and productivity in U.S. family practice residency programs.

PURPOSE: To examine the associations between 11 research support infrastructural characteristics and measures of research productivity. METHOD: A questionnaire was mailed to 462 directors of non-military family practice residency programs in the United States. A total of 11 research support infrastructural characteristics and six research productivity measures were coded. Initial analyses indicated a skewness in responses given by larger versus smaller programs. Respondents were divided into those from programs with eight or fewer full-time faculty and those from programs with nine or more. Separate analyses were run for each. Logistic regression was employed to determine which research support characteristics would best predict productivity in the top quartile. RESULTS: Of the 461 recipients of deliverable questionnaires, 351 (76.1%) responded. A large proportion of programs reported no research productivity for the preceding 12 months. Separate stepwise logistic regression analyses were run for small and large programs; the ability of the 11 characteristics to predict research-productive programs varied with size. Employment of full-time research professionals was the only characteristic positively associated with research productivity for both groups. For small programs, research productivity was positively associated with the requirement of faculty members to do research. For large programs, it was positively associated with both the presence of fellowship programs and the presence of a specific, written research strategic plan. CONCLUSION: This study demonstrated a positive association between several elements of research infrastructure and research productivity but that such infrastructure is inconsistent across programs and seemingly insufficient to develop the necessary research culture and socialization.

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