Articles: patients.
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Recent articles on clinical decision-making have proposed sophisticated quantitative methods for improving the physician's clinical judgment. Actual clinical decisions, however, are influenced by interactions between the clinician, the patient, and the sociocultural milieu as well as by biomedical considerations. ⋯ To illustrate sociologic influences on clinical decision-making, this paper presents observations from the literature of sociology, clinical psychology, psychiatry, and medicine. Further studies are needed to provide additional empirical information.
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Case mix complexity measurements are essential to determine health care efficiency and effectiveness. Measures of patient care processes and outcomes must be adjusted for case mix before valid comparisons can be made. Hospital reimbursement, particularly prospective reimbursement, must take into account differences in case mix. ⋯ There are, however, no widely accepted easily computed case mix measures. Information theory measures of case mix have been developed but their acceptance has been limited by a lack of verification of their basic assumption that concentration of disease is related to clinical complexity. We discuss the rationale underlying the mathematical computaton of information theory measures and demonstrate a statistically significant relationship between clinical measures of case mix complexity and information theory measures of case mix complexity.
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The American Society of Anesthesiologists' (ASA) Physical Status Classification was tested for consistency of use by a questionnaire sent to 304 anesthesiologists. They were requested to classify ten hypothetical patients. Two hundred fifty-five (77.3 percent) responded to two mailings. ⋯ Academic anesthesiologists rated a greater number identical than did those in private practice (P less than 0.01). There was no difference in ratings between those who used the classification for billing purposes and those who did not. The ASA Physical Status Classification is useful but suffers from a lack of scientific precision.