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Rheumatology algorithms for primary care physicians.

Primary care physicians were trained on three rheumatology topics to assess the effectiveness of an educational strategy for continuing medical education. Algorithm training was shown to be at least as effective as that based on standard prose monographs. Both training groups improved their knowledge of patient management skills but there were no statistically significant differences between groups in the amount learned. When algorithms were used to design text materials, the designed texts required less study time than did the annotated clinical algorithms alone. That difference was significant for the shoulder pain materials (P less than 0.05) but not for the osteoporosis materials. The ratio of knowledge gained to study time was significantly higher for the algorithm group on the low back pain topic (P less than 0.05) but not for the other topics. Taped interview problems tests were studied as a method for assessing patient management skills related to problem-specific indicator conditions and were found to produce interrater reliability greater than 0.80 on five of the six tests.

Clinical Protocols↗

Clinical validation of two respiratory nursing diagnoses and their defining characteristics.

A model for clinical validation of the respiratory nursing diagnoses of ineffective airway clearance and ineffective breathing pattern is presented. The study showed that critical defining characteristics are associated with and differentiate each respiratory nursing diagnosis. The methodology used can be easily incorporated into regular clinical activities in many settings.

Evaluation Studies as Topic↗

Measuring disease-specific quality of life in clinical trials.

While measurement of quality of life is a vital part of assessing the effect of treatment in many clinical trials, a measure that is responsive to clinically important change is often unavailable. Investigators are therefore faced with the challenge of constructing an index for a specific condition or even for a single trial. There are several stages in the development and testing of a quality-of-life measure: selecting an initial item pool, choosing the "best" items from that pool, deciding on questionnaire format, pretesting the instrument, and demonstrating the responsiveness and validity of the instrument. At each stage the investigator must choose between a rigorous, time-consuming approach to questionnaire construction that will establish the clinical relevance, responsiveness and validity of the instrument and a more efficient, less costly strategy that leaves reproducibility, responsiveness and validity untested. This article describes these options and outlines a pragmatic approach that yields consistently satisfactory disease-specific measures of quality of life.

Clinical Trials as Topic↗