Evaluation of a course on patient records.

OBJECTIVES: To determine whether self-directed learning about (electronic) patient records during a PBL (problem-based learning) block, dealing with the content of disciplines concerned with the diagnosis and therapy of diseases of the abdomen, increased the knowledge of the students with respect to the patient records. METHODS: At the beginning and at the end of the ten-week block the same questionnaire was offered to the students (180). Cohen's d for effect size was used to determine the increase in knowledge. RESULTS: For those students that answered the questionnaire twice (53), a Cohen's d of 0.94 was obtained. CONCLUSIONS: The knowledge of the students concerning the advantages and limitations of (electronic) patient records increased significantly. The corresponding effect size was large.

Diagnostic reference frames for seizures: A validation study.

INTRODUCTION: We developed structured descriptions of signs and symptoms for specific seizure types (called Diagnostic Reference Frames-DRFs-by us) that can serve as a frame of reference in the process of classifying patients with epileptic seizures. In this study the validity of the DRFs for clinical use is evaluated and described. MATERIAL AND METHODS: In this study we use a decision support system based on the DRFs and using Bayes's rule for the validation of the DRFs. Patient's manifestations are entered in the decision support system and by successively applying Bayes's rule posterior probabilities are calculated. The DRFs with the highest posterior probability gives an indication of the classification of the seizure. The validation of the DRFs was performed by comparing the seizure type with the highest posterior probability with the classification of experienced epileptologists on a series of test cases with known epileptic seizures. In this way we assessed the accuracy of the DRFs in classifying patients with epileptic seizures. RESULTS: We included sixty-six patients in this efficacy study. The patients and/or their relatives described the manifestations occurring during a seizure. Sixty cases (91%) were correctly classified using the decision support system. DISCUSSION: The accuracy of 91 % indicates that the knowledge encoded in the DRFs for the included seizure types is valid. The next step is to test the DRFs in a clinical setting to evaluate the applicability in daily practice.