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Mathieu R Nendaz

Publications and source records attributed to Mathieu R Nendaz.

2 recordsLinked to original sources

Cost-effectiveness analysis of diagnostic strategies for suspected pulmonary embolism including helical computed tomography.

We performed a formal decision analysis to evaluate the cost-effectiveness of various strategies for pulmonary embolism, including helical computed tomography (CT), and determined the most cost-effective schemes for each clinical probability of pulmonary embolism. Other tests included D-dimer (DD), lower limb venous ultrasound (US), ventilation-perfusion (V/Q) scan, and angiography. Outcome measures were 3-month survival and costs per patient managed. Baseline sensitivity of CT was 70%, corresponding to the performance of single-detector CT, and that figure was raised in sensitivity analysis to account for the expected higher sensitivity of newer multidetector CT scanners. All strategies were compared with a reference strategy, namely the V/Q scan in all patients followed when nondiagnostic by an angiogram. For low clinical probability patients, the most cost-effective strategy was DD, US, and V/Q scan, patients with a nondiagnostic V/Q scan being left untreated. Replacing V/Q scan by CT was also cost-effective. For intermediate and high clinical probability patients, a fourth test must be added, either CT or angiography in patients with nondiagnostic V/Q scan, or angiography in patients with a negative helical CT. When using sensitivity figures above 85% (in the multidetector range), DD, US, and CT became the most cost-effective strategy for all clinical probability categories. Helical CT as a single test was not cost-effective. In summary, including helical CT in diagnostic strategies for pulmonary embolism is cost-effective provided that it is combined with DD and US. In contrast, helical CT as a single test is not cost-effective.

Angiography↗

Promoting diagnostic problem representation.

PURPOSE: Problem representation, as mediated by semantic qualifiers (SQs), has been associated with better diagnostic outcomes. The purpose of this study was to assess the effect of training medical students to use semantic abstractions as a means of building problem representations. METHODS: Sixty second-year medical students were assigned to either an intervention group (n = 20) or a control group (n = 40) during 8 months of an Essentials in Clinical Medicine course which used standardized patient-based workshops. Students were trained to transform findings into SQs and to use abstractions to compare and contrast diagnostic hypotheses. Students were assessed using a standardized patient data collection checklist, a post-encounter patient finding questionnaire (PFQ), and case summaries and write-ups. RESULTS: Experimental subjects used over twice as many SQs in their summaries as control group members (1.40 versus 0.63, P = 0.006). The correlation between checklist and PFQ scores was higher for the experimental group than for the control group (r = 0.70 versus r = 0.58, P </= 0.001). There was no difference between groups in either the number of SQs used in write-ups nor in diagnostic accuracy (P > 0.56). CONCLUSION: A short instructional intervention was successful in promoting the use of SQs and enabled students to recall elicited findings better. This intervention did not enhance data interpretation and diagnostic accuracy. Use of SQs may therefore be a necessary tool for efficient problem representation but one that is insufficient when used in isolation. The naturalistic setting used in this study imposed a number of limitations, implying that further research should test whether instructional efforts should also emphasize recognition of key patient findings and knowledge representation.

Chicago↗