The results of statistical tests in orthopedic studies are typically reported using P-values. If a P-value is smaller than the pre-determined level of significance (eg, < .05), the null hypothesis is rejected in support of the alternative. This automaticity in interpreting statistical results without consideration of the power of the study has been denounced over the years by statisticians, since it can potentially lead to misinterpretation of the study conclusions. In this paper, we review fundamental misconceptions and misinterpretations of P-values and power, along with their connection with confidence intervals, and we provide guidelines to orthopedic researchers for evaluating and reporting study results. We provide real-world orthopedic examples to illustrate the main concepts. Please visit the followinghttps://youtu.be/bdPU4luYmF0for videos that explain the highlights of the paper in practical terms.相似文献
Objectives: Hip fracture is a common and morbid condition, affecting a patient population with significant medical co-morbidities. A number of medical co-management models have been studied, with conflicting reports of effect on patient outcomes. Our objective was to compare outcomes for patients with hip fracture managed by hospitalist vs. non-hospitalist services at an academic medical center.
Methods: We conducted a retrospective cohort study of patients with hip fracture over 1 year, comparing those on hospitalist vs. non-hospitalist services. Outcomes included 30-day readmission and hospitalization ≤7 days, with comparison between patients admitted to hospitalist vs. non-hospitalist services. We performed multivariate analysis, adjusting for age, gender, race/ethnicity, insurance type, ASA score, and blood transfusion during hospitalization and days from admission to surgery.
Results: We identified 124 hospitalist and 53 non-hospitalist patients. In unadjusted analysis, hospitalist patients were more likely to have hospitalization ≤7 days (84.7% vs. 67.9%, p = 0.01). In adjusted analysis, hospitalist patients had lower odds of 30-day readmissions (OR 0.2, 95% CI 0.04–0.97) but no difference in odds of hospitalization ≤7 days (OR 2.1, 95% CI 0.82–5.66).
Conclusions: Patients with hip fracture managed by hospitalist vs. non-hospitalist services had lower odds of 30-day readmission after discharge. Our results suggest benefit to hospitalist co-management of hip fracture patients. 相似文献