BackgroundThe FRAX® tool estimates the risk of a fragility fracture among the population and many countries have been evaluating its performance among their populations since its creation in 2007.The purpose of this study is to update the first FRIDEX cohort analysis comparing FRAX with the bone mineral density (BMD) model, and its predictive abilities.MethodsThe discriminatory ability of the FRAX was assessed using the ‘area under curve’ of the receiver operating characteristic (AUC-ROC). Predictive ability was assessed by comparing estimated risk fractures with incidence fractures after a 10-year follow up period.ResultsOne thousand three hundred eight women ≥ 40 and ≤ 90 years followed up during a 10-year period. The AUC for major osteoporotic fractures using FRAX without DXA was 0.686 (95 % CI 0.630–0.742) and using FN T-score of DXA 0.714 (95 % CI 0.661–0.767). Using only the traditional parameters of DXA (FN T-score), the AUC was 0.706 (95 % CI 0.652–0.760). The AUC for hip osteoporotic fracture was 0.883 (95 % CI 0.827–0.938), 0.857 (95 % CI 0.773–0.941), and 0.814 (95 % CI 0.712–0.916) respectively. For major osteoporotic fractures, the overall predictive value using the ratio Observed fractures/Expected fractures calculated with FRAX without T-score of DXA was 2.29 and for hip fractures 2.28 and with the inclusion of the T-score 2.01 and 1.83 respectively. However, for hip fracture in women < 65 years was 1.53 and 1.24 respectively.ConclusionsThe FRAX tool has been found to show a good discriminatory capacity for detecting women at high risk of fragility fracture, and is better for hip fracture than major fracture. The test of sensibility shows that it is, at least, not inferior than when using BMD model alone. The predictive capacity of FRAX tool needs some adjustment. This capacity is better for hip fracture prediction and better for women < 65 years. Further studies in Catalonia and other regions of Spain are needed to fine tune the FRAX tool’s predictive capability.
Evaluation of clinical communication skills in medical students with simulated patients Background: Communication skills are not learnt innately. It is therefore necessary to both train and evaluate medical students in this area. Aim: To evaluate communication skills of fourth-year medical students with the use of a simulated patient (SP). Material and Methods: Four clinical scenarios (CS) for clinical interviews with simulated patients were designed: chronic and acute diseases, difficult and functional patients. Each student performed the four CS, and his communication skills were evaluated using our own questionnaire as agreed with the SP. The questionnaire included items on verbal and nonverbal communication, warmth, respect, specificity, assertiveness and empathy (rated from 0 to 10). The response variable was the arithmetic mean of the scores on each item. All students received a detailed evaluation report. Results: Sixty one students (32 men) performing 244 interviews, were evaluated. The overall mean score was 7.87 (4.62 to 9.03). The highest scores were for respect and specificity (7.57 and 7.15 respectively). The lowest were for empathy and nonverbal communication (6.44 and 6.84 respectively). The CS evaluations were 7.87 (chronic disease), 7.02 (difficult patient), 6.46 (acute disease) and 6.14 (functional pathology). Women had higher overall scores compared to men (7.26 and 6.51 respectively; p < 0.01) and a significantly higher score in all communication variables (p < 0.01). Conclusions: The overall assessment in clinical communication with SP is satisfactory although there is room for improvement, especially in empathy and nonverbal communication. Women had significantly higher scores than men.
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