Atencion primaria
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Mental Health (MH) and Female Genital Mutilation (FGM) are two aspects of migrant health that should be addressed and screened in primary care. These topics are inherently sensitive, often challenging and difficult to approach in routine consultations. Providing comprehensive care and management needs both knowledge and a careful approach, yet these factors may sometimes result in low screening of both health issues. ⋯ FGM is a serious health issue for girls and women that should be assessed in primary care. This includes prevention for at-risk girls, support and care for affected women and community initiatives. To engage with individuals from high-risk countries, both men and women is essential to facilitate change and help to end this harmful practice.
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The prevalence of obesity has increased in recent years worldwide. In this context, strategies for management obesity in primary care are essential. ⋯ There is no universal model of care for patients with obesity, but it must take into account key aspects, such as facilitating the access and adherence of the patient and a multidisciplinary and coordinated care among professionals at different levels of healthcare. The components of the model of care and its format should be defined according to the resources available and the characteristics of the population to be treated.
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To determine whether the β-lactam allergy delabeling was safe and cost-saving in Primary Care (PC) patients. ⋯ To delabel β-lactam allergy in Primary Care patients is safe in most patients, cost-saving in antibioticotherapy, and allows identify the main clinical β-lactam allergy phenotypes that benefit from this procedure.
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To analyze the Wakabayashi & Daimon (2015) equation, as a predictive indicator of cardiometabolic diseases and its comparison with other indices. ⋯ Odds ratio, hazard ratio, sensitivity, and specificity were used to assess associations, risk, effectiveness, and validity of the tests, indicating favorable relationships between the factors analyzed and the results obtained. Validation and probabilistic analysis of the CMI were performed against diverse diseases such as obesity [Man >60y=AUC=0.90 (0.75-1.00) (p=0.01), Se=100, Sp=81.8, YI=0.82 and OR 4.66 and Women >60y=AUC=0.95 (0.88-1.00), p=0.001, Se=90.0, Sp=100, YI=0.90 and OR=36.27]; cardiovascular diseases [AUC=0.617, Se=0.675, Sp=0.509; HR=1.48 (1.33, 1.65), p=<0.001], among others. In conclusion CMI is a new utility index that broadly identifies the presence of risk that leads to cardiometabolic diseases in adults.