Atencion primaria
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Multicenter Study
[How to improve community engagement in health: Analysis of proposed actions following the implementation of a community engagement assessment tool].
To analyse the lines of action identified in the health promotion projects participating in the EvaluA GPS research, and their relationship with the scores assigned in EvalGuia, a tool for evaluating evidence-based community participation. ⋯ The EvalGuide tool can be helpful to design action plans in Health Promotion projects. The implementation of measures in 12 months to increase the diversity of the core working group, to incorporate work-life balance measures or to improve evaluation is difficult. More time is needed to implement such measures.
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Family and Community Medicine is the most offered and chosen specialty in the MIR (Spanish medical residency examination), however, every year its attractiveness is questioned due to not all offered positions being filled and a certain number of resident doctors deciding not to continue in this specialty once started. In this context, some of the proposals to address the problem focus on increasing the supply when the facts show that the challenge lies in addressing the demand by making the specialty and its professional scope more attractive. The problem and its determinants are analyzed in this context by focusing on four elements that may be influencing it: the vocational aspects of medical graduates who pursue specialization, the characteristics of the specialty program and the teaching units where training is carried out, the presence of family medicine in the university as a key element for knowledge and affinity to this specialty from undergraduate studies, and finally, the situation of primary care as the space where training is materialized and the priority setting for the professional practice of future specialists.
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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.