[Analysis of the choice of the specialty of Family and Community Medicine among MIR candidates in the period 2020 to 2024: Competitive preference index].

Objective: To know the degree of attraction towards Family and Community Medicine (MFyC) among MIR candidates by calculating the Competitive Preference Index (CPI) in the 2020 to 2024 calls.

Design: Observational study of analysis of secondary sources based on information from the website of the Ministry of Health.

Site And Participants: The MIR squares of the 5 most populated Spanish cities were chosen.

Delivering an innovative multi-infection and female genital mutilation screening to high-risk migrant populations (ISMiHealth): study protocol of a cluster randomised controlled trial with embedded process evaluation.

Introduction: ISMiHealth is a clinical decision support system, integrated as a software tool in the electronic health record system of primary care, that aims to improve the screening performance on infectious diseases and female genital mutilation (FGM) in migrants. The aim of this study is to assess the health impact of the tool and to perform a process evaluation of its feasibility and acceptability when implemented in primary care in Catalonia (Spain).

Methods And Analysis: This study is a cluster randomised control trial where 35 primary care centres in Catalonia, Spain will be allocated into one of the two groups: intervention and control.

Information provision and financial incentives in Catalonia's public primary care (2010-2019): an interrupted time series analysis.

Background: The relative efficacy of information provision versus financial incentives in improving primary care quality remains a critical, unresolved question. We investigated these two strategies in Catalonia's public primary care system from 2010 to 2019: an innovative online platform providing real-time quality indicator information and targeted economic incentives for achieving indicator goals.

Methods: We conducted a comprehensive interrupted time series regression analysis on data from 272 primary care practices (5,628,080 patients).

A Predictive Model of the Start of Annual Influenza Epidemics.

Influenza is a respiratory disease that causes annual epidemics during cold seasons. These epidemics increase pressure on healthcare systems, sometimes provoking their collapse. For this reason, a tool is needed to predict when an influenza epidemic will occur so that the healthcare system has time to prepare for it.