[Determinants of the use of different healthcare levels in the General System of Social Security in Health in Colombia and the Unified Health System in Brazil].

OBJECTIVE: To compare the use of different healthcare levels, and its determinants, in two different health systems, the General System of Social Security in Health (GSSSH) and the Unified Health System (UHS) in municipalities in Colombia and Brazil. METHODS: A cross-sectional study was carried out, based on a population survey in two municipalities in Colombia (n=2163) and two in Brazil (n=2155). Outcome variables consisted of the use of primary care services, outpatient secondary care services, and emergency care in the previous 3 months. Explanatory variables were need and predisposing and enabling factors. Bivariate and multivariate logistic regression analyses were performed by healthcare level and country. RESULTS: The determinants of use differed by healthcare level and country: having a chronic disease was associated with a greater use of primary and outpatient secondary care in Colombia, and was also associated with the use of emergency care in Brazil. In Colombia, persons enrolled in the contributory scheme more frequently used the services of the GSSSH than persons enrolled with subsidized contributions in primary and outpatient secondary care and more than persons without insurance in any healthcare level. In Brazil, the low-income population and those without private insurance more frequently used the UHS at any level. In both countries, the use of primary care was increased when persons knew the healthcare center to which they were assigned and if they had a regular source of care. Knowledge of the referral hospital increased the use of outpatient secondary care and emergency care. CONCLUSIONS: In both countries, the influence of the determinants of use differed according to the level of care used, emphasizing the need to analyze healthcare use by disaggregating it by level of care

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity