The scenario of household pharmaceutical products: consumption, wastes, and disposal practices from a case study in Chile.

Concerns about the increasing consumption of medicines have been raised due to their contribution to waste pollution and environmental impacts. However, limited research addresses the profile and disposal practices of household medicines, particularly in Latin America. Therefore, this study analyzes the consumption, waste, and disposal of medicines within households in the commune of La Serena, Chile. Primary data were gathered through a semi-structured survey administered directly to a random sample of 430 households. The results indicate that women play a central role in managing medicines within households, with four therapeutic groups being most frequently used in medicines and generating waste: anti-inflammatory/analgesics, antihypertensives, lowering cholesterol, and antidiabetics. Ninety-six% of respondents were unaware of the collection points for this waste, and they disposed of it mainly in household garbage (78%) and sewage (13%). However, over 70% of them considered storing or disposing of medicines in household garbage or sewage to be "dangerous or very dangerous." Furthermore, 97% expressed support for collection campaigns. These results indicate the need for public policies to establish collection points for this waste and to inform consumers about the responsible use and proper disposal of medicines, particularly for women and patients with chronic illnesses.

A spatial fuzzy logic approach to urban multi-hazard impact assessment in Concepción, Chile.

Even though most cities are exposed to more than one hazard, local planners and decision-makers still have a limited understanding of the exposure and sensitivity to and the spatial distribution of hazards. We examine the impact of multiple hazards in the Concepción Metropolitan Area (CMA), Chile. A flexible methodology based on spatial fuzzy logic modelling was developed to explore the impact of weather-related hazards, including coastal flooding, fluvial flooding, water scarcity, heat stress, and wildfire. 32 indicators were standardised and then aggregated through a stepwise approach into a multi-hazard impact index. We find that all the municipalities in the CMA increased their level of impact between 1992 and 2002, due to a larger increase in the exposure rather than the modest decrease in sensitivity. Municipal sensitivity was driven mostly by changes in the population's age structure. Wildfires and water scarcity appeared to have the largest impact on all municipalities. Fuzzy modelling offered high flexibility in the standardisation and aggregation of indicators with diverse characteristics, while also providing a means to explore how the interaction of numerous indicators influenced the index. The resulting maps can help identify indicators, components, and hazards or combinations of hazards that most influence the impact on municipalities. The results can be used to improve and promote dialogue among policy-makers and stakeholders regarding prioritisation of resources for urban development in ways that can also reduce exposure and sensitivity and lower vulnerability to climate change. The methods presented can be adapted to other cities.