Surveillance of antimicrobial consumption (AMC) is essential to anticipate and inform policies and public health decisions to prevent and/or contain antimicrobial resistance (AMR). This manuscript shares the experience on AMC data collection in Latin American & Caribbean (LAC). The WHO GLASS-AMC methodology for AMC surveillance was used for data registration during the period 2019-2022. Focal points belonging to each country were contacted and trained for AMC source of information detection, managing registration tools, and data analysis. Thirteen countries were enrolled with significant heterogeneity in the AMC results (range 2.55-36.26 DID-AMC). This experience reflects the heterogeneity of realities in LAC countries; how each one of the nations selected the best sources to collect AMC data, which were the main problems in applying the WHO-AMC collection tool, and the approach that each country gave to the analysis of its data. Finally, some examples are provided on the use of AMC information in making the best decision-making related to AMR control policies at the national level.
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http://dx.doi.org/10.1017/S0950268824001237 | DOI Listing |
Epidemiol Infect
January 2025
Pan American Health Organization, Washington, DC, USA.
Surveillance of antimicrobial consumption (AMC) is essential to anticipate and inform policies and public health decisions to prevent and/or contain antimicrobial resistance (AMR). This manuscript shares the experience on AMC data collection in Latin American & Caribbean (LAC). The WHO GLASS-AMC methodology for AMC surveillance was used for data registration during the period 2019-2022.
View Article and Find Full Text PDFBackground: Accurate estimates of incremental cost (IC) attributable to antimicrobial resistance (AMR) provide information of immense public health importance to the policy makers. Here, we present the IC from patient perspective for treating antimicrobial-resistant pathogens in India.
Methods: This cohort study was conducted in eight hospitals including government (GH), private (PH) and trust hospitals (TH), considering their ownership, geographical location and categories of cities.
BMJ Open
December 2024
Perinatal HIV Research Unit (PHRU), University of the Witwatersrand Johannesburg, Johannesburg, Gauteng, South Africa.
Purpose: In the setting of an established childhood pneumococcal vaccination programme with immediate initiation and treatment of antiretroviral therapy (ART) for people living with HIV (PLWH), the risk of adult pneumococcal community-acquired pneumonia (CAP) is not recently described. We aimed to investigate CAP incidence, recurrence, mortality, risk factors and microbiology before and during the COVID-19 pandemic.
Participants: Adults aged ≥18 years were enrolled in three South African provinces from March 2019 to October 2021, with a brief halt during the initial COVID-19 lockdown.
J Health Popul Nutr
January 2025
Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Socioeconomic inequality in nutritional status as one of the main social determinants of health can lead to inequality in health outcomes. In the present study, the socioeconomic inequality in the burden of nutritional deficiencies among the countries of the world using Global Burden of Disease (GBD) data was investigated.
Methods: Burden data of nutritional deficiencies and its subsets including protein-energy malnutrition, iodine deficiency, vitamin A deficiency, and dietary iron deficiency form GBD study and Human Development Index (HDI), a proxy for the socio-economic status of countries, from united nations database were collected.
Infect Drug Resist
January 2025
School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.
Purpose: To evaluate the long-term impacts of the feedback intervention on controlling inappropriate use of antimicrobial prescriptions in primary care institutions in China, as a continuation of the previous feedback intervention trial.
Methods: After the intervention ended, we conducted a 12-month follow-up study. The prescription data were collected from the baseline until the end of the follow-up period.
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