Evidence-based Decision-making on Antimicrobial Resistance
Evidence-based Decision-making on Antimicrobial Resistance
Latin American quality control programme in Bacteriology and Antimicrobial Drug Resistance

Challenges

Antimicrobial resistance (AMR) affects all countries and endangers the effectiveness of prevention and treatment of infections by viruses, bacteria, fungi and parasites. Antimicrobial resistance occurs when microorganisms (e.g. bacteria, fungi, viruses and parasites) change when they are exposed to antimicrobial drugs (e.g. antibiotics, antifungals, antivirals, antimalarials and anthelmintics). Microorganisms that develop antimicrobial resistance are sometimes referred to as ‘superbugs’. Asaresult, the medicines become ineffective and infections persist in the body, increasing the risk of spread to others. AMR is an increasingly serious threat to global public health that requires action across all government sectors and society. It is estimated that 10 per cent of all patients who receive hospital care develop a healthcare-associated infection. In recent years, the Latin America and the Caribbean region experienced a series of outbreaks caused by multi-drug resistant bacteria, impacting lives and hospital costs.

Towards a Solution

Since the 1990s, Pan American Health Organization/World Health Organization (PAHO/ WHO) has recognized the importance of laboratory capacity for AMR surveillance and created the Latin American Antimicrobial Resistance Surveillance Network (ReLAVRA) in 1996 to obtain reliable microbiological data and timely and repeatable information to improve patient care and strengthen surveillance through sustainable quality assurance programmes.

This Network, which was built by Argentina, the Plurinational State of Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, the Dominican Republic, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, and the Bolivarian Republic of Venezuela, established the Latin American Quality Control Programme in Bacteriology and Antimicrobial Drug Resistance (LA-EQAS), implemented by the Antimicrobial Department of the Instituto Nacional de Enfermedades Infecciosas (INEI) in Argentina. The latter has a dual function: to ensure the quality of surveillance data and to strengthen the countries’ reference laboratories.

LA-EQAS is fundamental in terms of achieving reliable laboratory data, which are the basis of AMR surveillance. Through this initiative, data quality is ensured by standardizing techniques so that the entire region ‘speaks the same language’ and the countries can compare and share solutions. AMR data contributes to reducing infant and maternal mortality, improving population health, and fighting curable and preventable diseases through the use of safe and affordable antimicrobials for all.

LA-EQAS has strengthened the laboratories of the countries of the Network through training courses, generating reference strains, defining resistance mechanisms, issuing publications and holding online sessions with the countries of the Network.

The success of this horizontal cooperation among countries and in triangulation with PAHO/WHO is based on continuity over time, commitment of the health authorities, financial support from seed and resources from PAHO/WHO and the laboratories of the countries, as well as the great leadership and solidary of the INEI of ANLIS-Argentina.

Contact Information

Country and Subregional Coordination Office, Pan American Health Organization (PAHO/WHO)

Countries involved

Argentina, Bolivia (Plurinational State of), Chile

Supported by

Pan American Health Organization (PAHO/WHO)

Implementing Entities

Servicio de Antimicrobianos del Instituto Nacional de Enfermedades Infecciosas (INEI) – Argentina; Pan American Health Organization (PAHO/WHO); National reference laboratories of 17 countries in the Americas

Project Status

Completed

Project Period

9/2000 - 2020

URL of the practice

http://goo.gl/SyLKTw

Primary SDG

03 - Good Health and Well-being

Primary SDG Targets

3.1, 3.2, 3.3, 3.8

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