TY - JOUR
T1 - Rethinking Antimicrobial Resistance Surveillance
T2 - A Role for Lot Quality Assurance Sampling
AU - Ginting, F.
AU - Sugianli, A.K.
AU - Bijl, G.
AU - Saragih, R.H.
AU - Kusumawati, R.L.
AU - Parwati, I.
AU - De Jong, M.D.
AU - Schultsz, C.
AU - Van Leth, F.
N1 - © The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - © 2018 The Author(s).Global surveillance of antimicrobial resistance (AMR) is a key component of the 68th World Health Assembly Global Action Plan on AMR. Laboratory-based surveillance is inherently biased and lacks local relevance due to aggregation of data. We assessed the feasibility, sensitivity, and affordability of a population-based AMR survey using lot quality assurance sampling (LQAS), which classifies a population as having a high or low prevalence of AMR based on a priori defined criteria. Three studies were carried out in Medan and Bandung, Indonesia, between April 2014 and June 2017. LQAS classifications for 15 antibiotics were compared with AMR estimates from a conventional population-based survey, with an assessment of the cost of a single LQAS classification using microcosting methodology, among patients suspected of urinary tract infection at 11 sites in Indonesia. The sensitivity of LQAS was above 98%. The approach detected local variation in the prevalence of AMR across sites. Time to reach LQAS results ranged from 47 to 138 days. The average cost of an LQAS classification in a single facility was US$466. The findings indicate that LQAS-based AMR survey is a feasible, sensitive, and affordable strategy for population-based AMR surveys, providing essential data to inform local empirical treatment guidelines and antimicrobial stewardship efforts.
AB - © 2018 The Author(s).Global surveillance of antimicrobial resistance (AMR) is a key component of the 68th World Health Assembly Global Action Plan on AMR. Laboratory-based surveillance is inherently biased and lacks local relevance due to aggregation of data. We assessed the feasibility, sensitivity, and affordability of a population-based AMR survey using lot quality assurance sampling (LQAS), which classifies a population as having a high or low prevalence of AMR based on a priori defined criteria. Three studies were carried out in Medan and Bandung, Indonesia, between April 2014 and June 2017. LQAS classifications for 15 antibiotics were compared with AMR estimates from a conventional population-based survey, with an assessment of the cost of a single LQAS classification using microcosting methodology, among patients suspected of urinary tract infection at 11 sites in Indonesia. The sensitivity of LQAS was above 98%. The approach detected local variation in the prevalence of AMR across sites. Time to reach LQAS results ranged from 47 to 138 days. The average cost of an LQAS classification in a single facility was US$466. The findings indicate that LQAS-based AMR survey is a feasible, sensitive, and affordable strategy for population-based AMR surveys, providing essential data to inform local empirical treatment guidelines and antimicrobial stewardship efforts.
KW - Anti-Bacterial Agents/therapeutic use
KW - Drug Resistance, Bacterial
KW - Feasibility Studies
KW - Humans
KW - Indonesia
KW - Lot Quality Assurance Sampling/methods
KW - Population Surveillance/methods
KW - Prevalence
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85064139679&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/30608516
U2 - https://doi.org/10.1093/aje/kwy276
DO - https://doi.org/10.1093/aje/kwy276
M3 - Article
C2 - 30608516
SN - 0002-9262
VL - 188
SP - 734
EP - 742
JO - American journal of epidemiology
JF - American journal of epidemiology
IS - 4
ER -