A comparative assessment of action plans on antimicrobial resistance from OECD and G20 countries using natural language processing

Ece A Özçelik, Cédric Doucet, Hyunjin Kang, Noémie Levy, Isabelle Feldhaus, Tiago Cravo Oliveira Hashiguchi, Aliénor Lerouge and Michele Cecchini

Health Policy, 2022, vol. 126, issue 6, 522-533

Abstract: Following the launch of the Global Action Plan on antimicrobial resistance (AMR-GAP) in 2015, most OECD and G20 countries developed their own national action plans (AMR-NAPs). This is the first paper that deploys natural language processing (NLP) techniques to systematically measure and compare the extent to which AMR-NAPs from 21 OECD and G20 countries align with the AMR-GAP in terms of the strategic objectives and interventions. We quantify the extent of alignment based on two NLP metrics: term-frequency (TF) and term-frequency-inverse document frequency (TF-IDF). Quantifying TF allows us to compare the relative prominence of strategic objectives and interventions, whereas quantifying TF-IDF enables us to identify interventions that occur more frequently in each AMR-NAP. Similar to the AMR-GAP, in our sample, terms associated with optimizing antimicrobial use in human and animal health have the highest frequency (TF = 0. 287), whereas terms linked to raising AMR awareness and education have the lowest frequency (TF = 0.066). Substantial cross-country variation exists in the distribution of interventions that are distinctly frequent in each AMR-NAP. We also report new evidence on the selected policy design and monitoring and evaluation features of these documents. Our results suggest a high degree of congruence between the AMR-GAP and AMR-NAPs, with notable diversity in the spate of interventions that OECD and G20 countries discuss in their action plans.

Keywords: Antimicrobial resistance; National action plans; Global action plan on AMR; OECD; G20; Natural language processing (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0168851022000677
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:126:y:2022:i:6:p:522-533

DOI: 10.1016/j.healthpol.2022.03.011

Access Statistics for this article

Health Policy is currently edited by Katrien Kesteloot, Mia Defever and Irina Cleemput

More articles in Health Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu () and ().