Cureus · 2021
No Association Observed Between the Number of Infectious Disease Experts and Prevalence of Antimicrobial-Resistant Pathogens in Japan.
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Hagiya Hideharu, Otsuka Fumio
Аннотация
INTRODUCTION: The global spread of emerging infections has increased the demand for infectious disease (ID) experts. There is no established method to evaluate the sufficiency of professionals on a regional basis. We aimed to determine the correlation of the number of ID doctors and certified nurses in infection control (CNIC) with the prevalence of representative antimicrobial-resistant (AMR) pathogens across the 47 prefectures in Japan using publicly available databases.
METHODS: We determined the number of ID doctors and CNIC registered in each prefecture based on the Japanese Association for Infectious Diseases and the Japanese Nursing Association websites and calculated their numbers per 100,000 population. Data on representative AMR pathogens were extracted from the Japan Nosocomial Infections Surveillance database. Spearman's correlation coefficient was used to measure statistical associations.
RESULTS: There was no epidemiologically applicable correlation between the deployment of ID doctors and CNIC and the isolation rates of methicillin-resistant Staphylococcus aureus, vancomycin-resistant Enterococcus faecium, cefotaxime- or levofloxacin-resistant Escherichia coli and Klebsiella pneumoinae, and meropenem-resistant Pseudomonas aeruginosa. Solely, the isolation rate of levofloxacin-resistant K. pneumoinae and the number of CNIC were statistically correlated (correlation coefficient = -0.33; p = 0.02), while the isolation rate of cefotaxime-resistant E. coli was paradoxically correlated with the number of ID doctors (correlation coefficient = 0.33; p = 0.02). Conclusions: Our macroscopic analysis using the open database was not a reliable method to evaluate the sufficiency of ID experts across the prefectures in Japan. A scheme to assess the appropriate distribution of ID experts should be developed.
METHODS: We determined the number of ID doctors and CNIC registered in each prefecture based on the Japanese Association for Infectious Diseases and the Japanese Nursing Association websites and calculated their numbers per 100,000 population. Data on representative AMR pathogens were extracted from the Japan Nosocomial Infections Surveillance database. Spearman's correlation coefficient was used to measure statistical associations.
RESULTS: There was no epidemiologically applicable correlation between the deployment of ID doctors and CNIC and the isolation rates of methicillin-resistant Staphylococcus aureus, vancomycin-resistant Enterococcus faecium, cefotaxime- or levofloxacin-resistant Escherichia coli and Klebsiella pneumoinae, and meropenem-resistant Pseudomonas aeruginosa. Solely, the isolation rate of levofloxacin-resistant K. pneumoinae and the number of CNIC were statistically correlated (correlation coefficient = -0.33; p = 0.02), while the isolation rate of cefotaxime-resistant E. coli was paradoxically correlated with the number of ID doctors (correlation coefficient = 0.33; p = 0.02). Conclusions: Our macroscopic analysis using the open database was not a reliable method to evaluate the sufficiency of ID experts across the prefectures in Japan. A scheme to assess the appropriate distribution of ID experts should be developed.