Evidence map›Paper›PMID 29855273›Full record

ArticleBMC infectious diseases2018

A few antibiotics can represent the total hospital antibiotic consumption.

Bongyoung Kim, Hyeonjun Hwang, Jieun Kim, Myoung-Jae Lee, Hyunjoo Pai

Abstract read
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Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Antibiotic consumption in secondary and tertiary hospitals in Colombia: national surveillance from 2018-2020.Revista panamericana de salud publica = Pan American journal of public health · 2023
    Article
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5 · Who and what money

Authors and funding

5 authors.

Bongyoung KimDepartment of Internal medicine, College of Medicine, Hanyang University, 222-1 Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea.
Hyeonjun HwangSchool of Economic Sciences, Washington State University, Pullman, USA.
Jieun KimDepartment of Internal medicine, College of Medicine, Hanyang University, 222-1 Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea.
Myoung-Jae LeeDepartment of Economics, College of Political Science & Economics, Korea University, 145 Anam-ro, Sungbuk-gu, Seoul, 02841, South Korea. myoungjae@korea.ac.kr.
Hyunjoo PaiDepartment of Internal medicine, College of Medicine, Hanyang University, 222-1 Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea. paihyunjoo@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppropriate antibiotic use has become an important issue. However, collecting data on the use of all antibiotics in a hospital is difficult without an advanced computerized system and dedicated staff. This paper examines if 1-3 antibiotics can satisfactorily represent the total antibiotic consumption at the hospital level.

methodsWe collected antibiotic data from six large university hospitals in Korea for some years between 2004 and 2012. Since the total antibiotics consist of a few chosen representative antibiotics and the rest, we used those chosen antibiotics along with additional variables constructed only with t (time) such as t, t

resultsWe found that fluoroquinolones and aminoglycosides were the most representative, followed by beta-lactam/beta-lactamase inhibitors and 4th-generation and 3rd-generation cephalosporins. The mean prediction error over 12 months in 2013 with these few antibiotics was only 1-3% of the monthly antibiotic consumption amount.

conclusionsThe total antibiotic consumption amount at the hospital level can be represented sufficiently by a few antibiotics, such as fluoroquinolones and aminoglycosides, which means that hospitals can save resources by tracing only the usage of those few antibiotics instead of the entire inventory. Since the choice of fluoroquinolones and aminoglycosides is based solely on our Korean data, other hospitals may follow the same modelling methodology to find their own representative antibiotics.

Indexed as

Models, StatisticalAnti-Bacterial AgentsAntimicrobial StewardshipHospitalsHumansInappropriate PrescribingPractice Patterns, Physicians'Republic of KoreaAnti-Bacterial AgentsaminoglycosideAntibiotic consumptionantimicrobial stewardshipfluoroquinolonestatistical model

Identifiers

PMID29855273
PMCPMC5984315

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.