Evidence map›Paper›PMID 31482420›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020

Redundant combinations of antianaerobic antimicrobials: impact of pharmacist-based prospective audit and feedback and prescription characteristics.

Moonsuk Kim, Hyung-Sook Kim, Young Joo Song, Eunsook Lee, Kyoung-Ho Song, Pyoeng Gyun Choe, Wan Beom Park, Ji Hwan Bang, Eu Suk Kim, Sang-Won Park and 3 more

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Moonsuk KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Hyung-Sook KimDepartment of Pharmacy, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Young Joo SongDepartment of Pharmacy, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Eunsook LeeDepartment of Pharmacy, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Kyoung-Ho SongDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Pyoeng Gyun ChoeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Wan Beom ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ji Hwan BangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Eu Suk KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Sang-Won ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Nam Joong KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Myoung-Don OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hong Bin KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea. hbkimmd@snu.ac.kr.ORCID http://orcid.org/0000-0001-6262-372X

Funding

Korea Health Industry Development Institute (KR) HI16C0684
6 · The paper itself

Abstract

This study aimed to evaluate the impact of the intervention targeting the redundant combination of antianaerobic antimicrobials on its incidence and associated antimicrobial consumption. To reveal the characteristics of the combination and the change in the related workload over time was an additional aim of the study. The combinations of metronidazole or clindamycin with antianaerobic antimicrobials were classified into redundant or acceptable, according to the target indications. A pharmacist-based prospective audit and feedback targeting the redundant antianaerobic combination was conducted. Segmented regression analysis was performed to evaluate the impact of the intervention. As a quantitative index of the interventional activity, the change in the number of signed consultation notes was evaluated. After the initiation of the intervention, the median monthly cumulative incidence of the redundant combination decreased from 5.29 (Interquartile range [IQR] 4.94-5.70) to 3.33 (IQR 2.87-3.71) (p < 0.001) per 1000 admissions per month. The consumption of concurrently administered metronidazole and clindamycin decreased from 3.34 (IQR 2.97-4.10) to 1.74 (IQR 1.19-1.93) (p < 0.001) per 1000 patient-days per month. Segmented regression analysis revealed that the monthly cumulative incidence decreased by 28.5% after the initiation of the intervention (change in level - 1.640, p = 0.019) and the monthly consumption decreased by 33.9% (change in level - 1.409, p = 0.009). The number of consultation notes per 1000 admissions per month decreased over time (regression coefficient - 0.004, p < 0.001). The pharmacist-based intervention significantly reduced the incidence and associated antimicrobial consumption of the redundant antianaerobic combination. The overall related workload reduced steadily over time.

Indexed as

PharmacistsQuality of Health CareAnti-Bacterial AgentsBacteria, AnaerobicClindamycinHumansInappropriate PrescribingMetronidazolePhysiciansPrescriptionsProspective StudiesAnti-Bacterial AgentsClindamycinMetronidazoleAnaerobic bacteriaAntimicrobial stewardshipInappropriate antimicrobial usePharmacist-based interventionRedundant antimicrobial therapy

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Registered trials

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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.