Evidence map›Paper›PMID 39170606›Full record

ArticleJAC-antimicrobial resistance2024

Use what you have: leveraging microbiology support to develop a cumulative antibiotic susceptibility report for antimicrobial stewardship at a district hospital in Ghana.

Benedicta Bosu, Obed Kwabena Offe Amponsah, Phyllis Tawiah, Eric Darko, Nana Akua Abruquah, Annabella Bensusan Osafo, Emmanuel Sarkodie, Nana Bugyei Buabeng, Otridah Kapona, Alex Owusu-Ofori and 2 more

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Benedicta BosuUniversity Hospital, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.ORCID https://orcid.org/0009-0006-0526-6272
Obed Kwabena Offe AmponsahDepartment of Pharmacy Practice, Faculty of Pharmacy and Pharmaceutical Sciences, KNUST, Kumasi, Ghana.ORCID https://orcid.org/0000-0003-0016-7639
Phyllis TawiahUniversity Hospital, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Eric DarkoUniversity Hospital, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Nana Akua AbruquahUniversity Hospital, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Annabella Bensusan OsafoUniversity Hospital, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Emmanuel SarkodieUniversity Hospital, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Nana Bugyei BuabengUniversity Hospital, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Otridah KaponaZambia National Public Health Institute, Lusaka, Zambia.
Alex Owusu-OforiDepartment of Clinical Microbiology, School of Medicine and Dentistry, KNUST, Kumasi, Ghana.
Kwame Ohene BuabengSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Nana Kwame Ayisi-BoatengUniversity Hospital, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antibiograms provide effective support for empirical prescribing and antimicrobial stewardship programmes (ASPs). In low-resource settings, microbiology systems to develop antibiograms may be rudimentary or entirely lacking, which may place such facilities at a disadvantage. Notwithstanding this, facilities should use what they have to support ASPs to inform evidence-based antibiotic use. We report how an antibiogram was developed at a district hospital in Ghana to support its ASP. Methods: This was a retrospective analysis of antibiotic susceptibility testing (AST) results from the University Hospital, KNUST from January to December 2021. Data were exported from the hospital's laboratory information system to Microsoft Excel (Version 2013). IBM SPSS Statistics (Version 25) and Epi Info™ Version 7 were used for statistical analyses. Results: Overall, 1949 cultures were performed, 392 (20.1%) growing bacterial pathogens. Per the CLSI M39-A4 standard guidelines for antibiograms, only 360 of the bacterial isolates were used for the analyses. The majority of isolates were from urine (187; 51.9%). Among the Gram-negative bacteria, there was low susceptibility to amoxicillin/clavulanic acid (28%), cephalosporins (11%-35%) and meropenem (21%), but high susceptibility to amikacin (96%) and levofloxacin (81%). Low susceptibility of Gram-positive isolates to amoxicillin/clavulanic acid (34%), meropenem (34%) and penicillins (27%-35%) was also recorded, but high susceptibility to ciprofloxacin (80%), gentamicin (79%) and vancomycin (76%). Conclusion: High levels of bacterial resistance to cephalosporins and meropenem in the antibiogram were reported. This antibiogram highlighted the urgent need for pragmatic steps to curb antibiotic resistance through ASPs using strategies that positively improve clinicians' knowledge and prescribing practices.

Identifiers

PMID39170606
PMCPMC11337119

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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.