Evidence map›Paper›PMID 30563558›Full record

ArticleBMC research notes2018

Assessment of inpatient antibiotic use in Halibet National Referral Hospital using WHO indicators: a retrospective study.

Nebyu Daniel Amaha, Yohana Haile Berhe, Atul Kaushik

Abstract read
In one paragraph

Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Changing times: The impact of gram-negative breakpoint changes over the previous decade.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022
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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

3 authors.

Nebyu Daniel AmahaSchool of Pharmacy, Asmara College of Health Sciences, 118-Adi Shimagle, P.O. Box 8566, Asmara, Eritrea. nebyudan@gmail.com.
Yohana Haile BerhePharmacy, Halibet National Referral Hospital, Asmara, Eritrea.
Atul KaushikSchool of Pharmacy, Asmara College of Health Sciences, 118-Adi Shimagle, P.O. Box 8566, Asmara, Eritrea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInappropriate use of antibiotics in primary care and hospital settings is a major contributing factor to the spread of antibiotic resistance. Many microorganisms were tested in Eritrea and have proven resistant to ampicillin. The aim of this study was to investigate the prescription pattern, hospital indicator and patient care indicator of antibiotics among hospitalized patients in Halibet National Referral Hospital, Asmara, Eritrea.

resultsThe data on prescription patterns showed 79% of hospitalizations had at least one antibiotic prescribed and on average 1.29 antibiotics were prescribed per hospitalization; prescribing using generic name was at 97%; all (100%) of the antibiotics were prescribed from the Eritrean National List of Medicines. On average an antibiotic was prescribed for 6.36 days (SD = 6.06). Ampicillin was the most commonly prescribed antibiotic (42.1%) and parenteral was the most common route prescribed (81.4%). The data on hospital indicators showed key antibiotics were out of stock on average for 78.18 days; 87.5% of key antibiotics were available on the day of the study. The data on patient care indicator showed patients taking antibiotics stayed in the hospital for 9.97 days (± 7.33 days).

Indexed as

World Health OrganizationAmpicillinAnti-Bacterial AgentsDrug PrescriptionsEritreaHospitalsHumansInpatientsRetrospective StudiesAmpicillinAnti-Bacterial AgentsAntibioticInpatient studyPrescriptionRational drug useWHO indicators

Identifiers

PMID30563558
PMCPMC6299551

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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.