Evidence map›Paper›PMID 37717012›Full record

ArticleAntimicrobial resistance and infection control2023

Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey.

Tiyani Comfort Mthombeni, Johanita Riétte Burger, Martha Susanna Lubbe, Marlene Julyan

Abstract readMulticenter Study
In one paragraph

Article in Antimicrobial resistance and infection control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  3. Review
  4. Antibiotic prescribing in public primary healthcare centres in Maseru, Lesotho.Southern African journal of infectious diseases · 2025
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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

4 authors.

Tiyani Comfort MthombeniMedicine Usage in South Africa (MUSA), North-West University Potchefstroom Campus, Potchefstroom, South Africa.ORCID http://orcid.org/0000-0001-9677-8500
Johanita Riétte BurgerMedicine Usage in South Africa (MUSA), North-West University Potchefstroom Campus, Potchefstroom, South Africa. johanita.burger@nwu.ac.za.ORCID http://orcid.org/0000-0002-1740-5675
Martha Susanna LubbeMedicine Usage in South Africa (MUSA), North-West University Potchefstroom Campus, Potchefstroom, South Africa.ORCID http://orcid.org/0000-0001-7611-6171
Marlene JulyanMedicine Usage in South Africa (MUSA), North-West University Potchefstroom Campus, Potchefstroom, South Africa.ORCID http://orcid.org/0000-0002-5366-8173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic continuous surveillance databases are ideal for monitoring antibiotic use (ABU) in hospitalised patients for antibiotic stewardship programmes (ASP). However, such databases are scarce in low-resource settings. Point prevalence surveys (PPS) are viable alternatives. This report describes ABU and identifies ASP implementation improvement areas in Limpopo Province, South Africa.

methodsThis cross-sectional descriptive study extracted patient-level ABU data from patients' files using a modified global PPS tool. Data were collected between September and November 2021 at five regional hospitals in Limpopo Province, South Africa. All patients in the wards before 8 a.m. on study days with an antibiotic prescription were included. Antibiotic use was stratified by Anatomic Therapeutic Chemical and Access, Watch, Reserve classifications and presented as frequencies and proportions with 95% confidence intervals (CI). Associations between categorical variables were assessed using the chi-square test. Cramér's V was used to assess the strength of these associations.

resultsOf 804 inpatients surveyed, 261 (32.5%) (95% CI 29.2-35.7) were prescribed 416 antibiotics, 137 were female (52.5%) and 198 adults (75.9%). One hundred and twenty-two (46.7%) patients received one antibiotic, 47.5% (124/261) received two, and 5.7% (15/261) received three or more antibiotics. The intensive care units had a higher ABU (68.6%, 35/51) compared to medical (31.3%, 120/384) and surgical (28.5%, 105/369) wards (p = 0.005, Cramér's V = 0.2). Lower respiratory tract infection (27.4%, 104/379), skin and soft tissue infections (SST) (23.5%, 89/379), and obstetrics and gynaecology prophylaxis (14.0%, 53/379) were the common diagnoses for antibiotic prescriptions. The three most prescribed antibiotic classes were imidazoles (21.9%, 91/416), third-generation cephalosporins (20.7%, 86/416) and combination penicillin (18.5%, 79/416). Access antibiotics accounted for 70.2% (292/416) of prescriptions and Watch antibiotics for 29.6% (123/416) (p = 0.110, Cramér's V = 0.1). Reasons for prescribing and treatment plans were documented in 64.9% (270/416) (95% CI 60.3-69.5) and 21.4% (89/416) (95% CI 17.3-25.3) of prescriptions, respectively.

conclusionsThe study serves as a baseline for ABU surveillance at the five regional hospitals in Limpopo Province. Lack of documentation indicates poor prescribing practices; ASP should address gaps by deploying evidence-based, multifaceted and stepwise interventions.

Indexed as

Anti-Bacterial AgentsInpatientsAdultCross-Sectional StudiesFemaleHumansMalePregnancyPrevalenceSouth AfricaAnti-Bacterial AgentsAntibiotic stewardshipAntibiotic useAWaRe (Access Watch Reserve)LimpopoPoint prevalence surveySouth Africa

Identifiers

PMID37717012
PMCPMC10505321

What OpenQuestion holds

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LicenceCC BY
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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.