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

BACKGROUND: Electronic 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 repor...

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Autores principales: Mthombeni, Tiyani Comfort, Burger, Johanita Riétte, Lubbe, Martha Susanna, Julyan, Marlene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505321/
https://www.ncbi.nlm.nih.gov/pubmed/37717012
http://dx.doi.org/10.1186/s13756-023-01306-z
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author Mthombeni, Tiyani Comfort
Burger, Johanita Riétte
Lubbe, Martha Susanna
Julyan, Marlene
author_facet Mthombeni, Tiyani Comfort
Burger, Johanita Riétte
Lubbe, Martha Susanna
Julyan, Marlene
author_sort Mthombeni, Tiyani Comfort
collection PubMed
description BACKGROUND: Electronic 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. METHODS: This 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. RESULTS: Of 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. CONCLUSIONS: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-023-01306-z.
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spelling pubmed-105053212023-09-18 Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey Mthombeni, Tiyani Comfort Burger, Johanita Riétte Lubbe, Martha Susanna Julyan, Marlene Antimicrob Resist Infect Control Research BACKGROUND: Electronic 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. METHODS: This 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. RESULTS: Of 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. CONCLUSIONS: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-023-01306-z. BioMed Central 2023-09-16 /pmc/articles/PMC10505321/ /pubmed/37717012 http://dx.doi.org/10.1186/s13756-023-01306-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mthombeni, Tiyani Comfort
Burger, Johanita Riétte
Lubbe, Martha Susanna
Julyan, Marlene
Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey
title Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey
title_full Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey
title_fullStr Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey
title_full_unstemmed Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey
title_short Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey
title_sort antibiotic prescribing to inpatients in limpopo, south africa: a multicentre point-prevalence survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505321/
https://www.ncbi.nlm.nih.gov/pubmed/37717012
http://dx.doi.org/10.1186/s13756-023-01306-z
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