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Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda

BACKGROUND: Human antibacterial exposure occur in different ways including consumption of animal and agricultural products as well as use of prescribed and non-prescribed agents. We estimated the prevalence and explored the predictors of antibacterial use among patients presenting to hospitals in no...

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Autores principales: Ocan, Moses, Manabe, Yukari C., Baluku, Hannington, Atukwase, Esther, Ogwal-Okeng, Jasper, Obua, Celestino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583731/
https://www.ncbi.nlm.nih.gov/pubmed/26407973
http://dx.doi.org/10.1186/s40360-015-0027-8
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author Ocan, Moses
Manabe, Yukari C.
Baluku, Hannington
Atukwase, Esther
Ogwal-Okeng, Jasper
Obua, Celestino
author_facet Ocan, Moses
Manabe, Yukari C.
Baluku, Hannington
Atukwase, Esther
Ogwal-Okeng, Jasper
Obua, Celestino
author_sort Ocan, Moses
collection PubMed
description BACKGROUND: Human antibacterial exposure occur in different ways including consumption of animal and agricultural products as well as use of prescribed and non-prescribed agents. We estimated the prevalence and explored the predictors of antibacterial use among patients presenting to hospitals in northern Uganda. METHODS: Four hundred fifty (450) patients were randomly selected and antibacterial use prior to hospital visit measured using a questionnaire and urine antibacterial activity assay. Urine antibacterial bioassays were performed using American type culture collections of Escherichia coli, Bacillus subtilis and Streptococcus pyogenes. Data were analysed using STATA 12.0 at 95 % confidence level. RESULTS: Of 450 patients interviewed, 62.2 % had used antibacterial agents. Urine antibacterial activity was detected in 30.4 % of the samples tested. Of the 85 patients who reported not taking any antibacterial at home, 16 (18.8 %) had urine with antibacterial activity. Most test bacteria, E. coli (74.5 %), B. subtilis (72.6 %) and S. pyogens (86.7 %) were sensitive to urine of patients who reported using antibacterial drugs before hospital visit. From the interview, metronidazole 15.6 % (70/450), amoxicillin 12 % (54/450), and ciprofloxacin 10.4 % (47/450) were the most used antibacterial agents. Patient age (OR, 2.45: 95 % CI: 1.02–5.91: P = 0.024), time-lag between last drug intake and hospital visit (OR: 3.18: 95 % CI: 1.44–7.0: P < 0.0001), and time-lag between illness onset and hospital visit (OR: 1.89: 95 % CI: 0.38–5.1: P = 0.027) predicted the use of antibacterial agents before hospital visit. DISCUSSION: Community antibacterial use continues to take place in an unregulated manner. In addition, physiciansrarely seek to ascertain prior use of antibacterial agents among patients presenting to hospitals. This couldhave a bearing on patient treatment outcomes. CONCLUSION: Knowledge of prior antibacterial use among patients presenting to hospitals is useful to physicians in ensuring antibacterial stewardship.
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spelling pubmed-45837312015-09-27 Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda Ocan, Moses Manabe, Yukari C. Baluku, Hannington Atukwase, Esther Ogwal-Okeng, Jasper Obua, Celestino BMC Pharmacol Toxicol Research Article BACKGROUND: Human antibacterial exposure occur in different ways including consumption of animal and agricultural products as well as use of prescribed and non-prescribed agents. We estimated the prevalence and explored the predictors of antibacterial use among patients presenting to hospitals in northern Uganda. METHODS: Four hundred fifty (450) patients were randomly selected and antibacterial use prior to hospital visit measured using a questionnaire and urine antibacterial activity assay. Urine antibacterial bioassays were performed using American type culture collections of Escherichia coli, Bacillus subtilis and Streptococcus pyogenes. Data were analysed using STATA 12.0 at 95 % confidence level. RESULTS: Of 450 patients interviewed, 62.2 % had used antibacterial agents. Urine antibacterial activity was detected in 30.4 % of the samples tested. Of the 85 patients who reported not taking any antibacterial at home, 16 (18.8 %) had urine with antibacterial activity. Most test bacteria, E. coli (74.5 %), B. subtilis (72.6 %) and S. pyogens (86.7 %) were sensitive to urine of patients who reported using antibacterial drugs before hospital visit. From the interview, metronidazole 15.6 % (70/450), amoxicillin 12 % (54/450), and ciprofloxacin 10.4 % (47/450) were the most used antibacterial agents. Patient age (OR, 2.45: 95 % CI: 1.02–5.91: P = 0.024), time-lag between last drug intake and hospital visit (OR: 3.18: 95 % CI: 1.44–7.0: P < 0.0001), and time-lag between illness onset and hospital visit (OR: 1.89: 95 % CI: 0.38–5.1: P = 0.027) predicted the use of antibacterial agents before hospital visit. DISCUSSION: Community antibacterial use continues to take place in an unregulated manner. In addition, physiciansrarely seek to ascertain prior use of antibacterial agents among patients presenting to hospitals. This couldhave a bearing on patient treatment outcomes. CONCLUSION: Knowledge of prior antibacterial use among patients presenting to hospitals is useful to physicians in ensuring antibacterial stewardship. BioMed Central 2015-09-25 /pmc/articles/PMC4583731/ /pubmed/26407973 http://dx.doi.org/10.1186/s40360-015-0027-8 Text en © Ocan et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ocan, Moses
Manabe, Yukari C.
Baluku, Hannington
Atukwase, Esther
Ogwal-Okeng, Jasper
Obua, Celestino
Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda
title Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda
title_full Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda
title_fullStr Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda
title_full_unstemmed Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda
title_short Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda
title_sort prevalence and predictors of prior antibacterial use among patients presenting to hospitals in northern uganda
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583731/
https://www.ncbi.nlm.nih.gov/pubmed/26407973
http://dx.doi.org/10.1186/s40360-015-0027-8
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