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A Point Prevalence Survey of antibiotics use patterns at Tanga Regional Referral Hospital in Tanzania

Published online by Cambridge University Press:  20 October 2025

Aneth Wilbroad Mutatina
Affiliation:
Pharmaceutical Services Unit, Ministry of Health, Dodoma, Tanzania
Ernest Moses Lomnyak
Affiliation:
Department of Maritime Transport, Dar es Salaam Maritime Institute (DMI), Dar es Salaam, Tanzania
Thomas Bizimana
Affiliation:
East African Center of Excellence for Vaccines, Immunisation and Health Supply Chain Management, University of Rwanda, Kigali, Rwanda
Emiliana Nyafungo Francis
Affiliation:
Pharmaceutical Services Unit, Ministry of Health, Dodoma, Tanzania
Daudi Msasi
Affiliation:
Pharmaceutical Services Unit, Ministry of Health, Dodoma, Tanzania
Zalha Elsalmy Nuhu
Affiliation:
Tanga Regional Referral Hospital, Tanga, Tanzania
Emmanuel Magembe
Affiliation:
National Public Health Laboratory, Dar es Salaam, Tanzania
Raphael Zozimus Sangeda*
Affiliation:
Department of Pharmaceutical Microbiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
*
Corresponding author: Raphael Zozimus Sangeda; Email: sangeda@gmail.com

Abstract

Objective:

Antimicrobial resistance (AMR) is a major global health threat, driven in part by inappropriate antibiotic use. This study assessed the prevalence, patterns, and determinants of antibiotic prescription among inpatients at Tanga Regional Referral Hospital (RRH), Tanzania, using the World Health Organization (WHO) Point Prevalence Survey (PPS) methodology.

Design:

A cross-sectional PPS was conducted using the WHO tool. Descriptive statistics summarized prescribing patterns, and logistic regression identified factors associated with antibiotic use.

Setting:

Tanga RRH in Tanzania among hospitalized patients in April 2023.

Results:

Among 205 inpatients (60.5% female), 77.6% (n = 159) received ≥1 antibiotic, with a mean of 2.1 agents per patient. Metronidazole (27.7%) and ceftriaxone (17.6%) were the most frequently prescribed antibiotics. Only 2.4% of prescriptions were supported by antimicrobial susceptibility testing. In multivariate analysis, the absence of a peripheral vascular catheter was independently associated with reduced odds of antibiotic use (aOR 0.16, 95% CI: 0.06–0.43). Although 89% of prescriptions followed the Tanzanian Standard Treatment Guidelines, prescribing patterns diverged from WHO stewardship targets: only 53.8% of antibiotics were from the Access group (below the ≥60% recommended threshold). In comparison, 44.4% belonged to the broader-spectrum Watch group.

Conclusion:

Antibiotic use in Tanga RRH was high, with limited microbiological guidance and heavy reliance on broad-spectrum Watch antibiotics, highlighting stewardship gaps. Strengthening antimicrobial stewardship and expanding diagnostic capacity are urgently needed to optimize antibiotic use and curb AMR in resource-limited settings.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Demographic and clinical characteristics of hospitalized patients at Tanga Regional Referral Hospital (n = 205), stratified by antibiotic use status

Figure 1

Table 2. Percentage and cumulative distribution of individual antibiotic use (n = 329 encounters) at Tanga Regional Referral Hospital, Tanzania

Figure 2

Table 3. Distribution of prescribed antibiotics by WHO AWaRe classification and pharmacological class (n = 329 encounters) at Tanga regional referral hospital, Tanzania

Figure 3

Table 4. Factors associated with antibiotic use among hospitalized patients at Tanga regional referral hospital, Tanzania (univariate and multivariate logistic regression, n = 205)