Evidence mapPaperPMID 42598285Full record

ArticleFrontiers in antibiotics2026

Drivers influencing antibiotics use in pediatric wards across five public hospitals in Zanzibar: a WHO multiple point prevalence survey.

Faiza Mohamed Juma, Abrahaman Said Msellem, Stanley Mwita, Muhiddin Omar, Khadija Omar, Daniel Joshua, Ahlam Amour, Hafidh Hassan, Salma Hashoul, Muhiddin A Mahmoud and 10 more

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Article in Frontiers in antibiotics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

20 authors.

Faiza Mohamed JumaDepartment of Epidemiology and Biostatistics, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Abrahaman Said MsellemDepartment of Epidemiology and Biostatistics, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Stanley MwitaDepartment of Pharmaceutics and Pharmacy Practice - School of Pharmacy. Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Muhiddin OmarMinistry of Health, Zanzibar, Tanzania.
Khadija OmarZanzibar Agriculture and Livestock Research Institute (ZALIRI), Zanzibar, Tanzania.
Daniel JoshuaMinistry of Health, Zanzibar, Tanzania.
Ahlam AmourPediatric Department, Mnazi Mmoja Hospital, Zanzibar, Tanzania.
Hafidh HassanPediatric Department, Mnazi Mmoja Hospital, Zanzibar, Tanzania.
Salma HashoulPediatric Department, Mnazi Mmoja Hospital, Zanzibar, Tanzania.
Muhiddin A MahmoudPediatric Department, Mnazi Mmoja Hospital, Zanzibar, Tanzania.
Simon KühnertHealth Improvement Project Zanzibar (HIPZ), Zanzibar, Tanzania.
Mayassa Salum AllyZanzibar Health Research Institute (ZAHRI), Zanzibar, Tanzania.
Ali SaidPublic Health Laboratory Ivo de Carneri (PHL-IdC), Pemba, Tanzania.
Jyoti JoshiInternational Center for Antimicrobial Resistance Solution (ICARS), Copenhagen, Denmark.
Fabian MazaInternational Center for Antimicrobial Resistance Solution (ICARS), Copenhagen, Denmark.
Brecht IngelbeenInternational Center for Antimicrobial Resistance Solution (ICARS), Copenhagen, Denmark.
Eveline Thobias KonjeDepartment of Epidemiology and Biostatistics, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Anja PoulsenGlobal Health Unit, Department of Paediatrics and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Stine LundGlobal Health Unit, Department of Paediatrics and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Jeremiah SeniDepartment of Microbiology and Immunology - Weill-Bugando School of Medicine, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Strengthening antimicrobial stewardship (AMS) programs is a major public health strategy to reduce inappropriate antibiotic use (AMU) and averting antibiotic resistance (AMR). Evidence on AMU and AMS program implementation is widely documented in Tanzania mainland, consistent with previous studies done and other low-and middle-income countries. However, there is limited information on AMU and AMS programs to guide the implementation of the Zanzibar Action Plan on AMR. The objective of this study was to determine the prevalence of AMU, identify factors associated with AMU, and to assess the performance of AMS programs in pediatric wards across hospitals in Zanzibar. Methods: This repeated cross-sectional study employed the World Health Organization Point Prevalence Survey (WHO-PPS) tool at two time points (February to April 2024 and December 2024 to May 2025), complemented by a one-time WHO-Health Care Facility Core Element Indicators Tool conducted in April 2024 to assess AMS performance. The WHO-PPS study population was children ≤13 years admitted to pediatric wards in five public hospitals in Zanzibar. Healthcare providers and AMS team members reported on Core Element Indicators. The WHO-PPS data were analyzed using descriptive statistics and multivariate modified Poisson regression, while AMS performance was computed as percentage scores per hospital. Results: Of 943 paediatric patients, 826 (87.6%) received at least one antibiotic. Gentamicin, ampicillin, and ceftriaxone were the most commonly prescribed antibiotics. Watch-category antibiotics accounted for the majority of prescriptions (53.8%), followed by Access (45.8%) and Reserve (0.4%). Community-acquired infections were the predominant indication for antibiotic use, 60.4%, with pneumonia and sepsis being the most common diagnoses. Bacteriological culture testing was performed in only 10.9% of patients, while adherence to national treatment guidelines was 77.8%. Significant predictors of AMU included hospital tier (regional: aPR 1.39, 95%CI 1.30-1.50; and district level: aPR 1.35, 95%CI 1.26-1.46); and higher disease severity shown by ultimately fatal McCabe score, aPR 1.20, 95%CI: 1.07-1.33). The AMS program performance was below the 50% functionality threshold, with low scores observed in leadership, accountability, monitoring and surveillance, and reporting and feedback, alongside limited progress in the establishment of DTC/IPC/AMC committees and implementation of AMS actions. Conclusions: Antibiotic use among admitted children was markedly prevalent, notably by the Watch category of antibiotics, and limited reliance on bacteriological culture and suboptimal AMS program performance across hospitals in Zanzibar. These findings highlight important opportunities to strengthen AMS programs and diagnostic practices. Future research should evaluate the appropriateness of antibiotic prescribing and explore barriers to effective AMS implementation across hospitals in Zanzibar.

Indexed as

antibioticsantimicrobial stewardshippediatricWHO-PPSZanzibar

Identifiers

PMID42598285
PMCPMC13470639

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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 Socratic graph.