Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2025 Mar 25;20(3):e0319986.
doi: 10.1371/journal.pone.0319986. eCollection 2025.

Seroprevalence and risk factors of hepatitis B virus infection among healthcare workers in Africa: A systematic review and meta-analysis

Affiliations
Meta-Analysis

Seroprevalence and risk factors of hepatitis B virus infection among healthcare workers in Africa: A systematic review and meta-analysis

Leykun Berhanu et al. PLoS One. .

Abstract

Background: Healthcare workers are at an increased risk of hepatitis B virus infection due to potential exposure to blood and other infectious materials. The infection can lead to acute liver disease and chronic liver complications such as cirrhosis and liver cancer. It can impact workforce health, leading to absenteeism, and increased healthcare costs. Hence, this study aimed to determine the seroprevalence and risk factors of the hepatitis B virus among healthcare workers in Africa.

Materials and methods: The protocol for this systematic review and meta-analysis was registered on PROSPERO with the registration number CRD42024556654. Literatures were searched from PubMed, Science Direct, HINARI, African Online Journal, Google Scholar, Google, Semantic Scholar, and Directory of Open Access Journals using relevant search terms. The process of searching relevant articles was completed on 1 August 2024. Studies with a quality evaluation indicator score of 50% or above were included in this study. The random effect model was used to measure the pooled seroprevalence and associated factors of hepatitis B virus infection among healthcare workers in Africa. The finding of the meta-analysis was presented using forest plots with a 95% confidence interval.

Result: Among 26 studies selected for meta-analysis, 6983 participants were included. The inclusion of 26 studies showed that the pooled prevalence of hepatitis B virus infection among healthcare workers was 17.2% (95% CI: 8.36, 26.04). Healthcare workers diagnosed with liver disease were 5.01 times more likely to having hepatitis B virus infection compared to those who were not diagnosed (POR = 5.01: 95% CI; 2.25,7.77). In addition, healthcare workers who did not receive technical training were 2.70 times more likely to having HBV infection than those who received training (POR = 2.70:95% CI; 1.10, 4.30). Furthermore, healthcare workers aged 40 years and above were 2.53 times more likely to having hepatitis B virus infection than young healthcare workers (POR = 2.53: 95% CI; 1.29,3.77).

Conclusion: The pooled prevalence of hepatitis B virus infection was high. Previously diagnosed liver diseases, the absence of technical training, and the age of healthcare workers were the factors influencing the pooled prevalence of HBV infection among healthcare workers. Hence, providing appropriate medical follow-up for healthcare workers diagnosed with liver disease, comprehensive training and education, and early detection and diagnosis of healthcare workers aged 40 years and above are the most important interventions to prevent the risk of hepatitis B virus infection.

PubMed Disclaimer

Conflict of interest statement

The authors have no competing of interests.

Figures

Fig 1
Fig 1. PRISMA flow diagram showing the selection of studies for systematic review and meta-analysis on the seroprevalence and risk factors of HBV among HCWs in Africa, 2024.
Fig 2
Fig 2. Pooled seroprevalence of HBV among HCWs in Africa, 2024.
Fig 3
Fig 3. Funnel plots showing the presence of publication bias among the included studies, 2024.
Fig 4
Fig 4. The funnel plot of a simulated meta-analysis after including eleven hypothetical studies to control the publication bias observed in this systematic review and meta-analysis study, 2024.
Fig 5
Fig 5. Sensitivity analysis result of the included studies, 2024.
Fig 6
Fig 6. Subgroup analysis result based on geographic location, 2024.
Fig 7
Fig 7. Subgroup analysis result based on sample size category, 2024.
Fig 8
Fig 8. Subgroup analysis result based on HBV detection method, 2024.
Fig 9
Fig 9. Subgroup analysis result based on type of health facility, 2024.

References

    1. Abate D, Tolera A, Hawulte B, Tesfa T, Geleto A. Sero-Prevalence of HBV and its associated factors among healthcare providers in public health facilities in Eastern Ethiopia. Infect Dis (Auckl). 2022;15:11786337211062622. doi: 10.1177/11786337211062622 - DOI - PMC - PubMed
    1. Bhattarai S, K C S, Pradhan PMS, Lama S, Rijal S. Hepatitis B vaccination status and needle-stick and sharps-related Injuries among medical school students in Nepal: a cross-sectional study. BMC Res Notes. 2014;7:774. doi: 10.1186/1756-0500-7-774 - DOI - PMC - PubMed
    1. Bigna JJ, Amougou MA, Asangbeh SL, Kenne AM, Noumegni SRN, Ngo-Malabo ET, et al.. Seroprevalence of hepatitis B virus infection in Cameroon: a systematic review and meta-analysis. BMJ Open. 2017;7(6):e015298. doi: 10.1136/bmjopen-2016-015298 - DOI - PMC - PubMed
    1. El Khoury AC, Wallace C, Klimack WK, Razavi H. Economic burden of hepatitis C-associated diseases: Europe, Asia Pacific, and the Americas. J Med Econ. 2012;15(5):887–96. doi: 10.3111/13696998.2012.681332 - DOI - PubMed
    1. WHO. Global hepatitis report: Action for access in low- and middle-income countries. 2024. [cited 2024 July 29]. Available from: Global hepatitis report 2024: action for access in low- and middle-incom...