Conference Abstract | Volume 9 (ConfPro8): Abstract 18 | Published:  05 Oct 2026

Trends and distribution of mental disorders due to alcohol use in Greater Accra Region, 2018–2024

Mavis Cecilia Coffie1,2,&, Charles Noora Lwanga2, Donne Ameme2, Delia Bandoh2, Samuel Oko Sackey2, Basil Benduri Kaburi2, Joseph Asamoah Frimpong2, Ernest Kenu2, Jonathan Avuyitor2, John Baffoe2, Blessing Uteh2, Faiza Alhassan2, Phyllis Flescher2, Nana Yaa Adobea Brown2, Kingsley Amoaku2, Theodora Lamptey2, Paul Ninyen2, Christopher Tamal3, David Duodu4, Henry Prosper Dade1, Genevive Kpobi1, Erasmus Osei1, Eyram Bless Akutsa5, Akorley Rebecca6, Gbledi Etornam7

1Nurses Training College, Pantang-Accra, Ghana, 2Ghana Field Epidemiology and Laboratory Training Programme, School of Public Health, University of Ghana, Accra, Ghana, 3World Health Organization, Ghana Country Office, Accra, Ghana, 4Pantang Hospital, Accra, Ghana, 5Akuse Government Hospital, Akuse, Ghana, 6Ministry of Health, Accra, Ghana, 7Greater Accra Regional Health Directorate, Accra, Ghana

&Corresponding author: Mavis Cecilia Coffie, Ghana Field Epidemiology and Laboratory Training Programme, School of Public Health, University of Ghana, Accra, Ghana; Pantang Nurses Training College, Email: macoffie247@gmail.com, ORCID: https://orcid.org/0009-0005-7736-1052

Received: 11 Mar 2026, Accepted: 28 Aug 2026, Published: 05 Oct 2026

Domain: Mental Health

This is part of the Proceedings of the 7th African Epidemiological Association and 1st Ghana Epidemiological Society Conference, 13 – 15 October, 2026

Keywords: Mental disorders due to alcohol use; DHIMS2; mental health surveillance; temporal trends; Greater Accra Region

©Mavis Cecilia Coffie et al. Journal of Interventional Epidemiology and Public Health (ISSN: 2664-2824). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article: Mavis Cecilia Coffie et al., Trends and distribution of mental disorders due to alcohol use in Greater Accra Region, 2018–2024. Journal of Interventional Epidemiology and Public Health. 2026;9(ConfPro8):18. https://doi.org/10.37432/JIEPH-CONFPRO8-0018

Introduction

Mental disorders due to alcohol use (MDAU) contribute to the burden of mental illness, particularly in urban populations. In Ghana, evidence on MDAU epidemiology at the subnational level remains limited. We analysed routine surveillance data to describe the burden, demographic characteristics, temporal trends, and geographic distribution of MDAU in Greater Accra Region.

Methods

We conducted a descriptive secondary analysis of District Health Information Management System version 2 (DHIMS2) surveillance data from January 2018 to December 2024 across 29 districts in Greater Accra. All reported MDAU cases classified under ICD-10 codes F10.0-F10.9 were included. Data were analysed using Microsoft Excel 365 and QGIS. Frequencies and proportions described age, sex, and district distributions. Annual and monthly trends were assessed, and a Holt–Winters additive trend model forecast cases for 2025-2029.

Results

Of 99,152 mental health cases reported, 3,762 (3.8%) were MDAU. Males accounted for 3,196 (85.0%) cases and females 566 (15.0%). Adults aged 35-49 years had the highest proportion (1,723; 45.8%), followed by those aged 20-34 years (1,054; 28.0%). The annual proportion fluctuated from 4.8% in 2018 to 3.2% in 2024, peaking at 5.3% in 2019. The highest district proportions were reported in Ayawaso Central (32.4%; 12/37) and Ga East (11.0%; 107/971). Forecasts projected an increase from approximately 694 cases in 2025 to 851 in 2029.

Conclusion

MDAU remains a persistent, unevenly distributed public health concern in Greater Accra, disproportionately affecting males and adults aged 35-49 years. Temporal fluctuations, geographic variation, and projected increases highlight the need to strengthen surveillance, case detection and reporting, and seasonally informed planning and targeted resource allocation.

 
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