Conference Abstract | Volume 9 (ConfProc7): Abstract 101 | Published:  07 Oct 2026

Staff commitment: A key factor for good data quality in Binduri District, Ghana, 2025

Iddrisu Akuka1,&, Awine Issaka1, Samuel Dapaa2, Akuka Yakubu3, Jennifer Nai Dowetin2, Magdalene Akos Odikro2, Ernest Kenu2
1Ghana Health Service, Binduri District, Upper East Region, Ghana, 2Ghana Field Epidemiology and Laboratory Training Programme (GFELTP), Accra, Ghana 3ActionAid Ghana, Upper East Region, Zebilla, Ghana

&Corresponding author: Iddrisu Akuka, Ghana Health Service, Binduri District, Upper East Region, Ghana,  Email: iddikuka3@gmail.com

Received: 29 Aug 2025, Accepted: 28 Oct 2025, Published: 07 Oct 2026

Domain: Health Management

This is part of the Proceedings of the 8th Ghana FELTP Scientific Conference and FELTP Competency Graduation, Accra, Ghana, 10 – 11 December, 2025

Keywords: Data Quality Audit, Surveillance, Information, Binduri, Ghana

©Iddrisu Akuka 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: Iddrisu Akuka et al. Staff commitment: A key factor for good data quality in Binduri District, 2025. Journal of Interventional Epidemiology and Public Health. 2026;9(ConfProc7):101.  https://doi.org/10.37432/JIEPH-CONFPRO7-00101

Introduction

About 40–60% of surveillance data in sub-Saharan Africa contain inaccuracies or omissions, delaying outbreak response by 10–14 days and resulting in misinformed decisions. This audit was conducted across three healthcare facilities in Binduri District to determine the strengths, weaknesses, opportunities and threats to surveillance data quality.

Methods

The audit was conducted in Binduri Health Center, The Glory Hospital, and Azimbe Hospital in February 2025. Nurses, laboratory officers, Disease Control Officers, Health Information Officers, Health Promotion Officers and Administrators were interviewed with structured questionnaires. Documents were reviewed and data analysed using a SWOT framework.

Results

Of 11 participants, 45.5% (5/11) were from Binduri Health Center and 36.3% (4/11) were nurses. Five strengths, six weaknesses, four opportunities, and five threats were identified across the facilities. Staff commitment and the availability of case definitions were strengths reported in all facilities. Poor teamwork was identified in 66.7% (2/3) of the facilities and the least weakness reported was poor referral system identified in 33.3% (1/3) of the facilities. The Glory Hospital reported the highest number of strengths (five), while Binduri Health Center recorded the most weaknesses (five). Poor road networks and weak communication systems were the most widely cited threats reported across all facilities.

Conclusion

While staff commitment enhances data quality, weak teamwork and limited communication undermine surveillance efficiency. Strengthened supervision, improved collaboration, and staff motivation from the district director of health service are essential to sustain data reliability.

 
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