FACTORS ASSOCIATED WITH DATA QUALITY IN THE DISTRICT HEALTH MANAGEMENT INFORMATION SYSTEM II (DHIMS 2) IN THE MION DISTRICT OF NORTHERN REGION OF GHANA

Abstract

Enhancing the efficacy and efficiency of healthcare services requires a well-designed health information management system that ensures high-quality data collection and generation. Despite efforts, data quality in Ghana, including the Mion district, remains poor and inadequate, hindering its use in program decisions. The Mion district still faces significant barriers, particularly in primary healthcare. This study aimed to identify the factors and challenges associated with the District Health Management Information System II (DHIMS 2) data quality in the Mion district of Northern Ghana. Using a descriptive cross-sectional design, the research incorporated quantitative and qualitative data collection methods, including questionnaires and in-depth interviews, and analyzed the data using SPSS. Key findings include data completeness rates of 99.9%, 97.1%, and 100% for 2020, 2021, and 2022, respectively, and timeliness rates of 91.5%, 95.3%, and 99% for the same years. Significant associations were found between data quality and factors such as knowledge of DHIMS 2, proper supervision, training, and management support. Challenges identified include internet connectivity issues, lack of comprehensive training, the burden of data validation, and inadequate support from district officers. These findings underscore the importance of continuous training, effective supervision, and robust management support to enhance data quality in the Mion district.