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All Journal International Journal of Public Health Science (IJPHS)

Richard Okyere Boadu

University of Cape Coast

Author-ID : 2410711

Health Professions

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The Quality of Newborn Data: Assessment of Data Management and Reporting System Emmanuel Kusi Achampong; Godwin Adzakpah; Richard Okyere Boadu; Obed Owumbornyi Lasim
International Journal of Public Health Science (IJPHS) Vol 7, No 3: September 2018
Publisher : Intelektual Pustaka Media Utama

Data quality assurance through the district, regional and national health information systems is a sure way of having a meaningful interpretation, but this is a challenge in many developing countries. The purpose of this study was to determine the availability and data completeness of key newborn data indicators collected at the health facilities and to determine the use of newborn data for planning and decision-making at the Cape Coast metropolis. The study was a descriptive qualitative assessment. An in-depth interview was conducted in four hospitals within the Cape Coast Metropolis. There were unique best practices identified with some hospitals such as staff distribution and utilization in data collection and reporting, using data for decision making, and to define newborn indicators, data collections tools and the processes involved in data management and utilising supportive supervision from both the region and district levels. In order to sustain health information management, fundamental monitoring and evaluation issues, standardisation of monitoring and evaluation practices in data and information management must be addressed. In addition, investment should be made into the adoption of electronic medical records systems and tertiary training programs to support monitoring and evaluation activities in the hospital.

Data accuracy and completeness of monthly midwifery returns indicators of Ejisu Juaben Health Directorate of Ghana Richard Okyere Boadu; Peter Agyei-Baffour; Anthony Kwaku Edusei
International Journal of Public Health Science (IJPHS) Vol 8, No 1: March 2019
Publisher : Intelektual Pustaka Media Utama

The broad range of activities contained in the provision of Primary Health Care (PHC) places a burden on providers to make optimal use of limited resources to achieve maximal health benefit to the population served. All too often, ad hoc decisions and personal preferences guide PHC resource allocations, making accountability for results impossible. Problems constraining Routine Health Information System (RHIS) performance in low-income countries include: poor data quality; limited use of available information; weaknesses in how data are analyzed and poor RHIS management practices. This study sought to investigate these constraints. A non-experimental before and after study involving bassline assessment of data accuracy and completeness, application of innovative strategies such as mentoring and coaching of Health Information Officers in data quality improvement process. Coincidentally, the intervention improved both data accuracy and completeness performance significantly among the participating facilities. The outstanding performance may be attributed to management’s new orientation and growing interest towards quality data. Engaging frontline staff in data quality improvement work and provision of regular feedback leads to improvement in data accuracy and completeness. This has implications for decision-making and resource allocation, especially in low-income countries, where the routine health information management system relies heavily on paper work.

Co-Authors Anthony Kwaku Edusei Emmanuel Kusi Achampong Godwin Adzakpah Obed Owumbornyi Lasim Peter Agyei-Baffour

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