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Newborn Health Data Transfer in the Cape Coast Metropolis, Ghana

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dc.contributor.author Acheampong, Emmanuel Kusi
dc.contributor.author Adzakpah, Godwin
dc.contributor.author Boadu, Richard O.
dc.contributor.author Lasim, Obed O.
dc.contributor.author Opoku, Richard
dc.date.accessioned 2023-10-05T12:17:40Z
dc.date.available 2023-10-05T12:17:40Z
dc.date.issued 2018-09-20
dc.identifier.issn 2394-9066
dc.identifier.issn 2394-9066
dc.identifier.uri http://hdl.handle.net/123456789/9067
dc.description.abstract Newborn data is important for decision making and planning purposes. Data transfer from facilities to district, regional and national levels must have high level of quality to benefit from its use for planning and decision making. The objective of this research was to assess the quality and accuracy of newborn health data transfer from facilities to the DHIMS II application. The study was conducted within the Cape Coast Metropolis. Four facilities (two public and two private hospitals) were selected for the study. Facilities registers were compared with summary sheets as well as the data in DHIMS II. The study revealed that there were data inaccuracies across all the indicators ranging from -46.5% to 89.3%. Percentage errors 1 and 3 were extremely high due to the inability of some facilities to produce aggregated forms. Percentage error 2 was generally low for all indicators as compared to percentage errors 1 and 3 except for institutional neonatal deaths with percentage error of 89.3%. The others range from -1.4% to 4.4% which means that there was very little error in transferring the facility register data to the web-based DHIMS-II. The overall percentage errors 1, 2 and 3 in transfer of the data were 7.5% (95% CI = 6.5% to 8.6%), 43.1% (95% CI = 41.8% to 44.3%) and 3.6% (95% CI = 3.2% to 4.0%) respectively. Newborn health data quality is essential for planning and decision making to enhance service quality. en_US
dc.language.iso en en_US
dc.publisher Journal of Information Sciences and Computing Technologies en_US
dc.subject Newborn en_US
dc.subject Health en_US
dc.subject Data en_US
dc.subject Quality en_US
dc.subject Accuracy en_US
dc.subject Completeness en_US
dc.subject Timeliness en_US
dc.subject DHIMS-II. en_US
dc.title Newborn Health Data Transfer in the Cape Coast Metropolis, Ghana en_US
dc.type Article en_US


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