There is Need for more accurate data in Ugandan Public Hospital

Data: This refers to raw observations or acts and statistics collected together for reference or analysis.
well as Data Quality: Data are of high quality if, “they are fit for their intended uses in operations, decision making and planning.” . Alternatively, data are deemed of high quality if they correctly represent the real-world construct to which they refer.

The following the factors affecting Data Quality in Uganda public hospitals.

Poor records documentation affects data quality in health units . Documentation will justify the patient’s admission status, continued stay, and any therapies,treatments or procedures that are provided. Documentation must be specific and timely in support of accurate claims reporting, appropriate reimbursement. Inaccurate reporting of data has negative implications to the patient as well as to provider report cards and overall accountable care scores which relate directly to reimbursement.

Government policies also greatly impact on data quality: In the report by the Uganda Ministry of Health;
Assessment of the Health Information System in Uganda (MOH, 2007), the key findings and
recommendations were on all the six main components of HIS development, namely: HIS
resources, core health indicators, data sources, information management, information products or
data availability, dissemination and use. Though core health indicators were found to be well
defined and comprehensively captured through both routine facility-based and population-based
data sources, there were severe inadequacies identified in terms of capacity (skill and
infrastructure), resources to support data capturing and management, availability and appropriate
disaggregation, dissemination and utilization. Lower administrative levels chronically lack
adequate capacities to capture data on vital events such as births and deaths that occur in their
communities, and yet this is key information for bottom-up planning. In most districts, the
challenges of harmonization and streamlining data sources still constrain provision of quality
data for planning, implementation and performance evaluation. Investment in infrastructure, such
as ICT will facilitate improvement in data flow and management through internet connectivity

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