An Assessment of the Quality of Data From the EPI for Knowledge Management in Healthcare in Ghana

An Assessment of the Quality of Data From the EPI for Knowledge Management in Healthcare in Ghana

Patrick Ohemeng Gyaase, Joseph Tei Boye-Doe, Christiana Okantey
Copyright: © 2021 |Pages: 22
DOI: 10.4018/978-1-7998-6792-0.ch011
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Abstract

Quality data from the Expanded Immunization Programme (EPI), which is pivotal in reducing infant mortalities globally, is critical for knowledge management on the EPI. This chapter assesses the quality of data from the EPI for the six childhood killer diseases from the EPI tally books, monthly reports, and the District Health Information Management System (DHIMS II) using the Data Quality Self-Assessment (DQS) tool of WHO. The study found high availability and completeness of data in the EPI tally books and the monthly EPI reports. The accuracy and currency of data on all antigens from EPI tally books compared to reported number issued were comparatively low. The composite quality index of the data from the EPI is thus low, an indication poor supervision of the EPI programme in the health facilities. There is therefore, the need for effective monitoring and data validation at the point of collection and entry to improve the data quality for knowledge management on the EPI programme.
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Problem Statement

Data quality plays a fundamental role in the success of an immunization with the Global Vaccine Action Plan (GVAP) identifying poor data quality as a major hindrance to reaching the Decade of Vaccines mission towards strengthening immunization systems programme (Wetherill, Lee, & Dietz, 2017).

Countries receiving support from Global Alliance for Vaccines and Immunization (GAVI) are required to develop an Immunisation Data Improvement Plan. This periodic plan should include a root cause analysis of unavailability and poor quality of data so as to define actionable recommendations to increase data availability, data quality, and usage (GAVI, 2019).

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