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Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda

In Uganda, vaccine dose administration data are often not available or are of insufficient quality to optimally plan, monitor, and evaluate program performance. A collaboration of partners aimed to address these key issues by deploying data improvement teams (DITs) to improve data collection, manage...

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Detalles Bibliográficos
Autores principales: Ward, Kirsten, Mugenyi, Kevin, Benke, Amalia, Luzze, Henry, Kyozira, Carol, Immaculate, Ampeire, Tanifum, Patricia, Kisakye, Annet, Bloland, Peter, MacNeil, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711317/
https://www.ncbi.nlm.nih.gov/pubmed/29155675
http://dx.doi.org/10.3201/eid2313.170627
Descripción
Sumario:In Uganda, vaccine dose administration data are often not available or are of insufficient quality to optimally plan, monitor, and evaluate program performance. A collaboration of partners aimed to address these key issues by deploying data improvement teams (DITs) to improve data collection, management, analysis, and use in district health offices and health facilities. During November 2014–September 2016, DITs visited all districts and 89% of health facilities in Uganda. DITs identified gaps in awareness and processes, assessed accuracy of data, and provided on-the-job training to strengthen systems and improve healthcare workers’ knowledge and skills in data quality. Inaccurate data were observed primarily at the health facility level. Improvements in data management and collection practices were observed, although routine follow-up and accountability will be needed to sustain change. The DIT strategy offers a useful approach to enhancing the quality of health data.