Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1783283051320573952 |
---|---|
author | Ward, Kirsten Mugenyi, Kevin Benke, Amalia Luzze, Henry Kyozira, Carol Immaculate, Ampeire Tanifum, Patricia Kisakye, Annet Bloland, Peter MacNeil, Adam |
author_facet | Ward, Kirsten Mugenyi, Kevin Benke, Amalia Luzze, Henry Kyozira, Carol Immaculate, Ampeire Tanifum, Patricia Kisakye, Annet Bloland, Peter MacNeil, Adam |
author_sort | Ward, Kirsten |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5711317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-57113172017-12-07 Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda Ward, Kirsten Mugenyi, Kevin Benke, Amalia Luzze, Henry Kyozira, Carol Immaculate, Ampeire Tanifum, Patricia Kisakye, Annet Bloland, Peter MacNeil, Adam Emerg Infect Dis Research 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. Centers for Disease Control and Prevention 2017-12 /pmc/articles/PMC5711317/ /pubmed/29155675 http://dx.doi.org/10.3201/eid2313.170627 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Ward, Kirsten Mugenyi, Kevin Benke, Amalia Luzze, Henry Kyozira, Carol Immaculate, Ampeire Tanifum, Patricia Kisakye, Annet Bloland, Peter MacNeil, Adam Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda |
title | Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda |
title_full | Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda |
title_fullStr | Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda |
title_full_unstemmed | Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda |
title_short | Enhancing Workforce Capacity to Improve Vaccination Data Quality, Uganda |
title_sort | enhancing workforce capacity to improve vaccination data quality, uganda |
topic | Research |
url | 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 |
work_keys_str_mv | AT wardkirsten enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT mugenyikevin enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT benkeamalia enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT luzzehenry enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT kyoziracarol enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT immaculateampeire enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT tanifumpatricia enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT kisakyeannet enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT blolandpeter enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda AT macneiladam enhancingworkforcecapacitytoimprovevaccinationdataqualityuganda |