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Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016

Analysis of existing health data is often used as a cost-effective and time-efficient means to provide evidence to inform important public health decisions. However, the accuracy of the resultant decisions largely depends on the quality of the accessible data, and how the data are processed, analyze...

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Autores principales: Kuonza, Lazarus Rugare, Nakale, Tuyakula, Sitao, Sinesia Lucinda Jose, Hall, Casey Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379546/
https://www.ncbi.nlm.nih.gov/pubmed/30858920
http://dx.doi.org/10.11604/pamj.supp.2018.30.1.15272
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author Kuonza, Lazarus Rugare
Nakale, Tuyakula
Sitao, Sinesia Lucinda Jose
Hall, Casey Daniel
author_facet Kuonza, Lazarus Rugare
Nakale, Tuyakula
Sitao, Sinesia Lucinda Jose
Hall, Casey Daniel
author_sort Kuonza, Lazarus Rugare
collection PubMed
description Analysis of existing health data is often used as a cost-effective and time-efficient means to provide evidence to inform important public health decisions. However, the accuracy of the resultant decisions largely depends on the quality of the accessible data, and how the data are processed, analyzed, interpreted and reported. This case study, based on an actual secondary data analysis that was conducted by a trainee of the South African Field Epidemiology Training Programme during April 2017, was designed to provide a classroom simulation of practical considerations that should be taken into account when planning an analysis of a secondary dataset. The case study is ideally suited to reinforce principles already covered in lectures or in background reading assignments.
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spelling pubmed-63795462019-03-11 Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016 Kuonza, Lazarus Rugare Nakale, Tuyakula Sitao, Sinesia Lucinda Jose Hall, Casey Daniel Pan Afr Med J Case Study Analysis of existing health data is often used as a cost-effective and time-efficient means to provide evidence to inform important public health decisions. However, the accuracy of the resultant decisions largely depends on the quality of the accessible data, and how the data are processed, analyzed, interpreted and reported. This case study, based on an actual secondary data analysis that was conducted by a trainee of the South African Field Epidemiology Training Programme during April 2017, was designed to provide a classroom simulation of practical considerations that should be taken into account when planning an analysis of a secondary dataset. The case study is ideally suited to reinforce principles already covered in lectures or in background reading assignments. The African Field Epidemiology Network 2018-05-18 /pmc/articles/PMC6379546/ /pubmed/30858920 http://dx.doi.org/10.11604/pamj.supp.2018.30.1.15272 Text en © Lazarus Rugare Kuonza et al. http://creativecommons.org/licenses/by/2.0/ The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Case Study
Kuonza, Lazarus Rugare
Nakale, Tuyakula
Sitao, Sinesia Lucinda Jose
Hall, Casey Daniel
Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016
title Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016
title_full Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016
title_fullStr Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016
title_full_unstemmed Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016
title_short Conducting a secondary data analysis to estimate the incidence of congenital syphilis in South Africa, 2010 - 2016
title_sort conducting a secondary data analysis to estimate the incidence of congenital syphilis in south africa, 2010 - 2016
topic Case Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379546/
https://www.ncbi.nlm.nih.gov/pubmed/30858920
http://dx.doi.org/10.11604/pamj.supp.2018.30.1.15272
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