Cargando…
Quality of age data in the Sierra Leone Ebola database
INTRODUCTION: While it is suspected that some ages were misreported during the 2014-2016 West African Ebola outbreak, an analysis examining age data quality has not been conducted. The study objective was to examine age heaping and terminal digit preference as indicators for quality of age data coll...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321682/ https://www.ncbi.nlm.nih.gov/pubmed/32637002 http://dx.doi.org/10.11604/pamj.2020.35.104.20348 |
_version_ | 1783551524670013440 |
---|---|
author | Womack, Lindsay Shively Alpren, Charles Martineau, Frederick Jambai, Amara Singh, Tushar Kaiser, Reinhard Redd, John Terrell |
author_facet | Womack, Lindsay Shively Alpren, Charles Martineau, Frederick Jambai, Amara Singh, Tushar Kaiser, Reinhard Redd, John Terrell |
author_sort | Womack, Lindsay Shively |
collection | PubMed |
description | INTRODUCTION: While it is suspected that some ages were misreported during the 2014-2016 West African Ebola outbreak, an analysis examining age data quality has not been conducted. The study objective was to examine age heaping and terminal digit preference as indicators for quality of age data collected in the Sierra Leone Ebola Database (SLED). METHODS: Age data quality for adult patients was analyzed within SLED for the Viral Hemorrhagic Fever (VHF) database and the laboratory testing dataset by calculating Whipple´s index and Myers´s blended index, stratified by sex and region. RESULTS: Age data quality was low in both the VHF database (Whipple´s index for the 5-year range, 229.2) and the laboratory testing dataset (Whipple´s index for the 5-year range, 236.4). Age was reported more accurately in the Western Area and least accurately in the Eastern Province. Age data for females were less accurate than for males. CONCLUSION: Age data quality was low in adult patients during the 2014-2016 Ebola outbreak in Sierra Leone, which may reduce its use as an identifying or stratifying variable. These findings inform future analyses using this database and describe a phenomenon that has relevance in data collection methods and analyses for future outbreaks in developing countries. |
format | Online Article Text |
id | pubmed-7321682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The African Field Epidemiology Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-73216822020-07-06 Quality of age data in the Sierra Leone Ebola database Womack, Lindsay Shively Alpren, Charles Martineau, Frederick Jambai, Amara Singh, Tushar Kaiser, Reinhard Redd, John Terrell Pan Afr Med J Research INTRODUCTION: While it is suspected that some ages were misreported during the 2014-2016 West African Ebola outbreak, an analysis examining age data quality has not been conducted. The study objective was to examine age heaping and terminal digit preference as indicators for quality of age data collected in the Sierra Leone Ebola Database (SLED). METHODS: Age data quality for adult patients was analyzed within SLED for the Viral Hemorrhagic Fever (VHF) database and the laboratory testing dataset by calculating Whipple´s index and Myers´s blended index, stratified by sex and region. RESULTS: Age data quality was low in both the VHF database (Whipple´s index for the 5-year range, 229.2) and the laboratory testing dataset (Whipple´s index for the 5-year range, 236.4). Age was reported more accurately in the Western Area and least accurately in the Eastern Province. Age data for females were less accurate than for males. CONCLUSION: Age data quality was low in adult patients during the 2014-2016 Ebola outbreak in Sierra Leone, which may reduce its use as an identifying or stratifying variable. These findings inform future analyses using this database and describe a phenomenon that has relevance in data collection methods and analyses for future outbreaks in developing countries. The African Field Epidemiology Network 2020-04-07 /pmc/articles/PMC7321682/ /pubmed/32637002 http://dx.doi.org/10.11604/pamj.2020.35.104.20348 Text en © Lindsay Shively Womack 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 | Research Womack, Lindsay Shively Alpren, Charles Martineau, Frederick Jambai, Amara Singh, Tushar Kaiser, Reinhard Redd, John Terrell Quality of age data in the Sierra Leone Ebola database |
title | Quality of age data in the Sierra Leone Ebola database |
title_full | Quality of age data in the Sierra Leone Ebola database |
title_fullStr | Quality of age data in the Sierra Leone Ebola database |
title_full_unstemmed | Quality of age data in the Sierra Leone Ebola database |
title_short | Quality of age data in the Sierra Leone Ebola database |
title_sort | quality of age data in the sierra leone ebola database |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321682/ https://www.ncbi.nlm.nih.gov/pubmed/32637002 http://dx.doi.org/10.11604/pamj.2020.35.104.20348 |
work_keys_str_mv | AT womacklindsayshively qualityofagedatainthesierraleoneeboladatabase AT alprencharles qualityofagedatainthesierraleoneeboladatabase AT martineaufrederick qualityofagedatainthesierraleoneeboladatabase AT jambaiamara qualityofagedatainthesierraleoneeboladatabase AT singhtushar qualityofagedatainthesierraleoneeboladatabase AT kaiserreinhard qualityofagedatainthesierraleoneeboladatabase AT reddjohnterrell qualityofagedatainthesierraleoneeboladatabase |