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Choropleth Mapping of Cervical Cancer Screening in South Africa Using Healthcare Facility-level Data from the National Laboratory Network
BACKGROUND: In South Africa, cervical cancer remains among the most common cancers and a leading cause of cancer death. Co-infection with HIV increases the risk of developing cervical pre-cancer and cancer. We analysed National Health Laboratory Service cervical cytology data to investigate geograph...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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AIMS Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690409/ https://www.ncbi.nlm.nih.gov/pubmed/29546199 http://dx.doi.org/10.3934/publichealth.2016.4.849 |
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author | Makura, Caroline B T Schnippel, Kathryn Michelow, Pamela Chibwesha, Carla J. Goeieman, Bridgette Jordaan, Suzette Firnhaber, Cynthia |
author_facet | Makura, Caroline B T Schnippel, Kathryn Michelow, Pamela Chibwesha, Carla J. Goeieman, Bridgette Jordaan, Suzette Firnhaber, Cynthia |
author_sort | Makura, Caroline B T |
collection | PubMed |
description | BACKGROUND: In South Africa, cervical cancer remains among the most common cancers and a leading cause of cancer death. Co-infection with HIV increases the risk of developing cervical pre-cancer and cancer. We analysed National Health Laboratory Service cervical cytology data to investigate geographic variations of Pap smear coverage, quality, and high grade lesions. METHODS: Facility-level data were extracted from the NHLS for April 2013–March 2014. We present results and choropleth maps detailing coverage, adequacy and high-grade Pap smear cytology abnormalities defined as Pap smears suspicious for invasive carcinoma, high-grade squamous intraepithelial lesions (HSIL) or atypical squamous cells: cannot exclude HSIL (ASC-H). RESULTS: 4,562 facilities submitted 791,067 cytology slides. The interquartile range (IQR) for Pap smear coverage among HIV-infected women was 26–41%; similar to coverage in women aged 30 and older (IQR: 26–42%). 6/52 districts had adequacy rates above the national standard (70%) and 2/52 districts had adequacy rates below 35%. We observed marked variation in Pap smear abnormalities across the country, with the proportion of high-grade cytology abnormalities ≥0.3% in 17/52 districts. CONCLUSION: Using district-level choropleth maps, we are able to display variations in Pap smear coverage, quality, and results across South Africa. This approach may be used to improve resource allocation, achieving better equity in cervical cancer prevention. |
format | Online Article Text |
id | pubmed-5690409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | AIMS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56904092018-03-15 Choropleth Mapping of Cervical Cancer Screening in South Africa Using Healthcare Facility-level Data from the National Laboratory Network Makura, Caroline B T Schnippel, Kathryn Michelow, Pamela Chibwesha, Carla J. Goeieman, Bridgette Jordaan, Suzette Firnhaber, Cynthia AIMS Public Health Research Article BACKGROUND: In South Africa, cervical cancer remains among the most common cancers and a leading cause of cancer death. Co-infection with HIV increases the risk of developing cervical pre-cancer and cancer. We analysed National Health Laboratory Service cervical cytology data to investigate geographic variations of Pap smear coverage, quality, and high grade lesions. METHODS: Facility-level data were extracted from the NHLS for April 2013–March 2014. We present results and choropleth maps detailing coverage, adequacy and high-grade Pap smear cytology abnormalities defined as Pap smears suspicious for invasive carcinoma, high-grade squamous intraepithelial lesions (HSIL) or atypical squamous cells: cannot exclude HSIL (ASC-H). RESULTS: 4,562 facilities submitted 791,067 cytology slides. The interquartile range (IQR) for Pap smear coverage among HIV-infected women was 26–41%; similar to coverage in women aged 30 and older (IQR: 26–42%). 6/52 districts had adequacy rates above the national standard (70%) and 2/52 districts had adequacy rates below 35%. We observed marked variation in Pap smear abnormalities across the country, with the proportion of high-grade cytology abnormalities ≥0.3% in 17/52 districts. CONCLUSION: Using district-level choropleth maps, we are able to display variations in Pap smear coverage, quality, and results across South Africa. This approach may be used to improve resource allocation, achieving better equity in cervical cancer prevention. AIMS Press 2016-10-19 /pmc/articles/PMC5690409/ /pubmed/29546199 http://dx.doi.org/10.3934/publichealth.2016.4.849 Text en © 2016 Caroline B T Makura, et al., licensee AIMS Press This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) |
spellingShingle | Research Article Makura, Caroline B T Schnippel, Kathryn Michelow, Pamela Chibwesha, Carla J. Goeieman, Bridgette Jordaan, Suzette Firnhaber, Cynthia Choropleth Mapping of Cervical Cancer Screening in South Africa Using Healthcare Facility-level Data from the National Laboratory Network |
title | Choropleth Mapping of Cervical Cancer Screening in South Africa Using Healthcare Facility-level Data from the National Laboratory Network |
title_full | Choropleth Mapping of Cervical Cancer Screening in South Africa Using Healthcare Facility-level Data from the National Laboratory Network |
title_fullStr | Choropleth Mapping of Cervical Cancer Screening in South Africa Using Healthcare Facility-level Data from the National Laboratory Network |
title_full_unstemmed | Choropleth Mapping of Cervical Cancer Screening in South Africa Using Healthcare Facility-level Data from the National Laboratory Network |
title_short | Choropleth Mapping of Cervical Cancer Screening in South Africa Using Healthcare Facility-level Data from the National Laboratory Network |
title_sort | choropleth mapping of cervical cancer screening in south africa using healthcare facility-level data from the national laboratory network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690409/ https://www.ncbi.nlm.nih.gov/pubmed/29546199 http://dx.doi.org/10.3934/publichealth.2016.4.849 |
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