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Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment
BACKGROUND: In the absence of clinical trials, data on the safety of medicine exposures in pregnancy are dependent on observational studies conducted after the agent has been licensed for use. This requires an accurate history of antenatal medicine use to determine potential risks. Medication use is...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164333/ https://www.ncbi.nlm.nih.gov/pubmed/35658841 http://dx.doi.org/10.1186/s12884-022-04765-1 |
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author | van der Hoven, Jani Allen, Elizabeth Cois, Annibale de Waal, Renee Maartens, Gary Myer, Landon Malaba, Thokozile Madlala, Hlengiwe Nyemba, Dorothy Phelanyane, Florence Boulle, Andrew Mehta, Ushma Kalk, Emma |
author_facet | van der Hoven, Jani Allen, Elizabeth Cois, Annibale de Waal, Renee Maartens, Gary Myer, Landon Malaba, Thokozile Madlala, Hlengiwe Nyemba, Dorothy Phelanyane, Florence Boulle, Andrew Mehta, Ushma Kalk, Emma |
author_sort | van der Hoven, Jani |
collection | PubMed |
description | BACKGROUND: In the absence of clinical trials, data on the safety of medicine exposures in pregnancy are dependent on observational studies conducted after the agent has been licensed for use. This requires an accurate history of antenatal medicine use to determine potential risks. Medication use is commonly determined by self-report, clinician records, and electronic pharmacy data; different data sources may be more informative for different types of medication and resources may differ by setting. We compared three methods to determine antenatal medicine use (self-report, clinician records and electronic pharmacy dispensing records [EDR]) in women attending antenatal care at a primary care facility in Cape Town, South Africa in a setting with high HIV prevalence. METHODS: Structured, interview-administered questionnaires recorded self-reported medicine use. Data were collected from clinician records and EDR on the same participants. We determined agreement between these data sources using Cohen’s kappa and, lacking a gold standard, used Latent Class Analysis to estimate sensitivity, specificity and positive predictive value (PPV) for each data source. RESULTS: Between 55% and 89% of 967 women had any medicine use documented depending on the data source (median number of medicines/participant = 5 [IQR 3–6]). Agreement between the datasets was poor regardless of class except for antiretroviral therapy (ART; kappa 0.6–0.71). Overall, agreement was better between the EDR and self-report than with either dataset and the clinician records. Sensitivity and PPV were higher for self-report and the EDR and were similar for the two. Self-report was the best source for over-the-counter, traditional and complementary medicines; clinician records for vaccines and supplements; and EDR for chronic medicines. CONCLUSIONS: Medicine use in pregnancy was common and no single data source included all the medicines used. ART was the most consistently reported across all three datasets but otherwise agreement between them was poor and dependent on class. Using a single data collection method will under-estimate medicine use in pregnancy and the choice of data source should be guided by the class of the agents being investigated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04765-1. |
format | Online Article Text |
id | pubmed-9164333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91643332022-06-05 Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment van der Hoven, Jani Allen, Elizabeth Cois, Annibale de Waal, Renee Maartens, Gary Myer, Landon Malaba, Thokozile Madlala, Hlengiwe Nyemba, Dorothy Phelanyane, Florence Boulle, Andrew Mehta, Ushma Kalk, Emma BMC Pregnancy Childbirth Research Article BACKGROUND: In the absence of clinical trials, data on the safety of medicine exposures in pregnancy are dependent on observational studies conducted after the agent has been licensed for use. This requires an accurate history of antenatal medicine use to determine potential risks. Medication use is commonly determined by self-report, clinician records, and electronic pharmacy data; different data sources may be more informative for different types of medication and resources may differ by setting. We compared three methods to determine antenatal medicine use (self-report, clinician records and electronic pharmacy dispensing records [EDR]) in women attending antenatal care at a primary care facility in Cape Town, South Africa in a setting with high HIV prevalence. METHODS: Structured, interview-administered questionnaires recorded self-reported medicine use. Data were collected from clinician records and EDR on the same participants. We determined agreement between these data sources using Cohen’s kappa and, lacking a gold standard, used Latent Class Analysis to estimate sensitivity, specificity and positive predictive value (PPV) for each data source. RESULTS: Between 55% and 89% of 967 women had any medicine use documented depending on the data source (median number of medicines/participant = 5 [IQR 3–6]). Agreement between the datasets was poor regardless of class except for antiretroviral therapy (ART; kappa 0.6–0.71). Overall, agreement was better between the EDR and self-report than with either dataset and the clinician records. Sensitivity and PPV were higher for self-report and the EDR and were similar for the two. Self-report was the best source for over-the-counter, traditional and complementary medicines; clinician records for vaccines and supplements; and EDR for chronic medicines. CONCLUSIONS: Medicine use in pregnancy was common and no single data source included all the medicines used. ART was the most consistently reported across all three datasets but otherwise agreement between them was poor and dependent on class. Using a single data collection method will under-estimate medicine use in pregnancy and the choice of data source should be guided by the class of the agents being investigated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04765-1. BioMed Central 2022-06-03 /pmc/articles/PMC9164333/ /pubmed/35658841 http://dx.doi.org/10.1186/s12884-022-04765-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article van der Hoven, Jani Allen, Elizabeth Cois, Annibale de Waal, Renee Maartens, Gary Myer, Landon Malaba, Thokozile Madlala, Hlengiwe Nyemba, Dorothy Phelanyane, Florence Boulle, Andrew Mehta, Ushma Kalk, Emma Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment |
title | Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment |
title_full | Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment |
title_fullStr | Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment |
title_full_unstemmed | Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment |
title_short | Determining antenatal medicine exposures in South African women: a comparison of three methods of ascertainment |
title_sort | determining antenatal medicine exposures in south african women: a comparison of three methods of ascertainment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164333/ https://www.ncbi.nlm.nih.gov/pubmed/35658841 http://dx.doi.org/10.1186/s12884-022-04765-1 |
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