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Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study

OBJECTIVES: Antibiotics are the most frequently prescribed medications for pregnant and breastfeeding women. We applied interrupted time-series analysis (ITSA) to describe antibiotic prescription fills patterns in pregnant women and examined recurrent antibiotic fills in subsequent pregnancies. DESI...

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Autores principales: Trinh, Nhung Thi Hong, Hjorth, Sarah, Nordeng, Hedvig Marie Egeland
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655575/
https://www.ncbi.nlm.nih.gov/pubmed/34880014
http://dx.doi.org/10.1136/bmjopen-2021-050569
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author Trinh, Nhung Thi Hong
Hjorth, Sarah
Nordeng, Hedvig Marie Egeland
author_facet Trinh, Nhung Thi Hong
Hjorth, Sarah
Nordeng, Hedvig Marie Egeland
author_sort Trinh, Nhung Thi Hong
collection PubMed
description OBJECTIVES: Antibiotics are the most frequently prescribed medications for pregnant and breastfeeding women. We applied interrupted time-series analysis (ITSA) to describe antibiotic prescription fills patterns in pregnant women and examined recurrent antibiotic fills in subsequent pregnancies. DESIGNS: A population-based drug utilisation study. SETTING: Norwegian primary care. PARTICIPANTS: 653 058 pregnancies derived from Medical Birth Registry of Norway linked to the Norwegian Prescription Database (2006–2016). MAIN OUTCOME MEASURE: Proportion of pregnancies exposed to antibiotics aggregated by week in pregnancy time windows. STATISTICAL ANALYSES: We descriptively analysed antibiotic prescription fills patterns and components in pregnant women. The changes in antibiotic fills in pregnancy time windows were assessed using ITSA. Interruptions points at week 4 to week 7 into pregnancy and delivery were used. Factors associated with antibiotic fills during pregnancy were identified using generalised estimating equations for Poisson regression. Recurrent antibiotic use was estimated using proportion of women who filled antibiotic prescription in a subsequent pregnancy. RESULTS: Antibiotics were filled in 27.6% pregnancies. The ITSA detected an immediate decrease of 0.07 percentage points (95% CI −0.13 to –0.01) in the proportion of exposed pregnancies at 4 weeks after conception, mainly among women taking folic acid before pregnancy. This proportion increased shortly after delivery (immediate change=1.61 percentage points (95% CI 0.31 to 2.91)) then decreased gradually afterwards (change in slope=−0.19 percentage points, 95% CI −0.34 to –0.05)). The strongest factor associated with antibiotic fills during pregnancy was having recurrent urinary tract infections (adjusted OR=2.65, 95% CI 2.59 to 2.72). Women who had filled antibiotics during a pregnancy were up to three times more likely to fill antibiotics in the subsequent pregnancies. CONCLUSIONS: ITSA highlighted important impact of pregnancy and delivery on antibiotic fillings. Having antibiotic fills in a pregnancy was associated with recurrent antibiotic fills in subsequent ones.
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spelling pubmed-86555752021-12-27 Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study Trinh, Nhung Thi Hong Hjorth, Sarah Nordeng, Hedvig Marie Egeland BMJ Open Obstetrics and Gynaecology OBJECTIVES: Antibiotics are the most frequently prescribed medications for pregnant and breastfeeding women. We applied interrupted time-series analysis (ITSA) to describe antibiotic prescription fills patterns in pregnant women and examined recurrent antibiotic fills in subsequent pregnancies. DESIGNS: A population-based drug utilisation study. SETTING: Norwegian primary care. PARTICIPANTS: 653 058 pregnancies derived from Medical Birth Registry of Norway linked to the Norwegian Prescription Database (2006–2016). MAIN OUTCOME MEASURE: Proportion of pregnancies exposed to antibiotics aggregated by week in pregnancy time windows. STATISTICAL ANALYSES: We descriptively analysed antibiotic prescription fills patterns and components in pregnant women. The changes in antibiotic fills in pregnancy time windows were assessed using ITSA. Interruptions points at week 4 to week 7 into pregnancy and delivery were used. Factors associated with antibiotic fills during pregnancy were identified using generalised estimating equations for Poisson regression. Recurrent antibiotic use was estimated using proportion of women who filled antibiotic prescription in a subsequent pregnancy. RESULTS: Antibiotics were filled in 27.6% pregnancies. The ITSA detected an immediate decrease of 0.07 percentage points (95% CI −0.13 to –0.01) in the proportion of exposed pregnancies at 4 weeks after conception, mainly among women taking folic acid before pregnancy. This proportion increased shortly after delivery (immediate change=1.61 percentage points (95% CI 0.31 to 2.91)) then decreased gradually afterwards (change in slope=−0.19 percentage points, 95% CI −0.34 to –0.05)). The strongest factor associated with antibiotic fills during pregnancy was having recurrent urinary tract infections (adjusted OR=2.65, 95% CI 2.59 to 2.72). Women who had filled antibiotics during a pregnancy were up to three times more likely to fill antibiotics in the subsequent pregnancies. CONCLUSIONS: ITSA highlighted important impact of pregnancy and delivery on antibiotic fillings. Having antibiotic fills in a pregnancy was associated with recurrent antibiotic fills in subsequent ones. BMJ Publishing Group 2021-12-07 /pmc/articles/PMC8655575/ /pubmed/34880014 http://dx.doi.org/10.1136/bmjopen-2021-050569 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Obstetrics and Gynaecology
Trinh, Nhung Thi Hong
Hjorth, Sarah
Nordeng, Hedvig Marie Egeland
Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study
title Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study
title_full Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study
title_fullStr Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study
title_full_unstemmed Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study
title_short Use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a Norwegian nationwide cohort study
title_sort use of interrupted time-series analysis to characterise antibiotic prescription fills across pregnancy: a norwegian nationwide cohort study
topic Obstetrics and Gynaecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655575/
https://www.ncbi.nlm.nih.gov/pubmed/34880014
http://dx.doi.org/10.1136/bmjopen-2021-050569
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