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Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital
BACKGROUND: The World Health Organization (WHO) defines Preterm Birth (PTB) as “a live birth taking place before the expected 37 weeks of gestation”. Annually, approximately 15 million infants are born prematurely, constituting significantly to infant mortality during the initial four weeks of life,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666300/ https://www.ncbi.nlm.nih.gov/pubmed/37996791 http://dx.doi.org/10.1186/s12884-023-06120-4 |
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author | Etil, Tom Opio, Bosco Odur, Bernard Lwanga, Charles Atuhaire, Leonard |
author_facet | Etil, Tom Opio, Bosco Odur, Bernard Lwanga, Charles Atuhaire, Leonard |
author_sort | Etil, Tom |
collection | PubMed |
description | BACKGROUND: The World Health Organization (WHO) defines Preterm Birth (PTB) as “a live birth taking place before the expected 37 weeks of gestation”. Annually, approximately 15 million infants are born prematurely, constituting significantly to infant mortality during the initial four weeks of life, responsible for 40% of deaths among children under the age of five. Evidently, preterm deliveries have contributed to 46% of admissions to the neonatal intensive care unit (NICU) at Lira Regional Referral Hospital (LRRH) over the past three years. Paradoxically, while the prevalence of preterm births remains high, there is a lack of documented information regarding the underlying risk factors. Consequently, the primary objective of this study was to assess the potential risk factors associated with preterm birth at LRRH. METHODS: An analytical cross-sectional research was undertaken at LRRH, employing a quantitative methodology. The study utilized secondary data obtained from a total of 590 comprehensive maternal medical records, of deliveries that occurred at the facility between April 2020 and July 2021. The collected data underwent analysis using STATA version 17 software. To identify predictors of preterm birth, a Logistic regression model was applied, yielding adjusted odds ratios (AOR) alongside 95% confidence intervals (CI). The significance level was set at p < 0.05 to establish statistical significance. Furthermore, assessments for multicollinearity and model fitness were conducted using the Variance Inflation Factor (VIF) and linktest, respectively. RESULTS: The prevalence of preterm delivery among mothers who gave birth at LRRH stood at 35.8%. The outcomes of logistic regression analysis revealed that maternal employment status had a statistically significant association with preterm birth (AOR = 0.657, p = 0.037, 95%CI: 0.443–0.975); having a baby with low birth weight (AOR = 0.228, p < 0.001, 95% CI: 0.099–0.527) and experiencing preeclampsia (AOR = 0.142, p < 0.001, 95% CI: 0.088–0.229) were also identified as significant predictors of preterm birth in the study. CONCLUSIONS AND RECOMMENDATIONS: The occurrence of preterm delivery is significantly higher (35.8%) among mothers who gave birth at LRRH when compared to the national average (13.6%). The prevalence of preterm birth among mothers was linked to factors such as employment status, delivery of low birth weight infants, and the presence of preeclampsia. Consequently, the research proposes a set of recommendations. Firstly, the Ministry of Health (MoH) should evaluate the present state of readiness within the healthcare system to effectively handle cases of preterm birth both within medical facilities and the community. Secondly, the Ministry of Gender, Labour, and Social Development should leverage Labor Officers to implement and uphold the regulations stipulated in the Employment Act and Labor Laws. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-06120-4. |
format | Online Article Text |
id | pubmed-10666300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106663002023-11-23 Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital Etil, Tom Opio, Bosco Odur, Bernard Lwanga, Charles Atuhaire, Leonard BMC Pregnancy Childbirth Research BACKGROUND: The World Health Organization (WHO) defines Preterm Birth (PTB) as “a live birth taking place before the expected 37 weeks of gestation”. Annually, approximately 15 million infants are born prematurely, constituting significantly to infant mortality during the initial four weeks of life, responsible for 40% of deaths among children under the age of five. Evidently, preterm deliveries have contributed to 46% of admissions to the neonatal intensive care unit (NICU) at Lira Regional Referral Hospital (LRRH) over the past three years. Paradoxically, while the prevalence of preterm births remains high, there is a lack of documented information regarding the underlying risk factors. Consequently, the primary objective of this study was to assess the potential risk factors associated with preterm birth at LRRH. METHODS: An analytical cross-sectional research was undertaken at LRRH, employing a quantitative methodology. The study utilized secondary data obtained from a total of 590 comprehensive maternal medical records, of deliveries that occurred at the facility between April 2020 and July 2021. The collected data underwent analysis using STATA version 17 software. To identify predictors of preterm birth, a Logistic regression model was applied, yielding adjusted odds ratios (AOR) alongside 95% confidence intervals (CI). The significance level was set at p < 0.05 to establish statistical significance. Furthermore, assessments for multicollinearity and model fitness were conducted using the Variance Inflation Factor (VIF) and linktest, respectively. RESULTS: The prevalence of preterm delivery among mothers who gave birth at LRRH stood at 35.8%. The outcomes of logistic regression analysis revealed that maternal employment status had a statistically significant association with preterm birth (AOR = 0.657, p = 0.037, 95%CI: 0.443–0.975); having a baby with low birth weight (AOR = 0.228, p < 0.001, 95% CI: 0.099–0.527) and experiencing preeclampsia (AOR = 0.142, p < 0.001, 95% CI: 0.088–0.229) were also identified as significant predictors of preterm birth in the study. CONCLUSIONS AND RECOMMENDATIONS: The occurrence of preterm delivery is significantly higher (35.8%) among mothers who gave birth at LRRH when compared to the national average (13.6%). The prevalence of preterm birth among mothers was linked to factors such as employment status, delivery of low birth weight infants, and the presence of preeclampsia. Consequently, the research proposes a set of recommendations. Firstly, the Ministry of Health (MoH) should evaluate the present state of readiness within the healthcare system to effectively handle cases of preterm birth both within medical facilities and the community. Secondly, the Ministry of Gender, Labour, and Social Development should leverage Labor Officers to implement and uphold the regulations stipulated in the Employment Act and Labor Laws. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-06120-4. BioMed Central 2023-11-23 /pmc/articles/PMC10666300/ /pubmed/37996791 http://dx.doi.org/10.1186/s12884-023-06120-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Etil, Tom Opio, Bosco Odur, Bernard Lwanga, Charles Atuhaire, Leonard Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital |
title | Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital |
title_full | Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital |
title_fullStr | Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital |
title_full_unstemmed | Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital |
title_short | Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital |
title_sort | risk factors associated with preterm birth among mothers delivered at lira regional referral hospital |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666300/ https://www.ncbi.nlm.nih.gov/pubmed/37996791 http://dx.doi.org/10.1186/s12884-023-06120-4 |
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