Cargando…
Predictors of maternal near miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study
BACKGROUND: Maternal mortality and morbidity remain unacceptably high in developing countries. Behind every maternal death, many other women suffered from acute and chronic obstetric complications. Women who survive severe acute maternal morbidities/near miss have many characteristics in common with...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019215/ https://www.ncbi.nlm.nih.gov/pubmed/29940889 http://dx.doi.org/10.1186/s12884-018-1903-1 |
_version_ | 1783335079519453184 |
---|---|
author | Kasahun, Abebaw Wasie Wako, Wako Golicha |
author_facet | Kasahun, Abebaw Wasie Wako, Wako Golicha |
author_sort | Kasahun, Abebaw Wasie |
collection | PubMed |
description | BACKGROUND: Maternal mortality and morbidity remain unacceptably high in developing countries. Behind every maternal death, many other women suffered from acute and chronic obstetric complications. Women who survive severe acute maternal morbidities/near miss have many characteristics in common with maternal death events particularly on risk factors. Ethiopia is among countries with high maternal mortality and morbidities in sub-Saharan Africa. However there is scarce evidence on risk factors of severe acute maternal morbidities in Ethiopia. Therefore this study aimed to identify predictors of maternal near miss among women admitted in Gurage zone hospitals, south Ethiopia, 2017. METHODS: Hospital based case control study was conducted to assess predictors of maternal near miss among women admitted in five hospitals of Gurage zone, South Ethiopia. Data of 229 (77 cases and 152 controls) women were included in the analysis. Cases were women admitted due to severe acute maternal morbidity while controls were women admitted for normal labor or women admitted due to mild to moderate obstetric complications. Cases were identified by validated-disease specific criteria. Then, two controls were selected for each verified case using lottery method among eligible women. Data were collected using interviewer administered questionnaire and reviewing patients’ records. Data were entered using Epi Info 7 and analyzed by SPSS 21. Multivariable logistic regression analysis was done to identify independent predictors of maternal near miss. RESULT: Majority of cases were admitted due to dystocia (57.1%) and obstetric hemorrhage (26%). The median first delay (delay to seek health care) among cases and controls was six and 4 h respectively. Prior history of cesarean section {AOR 7.68, 95%CI, 3.11–18.96}, first delay {AOR 2.79, 95%CI, 1.42–5.50}, and being referred from other health facilities {AOR 7.47, 95% CI, 2.27–24.51} were independent predictors of maternal near miss. CONCLUSIONS: Prior history of cesarean section, being referred from other health facilities and first delay were factors associated with maternal near miss. Timely health care seeking behavior of women is uncommon in the study area. Therefore primary health care programs need to enhance the existing efforts to improve timely health care seeking behavior of women. |
format | Online Article Text |
id | pubmed-6019215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60192152018-07-06 Predictors of maternal near miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study Kasahun, Abebaw Wasie Wako, Wako Golicha BMC Pregnancy Childbirth Research Article BACKGROUND: Maternal mortality and morbidity remain unacceptably high in developing countries. Behind every maternal death, many other women suffered from acute and chronic obstetric complications. Women who survive severe acute maternal morbidities/near miss have many characteristics in common with maternal death events particularly on risk factors. Ethiopia is among countries with high maternal mortality and morbidities in sub-Saharan Africa. However there is scarce evidence on risk factors of severe acute maternal morbidities in Ethiopia. Therefore this study aimed to identify predictors of maternal near miss among women admitted in Gurage zone hospitals, south Ethiopia, 2017. METHODS: Hospital based case control study was conducted to assess predictors of maternal near miss among women admitted in five hospitals of Gurage zone, South Ethiopia. Data of 229 (77 cases and 152 controls) women were included in the analysis. Cases were women admitted due to severe acute maternal morbidity while controls were women admitted for normal labor or women admitted due to mild to moderate obstetric complications. Cases were identified by validated-disease specific criteria. Then, two controls were selected for each verified case using lottery method among eligible women. Data were collected using interviewer administered questionnaire and reviewing patients’ records. Data were entered using Epi Info 7 and analyzed by SPSS 21. Multivariable logistic regression analysis was done to identify independent predictors of maternal near miss. RESULT: Majority of cases were admitted due to dystocia (57.1%) and obstetric hemorrhage (26%). The median first delay (delay to seek health care) among cases and controls was six and 4 h respectively. Prior history of cesarean section {AOR 7.68, 95%CI, 3.11–18.96}, first delay {AOR 2.79, 95%CI, 1.42–5.50}, and being referred from other health facilities {AOR 7.47, 95% CI, 2.27–24.51} were independent predictors of maternal near miss. CONCLUSIONS: Prior history of cesarean section, being referred from other health facilities and first delay were factors associated with maternal near miss. Timely health care seeking behavior of women is uncommon in the study area. Therefore primary health care programs need to enhance the existing efforts to improve timely health care seeking behavior of women. BioMed Central 2018-06-26 /pmc/articles/PMC6019215/ /pubmed/29940889 http://dx.doi.org/10.1186/s12884-018-1903-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Kasahun, Abebaw Wasie Wako, Wako Golicha Predictors of maternal near miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study |
title | Predictors of maternal near miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study |
title_full | Predictors of maternal near miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study |
title_fullStr | Predictors of maternal near miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study |
title_full_unstemmed | Predictors of maternal near miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study |
title_short | Predictors of maternal near miss among women admitted in Gurage zone hospitals, South Ethiopia, 2017: a case control study |
title_sort | predictors of maternal near miss among women admitted in gurage zone hospitals, south ethiopia, 2017: a case control study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019215/ https://www.ncbi.nlm.nih.gov/pubmed/29940889 http://dx.doi.org/10.1186/s12884-018-1903-1 |
work_keys_str_mv | AT kasahunabebawwasie predictorsofmaternalnearmissamongwomenadmittedinguragezonehospitalssouthethiopia2017acasecontrolstudy AT wakowakogolicha predictorsofmaternalnearmissamongwomenadmittedinguragezonehospitalssouthethiopia2017acasecontrolstudy |