Literature DB >> 31691379

Association of maternity waiting home utilization with women's perceived geographic barriers and delivery complications in Ethiopia.

Biniam Getachew1, Tippawan Liabsuetrakul1, Yirgu Gebrehiwot2.   

Abstract

OBJECTIVES: The aim of this study is to identify the influence of perceived geographic barriers to the utilization of maternity waiting homes (MWHs) and to explore factors associated with current delivery complications among MWH users and nonusers.
METHODS: An observational cross-sectional study was conducted between December 2017 and June 2018 in eight health facilities with MWH in the Gurage zone of Ethiopia. The associated factors were identified by using the combination of a directed acyclic graph (DAG) concept and multiple logistic regression for data analysis.
RESULTS: A total of 716 women were included in the study, of whom 358 were MWH users. MWH users had lower odds of having delivery complications. Lower odds of delivery complications were found among women who gave birth in non-cesarean section (CS) facilities. Women with pregnancy complications and did not used MWH were more likely to develop delivery complications. Women with delivery complications had higher odds of undergoing cesarean delivery and neonatal death.
CONCLUSIONS: Geographic barriers influenced the utilization of MWH. The women who used MWH had lower delivery complications. This study strengthens the evidence of MWH utilization as a useful strategy to overcome geographic barriers and lower delivery complications.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Ethiopia; delivery complications; geographic barriers; maternal health services; maternity waiting homes

Mesh:

Year:  2019        PMID: 31691379     DOI: 10.1002/hpm.2940

Source DB:  PubMed          Journal:  Int J Health Plann Manage        ISSN: 0749-6753


  7 in total

1.  Maternity waiting homes as component of birth preparedness and complication readiness for rural women in hard-to-reach areas in Ethiopia.

Authors:  Mekdes Kondale Gurara; Jean-Pierre Van Geertruyden; Befikadu Tariku Gutema; Veerle Draulans; Yves Jacquemyn
Journal:  Reprod Health       Date:  2021-02-02       Impact factor: 3.223

2.  The effect of maternity waiting homes on perinatal mortality is inconclusive: a critical appraisal of existing evidence from Sub-Saharan Africa.

Authors:  Jaameeta Kurji; Kristy Hackett; Kayli Wild; Zohra Lassi
Journal:  BMC Res Notes       Date:  2021-03-09

3.  Determinants of maternity waiting home utilization in Sidama Zone, Southern Ethiopia: A cross-sectional study.

Authors:  Zelalem Tenaw; Rekiku Fikre; Hirut Gemeda; Ayalew Astatkie
Journal:  PLoS One       Date:  2022-03-14       Impact factor: 3.240

4.  Effect of Preterm Birth on the Risk of Adverse Perinatal and Neonatal Outcomes in Ethiopia: A Systematic Review and Meta-Analysis.

Authors:  Melaku Desta; Melaku Admas; Yordanos Yeshitila; Belsity Meselu; Keralem Bishaw; Moges Assemie; Nigus Yimer; Getachew Kassa
Journal:  Inquiry       Date:  2021 Jan-Dec       Impact factor: 1.730

Review 5.  Benefits, barriers and enablers of maternity waiting homes utilization in Ethiopia: an integrative review of national implementation experience to date.

Authors:  Mekdes Kondale Gurara; Yves Jacquemyn; Gebresilasea Gendisha Ukke; Jean-Pierre Van Geertruyden; Veerle Draulans
Journal:  BMC Pregnancy Childbirth       Date:  2022-09-02       Impact factor: 3.105

Review 6.  Understanding maternity waiting home uptake and scale-up within low-income and middle-income countries: a programme theory from a realist review and synthesis.

Authors:  Nadege Sandrine Uwamahoro; Daphne McRae; Elaine Zibrowski; Ify Victor-Uadiale; Brynne Gilmore; Nicole Bergen; Nazeem Muhajarine
Journal:  BMJ Glob Health       Date:  2022-09

7.  Association between maternity waiting home stay and obstetric outcomes in Yetebon, Ethiopia: a mixed-methods observational cohort study.

Authors:  Anne K Erickson; Safa Abdalla; Alice Serenska; Bete Demeke; Gary L Darmstadt
Journal:  BMC Pregnancy Childbirth       Date:  2021-07-03       Impact factor: 3.007

  7 in total

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