Utilization of non-pneumatic anti-shock garment for the management of obstetric hemorrhage among healthcare providers in north Shewa zone, Ethiopia

Global maternal deaths have either increased or stagnated tragically. Obstetric hemorrhage (OH) remains the major cause of maternal deaths. Non-Pneumatic Anti-Shock Garment (NASG) has several positive results in the management of obstetric hemorrhage in resource-limited settings where getting defini...

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Published in:Frontiers in public health 2023-04, Vol.11, p.1052885-1052885
Main Authors: Taye, Birhan Tsegaw, Silesh Zerihun, Mulualem, Moltot Kitaw, Tebabere, Amogne, Fetene Kasahun, Kindie Behulu, Geremew, Lemma Demisse, Tesfanesh, Chekole, Moges Sisay, Fitie, Girma Wogie, Worku, Solomon Adanew, Kibiret, Desta Mekete, Ferede, Addisu Andualem, Bejtual, Kalkidan, Desalegn, Temesgen, Tiguh, Agumas Eskezia, Mihret, Muhabaw Shumye, Kebede, Azmeraw Ambachew
Format: Article
Language:English
Subjects:
Cross-Sectional Studies
Ethiopia
Female
Health Personnel
healthcare provider
Hemorrhage
Humans
Maternal Death
NASG
obstetrics hemorrhage
Pregnancy
Public Health
Shock - etiology
Shock - therapy
women
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Summary:Global maternal deaths have either increased or stagnated tragically. Obstetric hemorrhage (OH) remains the major cause of maternal deaths. Non-Pneumatic Anti-Shock Garment (NASG) has several positive results in the management of obstetric hemorrhage in resource-limited settings where getting definitive treatments are difficult and limited. Therefore, this study aimed to assess the proportion and factors associated with the utilization of NASG for the management of obstetric hemorrhage among healthcare providers in the North Shewa zone, Ethiopia. A cross-sectional study was conducted at health facilities of the north Shewa zone, Ethiopia from June 10th-30th/2021. A simple random sampling (SRS) technique was employed among 360 healthcare providers. Data were collected using a pretested self-administered questionnaire. EpiData version 4.6 and SPSS 25 were used for data entry and analysis, respectively. Binary logistic regression analyses were undertaken to identify associated factors with the outcome variable. The level of significance was decided at a value of of
ISSN:2296-2565
2296-2565
DOI:10.3389/fpubh.2023.1052885