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A critical analysis of maternal morbidity and mortality in Liberia, West Africa
1University of Michigan, School of Nursing, 400N. Ingalls Bldg., Room 4320B, Ann Arbor, MI 48109-5482, USA. jrlori@umich.edu
Objective:
To conduct a secondary analysis of maternal death and near-miss audits conducted at the community and facility level to explore the causes and circumstances surrounding maternal mortality and severe morbidity in one rural county in Liberia, West Africa.
Design:
A non-experimental, descriptive design utilising maternal death and near-miss audit surveys was utilised for data collection. Thaddeus and Maine's Three Delays Model was used as a framework for analysis.
Setting:
One rural county in north-central Liberia.
Participants:
Interviews were conducted with (1) women who suffered a severe morbidity or nearmiss event, (2) family members of women who died or presented with a severe morbidity, and (3) community members or health workers involved in the care of the woman.
Measurements:
(1) Maternal mortality, (2) near-miss events, and (3) delays related to problem identification, transportation challenges and delays after reaching the referral site.
Findings:
120 near-miss events and 28 maternal mortalities were analysed. 16% of all deliveries at the referral hospital were classified as near-miss events. Near-miss events were six times more common than deaths. The majority of women experiencing a near-miss event (85%) were in critical condition upon arrival at the hospital suggesting important delays were encountered in reaching the facility.
Key Conclusions:
Maternal mortality and near-miss audits allow exploration of medical and non-medical factors leading up to a severe complication or maternal death. Delays in reaching a referral hospital can have a significant impact on maternal survival rates.
Implications For Practice:
Audits can stimulate a change in clinical practice and help identify areas for county health departments to focus their scant resources. Audits can be used as a quality improvement tool in facilities. Results can be used to identify communities with high rates of delay to target educational programmes.
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