2020
DOI: 10.1186/s12884-020-02899-8
|View full text |Cite
|
Sign up to set email alerts
|

Triangulating data sources for further learning from and about the MDSR in Ethiopia: a cross-sectional review of facility based maternal death data from EmONC assessment and MDSR system

Abstract: Background: Triangulating findings from MDSR with other sources can better inform maternal health programs. A national Emergency Obstetric and Newborn Care (EmONC) assessment and the Maternal Death Surveillance and Response (MDSR) system provided data to determine the coverage of MDSR implementation in health facilities, the leading causes and contributing factors to death, and the extent to which life-saving interventions were provided to deceased women.Methods: This paper is based on triangulation of finding… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

4
15
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 13 publications
(19 citation statements)
references
References 25 publications
4
15
0
Order By: Relevance
“…These challenges are endemic in SSA, where delivery at home and in unequipped primary care facilities is typical. First delay (delay in deciding to present at a health facility) and second delay (delay to move a patient to an appropriate level of care) are common because of poor health-seeking behaviours, long distances to health facilities, and lack of transport to tertiary institutions [ 19 , 39 , 45 ]. In Guinea, maternal death odds ratios were significantly elevated in cases transferred from another hospital [ 19 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These challenges are endemic in SSA, where delivery at home and in unequipped primary care facilities is typical. First delay (delay in deciding to present at a health facility) and second delay (delay to move a patient to an appropriate level of care) are common because of poor health-seeking behaviours, long distances to health facilities, and lack of transport to tertiary institutions [ 19 , 39 , 45 ]. In Guinea, maternal death odds ratios were significantly elevated in cases transferred from another hospital [ 19 ].…”
Section: Discussionmentioning
confidence: 99%
“…In Guinea, maternal death odds ratios were significantly elevated in cases transferred from another hospital [ 19 ]. In Ethiopia, the second delay contributed 40%, while the third delay (delay to receive adequate care when an appropriate facility is reached) contributed 22% of maternal deaths [ 45 ].…”
Section: Discussionmentioning
confidence: 99%
“…The distribution of included articles by country was as follows:, Algeria [60], Benin [78], Burkina Faso [122,143], Cameroon [99,133], Democratic Republic of Congo [55,82], Egypt [105], Eritrea [102], Ethiopia [57,62,71,72,74,86,130,131], Ghana [49,52,53,58,69,141], Guinea-Bissau [76], Kenya [63,91,110,123,142,145], Madagascar [79], Malawi [80,83,100,126,140], Morocco [44], Mozambique [59], Nigeria [42,43,45,47,48,54,56,65,67,89,…”
Section: Characteristics Of Included Studiesmentioning
confidence: 99%
“…7 Approximately 80 million units of blood were collected from voluntary donors globally each year, though only 2 million units were collected in sub-Saharan Africa (SSA), where the need is very high. 8 In SSA, a total of 18 million units of safe blood are required annually, but only 15% were collected. 9 This is also a common problem in Ethiopia.…”
Section: Introductionmentioning
confidence: 99%
“…12 About 30-50% of these deaths were attributable to postpartum hemorrhage (PPH) and more than two-thirds of mothers die without getting a blood transfusion. 8 Besides, the global magnitude of injuries and death as a result of motor vehicle accidents is increasing, particularly in developing countries, including SSA. 13 The majority of these deaths after traumatic injuries are as a result of hemorrhage which could be averted through transfusion of blood.…”
Section: Introductionmentioning
confidence: 99%