2020
DOI: 10.1016/j.ejogrb.2020.05.066
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Maternal mortality risk indicators: Case-control study at a referral hospital in Guinea

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Cited by 7 publications
(11 citation statements)
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“…Generally, the number of pregnancy-related death outside health facilities was the highest in Selangor, followed by Johor and Sabah for three consecutive years (13). This nding corresponding to study conducted in Guinea (24) revealed that maternal death signi cantly associated in case of transfer from another hospital (OR 24.60, ). In contrast, Chinkumba et al reported a study conducted in sub-Saharan Africa; the odds for maternal mortality who deliver in health facilities were two times higher compared to home delivery (25) The reason that might account for this result includes those seeking care at facilities may be complicated cases with a higher risk of mortality and referral-based secondary and tertiary facilities in treating women with more complex conditions.…”
Section: Multiple Logistic Regressionsupporting
confidence: 73%
“…Generally, the number of pregnancy-related death outside health facilities was the highest in Selangor, followed by Johor and Sabah for three consecutive years (13). This nding corresponding to study conducted in Guinea (24) revealed that maternal death signi cantly associated in case of transfer from another hospital (OR 24.60, ). In contrast, Chinkumba et al reported a study conducted in sub-Saharan Africa; the odds for maternal mortality who deliver in health facilities were two times higher compared to home delivery (25) The reason that might account for this result includes those seeking care at facilities may be complicated cases with a higher risk of mortality and referral-based secondary and tertiary facilities in treating women with more complex conditions.…”
Section: Multiple Logistic Regressionsupporting
confidence: 73%
“…The other studies were: case-control (n = 1) [ 38 ], Confidential Enquiries into Maternal Deaths (CEMD) or Maternal Death Surveillance and Response (MDSR) audits (n = 4) [ 39 - 42 ], cross-sectional facility and community surveys (n = 4) [ 43 - 46 ], prospective facility and community studies (n = 2) [ 47 , 48 ], Reproductive Age Mortality Study (RAMOS) (n = 2) [ 49 , 50 ], pre and post evaluation (n = 1) [ 51 ], and step-wedge randomised controlled trials (RCT) (n = 1) [ 52 ]. The methods of assigning the causes of death were: study expert panels (n = 21) [ 17 , 18 , 21 , 22 , 24 , 26 , 28 , 29 , 33 - 35 , 37 , 39 , 43 - 46 , 48 - 50 , 52 ], facility/MDSR audit teams (n = 8) [ 16 , 23 , 25 , 31 , 41 , 42 , 51 , 53 ], routine clinical assessments (n = 5) [ 19 , 20 , 27 , 30 , 32 ], physician verbal autopsy coders (n = 1) [ 47 ], and not stated (n = 3) [ 15 , 36 , 38 ]. South Africa contributed 21% of the deaths from 2 studies [ 22 , 41 ], Nigeria 18% from 13 studies [ 15 , 21 , 23 - 25 , 28 - 31 , 35 , 37 , 46 , 48 ], Tanzania 15% from 3 studies [ 16 , 18 , 39 ], and Zimbabwe 9% from 2 studies [ 20 , 42…”
Section: Resultsmentioning
confidence: 99%
“…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%
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“…Efforts to reduce unskilled deliveries at home and ill-equipped primary-care facilities, improve emergency transport and increase access to the right care should continue. [55][56][57][58][59] Hypertensive diseases in pregnancy must also be kept in check as NCDs increase in SSA. 26,27,60,61 Strengths and weaknesses…”
Section: Discussionmentioning
confidence: 99%