Determinant factors of maternal near miss in selected health facilities of Berak Woreda, Oromia national regional state, Ethiopia

Abstract

<p class="abstract"><strong>Background:</strong> Maternal near miss is one of the related concepts to maternal mortality where women survive merely by chance, luck, or by good hospital care. The present study was aimed to fill the prevailing knowledge gap on maternal near miss ratio and events and identify factors associated with near miss in selected health facilities of berak woreda. To determine associated factors of maternal near miss in selected health facilities of Berak woreda, Oromia national regional state, Ethiopia. </p><p class="abstract"><strong>Methods:</strong> Institutional based case control study was conducted in selected health facilities of barek woreda to asses determinant factors of maternal near miss among delivered women. Data of 1272 (344 cases and 928 controls) women were included in the analysis registered from 11 September 2014 to 30 March 2018. Cases were women due to severe acute maternal morbidity while controls were women for normal labor. Simple random sampling technique was used in the delivery unit. The data were collected using WHO standard tool. Data were entered using epi data version 3.1 and exported to SPSSV.20 for data analysis. </p><p class="abstract"><strong>Results:</strong> Majority of cases were due to obstructed labor 270 (78.8%) followed by hemorrhage 33 (9.6%), preeclampsia 29 (8.14%), abortion 6 (1.74%), anemia 3 (0.87%), congenital heart disease 2 (0.58%) and gestational infection 1 (0.29%).</p><p><strong>Conclusions:</strong> Independent variables residence, duration of labor, ANC utilization, past obstetrics complication and number of live births were statistically significant with the outcome variable near miss. Maternal health policy needs to be concerned preventing major cause of near miss.</p><strong id="tinymce" class="mceContentBody " dir="ltr"><em></em></strong>

Near Miss Obstetric Events and Its Correlates at a Teaching Hospital in South-South, Nigeria

“…Both studies were carried out in Tertiary hospitals in Nigeria, which may explain the similarities. In contrast, polygamy, rural housing, long distance from hospital, poor monthly income, and job in the agricultural sector were identified as significant associations in research conducted in Uganda, Ethiopia, South Sudan, and India [9,15,17,19,21,23]. .2 γ = number of pregnancies was not stated in some folders Single marital status was observed to be the most significant socio-demographic predictor of maternal near miss, with a two-fold increase in risk when compared to married counterparts.…”

“…Maternal mortality has been shown to be a small fraction of the burden of maternal morbidity, as it represents only the end of a spectrum, hence the need to evaluate maternal near miss [1,2,12,24]. Maternal "near-miss obstetrics events" (MNM) is a review of cases at the severe end of the maternal morbidity spectrum of women who nearly died but survived a life-threatening condition during pregnancy, delivery and postpartum [9].…”

“…The World Health Organization (WHO) did, however, adopt a standardized systematic MNM strategy in 2011 [8]. MNM obstetric events are assessments of women who nearly died but survived a potentially fatal condition during pregnancy, labour, or puerperium [9]. The WHO criteria include a set of clinical criteria, laboratory markers, and organ system dysfunction, all of which represent the severity of illnesses and allow MNM cases to be identified [8].…”

“…The indirect causes include chronic diseases or diseases that developed during pregnancy and are not caused by direct causes but are exacerbated by the pregnancy or its management. Human immunodeficiency virus (HIV/AIDS) infection, tuberculosis, anaemia, and cardiac disease in pregnancy are examples of indirect causes [7,9,11,12]. Studies have shown that the predictors of maternal near miss are advanced maternal age, race, illiteracy, polygamous family, low socioeconomic status, rural residency, fewer or no antenatal care (ANC) follow-up, multiple pregnancies, high parity, previous caesarean delivery, caesarean delivery in the current pregnancy, pre-existing medical conditions, lack of referral, lack of insurance coverage, anaemia, and extremes of body weight [5,[13][14][15][16][17][18][19][20][21][22][23].…”

Obstructed labor and its effect on adverse maternal and fetal outcomes in Ethiopia: A systematic review and meta-analysis

“…Maternal near-miss due to obstructed labor. Seven studies reported the prevalence of maternal near-miss due to OL and the pooled prevalence of maternal near-miss was estimated to be 30.5% [30.5 (11.40, 49.59), I 2 = 99.3%, p < 0.001] (Fig 3) [40][41][42][67][68][69][70]]. Egger's test showed a non-significant publication bias, (p-value > 0.830).…”