Dataset Information

Incidence, causes and correlates of maternal near-miss morbidity: a multi-centre cross-sectional study.

ABSTRACT: OBJECTIVE:To explore the incidence and factors associated with maternal near-miss. DESIGN:Cross-sectional study with an embedded case-control study. SETTING:Three tertiary referral hospitals in southern Ghana. POPULATION:All women admitted to study facilities with pregnancy-related complications or for birth. METHODS:An adapted version of the WHO Maternal Near Miss Screening Tool was used to identify maternal near-miss cases. These were compared with unmatched controls (uncomplicated deliveries) in a ratio of 1:2. MAIN OUTCOME MEASURES:Incidence of maternal near-miss, maternal near-miss to maternal mortality ratio, and cause of and factors associated with maternal near-miss. RESULTS:Out of 8433 live births, 288 maternal near-miss cases and 62 maternal deaths were identified. In all, 454 healthy controls were recruited for comparison. Maternal near-miss and maternal death incidence ratios were 34.2 (95% CI 30.2-38.1) and 7.4 (95% CI 5.5-9.2) per 1000 live births, respectively with a maternal near-miss to mortality ratio of 4.6:1. Cause of near-miss was pre-eclampsia/eclampsia (41.0%), haemorrhage (12.2%), maternal sepsis (11.1%) and ruptured uterus (4.2%). A major factor associated with maternal near-miss was maternal fever within the 7 days before birth (OR 5.95, 95%CI 3.754-9.424). Spontaneous onset of labour was protective against near-miss (OR 0.09 95% CI 0.057-0.141). CONCLUSION:For every maternal death, there were nearly five maternal near-misses. Women having a fever in the 7 days before delivery were six times more likely to experience a near-miss than women not having fever. TWEETABLE ABSTRACT:Maternal near-miss exceeds maternal death by 5:1, with the leading cause of maternal near-miss was pre-eclampsia/eclampsia.

SUBMITTER: Oppong SA

PROVIDER: S-EPMC6459711 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Incidence, causes and correlates of maternal near-miss morbidity: a multi-centre cross-sectional study.

Oppong S A SA Bakari A A Bell A J AJ Bockarie Y Y Adu J A JA Turpin C A CA Obed S A SA Adanu R M RM Moyer C A CA

BJOG : an international journal of obstetrics and gynaecology 20190124 6

<h4>Objective</h4>To explore the incidence and factors associated with maternal near-miss.<h4>Design</h4>Cross-sectional study with an embedded case-control study.<h4>Setting</h4>Three tertiary referral hospitals in southern Ghana.<h4>Population</h4>All women admitted to study facilities with pregnancy-related complications or for birth.<h4>Methods</h4>An adapted version of the WHO Maternal Near Miss Screening Tool was used to identify maternal near-miss cases. These were compared with unmatched ...[more]

PMID: 30548506

Similar Datasets

Project description:BackgroundThis study investigates the frequency of near-miss events and compares correlates in the world's newest nation.MethodsA cross-sectional study was carried out to audit near-miss events and their causes. A total of 1,041 mothers were sampled. Data were gathered using World Health Organization near-miss evaluation tools according to morbidity and organ failure-based criteria. Intensive care unit admission criteria were not used (as there is no functional intensive care unit in Juba Teaching Hospital). Descriptive statistics and bivariate and multivariable logistic regression were used to analyze the data. The study adhered to the Declaration of Helsinki.ResultsNearly half (49.7%) of the clients were young pregnant women (aged 15-24 years), with a mean age of 25.07±5.65 years. During the study period, there were 994 deliveries, 94 near-misses, and 10 maternal deaths. This resulted in maternal near-miss and mortality rates of 94.1 per 1,000 and 1,007 per 100,000 live births, respectively. Severe maternal outcome and maternal near-miss rates were 10.47 per 1,000 (morbidity-based criteria) and 41.3 per 1,000 (organ failure-based criteria), respectively. The likelihood of mortality was 25% (95% CI 10%-51%) for a ruptured uterus, 9% (95% CI 4%-17%) for severe postpartum hemorrhage, and 11% (95% CI 3%-30%) for eclampsia. Anemia, hemorrhage, and dystocia were the highest contributory factors in the occurrence of maternal near-misses.ConclusionThe near-miss rate was high. Contributing factors were lack of resources, low quality of primary health care, and delays in care. All near-misses should be regarded as opportunities to improve the quality of maternity care. Health institutes should address delays in conducting interventions, referral barriers, and personnel gaps. Fully functional intensive-care units must be created in all facilities, including Juba Teaching Hospital and other hospitals. Notification policies for all near-miss cases should be in place in all health care units, with a "no shame, no blame" approach.

Project description:There is international interest in monitoring severe events in the obstetrical population, commonly referred to as maternal near miss or severe maternal morbidity. These events can have significant consequences for individuals in this population and further study can inform practices to reduce both maternal morbidity and mortality. Numerous surveillance systems exist but we lack a standardized approach. Given the current inconsistencies and the importance in monitoring these events, this study aimed to identify and compare commonly used surveillance methods. In June 2018, we systematically searched MEDLINE, EMBASE, and CINAHL using terms related to monitoring/surveillance and maternal near miss/severe maternal morbidity. We included papers that used at least three indicators to monitor for these events and collected data on specific surveillance methods. We calculated the rate of maternal near miss/severe maternal morbidity in hospitalization data obtained from the 2016 US National Inpatient Sample using five common surveillance methods. Of 18,832 abstracts, 178 papers were included in our review. 198 indicators were used in studies included in our review; 71.2% (n = 141) of these were used in <10% of included studies and only 6.1% (n = 12) were used in >50% of studies included in our review. Eclampsia was the only indicator that was assessed in >80% of included studies. The rate of these events in American hospitalization data varied depending on the criteria used, ranging from 5.07% (95% CI = 5.02, 5.11) with the Centers for Disease Control criteria and 7.85% (95% CI = 7.79, 7.91) using the Canadian Perinatal Surveillance System. Our review highlights inconsistencies in monitoring practices within and between developed and developing countries. Given the wide variation in monitoring approaches observed and the likely contributing factors for these differences, it may be more feasible for clinical and academic efforts to focus on standardizing approaches in developed and developing countries independently at this time. PROSPERO Registration: CRD42018096858.

Project description:BackgroundMaternal mortality ratio in Nigeria is one of the highest in the world. Near misses occur in larger numbers than maternal deaths hence they allow for a more comprehensive analysis of risk factors and determinants as well as outcomes of life-threatening complications in pregnancy. The study determined the incidence, characteristics, determinants and perinatal outcomes of near misses in a tertiary hospital in South-west Nigeria.MethodsA prospective case control study was conducted at the maternity units of the Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife Nigeria between July 2006 and July 2007. Near miss cases were defined based on validated disease-specific criteria which included severe haemorrhage, hypertensive disorders in pregnancy, prolonged obstructed labour, infection and severe anemia. Four unmatched controls of pregnant women were selected for every near miss case. Three categories of risk factors (background, proximate, clinical) which derived from a conceptual framework were examined. The perinatal outcomes were also assessed. Bi-variate logistic regressions were used for multivariate analysis of determinants and perinatal outcomes of near miss.ResultsThe incidence of near miss was 12%. Severe haemorrhage (41.3%), hypertensive disorders in pregnancy (37.3%), prolonged obstructed labour (23%), septicaemia (18.6%) and severe anaemia (14.6%) were the direct causes of near miss. The significant risk factors with their odds ratio and 95% confidence intervals were: chronic hypertension [OR=6.85; 95% CI: (1.96 - 23.93)] having experienced a phase one delay [OR=2.07; 95% CI (1.03 - 4.17)], Emergency caesarian section [OR=3.72; 95% CI: (0.93 - 14.9)], assisted vaginal delivery [OR=2.55; 95% CI: (1.34 - 4.83)]. The protective factors included antenatal care attendance at tertiary facility [OR=0.19; 95% CI: (0.09 - 0.37)], knowledge of pregnancy complications [OR=0.47; 95% CI (0.24 - 0.94)]. Stillbirth [OR=5.4; 95% CI (2.17 - 13.4)] was the most significant adverse perinatal outcomes associated with near miss event.ConclusionsThe analysis of near misses has evolved as a useful tool in the investigation of maternal health especially in life-threatening situations. The significant risk factors identified in this study are amenable to appropriate public health and medical interventions. Adverse perinatal outcomes are clearly attributable to near miss events. Therefore the findings should contribute to Nigeria's effort to achieving MDG 4 and 5.

Dataset Information

Incidence, causes and correlates of maternal near-miss morbidity: a multi-centre cross-sectional study.

Publications

Incidence, causes and correlates of maternal near-miss morbidity: a multi-centre cross-sectional study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets