Dataset Information

Severe maternal morbidity in the Asia Pacific: a systematic review and meta-analysis.

ABSTRACT:

Background

Monitoring rates of severe maternal morbidity (such as eclampsia and uterine rupture) is useful to assess the quality of obstetric care, particularly in low and lower-middle-income countries (LMICs).

Methods

We undertook a systematic review characterising the proportion and causes of severe maternal morbidity in the Asia Pacific region. We searched Medline, Embase, Cochrane CENTRAL library and the World Health Organization Western Pacific Index database for studies in the Asia-Pacific reporting maternal morbidity/near miss using a predefined search strategy. We included cohort, case-control and cross-sectional studies published in English before September 2020. A meta-analysis was performed calculating the overall proportion of near miss events by sub-region, country, near miss definition, economic status, setting and cause using a random-effects model.

Findings

We identified 26,232 articles, screened 24,306 and retrieved 454 full text articles. Of these, 197 studies spanning 27 countries were included. 13 countries in the region were not represented. There were 30,183,608 pregnancies and 100,011 near misses included. The total proportion of near miss events was 4•4 (95% CI 4•3-4•5) per 1000 total births. The greatest proportion of near misses were found in the Western Pacific region (around Papua New Guinea) at 11•8 per 1000 births (95% CI 6•6-17•1; I² 96.05%). Low-income countries displayed the greatest proportion of near misses (13•4, 95% CI 6•0-20•7), followed by lower-middle income countries (11•1; 95% CI 10•4 - 11•9). High-income countries had the lowest proportion (2•2, 95% CI 2•1-2•3). Postpartum haemorrhage was the most common near miss event (5•9, 95% CI 4•5-7•2), followed by eclampsia (2•7, 95% CI 2•4 - 2•9).

Interpretation

There is a high burden of severe maternal morbidity in the Asia-Pacific. LMICs are disproportionately affected. Most of the common causes are preventable. This provides an opportunity to implement targeted interventions which could have major clinical impact.

SUBMITTER: De Silva M

PROVIDER: S-EPMC8358707 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:While there is clear evidence that severe maternal morbidity (SMM) contributes significantly to poor maternal health outcomes, limited data exist on its impact on perinatal outcomes. We undertook a systematic review and meta-analysis to ascertain the association between SMM and adverse perinatal outcomes in high-income countries (HICs). We searched for full-text publications in PubMed, Embase, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and Scopus databases. Studies that reported data on the association of SMM and adverse perinatal outcomes, either as a composite or individual outcome, were included. Two authors independently assessed study eligibility, extracted data, and performed quality assessment using the Newcastle-Ottawa Scale. We used random-effects modelling to calculate odds ratios (ORs) with 95% confidence intervals. We also assessed the risk of publication bias and statistical heterogeneity using funnel plots and Higgins I2, respectively. We defined sub-groups of SMM as hemorrhagic disorders, hypertensive disorders, cardiovascular disorders, hepatic disorders, renal disorders, and thromboembolic disorders. Adverse perinatal outcome was defined as preterm birth (before 37 weeks gestation), small for gestational age (SGA) (birth weight (BW) < 10th centile for gestation), low birthweight (LBW) (BW < 2.5 kg), Apgar score < 7 at 5 min, neonatal intensive care unit (NICU) admission, stillbirth and perinatal death (stillbirth and neonatal deaths up to 28 days). A total of 35 studies consisting of 38,909,426 women were included in the final analysis. SMMs associated with obstetric hemorrhage (OR 3.42, 95% CI: 2.55-4.58), severe hypertensive disorders (OR 6.79, 95% CI: 6.06-7.60), hepatic (OR 3.19, 95% CI: 2.46-4.13) and thromboembolic disorders (OR 2.40, 95% CI: 1.67-3.46) were significantly associated with preterm birth. SMMs from hypertensive disorders (OR 2.86, 95% CI: 2.51-3.25) or thromboembolic disorders (OR 1.48, 95% CI: 1.09-1.99) were associated with greater odds of having SGA infant. Women with severe hemorrhage had increased odds of LBW infant (OR 2.31, 95% CI: 1.57-3.40). SMMs from obstetric hemorrhage (OR 4.16, 95% CI: 2.54-6.81) or hypertensive disorders (OR 4.61, 95% CI: 1.17-18.20) were associated with an increased odds of low 5-min Apgar score and NICU admission (Severe obstetric hemorrhage: OR 3.34, 95% CI: 2.26-4.94 and hypertensive disorders: OR 3.63, 95% CI: 2.63-5.02, respectively). Overall, women with SMM were 4 times more likely to experience stillbirth (OR 3.98, 95%C 3.12-7.60) compared to those without SMM with cardiovascular disease (OR 15.2, 95% CI: 1.29-180.60) and thromboembolic disorders (OR 9.43, 95% CI: 4.38-20.29) conferring greatest risk of this complication. The odds of neonatal death were significantly higher in women with SMM (OR 3.98, 95% CI: 2.44-6.47), with those experiencing hemorrhagic (OR 7.33, 95% CI: 3.06-17.53) and hypertensive complications (OR 3.0, 95% CI: 1.78-5.07) at highest risk. Overall, SMM was also associated with higher odds of perinatal death (OR 4.74, 95% CI: 2.47-9.12) mainly driven by the increased risk in women experiencing severe obstetric hemorrhage (OR 6.18, 95% CI: 2.55-14.96). Our results highlight the importance of mitigating the impact of SMM not only to improve maternal health but also to ameliorate its consequences on perinatal outcomes.

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:BackgroundThe incidence of severe maternal morbidity is increasing in high-income countries as a consequence, in part, of increased obstetric intervention and increasingly complex medical needs of women who become pregnant. Access to emergency obstetric care means that for the majority of women in these countries, an experience of severe maternal morbidity is unlikely to result in loss of life. However, little is known about the subsequent impact on postnatal psychological health resulting in an evidence gap to support provision of appropriate care for these women. There has recently been increasing recognition that childbirth can be a cause of post-traumatic stress disorder (PTSD). The combination of experiencing a life-threatening complication and its management may culminate in psychological trauma. This systematic review examined the association between women's experience of severe maternal morbidity during labour, at the time of giving birth or within the first week following birth, and PTSD and its symptoms.MethodsRelevant literature was identified through multiple databases, including MEDLINE, PsycINFO, EMBASE, CINAHL, British Nursing Index, Web of Science, Cochrane library and the British Library, using predetermined search strategies. The search terms included "post-traumatic stress disorder", "PTSD", "stress disorders, post-traumatic", "maternal morbidity", "pregnancy complications" "puerperal disorders", "obstetric labo(u)r complication", "postpartum h(a)emorrhage", "eclampsia". Studies identified were categorised according to pre-defined inclusion and exclusion criteria. The quality of included studies was assessed using the relevant CASP appraisal tools.ResultsEleven primary studies met review criteria. Evidence of a relationship between severe maternal morbidity and PTSD/PTSD symptoms was inconsistent and findings varied between studies. Nevertheless, there is some evidence that severe pre-eclampsia is a risk factor for PTSD and its symptoms, an association possibly mediated by other factors such as fetal/neonatal condition.ConclusionsDespite the absence of robust evidence regarding the relationship between severe maternal morbidity and PTSD/PTSD symptoms, it is crucially important that clinicians and policy makers are aware of a potential higher risk of PTSD among women who experience severe morbidity. Further studies are now needed to confirm this risk as well as to understand underlying mechanisms in order to minimise the longer term psychiatric impact of severe maternal morbidity.