Dataset Information

The WHO maternal near-miss approach and the maternal severity index model (MSI): tools for assessing the management of severe maternal morbidity.

ABSTRACT:

Objectives

To validate the WHO maternal near-miss criteria and develop a benchmark tool for severe maternal morbidity assessments.

Methods

In a multicenter cross-sectional study implemented in 27 referral maternity hospitals in Brazil, a one-year prospective surveillance on severe maternal morbidity and data collection was carried out. Diagnostic accuracy tests were used to assess the validity of the WHO maternal near-miss criteria. Binary logistic regression was used to model the death probability among women with severe maternal complications and benchmark the management of severe maternal morbidity.

Results

Of the 82,388 women having deliveries in the participating health facilities, 9,555 women presented pregnancy-related complications, including 140 maternal deaths and 770 maternal near misses. The WHO maternal near-miss criteria were found to be accurate and highly associated with maternal deaths (Positive likelihood ratio 106.8 (95% CI 99.56-114.6)). The maternal severity index (MSI) model was developed and found to able to describe the relationship between life-threatening conditions and mortality (Area under the ROC curve: 0.951 (95% CI 0.909-0.993)).

Conclusion

The identification of maternal near-miss cases using the WHO list of pregnancy-related life-threatening conditions was validated. The MSI model can be used as a tool for benchmarking the performance of health services managing women with severe maternal complications and provide case-mix adjustment.

SUBMITTER: Souza JP

PROVIDER: S-EPMC3430678 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

The WHO maternal near-miss approach and the maternal severity index model (MSI): tools for assessing the management of severe maternal morbidity.

Souza Joao Paulo JP Cecatti Jose Guilherme JG Haddad Samira M SM Parpinelli Mary Angela MA Costa Maria Laura ML Katz Leila L Say Lale L

PloS one 20120829 8

<h4>Objectives</h4>To validate the WHO maternal near-miss criteria and develop a benchmark tool for severe maternal morbidity assessments.<h4>Methods</h4>In a multicenter cross-sectional study implemented in 27 referral maternity hospitals in Brazil, a one-year prospective surveillance on severe maternal morbidity and data collection was carried out. Diagnostic accuracy tests were used to assess the validity of the WHO maternal near-miss criteria. Binary logistic regression was used to model the ...[more]

PMID: 22952897

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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: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:ImportanceAlthough high body mass index (BMI) is associated with adverse birth outcomes, the association with severe maternal morbidity is unclear.ObjectiveTo examine the association between prepregnancy BMI and severe maternal morbidity.Design, setting, and participantsRetrospective population-based cohort study including all singleton hospital births in Washington State, 2004-2013. Demographic data and morbidity diagnoses were obtained from linked birth certificates and hospitalization files.ExposuresPrepregnancy BMI (weight in kilograms divided by height in meters squared) categories included underweight (<18.5), normal BMI (18.5-24.9), overweight (25.0-29.9), obesity class 1 (30.0-34.9), obesity class 2 (35.0-39.9), and obesity class 3 (≥40).Main outcomes and measuresComposite severe maternal morbidity or mortality included life-threatening conditions and conditions leading to serious sequelae (eg, amniotic fluid embolism, hysterectomy), complications requiring intensive care unit admission, and maternal death. Logistic regression was used to obtain adjusted odds ratios (ORs) and adjusted rate differences with 95% confidence intervals, adjusted for confounders (eg, maternal age and parity).ResultsOverall, 743 630 women were included in the study (mean age, 28.1 [SD, 6.0] years; 41.4% nulliparous). Prepregnancy BMI was distributed as follows: underweight, 3.2%; normal weight, 47.5%; overweight, 25.8%; obesity class 1, 13.1%; obesity class 2, 6.2%; and obesity class 3, 4.2%. Rates of severe maternal morbidity or mortality were 171.5, 143.2, 160.4, 167.9, 178.3 and 202.9 per 10 000 women, respectively. Adjusted ORs were 1.2 (95% CI, 1.0-1.3) for underweight women; 1.1 (95% CI, 1.1-1.2) for overweight women; 1.1 (95% CI, 1.1-1.2) for women with class 1 obesity; 1.2 (95% CI, 1.1-1.3) for women with class 2 obesity; and 1.4 (95% CI, 1.3-1.5) for women with class 3 obesity compared with women with normal BMI. Absolute risk increases (adjusted rate differences per 10 000 women, compared with women with normal BMI) were 28.8 (95% CI, 12.2-47.2) for underweight women, 17.6 (95% CI, 10.5-25.1) for overweight women, 24.9 (95% CI, 15.7-34.6) for women with class 1 obesity, 35.8 (95% CI, 23.1-49.5) for women with class 2 obesity, and 61.1 (95% CI, 44.8-78.9) for women with class 3 obesity.Conclusions and relevanceAmong pregnant women in Washington State, low and high prepregnancy BMI, compared with normal BMI, were associated with a statistically significant but small absolute increase in severe maternal morbidity or mortality.

Dataset Information

The WHO maternal near-miss approach and the maternal severity index model (MSI): tools for assessing the management of severe maternal morbidity.

Objectives

Methods

Results

Conclusion

Publications

The WHO maternal near-miss approach and the maternal severity index model (MSI): tools for assessing the management of severe maternal morbidity.

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