Dataset Information

Severe maternal morbidity in Zanzibar's referral hospital: Measuring the impact of in-hospital care.

ABSTRACT:

Objective

to analyse the impact of in-hospital care on severe maternal morbidity using WHO's near-miss approach in the low-resource, high mortality setting of Zanzibar's referral hospital.

Setting

Mnazi Mmoja Hospital, a tertiary care facility, in Zanzibar, Tanzania.

Methods

We identified all cases of morbidity and mortality in women admitted within 42 days after the end of pregnancy at Mnazi Mmoja Hospital in the period from April to October 2016. The severity of complications was classified using WHO's near-miss approach definitions: potentially life-threatening condition (PLTC), maternal near-miss (MNM) or maternal death (MD). Quality of in-hospital care was assessed using the mortality index (MI) defined as ratio between mortality and severe maternal outcome (SMO) where SMO = MD + MNM, cause-specific case facility rates and comparison with predicted mortality based on the Maternal Severity Index model.

Main outcomes

5551 women were included. 569 (10.3%) had a potentially life-threatening condition and 65 (1.2%) a severe maternal outcome (SMO): 37 maternal near-miss cases and 28 maternal deaths. The mortality index was high at 0.43 and similar for women who developed a SMO within 12 hours of admission and women who developed a SMO after 12 hours. A standardized mortality ratio of 6.03 was found; six times higher than that expected in moderate maternal mortality settings given the same severity of cases. Obstetric haemorrhage was found to be the main cause of SMO. Ruptured uterus and admission to ICU had the highest case-fatality rates. Maternal death cases seemed to have received essential interventions less often.

Conclusions

WHO's near-miss approach can be used in this setting. The high mortality index observed shows that in-hospital care is not preventing progression of disease adequately once a severe complication occurs. Almost one in two women experiencing life-threatening complications will die. This is six times higher than in moderate mortality settings.

SUBMITTER: Herklots T

PROVIDER: S-EPMC5568340 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Severe maternal morbidity in Zanzibar's referral hospital: Measuring the impact of in-hospital care.

Herklots Tanneke T van Acht Lieke L Meguid Tarek T Franx Arie A Jacod Benoit B

PloS one 20170823 8

<h4>Objective</h4>to analyse the impact of in-hospital care on severe maternal morbidity using WHO's near-miss approach in the low-resource, high mortality setting of Zanzibar's referral hospital.<h4>Setting</h4>Mnazi Mmoja Hospital, a tertiary care facility, in Zanzibar, Tanzania.<h4>Methods</h4>We identified all cases of morbidity and mortality in women admitted within 42 days after the end of pregnancy at Mnazi Mmoja Hospital in the period from April to October 2016. The severity of complicat ...[more]

PMID: 28832665

Similar Datasets

Project description:BackgroundIn the United States, approximately 52,000 women per year (accounting for 1.46% of births) experience severe maternal morbidity, which is defined as a complication that causes significant maternal harm or risk of death. It disproportionately affects women from racial or ethnic minorities, people with chronic diseases, and those with Medicaid or no insurance. Preconception care has been hailed as a strategy to improve pregnancy outcomes and reduce disparities, but its broad benefits for maternal outcomes have not been demonstrated.ObjectiveOur objective was to measure the association between preconception care and the odds of severe maternal morbidity among women with Medicaid.Study designThis is a secondary analysis of Medicaid claims using the Medicaid Analytic Extract files (2010-2012). We used the International Classification of Diseases, Ninth Revision codes, published by the US Office of Population Affairs' Quality Family Planning program to define 7 domains of preconception care. The primary outcome was maternal death within 12 weeks of delivery or severe maternal morbidity during birth hospitalization, defined by the presence of any diagnosis or procedure on the severe maternal morbidity International Classification of Diseases, Ninth Revision code list from the Centers for Disease Control and Prevention. Because this list may overestimate severe maternal morbidity by counting any blood transfusion, our secondary outcome used the same code list but without transfusion. We reviewed care in the year before conception and used logistic regression to estimate the association between each domain and severe maternal morbidity for all births to women enrolled in Medicaid and aged 15 to 45 years with births during 2012. We performed a subgroup analysis for women with chronic disease (kidney disease, hypertension, or diabetes).ResultsSevere maternal morbidity or death occurred in 26,285 births (1.74%) when including blood transfusions and 9,481 births (0.63%) when excluding transfusions. Receiving contraceptive services in the year before conception was associated with decreased odds of severe maternal morbidity (adjusted odds ratio, 0.92; 95% confidence interval, 0.88-0.95) and pregnancy test services were associated with increased odds (adjusted odds ratio, 1.08; 95% confidence interval, 1.01-1.14). In the primary analysis, no significant associations were observed for other preconception care domains. Among those women with at least 1 chronic disease, contraceptive care (adjusted odds ratio, 0.84; 95% confidence interval, 0.75-0.95) and routine physical or gynecologic exams (adjusted odds ratio, 0.79; 95% confidence interval, 0.71-0.88) were associated with decreased odds of severe maternal morbidity. Similar associations were found for severe maternal morbidity when excluding blood transfusion.ConclusionsContraceptive services in the year before conception and routine exams for women with chronic disease are associated with decreased odds of severe maternal morbidity or death for Medicaid enrollees.

Project description:Hospital discharge (HD) records contain important information that is used in public health and health care sectors. It is becoming increasingly common to rely mostly or exclusively on HD data to assess and monitor severe maternal morbidity (SMM) overall and by sociodemographic characteristics, including race and ethnicity. Limited studies have validated race and ethnicity in HD or provided estimates on the impact of assessing health differences in maternity populations. This study aims to determine the differences in race and ethnicity reporting between HD and birth certificate (BC) data for maternity hospitals in Florida and to estimate the impact of race and ethnicity misclassification on state- and hospital-specific SMM rates. We conducted a population-based retrospective study of live births using linked BC and HD records from 2016 to 2019 (n = 783,753). BC data were used as the gold standard. Race and ethnicity were categorized as non-Hispanic (NH)-White, NH-Black, Hispanic, NH-Asian Pacific Islander (API), and NH-American Indian or Alaskan Native (AIAN). Overall, race and ethnicity misclassification and its impact on SMM at the state- and hospital levels were estimated. At the state level, NH-AIAN women were the most misclassified (sensitivity: 28.2%; positive predictive value (PPV): 25.2%) and were commonly classified as NH-API (30.3%) in HD records. NH-API women were the next most misclassified (sensitivity: 57.3%; PPV: 85.4%) and were commonly classified as NH-White (5.8%) or NH-other (5.5%). At the hospital level, wide variation in sensitivity and PPV with negative skewing was identified, particularly for NH-White, Hispanic, and NH-API women. Misclassification did not result in large differences in SMM rates at the state level for all race and ethnicity categories except for NH-AIAN women (% difference 78.7). However, at the hospital level, Hispanic women had wide variability of a percent difference in SMM rates and were more likely to have underestimated SMM rates. Reducing race and ethnicity misclassification on HD records is key in assessing and addressing SMM differences and better informing surveillance, research, and quality improvement efforts.

Project description:BackgroundBirth hospital has recently emerged as a potential key contributor to disparities in severe maternal morbidity, but investigations on its contribution to racial and ethnic differences remain limited.ObjectiveWe leveraged statewide data from California to examine whether birth hospital explained racial and ethnic differences in severe maternal morbidity.Study designThis cohort study used data on all births at ≥20 weeks gestation in California (2007-2012). Severe maternal morbidity during birth hospitalization was measured using the Centers for Disease Control and Prevention index of having at least 1 of the 21 diagnoses and procedures (eg, eclampsia, blood transfusion, hysterectomy). Mixed-effects logistic regression models (ie, women nested within hospitals) were used to compare racial and ethnic differences in severe maternal morbidity before and after adjustment for maternal sociodemographic and pregnancy-related factors, comorbidities, and hospital characteristics. We also estimated the risk-standardized severe maternal morbidity rates for each hospital (N=245) and the percentage reduction in severe maternal morbidity if each group of racially and ethnically minoritized women gave birth at the same distribution of hospitals as non-Hispanic white women.ResultsOf the 3,020,525 women who gave birth, 39,192 (1.3%) had severe maternal morbidity (2.1% Black; 1.3% US-born Hispanic; 1.3% foreign-born Hispanic; 1.3% Asian and Pacific Islander; 1.1% white; 1.6% American Indian and Alaska Native, and Mixed-race referred to as Other). Risk-standardized rates of severe maternal morbidity ranged from 0.3 to 4.0 per 100 births across hospitals. After adjusting for covariates, the odds of severe maternal morbidity were greater among nonwhite women than white women in a given hospital (Black: odds ratio, 1.25; 95% confidence interval, 1.19-1.31); US-born Hispanic: odds ratio, 1.25; 95% confidence interval, 1.20-1.29; foreign-born Hispanic: odds ratio, 1.17; 95% confidence interval, 1.11-1.24; Asian and Pacific Islander: odds ratio, 1.26; 95% confidence interval, 1.21-1.32; Other: odds ratio, 1.31; 95% confidence interval, 1.15-1.50). Among the studied hospital factors, only teaching status was associated with severe maternal morbidity in fully adjusted models. Although 33% of white women delivered in hospitals with the highest tertile of severe maternal morbidity rates compared with 53% of Black women, birth hospital only accounted for 7.8% of the differences in severe maternal morbidity comparing Black and white women and accounted for 16.1% to 24.2% of the differences for all other racial and ethnic groups.ConclusionIn California, excess odds of severe maternal morbidity among racially and ethnically minoritized women were not fully explained by birth hospital. Structural causes of racial and ethnic disparities in severe maternal morbidity may vary by region, which warrants further examination to inform effective policies.

Project description:ObjectiveTo estimate whether severe maternal morbidity is associated with increased risk of psychiatric illness in the year after delivery hospital discharge.MethodsThis retrospective cohort study used International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes within Florida's Healthcare Cost and Utilization Project's databases. The first liveborn singleton delivery from 2005 to 2015 was included; women with ICD-9-CM codes for psychiatric illness or substance use disorder during pregnancy were excluded. The exposure was ICD-9-CM codes during delivery hospitalization of severe maternal morbidity, as per the Centers for Disease Control and Prevention. The primary outcome was ICD-9-CM codes in emergency department encounter or inpatient admission within 1 year of hospital discharge of composite psychiatric morbidity (suicide attempt, depression, anxiety, posttraumatic stress disorder, psychosis, acute stress reaction, or adjustment disorder). The secondary outcome was a composite of ICD-9-CM codes for substance use disorder. We compared women with severe maternal morbidity with those without severe maternal morbidity using multivariable logistic regression adjusting for sociodemographic factors and medical comorbidities. Cox proportional hazard models identified the highest risk period after hospital discharge for the primary outcome.ResultsA total of 15,510 women with severe maternal morbidity and 1,178,458 without severe maternal morbidity were included. Within 1 year of hospital discharge, 2.9% (n=452) of women with severe maternal morbidity had the primary outcome compared with 1.6% (n=19,279) of women without severe maternal morbidity, resulting in an adjusted odds ratio (aOR) 1.74 (95% CI 1.58-1.91). The highest risk interval was within 4 months of discharge (adjusted hazard ratio [adjusted HR] 2.53 [95% CI 2.05-3.12]). Most severe maternal morbidity conditions were associated with higher risk of postpartum psychiatric illness. Women with severe maternal morbidity had nearly twofold higher risk of postpartum substance use disorder (170 [1.1%] vs 6,861 [0.6%]; aOR 1.91 [95% CI 1.64-2.23]).ConclusionThough absolute numbers were modest, severe maternal morbidity was associated with increased risk of severe postpartum psychiatric morbidity and substance use disorder. The highest period of risk extended to 4 months after hospital discharge.

Project description:BackgroundCritical incident audit and feedback are recommended interventions to improve the quality of obstetric care. To evaluate the effect of audit at district level in Thyolo, Malawi, we assessed the incidence of facility-based severe maternal complications (severe acute maternal morbidity (SAMM) and maternal mortality) during two years of audit and feedback.Methodology/principal findingsBetween September 2007 and September 2009, we included all cases of maternal mortality and SAMM that occurred in Thyolo District Hospital, the main referral facility in the area, using validated disease-specific criteria. During two- to three-weekly audit sessions, health workers and managers identified substandard care factors. Resulting recommendations were implemented and followed up. Feedback was given during subsequent sessions. A linear regression analysis was performed on facility-based severe maternal complications. During the two-year study period, 386 women were included: 46 died and 340 sustained SAMM, giving a case fatality rate of 11.9%. Forty-five cases out of the 386 inclusions were audited in plenary with hospital staff. There was a reduction of 3.1 women with severe maternal complications per 1000 deliveries in the district health facilities, from 13.5 per 1000 deliveries in the beginning to 10.4 per 1000 deliveries at the end of the study period. The incidence of uterine rupture and major obstetric hemorrhage reduced considerably (from 3.5 to 0.2 and from 5.9 to 2.6 per 1000 facility deliveries respectively).ConclusionsOur findings indicate that audit and feedback have the potential to reduce serious maternal complications including maternal mortality. Complications like major hemorrhage and uterine rupture that require relatively straightforward intrapartum emergency management are easier to reduce than those which require uptake of improved antenatal care (eclampsia) or timely intravenous medication or HIV-treatment (peripartum infections).

Dataset Information

Severe maternal morbidity in Zanzibar's referral hospital: Measuring the impact of in-hospital care.

Objective

Setting

Methods

Main outcomes

Conclusions

Publications

Severe maternal morbidity in Zanzibar's referral hospital: Measuring the impact of in-hospital care.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets