Dataset Information

Assessment of Incidence and Factors Associated With Severe Maternal Morbidity After Delivery Discharge Among Women in the US.

ABSTRACT:

Importance

Previous efforts to examine severe maternal morbidity (SMM) in the US have focused on delivery hospitalizations. Little is known about de novo SMM that occurs after delivery discharge.

Objective

To investigate the incidence, timing, factors, and maternal characteristics associated with de novo SMM after delivery discharge among women in the US.

Design, setting, and participants

In this retrospective cohort study, data from the IBM MarketScan Multi-State Medicaid database and the IBM MarketScan Commercial Claims and Encounters database were used to construct a sample of women aged 15 to 44 years who delivered between January 1, 2010, and September 30, 2014. Severe maternal morbidity was reported by the timing of diagnosis, and the associated maternal characteristics were examined. Women in the Medicaid and commercial insurance sample were classified into 3 distinct outcome groups: (1) those without any SMM during the delivery hospitalization and the postdelivery period (reference group), (2) those who exhibited at least 1 factor associated with SMM during the delivery hospitalization, and (3) those who exhibited any factor associated with de novo SMM after delivery discharge (defined as SMM that was first diagnosed in the inpatient setting during the 6 weeks [or 42 days] after discharge from the delivery hospitalization, conditional on no factor associated with SMM being identified during delivery). Data were analyzed from February to July 2020.

Exposures

Timing of SMM diagnosis.

Main outcomes and measures

Women with SMM were identified using diagnosis and procedure codes from the International Classification of Diseases, Ninth Revision, Clinical Modification for the 21 factors associated with SMM that were developed by the Centers for Disease Control and Prevention.

Results

A total of 2 667 325 women in the US with delivery hospitalizations between 2010 and 2014 were identified; of those, 809 377 women (30.3%) had Medicaid insurance (30.3%; mean [SD] age, 25.6 [5.5] years; 51.1% White), and 1 857 948 women (69.7%; mean [SD] age, 30.6 [5.4] years; 36.4% from the southern region of the US) had commercial insurance. Among those with Medicaid insurance, 17?584 women (2.2%) experienced SMM during the delivery hospitalization, and 3265 women (0.4%) experienced de novo SMM after delivery discharge. Among those with commercial insurance, 32?079 women (1.7%) experienced SMM during the delivery hospitalization, and 5275 women (0.3%) experienced de novo SMM after hospital discharge. A total of 5275 SMM cases (14.1%) and 3265 SMM cases (15.7%) among women with commercial and Medicaid insurance, respectively, developed de novo within 6 weeks after hospital discharge; of those, 3993 cases (75.7%) in the commercial insurance cohort and 2399 cases (73.5%) in the Medicaid cohort were identified in the first 2 weeks after discharge. The most common factors associated with SMM varied based on the timing of diagnosis. In the Medicaid population, non-Hispanic Black women (adjusted odds ratio [aOR],?1.53; 95% CI, 1.48-1.58), Hispanic women (aOR,?1.46; 95% CI, 1.37-1.57), and women of other races or ethnicities (aOR,?1.40; 95% CI, 1.33-1.47) had higher rates of SMM during delivery hospitalization than non-Hispanic White women; however, only the disparity between Black and White women (aOR,?1.69; 95% CI, 1.57-1.81) persisted into the postdischarge period.

Conclusions and relevance

In this study, 14.1% of SMM cases in the Medicaid cohort and 15.7% of SMM cases in the commercial insurance cohort first occurred after the delivery hospitalization, with notable disparities in factors and maternal characteristics associated with the development of SMM. These findings suggest a need to expand the focus of SMM assessment to the postdelivery discharge period.

SUBMITTER: Chen J

PROVIDER: S-EPMC7856547 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Assessment of Incidence and Factors Associated With Severe Maternal Morbidity After Delivery Discharge Among Women in the US.

Chen Jiajia J Cox Shanna S Kuklina Elena V EV Ferre Cynthia C Barfield Wanda W Li Rui R

JAMA network open 20210201 2

<h4>Importance</h4>Previous efforts to examine severe maternal morbidity (SMM) in the US have focused on delivery hospitalizations. Little is known about de novo SMM that occurs after delivery discharge.<h4>Objective</h4>To investigate the incidence, timing, factors, and maternal characteristics associated with de novo SMM after delivery discharge among women in the US.<h4>Design, setting, and participants</h4>In this retrospective cohort study, data from the IBM MarketScan Multi-State Medicaid ...[more]

PMID: 33528553

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Project description:ObjectivesTo perform a multidimensional assessment of women who experienced severe maternal morbidity (SMM) and its short-term and medium-term impact on the lives and health of women and their children.DesignA retrospective cohort study.SettingA tertiary maternity hospital from the southeast region of Brazil.ParticipantsThe exposed population was selected from intensive care unit admissions if presenting any diagnostic criteria for SMM. Controls were randomly selected among women without SMM admitted to the same maternity and same time of childbirth.Primary and secondary outcome variablesValidated tools were applied, addressing post-traumatic stress disorder (PTSD) and quality of life (SF-36) by phone, and then general and reproductive health, functioning (WHO Disability Assessment Schedule), sexual function (Female Sexual Function Index (FSFI)), substance abuse (Alcohol, Smoking and Substance Involvement Screening Test 2.0) and growth/development (Denver Developmental Screening Test) of children born in the index pregnancy in a face-to-face interview.ResultsAll instruments were applied to 638 women (315 had SMM; 323 were controls, with the assessment of 264 and 307 children, respectively). SF-36 score was significantly lower in the SMM group, while PTSD score was similar between groups. Women who had SMM became more frequently sterile, had more abnormal clinical conditions after the index pregnancy and a higher score for altered functioning, while proportions of FSFI score or any drug use were similar between groups. Furthermore, children from the SMM group were more likely to have weight (threefold) and height (1.5 fold) for age deficits and also impaired development (1.5-fold).ConclusionSMM impairs some aspects of the lives of women and their children. The focus should be directed towards monitoring these women and their children after birth, ensuring accessibility to health services and reducing short-term and medium-term repercussions on physical, reproductive and psychosocial health.

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:BackgroundDischarge diagnoses are used to track national trends and patterns of maternal morbidity. There are few data regarding the validity of the International Classification of Diseases (ICD) codes used for this purpose. The goal of our study was to try to better understand the validity of administrative data being used to monitor and assess trends in morbidity.MethodsHospital stay billing records were queried to identify all delivery admissions at the Massachusetts General Hospital for the time period 2001 to 2011 and the University of Michigan Health System for the time period 2005 to 2011. From this, we identified patients with ICD-9-Clinical Modification (CM) diagnosis and procedure codes indicative of severe maternal morbidity. Each patient was classified with 1 of 18 different medical/obstetric categories (conditions or procedures) based on the ICD-9-CM code that was recorded. Within each category, 20 patients from each institution were selected at random, and the corresponding medical charts were reviewed to determine whether the ICD-9-CM code was assigned correctly. The percentage of correct codes for each of 18 preselected clinical categories was calculated yielding a positive predictive value (PPV) and 99% confidence interval (CI).ResultsThe overall number of correctly assigned ICD-9-CM codes, or PPV, was 218 of 255 (86%; CI, 79%-90%) and 154 of 188 (82%; CI, 74%-88%) at Massachusetts General Hospital and University of Michigan Health System, respectively (combined PPV, 372/443 [84%; CI, 79-88%]). Codes within 4 categories (Hysterectomy, Pulmonary edema, Disorders of fluid, electrolyte and acid-base balance, and Sepsis) had a 99% lower confidence limit ≥75%. Codes within 8 additional categories demonstrated a 99% lower confidence limit between 74% and 50% (Acute respiratory distress, Ventilation, Other complications of obstetric surgery, Disorders of coagulation, Cardiomonitoring, Acute renal failure, Thromboembolism, and Shock). Codes within 6 clinical categories demonstrated a 99% lower confidence limit <50% (Puerperal cerebrovascular disorders, Conversion of cardiac rhythm, Acute heart failure [includes arrest and fibrillation], Eclampsia, Neurotrauma, and Severe anesthesia complications).ConclusionsICD-9-CM codes capturing severe maternal morbidity during delivery hospitalization demonstrate a range of PPVs. The PPV was high when objective supportive evidence, such as laboratory values or procedure documentation supported the ICD-9-CM code. The PPV was low when greater judgment, interpretation, and synthesis of the clinical data (signs and symptoms) was required to support a code, such as with the category Severe anesthesia complications. As a result, these codes should be used for administrative research with more caution compared with codes primarily defined by objective data.

Project description:ImportanceSevere maternal morbidity is defined by potentially life-threatening conditions. The association between the number of severe maternal morbidity (SMM) indicators and maternal death is not known.ObjectiveTo quantify the association between the number of SMM indicators and maternal mortality.Design, setting, and participantsThis population-based cohort study used provincial databases for data on all live birth and stillbirth hospital deliveries among women in Ontario, Canada, from April 1, 2002, to February 18, 2017. Excluded from this cohort were those with invalid identification number, non-Ontario residency, maternal age younger than 10 years or older than 55 years or unknown, or gestational age fewer than 20 weeks or unknown as well as any out-of-hospital births, ectopic pregnancies, or spontaneous or induced abortions.ExposuresNumber of SMM indicators identified between 20 weeks' gestation and 42 days after the index delivery.Main outcomes and measuresMaternal death occurring from delivery to 42 days after the index delivery.ResultsOf the 1?953?943 total births among 1?211?396 women, 181 maternal deaths occurred within 42 days after birth, a rate of 9.3 per 100?000 births. Of the 181 women who died, 123 (68.0%) had at least 1 SMM indicator compared with 1.7% (33?152) of women who survived. Standardized differences suggested that women who died, compared with the women who lived, were older (mean [SD] age, 31.0 [6.2] years vs 30.1 [5.5] years; standardized difference, 0.15) and more likely to reside in a lower-income area (99 [54.7%] vs 832?231 [42.6%]; standardized difference, 0.24), be nulliparous (93 [51.4%] vs 880?386 [45.1%]; standardized difference, 0.13), and be of Afro-Caribbean origin (12 [6.6%] vs 64?948 [3.3%]; standardized difference, 0.15). The most frequent SMM indicators were intensive care unit admission (81 [44.8%]), invasive ventilation (77 [42.5%]), cardiac conditions (69 [38.1%]), complications of obstetric surgery or procedures (32 [17.7%]), and postpartum hemorrhage with blood transfusion (31 [17.1%]). The rate of maternal mortality increased exponentially with the number of SMM indicators: 0 indicators (3.0 per 100?000 births), 1 (71.7 per 100?000 births), 2 (385.9 per 100?000 births), 3 (1274.2 per 100?000 births), 4 (2236.8 per 100?000 births), 5 (4285.7 per 100?000 births), and 6 or more (9422.5 per 100?000 births). Adjusted relative risks for maternal death ranged from 20.1 (95% CI, 11.6-34.7) with 1 SMM indicator to 2192.0 (95% CI, 1287.0-3735.0) with 6 or more SMM indicators compared with 0 indicators.Conclusions and relevanceMaternal death may be associated with the number of SMM indicators and occur in certain identifiable groups of women; targeting preventable SMM indicators or limiting their progression may reduce the number of maternal deaths.

Project description:BackgroundSevere maternal morbidity (SMM) is a key indicator of maternal health. Generally explored without distinction by the timing of the event, it mainly reflects postpartum SMM. Although antepartum (pre-labour) SMM presents specific challenges in its need to optimise the risk-benefit balance for both mother and foetus, its features remain inadequately explored.ObjectivesWe explored risk factors of antepartum SMM and described adverse delivery and neonatal outcomes associated with antepartum SMM.MethodsWe designed a population-based nested case-control study based on data from the EPIMOMS study (119 maternity hospitals of 6 French regions, 2012-2013, N = 182,309 deliveries in the source cohort). This study included all women with antepartum SMM (cases, n = 601) compared to a randomly selected sample of women who gave birth without SMM in the same hospitals (controls, n = 3651). Antepartum SMM risk factors were identified with multivariable logistic regression following imputations for missing data.ResultsAntepartum SMM complicated 0.33% (95% confidence interval [CI] 0.30, 0.36) of pregnancies. Antepartum SMM risk factors were maternal age ≥35 years (adjusted odds ratio [OR] 1.55, 95% CI 1.22, 1.97), increased body mass index (OR for 5 kg/m2 increase, 1.24, 95% CI 1.14, 1.36), maternal birth in sub-Saharan Africa (OR 1.80, 95% CI 1.29, 2.53), pre-existing medical condition (OR 2.56, 95% CI 1.99, 3.30), nulliparity (OR 2.26, 95% CI 1.83, 2.80), previous pregnancy-related hypertensive disorders (OR 4.94, 95% CI 3.36, 7.26), multiple pregnancy (OR 5.79, 95% CI 3.75, 7.26), irregular prenatal care (OR 1.86, 95% CI 1.27, 2.72). For women with antepartum SMM, preterm delivery, neonatal mortality and transfer to the neonatal intensive care unit were 10 times more frequent than for controls. Emergency caesarean and general anaesthesia were more frequent in women with antepartum SMM.ConclusionsAntepartum SMM is rare but associated with increased rates of adverse delivery and neonatal outcomes.

Project description:PurposeThe objective of this research was to examine the epidemiology of maternal sepsis in Canada.MethodsWe conducted a population-based retrospective cohort study of women (≥ 20 weeks gestation) hospitalized for delivery in all Canadian hospitals (excluding Quebec) between 1 April 2004 and 31 March 2017. Data were obtained from the national Canadian Institute for Health Information database and sepsis cases were identified via International Classification of Diseases, Tenth Revision, Canada (ICD-10-CA) codes. Our primary outcome was the number of hospitalizations for delivery associated with maternal sepsis. We further explored associations between patient characteristics, obstetric procedures/conditions, medical conditions, and maternal sepsis. Associations were presented using odds ratios (ORs) and 95% confidence intervals (CIs).ResultsThere were 4,183 cases of sepsis in 3,653,783 hospitalizations for delivery during the study period, with an incidence of 114 (95% CI, 111 to 118) per 100,000 hospitalizations and a mortality rate of 0.5%. Annual sepsis rates per 100,000 hospitalizations ranged from a high of 160 (95% CI, 146 to 177) in 2004 to 94 (95% CI, 83 to 106) in 2011. Highest regional rates were observed in the Territories (224 per 100,000). Severe sepsis was seen in 14% (n = 568) of all patients with sepsis, which was one or more of septic shock (15%; n = 85), organ failure (61%; n = 345), intensive care unit admission (78%; n = 443), or mortality (3%; n = 19). Multivariable models showed that postpartum hemorrhage (OR, 2.9; 95% CI, 2.7 to 3.2), Cesarean delivery (OR, 3.2; 95% CI, 3.0 to 3.5), anemia (OR, 3.9; 95% CI, 3.5 to 4.3), hysterectomy (OR, 4.9; 95% CI, 3.6 to 6.6), chorioamnionitis (OR, 7.6; 95% CI, 6.9 to 8.3), as well as cardiorespiratory, renal and liver conditions were associated with maternal sepsis.ConclusionMaternal sepsis rates have been decreasing in Canada but remain higher than those in the UK and USA. Our study explored associations with maternal sepsis and shows that one in seven women with sepsis develop severe sepsis-related morbidity, which warrants risk stratification and health policy changes.

Project description:Severe maternal morbidity conditions such as sepsis, embolism and cardiac arrest during the delivery hospitalization period can lead to extended length of hospital stays, life-long maternal health problems, and high medical costs. Most importantly, these conditions also contribute to the risk of maternal death. This population-based observational study proposed and evaluated the impact of expanding the Centers for Disease Control and Prevention (CDC) measure of severe maternal morbidity by including additional comorbidities and intensive care admissions during delivery hospitalizations and examined associated factors. A New York State linked hospitalization and birth record database was used. Study participants included all New York State female residents, ages 10 to 55 years, who delivered a live infant in a New York acute care hospital between 2008 and 2013, inclusive. Incidence trends for both severe maternal morbidity measures were evaluated longitudinally. Associations between covariates and the two severe maternal morbidity measures were examined with logistic regression models, solved using generalized estimating equations and stratified by method of delivery. The New York expanded severe maternal morbidity measure identified 34,478 cases among 1,352,600 hospital deliveries (estimated incidence 2.55%) representing a 3% increase in the number of cases compared to the CDC measure. Both estimates increased over the study period (p<0.001). Covariates with an odds ratio > 1.5 included most measured comorbidities (e.g., pregnancy-induced hypertension, placentation disorder), multiple births, preterm birth, no prenatal care, hospitalization prior to delivery, higher levels of perinatal care birthing facilities and race/ethnicity. Expanding the measure for severe maternal morbidity during delivery to capture intensive care admissions provides a more sensitive estimate of disease burden. Perinatal regionalization in New York appears effective in routing high risk pregnancies to higher levels of perinatal care birthing facilities.

Project description:BackgroundThe black-white maternal mortality disparity is the largest disparity among all conventional population perinatal health measures, and the mortality gap between black and white women in New York City has nearly doubled in recent years. For every maternal death, 100 women experience severe maternal morbidity, a life-threatening diagnosis, or undergo a life-saving procedure during their delivery hospitalization. Like maternal mortality, severe maternal morbidity is more common among black than white women. A significant portion of maternal morbidity and mortality is preventable, making quality of care in hospitals a critical lever for improving outcomes. Hospital variation in risk-adjusted severe maternal morbidity rates exists. The extent to which variation in hospital performance on severe maternal morbidity rates contributes to black-white disparities in New York City hospitals has not been studied.ObjectiveWe examined the extent to which black-white differences in severe maternal morbidity rates in New York City hospitals can be explained by differences in the hospitals in which black and white women deliver.Study designWe conducted a population-based study using linked 2011-2013 New York City discharge and birth certificate datasets (n = 353,773 deliveries) to examine black-white differences in severe maternal morbidity rates in New York City hospitals. A mixed-effects logistic regression with a random hospital-specific intercept was used to generate risk-standardized severe maternal morbidity rates for each hospital (n = 40). We then assessed differences in the distributions of black and white deliveries among these hospitals.ResultsSevere maternal morbidity occurred in 8882 deliveries (2.5%) and was higher among black than white women (4.2% vs 1.5%, P < .001). After adjustment for patient characteristics and comorbidities, the risk remained elevated for black women (odds ratio, 2.02; 95% confidence interval, 1.89-2.17). Risk-standardized severe maternal morbidity rates among New York City hospitals ranged from 0.8 to 5.7 per 100 deliveries. White deliveries were more likely to be delivered in low-morbidity hospitals: 65% of white vs 23% of black deliveries occurred in hospitals in the lowest tertile for morbidity. We estimated that black-white differences in delivery location may contribute as much as 47.7% of the racial disparity in severe maternal morbidity rates in New York City.ConclusionBlack mothers are more likely to deliver at higher risk-standardized severe maternal morbidity hospitals than are white mothers, contributing to black-white disparities. More research is needed to understand the attributes of high-performing hospitals and to share best practices among hospitals.

Dataset Information

Assessment of Incidence and Factors Associated With Severe Maternal Morbidity After Delivery Discharge Among Women in the US.

Importance

Objective

Design, setting, and participants

Exposures

Main outcomes and measures

Results

Conclusions and relevance

Publications

Assessment of Incidence and Factors Associated With Severe Maternal Morbidity After Delivery Discharge Among Women in the US.

Similar Datasets

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