Delivery at an inadequate level of maternal care is associated with severe maternal morbidity.

BACKGROUND: Implementing levels of maternal care is one strategy proposed to reduce maternal morbidity and mortality. The levels of maternal care framework outline individual medical and obstetrical comorbidities, along with hospital resources required for individuals with these different comorbidities to deliver safely. The overall goal is to match individuals to hospitals so that all birthing people get appropriate resources and personnel during delivery to reduce maternal morbidity. OBJECTIVE: This study examined the association between delivery in a hospital with an inappropriate level of maternal care and the risk of experiencing severe maternal morbidity. STUDY DESIGN: The 40 birthing hospitals in Massachusetts were surveyed using the Centers for Disease Control and Prevention's Levels of Care Assessment Tool. We linked individual delivery hospitalizations from the Massachusetts Pregnancy to Early Life Longitudinal Data System to hospital-level data from the Levels of Care Assessment Tool surveys. Level of maternal care guidelines were used to outline 16 high-risk conditions warranting delivery at hospitals with resources beyond those considered basic (level I) obstetrical care. We then used the Levels of Care Assessment Tool assigned levels to determine if delivery occurred at a hospital that had the resources to meet an individual's needs (ie, if a patient received risk-appropriate care). We conducted our analyses in 2 stages. First, multivariable logistic regression models predicted if an individual delivered in a hospital that did not have the resources for their risk condition. The main explanatory variable of interest was if the hospital self-assessed their level of maternal care to be higher than the Levels of Care Assessment Tool assigned level. We then used logistic regression to examine the association between delivery at an inappropriate level hospital and the presence of severe maternal morbidity at delivery. RESULTS: Among 64,441 deliveries in Massachusetts from January 1 to December 31, 2019, 33.2% (21,415/64,441) had 1 or more of the 16 high-risk conditions that require delivery at a center designated as a level I or higher. Of the 21,415 individuals with a high-risk condition, 13% (2793/21,415), equating to 4% (2793/64,441) of the entire sample, delivered at an inappropriate level of maternal care. Birthing individuals with high-risk conditions who delivered at a hospital with an inappropriate level had elevated odds (adjusted odds ratio, 3.34; 95% confidence interval, 2.24-4.96) of experiencing severe maternal morbidity after adjusting for patient comorbidities, demographics, average hospital severe maternal morbidity rate, hospital level of maternal care, and geographic region. CONCLUSION: Birthing people who delivered in a hospital with risk-inappropriate resources were substantially more likely to experience severe maternal morbidity. Delivery in a hospital with a discrepancy in their self-assessment and the Levels of Care Assessment Tool assigned level substantially predicted delivery in a hospital with an inappropriate level of maternal care, suggesting inadequate knowledge of hospitals' resources and capabilities. Our data demonstrate the potential for the levels of maternal care paradigm to decrease severe maternal morbidity while highlighting the need for robust implementation and education to ensure everyone receives risk-appropriate care.

Risk of Severe Maternal Morbidity in Birthing People With Opioid Use Disorder.

INTRODUCTION: We examined severe maternal morbidity (SMM) among birthing people with opioid use disorder (OUD) and evaluated the extent to which differences in SMM exist by race and ethnicity. METHODS: We performed a retrospective cohort study using hospital discharge data for all Massachusetts births between 2016 and 2020. SMM rates for all SMM indicators, except transfusions, were computed for those diagnosed with and without OUD. Multivariable logistic regression was used to examine the association between OUD and SMM after adjusting for patient and hospital characteristics, including race and ethnicity. RESULTS: Among 324,012 childbirths, the SMM rate was 148 (95% confidence interval [CI]. 115-189) per 10,000 childbirths among birthing people with OUD compared with 88 (95% CI, 85-91) for those without. In adjusted models, both OUD and race/ethnicity were significantly associated with SMM. Birthing people with OUD had 2.12 (95% CI, 1.64-2.75) times the odds of experiencing an SMM event compared with those without. Non-Hispanic Black and Hispanic birthing people were at 1.85 (95% CI, 1.65-2.07) and 1.26 (95% CI, 1.13-1.41) higher odds of experiencing SMM compared with non-Hispanic White birthing people. Among birthing people with OUD, the odds of SMM were not significantly different between birthing people of color and non-Hispanic White individuals. CONCLUSIONS: Birthing people with OUD are at an elevated risk of SMM, underscoring the need for improved access to OUD treatment and increased support. Perinatal quality improvement collaboratives should measure SMM in bundles aimed at improving outcomes for birthing people with OUD.

Qualitative assessment of infant sleep practices and other risk factors of sudden infant death syndrome (SIDS) among mothers in Lusaka, Zambia.

BACKGROUND: There is very little information on the beliefs and perceptions of mothers about SIDS and its related risk factors in Africa. To better understand parental decisions about infant sleep practices and other risk factors for SIDS, we conducted focus group discussions (FGDs) with mothers of infants in Lusaka, Zambia. METHODS: FGDs involved 35 purposively sampled mothers aged 18-49 years. FGDs were conducted using a semi-structured interview guide in the local language, Nyanja. These were translated, transcribed verbatim into English, and then coded and analyzed using thematic analysis in NVivo 12. RESULTS: Six FGDs were conducted with 35 mothers in April-May 2021 across two study sites. FGD Participants were generally aware of sudden unexplained infant deaths, with several describing stories of apparent SIDS in the community. The side sleeping position was preferred and perceived to be safer for the infant with most believing the supine position posed an aspiration or choking risk to the infant. Bedsharing was also preferred and perceived to be convenient for breastfeeding and monitoring of the infant. Experienced family members such as grandmothers and mothers-in-law, and health care workers were frequently cited as sources of information on infant sleep position. A heightened awareness of the infant's sleeping environment was suggested as a mechanism to prevent SIDS and smothering. CONCLUSIONS: Decisions about bedsharing and infant sleep position were guided by maternal beliefs and perceptions about what is convenient for breastfeeding and safer for the infant. These concerns are vital to designing tailored interventions to address sleep-related sudden infant losses in Zambia. Public health campaigns with tailored messages that address these concerns are likely to be effective at ensuring optimal uptake of safe sleep recommendations.

Assessing infant sleep practices and other risk factors of SIDS in Zambia: a cross-sectional survey of mothers in Lusaka, Zambia.

BACKGROUND: Having infants sleep with their parents and sleeping face down or on their sides are the two most proximate and modifiable risk factors for sudden infant death syndrome (SIDS). Little is known about the burden of SIDS or the prevalence of these risk factors in Africa. Our primary objective was to determine the prevalence of modifiable risk factors of SIDS in Lusaka, Zambia. METHODS: We conducted cross-sectional surveys with recent mothers of infants aged < 1 year across two busy urban clinic sites in Lusaka, Zambia. We used log-binomial regression analysis to identify factors predictive of bedsharing and prone sleeping. RESULTS: Surveys were conducted with 478 mothers between April-May 2021. The sleep-related risk factors, bedsharing and side sleeping, were widely prevalent. 89.5% of respondents indicated that they share a bed with the infant during sleep, 73.0% preferred putting their baby on its side, and 19.9% preferred the prone position. Only 6.7% of respondents described using the safer, supine position. Age of infant was the only factor which was predictive of prone sleeping. Infants > 2 months old were twice as likely to be put to sleep in a prone position compared to infants aged less than 2 months old. Mothers reported that they rarely (24.1%) received advice from medical caregivers to use the supine position. Maternal use of alcohol (12.0%) and tobacco (0.8%) during pregnancy were uncommon. CONCLUSIONS: Bedsharing and placing the infant to sleep on the side were commonly reported among the mothers we interviewed. Whether this represents an opportunity to reduce SIDS in Zambia is unclear since accurate data on the burden of SIDS in Zambia is not available. There is a need for increased awareness of SIDS and more prospective data collection on its burden and related risk factors in these African populations.

A systematic review of the burden and risk factors of sudden infant death syndrome (SIDS) in Africa.

BACKGROUND: While sudden infant death syndrome (SIDS) has long been recognized as a leading preventable cause of infant mortality in high-income countries, little is known about the burden of SIDS in Africa. To address this knowledge gap, we conducted the first systematic review of SIDS-related publications in Africa. Our objective was to assess the prevalence of SIDS and its risk factors in Africa. METHODS: We systematically searched PubMed, Embase, Web of Science, Cochrane, and Google Scholar to identify studies published until December 26, 2020. Review authors screened titles and abstracts, and selected articles independently for full-text review. Risk of bias was assessed using the Newcastle Ottawa Scale (NOS) or a modification. Data on the proportion of infants who died of SIDS and reported prevalence of any risk factors were extracted using customized data extraction forms in Covidence. RESULTS: Our analysis rested on 32 peer-reviewed articles. Nine studies presented prevalence estimates on bedsharing and prone sleeping, suggesting near-universal bedsharing of infants with parents (range, 60 to 91.8%) and frequent use of the prone sleeping position (range, 26.7 to 63.8%). Eleven studies reported on the prevalence of SIDS, suggesting high rates of SIDS in Africa. The prevalence of SIDS ranged from 3.7 per 1000 live births in South Africa, 2.5 per 1000 live births in Niger, and 0.2 per 1000 live births in Zimbabwe. SIDS and other sudden infant deaths accounted for between 2.5 to 21% of infant deaths in South Africa and 11.3% in Zambia. CONCLUSIONS: Africa may have the highest global rate of SIDS with a high burden of associated risk factors. However, majority of the studies were from South Africa which limits generalizability of our findings to the entire continent. There is an urgent need for higher quality studies outside of South Africa to fill this knowledge gap. PROTOCOL REGISTRATION: Prospero Registration Number: CRD42021257261.