Faculty Bibliography

IMPORTANCE/UNASSIGNED:Preterm birth (PTB) (gestational age <37 weeks) is a major cause of infant mortality and morbidity in the US and is marked by racial and ethnic and socioeconomic inequities. Further research is needed to elucidate the association of risk and protective factors with trends in PTB rates and with related inequities. OBJECTIVE/UNASSIGNED:To describe the association of PTB rates with inequities as well as related risk and protective factors over the past decade in a US population-based cohort. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This retrospective cohort study of singleton live births in California from January 1, 2011, to December 31, 2022, was conducted using vital statistics records and hospital records. The cohort included births with a gestational age of 22 to 44 weeks. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Preterm birth rates by racial and ethnic group and by public and nonpublic insurance (considered as a proxy for socioeconomic status) were studied across years. Log-linear regression (relative risks with 95% CIs) was used to evaluate risk and protective factors within groups. Associations of PTB rates with risk and protective factors were assessed. RESULTS/UNASSIGNED:This study included 5 431 018 singleton live births to individuals who identified as American Indian or Alaska Native (0.3%), Asian (14.2%), Black (4.9%), Hispanic (47.8%), or White (27.0%). A total of 43.1% of births were to individuals with public health insurance. From 2011 to 2022, the overall PTB rate increased from 6.8% to 7.5% (change [SE], 10.6% [0.6%]; z score of 18.5; P < .001). Differences in PTB rates and associated changes were observed for racial and ethnic groups and insurance groups. For example, 2022 PTB rates ranged from 5.8% among White individuals with nonpublic insurance to 11.3% among Black individuals with public health insurance. From 2011 to 2022, PTB rates decreased from 9.1% to 8.8% (change [SE], -3.5% [4.2]; z score of -0.8; P = .42) among Black individuals with nonpublic insurance, whereas they increased from 6.4% to 9.5% (change [SE], 49.8% [16.0%]; z score of 3.1; P = .002) among American Indian or Alaska Native individuals with nonpublic insurance. Increases in some risk factors (eg, preexisting diabetes, sexually transmitted infections, mental health conditions) were observed in most groups, and decreases in some protective factors (eg, participation in the California Women, Infants, and Children program) (P for trend < .001 from 2011 to 2021) were observed mostly in low-income groups. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this cohort study of singleton live births in California, PTB rates increased in many groups. Persistent racial and ethnic and socioeconomic inequities were also observed. Changes in risk and protective factors provided clues to patterns of PTB. These data point to an urgent need to address factors associated with PTB at both the individual and population levels.

OBJECTIVES/OBJECTIVE:Data on inpatient safety are documented by hospital staff through incident reporting (IR) systems. Safety observations from families or patients are rarely captured. The Family Input for Quality and Safety (FIQS) study created a mobile health tool for pediatric patients and their families to anonymously report safety observations in real time during hospitalization. The study objectives were to describe these observations and identify domains salient to safety. METHODS:In this observational study, we analyzed pediatric patient safety reports from June 2017 to April 2018. Participants were: English-speaking family members and hospitalized patients ≥13 years old. The analysis had two stages: 1) assessment of whether narratives met established safety event criteria and whether there were companion IRs; 2) thematic analysis to identify domains. RESULTS:Of 248 enrolled participants, 58 submitted 120 narrative reports. Of the narratives, 68 (57%) met safety event criteria, while only one (0.8%) corresponded to a staff-reported IR. 25% of narratives shared positive feedback about patient safety efforts; 75% shared constructive feedback. We identified domains particularly salient to safety: 1) patients and families as safety actors; 2) emotional safety; 3) system-centered care; and 4) shared safety domains, including medication, communication, and environment of care. Some domains capture data that is otherwise difficult to obtain (#1-3), while others fit within standard healthcare safety domains (#4). CONCLUSIONS:Patients and families observe and report salient safety events that can fill gaps in IR data. Healthcare leaders should consider incorporating patient and family observations-collected with an option for anonymity and eliciting both positive and constructive comments.

PURPOSE/OBJECTIVE:Recent studies have demonstrated an increased risk of severe maternal morbidity (SMM) for people living in rural versus urban counties. Studies have not considered rurality at the more nuanced subcounty census-tract level. This study assessed the relationship between census-tract-level rurality and SMM for birthing people in California. METHODS:We used linked vital statistics and hospital discharge records for births between 1997 and 2018 in California. SMM was defined by at least 1 of 21 potentially fatal conditions and lifesaving procedures. Rural-Urban Commuting Area codes were used to characterize census tract rurality dichotomously (2-category) and at 4 levels (4-category). Covariates included sociocultural-demographic, pregnancy-related, and neighborhood-level factors. We ran a series of mixed-effects logistic regression models with tract-level clustering, reporting risk ratios and 95% confidence intervals (CIs). We used the STROBE reporting guidelines. FINDINGS/RESULTS:Of 10,091,415 births, 1.1% had SMM. Overall, 94.3% of participants resided in urban/metropolitan and 5.7% in rural tracts (3.9% micropolitan, 0.9% small town, 0.8% rural). In 2-category models, the risk of SMM was 10% higher for birthing people in rural versus urban tracts (95% CI: 6%, 13%). In 4-category models, the risk of SMM was 16% higher in micropolitan versus metropolitan tracts (95% CI: 12%, 21%). CONCLUSION/CONCLUSIONS:The observed rurality and SMM relationship was driven by living in a micropolitan versus metropolitan tract. Increased risk may result from resource access inequities within suburban areas. Our findings demonstrate the importance of considering rurality at a subcounty level to understand locality-related inequities in the risk of SMM.

Objective Severe maternal morbidity (SMM) is increasing and characterized by substantial racial and ethnic disparities. Analyzing trends and disparities across time by etiologic or organ system groups instead of an aggregated index may inform specific, actionable pathways to equitable care. We explored trends and racial and ethnic disparities in seven SMM categories at childbirth hospitalization. Study Design We analyzed California birth cohort data on all live and stillbirths ≥20 weeks gestation from 1997-2017 (n=10,580,096) using the Centers for Disease Control and Prevention's SMM index. Cases were categorized into seven non-mutually exclusive indicator categories (cardiac, renal, respiratory, hemorrhage, sepsis, other obstetric, and other medical SMM). We compared prevalence and trends in SMM indicator categories overall and by racial and ethnic group using logistic and linear regression. Results SMM occurred in 1.16% of births and non-transfusion SMM in 0.54%. Hemorrhage SMM occurred most frequently (27 per 10,000 births), followed by other obstetric (11), respiratory (7), and sepsis, cardiac, and renal SMM (5). Hemorrhage, renal, respiratory, and sepsis SMM increased over time for all racial and ethnic groups. The largest disparities were for Black individuals, including over three-fold increased odds of other medical SMM. Renal and sepsis morbidity had the largest relative increases over time (717% and 544%). Sepsis and hemorrhage SMM had the largest absolute changes over time (17 per 10,000 increase). Disparities increased over time for respiratory SMM among Black, US-born Hispanic, and non-US-born Hispanic individuals and for sepsis SMM among Asian or Pacific Islander individuals. Disparities decreased over time for sepsis SMM among Black individuals yet remained substantial. Conclusion Our research further supports the critical need to address SMM and disparities as a significant public health priority in the United States and suggests that examining SMM subgroups may reveal helpful nuance for understanding trends, disparities and potential needs for intervention.

BACKGROUND:Perceived insufficient milk is a primary reason for early breastfeeding cessation. Some breastfeeding mothers may use galactagogues (ie, foods, beverages, herbal supplements, and pharmaceuticals) to try to increase milk supply. However, milk production requires frequent and effective milk removal, and there is limited evidence on the safety and efficacy of galactagogues. Additional research on the use of galactagogues is needed to inform breastfeeding support. OBJECTIVE:Describe the prevalence of use and perceived effects of galactagogues and compare galactagogue use by maternal characteristics. DESIGN:Cross-sectional online survey. PARTICIPANTS/SETTING:A convenience sample of 1,294 adult women breastfeeding a singleton child and living in the United States were recruited using paid Facebook advertisements between December 2020 and February 2021. MAIN OUTCOME MEASURES:Self-reported current or previous use of galactagogues and their perceived effects on milk production. STATISTICAL ANALYSES PERFORMED:test of independence and independent t tests compared galactagogue use by select maternal characteristics. RESULTS:More than half of participants (57.5%) reported using any galactagogues, 55.4% reported consuming foods or beverages, and 27.7% reported using herbal supplements. Few participants (1.4%) reported using pharmaceuticals. Participants reported varying effects of specific galactagogues on milk production. Reported galactagogue use was higher among participants who reported first-time breastfeeding (yes: 66.7% vs no: 49.3%; P < 0.001), breastfeeding pumped milk (yes: 63.1% vs no: 50.4%; P < 0.001), formula supplementation (yes: 66.8% vs no: 50.4%; P < 0.001), and perceived insufficient milk (yes: 78.8% vs no: 53.8%; P < 0.001). CONCLUSIONS:Breastfeeding mothers in the United States commonly reported using galactagogues to increase milk production, highlighting the need for research on the safety and efficacy of galactagogues and enhanced breastfeeding support.

BACKGROUND:Evidence is limited on nurse staffing in maternity units. PURPOSE/OBJECTIVE:To estimate the relationship between hospital characteristics and adherence with Association of Women's Health, Obstetric and Neonatal Nurses nurse staffing guidelines. METHODS:We enrolled 3,471 registered nurses in a cross-sectional survey and obtained hospital characteristics from the 2018 American Hospital Association Annual Survey. We used mixed-effects linear regression models to estimate associations between hospital characteristics and staffing guideline adherence. FINDINGS/RESULTS:Overall, nurses reported strong adherence to AWHONN staffing guidelines (rated frequently or always met by ≥80% of respondents) in their hospitals. Higher birth volume, having a neonatal intensive care unit, teaching status, and higher percentage of births paid by Medicaid were all associated with lower mean guideline adherence scores. DISCUSSION AND CONCLUSIONS/CONCLUSIONS:Important gaps in staffing were reported more frequently at hospitals serving patients more likely to have medical or obstetric complications, leaving the most vulnerable patients at risk.

BACKGROUND:Analyses of factors that determine quality of perinatal care consistently rely on clinical markers, while failing to assess experiential outcomes. Understanding how model of care and birth setting influence experiences of respect, autonomy, and decision making, is essential for comprehensive assessment of quality. METHODS:We examined responses (n = 1771) to an online cross-sectional national survey capturing experiences of perinatal care in the United States. We used validated patient-oriented measures and scales to assess four domains of experience: (1) decision-making, (2) respect, (3) mistreatment, and (4) time spent during visits. We categorized the provider type and birth setting into three groups: midwife at community birth, midwife at hospital-birth, and physician at hospital-birth. For each group, we used multivariate logistic regression, adjusted for demographic and clinical characteristics, to estimate the odds of experiential outcomes in all the four domains. RESULTS:Compared to those cared for by physicians in hospitals, individuals cared for by midwives in community settings had more than five times the odds of experiencing higher autonomy (aOR: 5.22, 95% CI: 3.65-7.45), higher respect (aOR: 5.39, 95% CI: 3.72-7.82) and lower odds of mistreatment (aOR: 0.16, 95% CI: 0.10-0.26). We found significant differences across birth settings: participants cared for by midwives in the community settings had significantly better experiential outcomes than those in the hospital settings: high- autonomy (aOR: 2.97, 95% CI: 2.66-4.27), respect (aOR: 4.15, 95% CI: 2.81-6.14), mistreatment (aOR: 0.20, 95% CI: 0.11-0.34), time spent (aOR: 8.06, 95% CI: 4.26-15.28). CONCLUSION/CONCLUSIONS:Participants reported better experiential outcomes when cared for by midwives than by physicians. And for those receiving midwifery care, the quality of experiential outcomes was significantly higher in community settings than in hospital settings. Care settings matter and structures of hospital-based care may impair implementation of the person-centered midwifery care model.

BACKGROUND:Social determinants of health, including neighborhood context, may be a key driver of severe maternal morbidity and its related racial and ethnic inequities; however, investigations remain limited. OBJECTIVE:This study aimed to examine the associations between neighborhood socioeconomic characteristics and severe maternal morbidity, as well as whether the associations between neighborhood socioeconomic characteristics and severe maternal morbidity were modified by race and ethnicity. STUDY DESIGN/METHODS:This study leveraged a California statewide data resource on all hospital births at ≥20 weeks of gestation (1997-2018). Severe maternal morbidity was defined as having at least 1 of 21 diagnoses and procedures (eg, blood transfusion or hysterectomy) as outlined by the Centers for Disease Control and Prevention. Neighborhoods were defined as residential census tracts (n=8022; an average of 1295 births per neighborhood), and the neighborhood deprivation index was a summary measure of 8 census indicators (eg, percentage of poverty, unemployment, and public assistance). Mixed-effects logistic regression models (individuals nested within neighborhoods) were used to compare odds of severe maternal morbidity across quartiles (quartile 1 [the least deprived] to quartile 4 [the most deprived]) of the neighborhood deprivation index before and after adjustments for maternal sociodemographic and pregnancy-related factors and comorbidities. Moreover, cross-product terms were created to determine whether associations were modified by race and ethnicity. RESULTS:Of 10,384,976 births, the prevalence of severe maternal morbidity was 1.2% (N=120,487). In fully adjusted mixed-effects models, the odds of severe maternal morbidity increased with increasing neighborhood deprivation index (odds ratios: quartile 1, reference; quartile 4, 1.23 [95% confidence interval, 1.20-1.26]; quartile 3, 1.13 [95% confidence interval, 1.10-1.16]; quartile 2, 1.06 [95% confidence interval, 1.03-1.08]). The associations were modified by race and ethnicity such that associations (quartile 4 vs quartile 1) were the strongest among individuals in the "other" racial and ethnic category (1.39; 95% confidence interval, 1.03-1.86) and the weakest among Black individuals (1.07; 95% confidence interval, 0.98-1.16). CONCLUSION/CONCLUSIONS:Study findings suggest that neighborhood deprivation contributes to an increased risk of severe maternal morbidity. Future research should examine which aspects of neighborhood environments matter most across racial and ethnic groups.