Audrey Lyndon

Abstract

Purpose: 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: 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: 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.

Abstract

Introduction: Symptoms of untreated depression and anxiety during pregnancy are associated with serious adverse effects for the pregnant person, birth outcomes, and child development. However, pregnant persons are less likely to be screened and treated compared with nonpregnant people. In this systematic review, we aimed to explore individual, provider, and systems factors that impact screening, identification, and treatment patterns for depression and anxiety during pregnancy. Methods: Studies were eligible for inclusion if they were conducted within the United States and published in English between January 2012 and January 2023. Each study included analysis that compared rates of screening, identification, or treatment engagement and explicitly discussed disparities or health equity in marginalized groups. Fifteen articles met full inclusion criteria. Results: Results demonstrated variation in the screening, identification, and treatment of depression and anxiety during pregnancy among diverse groups of patients. Screening rates ranged from 51.3% in Puerto Rico to 90.7% in Alaska. Among specific clinical populations, rates were as low as 2.0%. Fewer than half of patients were referred to treatment when indicated by screening or diagnoses. Patient characteristics such as age, race, ethnicity, socioeconomic and health factors, mental health history, and obesity were associated with variation in the rates of screening, diagnoses, or treatment engagement. Language factors were the most common factor associated with lower rates of screening and treatment access. Discussion: Results suggest that many pregnant people are being overlooked and lack appropriate referrals or resources to access treatment. Results are consistent with previous findings that role confusion and lack of time, provider training, and interest contribute to low rates of screening and treatment. Future research must focus on system level factors to address perceived barriers to screening and treating depression and anxiety during pregnancy in a systematic and equitable way.

Abstract

INTRODUCTION: Pregnancy represents a stressful period for both women and their families. Whether the family maintains functioning during pregnancy could have significant implications on maternal and child health. In this study, we explored individual- and family-level factors associated with family functioning in adolescent and young adult mothers.METHODS: This study was a secondary analysis of 295 young mothers, ages between 15 and 21 years. Multivariate logistic regression models were conducted to estimate adjusted odds ratios of exploratory factors on the risk of being in high family functioning group. The parent study was approved by the Institutional Review Boards at Yale University.RESULTS: The mean score of family functioning was 5.14 out of 7. With the inclusion of individual-level factors (Model 1), significant associations were observed between high family functioning and having ever attended religious services (OR = 2.22, 95% CI: 1.20-4.09), low perceived discrimination (OR = 3.04, 95% CI: 1.60-5.75), and high perceived social support (OR = 3.74, 95% CI: 2.01-6.95). After including both individual- and family-level factors (Model 2), results identified significant associations between high family functioning and annual household income>$15,000 (OR = 9.82, 95% CI: 1.67-57.67, p = 0.011) and no experience of violence from any family members (OR = 4.94, 95% CI: 1.50-16.21, p = 0.008).DISCUSSION: The models of care should be structured to support the continuity of maternity care in which health care providers have the opportunity to discover and utilize each family's strengths to provide the optimal caring experience for young mothers and their families as a unit.

Abstract

Introduction: Pregnancy represents a stressful period for both women and their families. Whether the family maintains functioning during pregnancy could have significant implications on maternal and child health. In this study, we explored individual- and family-level factors associated with family functioning in adolescent and young adult mothers. Methods: This study was a secondary analysis of 295 young mothers, ages between 15 and 21 years. Multivariate logistic regression models were conducted to estimate adjusted odds ratios of exploratory factors on the risk of being in high family functioning group. The parent study was approved by the Institutional Review Boards at Yale University. Results: The mean score of family functioning was 5.14 out of 7. With the inclusion of individual-level factors (Model 1), significant associations were observed between high family functioning and having ever attended religious services (OR = 2.22, 95% CI: 1.20-4.09), low perceived discrimination (OR = 3.04, 95% CI: 1.60-5.75), and high perceived social support (OR = 3.74, 95% CI: 2.01-6.95). After including both individual- and family-level factors (Model 2), results identified significant associations between high family functioning and annual household income>$15,000 (OR = 9.82, 95% CI: 1.67-57.67, p = 0.011) and no experience of violence from any family members (OR = 4.94, 95% CI: 1.50-16.21, p = 0.008). Discussion: The models of care should be structured to support the continuity of maternity care in which health care providers have the opportunity to discover and utilize each family's strengths to provide the optimal caring experience for young mothers and their families as a unit.

Abstract

Background: Some breastfeeding mothers try to increase their milk supply through pharmaceutical, dietary, and behavioral strategies that vary in effectiveness. Information seeking behaviors may influence which strategies mothers use. Objective: To describe where mothers obtain information about increasing milk supply, describe the perceived influence of each information source on decision-making about strategies for increasing milk supply, and explore associations between information sources and mothers' use of galactagogues (i.e., pharmaceutical and dietary strategies) and behavioral strategies. Methods: Women who were currently breastfeeding and living in the United States were recruited through Facebook advertisements to complete an online survey between December 2020 and February 2021. Descriptive statistics were calculated, and chi-square tests compared participants' use of galactagogues and behavioral strategies by information sources. Results: Participants were 1,351 breastfeeding mothers (81% non-Hispanic white; 47% first-time breastfeeding; 21% Special Supplemental Nutrition Program for Women, Infants, and Children participants). Nearly all participants (97%) obtained information about increasing milk supply from at least one source, most commonly lactation consultants (68%), Facebook (61%), search engines (50%), websites (47%), and nurses (41%). There was high variability in the perceived influence of each source on decision-making. Galactagogue use was higher among participants who obtained information from the internet (Yes: 68% vs. No: 43%, p < 0.000), social media (Yes: 65% vs. No: 40%, p < 0.000), family and friends (Yes: 65% vs. No: 53%, p < 0.000), and lactation consultants (Yes: 63% vs. No: 54%, p < 0.002). Behavioral strategies were more commonly reported among participants who accessed these same sources, maternal health care professionals (Yes: 98% vs. No: 91%, p < 0.000), and pediatricians (Yes: 98% vs. No: 94%, p = 0.001). Conclusion: Breastfeeding mothers commonly obtained information about increasing milk supply from a variety of sources. Information sources accessed were associated with mothers' use of galactagogues and behavioral strategies for increasing milk supply.

Abstract

Objective: To qualitatively describe breastfeeding experiences among mothers who used galactagogues to increase their milk supply. Design: One-time, semistructured phone interviews. Setting: US. Participants: Breastfeeding mothers (n = 19) who reported ever consuming foods, beverages, or herbal supplements to increase their milk supply in a cross-sectional online survey were purposefully sampled to participate in this qualitative study. Participants were diverse in terms of race and ethnicity, education, income, infant age (0–18 months), and prior breastfeeding experience (32% first-time breastfeeding). Phenomenon of Interest: Reasons for trying to increase milk supply, sources of information about increasing milk supply, and strategies tried to increase milk supply. Analysis: Interviews were transcribed verbatim and analyzed using reflexive thematic analysis. Results: Participants expressed determination and commitment to breastfeeding but unexpectedly struggled to breastfeed and increase their milk supply. They sought information from multiple sources and used individualized approaches to address milk supply concerns on the basis of recommendations from others, as well as the perceived convenience, cost, palatability, and safety of potential strategies. Conclusions and Implications: Results suggest a need to expand breastfeeding education and support so that lactating parents anticipate common breastfeeding challenges and are aware of evidence-based strategies for increasing their milk supply.

Abstract

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 to 2017 (n = 10,580,096) using the Centers for Disease Control and Prevention's SMM index. Cases were categorized into seven nonmutually 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 nontransfusion 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 3-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, U.S.-born Hispanic, and non-U.S.-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.

Abstract

BACKGROUND: Food insecurity is a major public health concern in the United States, particularly for pregnant and postpartum individuals. In 2020, ∼13.8 million (10.5%) U.S. households experienced food insecurity. However, the association between food security and pregnancy outcomes in the United States is poorly understood.PURPOSE: The purpose of this review was to critically appraise the state of the evidence related to food insecurity as a determinant of health within the context of pregnancy in the United States. We also explored the relationship between food insecurity and pregnancy outcomes.METHODS: PubMed, CINAHL, Web of Science, and Food and Nutrition Science databases were used. The inclusion criteria were peer-reviewed studies about food (in)security, position articles from professional organizations, and policy articles about pregnancy outcomes and breastfeeding practices. Studies conducted outside of the United States and those without an adequate definition of food (in)security were excluded. Neonatal health outcomes were also excluded. Included articles were critically appraised with the STROBE and Critical Appraisal Skills Program checklists.RESULTS: Nineteen studies met the inclusion criteria. Inconsistencies exist in defining and measuring household food (in)security. Pregnant and postpartum people experienced several adverse physiological and psychological outcomes that impact pregnancy compared with those who do not. Intersections between neighborhood conditions and other economic hardships were identified. Findings regarding the impact of food insecurity on breastfeeding behaviors were mixed, but generally food insecurity was not associated with poor breastfeeding outcomes in adjusted models.CONCLUSION: Inconsistencies in definitions and measures of food security limit definitive conclusions. There is a need for standardizing definitions and measures of food insecurity, as well as a heightened awareness and policy change to alleviate experiences of food insecurity.

Abstract

Objectives: 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 1 (0.8%) corresponded to a staff-reported IR. Twenty-five percent 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.