Audrey Lyndon

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

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

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

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: 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.

Abstract

Background: Evidence is limited on nurse staffing in maternity units. Purpose: 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: 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: 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.

Abstract

Objective This study aimed to explore the association of nurses' perceptions of patient safety climate with missed nursing care in labor and delivery (L&D) units. Methods We recruited nurse respondents via email distribution of an electronic survey between February 2018 and July 2019. Hospitals with L&D units were recruited from states with projected availability of 2018 state inpatient data in the United States. Measures included the Safety Attitudes Questionnaire Safety Climate Subscale and the Perinatal Missed Care Survey. We estimated the relationship between safety climate and missed care using Kruskal-Wallis tests and mixed-effects linear regression. Results The analytic sample included 3429 L&D registered nurses from 253 hospitals (response rate, 35%). A majority of respondents (65.7%) reported a perception of good safety climate in their units, with a mean score of 4.12 (±0.73) out of 5. The mean number of aspects of care occasionally, frequently, or always missed on respondents' units was 11.04 (±6.99) out of 25. χ2 Tests showed that six mostly commonly missed aspects of care (e.g., timely documentation) and three reasons for missed care (communications, material resources, and labor resources) were associated with safety climate groups (P < 0.001). The adjusted mixed-effects model identified a significant association between better nurse-perceived safety climate and less missed care (β = -2.65; 95% confidence interval, -2.97 to -2.34; P < 0.001) after controlling for years of experience and highest nursing education. Conclusions Our findings suggest that improving safety climate - for example, through better teamwork and communication - may improve nursing care quality during labor and birth through decreasing missed nursing care. Conversely, it is also possible that strategies to reduce missed care - such as staffing improvements - may improve safety climate.

Abstract

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: 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: 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.