Audrey Lyndon

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.

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.

Abstract

The dynamic and complex nature of care provision predisposes healthcare workers to stress, including physical, emotional, or psychological fatigue due to individual, interpersonal, or organizational factors. We conducted a convergent mixed-methods study with maternity providers to understand their sources of stress and coping mechanisms they adopt. Data were collected in Migori County in western Kenya utilizing quantitative surveys with n = 101 maternity providers and in-depth interviews with a subset of n = 31 providers. We conducted descriptive analyses for the quantitative data. For qualitative data, we conducted thematic analysis, where codes were deductively developed from interview guides, iteratively refined based on emergent data, and applied by a team of five researchers using Dedoose software. Code queries were then analysed to identify themes and organized using the socioecological (SE) framework to present findings at the individual, interpersonal, and organizational levels. Providers reported stress due to high workloads (61%); lack of supplies (37%), poor salary (32%), attitudes of colleagues and superiors (25%), attitudes of patients (21%), and adverse outcomes (16%). Themes from the qualitative analysis mirrored the quantitative analysis with more detailed information on the factors contributing to each and how these sources of stress affect providers and patient outcomes. Coping mechanisms adopted by providers are captured under three themes: addressing stress by oneself, reaching out to others, and seeking help from a higher power. Findings underscore the need to address organizational, interpersonal, and individual level stressors. Strategies are needed to support staff retention, provide adequate resources and incentives for providers, and ultimately improve patient outcomes. Interventions should support and leverage the positive coping mechanisms identified.

Abstract

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: Frequencies and percentages described the use and perceived effects of galactagogues. The χ2 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.