Audrey Lyndon

Abstract

OBJECTIVE:  The aim of this study is to evaluate the contribution of pre-pregnancy obesity and overweight to peripartum cardiomyopathy.STUDY DESIGN:  This population-based study used linked birth record and maternal hospital discharge data from live births in California during 2007 to 2012 (n = 2,548,380). All women who had a diagnosis of peripartum cardiomyopathy during the childbirth hospitalization or who were diagnosed with peripartum cardiomyopathy during a postpartum hospital readmission within 5 months of birth were identified as cases. Pre-pregnancy body mass index (BMI, kg/m2) was classified as normal weight (18.5-24.9), overweight (25.0-29.9), obesity class 1 (30.0-34.9), obesity class 2 (35.0-39.9), and obesity class 3 (≥40). Because of small numbers, we excluded women with underweight BMI, and in some analyses, we combined obesity classes into one group. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) expressing associations between BMI and peripartum cardiomyopathy, adjusted for maternal age, race/ethnicity, education, health care payer, parity, plurality, and comorbidities.RESULTS:  The overall prevalence of peripartum cardiomyopathy during hospital admissions was 1.3 per 10,000 live births (n = 320). Unadjusted ORs were 1.32 (95% CI: 1.01-1.74) for women with overweight BMI and 2.03 (95% CI: 1.57-2.62) for women with obesity, compared with women with normal pre-pregnancy BMI. Adjusted ORs were 1.26 (95% CI: 0.95-1.66) for overweight women and 1.38 (95% CI: 1.04-1.84) for women with obesity. The ORs suggested a dose-response relationship with increasing levels of obesity, but the 95% CIs for the specific classes of obesity included 1.00.CONCLUSION:  Pre-pregnancy obesity was associated with an increased risk of peripartum cardiomyopathy. These findings underscore the importance of BMI during pregnancy. There is a need to recognize the increased risk of peripartum cardiomyopathy in women with high BMI, especially in the late postpartum period.KEY POINTS: · Pre-pregnancy obesity affects maternal health.. · Effects may extend to peripartum cardiomyopathy.. · The risk includes peripartum cardiomyopathy that emerges postpartum..

Abstract

BACKGROUND: Severe maternal morbidity (SMM) has increased in the United States by 45% in the last decade. While the recurrence of several adverse pregnancy outcomes from one pregnancy to the next has been established, the recurrence risk of SMM is unknown.OBJECTIVE: To determine whether women who have SMM in a first pregnancy are at increased risk of SMM in their second pregnancy, compared to women who did not have SMM in their first pregnancy.METHODS: This is a population-based study using linked vital statistics and hospital discharge records from the Office of Statewide Health Planning and Development in California from 1997 to 2012. The study population had their first two singleton births (live births or stillbirths) in California between 1997 and 2012 (n = 1 180 357). The primary exposure was SMM during the hospitalisation at first birth, and the primary outcome was SMM during the hospitalisation at second birth. Prevalence and risk ratios of SMM at second birth were computed for women who did and did not have SMM at first birth, as well as for certain specific indicators of SMM.RESULTS: Of the 1 180 357 women included in this analysis, 9088 (77 per 10 000 births) experienced SMM at first birth. Among these women, the prevalence of SMM at second birth was 470 per 10 000 births, compared to 68 per 10 000 births among women without SMM at first birth. This corresponded to an unadjusted risk ratio of 6.87 (95% CI 6.23, 7.57), which did not differ substantially when adjusted for factors known to be associated with SMM (6.42, 95% CI 5.86, 7.13).CONCLUSION: Women experiencing SMM in their first pregnancy were at an approximately sixfold increased risk of experiencing SMM in their second pregnancy.

Abstract

Severe maternal morbidity (SMM) is a composite outcome measure that indicates serious, potentially life-threatening maternal health problems. There is great interest in defining SMM using administrative data for surveillance and research. In the United States, one common way of defining SMM at the population level is an index developed by the Centers for Disease Control and Prevention. Modifications to this index (e.g., exclusion of maternal blood transfusion) have been proposed; some research defines SMM using an index introduced by Bateman et al. (Obstet Gynecol. 2013;122(5):957-965). Birth certificate data are also increasingly being used to define SMM. We compared commonly used US definitions of SMM among all California births (2007-2012) using the kappa (κ) statistic and other measures. We also evaluated agreement between maternal morbidity fields on the birth certificate as compared with health insurance claims data. Concordance between the 7 definitions of SMM analyzed was generally low (i.e., κ < 0.41 for 13 of 21 two-way comparisons). Low concordance was particularly driven by the presence/absence of transfusion and claims data versus birth certificate definitions. Low agreement between administrative data-based definitions of SMM highlights that results can be expected to differ between them. Further research on validity of SMM definitions, using more fine-grained data sources, is needed.

Abstract

Studies in low-resource settings have highlighted disparities in person-centred maternity care (PCMC) - respectful and responsive care during childbirth - based on women's socioeconomic status (SES) and other characteristics. Yet few studies have explored factors that may underlie these disparities. In this study, we examined implicit and explicit SES bias in providers' perceptions of women's expectations and behaviours, as well as providers' general views regarding factors influencing differential treatment of women. We conducted a convergent mixed-methods study with 101 maternity providers in western Kenya. Implicit SES bias was measured using an adaptation of the Implicit Association Test (IAT) and explicit SES bias assessed using situationally specific vignettes. Qualitative data provided additional details on the factors contributing to disparities. Results provide evidence for the presence of both implicit and explicit bias related to SES that might influence PCMC. Differential treatment was linked to women's appearance, providers' perceptions of women's attitudes, assumptions about who is more likely to understand or be cooperative, women's ability to advocate for themselves or hold providers accountable, ability to pay for services in a timely manner, as well as situational factors related to stress and burnout. These factors interact in complex ways to produce PCMC disparities, and providing better care to certain groups does not necessarily indicate preference for those groups or a desire to provide better care to them. The findings imply the need for multilevel approaches to addressing disparities in maternity care. This should include provider training on PCMC and their biases, advocacy for women of low SES, accountability mechanisms, and structural and policy changes within health care settings.

Abstract

Research

Abstract

Background: Injury is the leading cause of death in people under 45 years of age in the United States; however, how care decisions occur in critical injury is poorly understood. This exploratory study sought to generate hypotheses about how care decisions are made among interdisciplinary providers caring for patients who have been critically injured. Methods: This was a qualitative study conducted at two intensive care units in a level 1 trauma center in an urban, teaching, safety-net hospital. Semistructured interviews consisted of case scenarios with competing clinical priorities presented to 25 interdisciplinary providers, elucidating how decisions are approached. Responses were recorded, transcribed, and coded. Thematic analysis was conducted to discover central themes. Category formulation and sorting was done for data reduction and thematic structuring of the data. The range and central tendency of these themes are reported. Results: The central theme for how care decisions are made among interdisciplinary providers was through the distribution of shared responsibility. The distribution of shared responsibility depended on interdisciplinary communication to navigate the two subthemes of time and roles. Time had to be navigated carefully, because it was both an opportunity for data acquisition and consensus building but also a pressure to decisively progress care. Roles were distinct but interchangeable and consisted of experts, actualizers, and questioners. Conclusion: Care decisions are made in the context of shared responsibility among interdisciplinary providers. Interdisciplinary communication is a means of establishing roles and navigating time to distribute shared responsibility among interdisciplinary providers.

Abstract

INTRODUCTION: Women of color are at increased risk for poor birth outcomes, often driven by upstream social determinants and socially structured systems. Given the increasing rate of maternal mortality in the United States, particularly for women of color, there is a pressing need to find solutions to improving care quality and access for racially marginalized communities. This study aims to describe and thematically analyze the recommendations to improve pregnancy and birth care made by women of color with lived experience of perinatal health care.METHODS: Twenty-two women of color living in the San Francisco Bay Area and receiving support services from a community-based nonprofit organization participated in semistructured interviews about their experiences receiving health care during pregnancy and birth. Interviews were audio-recorded and transcribed, and transcripts were analyzed using thematic analysis to highlight recommendations for improving perinatal care experiences.RESULTS: Participants shared experiences and provided recommendations for improving care at the individual health care provider level, including spending quality time, relationship building and making meaningful connections, individualized person-centered care, and partnership in decision making. At the health systems level, recommendations included continuity of care, racial concordance with providers, supportive health care system structures to meet the needs of women of color, and implicit bias trainings and education to reduce judgment, stereotyping, and discrimination.DISCUSSION: Participants in this study shared practical ways that health care providers and systems can improve pregnancy and birth care experiences for women of color. In addition to the actions needed to address the recommendations, health care providers and systems need to listen more closely to women of color as experts on their experiences in order to create effective change. Community-centered research, driven by and for women of color, is essential to improve health disparities during pregnancy and birth.

Abstract

Purpose: The purpose of this study was to determine associations between missed nursing care and nurse staffing during labor and birth, and exclusive breast milk feeding at hospital discharge. Study Design and Methods: Labor and birth nurses in three states were surveyed about missed nursing care and their maternity units' adherence to the AWHONN (2010) nurse staffing guidelines for care during labor and birth, using the Perinatal Misscare Survey. Nursing responses were aggregated to the hospital level and estimated associations between missed nursing care, nurse staffing, and hospitals' exclusive breast milk feeding rates were measured using The Joint Commission's Perinatal Care Measure (PC-05). Results: Surveys from 512 labor nurses in 36 hospitals were included in the analysis. The mean exclusive breast milk feeding rate was 53% (range 13%-76%). Skin-to-skin care, breastfeeding within 1 hour of birth, and appropriate recovery care were on average occasionally missed (2.33 to 2.46 out of 4; 1 = rarely, 2 = occasionally, 3 = frequently, or 4 = always) and were associated with PC-05 [B(CI) -17.1(-29, -6.3), -17.9(-30.5, -6.2), and -15.4(-28.7, -2.1), respectively]. Adherence with overall staffing guidelines was associated with PC-05 [12.9(3.4, 24.3)]. Missed nursing care was an independent predictor of PC-05 [-14.6(-26.4, -2.7)] in a multilevel model adjusting for staffing guideline adherence, perceived quality, mean age of respondents, and nurse burnout. Clinical Implications: Exclusive breast milk feeding is a national quality indicator of inpatient maternity care. Nurses have substantial responsibility for direct support of infant feeding during the childbirth hospitalization. These results support exclusive breast milk feeding (PC-05) as a nurse-sensitive quality indicator.

Abstract

Problem: Adverse events occur in up to 19% of pediatric hospitalized patients, often associated with delays in recognition or treatment. While early detection is recognized as a primary determinant of recovery from deterioration, most research has focused on profiling patient risk and testing interventions, and less on factors that impact surveillance efficacy. This integrative review explored actions and factors that influence the quality of pediatric nursing surveillance. Eligibility criteria: Original research on nursing surveillance, escalation of care, or cardiopulmonary deterioration in hospitalized pediatric patients in non-critical environments, published in English in peer reviewed journals. Sample: Twenty-four studies from a literature search within the databases of CINAHL, PubMed, and Web of Science were evaluated and synthesized using a socio-technical systems theory framework. Study quality was assessed using The Mixed Methods Appraisal Tool. Results: Assessment, documentation, decision-making, intervening and communicating were identified as activities associated with surveillance of deterioration. Factors that influenced nurses' detection of deterioration were patient acuity, nurse education, experience, expertise and confidence, staffing, standardized assessment and communication tools, availability of emergency services, team composition and opportunities for multidisciplinary care planning. Conclusions: Research provides insight into some aspects of nursing surveillance but does not adequately explore factors that affect clinical data interpretation and synthesis, and role integration between nurse and parents, and nurse and other clinicians on surveillance of clinical stability. Implications: Research is needed to enhance understanding of the contextual factors that impact nursing surveillance to inform intervention design to support nurses' timely recognition and mitigation of clinical deterioration.