Preterm birth is a key indicator of maternal and child health, affecting 1 in 10 deliveries in the United States (US) and contributing to long-term morbidity and healthcare costs. The COVID-19 pandemic and policies to mitigate the spread of infection may have indirectly impacted preterm birth, but the results of early epidemiological studies were mixed and declines were largely concentrated in high-income countries and populations. Moreover, while most studies focused on stress-related pathways associated with lockdown policies, healthcare disruptions may have also played a role. The goal of this dissertation was to investigate changes in preterm birth and healthcare disruptions related to the COVID-19 lockdown in a low-income population in the US. In the first aim, I conducted a systematic review of the literature on the pandemic and preterm birth, with a focus on studies that examine heterogeneity by income. In the second aim, New York State (NYS) Medicaid claims were used to examine changes in preterm birth rates during the state’s lockdown policy (NYS on PAUSE) using difference-in-difference methods. In the third aim, changes in preterm were further stratified into those that were spontaneous or medically induced, which may reflect a healthcare pathway. Weekly rates of healthcare utilization, antenatal surveillance, and maternal complications were also assessed using interrupted time series models to characterize healthcare disruptions over the course of the lockdown and across the state. Results from the systematic review documented the rapid growth in research on this topic since the beginning of pandemic. Among the 67 articles included, most reported some decline in preterm birth rates; however, there was large variation by country, methods of exposure assessment, and onset of delivery. Only seven studies focused on differences by individual income (or income proxies) and those that did were inconsistent. Results from Aim 2 suggested that NYS on PAUSE was associated with nearly a percentage point decline in preterm birth rates in the Medicaid-insured population, without a concomitant increase in stillbirth. Aim 3 demonstrated that the change in preterm was largely driven by declines in medically induced preterm. Interrupted time series models showed substantial, but time-limited, declines in pregnancy-related healthcare utilization at the beginning of NYS on PAUSE. Overall, the findings in this dissertation suggest there were modest declines in preterm birth during the COVID-19 lockdown among low-income women in NYS, particularly in medically induced preterm. Healthcare disruptions were common for Medicaid-insured women and may partially explain the reduction in preterm birth in this population. Future research is needed to determine whether this change was positive for some and negative for others, and what that might mean for efforts to improve pregnancy outcomes in the future.

This qualitative descriptive research study was conducted to understand nurses’ experiences caring for patients from communities of low income and low resources in hospital-based ambulatory clinics during the COVID-19 pandemic. Examination of the literature revealed research on the importance of ambulatory care nurses, their bond with the communities they serve, and the need for ambulatory settings for underserved communities. The review also explored the fierce strike of the COVID-19 pandemic on these communities and the social justice implications of serving low-income and low-resource patients. No literature was found on this specific dissertation topic: ambulatory nurses’ experiences working in underprivileged communities during the COVID-19 pandemic. The sample used for this study consisted of 25 registered nurses who worked in ambulatory settings during the inception of the COVID-19 pandemic. In particular, the time period spanned February 2020 through the end of June 2020. The communities consisted of poorly resourced neighborhoods. The narrative description and accounts of nurses interviewed for this study will facilitate an understanding of nurses’ experiences caring for patients from communities of low income and low resources in hospital-based ambulatory clinics during the COVID-19 pandemic. The researcher used a qualitative methodology, qualitative descriptive, to frame the stories. Qualitative content analysis methods, specifically thematic analysis, were used to understand the nurses’ reflections and experiences. Roy’s Adaptation Model (RAM) was the theoretical framework to guide the open-ended interview questions. The researcher developed questions based on the four modes of RAM: the physiologic mode, the self-concept mode, the role function mode, and the interdependence mode. Thematic analysis was used to identify themes from the interview transcripts. A thematic analysis strategy is an approach used to identify and analyze patterns of meaning from interview data (Braun & Clarke, 2006). A thorough overview was made of all the data, including initial notes. The notes were obtained by reading and rereading the transcripts and highlighting interesting phrases or statements called meaningful units. These units were then compiled into sub-themes, and ultimately themes were comprised after highlighting parts of the transcripts that generated similar content. Themes were developed by identifying patterns among meaningful units and data relevant to each theme. Themes were then reviewed to ensure they accurately represented the data after highlighting, constant review, and compounding them in meaningful units that identified and generated the final set of themes. The researcher developed and kept reflexive journal notes, which were reviewed constantly throughout the study to maintain best-practice qualitative methodology (Ortlipp, 2008). The thematic analysis revealed multiple themes. The themes discovered were crying, protector vs. moral distress, resilience vs. compassion fatigue, family vs. bereavement, and self-concept vs. self-care. An overarching theme of struggle was also manifested within this research.

Cultural factors have been shown to play a role in human decision making and behaviour. The main objective for this research was to identify and evaluate the possible influence of Shangaan cultural beliefs, myths and behaviours, on the spread of HIV within the Mnisi tribe. A qualitative method of investigation was followed; interviews with three participants and observations of the Mnisi culture were used in the construction of the investigation and findings. Through the information obtained two cultures influencing the spread of HIV in the Mnisi tribe were identified, they are (1) The culture of power-rule and fear, and (2) The culture of poverty. / Psychology / M.Sc. (Psychology)

Cultural factors have been shown to play a role in human decision making and behaviour. The main objective for this research was to identify and evaluate the possible influence of Shangaan cultural beliefs, myths and behaviours, on the spread of HIV within the Mnisi tribe. A qualitative method of investigation was followed; interviews with three participants and observations of the Mnisi culture were used in the construction of the investigation and findings. Through the information obtained two cultures influencing the spread of HIV in the Mnisi tribe were identified, they are (1) The culture of power-rule and fear, and (2) The culture of poverty. / Psychology / M.Sc. (Psychology)