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      Disparities and Equity Dashboards in the Neonatal Intensive Care Unit: A Qualitative Study of Expert Perspectives

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          Abstract

          Objective:

          Racial/ethnic disparities are well-described in the neonatal intensive care unit (NICU). We explore expert opinion on their root causes, potential solutions, and the ability of health equity dashboards to meaningfully address NICU disparities.

          Study Design:

          We conducted 12 qualitative semi-structured interviews, purposively selecting a diverse group of neonatal experts. We used grounded theory to develop codes, shape interviews, and conduct analysis.

          Result:

          Participants identified three sources of disparity: interpersonal bias, care process barriers, and social determinants of health, particularly as they affect parental engagement in the NICU. Proposed solutions included racial/cultural concordance, bolstering hospital-based resources, and policy interventions. Health equity dashboards were viewed as useful but limited because clinical metrics do not account for many of the aforementioned sources of disparities.

          Conclusion:

          Equity dashboards serve as a motivational starting point for quality improvement; future iterations may require novel, qualitative data sources to identify underlying etiologies of NICU disparities.

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          Most cited references34

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          Guidelines for Family-Centered Care in the Neonatal, Pediatric, and Adult ICU.

          To provide clinicians with evidence-based strategies to optimize the support of the family of critically ill patients in the ICU.
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            Racial and ethnic differences in preterm birth: A complex, multifactorial problem

            Preterm birth remains the leading cause of morbidity and mortality among nonanomalous neonates, and is a major public health problem. Non-Hispanic black women have a 2-fold greater risk for preterm birth compared with non-Hispanic white race. The reasons for this disparity are poorly understood and cannot be explained solely by sociodemographic factors. Underlying factors including a complex interaction between maternal, paternal, and fetal genetics, epigenetics, the microbiome, and these sociodemographic risk factors likely underlies the differences between racial groups, but these relationships are currently poorly understood. This article reviews the epidemiology of disparities in preterm birth rates and adverse pregnancy outcomes and discuss possible explanations for the racial and ethnic differences, while examining potential solutions to this major public health problem.
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              Birth outcome racial disparities: A result of intersecting social and environmental factors

              Adverse birth outcomes such as preterm birth, low birth weight and infant mortality continue to disproportionately affect black and poor infants in the United States. Improvements in healthcare quality and access have not eliminated these disparities. The objective of this review was to consider societal factors, including suboptimal education, income inequality, and residential segregation, that together lead to toxic environmental exposures and psychosocial stress. Many toxic chemicals, as well as psychosocial stress, contribute to the risk of adverse birth outcomes and black women often are more highly exposed than white women. The extent to which environmental exposures combine with stress and culminate in racial disparities in birth outcomes has not been quantified but is likely substantial. Primary prevention of adverse birth outcomes and elimination of disparities will require a societal approach to improve education quality, income equity, and neighborhoods.
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                Author and article information

                Contributors
                Journal
                Res Sq
                ResearchSquare
                Research Square
                American Journal Experts
                26 June 2023
                : rs.3.rs-3002217
                Affiliations
                University of British Columbia
                Stanford University
                Author notes

                Author Contributions: SR and LH performed the data analysis and interpretation and drafted the initial manuscript. KS contributed to the conception of the work, recruited participants, coordinated data collection, and revised the manuscript critically for important intellectual content. JP contributed to the conception of the work, consulted on data collection instruments, and revised the manuscript critically for important intellectual content. CM conceptualized and designed the study, designed the data collection instruments, recruited participants, coordinated and supervised data collection, supervised data interpretation, and revised the manuscript critically for important intellectual content. All authors gave final approval of the version to be published and are in agreement to be accountable for all aspects of the work.

                Author information
                http://orcid.org/0000-0002-3782-9248
                Article
                10.21203/rs.3.rs-3002217
                10.21203/rs.3.rs-3002217/v1
                10350244
                37461712
                73201032-426f-4543-abba-dfb39694bdc5

                This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.

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                Funding
                Funded by: National Institute of Health
                Award ID: 1R01HD083368
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