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    Clinical Outcomes & Medical Profiles of Children in Adoption & Statecare Settings (COMPASS) Dataset
    (2026-03-06) Sullivan, Christi; Dastin-van Rijn, Evan; Anderson, Shelby; Caola, Logan; Lehman, Jonathan; Loleng, Jada; Randolph, Anita; randolab@umn.edu; Randolph, Anita; Biopsychosocial Longitudinal Outcomes in Addiction Medicine (BLOOM) Lab
    The Biopsychosocial Longitudinal Outcomes in Addiction Medicine (BLOOM) Lab has developed three datasets to explore how adverse childhood experiences (ACEs) and prenatal substance exposures are associated with psychiatric outcomes in at-risk populations, such as children in foster care or recently adopted. The third dataset, COMPASS (Clinical Outcomes & Medical Profiles of Children in Adoption & Statecare Settings), includes patients seen at the Adoption Medicine Clinic at the University of Minnesota (AMC-UMN) between January 1, 2014, and December 31, 2024. The patient population comprises international and domestic adoptees, as well as individuals in the foster care system under 21 years old. The data captured in the COMPASS dataset includes all hemodynamics and blood lab results that occurred from birth to December 31, 2014 (entire length of the inclusion period) were captured in this iteration of the dataset.
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    Building Understanding of Transitions & Trauma, in Early Formative Life Years (BUTTERFLY) Dataset
    (2026-03-06) Anderson, Shelby; Caola, Logan; Lehman, Jonathan; Rawstern, Taylor; Loleng, Jada; Roghair, Jade; Randolph, Anita; randolab@umn.edu; Randolph, Anita; Biopsychosocial Longitudinal Outcomes in Addiction Medicine (BLOOM) Lab
    The Biopsychosocial Longitudinal Outcomes in Addiction Medicine (BLOOM) Lab has developed three datasets to explore how adverse childhood experiences (ACEs) and prenatal substance exposures are associated with psychiatric outcomes in at-risk populations, such as children in foster care or recently adopted. The first dataset, BUTTERFLY (Building Understanding of Transitions, Trauma, & Early Life Years), includes patients seen at the Adoption Medicine Clinic at the University of Minnesota (AMC-UMN) between January 1, 2014, and December 31, 2024. The patient population comprises international and domestic adoptees, as well as individuals in the foster care system under 21 years old. The data captured in the BUTTERFLY dataset includes patient history (general birth outcomes, caregiver placement history, prenatal substance exposures, and ACEs) from birth up to the first Comprehensive Child Wellness Assessments encounter; experiences after this period are not captured in this dataset.
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    Pediatric Adoption & Neuropsychological Data Assessments (PANDA) Dataset
    (2026-03-06) Anderson, Shelby; Caola, Logan; Lehman, Jonathan; Loleng, Jada; Rawstern, Taylor; Roghair, Jade; Randolph, Anita; randolab@umn.edu; Randolph, Anita; Biopsychosocial Longitudinal Outcomes in Addiction Medicine (BLOOM) Lab
    The Biopsychosocial Longitudinal Outcomes in Addiction Medicine (BLOOM) Lab has developed three datasets to explore how adverse childhood experiences (ACEs) and prenatal substance exposures are associated with psychiatric outcomes in at-risk populations, such as children in foster care or recently adopted. The second dataset, PANDA (Pediatric Adoption & Neuropsychological Data Assessments), includes patients seen at the Adoption Medicine Clinic at the University of Minnesota (AMC-UMN) between January 1, 2014, and December 31, 2024. The patient population comprises international and domestic adoptees, as well as individuals in the foster care system under 21 years old. The data captured in the PANDA dataset includes results from hundreds of neuropsychological tests. Each patient may have one or more assessments before the dataset was closed on December 31, 2024.
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    Recipe For Success: We are SO Back (2026 Spring)
    (University of Minnesota Duluth, 2026) University of Minnesota Duluth. Dining Services
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    Nursing Innovation Leadership: An Integrated Approach to Education, Practice, Research, and Policy
    (University of Minnesota, 2026-03-06) Pesut, Daniel
    The rapidly evolving landscape of nursing demands leaders who can harness the science of innovation and apply innovative methodologies to nursing science. This article synthesizes several interconnected frameworks essential to comprehensive nursing innovation: the American Nurses Association (ANA) Innovation Engine and its community of practice architecture; the organizational elements required to cultivate a genuine innovation culture; Wilber's Integral Theory and Esbjorn-Hargens' eight-zone methodological pluralism as tools for multiparadigmatic inquiry; and Kania and Kramer's Collective Impact model as a structural platform for cross-sector change. Together, these frameworks constitute a scientifically grounded, equity-oriented scaffold for nursing innovation literacy. Implications for nursing education, practice, research, and policy are examined, with particular attention to nursing's opportunity to leverage disciplinary knowledge as a force for health equity and systems-level policy change. The article argues that nursing's fullest contribution to health policy requires the same multiparadigmatic rigor applied to research and practice—marshaling evidence across all four quadrants of human experience to build policy arguments that are simultaneously scientifically credible, culturally resonant, and politically actionable.