The Complexity of Trauma for LGBTQ+ People: Considerations for Acute and Critical Care.

Trauma care is complex. Acute and critical care clinicians perceive trauma as a skilled response to critical injury or accident that occurs to patients, but trauma exists on many levels. One of those is a grim reality for patients who are lesbian, gay, bisexual, transgender, queer or questioning, and from other sexual and gender minorities (LGBTQ+). A lifetime of trauma through stigma, discrimination, and victimization is too often present. Owing to distrust of the health care system and clinicians, LGBTQ+ experience health and health care disparities.

Leveraging integrated data for program evaluation: Recommendations from the field.

Use of administrative data to inform decision making is now commonplace throughout the public sector, including program and policy evaluation. While reuse of these data can reduce costs, improve methodologies, and shorten timelines, challenges remain. This article informs evaluators about the growing field of Integrated Data Systems (IDS), and how to leverage cross-sector administrative data in evaluation work. This article is informed by three sources: a survey of current data integration efforts in the United States (U.S.) (N=63), informational interviews with experts, and internal knowledge cultivated through Actionable Intelligence for Social Policy's (AISP) 12+ years of work in the field. A brief discussion of the U.S. data integration context and history is provided, followed by discussion of tangible recommendations for evaluators, examples of evaluations relying on integrated data, and a list of U.S. IDS sites with publicly available processes for external data requests. Despite the challenges associated with reusing administrative data for program evaluation, IDS offer evaluators a new set of tools for leveraging data across institutional silos.

Developmental impacts of the COVID-19 pandemic on young children: a conceptual model for research with integrated administrative data systems.

The COVID-19 pandemic made its mark on the entire world, upending economies, shifting work and education, and exposing deeply rooted inequities. A particularly vulnerable, yet less studied population includes our youngest children, ages zero to five, whose proximal and distal contexts have been exponentially affected with unknown impacts on health, education, and social-emotional well-being. Integrated administrative data systems could be important tools for understanding these impacts. This article has three aims to guide research on the impacts of COVID-19 for this critical population using integrated data systems (IDS). First, it presents a conceptual data model informed by developmental-ecological theory and epidemiological frameworks to study young children. This data model presents five developmental resilience pathways (i.e. early learning, safe and nurturing families, health, housing, and financial/employment) that include direct and indirect influencers related to COVID-19 impacts and the contexts and community supports that can affect outcomes. Second, the article outlines administrative datasets with relevant indicators that are commonly collected, could be integrated at the individual level, and include relevant linkages between children and families to facilitate research using the conceptual data model. Third, this paper provides specific considerations for research using the conceptual data model that acknowledge the highly-localised political response to COVID-19 in the US. It concludes with a call to action for the population data science community to use and expand IDS capacities to better understand the intermediate and long-term impacts of this pandemic on young children.