Fractals for an ethnography of time and addiction: Recursive and self-similar temporalities in heroin and poly-substance use.

Drawing on both mathematical and anthropological understandings of fractality, this paper explores alternative perspectives of time as it relates to heroin addiction and poly-substance use in Scotland. The paper ethnographically illustrates temporalities which confound typical conceptualizations of linearity, and which can be better understood as fractal. Senses of linear time are disrupted for people who use heroin through intensive poly-substance use, an increasing trend in Scotland, as both time and memory become fragmented beyond coherence or re-assemblage. Distortedness and complexity being common descriptors applied to mathematical fractals, time shattered into uncountable and un-interpretable fragments similarly connotes fracture, dissonance, and distortion. A meaningful engagement with fractal theory contains the potential to open up new vocabulary, imagery, and theoretical avenues with which to grasp complex and non-linear time experience. The aims of the paper are, therefore, twofold; to both provide a nuanced ethnographic exploration of substance use time, and to develop a reflexive analytical framework for temporal experience through fractals.

Describing characteristics and treatment patterns of patients hospitalized with COVID-19 by race and ethnicity in a national RWD during the early months of the pandemic.

OBJECTIVE: To describe differences by race and ethnicity in treatment patterns among hospitalized COVID-19 patients in the US from March-August 2020. METHODS: Among patients in de-identified Optum electronic health record data hospitalized with COVID-19 (March-August 2020), we estimated odds ratios of receiving COVID-19 treatments of interest (azithromycin, dexamethasone, hydroxychloroquine, remdesivir, and other steroids) at hospital admission, by race and ethnicity, after adjusting for key covariates of interest. RESULTS: After adjusting for key covariates, Black/African American patients were less likely to receive dexamethasone (adj. OR [95% CI]: 0.83 [0.71, 0.96]) and more likely to receive other steroids corticosteroids (adj. OR [95% CI]: 2.13 [1.90, 2.39]), relative to White patients. Hispanic/Latino patients were less likely to receive dexamethasone than Not Hispanic/Latino patients (adj. OR [95% CI]: 0.69 [0.58, 0.82]). CONCLUSIONS: Our findings suggest that COVID-19 treatments patients received in Optum varied by race and ethnicity after adjustment for other possible explanatory factors. In the face of rapidly evolving treatment landscapes, policies are needed to ensure equitable access to novel and repurposed therapeutics to avoid disparities in care by race and ethnicity.

Substance use policy and practice in the COVID-19 pandemic: Learning from early pandemic responses through internationally comparative field data.

The COVID-19 pandemic has created an unprecedented natural experiment in drug policy, treatment delivery, and harm reduction strategies by exposing wide variation in public health infrastructures and social safety nets around the world. Using qualitative data including ethnographic methods, questionnaires, and semi-structured interviews with people who use drugs (PWUD) and Delphi-method with experts from field sites spanning 13 different countries, this paper compares national responses to substance use during the first wave of the COVID-19 pandemic. Field data was collected by the Substance Use x COVID-19 (SU x COVID) Data Collaborative, an international network of social scientists, public health scientists, and community health practitioners convened to identify and contextualise health service delivery models and social protections that influence the health and wellbeing of PWUD during COVID-19. Findings suggest that countries with stronger social welfare systems pre-COVID introduced durable interventions targeting structural drivers of health. Countries with fragmented social service infrastructures implemented temporary initiatives for PWUD led by non-governmental organisations. The paper summarises the most successful early pandemic responses seen across countries and ends by calling for greater systemic investments in social protections for PWUD, diversion away from criminal-legal systems toward health interventions, and integrated harm reduction, treatment and recovery supports for PWUD.

Isolation, Solitude and Social Distancing for People Who Use Drugs: An Ethnographic Perspective.

COVID-19 has resulted in deepened states of crisis and vulnerability for people who use drugs throughout Europe and across the world, with social distancing measures having far-reaching implications for everyday life. Prolonged periods of isolation and solitude are acknowledged within much addiction literature as negatively impacting the experiences of those in recovery, while also causing harm to active users - many of whom depend on social contact for the purchasing and taking of substances, as well as myriad forms of support. Solitude, however, is proposed by the authors as inherent within some aspects of substance use, far from particular to the current pandemic. Certain forms of substance use engender solitary experience, even where use is predicated upon the presence of others. Adopting a cross-disciplinary perspective, this paper takes as its focus the urgent changes wrought by the pandemic upon everyday life for people who use drugs, drawing on recent ethnographic fieldwork with substance users in Scotland. Beyond the current crises, the paper proposes solitude, and by extension isolation, as an analytical framework for better apprehending lived experiences of substance use.

Development of the Quality Data Collection Tool for Prospective Quality Assessment and Reporting in Palliative Care.

BACKGROUND: Assessing and reporting the quality of care provided are increasingly important in palliative care, but we currently lack practical, efficient approaches for collection and reporting. OBJECTIVE: In response, the Global Palliative Care Quality Alliance ("Alliance") sought to create a Quality Data Collection Tool for Palliative Care (QDACT-PC). METHODS: We collaboratively and iteratively developed QDACT-PC, an electronic, point-of-care quality monitoring system for palliative care that supports prospective quality assessment and reporting in any clinical setting. QDACT-PC is the web-based data collection and reporting interface. Quality measures selected to be used in QDACT-PC were derived from a systematic review summarizing all published palliative care quality measure sets; Alliance clinical providers prioritized measures to be included in QDACT-PC to ensure maximal clinical relevance. Data elements and variables required to ascertain conformance to all selected quality measures were included in the QDACT-PC data dictionary. Whenever possible, variables collected in QDACT-PC align with validated surveys and/or nationally recognized common data elements. QDACT-PC data elements and software programmed business rules inform real-time assessments of conformance to selected quality measures. Data are deposited into a centralized registry for future analyses. RESULTS: QDACT-PC can be used to report on >80% of all published palliative care quality measures and 100% of high-priority measure. CONCLUSION: Electronic methods for collecting point-of-care quality monitoring data can be developed using collaborative partnerships between community and academic palliative care providers. Feasibility testing and creation of feedback reports are ongoing.

Development and Refinement of a Learning Health Systems Training Program.

CONTEXT: In the emerging Learning Health System (LHS), the application and generation of medical knowledge are a natural outgrowth of patient care. Achieving this ideal requires a physician workforce adept in information systems, quality improvement methods, and systems-based practice to be able to use existing data to inform future care. These skills are not currently taught in medical school or graduate medical education. CASE DESCRIPTION: We initiated a first-ever Learning Health Systems Training Program (LHSTP) for resident physicians. The curriculum builds analytical, informatics and systems engineering skills through an active-learning project utilizing health system data that culminates in a final presentation to health system leadership. FINDINGS: LHSTP has been in place for two years, with 14 participants from multiple medical disciplines. Challenges included scheduling, mentoring, data standardization, and iterative optimization of the curriculum for real-time instruction. Satisfaction surveys and feedback were solicited mid-year in year 2. Most respondents were satisfied with the program, and several participants wished to continue in the program in various capacities after their official completion. MAJOR THEMES: We adapted our curriculum to successes and challenges encountered in the first two years. Modifications include a revised approach to teaching statistics, smaller cohorts, and more intensive mentorship. We continue to explore ways for our graduates to remain involved in the LHSTP and to disseminate this program to other institutions. CONCLUSION: The LHSTP is a novel curriculum that trains physicians to lead towards the LHS. Successful methods have included diverse multidisciplinary educators, just in time instruction, tailored content, and mentored projects with local health system impact.