Physician and administrator experience of preparing to implement Ontario's intensive care unit Triage Emergency Standard of Care during the COVID-19 pandemic: a qualitative study.

BACKGROUND: As the COVID-19 pandemic created a surge in demand for critical care resources, the province of Ontario, Canada, released the Adult Critical Care Clinical Emergency Standard of Care for Major Surge (Emergency Standard of Care [ESoC]), a triage framework to guide the allocation of critical care resources in the expectation that intensive care units would be overwhelmed. Our aim was to understand physicians' and administrators' experiences and perceptions of planning to implement the ESoC, and to identify ways to improve critical care triage processes for future pandemics. METHODS: We conducted semistructured qualitative interviews with critical care, emergency and internal medicine physicians, and hospital administrators from various Ontario health regions who were involved in their hospital's or region's ESoC implementation planning. Interviews were conducted virtually between April and October 2021. We analyzed the data using thematic analysis. RESULTS: We conducted interviews with 11 physicians and 10 hospital administrators representing 9 health regions. We identified 4 themes regarding participants' preparation to implement the ESoC: infrastructure to enable effective triage implementation; social, medical and political supports to enable effective triage implementation; moral dimensions of triage implementation; and communication of triage results. Participants outlined administrative and implementation-related improvements that could be provided at the provincial level, such as billing codes for ESoC. They also suggested improving ethical supports for the usability and quality of the ESoC (e.g., designating an ethicist in each region), and ways to improve the efficiency and usability of the tools for assessing short-term mortality risk (e.g., create information technology solutions such as a dashboard). INTERPRETATION: The implementation of a jurisdiction-level triage framework poses moral challenges for a health care system, but it also requires dedicated infrastructure, as well as institutional supports. Lessons learned from Ontario's process to prepare for ESoC implementation, as well as participants' suggestions, can be used for planning for current and future pandemics.

No association between dopaminergic polymorphisms and response to treatment of binge-eating disorder.

BACKGROUND: The genetics of binge-eating disorder (BED) is an emerging topic, with dopaminergic genes being implicated in its etiology due to the role that dopamine (DA) plays in food reward sensitivity and self-regulation of eating behavior. However, no study to date has examined if DA genes influence response to behavioral treatment of BED. OBJECTIVE: The primary objective of this study was to examine the ability of DA-associated polymorphisms to predict BED treatment response measured using binge frequency over 12 months. As secondary objectives, this study examined cross-sectional relationships between these polymorphisms and anthropometrics in women living with and without BED and obesity. METHODS: Women aged 18-64 years old were genotyped for the DA-related SNPs DRD2/ANKK1 Taq1A (rs1800497) and COMT (rs4680), as well as the DA-related uVNTRs DAT-1 (SLC6A3) and MAO-A. A multi-locus DA composite score was formed from these 4 polymorphisms using genotypes known to have a functional impact resulting in modified DA signaling. Binge frequency (Eating Disorder Examination - Interview) and body composition (Tanita BC-418) were assessed in a pre-post analysis to examine genetic predictors of treatment response in women living with obesity and BED. Secondary data analysis was conducted on a cross-sectional comparison of three groups of women enrolled in trial group treatment for BED: women living with obesity and BED (n = 72), obesity without BED (n = 27), and normal-weight without BED (n = 45). RESULTS: There were no significant genotype × time interactions related to anthropometrics or binge frequency for any individual DA genotypes, or to the composite score reflecting DA availability. At baseline, there were no significant between-group differences in frequencies of DA-related alleles, nor were there associations between genotypes and anthropometrics. CONCLUSIONS: Our study found no evidence to suggest that the DRD2/ANKK1 Taq1A, COMT, MAO-A, or DAT-1 polymorphisms are associated with response to behavioral intervention for BED as measured by changes in binge frequency. Future studies should examine a greater variety of dopaminergic polymorphisms, other candidate genes that target other neurotransmitter systems, as well as examine their impact on both behavioral and pharmacological-based treatment for BED.