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Stay-at-home and lock-down orders issued by the Ontario government at the beginning of the COVID-19 pandemic led to the closure of many community-based programs for people labelled/with intellectual disabilities. L'Arche Toronto Sol Express, an interdisciplinary arts program located in Toronto, is one example of a program that rapidly changed its program delivery to an online format so that participants could remain engaged and collaborative projects could continue. Similarly, participants had to adapt to new programs with virtual formats, and to accessing programs from their own homes as opposed to gathering with others in the community.

To reflect on these changes, Sol Express members and creative facilitators together conducted a participatory research project which considered the impact of the online format on individual participants and the group as a whole. Following the principles of emancipatory and participatory research, a research team was established and focus groups were held to explore people's experiences.

Our findings suggest that while there were many difficult aspects to the pandemic, people also experienced situations of learning and growth. However, our project also points to issues of inequity in the pandemic's effects, such as the inability for technology to incorporate diverse communication methods, and concerns regarding members of the extended community who remain disengaged or ‘lost’ due to a lack of technological and personal support.

Although our research focused on an arts group for people labelled/with intellectual disabilities, our findings can be applied to the broader community, especially regarding the benefits of in-person gathering and what is lost when programs are held exclusively online.

Critical race theory (CRT) seems to face a never-ending baptism by fire. When the Trump administration sought to ban CRT from American federal training courses in 2020, this may have come as a shock to few (Lang, 2020). Perhaps of greater surprise was that mutual sentiments resonated with the UK Minister for Equalities Kemi Badenoch, a black female, who appears to oppose the teaching of CRT in principle (Thrilling, 2020). The resurgence of such denunciations is problematic in a Western world which is primed for social activism, particularly for scholars in higher education institutions, where CRT has been gaining traction as a guiding framework for research into antiracism, fairness and affirmative action. This chapter suggests that the condemnation of CRT is neither unexpected nor is it altogether absurd. Nevertheless, it aims to provide a balanced metatheoretical ‘criticism’ of CRT and offer a view on the suitability of, and prospects for, its activist research agenda in higher education. Quite often, criticisms of CRT reflect issues with its origin as a troubled bricolage of conveniently assembled ‘tenets’, which do not lend themselves easily to the burden of evidentiary production required in higher education research and practice. In this review, I analyse CRT, through its bricolage-style characteristics, as primarily an explanatory theory, with respect to its application against racialised issues in higher education policy. It is hoped this chapter offers academic and activist researchers a way past the shadow of CRT's bricolage, by defusing some of the misgivings towards its inherent limitations.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

This is the second in a series of papers focused on alcohol and substance abuse rehabilitation centers. Centers face the ongoing challenge of validating outcomes to meet the burden of evidence for insurance companies. In the first paper, data mining was used to establish baseline patterns in treatment success rates, for the Futures: Palm Beach Rehabilitation Center, that have a direct impact on a client’s ability to receive insurance coverage for treatment programs. In this paper, we examine 2016 outcomes and report on facility efficacy, alumni progression and sobriety, and forecast treatment success rates (short and long term) in support of client insurability. Data collection has been standardized and includes admissions data, electronic medical records data, satisfaction survey data, post-discharge survey data, Centers for Disease Control (CDC) data, and demographic data. Clustering, partitioning, ANOVA, stepwise regression and stepwise Logistic regression are applied to the data to determine statistically significant drivers of treatment success.