Understanding drug exceptional access programs (DEAPs) in Canada, and their associated social and political issues.

Drug exceptional access programs (DEAPs) exist across Canada to address gaps in access to pharmaceuticals. These programs circumvent standard procedures, raising epistemic, economic, social and political issues. This commentary provides insights into these issues by revealing the context and procedures on which these programs depend.

Vaccine promotion strategies in community pharmacy addressing vulnerable populations: a scoping review.

CONTEXT: Social determinants of health are drivers of vaccine inequity and lead to higher risks of complications from infectious diseases in under vaccinated communities. In many countries, pharmacists have gained the rights to prescribe and administer vaccines, which contributes to improving vaccination rates. However, little is known on how they define and target vulnerable communities. OBJECTIVE: The purpose of this study is to describe how vulnerable communities are targeted in community pharmacies. METHODS: We performed a systematic search of the Embase and MEDLINE database in August 2021 inspired by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocols (PRISMA ScR). Articles in English, French or Spanish addressing any vaccine in a community pharmacy context and that target a population defined as vulnerable were screened for inclusion. RESULTS: A total of 1039 articles were identified through the initial search, and 63 articles met the inclusion criteria. Most of the literature originated from North America (n = 54, 86%) and addressed influenza (n = 29, 46%), pneumococcal (n = 14, 22%), herpes zoster (n = 14, 22%) or human papilloma virus vaccination (n = 14, 22%). Lifecycle vulnerabilities (n = 48, 76%) such as age and pregnancy were most often used to target vulnerable patients followed by clinical factors (n = 18, 29%), socio-economical determinants (n = 16, 25%) and geographical vulnerabilities (n = 7, 11%). The most frequently listed strategy was providing a strong recommendation for vaccination, promotional posters in pharmacy, distributing leaflet/bag stuffers and providing staff training. A total of 24 barriers and 25 facilitators were identified. The main barriers associated to each vulnerable category were associated to effective promotional strategies to overcome them. CONCLUSION: Pharmacists prioritize lifecycle and clinical vulnerability at the expense of narrowing down the definition of vulnerability. Some vulnerable groups are also under targeted in pharmacies. A wide variety of promotional strategies are available to pharmacies to overcome the specific barriers experienced by various groups.

Structuring and organizing interprofessional healthcare in partnership with patients with diabetes: the INterprofessional Management and Education in Diabetes care (INMED) pathway.

Type 2 diabetes is a complex chronic disease that requires ongoing monitoring by an interprofessional team to prevent complications. The INMED (INterprofessional Management and Education in Diabetes) care pathway was developed by our team to optimize primary care services for these patients and their families. The objective of this study is to describe the preliminary results of its adoption and implementation. The INMED care pathway is organized into four axes: (a) continuing professional education, (b) self-management support, (c) case management, and (d) ongoing evaluation of the quality of diabetes care and services. A multiple-case study is underway to document its effects on practice change using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Preliminary results on the adoption and implementation revealed some strengths: (a) regular patient follow-up by the case manager, (b) scheduling of physician appointments when required, and (c) regular screening for risk factors. Barriers were also identified: (a) lack of clear understanding of the case manager role, (b) lack of referrals to team members, and (c) lack of use of the motivational interview approach. The INMED care pathway is being adopted by primary care teams but challenges need to be overcome to improve its reach and effectiveness.

Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy.

BACKGROUND: Automated radiologic analysis using computer-aided detection software (CAD) could facilitate chest X-ray (CXR) use in tuberculosis diagnosis. There is little to no evidence on the accuracy of commercially available deep learning-based CAD in different populations, including patients with smear-negative tuberculosis and people living with human immunodeficiency virus (HIV, PLWH). METHODS: We collected CXRs and individual patient data (IPD) from studies evaluating CAD in patients self-referring for tuberculosis symptoms with culture or nucleic acid amplification testing as the reference. We reanalyzed CXRs with three CAD programs (CAD4TB version (v) 6, Lunit v3.1.0.0, and qXR v2). We estimated sensitivity and specificity within each study and pooled using IPD meta-analysis. We used multivariable meta-regression to identify characteristics modifying accuracy. RESULTS: We included CXRs and IPD of 3727/3967 participants from 4/7 eligible studies. 17% (621/3727) were PLWH. 17% (645/3727) had microbiologically confirmed tuberculosis. Despite using the same threshold score for classifying CXR in every study, sensitivity and specificity varied from study to study. The software had similar unadjusted accuracy (at 90% pooled sensitivity, pooled specificities were: CAD4TBv6, 56.9% [95% confidence interval {CI}: 51.7-61.9]; Lunit, 54.1% [95% CI: 44.6-63.3]; qXRv2, 60.5% [95% CI: 51.7-68.6]). Adjusted absolute differences in pooled sensitivity between PLWH and HIV-uninfected participants were: CAD4TBv6, -13.4% [-21.1, -6.9]; Lunit, +2.2% [-3.6, +6.3]; qXRv2: -13.4% [-21.5, -6.6]; between smear-negative and smear-positive tuberculosis was: were CAD4TBv6, -12.3% [-19.5, -6.1]; Lunit, -17.2% [-24.6, -10.5]; qXRv2, -16.6% [-24.4, -9.9]. Accuracy was similar to human readers. CONCLUSIONS: For CAD CXR analysis to be implemented as a high-sensitivity tuberculosis rule-out test, users will need threshold scores identified from their own patient populations and stratified by HIV and smear status.

Under consent: participation of people with HIV in an Ebola vaccine trial in Canada.

BACKGROUND: Little is known about volunteers from Northern research settings who participate in vaccine trials of highly infectious diseases with no approved treatments. This article explores the motivations of HIV immunocompromised study participants in Canada who volunteered in a Phase II clinical trial that evaluated the safety and immunogenicity of an Ebola vaccine candidate. METHODS: Observation at the clinical study site and semi-structured interviews employing situational and discursive analysis were conducted with clinical trial participants and staff over one year. Interviews were recorded, transcribed and analysed using critical qualitative interpretivist thematic analytical techniques. Patterns were identified, clustered and sorted to generate distinct and comprehensive themes. We then reassembled events and contexts from the study participants' stories to develop two ideal portraits based on "composite characters" based on study participants features. These provide ethnographically rich details of participants' meaningful social worlds while protecting individual identities. RESULTS: Ten of the 14 clinical trial participants, and 3 study staff were interviewed. Participant demographics and socio-economic profiles expressed limited contextual diversity. Half were men who have sex with men, half were former injection drug users experiencing homelessness, one was female, none were racialized minorities and there were no people from HIV endemic countries. Fully 90% had previous involvement in other clinical studies. Their stories point to particular socio-economic situations that motivated their participation as clinical labor through trial participation. CONCLUSIONS: Our findings support Fisher's argument of "structural coercion" in clinical trial recruitment of vulnerable individuals experiencing precarious living conditions. Clinical trials should provide more detail of the structural socio-economic conditions and healthcare needs which lie "under consent" of study participants. Going well beyond an overly convenient narrative of altruism, ethical deliberation frameworks need to sufficiently address the structural conditions of clinical trials. We offer concrete possibilities for this and acknowledge that further research and clinical data should be made available underlying study participant contexts with regards to recruitment and participation in resource poor settings, in both the South and the North.

Learning from public health and hospital resilience to the SARS-CoV-2 pandemic: protocol for a multiple case study (Brazil, Canada, China, France, Japan, and Mali).

BACKGROUND: All prevention efforts currently being implemented for COVID-19 are aimed at reducing the burden on strained health systems and human resources. There has been little research conducted to understand how SARS-CoV-2 has affected health care systems and professionals in terms of their work. Finding effective ways to share the knowledge and insight between countries, including lessons learned, is paramount to the international containment and management of the COVID-19 pandemic. The aim of this project is to compare the pandemic response to COVID-19 in Brazil, Canada, China, France, Japan, and Mali. This comparison will be used to identify strengths and weaknesses in the response, including challenges for health professionals and health systems. METHODS: We will use a multiple case study approach with multiple levels of nested analysis. We have chosen these countries as they represent different continents and different stages of the pandemic. We will focus on several major hospitals and two public health interventions (contact tracing and testing). It will employ a multidisciplinary research approach that will use qualitative data through observations, document analysis, and interviews, as well as quantitative data based on disease surveillance data and other publicly available data. Given that the methodological approaches of the project will be largely qualitative, the ethical risks are minimal. For the quantitative component, the data being used will be made publicly available. DISCUSSION: We will deliver lessons learned based on a rigorous process and on strong evidence to enable operational-level insight for national and international stakeholders.

Pharmaceutical practices before and throughout the opioid crisis: A scoping review.

METHODS: Opioid misuse has reached epidemic status in many countries. This crisis-recognized since 2014-questions the practices of prescribing and dispensing. Did this public health issue change pharmaceutical practices? This literature review presents pharmaceutical practices regarding treatment of noncancer pain. We will assess whether these practices changed after the declaration of the crisis. We will also present barriers and facilitators to their implementation in real life to understand the distance between them and current practices. A scoping review of the literature was conducted on PubMed, Medline, and Embase for references dealing with pharmaceutical practices regarding noncancer pain management, in French and English, from 2000 to 2018. RESULTS: The search yielded 250 results, with 25 studies surviving the exclusion process. Twenty studies took place in the United States, the country most affected by the crisis. Interventions took place as interprofessional collaboration (n = 14), patient counseling (6), or a combination of these (5). Although the nature of the interventions remained constant through the crisis, the number of publications greatly increased over time. The studies demonstrated pharmacists' upstream contributions regarding pain management and opioid use. Several large-scale implementation issues, including knowledge gaps and communication barriers, have been reported in these studies and in others that gathered opinions and perspectives of prescribers, pharmacists, and patients. CONCLUSION: Our review showed that the opioid crisis did not modify the nature of pharmaceutical practices regarding pain treatment and opioid management, but the number of studies reporting these practices greatly increased since its onset. Barriers to implementing the best practices to reduce opioid harm have been identified to explain slow integration in daily practice. Adjustments to teaching and practice methods such as a reviewed pain treatment curriculum, standardized tools, and decision-making algorithms could prove beneficial.

Measurement, "scriptural economies," and social justice: governing HIV/AIDS treatments by numbers in a fragile state, the Central African Republic (CAR).

Fragile states have been raising increasing concern among donors since the mid-2000s. The policies of the Global Fund to fight HIV/AIDS, Malaria, and Tuberculosis (GF) have not excluded fragile states, and this source has provided financing for these countries according to standardized procedures. They represent interesting cases for exploring the meaning and role of measurement in a globalized context. Measurement in the field of HIV/AIDS and its treatment has given rise to a private outsourcing of expertise and auditing, thereby creating a new form of value based on the social process of registration and the creation of realities produced by the intervention itself. These "scriptural economies" must be questioned in terms of the production of knowledge, but also in terms of social justice. Governing HIV/AIDS treatments by numbers in a fragile state is explored in this article through the experience of the Central African Republic (CAR) in terms of epidemiology and access to antiretroviral drugs. The unexpected effects of performance-based programs in this context underline the need for global health governance to be re-embedded into a social justice framework.

Tweaking algorithms. Technopolitical issues associated with artificial intelligence based tuberculosis detection in global health.

Computer-aided detection algorithms based on artificial intelligence are increasingly being tested and used as a means for detecting tuberculosis in countries where the epidemic is still present. Computer-aided detection tools are often presented as a global solution that can be deployed in all the geographical areas concerned by tuberculosis, but at the same time, they need to be adjusted and calibrated according to local populations' characteristics. The aim of this article is to analyze the tensions between the standardization of computer-aided detection algorithms and their local adaptation and the political issues associated with these tensions. We undertook a qualitative analysis of practices associated with tuberculosis detection algorithms in different contexts, contrasting the perspectives of various stakeholders. Algorithms embed the promise of standardization through automation and the bypassing of variable human expertise such as that of radiologists, they are nonetheless objects of local practices that we have characterized as "tweaking." This work of tweaking reveals how the technology is situated but also the many concerns of the users and workers (insertion in care, control over infrastructure, and political ownership). This should be better considered to truly make computer-aided detection innovative tools for tuberculosis management in global health.

AI for Detection of Tuberculosis: Implications for Global Health.

Tuberculosis, which primarily affects developing countries, remains a significant global health concern. Since the 2010s, the role of chest radiography has expanded in tuberculosis triage and screening beyond its traditional complementary role in the diagnosis of tuberculosis. Computer-aided diagnosis (CAD) systems for tuberculosis detection on chest radiographs have recently made substantial progress in diagnostic performance, thanks to deep learning technologies. The current performance of CAD systems for tuberculosis has approximated that of human experts, presenting a potential solution to the shortage of human readers to interpret chest radiographs in low- or middle-income, high-tuberculosis-burden countries. This article provides a critical appraisal of developmental process reporting in extant CAD software for tuberculosis, based on the Checklist for Artificial Intelligence in Medical Imaging. It also explores several considerations to scale up CAD solutions, encompassing manufacturer-independent CAD validation, economic and political aspects, and ethical concerns, as well as the potential for broadening radiography-based diagnosis to other nontuberculosis diseases. Collectively, CAD for tuberculosis will emerge as a representative deep learning application, catalyzing advances in global health and health equity. Keywords: Computer-aided Diagnosis (CAD), Conventional Radiography, Thorax, Lung, Machine Learning Supplemental material is available for this article. © RSNA, 2024.

How resilience affected public health research during COVID-19 and why we should abandon it.

Resilience has accompanied the COVID-19 pandemic as a rallying motto, with calls by governments for a resilient society, resilient families and schools, and, of course, resilient healthcare systems in the face of this unprecedented pandemic shock. Resilience had already gained traction as an analytical concept in public health research for approximately a decade. It became a key concept despite the recognition of its lack of conceptual consistency. The COVID-19 pandemic presented itself as a perfect test-case and encouraged a multiplicity of studies on resilience and health care systems. In this commentary, we add to the existing critiques of resilience in the social sciences by reflecting on the effects of resilience when used to frame empirical inquiries and to draw lessons from the crisis. Resilience as a concept is unable to address crucial structural issues that health systems already faced throughout the world, and it remains a non-neutral political notion. We argue that we need to resist a generalised view of resilience and work with alternative imaginaries.

Digital Therapies (DTx) as New Tools within Physicians' Therapeutic Arsenal: Key Observations to Support their Effective and Responsible Development and Use.

In recent years, there has been a swift rise in the development of digital therapies (DTx). As a result of various technological advances and accessibility to patients, it is now possible to develop and offer therapeutic interventions in a digital manner. These take the form of an evidence-based intervention that is administered in digital form to prevent, manage, or treat a medical condition. What makes DTx significantly different from other types of digital applications or services (e.g., wellness applications) is that they are interventions authorised by regulatory agencies for the treatment, like a drug, of a health condition. Yielding actual therapeutic benefits and being at the crossroads of health and digital means that DTx are subject to both the upsides and downsides of both sectors. Thus, it is of particular interest to look at the facilitators and barriers to be foreseen in the development, assessment, and implementation of DTx. In this article, we will present key observations and outline the main challenges that may be faced in the development and integration of DTx into practice. It is certain that DTx can represent an interesting avenue for physicians to bring their prescribing role into the 21st century. We conclude with broad lessons that the emerging field of DTx can learn from decades of drug industry practice to avoid history repeating itself and to fast-track the development and ethical and optimal use of DTx.

Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health.

Computer Aided Detection software based on Artificial Intelligence (AI-CAD), combined with chest X-rays have recently been promoted as an easy fix for a complex problem: ending TB by 2030. WHO has recommended the use of such imaging devices in 2021 and many partnerships have helped propose benchmark analysis and technology comparisons to facilitate their "market access". Our aim is to examine the socio-political and health issues that stem from using AI-CAD technology in a global health context conceptualized as a set of practice and ideas organizing global intervention "in the life of others". We also question how this technology, which is not yet fully implemented in routine use, may limit or amplify some inequalities in the care of tuberculosis. We describe AI-CAD through Actor-Network-Theory framework to understand the global assemblage and composite activities associated with detection through AI-CAD, and interrogate how the technology itself may consolidate a specific configuration of "global health". We explore the various dimensions of AI-CAD "health effects model": technology design, development, regulation, institutional competition, social interaction and health cultures. On a broader level, AI-CAD represents a new version of global health's accelerationist model centered on "moving and autonomous-presumed technologies". We finally present key aspects in our research which help discuss the theories mobilized: AI-CAD ambivalent insertion in global health, the social lives of its data: from efficacy to markets and AI-CAD human care and maintenance it requires. We reflect on the conditions that will affect AI-CAD use and its promises. In the end, the risk of new detection technologies such as AI-CAD is indeed that the fight against TB could be reduced to one that is purely technical and technological, with neglect to its social determinants and effects.

Community Pharmacists and Influenza Vaccination: Opportunities and Challenges From a Public Health Perspective.

Context: In Quebec, Bill 31, adopted on March 18, 2020, extended vaccination to pharmacists. Despite many advantages, this new practice comes with public health issues reinforced in the context of COVID-19. Therefore, it is essential to understand the opportunities and challenges of the participation of community pharmacists in influenza vaccination, from a public health perspective by (i) describing the year of 2020-2021 influenza vaccination offer, (ii) its opportunities and challenges, and (iii) its impact on the accessibility of this service newly offered by pharmacists to the most vulnerable people. Methods: This research is a case study from one of the most affected areas by COVID-19 in Canada: Laval. Our method combines documentary analysis and semi-structured interviews with health professionals and public health actors (n = 23). Researchers used a thematic analysis to analyze these results. Results: Most partners (pharmacists, public health administrators) underlined multiple opportunities of this new practice, ie, pharmacists who can vaccinate, particularly for chronically ill patients. However, structural and strategical challenges remain. More specifically, vaccination seemed to only rely on a "first come, first served" basis, which questions public health objectives of vaccination, such as equitable access. Conclusion: The introduction of new actors, such as pharmacists, represents a major opportunity to improve vaccination coverage and reduce the burden of COVID-19 on the health system. However, this delegation of a public health activity to the private sector undoubtedly requires closer coordination with public health institutions.

Supporting Reassigned Hospital Staff During the COVID-19 Pandemic in the Montreal Region: What Does it say About Leadership Styles?

Globally, the COVID-19 pandemic took a high toll on health human resources, especially in contexts where these resources were already fragile. In Quebec, to make up for the shortage of health human resources, and to contain the COVID-19 outbreaks in long-term care facilities, many hospital staff (including a majority of nurses) were sent to those facilities, with varying degrees of support. Building on the body of evidence linking leadership style and resilience, we conducted a qualitative comparative analysis of two hospitals in the Montreal Metropolitan Area, Quebec. We explored respondents' experience of psychosocial support tools provided to hospital staff reassigned to COVID-affected facilities. Data from 27 in-depth interviews with high- and mid-level managers, and front-line workers, was analyzed through the lens of leadership styles. Our findings highlighted how the design and implementation of support tools revealed major differences across the two hospitals' leadership styles (i.e., one hospital expressing leader-centered styles vs. the other expressing follower-centered leadership styles). The expression of these leadership styles was largely shaped by recent policies, notably a major political reform of 2015, which enforced more centralized decision-making. Our study offered additional empirical evidence that leadership styles fostering the recovery of health human resources may be a key indicator of successful response to crises.

How Did an Integrated Health and Social Services Center in the Quebec Province Respond to the COVID-19 Pandemic? A Qualitative Case Study.

During the first and second waves of the pandemic, Quebec was among the Canadian provinces with the highest COVID-19 mortality rates. Facing particularly large COVID-19 outbreaks in its facilities, an integrated health and social services center in the province of Quebec (Canada), developed resilience strategies. To explore these diverse responses to the crisis, we conducted a case study analysis of a Quebec integrated health and social services center, building on a conceptualization of resilience strategies using "configurations" of effects, strategies, and impacts. Qualitative data from 14 indepth interviews conducted in the summer and fall of 2020 with managers and frontline practitioners were analyzed through the lens of situations of "anticipation," "reaction," or "inaction." The findings were discussed in three results dissemination workshops, two with practitioners and one with managers, to discern lessons they learned. Three major configurations emerged: 1) reorganization of services and spaces to accommodate more COVID-19 patients; 2) management of contamination risks for patients and professionals; and 3) management of personal protective equipment (PPE), supplies, and medications. Within these configurations, the responses to the crisis were strongly shaped by the 2015 health care system reforms in Quebec and were constrained by organizational challenges that included a centralized model of governance, a history of substantial budget cuts to longterm care facilities, and a systematic lack of human resources.

Adapting Hospital Work During COVID-19 in Quebec (Canada).

Among hospital responses to the COVID19 pandemic worldwide, service reorganization and staff reassignment have been some of the most prominent ways of adapting hospital work to the expected influx of patients. In this article, we examine work reorganization induced by the pandemic by identifying the operational strategies implemented by two hospitals and their staff to contend with the crisis and then analyzing the implications of those strategies. We base our description and analysis on two hospital case studies in Quebec. We used a multiple case study approach, wherein each hospital is considered a unique case. In both cases, work adaptation through staff reassignment was one of the critical measures undertaken to ensure absorption of the influx of patients into the hospitals. Our results showed that this general strategy was designed and applied differently in the two cases. More specifically, the reassignment strategies revealed numerous healthcare resource disparities not only between health territories, but also between different types of facilities within those territories. Comparing the two hospitals' adaptation strategies showed that past reforms in Quebec determined what these reorganizations could achieve, as well as how they would affect workers and the meaning they gave to their work.

Communication and Information Strategies Implemented by Four Hospitals in Brazil, Canada, and France to Deal with COVID-19 Healthcare-Associated Infections.

During the COVID-19 pandemic outbreak, COVID-19 healthcare-associated infections (HAI) and risk management became major challenges facing hospitals. Using evidence from a research project, this commentary presents: 1) various communication and information strategies implemented by four hospitals and their staff in Brazil, Canada and France to reduce the risks of COVID-19 HAIs, and how they were perceived by hospital staff; 2) the flaws in communication in the hospitals; and 3) a proposed agenda for research on and action to improve institutional communications for future pandemics. By analyzing "top-down" strategies at the organizational level and spontaneous strategies initiated by and between professionals, this study shows that during the first waves of the pandemic, reliable information and clear communication about guidelines and health protocols' changes can help alleviate fears among staff and avoid misapplication of protocols, thereby reducing infection risks. There was a lack of a "bottom-up" communication channel, while, when making decisions, it is crucial to listen to and fully take into account staff's voices, experiences, and feelings. More balanced communication between hospital administrators and staff could strengthen team cohesion and lead to better enforcement of protocols, which in turn will reduce the risk of contamination, alleviate the potential impacts on staff health, and improve the quality of care provided to patients.

Hospital Governance During the COVID-19 Pandemic: A Multiple-Country Case Study.

In response to the disruptions caused by COVID-19, hospitals around the world proactively or reactively developed and/or re-organized their governance structures to manage the COVID-19 response. Hospitals' governance played a crucial role in their ability to reorganize and respond to the pressing needs of their staff. We discuss and compare six hospital cases from four countries on different continents: Brazil, Canada, France, and Japan. Our study examined how governance strategies (e.g., special task forces, communications management tools, etc.) were perceived by hospital staff. Key findings from a total of 177 qualitative interviews with diverse hospital stakeholders were analyzed using three categories drawn from the European Observatory on Health Systems and Policies framework on health systems resilience during the COVID-19 pandemic: 1) delivering a clear and timely COVID-19 response strategy; 2) coordinating effectively within (horizontally) and across (vertically) levels of decision-making; and 3) communicating clearly and transparently with the hospital's diverse stakeholders. Our study gleaned rich accounts for these three categories, highlighting significant variations across settings. These variations were primarily determined by the hospitals' environment prior to the COVID-19 crisis, namely whether there already existed a culture of managerial openness (including spaces for social interactions among hospital staff) and whether preparedness planning and training had been routinely integrated into their activities.