Using the Power Wheel as a transformative tool to promote equity through spaces and places of patient engagement.

BACKGROUND: Patient engagement is the active collaboration between patient partners and health system partners towards a goal of making decisions that centre patient needs-thus improving experiences of care, and overall effectiveness of health services in alignment with the Quintuple Aim. An important but challenging aspect of patient engagement is including diverse perspectives particularly those experiencing health inequities. When such populations are excluded from decision-making in health policy, practice and research, we risk creating a healthcare ecosystem that reinforces structural marginalisation and perpetuates health inequities. APPROACH: Despite the growing body of literature on knowledge coproduction, few have addressed the role of power relations in patient engagement and offered actionable steps for engaging diverse patients in an inclusive way with a goal of improving health equity. To fill this knowledge gap, we draw on theoretical concepts of power, our own experience codesigning a novel model of patient engagement that is equity promoting, Equity Mobilizing Partnerships in Community, and extensive experience as patient partners engaged across the healthcare ecosystem. We introduce readers to a new conceptual tool, the Power Wheel, that can be used to analyse the interspersion of power in the places and spaces of patient engagement. CONCLUSION: As a tool for ongoing praxis (reflection +action), the Power Wheel can be used to report, reflect and resolve power asymmetries in patient-partnered projects, thereby increasing transparency and illuminating opportunities for equitable transformation and social inclusion so that health services can meet the needs and priorities of all people.

Toward equity-oriented cancer care: a Strategy for Patient-Oriented Research (SPOR) protocol to promote equitable access to lung cancer screening.

BACKGROUND: Screening for lung cancer with low dose CT can facilitate the detection of early-stage lung cancers that are amenable to treatment, reducing mortality related to lung cancer. Individuals are considered eligible for lung cancer screening if they meet specific high-risk criteria, such as age and smoking history. Population groups that are at highest risk of lung cancer, and therefore, the target of lung cancer screening interventions, are also the least likely to participate in lung cancer screening. This can lead to a widening of health inequities. Deliberate effort is needed to both reduce lung cancer risk (through upstream interventions that promote smoking cessation) as well as midstream interventions that promote equitable access to lung cancer screening. METHODS: This protocol paper describes an equity-informed patient-oriented research study. Our study aims to promote equitable access to lung cancer screening by partnering with patients to co-design an e-learning module for healthcare providers. The learning module will describe the social context of lung cancer risk and promote access to lung cancer screening by increasing equity at the point of care. We have applied the Generative Co-Design Framework for Healthcare Innovation and detail our study processes in three phases and six steps: Pre-design (establishing a study governance structure); Co-design (identifying research priorities, gathering and interpreting data, co-developing module content); and Post-design (pilot testing the module and developing an implementation plan). DISCUSSION: Patient engagement in research can promote the design and delivery of healthcare services that are accessible and acceptable to patients. This is particularly important for lung cancer screening as those at highest risk of developing lung cancer are also those who are least likely to participate in lung cancer screening. By detailing the steps of our participatory co-design journey, we are making visible the processes of our work so that they can be linked to future outcomes and related impact, and inform a wide range of patient co-led processes.

Lung cancer is the most commonly diagnosed cancer in Canada and is responsible for a quarter of all cancer-related deaths in the country. Screening for lung cancer using tools such as a CT scan can allow us to find lung cancers when they are still small and curable. People can receive a lung CT scan depending on how old they are and for how long they have smoked cigarettes. Certain groups of people, particularly those who have fewer resources such as time and money, and those who experience injustice because of who they are and how they look are less likely to participate in lung cancer screening. We can increase participation in lung cancer screening by educating healthcare providers on appropriate and timely ways to talk to patients about lung cancer screening. In this paper, we outline the steps of a patient-partnered study in which many different stakeholders such as patients, providers and policy-makers have come together with a goal to improve equity in access to lung cancer screening. We will do this by jointly creating an online learning module that will educate healthcare providers on how life experiences shape smoking behaviour and lung cancer risk. The module will also impart key skills on how to deliver care which is timely, appropriate and safe. Once the module is ready it will be freely available to all healthcare providers to support the fair and just delivery of lung cancer screening in the province of Ontario and elsewhere.

Interactive Visualization Applications in Population Health and Health Services Research: Systematic Scoping Review.

BACKGROUND: Simple visualizations in health research data, such as scatter plots, heat maps, and bar charts, typically present relationships between 2 variables. Interactive visualization methods allow for multiple related facets such as numerous risk factors to be studied simultaneously, leading to data insights through exploring trends and patterns from complex big health care data. The technique presents a powerful tool that can be used in combination with statistical analysis for knowledge discovery, hypothesis generation and testing, and decision support. OBJECTIVE: The primary objective of this scoping review is to describe and summarize the evidence of interactive visualization applications, methods, and tools being used in population health and health services research (HSR) and their subdomains in the last 15 years, from January 1, 2005, to March 30, 2019. Our secondary objective is to describe the use cases, metrics, frameworks used, settings, target audience, goals, and co-design of applications. METHODS: We adapted standard scoping review guidelines with a peer-reviewed search strategy: 2 independent researchers at each stage of screening and abstraction, with a third independent researcher to arbitrate conflicts and validate findings. A comprehensive abstraction platform was built to capture the data from diverse bodies of literature, primarily from the computer science and health care sectors. After screening 11,310 articles, we present findings from 56 applications from interrelated areas of population health and HSR, as well as their subdomains such as epidemiologic surveillance, health resource planning, access, and use and costs among diverse clinical and demographic populations. RESULTS: In this companion review to our earlier systematic synthesis of the literature on visual analytics applications, we present findings in 6 major themes of interactive visualization applications developed for 8 major problem categories. We found a wide application of interactive visualization methods, the major ones being epidemiologic surveillance for infectious disease, resource planning, health service monitoring and quality, and studying medication use patterns. The data sources included mostly secondary administrative and electronic medical record data. In addition, at least two-thirds of the applications involved participatory co-design approaches while introducing a distinct category, embedded research, within co-design initiatives. These applications were in response to an identified need for data-driven insights into knowledge generation and decision support. We further discuss the opportunities stemming from the use of interactive visualization methods in studying global health; inequities, including social determinants of health; and other related areas. We also allude to the challenges in the uptake of these methods. CONCLUSIONS: Visualization in health has strong historical roots, with an upward trend in the use of these methods in population health and HSR. Such applications are being fast used by academic and health care agencies for knowledge discovery, hypotheses generation, and decision support. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14019.