Learnings from Racialized Adolescents and Young Adults with Lived Experiences of Cancer: "It's Okay to Critique the System That Claims to Save Us".

Interest in AYA cancer care has increased globally over the recent past; however, most of this work disproportionately represents white, heterosexual, middle-income, educated, and able-bodied people. There is recognition in the literature that cancer care systems are not structured nor designed to adequately serve people of colour or other equity-denied groups, and the structural racism in the system prevents prevention, treatment, and delivery of care. This work seeks to examine structural racism and the ways that it permeates into the lived experiences of AYAs in their cancer care. This article represents the first phase of an 18-month, patient-oriented, Participatory Action Research project focused on cancer care for racialized AYAs that is situated within a broader program of research focused on transforming cancer care for AYAs. Semi-structured interviews were completed with 18 AYAs who self-identify as racialized, have lived experiences with cancer, and have received treatment in Canada. Following participant review of their transcripts, the transcripts were de-identified, and then coded by three separate authors. Five main themes were identified using thematic analysis, including the need to feel supported through experiences with (in)fertility, be heard and not dismissed, advocate for self and have others advocate for you, be in community, and resist compliance.

Finding Primary Care-Repurposing Physician Registration Data to Generate a Regionally Accurate List of Primary Care Clinics: Development and Validation of an Open-Source Algorithm.

BACKGROUND: Some Canadians have limited access to longitudinal primary care, despite its known advantages for population health. Current initiatives to transform primary care aim to increase access to team-based primary care clinics. However, many regions lack a reliable method to enumerate clinics, limiting estimates of clinical capacity and ongoing access gaps. A region-based complete clinic list is needed to effectively describe clinic characteristics and to compare primary care outcomes at the clinic level. OBJECTIVE: The objective of this study is to show how publicly available data sources, including the provincial physician license registry, can be used to generate a verifiable, region-wide list of primary care clinics in British Columbia, Canada, using a process named the Clinic List Algorithm (CLA). METHODS: The CLA has 10 steps: (1) collect data sets, (2) develop clinic inclusion and exclusion criteria, (3) process data sets, (4) consolidate data sets, (5) transform from list of physicians to initial list of clinics, (6) add additional metadata, (7) create working lists, (8) verify working lists, (9) consolidate working lists, and (10) adjust processing steps based on learnings. RESULTS: The College of Physicians and Surgeons of British Columbia Registry contained 13,726 physicians, at 2915 unique addresses, 6942 (50.58%) of whom were family physicians (FPs) licensed to practice in British Columbia. The CLA identified 1239 addresses where primary care was delivered by 4262 (61.39%) FPs. Of the included addresses, 84.50% (n=1047) were in urban locations, and there was a median of 2 (IQR 2-4, range 1-23) FPs at each unique address. CONCLUSIONS: The CLA provides a region-wide description of primary care clinics that improves on simple counts of primary care providers or self-report lists. It identifies the number and location of primary care clinics and excludes primary care providers who are likely not providing community-based primary care. Such information may be useful for estimates of capacity of primary care, as well as for policy planning and research in regions engaged in primary care evaluation or transformation.

Team-based care Evaluation and Adoption Model (TEAM) Framework: Supporting the comprehensive evaluation of primary care transformation over time.

OBJECTIVE: To introduce the new Team-based care Evaluation and Adoption Model (TEAM) Framework. QUALITY OF EVIDENCE: The initial TEAM Framework was derived from a series of reviews and consultations with academic and clinical experts. In a parallel process, team-based primary and community care evaluation in Canada was assessed through a structured review of academic literature, followed by a review of policy literature of existing primary care evaluation frameworks. MAIN MESSAGE: The review of academic articles alongside an analysis of policy documents and existing evaluation frameworks in primary care resulted in the development of the 10-dimension TEAM Framework. CONCLUSION: Primary care transformation requires evaluation over time. The TEAM Framework provides a comprehensive framework for assessing evidence needed to support short- and long-term actionable improvements for team-based primary and community care in Canada. This framework will inform the development of an evaluation tool kit for primary care teams.

Team Mapping: A Novel Method to Help Community Primary Healthcare Practices Transition to Team-Based Care.

The team mapping method engages participants in rapid, facilitated co-creation workshops to help groups explore how to work together in a primary care team. It uses patient personas (local evidence-based simulated cases) to explore team structure through paper prototyping circles of care (the persona's healthcare system). Roles and tasks are collectively defined through the discussion. Team mapping builds on three foundational methods and, through a three-stage process, facilitates the formation and strengthening of new and existing relationships, fostering team development through the process. This paper describes team mapping, outlines when it can be applied and highlights the benefits for teams.