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IntroductionFifteen years ago almost all primary care physicians (PCPs) were paid fee-for-service. Now, many physicians receive other payments as well, including capitation payments, incentives and bonuses and funding for other health professionals. It is challenging to track these changes in primary care payment and understand how they relate to individual patients.
Objectives and ApproachThe objectives of this study were to assess changes in PCP payments from 2002/03 to 2011/12 and examine differences in per capita investment by urban-rural status, recent arrival (proxy for immigrant status) and income quintile. This required a three-step approach: assigning payments to physicians, assigning patients to physicians and then apportioning the payments by patient. Payments were apportioned based on the type of payment and how the data were captured. For example, capitation payments were paid monthly, but without any detail as to which patients they were for, so all capitation payments were summed and apportioned among all rostered patients.
ResultsAll PCPs for whom we had payment data and to whom patients could be assigned were included. Three types of physician-patient 'relationships' were identified: the patient was on the physician's formal roster; the patient was 'virtually' rostered to the physician who provided the plurality of their care; or the patient was part of the physician's overall panel, which includes all patients seen during the year, rostered and not. The type of relationship determined which payment were allocated to each patient. When the $3.5B in payments were apportioned and different populations compared, we found inequities in new primary care investment by income, immigrant status and rurality. For example, we found a disproportionate investment in interdisciplinary teams for non-immigrant Ontarians living in more well-off suburban areas.
Conclusion/ImplicationsEstimating per capita primary care investment is a challenging but worthwhile undertaking. The results of this study suggest that the Government of Ontario should facilitate increased participation in new primary care models by immigrants and people living in major urban centres.

BACKGROUND: Well-established performance measures for organ donation programs do not fully address the complexity and multifactorial nature of organ donation programs such as the influence of relationships and organizational attributes. OBJECTIVE: To synthesize the current evidence on key organizational attributes and processes of international organ donation programs associated with successful outcomes and to generate a framework to categorize those attributes. DESIGN: Scoping Review using a mixed methods approach for data extraction. SETTING: Databases included PubMed, CINAHL, Embase, LILACS, ABI Business ProQuest, Business Source Premier, and gray literature (organ donation association websites, Google Scholar—first 8 pages), and searches for gray literature were performed, and relevant websites were perused. SAMPLE: Organ donation programs or processes. METHODS: We systematically searched the literature to identify any research design, including text and opinion papers and unpublished material (research data, reports, institutional protocols, government documents, etc). Searches were completed on January 2018, updated it in May 2019, and lastly in March 2020. Title, abstracts, and full texts were screened independently by 2 reviewers with disagreements resolved by a third. Data extraction followed a mixed method approach in which we extracted specific details about study characteristics such as type of research, year of publication, origin/country of study, type of journal published, and key findings. Studies included considered definitions and descriptions of success in organ donation programs in any country by considering studies that described (1) attributes associated with success or effectiveness, (2) organ donation processes, (3) quality improvement initiatives, (4) definitions of organ donation program effectiveness, (5) evidence-based practices in organ donation, and (6) improvements or success in such programs. We tabulated the type and frequency of the presence or absence of reported improvement ...

BACKGROUND: Naturally occurring retirement communities (NORCs), unplanned communities with a high proportion of older adult residents, offer a model to support older adults to age well in place. The aim of this paper is to provide a comprehensive description of the methods used to identify and engage NORCs appropriate for the development of supportive service programming in Canada. METHODS: Three steps were used to identify and select NORCs in which to develop supportive service programming including: 1) identification of potential NORCs using Canadian Census Dissemination Areas, the Ontario Marginalization Index and Google Maps, 2) engagement of property owner/manager to determine the availability of common space for communal programming and willingness of the owner to support programming and, 3) engagement of older adult residents within the NORC to co-design programming. RESULTS: Four cities in the south-east, south-central, and south-west of Ontario, Canada were identified to develop NORCs with supportive service programming. Using the methods described, six NORCs were identified, landlords and older adult residents were engaged, and programs initiated between April 2018 and March 2019. The sites included two private high-rise apartments, a city-owned low-rise subsidized apartment complex, two multi-building private high-rise complexes and a mobile home community. An average of 35 (min 20, max 78) older adult members were engaged in an average of 20.5 unique activity sessions at each site per month. On average, social (54%) and physical activities (30%) were more common than nutritional (10%) and knowledge-sharing (8%). CONCLUSIONS: The increased prevalence of unplanned, geographically-bound NORCs creates an opportunity for governments, social and health service providers and policy makers to support healthy aging in their communities. Our experience with the creation of six new NORCs with supportive service programming provides a tested set of methods that can be applied in other communities.