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Detection and management of late-life depression largely relies on primary care. Yet in Singapore, older adults are unlikely to seek help for their mental health from their primary care providers. This qualitative descriptive study explores how late-life depression manifests to general practitioners (GPs) in the Singaporean primary care setting.

Background:Lack of patient access to family physicians in Canada is a concern. The role of recent physician graduates in this problem of supply of primary care services has not been established. We sought to establish whether career stage or graduation cohort were related to family physician practice volume and continuity of care over time.Methods:We conducted a retrospective cohort study of family physician practice from 1997/98 to 2017/18. We collected administrative health and physician claims data in British Columbia, Manitoba, Ontario and Nova Scotia. We included all physicians who registered with their respective provincial regulatory colleges as having a medical specialty of family practice or who had billed the provincial health insurance system for patient care as family physicians, or both. We used regression models to isolate the effects of 3-year categories of years in practice (at all career stages), time period and cohort on patient contacts and physician-level continuity of care.Results:Between 1997/98 and 2017/18, the median number of patient contacts per provider per year fell by between 515 and 1736 contacts in the 4 provinces examined. Median contacts peaked at 27–29 years in practice in all provinces, and median physician-level continuity of care increased until 30 or more years in practice. We found no association between graduation cohort and patient contacts or physician-level continuity of care.Interpretation:Recent cohorts of family physicians practise similarly to their predecessors in terms of practice volumes and continuity of care. Because family physicians of all career stages showed declining patient contacts, we suggest that system-wide solutions to recent challenges in the accessibility of primary care in Canada are needed.

Hip and knee replacement surgery is common, yet more than 10% of patients who undergo total hip replacement (THR) and total knee replacement (TKR) report postsurgery dissatisfaction. Recommendations for improving patient experience after total joint replacement surgery include increasing support to patients, including having a patient navigator available to patients before and after surgery. This article reports on THR and TKR patients' experiences of using an orthopaedic patient navigator. We employed qualitative description to understand THR and TKR patients' experiences of interacting with an orthopaedic patient navigator in a community teaching hospital. Telephone interviews were conducted with 15 purposefully selected total joint replacement patients (TKR: n= 11; THR: n= 4) who had at least one contact with the navigator. Interview transcripts were analyzed using thematic analysis. Patients described receiving physical support services, emotional support services, informational support services, and care coordination services from the patient navigator. All interactions with the patient navigator were positive. Knowing the patient navigator was available for any future concerns also provided indirect benefits of reassurance, comfort, and security. Patients described these direct and indirect benefits as potentially having long-lasting and resilient positive effects. An orthopaedic patient navigator can have a positive impact on patients' THR and TKR experience and fill gaps in support identified in earlier studies. Addressing patients' complex and varied care needs is well suited to a clinical nurse specialist in the role. Investing in an orthopaedic patient navigator provides reassurance to patients that their needs are a priority and will be addressed in a timely manner.

Abstract: This paper reports an analysis of the proposed rule to combine medically under‐served population (MUP) and health professional shortage area (HPSA) designations, as published by the Bureau of Primay Health Care (BPHC) in theFederal Register on Sept. 1, 1998 (Department of Health and Human Services, 1998). The efects of the proposed rule overall and on rural communities were examined, particularly with respect to current whole county HPSA designations and eligibility for federal assistance programs. National, county‐level estimates of primay care provider counts and other measures included in the proposed rule were used. Different primary care provider sources were compared; results were highly dependent on the data source and the inclusions of counts of nurse practitioners and physician assistants. The projections of losses from the proposed rule were higher than those of the BPHC, probably due to the use of different sources for provider counts. Overall, the authors projected that more than 50 percent of current whole‐county HPSAs would lose designation using the proposed rule. The proportion of rural counties that lost designation was not significantly greater than the proportion of urban counties, but because there are many more rural counties, more de‐designations were projected to occur in rural areas. The researchers also predicted that 58 percent of rural whole‐county HPSAs with National Health Service Corps providers would lose their designation, but most rural whole‐county HPSAs with Community and Migrant Health Centers or Rural Health Clinics retained their MUP designation using the proposed rule. The proposed rule likely has a larger effect on current designations than originally projected by the BPHC.

Physician impact analysis (PIA) is a human resource planning tool used to predict the impact on hospital resources of adding a new or replacement physician to a hospital's medical staff. This article describes the findings of a study which examined the extent to which PIAs are used in Ontario acute care hospitals and the accuracy of PIA predictions. The results suggest that although PIA appears to be widely used, there is no evidence that it meets the intended policy objective of accurately predicting physician hospital resource use.

Physician impact analysis (PIA) is a human resource planning tool used to predict the impact on hospital resources of adding a new or replacement physician to a hospital's medical staff. This article describes the findings of a study which examined the extent to which PIAs are used in Ontario acute care hospitals and the accuracy of PIA predictions. The results suggest that although PIA appears to be widely used, there is no evidence that it meets the intended policy objective of accurately predicting physician hospital resource use.