Background: Access to primary healthcare is an important social determinant of health and having a regular general practitioner (GP) has been shown to improve access. In Canada, socio-economically disadvantaged patients are more likely to be unattached (i.e. not have a regular GP). In the province of Quebec, where over 30% of the population is unattached, centralized waiting lists were implemented to help patients find a GP. Our objectives were to examine the association between social and material deprivation and 1) likelihood of attachment, and 2) wait time for attachment to a GP through centralized waiting lists.
Methods: A cross-sectional study was conducted in five local health networks in Quebec, Canada, using clinical administrative data of patients attached to a GP between June 2013 and May 2015 (n = 24, 958 patients) and patients remaining on the waiting list as of May 2015 (n = 49, 901), using clinical administrative data. Social and material area deprivation indexes were used as proxies for patients' socio-economic status. Multiple regressions were carried out to assess the association between deprivation indexes and 1) likelihood of attachment to a GP and 2) wait time for attachment. Analyses controlled for sex, age, local health network and variables related to health needs.
Results: Patients from materially medium, disadvantaged and very disadvantaged areas were underrepresented on the centralized waiting lists, while patients from socially disadvantaged and very disadvantaged areas were overrepresented. Patients from very materially advantaged and advantaged areas were less likely to be attached to a GP than patients from very disadvantaged areas. With the exception of patients from socially disadvantaged areas, all other categories of social deprivation were more likely to be attached to a GP compared to patients from very disadvantaged areas. We found a pro-rich gradient in wait time for attachment to a GP, with patients from more materially advantaged areas waiting less than those from disadvantaged areas.
Conclusion: Our findings suggest that there are socio-economic inequities in attachment to a GP through centralized waiting lists. Policy makers should take these findings into consideration to adjust centralized waiting list processes to avoid further exacerbation of health inequities.
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http://dx.doi.org/10.1186/s12939-018-0887-9 | DOI Listing |
Sensors (Basel)
December 2024
Qualcomm, San Jose, CA 95110, USA.
With the development of Internet of Vehicles (IoV) technology, the need for real-time data processing and communication in vehicles is increasing. Traditional request-based methods face challenges in terms of latency and bandwidth limitations. Mode 4 in cellular vehicle-to-everything (C-V2X), also known as autonomous resource selection, aims to address latency and overhead issues by dynamically selecting communication resources based on real-time conditions.
View Article and Find Full Text PDFArthritis Care Res (Hoboken)
December 2024
University of Calgary, Calgary, Alberta, Canada.
Objective: Estimate the budget impact of funding a standardized education and exercise therapy program (GLA:D®) for people with hip and knee OA waiting for total joint replacement (TJR) consultation in a universal publicly insured healthcare system in Canada.
Methods: We built a budget impact analysis (BIA) model to estimate the annual cost of providing GLA:D® program to people waiting for TJR consultation and then forecasted a three-year budget cycle. The base case assumes 40% attend GLA:D®, 11% avoid surgery, uniform care delivery, training costs are incurred separately, and the healthcare system has enough trained staff to meet demand.
Musculoskeletal Care
December 2024
Division of Rheumatology, University of Alberta, Edmonton, Canada.
Objective: To examine the effect of biological sex on wait-times to first rheumatology appointment in a central triage system before, during and after the COVID-19 pandemic.
Methods: De-identified data of patients referred to one centralised Rheumatology referral centre between November 2019 and December 2023 were extracted from the electronic medical record. Variables collected and analysed included time from referral to first appointment, biological sex, referral period, triage urgency, age, and geographic location.
J Perianesth Nurs
December 2024
PACU, Stony Brook University Hospital and Medical Center, Stony Brook, NY.
Health Soc Care Deliv Res
October 2024
Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.
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