Background: Underemployment is a reality for many new graduates, who accept locum or part-time work as an alternative to unemployment because of lack of opportunities. We sought to analyze orthopedic surgeons' Ontario Health Insurance Program (OHIP) billing data over a 20-year period as a proxy of practice patterns and hypothesized that billing in the first 6 years of practice would be affected by underemployment and locum.
Methods: We analyzed the annual average billing totals of orthopedic surgeons, broken down by year of graduation, year of billings, and number of surgeons billing in that year. We analyzed public census data of the Ontario population size as a proxy of orthopedic demand.
Results: A 2019 cross-sectional analysis showed that around 15 surgeons per graduating year were billing in Ontario from the 1995 to 2016 cohorts, while 2017 and 2018 saw an increase to 30 and 36 actively billing surgeons, respectively. The number returned to more historical numbers in 2019, with 20 actively billing surgeons. For those surgeons billing in Ontario, billing trends have been roughly stable, with average billings increasing each year for the first 6 years in practice ( < 0.001). Year of graduation did not have an effect on the first 6 years of billings ( > 0.5). Billings were stable after 6 years in practice ( > 0.09).
Conclusion: The Ontario health care system has not expanded to support more orthopedic surgeons despite the aging and growing population; despite our growing population, the number of surgeons being trained and retained has not matched this growth. Further research needs to be done to guide optimal health human resource decision-making.
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http://dx.doi.org/10.1503/cjs.002623 | DOI Listing |
J Alzheimers Dis
January 2025
Division of Neurosurgery, Department of Surgery, Wan Fang Hospital, Taipei Medical University, Taipei.
Although the association between dementia such as Alzheimer's disease and traumatic brain injury (TBI) is well established, there are significant knowledge gaps with respect to the perspective of dementia and epilepsy without TBI. We aimed to investigate the relationship between dementia and epilepsy in a population-based study of patients without history of TBI. This study included a random sample of 30,715 patients with no history of TBI, including 6143 with epilepsy as the study cohort and 24,572 without epilepsy as the comparison cohort.
View Article and Find Full Text PDFCirc Cardiovasc Qual Outcomes
January 2025
Division of Emergency Medical Services, Public Health - Seattle & King County, WA (J.S., J.L., M.P., C.D., J.B., S.G., P.K., T.R.).
Background: Although racial disparities have been described in resuscitation, little is known about potential bias in race classification of out-of-hospital cardiac arrest (OHCA).
Methods: We conducted a retrospective cohort study of adults treated by emergency medical services (EMS) for nontraumatic OHCA in King County, WA between January 1, 2018, and December 31, 2021. We assessed agreement using κ and evaluated patterns of missingness between EMS-assessed race versus comprehensive race classification from hospital and death records.
Afr J Prim Health Care Fam Med
December 2024
Department of Family Medicine, Federal Medical Centre, Abeokuta.
The training of Family Medicine residents in the West Africa College of Physicians (WACP) has steadily upscaled to a competency-based approach over the years. The latest review of the curriculum (2022) includes self-directed online modules on clinical postings, health management, patient safety, quality assurance research and medical education among others. The operationalisation of the revised curriculum involves the use of workplace-based tools for formative assessments.
View Article and Find Full Text PDFEur Heart J Digit Health
January 2025
Department of Rehabilitation Medicine, Erasmus MC, Rotterdam, The Netherlands.
Aims: Cardiac rehabilitation (CR) shows lower effectiveness and higher dropouts among people with a low socioeconomic position (SEP) compared to those with a high SEP. This study evaluated an eHealth intervention aimed at supporting patients with a low SEP during their waiting period preceding CR.
Methods And Results: Participants with a low SEP in their waiting period before CR were randomized into an intervention group, receiving guidance videos, patient narratives, and practical tips, or into a control group.
Eur Heart J Digit Health
January 2025
School of Life Course & Population Sciences, King's College London, SE1 1UL London, UK.
Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the need for improved risk predictive models for primary prevention. Machine learning (ML) models utilizing electronic health records (EHRs) offer potential enhancements over traditional risk scores like QRISK3 and ASCVD. To systematically evaluate and compare the efficacy of ML models against conventional CVD risk prediction algorithms using EHR data for medium to long-term (5-10 years) CVD risk prediction.
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