Publications by authors named "L Jaakkimainen"

Background: While preoperative optimization improves outcomes for older adults undergoing major elective surgery, no such optimization is possible in the emergent setting. Surgeons must identify postoperative interventions to improve outcomes among older emergency general surgery (EGS) patients. The objective of this cohort study was to examine the association between early follow-up with a primary care physician (PCP) and the risk of nursing home acceptance or death in the year following EGS admission among older adults.

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Health care reforms introduced interprofessional team-based primary care to optimize access to health care and preventive services. In this context, preventive cancer screening represents an important measure as it is essential for the early detection of cancer and treatment. We investigated the effects of Family Health Teams (FHTs), an interprofessional team-based primary care practice setting, on cancer screening rates in Ontario, Canada.

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Background: Higher numbers of family physicians (FPs) stopped practicing or retired during the COVID-19 pandemic, worsening the family doctor shortage in Canada. Our study objective was to determine which factors were associated with FPs' plans to retire earlier during the COVID-19 pandemic.

Methods: We administered two cross-sectional online surveys to Ontario FPs asking whether they were "planning to retire earlier" as a result of the pandemic during the first and third COVID-19 pandemic waves (Apr-Jun 2020 and Mar-Jul 2021).

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Objective: To estimate prevalence and incidence rates over time in children and youth with attention deficit/hyperactivity disorder from the validation of population-based administrative data algorithms using family physicians' electronic medical records as a reference standard.

Methods: A retrospective cohort study was conducted in Ontario, Canada to identify attention deficit/hyperactivity disorder among children and youth aged 1-24 years in health administrative data derived from case-finding algorithms using family physicians' electronic medical records. Multiple administrative data algorithms identifying attention deficit/hyperactivity disorder cases were developed and tested from physician-diagnosis of attention deficit/hyperactivity disorder in the electronic medical record to determine their diagnostic accuracy.

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