Publications by authors named "Sarah Torabi"

Having advanced care planning conversations with patients and/or their substitute decision maker has been shown to lead to many benefits, including aligning a patient's priorities and health expectations with his or her wishes. Typically, these conversations have been held with physicians, but have evolved over time to also be incorporated into the roles of other healthcare professionals. Advanced practice nurses who are trained to use a framework or an approach when having such conversations has been shown to have merit.

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Primary ovarian carcinoid (POC) is a very rare subset of ovarian tumors, presenting diagnostic challenges due to its inconclusive radiological imaging. In this case study, we present a 30-year-old nulliparous female with subfertility complaints and irregular menstrual cycles, who was initially misdiagnosed with an ovarian cyst. Subsequent comprehensive imaging, including Color Doppler, revealed high vascularity, and prompting suspicion of malignancy.

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For patients desiring end-of-life care in a palliative care unit, ensuring a safe and timely transfer while reducing length of stay in acute care is optimal. A chart review of 130 patients was completed on those who either died in acute care or were transferred to a palliative care unit. In all, 31% of patients died in acute care and 69% were transferred to a palliative care unit.

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Background: In Canada, cardiovascular disease is the second most common cause of death. A subset of these patients will require a cardiovascular implantable electronic device (CIED). An estimated 200 000 Canadians are living with a CIED.

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Purpose: The aim of this study is to assess the prevalence of undertreated cancer pain in an outpatient palliative radiotherapy clinic using the Pain Management Index (PMI).

Methods: A retrospective analysis of a prospective database to assess pain management was done on patients with cancer pain enrolled from January 2009 to March 2015 using recorded pain intensity (0-10) and baseline pain medications. The pain intensities were categorized into no pain (0), mild pain (1), moderate pain (2), and severe pain (3), and an analgesic score was assigned to the most potent pain medication the patient was taking during the time of data collection.

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