Retrospective Analysis of the Integration of Palliative Care Into the Care of Stroke Patients Admitted to a Regional Stroke Center.
Houman KhosravaniMeera MahendiranBrindan SivanandanSandra GardnerGustavo SaposnikJahnel BrookesAnna BerallGiulia-Anna PerriPublished in: The American journal of hospice & palliative care (2024)
Background: Palliative care (PC) aims to enhance the quality of life for patients when confronted with serious illness. As stroke inflicts high morbidity and mortality, the integration of PC within acute stroke care remains an important aspect of quality inpatient care. However, there is a tendency to offer PC to stroke patients only when death appears imminent. We aim to understand why this may be by examining stroke patients admitted to a regional stroke centre who subsequently died and their provision of PC. Methods: We conducted a retrospective single-centre cohort study of patients who died during admission to the regional stroke centre at Sunnybrook Health Sciences Centre (SHSC) in Toronto, Ontario, Canada. Baseline demographics were assessed using means, standard deviations (SD), medians, interquartile ranges (IQR), and proportions. Descriptive statistics, univariate, and multivariate analyses were performed to ascertain relationships between collected variables. Results: Univariate modeling demonstrated that older age, being female, no stroke diagnosis at admission to hospital, ischemic stroke, and comorbidities of cancer or dementia were associated with a higher incidence of palliative medicine consultation (PMC), while admission from an acute care hospital and a Glasgow Coma Scale (GCS) coma classification were associated with a lower incidence of PMC. The multivariate model identified the GCS coma-related category as the only significant factor associated with a higher incidence of death but was non-significantly related to a lower incidence of PMC. Conclusion: These results highlight continued missed opportunities for PC in stroke patients and underscore the need to better optimize PMC.
Keyphrases
- palliative care
- atrial fibrillation
- healthcare
- advanced cancer
- acute care
- risk factors
- emergency department
- cerebral ischemia
- deep learning
- end stage renal disease
- mental health
- newly diagnosed
- machine learning
- public health
- physical activity
- pain management
- risk assessment
- chronic pain
- cognitive impairment
- prognostic factors
- social media
- drug induced
- blood brain barrier
- data analysis
- peritoneal dialysis
- patient reported outcomes
- electronic health record