Journal of palliative medicine
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In this segment of the emergency palliative care case series, we present a patient who arrives at a small community emergency department with acute intracranial hemorrhage, aspiration, and respiratory failure. Usual care includes aggressive airway management with intubation and mechanical ventilation, and a recommendation from stroke neurologists and neurosurgeons at the tertiary care center to transfer the patient. ⋯ A general neurologist is consulted to provide a prognostic opinion, and goals-of-care discussions are facilitated by a palliative care consultant. After expedited evaluation, the neurologist provides a prognostic assessment, while the palliative care clinician explores potential next steps with the patient's wife, based upon his known goals and values, ultimately leading to high-value goal-concordant end-of-life care for the patient and his family.
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Background: Many older adults with advanced heart failure receive home health rehabilitation after hospitalization. Yet, integration of palliative care skills into rehabilitation is limited. Objective: Describe using the Multiphase Optimization Strategy (MOST) framework with human-centered design principles to engage clinical partners in the Preparation phase of palliative physical therapy intervention development. ⋯ Initial feedback on palliative care skill preferences and training needs directly informed refinement of our conceptual model and skills in the intervention prototype. Later feedback focused on reviewing and revising intervention content, delivery strategy, and training considerations. Conclusion: Incorporating human-centered design principles within the MOST provided a useful framework to partner with clinical colleagues in intervention design.
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Background: The pediatric palliative care (PPC) sets up an interdisciplinary approach of chronic complex diseases throughout birth to adolescence. It encompasses countless contrasts in development and diagnosis scopes, which make this area a challenge to nonpediatric practitioners. Objective: We sought to assess the most prevalent diseases in follow-up of the PPC team. ⋯ The patients were older at diagnosis (6.9 years) and at PPC referral (13.2 years) than patients with epidermolysis bullosa and skeletal disorders and dysmorphological and chromosomal disorders were younger on referral. Conclusion: There are a lot of complex chronic conditions which could benefit from palliative care in pediatric setting. However, epidemiological and symptomatological assessment of the health service is necessary to provide an appropriate care to the country's reality.
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Observational Study
Predictors of Two-Year Mortality in Patients Receiving Long-Term Oxygen Therapy: A Prospective Observational Study.
Background: Patients receiving long-term oxygen therapy are in a state of progressive respiratory dysfunction and have high mortality. However, the predictors of mortality in these patients have not yet been established. Objectives: This prospective observational study aimed to identify the predictors of two-year mortality in patients receiving long-term oxygen therapy. ⋯ Results: The 83 patients that were followed up, 30 (36%) died. The Cox proportional hazards model estimated handgrip strength (adjusted hazard ratio [HR]: 0.89; 95% confidence interval [CI]: 0.84-0.94; p < 0.01; Wald: 14.38.), mMRC (adjusted HR: 1.96; 95% CI: 1.36-2.83; p < 0.01; Wald: 13.16.), BI (adjusted HR: 0.95; 95% CI: 0.93-0.98; p < 0.01; Wald: 17.07.), and MoCA (adjusted HR: 2.17; 95% CI: 1.31-3.59; p < 0.01; Wald: 9.06) as predictors. Conclusions: This study indicated that handgrip strength, dyspnea, activities of daily living, and cognitive function were predictors of two-year mortality in patients receiving long-term oxygen therapy.
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Despite its growth as a clinical activity and research topic, the complex dynamic nature of advance care planning (ACP) has posed serious challenges for researchers hoping to quantitatively measure it. Methods for measurement have traditionally depended on lengthy manual chart abstractions or static documents (e.g., advance directive forms) even though completion of such documents is only one aspect of ACP. ⋯ In this article, we aim to show how NLP-assisted EHR review supports more accurate and robust measurement of ACP. We do so by presenting three example applications that illustrate how using NLP for this purpose supports (1) measurement in research, (2) detailed insights into ACP in quality improvement, and (3) identification of current limitations of ACP in clinical settings.