Journal of palliative medicine
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Background: As a key component of advance care planning, serious illness conversations form a core intervention in palliative care. To achieve effective serious illness conversations, acknowledgment and inclusion of patient sense of self and identity are critical. However, no framework exists to describe how goals, values, and choices relate to patient identity. ⋯ The framework consists of a four-step, reproducible approach: (1) attend to patient narrative identity, (2) identify values, (3) cocreate goals, and (4) actively promote choices. In short: attend, identify, create, and promote (AICP). Discussion: By using this conceptual framework and four-step approach, clinicians can accomplish goal-concordant serious illness care and build rich clinical relationships that foster trust and goodwill.
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Randomized Controlled Trial
Lidocaine Needling in Myofascial Pain Syndrome for Palliative Oncologic Care: A Randomized Clinical Study.
Background: Physical pain is highly prevalent and impacts the well-being of patients with advanced oncologic disease. Although myofascial pain syndrome (MPS) can be one of the components of pain in cancer patients on palliative care (PC), so far there is no evidence about the benefit of treatment with 1% lidocaine needling. Objectives: To evaluate the efficacy of MPS treatment with injection of 1% lidocaine on the reduction of pain in cancer patients on PC. ⋯ After 72 hours, there was a reduction in referred pain intensity (p < 0.001) and an increase in pressure threshold (p = 0.007) in the intervention group (IG), with no difference in the control. The frequency of individuals who reduced the doses and/or classes of pain medications was higher in the IG (p = 0.011). Conclusion: One percent lidocaine needling in TPs was an effective therapy for pain reduction in MPS.
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Comparative Study
Racial Differences in Treatment Intensity at the End of Life Among Older Adults with Heart Failure: Evidence from the Health and Retirement Study.
Background: Black Americans experience the highest prevalence of heart failure (HF) and the worst clinical outcomes of any racial or ethnic group, but little is known about end-of-life care for this population. Objective: Compare treatment intensity between Black and White older adults with HF near the end of life. Design: Negative binomial and logistic regression analyses of pooled, cross-sectional data from the Health and Retirement Study (HRS). ⋯ However, Black HF patients were more likely to spend time on life support (odds ratio [OR] = 2.16, confidence interval [CI] = 1.35-3.44, p = 0.00) and more likely to die in a hospital (OR = 1.53, CI = 1.03-2.28, p = 0.04) than White HF patients. Conclusion: Black HF patients were more likely to die in a hospital and to spend time on life support than White HF patients. Thoughtful and consistent engagement with HF patients regarding treatment preferences is an important step in addressing inequities.
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Relational autonomy is a concept that describes the interdependent nature of decision making by individuals. Relational autonomy is distinct from the traditional concept of autonomy, which asserts the need for each individual to make choices based on their own values and without influence by others. ⋯ We also explore the moral distress generated by the attempt to reconcile his expressed desires and the decisions he made. We propose that examining the case with a relational autonomy lens may have helped clinical staff understand his decision and thus mitigate moral distress.
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Background: Life expectancy prediction is important for end-of-life planning. Established methods (Palliative Performance Scale [PPS], Palliative Prognostic Index [PPI]) have been validated for intermediate- to long-term prognoses, but last-weeks-of-life prognosis has not been well studied. Patients admitted to a palliative care facility often have a life expectancy of less than three weeks. ⋯ SPS items provided survival information during the last week of life. Using SPS along with PPS and PPI during the last weeks of life could enable a more precise short-term survival prediction across various end-of-life diagnoses. The translation of this research into clinical practice could lead to a better adapted treatment, the identification of a most appropriate care setting for patients, and improved communication of prognosis with patients and families.