Journal of palliative medicine
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Background: Pediatric palliative care (PPC) can improve the quality of care provided to critically ill children with a high risk of morbidity and mortality. Early identification of patients admitted to the pediatric intensive care unit (PICU) who may benefit from PPC involvement is essential. Objectives: To create a brief screening tool, the Pediatric Intensive Care-Pediatric Palliative Care Screen, identifying PICU patients most likely to benefit from PPC involvement and to assess if weekly screening with this screening tool increases the number of PPC consults placed in the PICU. ⋯ Technology dependence (57% vs. 5%, p < 0.001) and presence of congenital defects (26% vs. 10%, p = 0.013) were significantly more common among positive screens. Conclusions: Weekly screening with a short, 7-question screening tool can identify PICU patients most likely to benefit from a PPC consult. Patients with chronic illnesses and baseline comorbidities are most likely to screen positive.
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When speaking to public audiences, palliative care advocates often reach for personal experiences of great meaning and significance in their own lives, and often distill those experiences to a key message. However, this approach may not be the most effective way to engage a public audience whose closest experience with palliative care is based on social media or third-hand stories. Research demonstrates that the lay public often starts with inaccurate assumptions about palliative care, including that it is only for people at end of life. ⋯ The 10 tips provided are based on a multiyear and multiorganizational project focused on improving the messaging of palliative care for the public. As palliative care services are increasingly expanded and integrated into health systems, public messaging can provide a new approach for building partnerships with the public by offering messages that consistently meet their needs based on their current perceptions. Incorporating public-informed messaging strategies could enable palliative care clinicians and advocates to address the lay public with greater confidence and clarity about how palliative care can serve them, their families, and their communities.
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Introduction: This study aimed to describe the patterns of palliative intent treatment and/or palliative care (PC) delivery among a population-based sample of individuals diagnosed with advanced nonsmall cell lung cancer (NSCLC) or advanced melanoma. Methods: Data from 655 advanced-stage melanoma patients and 2688 advanced-stage NSCLC patients included in the National Cancer Institute's 2017/2018 Patterns of Care study were analyzed. Bivariate and multivariate logistic regression analyses examined factors associated with (1) receipt of PC (including palliative surgery, radiation, and/or systemic therapy after cancer diagnosis, and PC consultations); and (2) timing from diagnosis to receipt of PC. ⋯ For NSCLC, stage 4 (vs. stage 3) and a diagnosis of depression or psychosocial distress within three months of diagnosis were significantly associated with receipt of PC and receipt within three months of diagnosis. Conclusion: Study findings indicate that those with advanced-stage cancer or who report distress are more likely to receive palliative intent treatment and/or PC. Given that individuals with advanced cancers are living longer and often experience long-lasting symptoms, it is critical to identify and overcome barriers for broadly delivering comprehensive palliative and supportive care.
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Background: It is essential to establish both the appropriateness of palliative care (PC) and the prognosis in daily clinical practice to guide decision making in the management of older people with multiple advanced chronic diseases. Objectives: We assessed patients who were appropriate for PC using the NECPAL tool in a hospitalized older population and then we investigated its predictive validity on one-year mortality compared with the multidimensional prognostic index (MPI), a validated geriatric prognostic tool. Design: Prospective cohort study. ⋯ MPI showed a better predictive power than NECPAL (area under the curve [AUC] 0.85 vs. 0.75, p = 0.030). After the exclusion of "Comorbidity: ≥2 concurrent diseases" item from NECPAL, its AUC increased to 0.78 with no statistically significant differences from MPI (p = 0.122). Conclusions: NECPAL is useful to identify the appropriateness of PC in hospitalized older adults, also allowing to predict long-term mortality with a performance similar to that of a validated geriatric prognostic tool.
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Background: Cannabis interest and use is increasing in the United States, yet research on its use among cancer patients is limited. Methods: Individuals with cancer completed an anonymous cross-sectional questionnaire. Multivariable logistic regressions estimated odds ratios (OR) between patients' demographic and clinical characteristics with cannabis-related interest, current use, and provider recommendation. ⋯ Those with higher education were less likely to be using cannabis (OR = 0.41, 95% CI: 0.25-0.67) and less likely to have received a provider recommendation of cannabis use than the least educated (OR = 0.38, 95% CI: 0.19-0.76). Cancer spread and type were significant correlates of provider recommendation of cannabis use. Conclusions: Additional research is warranted to better understand cancer patients' motivations for cannabis use and interest.