Journal of pain and symptom management
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J Pain Symptom Manage · Jul 2020
Comparing an artificial neural network to logistic regression for predicting ED visit risk among patients with cancer: a population-based cohort study.
Prior work using symptom burden to predict emergency department (ED) visits among patients with cancer has used traditional statistical methods such as logistic regression (LR). Machine learning approaches for prediction, such as artificial neural networks (ANNs), are gaining attention but are yet to be commonly applied in practice. ⋯ Although both models were similar in predictive performance using our data, ANNs have an important role in prediction because of their flexible structure and data-driven distribution-free benefits and should thus be considered as a potential modeling approach when developing a prediction tool.
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J Pain Symptom Manage · Jul 2020
Home care for cancer patients during COVID-19 pandemic: the "double triage" protocol.
Patients with cancer have an increased risk of developing severe forms of coronavirus disease 2019, and patients with advanced cancer who are followed at home represent a particularly frail population. Although with substantial differences, the challenges that cancer care professionals have to face during a pandemic are quite similar to those posed by natural disasters. We have already managed the oncological home care service in L'Aquila (middle Italy) after the 2009 earthquake. With this letter, we want to share the procedures and tools that we have started using at the home care service of the Tuscany Tumor Association during the coronavirus disease 2019 pandemic.
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J Pain Symptom Manage · Jul 2020
Pain-Associated Clusters Among Nursing Home Residents and Older Adults Receiving Home Care in Germany.
There are no available data regarding pain-associated clusters among nursing home residents (NHRs) and older adults receiving home care with chronic pain. ⋯ Overall, differences in pain management exist within the two care settings presented here. There is potential for improvement in both settings. Moreover, there exists a need for clinical interventions aiming at shifting from pain-affected clusters to pain-relieved status.
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J Pain Symptom Manage · Jul 2020
Which Melbourne metropolitan areas are vulnerable to COVID-19 based on age, disability and access to health services? Using spatial analysis to identify service gaps and inform delivery.
Aging adults (65+) with disability are especially vulnerable to coronavirus disease 2019 (COVID-19), and on contracting, they are a cohort most likely to require palliative care. Therefore, it is very important that health services-particularly health services providing palliative care-are proximately available. Treating the Melbourne metropolitan area as a case study, a spatial analysis was conducted to clarify priority areas with a significantly high percentage and number of aging adults (65+) with disability and high barriers to accessing primary health services. ⋯ The geographic dispersion of areas with people vulnerable to COVID-19 with poor access to palliative care and health services is clarified. Unique methods of health service delivery are required to ensure that vulnerable populations in underserviced metropolitan areas receive prompt and adequate care. The spatial methodology used can be implemented in different contexts to support evidence-based COVID-19 and pandemic palliative care service decisions.
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J Pain Symptom Manage · Jul 2020
Suicide Attempt Following Determination of Ineligibility for Assisted Death: A Case Series.
Medical assistance in dying (MAID) and similar right-to-die laws are becoming increasingly common in jurisdictions across North America and elsewhere. To be eligible for MAID in Canada, requesters must have a serious illness, intolerable suffering, and a reasonably foreseeable natural death. They must also undergo two assessments to confirm eligibility. ⋯ All three cases had previous diagnoses of depressive disorders and mild cognitive impairment, and two cases had histories of suicide attempts. In at-risk patients, we speculate that the period surrounding a finding of MAID ineligibility may represent a period of particular vulnerability. Clinicians must be vigilant and prepared for the possibility of heightened risk, including risk of self-harm, after a finding of ineligibility for assisted death.