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Impact of a machine learning algorithm on time to palliative care in a primary care population: protocol for a stepped-wedge pragmatic randomized trial

BMC Palliat Care. 2023 Feb 3;22(1):9. doi: 10.1186/s12904-022-01113-0.ABSTRACTBACKGROUND: As primary care populations age, timely identification of palliative care need is becoming increasingly relevant. Previous studies have targeted particular patient populations with life-limiting disease, but few have focused on patients in a primary care setting. Toward this end, we propose a stepped-wedge pragmatic randomized trial whereby a machine learning algorithm identifies patients empaneled to primary care units at Mayo Clinic (Rochester, Minnesota, United States) with high likelihood of palliative care need.METHODS: 42 care team units in 9 clusters were randomized to 7 wedges, each lasting 42 days. For care teams in…
Origen: Impact of a machine learning algorithm on time to palliative care in a primary care population: protocol for a stepped-wedge pragmatic randomized trial – PubMed

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Endoscopic placement of a self-expandable metal stent for malignant small-intestine obstruction using a digital cholangioscope-guided approach

Endoscopy. 2023 Dec;55(S 01):E408-E409. doi: 10.1055/a-2008-0376. Epub 2023 Feb 3.NO ABSTRACTPMID:36736366 | PMC:PMC9897950 | DOI:10.1055/a-2008-0376
Origen: Endoscopic placement of a self-expandable metal stent for malignant small-intestine obstruction using a digital cholangioscope-guided approach – PubMed

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<em>Letter to the Editor:</em> Universal Screening for Substance Use Disorder in a Palliative Care Clinic: Results and Longitudinal Outcomes for Patients with Cancer

J Palliat Med. 2023 Feb;26(2):160-161. doi: 10.1089/jpm.2022.0502.NO ABSTRACTPMID:36724317 | DOI:10.1089/jpm.2022.0502
Origen: <em>Letter to the Editor:</em> Universal Screening for Substance Use Disorder in a Palliative Care Clinic: Results and Longitudinal Outcomes for Patients with Cancer – PubMed

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Trends in appropriateness of end-of-life care in people with cancer, COPD or with dementia measured with population-level quality indicators

PLoS One. 2023 Feb 1;18(2):e0273997. doi: 10.1371/journal.pone.0273997. eCollection 2023.ABSTRACTINTRODUCTION: Measuring changes in the appropriateness of end-of-life care provided to patients with advanced illness such as cancer, COPD or dementia can help governments and practitioners improve service delivery and quality of life. However, an assessment of a possible shift in appropriateness of end-of-life care across the population is lacking.AIM: Measuring quality indicators with routinely collected population-level data, this study aims to evaluate the appropriateness of end-of-life care for people with cancer, COPD or dementia in Belgium.DESIGN: A population-level decedent cohort study, using data from eight population-level databases, including death certificate and…
Origen: Trends in appropriateness of end-of-life care in people with cancer, COPD or with dementia measured with population-level quality indicators – PubMed

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