Evidence map›Paper›PMID 40684033›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025

Evaluating the role of palliative care in emergency department opioid use among advanced cancer patients.

Joel Nortey, Shiyun Zhu, Andrew Lynch, Hannah Whitehead, Nirmala Ramalingam, Raymond Liu

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Joel NorteyDepartment of Hematology/Oncology, Kaiser Permanente Northern California, San Franciso, CA, USA. joel.x.nortey@kp.org.
Shiyun ZhuDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA.
Andrew LynchDepartment of Hematology/Oncology, Kaiser Permanente Northern California, San Franciso, CA, USA.
Hannah WhiteheadRegional Palliative Care Administration, Kaiser Permanente, Oakland, CA, USA.
Nirmala RamalingamDepartment of Graduate Medical Education, Kaiser Permanente Northern California, Oakland, CA, USA.
Raymond LiuDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with advanced cancer often experience severe symptoms that significantly impact their quality of life, leading to frequent emergency department visits for pain management. These visits not only diminish patient quality of life, but also impose substantial costs on the healthcare system. While palliative care (PC) has been shown to improve quality of life in cancer patients, its impact on reducing ED utilization for pain remains unclear. This study aimed to evaluate the relationship between PC and ED utilization for pain management in advanced cancer patients within a large integrated healthcare system.

methodsWe conducted a retrospective cross-sectional study involving adults aged 18 + diagnosed with stage IV cancer who died within 1 year of diagnosis, stratified by outpatient PC enrollment. Data were obtained from the Kaiser Permanente Northern California database, from January 1, 2015, to June 30, 2022. Multivariable Poisson regression models were used to analyze the prevalence of any opioid use during ED visits and cumulative ED visits with opioid use, adjusting for socio-demographics, clinical characteristics, and high-dimensional propensity scores.

resultsThe study included 4739 stage IV cancer patients with a total of 12,727 ED visits during their final year of life. Of these, 2243 (47%) received PC. Patients receiving PC had a 24% to 31% lower prevalence of any opioid administration during ED visits across different models, adjusting for baseline characteristics. Additionally, PC was associated with lower cumulative number of ED visits with opioid administration (PRR 0.83, 95% CI, 0.77-0.89).

conclusionOur study highlights the significant role that PC can play in reducing ED utilization for pain management needs among advanced cancer patients, improving quality of life and alleviating healthcare burdens. These findings underscore the importance of prioritizing access to PC and future research should focus on prospective studies to further explore the causal relationships and optimize PC delivery across diverse healthcare settings.

Indexed as

Analgesics, OpioidCancer PainEmergency Service, HospitalNeoplasmsPalliative CareAdultAgedAged, 80 and overCaliforniaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeoplasm StagingPain ManagementAnalgesics, OpioidAdvanced cancerEmergency departmentOpioid usePain managementPalliative care

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.