Strategies maintaining hospice and palliative care quality during COVID-19 pandemic in Taiwan

Lee, Ping-Hsueh; Peng, Jei-Ming; Chang, Hsien-Cheng; Huang, Paul Sin-Bao; Wu, Congjun; Hsu, Su-Hsuan; Weng, Yih-Chyang; Tu, Chun-Yi; Lee, Jun-Hua; Chiu, Ge-Lin; Tsai, Jaw‐Shiun

doi:10.1136/bmjspcare-2021-003276

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…Adequate medications and supplies should be considered based on probable survival time to reduce distress and family anxiety during and after transfer from the ICU. Although not a perfect substitute, well-designed apps and online counseling are practical in home hospice practice [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

“…Data on survival time after WSLT in Asia are extremely limited due to legal and religious restrictions, so our results add to the knowledge of this group of patients. Further artificial intelligence analysis of different studies could be used to prospectively validate models applied to other ICUs and decision-making after extubation [ 12 , 38 ].…”

Section: Limitations and Strengthsmentioning

confidence: 99%

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Prediction of survival time after terminal extubation: the balance between critical care unit utilization and hospice medicine in the COVID-19 pandemic era

et al. 2023

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Background We established 1-h and 1-day survival models after terminal extubation to optimize ventilator use and achieve a balance between critical care for COVID-19 and hospice medicine. Methods Data were obtained from patients with end-of-life status at terminal extubation from 2015 to 2020. The associations between APACHE II scores and parameters with survival time were analyzed. Parameters with a p-value ≤ 0.2 in univariate analysis were included in multivariate models. Cox proportional hazards regression analysis was used for the multivariate analysis of survival time at 1 h and 1 day. Results Of the 140 enrolled patients, 76 (54.3%) died within 1 h and 35 (25%) survived beyond 24 h. No spontaneous breathing trial (SBT) within the past 24 h, minute ventilation (MV) ≥ 12 L/min, and APACHE II score ≥ 25 were associated with shorter survival in the 1 h regression model. Lower MV, SpO2 ≥ 96% and SBT were related to longer survival in the 1-day model. Hospice medications did not influence survival time. Conclusion An APACHE II score of ≥ 25 at 1 h and SpO2 ≥ 96% at 1 day were strong predictors of disposition of patients to intensivists. These factors can help to objectively tailor pathways for post-extubation transition and rapidly allocate intensive care unit resources without sacrificing the quality of palliative care in the era of COVID-19. Trial registration They study was retrospectively registered. IRB No.: 202101929B0.

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Section: Discussionmentioning

confidence: 99%

Section: Limitations and Strengthsmentioning

confidence: 99%

Prediction of survival time after terminal extubation: the balance between critical care unit utilization and hospice medicine in the COVID-19 pandemic era

et al. 2023

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show abstract

“…Data on survival time after WSLT in Asia are extremely limited due to legal and religious restrictions, so our results add to the knowledge of this group of patients. Further arti cial intelligence analysis of different studies could be used to prospectively validate models applied to other ICUs and decision-making after extubation [11,37].…”

Section: Limitations and Strengthsmentioning

confidence: 99%

Section: Peripheral Arterial Oxygenmentioning

confidence: 99%

Prediction of Survival Time after Terminal Extubation: the Balance between Critical Care Unit Utilization and Hospice Medicine in the COVID-19 Pandemic Era

Zheng

Huang

Chen

et al. 2022

Preprint

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Background We established 1-hour and 1-day survival models after terminal extubation to optimize ventilator use and achieve a balance between critical care for COVID-19 and hospice medicine. Methods Data were obtained from patients with end-of-life status at terminal extubation from 2015 to 2020. The associations between APACHE II scores and parameters with survival time were analyzed. Parameters with a p-value ≤ 0.2 in univariate analysis were included in multivariate models. Cox proportional hazards regression analysis was used for the multivariate analysis of survival time at 1 hour and 1 day. Results Of the 140 enrolled patients, 76 (54.3%) died within 1 hour and 35 (25%) survived beyond 24 hours. No spontaneous breathing trial (SBT) within the past 24 hours, minute ventilation (MV) ≥ 12 L/min, and APACHE II score ≥ 25 were associated with shorter survival in the 1-hour regression model. Lower MV, SpO2 ≥ 96% and SBT were related to longer survival in the 1-day model. Hospice medications did not influence survival time. Conclusion An APACHE II score of ≥ 25 at 1 hour and SpO2 ≥ 96% at 1 day were strong predictors of disposition of patients to intensivists. These factors can help to objectively tailor pathways for post-extubation transition and rapidly allocate intensive care unit resources without sacrificing the quality of palliative care in the era of COVID-19. Trial registration They study was retrospectively registered. IRB No.: 202101929B0

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Challenges and Innovations in Hospice Care during the COVID-19 Pandemic: A Scoping Review

Dobríková

Scheitel

Roulston

2023

Journal of Social Work in End-of-Life & Palliative Care

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Strategies maintaining hospice and palliative care quality during COVID-19 pandemic in Taiwan

Cited by 3 publications

References 4 publications

Prediction of survival time after terminal extubation: the balance between critical care unit utilization and hospice medicine in the COVID-19 pandemic era

Prediction of survival time after terminal extubation: the balance between critical care unit utilization and hospice medicine in the COVID-19 pandemic era

Prediction of Survival Time after Terminal Extubation: the Balance between Critical Care Unit Utilization and Hospice Medicine in the COVID-19 Pandemic Era

Challenges and Innovations in Hospice Care during the COVID-19 Pandemic: A Scoping Review

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