A Comparison of the Survival, Place of Death, and Medical Utilization of Terminal Patients Receiving Hospital-Based and Community-Based Palliative Home Care: A Retrospective and Propensity Score Matching Cohort Study

Lin, Cheng Kuan; Tsay, Min Shiow; Chang, Yi Hui; Chen, Hung-Cheng; Wang, Ching Yu; Chuang, Yun-Shiuan; Wu, Chien Yi

doi:10.3390/ijerph18147272

Cited by 8 publications

(5 citation statements)

References 27 publications

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“…In terms of providing quality palliative care, patient preferences for home-based death have recently increased; however, the decision for the final place of care is occasionally affected by several unwilling factors: higher functional status, inadequately controlled symptoms, and acute reversible events [17][18][19]. With home-based palliative care, the proportion of home deaths has been reported as 52-71% [3,17]. Based on our experience with a relatively high rate of home death, we suggest that hypoxemia due to home-care-acquired infection can be treated in home-care settings, with immediate application of antibiotics and home oxygen therapy.…”

Section: Discussionmentioning

confidence: 99%

“…Home-based medication, primary care, and palliative care are alternative approaches for in-hospital medication, which have been applicable for the elderly or patients with end-stage chronic diseases, including those requiring home oxygen therapy [1,2]. In comparison with in-hospital medication, home-based medication has several advantages, such as suppressing deterioration of motor and cognitive functions by avoiding hospitalization-associated disability and promoting quality of life in palliative medication [3][4][5]. Despite the growing demand for home-based medication, there remains scarce evidence of infection or respiratory failure in these settings [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Clinical Features of Hypoxemia Due to Infection Under Home-Based Medication During the COVID-19 Pandemic Period

Nagaoka¹,

Iida²,

Ito³

et al. 2023

Cureus

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Background: Despite the growing demand for home-based medication during the COVID-19 pandemic period, there remains scarce evidence of hypoxemic infection in home-care settings. In this study, we investigated the clinical features of hypoxemic respiratory failure due to infection during the period under home-based medication (defined as 'home-care-acquired infection').Methods: This retrospective observational study enrolled patients with home-care-acquired infection, other than COVID-19, in two home-care clinics in Sapporo, Japan, between April 2020 and May 2021 (the early phase of the COVID-19 pandemic). The participants were divided into two groups according to whether they required additional home oxygen therapy, and were compared to assess the predictors of hypoxemic respiratory failure. Furthermore, the clinical features were compared with those in patients aged >60 years with COVID-19 who were admitted to Toyama University Hospital during the same period.Results: A total of 107 patients with home-care-acquired infections were included in the study (median age, 82 years). Twenty-two patients required home oxygen therapy, and 85 did not. Thirty-day mortality rates were 32% and 8%. Among the patients in the hypoxemia group, none had desired a care-setting transition, following the advanced care planning. Multivariable logistic regression analysis showed that initial antibiotic treatment failure and malignant disease were independently associated with hypoxemic respiratory failure (odds ratio, 7.28 and 7.10; p=0.023 and p<0.005, respectively). In comparison with hypoxemia in the COVID-19 cohort, the lower incidence of febrile co-habitants and earlier onset of hypoxemia were significant in those due to home-care-acquired infection.Conclusion: This study demonstrated that hypoxemia due to home-care-acquired infection was characterized by distinct features, possibly different from those due to COVID-19 in the early pandemic period.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Clinical Features of Hypoxemia Due to Infection Under Home-Based Medication During the COVID-19 Pandemic Period

Nagaoka¹,

Iida²,

Ito³

et al. 2023

Cureus

View full text Add to dashboard Cite

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“…Most patients who received end-of-life care in Taiwan had a life expectancy of just a few weeks or months [ 46 ]. To ensure that we could follow most of these patients until the end of their lives, we set a follow-up duration of up to 52 weeks.…”

Section: Methodsmentioning

confidence: 99%

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

Liu,

Shih,

Huang

et al. 2023

J Med Internet Res

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Background An accurate prediction of mortality in end-of-life care is crucial but presents challenges. Existing prognostic tools demonstrate moderate performance in predicting survival across various time frames, primarily in in-hospital settings and single-time evaluations. However, these tools may fail to capture the individualized and diverse trajectories of patients. Limited evidence exists regarding the use of artificial intelligence (AI) and wearable devices, specifically among patients with cancer at the end of life. Objective This study aimed to investigate the potential of using wearable devices and AI to predict death events among patients with cancer at the end of life. Our hypothesis was that continuous monitoring through smartwatches can offer valuable insights into the progression of patients at the end of life and enable the prediction of changes in their condition, which could ultimately enhance personalized care, particularly in outpatient or home care settings. Methods This prospective study was conducted at the National Taiwan University Hospital. Patients diagnosed with cancer and receiving end-of-life care were invited to enroll in wards, outpatient clinics, and home-based care settings. Each participant was given a smartwatch to collect physiological data, including steps taken, heart rate, sleep time, and blood oxygen saturation. Clinical assessments were conducted weekly. The participants were followed until the end of life or up to 52 weeks. With these input features, we evaluated the prediction performance of several machine learning–based classifiers and a deep neural network in 7-day death events. We used area under the receiver operating characteristic curve (AUROC), F1-score, accuracy, and specificity as evaluation metrics. A Shapley additive explanations value analysis was performed to further explore the models with good performance. Results From September 2021 to August 2022, overall, 1657 data points were collected from 40 patients with a median survival time of 34 days, with the detection of 28 death events. Among the proposed models, extreme gradient boost (XGBoost) yielded the best result, with an AUROC of 96%, F1-score of 78.5%, accuracy of 93%, and specificity of 97% on the testing set. The Shapley additive explanations value analysis identified the average heart rate as the most important feature. Other important features included steps taken, appetite, urination status, and clinical care phase. Conclusions We demonstrated the successful prediction of patient deaths within the next 7 days using a combination of wearable devices and AI. Our findings highlight the potential of integrating AI and wearable technology into clinical end-of-life care, offering valuable insights and supporting clinical decision-making for personalized patient care. It is important to acknowledge that our study was conducted in a relatively small cohort; thus, further research is needed to validate our approach and assess its impact on clinical care. Trial Registration ClinicalTrials.gov NCT05054907; https://classic.clinicaltrials.gov/ct2/show/NCT05054907

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“…3 Some evaluations of home-based EoLC around the world have reported negative outcomes for terminally ill patients. [18][19][20][21] A study by Eagar et al 19 postulated that patients in home care experienced less improvement in physical symptoms than patients in hospital care. Another research on palliative care outcomes in Australia also revealed that terminally ill patients receiving care at home experienced poorer pain management and symptom control, than those cared for in a hospital.…”

Section: Introductionmentioning

confidence: 99%

The Physical and Psychosocial Outcomes of a Psychosocial Home-Based end-of-Life Care Intervention in Hong Kong

et al. 2023

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Objective Living the final days of life being cared for at home is a preference expressed by many. The data on the effectiveness of home-based end-of-life care (EoLC) intervention to improve the holistic conditions of terminally ill patients are scanty. This study sought to evaluate a psychosocial home-based EoLC intervention for terminally ill patients in Hong Kong. Methods A prospective cohort study was conducted, applying the Integrated Palliative Care Outcome Scale (IPOS) at 3 timepoints (service intake, 1-month, and 3-months after enrollment). A total of 485 eligible, consenting terminally ill people (mean age = 75.48, SD = 11.39) were enrolled, with 40.21% (n = 195) providing data at all 3 timepoints for this study. Results Decreasing symptom severity scores were observed for all IPOS psychosocial symptoms, and most physical symptoms, over the 3 timepoints. Improvements in depression and practical concerns had the highest omnibus time effects ( F > 31.92, P < .01) and T0 to T2 paired comparison effects ( Cohen's d > 0.54, P < .01). Physical symptoms of weakness/lack of energy, poor mobility, and poor appetite also showed significant improvements at T1 and T2 ( Cohen's d: 0.22-0.46, P < .05). Bivariate regression analyses showed that improvements in anxiety, depression, and family anxiety were associated with improvements in physical symptoms of pain, shortness of breath, weakness/lack of energy, nausea, poor appetite, and poor mobility. Patients’ demographic and clinical characteristics were not associated with changes in symptoms. Conclusions The psychosocial home-based EoLC intervention effectively improved the psychosocial and physical status of terminally ill patients, irrespective of their clinical characteristics or demographics.

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A Comparison of the Survival, Place of Death, and Medical Utilization of Terminal Patients Receiving Hospital-Based and Community-Based Palliative Home Care: A Retrospective and Propensity Score Matching Cohort Study

Cited by 8 publications

References 27 publications

Clinical Features of Hypoxemia Due to Infection Under Home-Based Medication During the COVID-19 Pandemic Period

Clinical Features of Hypoxemia Due to Infection Under Home-Based Medication During the COVID-19 Pandemic Period

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

The Physical and Psychosocial Outcomes of a Psychosocial Home-Based end-of-Life Care Intervention in Hong Kong

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