Development of a Clinical Tool to Predict Home Death of a Discharged Cancer Patient in Japan: a Case-Control Study

Discharge to home from a palliative care unit: impact on survival and factors associated with home death after the discharge: a cohort study

BACKGROUND

Staying at home during the dying process is important for many patients; and palliative care units (PCUs) can help facilitate home death. This study compared patient survival between those who were discharged to home from a palliative care unit and those who were not, and aimed to identify the factors associated with home death after the discharge.

METHODS

This retrospective cohort study used a database of patients admitted to a palliative care unit at Kouseiren Takaoka Hospital in Japan. All consecutive patients admitted to the hospital's PCU between October 2016 and March 2020 were enrolled. Patient survival and factors potentially associated with survival and place of death were obtained. A total of 443 patients with cancer were analyzed, and 167 patients were discharged to home and 276 were not.

RESULTS

Propensity score matching analyses revealed that median survival time was significantly longer in patients who were discharged to home than those who were not (57 vs. 27 days, P < 0.001). Multiple logistic regression analysis identified that worse Palliative Prognostic Index (odds ratio [OR] = 1.21, 95% confidence interval [CI] = 1.03-1.44, p = 0.025) and family members' desire for home death (OR = 6.30, 95% CI = 2.32-17.1, p < 0.001) were significantly associated with home death after their discharge.

CONCLUSIONS

Discharge to home from palliative care units might have some positive impacts on patient survival.

Creation of a Nursing Intervention Model to Support Decision Making by Elderly Advanced Cancer Patients and Their Families About the Place of Death, and Evaluation of the Model's Appropriateness and Clinical Applicability

Elderly patients with advanced cancer and their families need to be supported in the process of making a decision about a place to die. The objective of this research was to evaluate the appropriateness and clinical applicability of a nursing intervention model we developed to support decision making by elderly advanced cancer patients and their families about the place of death. We created the Nursing Intervention Model using the framework of the nursing intervention model reported by McEvoy and Egan (1979). Our survey was performed on 5 physicians and 9 nurses engaged in decision making about the place of terminal care and death for cancer patients. Focus group interviews were conducted to determine the appropriateness of the model. A content analysis technique was used to analyze the data obtained. Survey participants expressed an overall view that the contents of "Intervention Focus" and "Nursing Activity" are generally appropriate. On the other hand, the challenges to be addressed include clarification of which patients the model is applicable to support their decision making, positioning within the model of factors that influence the decision-making process, and further identification of the roles of nurses in an interdisciplinary approach to health care.

Association between respiratory and heart rate fluctuations and death occurrence in dying cancer patients: continuous measurement with a non-wearable monitor

BACKGROUND

The present study aimed to explore the association between impending death and continual changes in respiratory and heart rates measured using a non-wearable monitor every minute for the final 2 weeks of life in dying cancer patients.

METHODS

In this longitudinal study, we enrolled patients in a palliative care unit and continuously measured their respiratory and heart rates via a monitor and additionally captured their other vital signs and clinical status from medical records.

RESULT

A dataset was created comprising every 24-h data collected from every-minute raw data, including information from 240 days prior to death from 24 patients (345,600 data); each patient's data were measured for 3-14 days until death. After confirming the associations between the respiratory and heat rate values on the day of death (n = 24) or other days (2-14 days before death, n = 216) and the mean, maximum, minimum, and variance of respiratory and heart rates every 24 h by univariate analyses, we conducted a repeated-measures logistic regression analysis using a generalized estimating equation. Finally, the maximum respiratory rate and mean heart rate were significantly associated with death occurring within the following 3 days (0-24 h, 0-48 h, and 0-72 h), except for the maximum respiratory rate that occurs within 0-24 h.

CONCLUSION

The maximum respiratory rate and mean heart rate measured every minute using a monitor can warn family caregivers and care staff, with the support of palliative care professionals, of imminent death among dying patients at home or other facilities.