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Purpose: We held workshops (WSs) that recommend the use of advance care planning (ACP) for medical and health care professionals, and clarified whether or not these WSs motivated them to engage in their own ACP using two indicators: the proportion of professionals who wanted to conduct ACP and changes in the Death Attitude Inventory (DAI). Method: After the WS, we divided participants into two groups, depending on whether or not they wanted to have end-of-life discussions with their family and loved ones. The changes in the DAI brought about by the WSs and their impressions of the WS were compared between the groups. Results: A total of 91 participants were analyzed, of which 42 (46.2%) wanted to have end-of-life discussions with their family and loved ones. In both groups, “afterlife view” and “death anxiety and fear” in the DAI were significantly reduced after the WS when compared to attitudes from before the WS. In the group which wanted to have end-of-life discussions, “death avoidance” (effect size −0.42) and “sense of purpose in life” (effect size 0.51) changed significantly and positively. Conclusion: About half of the participants wanted to perform ACP after having attended the WSs, apparently due to an increased sense of purpose in life and a reduced death avoidance.
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Purpose: This study aimed to implement an end-of-life care simulation that was assessed at one facility (University A) on nursing university students in a different educational environment (University B), and assess the simulation through a review. Method: After the simulation, participants were asked to freely comment on the review sheet and the contents were analyzed. There were 12 participants. Results: Comments on the review sheet were summarized in 13 categories: self-understanding of nursing, realization of one’s positive view regarding nursing, acquisition of knowledge regarding communication, acquisition of knowledge regarding end-of-life, gaining learning opportunities, realization of effects from debriefing, positive change one experiences regarding nursing, acquisition of knowledge regarding nursing, realization of reality, assessment of teachers’ involvement, assessment of implementation method, assessment of the atmosphere of the venue, and assessment of experiences. Conclusion: Participants of the simulation can be expected to gain a similar learning experience regardless of the learning environment.
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Objective: This study evaluated the effectiveness of an end-of-life care simulation as a way to improve nursing students’ resilience. Methods: In total, 61 baccalaureate nursing students were randomly assigned to control or education groups. In this randomized controlled study on an end-of-life care simulation, resilience was measured at baseline, and after the simulation. Result: At the baseline, the two groups showed no statistical differences in their resilience scores. However, the total score, and scores for the factors “I am”, “I have”, and “I will/ do” were significantly higher for the education group than the control group in the post-test. The total scores and three factor scores within the education group were also significantly higher in the post-test than at baseline, but in the control group only the “I am” factor significantly increased over time. Conclusion: The end-of-life care simulation scenario showed the potential to increase the resilience of participants, especially their ability to build trusting relationships with others and expand their network, and to set goals and grow toward them.
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Purpose: To clarify the contents of nursing students’ feedback after they participated in a terminal care simulation. Method: Free description type answer sentences were analyzed qualitatively using Berelson’s content analysis. Results: Participants were 39 students. Feedback contents were divided into 334 recording units. As the result of analysis, 13 categories, including “acquisition of knowledge on communication,” “evaluation on method of implementation,” “self-understanding on nursing,” “self-positive-prospect on nursing,” “acquisition of knowledge on terminal care,” “evaluation on simulation ambience,” “acquisition of learning opportunities,” “self-positive-changing on nursing,” “effect of debriefing,” “effect of experience,” “feeling of reality,” “acquisition of knowledge on nursing” and “evaluation on faculty’s intervention” were formed. Conclusion: It was suggested that simulated patients contributed to making end of life clinical settings because the realism of the simulation had been apparent from the results. To make the terminal care simulation more developed, future studies should investigate how to give a briefing, and so on.
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In recent years, cancer treatment methods have diversified, and there are increasing numbers of occasions where patients or their families are required to make increasingly complex decisions. Currently, there are no guidelines for determining the process and the individual who decides the treatment strategy for cancer patients who are unable to decide for themselves. Particularly, no report has been published on decision-making for end-of-life care in patients with intellectual disabilities. This report documents our involvement in decision-making during end-of-life care for a cancer patient with intellectual disabilities. This patient’s decision-making ability or lack thereof was determined using reliable and validated assessment scales. The collective decision to not resuscitate in case of cardiac arrest and to care for the patient in the palliative care unit was made through a multidisciplinary collaboration between the social welfare team and the hospital based on reports and guidelines from abroad. Going forward, guidelines for decision-making support for terminal ill cancer patients with intellectual disabilities and decision-making by proxies for such patients need to be established in Japan.
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<p>Little is known about early death after admission during the terminal phase in advanced cancer patients. We retrospectively analyzed data from 510 advanced cancer patients who were at the end-of-life between August 2011 and August 2016, and found that 83 patients (16.3%) died within 3 days after admission to our institute. We divided the deceased patients into those who died within 3 days (early death group) and those who died after more than 4 days (non-early death group) after admission. Prevalence of delirium, cancer pain, dyspnea, nausea and vomiting, and fatigue patients showed no significant differences. Mean hydration at the end of life was significantly more per infusion for early death group than non-early death group. Continuous sedation and mean opioid use was significantly less for early death group than non-early death group. The risk factor of age, sex, clinical stage, histological state, overtreatment of chemotherapy, comorbidity had no significant associated with early death. The primary site of cancer, the number of metastatic sites, the consciousness level, and the performance status might be predictors for early death after admission in advanced cancer patients at the end-of-life.</p>
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PURPOSE: In Japan, about 80% of deaths occur in hospitals, especially long-term care beds. The purpose of this study was to clarify the nursing practices used for such older patients at the end-of-life stage in long-termcare wards via the modified grounded theory approach (M-GTA). METHODS: Data were obtained through semi-structured interviews of nineteen nurses working in cooperating long-term care wards, acute care wards, or hospice services (to allow for constant comparison between these types of wards) in western Japan in 2014. We analyzed the transcribed data using M-GTA. RESULTS: The core category that emerged from the analysis was “Balancing enhancement of patients' daily life quality and life-sustaining care in the face of uncertainty about the patients' character.” Eleven categories emerged, such as Seeking older patients' character with their family, Supporting families' decision making, Rebuilding patients' daily life in the ward, and Sustaining patients' life span through medical care. CONCLUSIONS: Nurses experienced uncertainty about the care needs of older patients, the ethical problems of Enhancing the patients' QOL by using risky care, and the evaluation criteria used to judge their own nursing care after the patients' death. All nurses had the goal of ensuring a natural death for all patients. Nurses' acceptance and evaluation of their own care was critically influenced by the patient's family's responses to their care after patients' death. Further research is necessary to develop evaluation criteria and educational programs for end-of-life nursing care of older adults.