Hypnosis and Existential Psychotherapy with End-Stage Terminally Ill Patients

2004 ◽  
Vol 46 (3) ◽  
pp. 201-213 ◽  
Author(s):  
Alex Iglesias
Keyword(s):  
Terminally Ill ◽  
Existential Psychotherapy ◽  
Terminally Ill Patients ◽  
End Stage

Strategy of Coping With End-Stage Disease and Cancer-Related Fatigue in Terminally Ill Patients

2013 ◽  
Vol 31 (7) ◽  
pp. 771-776 ◽  
Author(s):  
Aleksandra Modlińska ◽  
Bożena Kowalik ◽  
Tomasz Buss ◽  
Justyna Janiszewska ◽  
Monika Lichodziejewska-Niemierko
Keyword(s):  
Terminally Ill ◽  
Terminally Ill Patients ◽  
Cancer Related Fatigue ◽  
Stage Disease ◽  
End Stage

scholarly journals Peaceful End of Life Theory: A Critical Analysis of Its Use to Improve Nursing Practice

2021 ◽  
Vol 4 (3) ◽  
pp. 412-417
Author(s):  
Schadrack Ngabonziza ◽  
Marie Chantal Murekatete ◽  
Gerard Nyiringango ◽  
Sandra Marie Grace Musabwasoni
Keyword(s):  
End Of Life ◽  
Nursing Practice ◽  
Healthcare Providers ◽  
Terminally Ill ◽  
Practice Research ◽  
Nursing Interventions ◽  
Theory Analysis ◽  
Terminally Ill Patients ◽  
Research And Education ◽  
End Stage

BackgroundProvision of empathetic palliative care in agreement with patient’s favorites is an indispensable attitude of healthcare providers. A Peaceful End of Life Theory was designed by Rulandand Moore (1998),to provide theoretical framework for nurses who care for patients at end stage of their life.MethodsChinn and Kramer theory analysis guideline was used to analyse this theory to suggest its improvement.ResultsFive major concepts and sub-concepts are identified.This theory informs the nursing profession on the relieving interventions at the end of life. It provides a guidance to supportively manage terminally ill patients in collaboration with their families.ConclusionThis theory is important to guide nursing practice,research, and education. However, there is a lack of an instrument to measure the desired outcomes, some subconcepts do not cleary specify the nursing interventions, and it lacks the spiritual comfort to the terminally ill patients who believe in eternal life.Rwanda J Med Health Sci 2021;4(3):412-417

Terminally Ill Patients and Desire for Death

1986 ◽  
Author(s):  
J. H. Brown ◽  
P. Henteleff ◽  
S. Barakat ◽  
C. J. Rowe
Keyword(s):  
Terminally Ill ◽  
Terminally Ill Patients ◽  
Desire For Death

scholarly journals The role of EORTC QLQ-C15-PAL scores and inflammatory biomarkers in predicting survival in terminally ill patients with cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nanako Koyama ◽  
Chikako Matsumura ◽  
Yoshihiro Shitashimizu ◽  
Morito Sako ◽  
Hideo Kurosawa ◽  
...  
Keyword(s):  
Patient Reported Outcomes ◽  
Cox Regression ◽  
Terminally Ill ◽  
Inflammatory Biomarkers ◽  
Survival Curves ◽  
Patients With Cancer ◽  
Terminally Ill Patients ◽  
Patient Reported ◽  
Eortc Qlq

Abstract Background The clinical use of patient-reported outcomes as compared to inflammatory biomarkers for predicting cancer survival remains a challenge in palliative care settings. We evaluated the role of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative scores (EORTC QLQ-C15-PAL) and the inflammatory biomarkers C-reactive protein (CRP), albumin (Alb), and neutrophil-lymphocyte ratio (NLR) for survival prediction in patients with advanced cancer. Methods This was an observational study in terminally ill patients with cancer hospitalized in a palliative care unit between June 2018 and December 2019. Patients’ data collected at the time of hospitalization were analyzed. Cox regression was performed to examine significant factors influencing survival. A receiver operating characteristic (ROC) analysis was performed to estimate cut-off values for predicting survival within 3 weeks, and a log-rank test was performed to compare survival curves between groups divided by the cut-off values. Results Totally, 130 patients participated in the study. Cox regression suggested that the QLQ-C15-PAL dyspnea and fatigue scores and levels of CRP, Alb, and NLR were significantly associated with survival time, and cut-off values were 66.67, 66.67, 3.0 mg/dL, 2.5 g/dL, and 8.2, respectively. The areas under ROC curves of these variables were 0.6–0.7. There were statistically significant differences in the survival curves between groups categorized using each of these cut-off values (p < .05 for all cases). Conclusion Our findings suggest that the assessment of not only objective indicators for the systemic inflammatory response but also patient-reported outcomes using EORTC QLQ-C15-PAL is beneficial for the prediction of short-term survival in terminally ill patients with cancer.

scholarly journals Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer

2021 ◽  
Author(s):  
Nanako Koyama ◽  
Chikako Matsumura ◽  
Yuuna Tahara ◽  
Morito Sako ◽  
Hideo Kurosawa ◽  
...  
Keyword(s):  
Palliative Care ◽  
Terminally Ill ◽  
Symptom Clusters ◽  
Rank Test ◽  
Appetite Loss ◽  
Patients With Cancer ◽  
Terminally Ill Patients ◽  
Log Rank Test ◽  
Eortc Qlq ◽  
Cluster 2

Abstract Purpose The aims of the present study were to investigate the symptom clusters in terminally ill patients with cancer using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative Care (EORTC QLQ-C15-PAL), and to examine whether these symptom clusters influenced prognosis. Methods We analyzed data from 130 cancer patients hospitalized in the palliative care unit from June 2018 to December 2019 in an observational study. Principal component analysis was used to detect symptom clusters using the scored date of 14 items in the QLQ-C15-PAL, except for overall QOL, at the time of hospitalization. The influence of the existence of these symptom clusters and Palliative Performance Scale (PPS) on survival was analyzed by Cox proportional hazards regression analysis, and survival curves were compared between the groups with or without existing corresponding symptom clusters using the log-rank test. Results The following symptom clusters were identified: cluster 1 (pain, insomnia, emotional functioning), cluster 2 (dyspnea, appetite loss, fatigue, and nausea), and cluster 3 (physical functioning). Cronbach’s alpha values for the symptom clusters ranged from 0.72 to 0.82. An increased risk of death was significantly associated with the existence of cluster 2 and poor PPS (log-rank test, p = 0.016 and p < 0.001, respectively). Conclusion In terminally ill patients with cancer, three symptom clusters were detected based on QLQ-C15-PAL scores. Poor PPS and the presence of symptom cluster that includes dyspnea, appetite loss, fatigue, and nausea indicated poor prognosis.

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