2012
DOI: 10.1001/archinternmed.2012.2364
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Factors Important to Patients' Quality of Life at the End of Life

Abstract: Context When curative treatments are no longer options for dying cancer patients, the focus of care often turns from prolonging life to promoting quality-of-life (QOL). Limited data exist on what predicts better QOL at the end-of-life (EOL) for advanced cancer patients. Objective To determine the factors that most influence QOL at the EOL, thereby, identifying promising targets for interventions to promote EOL QOL. Design, Setting, Participants Coping with Cancer (CwC1) is a US multi-site, prospective, lon… Show more

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Cited by 250 publications
(251 citation statements)
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“…57 We achieved a reduction in the use of nasogastric tubes. We were also able to increase use of the sublingual route.…”
Section: Discussionmentioning
confidence: 99%
“…57 We achieved a reduction in the use of nasogastric tubes. We were also able to increase use of the sublingual route.…”
Section: Discussionmentioning
confidence: 99%
“…[75][76][77] Patients with advanced cancer who spend time in private religious activities before their diagnosis report higher quality of life, including symptoms such as pain. 78 Caring for a loved one who is dying and in pain is one of the most stressful experiences that one can go through. 79 Concern about pain is the second most frequent problem reported by relatives caring for patients with advanced cancer in the home.…”
Section: Pain and Psychological Factors At The End Of Lifementioning
confidence: 99%
“…Research specific to factors impacting perceived quality of care is scarce; the authors selected predictor variables based on the existing literature and/or their own clinical experience regarding factors impacting caregiver quality of life, mental health, bereavement, and experience of EOL care. 18,30,31 Because CEQUEL is derived from Wave 2 interviews, other Wave 2 variables were not considered in order to make a stronger statement of predictive value. The authors selected for regression analyses only those items potentially modifiable in the clinical context, dividing them into conceptual categories detailed in Figure 3.…”
Section: Predictor Variablesmentioning
confidence: 99%