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Factors predicting the effectiveness of palliative care in patients with advanced cancer

Published online by Cambridge University Press:  05 August 2014

Suchira Chaiviboontham*
Affiliation:
Ramathibodi School of Nursing, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
*
Address correspondence and reprint requests to: Suchira Chaiviboontham, Ramathibodi School of Nursing, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Rama VI Road, Ratchathewee, Bangkok, Thailand, 10400. E-mail:suchira.cha@mahidol.ac.th
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Abstract

Objective:

The purpose of this study was to assess the factors that predict the effectiveness of palliative care in patients with advanced cancer.

Method:

Cross-sectional data were collected from 240 patients recruited from three tertiary care hospitals in Bangkok and suburban Thailand aged 18 years or older who were willing to participate; able to speak, read, and write Thai; were not receiving aggressive cancer treatment; and had been diagnosed with advanced-stage cancer. Participants were asked to complete a Personal Information Questionnaire (PIQ), a Palliative Care Assessment Form (PCAF), and the Spiritual Well-Being Scale (SWBS).

Results:

The significant predictors of the effectiveness of palliative care in patients with advanced cancer were found to be spiritual well-being (p = 0.000) and palliative care strategies: a combination of pharmacological and psychosocial care, mind–body intervention, and spiritual care; physical management; and traditional medicine, herbal treatment, and diet management (p = 0.027). The likelihood of effectiveness for patients whose spiritual well-being and palliative care strategies scores increased by an average of one point increased by factors of 1.058 and 2.271, respectively.

Significance of Results:

These findings suggest that patients who experienced better spiritual well-being and who employed a variety of palliative care strategies also experienced enhanced effectiveness of palliative care.

Information

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Table 1. Logistic regression model for predicting the effectiveness of palliative care