Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Caregiver assessment of patients with advanced cancer: concordance with patients, effect of burden and positivity | BioMed Central Health and Quality of Life Outcomes Research Caregiver assessment of patients with advanced cancer concordance with patients effect of burden and positivity Irene J Higginson and Wei Gao Open Access Address King s College London School of Medicine at Guy s King s College and St Thomas Hospitals Department of Palliative Care Policy and Rehabilitation Weston Education Centre Cutcombe Road London SE5 9RJ UK Email Irene J Higginson - Wei Gao - Corresponding author Published 2 June 2008 Received 2 January 2008 Health and Quality of Life Outcomes 2008 6 42 doi 1477-7525-6-42 Accepted 2 June 2008 This article is available from http content 6 1 42 2008 Higginson and Gao licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Clinicians and researchers often have to rely on information from caregivers to assess patients with advanced cancer. This study aims to assess the validity using patients assessment as the gold standard of caregiver reports of patient concerns and the roles of caregiver burden and positivity. Methods A total of 64 advanced cancer patient and informal caregiver dyads were recruited from regional palliative care services and interviewed. Patients outcomes were assessed with both the patient and the caregiver version of the Palliative Outcome Scale POS caregiver burden and positivity were collected with the Zarit Burden interview ZBI and three questions on achievements and relationships. The agreement between patient- and caregiver-rated POS was measured with weighted kappa statistics. The roles of caregiver burden and positivity in POS agreement were studied with logistic regression controlling for potential confounders .
