ArticleAsia-Pacific journal of oncology nursing2024
Validating performance status and activities of daily living assessment tools for Chinese palliative care in a cancer setting: A cross-cultural psychometric study.
Article in Asia-Pacific journal of oncology nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study.BMC palliative care · 2025Article
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6 authors.
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Abstract
Objective: National approaches to the routine assessment of palliative care patients improve patient outcomes. However, validated tools and a national methodology for this are lacking in Mainland China. The Australian Palliative Care Outcomes Collaboration (PCOC) model is a well-established national program aimed at improving the quality of palliative care based on point-of-care outcomes assessment. This study aimed to culturally adapt and validate two measures used in PCOC (Australia-modified Karnofsky Performance Status [AKPS], Resource Utilization Groups - Activities of Daily Living [RUG-ADL]) in the Chinese context. Methods: A cross-cultural adaptation and validation study involving forward and backward translation methods, cognitive interviewing, and psychometric testing. Results: Two minor adjustments were made to the scoring instructions for the RUG-ADL, and the AKPS remained unchanged. Twenty-two clinicians participated in psychometric testing, completing 363 paired assessments on 135 inpatients. The correlations between AKPS and the Barthel index (BI) for activities of daily living ( Conclusions: The Chinese version of AKPS and RUG-ADL can be systematically used to assess performance status and dependency among palliative care patients. However, observational assessments and enhanced communication between clinicians and patients/caregivers is also recommended for optimal clinical utility.
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