Comparison of intuitive assessment and palliative care screening tool in the early identification of patients needing palliative care

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作者
Yung-Feng Yen
Hsiao-Yun Hu
Yun-Ju Lai
Yi-Chang Chou
Chu-Chieh Chen
Chin-Yu Ho
机构
[1] Taipei City Hospital,Section of Infectious Diseases
[2] Yangming Branch,Institute of Public Health
[3] National Yang-Ming University,Department of Health Care Management
[4] National Taipei University of Nursing and Health Sciences,Department of Education and Research
[5] Taipei City Hospital,School of Medicine
[6] University of Taipei,Division of Endocrinology and Metabolism, Department of Internal Medicine
[7] National Yang Ming Chiao Tung University,Department of Exercise Health Science
[8] Puli Branch of Taichung Veterans General Hospital,Department of Family Medicine
[9] National Taiwan University of Sport,Department of Psychology
[10] Taipei City Hospital,undefined
[11] Yangming Branch,undefined
[12] Soochow University,undefined
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The intuitive assessment of palliative care (PC) needs and Palliative Care Screening Tool (PCST) are the assessment tools used in the early detection of patients requiring PC. However, the comparison of their prognostic accuracies has not been extensively studied. This cohort study aimed to compare the validity of intuitive assessment and PCST in terms of recognizing patients nearing end-of-life (EOL) and those appropriate for PC. All adult patients admitted to Taipei City Hospital from 2016 through 2019 were included in this prospective study. We used both the intuitive assessment of PC and PCST to predict patients’ 6-month mortality and identified those appropriate for PC. The c-statistic value was calculated to indicate the predictive accuracies of the intuition and PCST. Of 111,483 patients, 4.5% needed PC by the healthcare workers’ intuitive assessment, and 6.7% had a PCST score ≥ 4. After controlling for other covariates, a positive response ‘yes’ to intuitive assessment of PC needs [adjusted odds ratio (AOR) = 9.89; 95% confidence interval (CI) 914–10.71] and a PCST score ≥ 4 (AOR = 6.59; 95%CI 6.17–7.00) were the independent predictors of 6-month mortality. Kappa statistics showed moderate concordance between intuitive assessment and PCST in predicting patients' 6-month mortality (k = 0.49). The c-statistic values of the PCST at recognizing patients’ 6-month mortality was significantly higher than intuition (0.723 vs. 0.679; p < 0.001). As early identification of patients in need of PC could improve the quality of EOL care, our results suggest that it is imperative to screen patients’ palliative needs by using a highly accurate screening tool of PCST.
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