Samuel Shih-Chih Wang1, Chao-Ming Huang2, Rung-Chuang Feng2, Yi-Ling Wu2, Sheng-Jean Huang3. 1. Department of Health and Welfare, University of Taipei, Taipei, Taiwan. 2. Taipei City Hospital, Taipei, Taiwan. 3. Taipei City Hospital, Taipei, Taiwan; College of Medicine, National Taiwan University, Taipei, Taiwan. Electronic address: DAW15@tpech.gov.tw.
Abstract
BACKGROUND/ PURPOSE: Very few studies have investigated the screening tools that aim to identify the need of palliative care services among patients with advanced cancer or chronic non-malignant diseases. This study validated the one-page Taiwanese version-Palliative Care Screening Tool (TW-PCST) for screening inpatients with potential palliative care needs. METHOD: ROC curves were produced to examine the sensitivities and specificities at varying cut-off points. The optimal cut-off value to predict mortality was justified using the Youden's index. The screening was conducted on the first day of admission. Patients were prospectively followed-up after the baseline assessment. Three followed-up periods, namely 14 days, 90 days, and 180 days were analyzed. RESULTS: A total of 21,596 patients were screened. AUCs for all cut-off scores varied from 0.84 to 0.88. A total-ABCD score ≥2 gave the highest Youden's index for 90 days and 180 days follow-up periods. The optimal cut-point for 14 days was score ≥3. CONCLUSION: The TW-PCST demonstrated a good sensitivity and specificity in identification of inpatients with palliative care needs. A total-ABCD score ≥2 may be considered as a trigger for further referral.
BACKGROUND/ PURPOSE: Very few studies have investigated the screening tools that aim to identify the need of palliative care services among patients with advanced cancer or chronic non-malignant diseases. This study validated the one-page Taiwanese version-Palliative Care Screening Tool (TW-PCST) for screening inpatients with potential palliative care needs. METHOD: ROC curves were produced to examine the sensitivities and specificities at varying cut-off points. The optimal cut-off value to predict mortality was justified using the Youden's index. The screening was conducted on the first day of admission. Patients were prospectively followed-up after the baseline assessment. Three followed-up periods, namely 14 days, 90 days, and 180 days were analyzed. RESULTS: A total of 21,596 patients were screened. AUCs for all cut-off scores varied from 0.84 to 0.88. A total-ABCD score ≥2 gave the highest Youden's index for 90 days and 180 days follow-up periods. The optimal cut-point for 14 days was score ≥3. CONCLUSION: The TW-PCST demonstrated a good sensitivity and specificity in identification of inpatients with palliative care needs. A total-ABCD score ≥2 may be considered as a trigger for further referral.
Authors: Hui-Mei Lin; Chih-Kuang Liu; Yen-Chun Huang; Chieh-Wen Ho; Mingchih Chen Journal: Int J Environ Res Public Health Date: 2021-12-31 Impact factor: 3.390
Authors: Yung-Feng Yen; Hsiao-Yun Hu; Yi-Chang Chou; Chu-Chieh Chen; Chin-Yu Ho Journal: Int J Environ Res Public Health Date: 2022-01-18 Impact factor: 3.390