TY - JOUR
T1 - Using the P-CaRES Tool to Identify Palliative Care Needs in Patients with Life-Limiting Diseases
T2 - An Analysis of Internal Medicine Admissions
AU - Fidelsberger, Luise
AU - Fischer, Claudia
AU - Kreye, Gudrun
AU - Meran, Eleonora
AU - Likar, Rudolf
AU - van Tulder, Raphael
AU - Stettner, Haro
AU - Masel, Eva Katharina
AU - Singer, Josef
AU - Le, Nguyen-Son
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/6/13
Y1 - 2025/6/13
N2 - Background/Objectives: Early integration of palliative care (PC) improves outcomes for patients with life-limiting diseases (LLDs). This study evaluated the effectiveness of the Palliative Care and Rapid Emergency Screening (P-CaRES) tool-originally developed for emergency settings-in identifying unmet PC needs among patients admitted to internal medicine wards. Methods: In this retrospective study, the P-CaRES tool was applied to medical records of patients with LLDs. Demographic and clinical data were extracted from charts. Logistic regression identified predictors of PC receipt; survival was analyzed using Kaplan-Meier estimates and log-rank tests. Results: Among 2509 patients screened, 631 (23.9%) had at least one LLD. Of these, 451 (71.5%) were identified as having PC needs. However, only 132 (20.9%) received PC services-126 with documented need and 6 without. Advanced cancer (OR = 6.46, p < 0.001), a positive response to the surprise question (OR = 4.88, p = 0.008), and frequent hospitalizations (OR = 2.24, p < 0.001) predicted PC receipt. Median survival declined with increasing disease burden (10 vs. 372 days for patients with ≥3 vs. 1 LLD), unmet PC needs (85 vs. 1383 days), and a "yes" response to the surprise question (79 vs. 1598 days) (all p < 0.001). Conclusions: The P-CaRES tool effectively identified PC needs in patients with LLDs, including those with cancer. Clinical indicators such as frequent hospital admissions, a positive response to the surprise question, and multimorbidity predicted both the need for PC and shorter survival. Nonetheless, substantial gaps existed between identified needs and PC delivery-especially for non-cancer patients. Structured screening and timely referrals may bridge this gap and improve care for seriously ill individuals.
AB - Background/Objectives: Early integration of palliative care (PC) improves outcomes for patients with life-limiting diseases (LLDs). This study evaluated the effectiveness of the Palliative Care and Rapid Emergency Screening (P-CaRES) tool-originally developed for emergency settings-in identifying unmet PC needs among patients admitted to internal medicine wards. Methods: In this retrospective study, the P-CaRES tool was applied to medical records of patients with LLDs. Demographic and clinical data were extracted from charts. Logistic regression identified predictors of PC receipt; survival was analyzed using Kaplan-Meier estimates and log-rank tests. Results: Among 2509 patients screened, 631 (23.9%) had at least one LLD. Of these, 451 (71.5%) were identified as having PC needs. However, only 132 (20.9%) received PC services-126 with documented need and 6 without. Advanced cancer (OR = 6.46, p < 0.001), a positive response to the surprise question (OR = 4.88, p = 0.008), and frequent hospitalizations (OR = 2.24, p < 0.001) predicted PC receipt. Median survival declined with increasing disease burden (10 vs. 372 days for patients with ≥3 vs. 1 LLD), unmet PC needs (85 vs. 1383 days), and a "yes" response to the surprise question (79 vs. 1598 days) (all p < 0.001). Conclusions: The P-CaRES tool effectively identified PC needs in patients with LLDs, including those with cancer. Clinical indicators such as frequent hospital admissions, a positive response to the surprise question, and multimorbidity predicted both the need for PC and shorter survival. Nonetheless, substantial gaps existed between identified needs and PC delivery-especially for non-cancer patients. Structured screening and timely referrals may bridge this gap and improve care for seriously ill individuals.
UR - https://www.scopus.com/pages/publications/105009041890
U2 - 10.3390/jcm14124206
DO - 10.3390/jcm14124206
M3 - Journal article
C2 - 40565951
SN - 2077-0383
VL - 14
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 12
M1 - 4206
ER -