Using the P-CaRES Tool to Identify Palliative Care Needs in Patients with Life-Limiting Diseases: An Analysis of Internal Medicine Admissions
Year: 2025
Type: article
Study design: Observational Study
Abstract: 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.
Source: Journal of Clinical Medicine
DOI: 10.3390/jcm14124206
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,137
Awards: G2525048396, G8247855290
OpenAlex ID: W4411282791
