Validation Study of the PALCOM Scale of Complexity of Palliative Care Needs: A Cohort Study in Advanced Cancer Patients

Author:

Viladot Margarita1,Gallardo-Martínez Jose-Luís2,Hernandez-Rodríguez Fany3,Izcara-Cobo Jessica2,Majó-LLopart Josep4,Peguera-Carré Marta2,Russinyol-Fonte Giselle3,Saavedra-Cruz Katia2,Barrera Carmen1,Chicote Manoli1,Barreto Tanny-Daniela1,Carrera Gemma1,Cimerman Jackeline1,Font Elena15,Grafia Ignacio1,Llavata Lucia1,Marco-Hernandez Javier1ORCID,Padrosa Joan1ORCID,Pascual Anais15,Quera Dolors3,Zamora-Martínez Carles1ORCID,Bozzone Ana-Maria6ORCID,Font Carme1,Tuca Albert157ORCID

Affiliation:

1. Unit of Supportive and Palliative Care in Cancer, Medical Oncology Department, Hospital Clínic de Barcelona, University of Barcelona, 08036 Barcelona, Spain

2. Home Care Support Teams Program (PADES) Group Mutuam, 08025 Barcelona, Spain

3. Mutuam Güell Social Health Care Hospital, 08024 Barcelona, Spain

4. ICO Gerona (Catalan Cancer Institute), 17007 Gerona, Spain

5. Psychosocial Support Team, “La Caixa” Foundation (EAPS), Hospital Clínic de Barcelona, 08036 Barcelona, Spain

6. catEAP Sarrià SLP, 08017 Barcelona, Spain

7. Chair of Palliative Care, University of Barcelona, 08036 Barcelona, Spain

Abstract

Background: In a patient-centred model of care, referral to early palliative care (EPC) depends on both the prognosis and the complexity of care needs. The PALCOM scale is a 5-domain multidimensional assessment tool developed to identify the level of complexity of palliative care needs of cancer patients. The aim of this study was to validate the PALCOM scale. Patient and methods: We conducted a prospective cohort study of cancer patients to compare the PALCOM scale and expert empirical assessment (EA) of the complexity of palliative care needs. The EA had to categorise patients according to their complexity, considering that medium to high levels required priority attention from specialist EPC teams, while those with low levels could be managed by non-specialist teams. Systematically collected multidimensional variables were recorded in an electronic report form and stratified by level of complexity and rating system (PALCOM scale versus EA). The correlation rank (Kendall’s tau test) and accuracy test (F1-score) between the two rating systems were analysed. ROC curve analysis was used to determine the predictive power of the PALCOM scale. Results: A total of 283 advanced cancer patients were included. There were no significant differences in the frequency of the levels of complexity between the EA and the PALCOM scale (low 22.3–23.7%; medium 57.2–59.0%; high 20.5–17.3%). The prevalence of high symptom burden, severe pain, functional impairment, socio-familial risk, existential/spiritual problems, 6-month mortality and in-hospital death was significantly higher (p < 0.001) at the high complexity levels in both scoring systems. Comparative analysis showed a high correlation rank and accuracy between the two scoring systems (Kendall’s tau test 0.81, F1 score 0.84). The predictive ability of the PALCOM scale was confirmed by an area under the curve in the ROC analysis of 0.907 for high and 0.902 for low complexity. Conclusions: In a patient-centred care model, the identification of complexity is a key point to appropriate referral and management of shared care with EPC teams. The PALCOM scale is a high precision tool for determining the level of complexity of palliative care needs.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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