• Vilma A Tripodoro, Victoria Llanos, María Laura Daud, Pilar Muñoz, Eden Del Mar, Romina Tranier, Sol Sandjian, Silvina De Lellis, Juan Manuel Días, Álvaro Saurí, Gustavo G De Simone, and Xavier Gómez-Batiste.
• Instituto de Investigaciones Médicas Alfredo Lanari, Universidad de Buenos Aires, Argentina. E-mail: vilma.tripodoro@gmail.com.
• Medicina (B Aires). 2023 Jan 1; 83 (2): 241255241-255.

IntroductionCancer patients have multiple and complex needs. Argentina has a medium-high cancer incidence. Only 14% of patients with palliative care needs have access to specialized services. This study aimed to develop and implement an integrated cancer care model in three hospitals and at home based care level.MethodsThe NECPAL2 was a prospective longitudinal observational study. We report a two-year healthcare intervention and its implementation process. The NECPAL tool was used as a screening instrument. Adult cancer patients were recruited and assessed. NECPAL+ patients are those with a positive surprise question - Would you be surprised if this patient dies in the next year? (no)- and, at least one indicator of advanced disease. Patients were reassessed periodically with validated scales. Feedback was given for clinical case management. The project was developed in three consecutive stages and six phases. Data were collected for statistical analysis with a prognosis and palliative approach.Results2104 cancer patients screened. 681 were NECPAL+. 21% of them presented more than six parameters of severity or progression. The mean general survival was 8 months. 61.9% died within the follow-up period. Survival predictors were identified. Over 65% of patients were referred to palliative care; 10% received home-care. Areas for improvement were recognized. An implementation document was created.DiscussionThis study showed that a predictive model is feasible, improving chances for timely referral and needs approach. It provided the basis for further implementation research and should encourage policymakers for embracing palliative model development for better cancer patient care.

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