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1.
Medicina (B.Aires) ; 83(2): 241-255, jun. 2023. graf
Artigo em Inglês | LILACS-Express | LILACS | ID: biblio-1448627

RESUMO

Abstract Introduction: Cancer patients have multiple and complex needs. Argentina has a medium-high cancer in cidence. 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. Methods: The NECPAL2 was a prospective longitudi nal observational study. We report a two-year health care 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. Results: 2104 cancer patients screened. 681 were NECPAL+. 21% of them presented more than six pa rameters 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. Discussion: This 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 policy makers for embracing palliative model development for better cancer patient care.


Resumen Introducción: Los pacientes con cáncer tienen necesi dades múltiples y complejas que se deben atender opor tunamente en los distintos niveles del sistema sanitario. Argentina tiene una incidencia de cáncer media-alta pero solo el 14% de los pacientes acceden a cuidados paliativos. El objetivo de este estudio fue desarrollar e implementar un modelo multicéntrico de atención integral del paciente con cáncer avanzado. Métodos: El NECPAL2 fue un estudio observacional longitudinal prospectivo de dos años. Se evaluaron pacientes adultos con cáncer avanzado. Se utilizó la herramienta NECPAL como instrumento de cribado. Los pacientes NECPAL+ son aquellos con la pregunta sorpre sa positiva -¿Le sorprendería que este paciente muriera en el próximo año? (no)- y, al menos, un indicador de enfermedad avanzada. Los pacientes fueron reevaluados periódicamente con escalas validadas para la gestión clínica de casos. El proyecto se desarrolló en tres etapas consecutivas y seis fases. Se analizaron los resultados con un enfoque pronóstico y paliativo. Resultados: Se identificaron 2104 pacientes oncológicos, 681 eran NECPAL+. El 21% presentaba más de seis paráme tros de gravedad o progresión. Más del 60% de los pacientes NECPAL+ tenían una evaluación inicial multidimensional completa y documentada. La supervivencia media general fue de 8 meses. El 61.9% falleció durante el periodo de seguimiento. Se identificaron predictores de supervivencia. Más del 65% fueron derivados a cuidados paliativos; el 10% recibió atención domiciliaria. Se reconocieron áreas de mejora. Se creó un documento de recomendaciones. Discusión: Este estudio demostró que un modelo predictivo multicéntrico y en varios niveles es factible y mejora las posibilidades de derivación oportuna para atención paliativa. A pesar de las limitaciones este es tudio puede inspirar políticas para mejorar la atención integral de pacientes con cáncer avanzado.

2.
Medicina (B Aires) ; 83(2): 241-255, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37094193

RESUMO

INTRODUCTION: Cancer 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. METHODS: The 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. RESULTS: 2104 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. DISCUSSION: This 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.


Introducción: Los pacientes con cáncer tienen necesidades múltiples y complejas que se deben atender oportunamente en los distintos niveles del sistema sanitario. Argentina tiene una incidencia de cáncer media-alta pero solo el 14% de los pacientes acceden a cuidados paliativos. El objetivo de este estudio fue desarrollar e implementar un modelo multicéntrico de atención integral del paciente con cáncer avanzado. Métodos: El NECPAL2 fue un estudio observacional longitudinal prospectivo de dos años. Se evaluaron pacientes adultos con cáncer avanzado. Se utilizó la herramienta NECPAL como instrumento de cribado. Los pacientes NECPAL+ son aquellos con la pregunta sorpresa positiva - ¿Le sorprendería que este paciente muriera en el próximo año? (no)- y, al menos, un indicador de enfermedad avanzada. Los pacientes fueron reevaluados periódicamente con escalas validadas para la gestión clínica de casos. El proyecto se desarrolló en tres etapas consecutivas y seis fases. Se analizaron los resultados con un enfoque pronóstico y paliativo. Resultados: Se identificaron 2104 pacientes oncológicos, 681 eran NECPAL+. El 21% presentaba más de seis parámetros de gravedad o progresión. Más del 60% de los pacientes NECPAL+ tenían una evaluación inicial multidimensional completa y documentada. La supervivencia media general fue de 8 meses. El 61.9% falleció durante el periodo de seguimiento. Se identificaron predictores de supervivencia. Más del 65% fueron derivados a cuidados paliativos; el 10% recibió atención domiciliaria. Se reconocieron áreas de mejora. Se creó un documento de recomendaciones. Discusión: Este estudio demostró que un modelo predictivo multicéntrico y en varios niveles es factible y mejora las posibilidades de derivación oportuna para atención paliativa. A pesar de las limitaciones este estudio puede inspirar políticas para mejorar la atención integral de pacientes con cáncer avanzado.


Assuntos
Neoplasias , Cuidados Paliativos , Adulto , Humanos , Estudos Prospectivos , Neoplasias/diagnóstico , Prognóstico , Encaminhamento e Consulta
3.
Ecancermedicalscience ; 15: 1316, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-35047067

RESUMO

BACKGROUND: Early identification of palliative needs has proven benefits in quality of life, survival and decision-making. The NECesidades PALiativas (NECPAL) Centro Coordinador Organización Mundial de la Salud - Instituto Catalán de Oncología (CCOMS-ICO©) tool combines the physician's insight with objective disease progression parameters and advanced chronic conditions. Some parameters have been independently associated with mortality risk in different populations. According to the concept of the 'prognostic approach' as a companion of the 'palliative approach', predictive models that identify individuals at high mortality risk are needed. OBJECTIVE: We aimed to identify prognostic factors of mortality in cancer in our cultural context. METHOD: We assessed cancer patients with palliative needs until death using this validated predictive tool at three hospitals in Buenos Aires City. This multifactorial, quantitative and qualitative non-dichotomous assessment process combines subjective perception (the surprise question: Would you be surprised if this patient dies in the next year?) with other parameters, including the request (and need) for palliative care (PC), the assessment of disease severity, geriatric syndromes, psychosocial factors and comorbidities, as well as the use of healthcare resources. RESULTS: 2,104 cancer patients were identified, 681 were NECPAL+ (32.3%). During a 2-year follow-up period, 422 NECPAL+ patients died (61.9%). The mean overall survival was 8 months. A multivariate model was constructed with significant indicators in univariate analysis. The best predictors of mortality were: nutritional decline (p < 0.000), functional decline (p < 0.000), palliative performance scale (PPS) ≤ 50 (p < 0.000), persistent symptoms (p < 0.002), functional dependence (p < 0.000), poor treatment response (p < 0.000), primary cancer diagnosis (p = 0.024) and condition (in/outpatients) (p < 0.000). Only three variables remained as survival predictors: low response to treatment (p < 0.001), PPS ≤ 50 (p < 0.000) and condition (in/outpatients) (p < 0.000). CONCLUSION: This prospective model aimed to improve cancer survival prediction and timely PC referral in Argentinian hospitals.

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