Background: Amyotrophic Lateral Sclerosis (ALS) is a fatal motor neuron disease with a highly variable prognosis. Among the proposed prognostic models, the European Network for the cure of ALS (ENCALS) survival model has demonstrated good predictive performance. However, few studies have examined prognostic communication and the diffusion of prognostic algorithms in ALS care. Objective: To investigate neurologists' attitudes toward prognostic communication and their knowledge and utilization of the ENCALS survival model in clinical practice. Methods: A web-based survey was administered between May 2021 and March 2022 to the 40 Italian ALS Centers members of the Motor Neuron Disease Study Group of the Italian Society of Neurology. Results: Twenty-two out of 40 (55.0%) Italian ALS Centers responded to the survey, totaling 37 responses. The model was known by 27 (73.0%) respondents. However, it was predominantly utilized for research (81.1%) rather than for clinical prognostic communication (7.4%). Major obstacles to prognostic communication included the unpredictability of disease course, fear of a negative impact on patients or caregivers, dysfunctional reaction to diagnosis, and cognitive impairment. Nonetheless, the model was viewed as potentially useful for improving clinical management, increasing disease awareness, and facilitating care planning, especially end-of-life planning. Conclusions: Despite the widespread recognition and positive perceptions of the ENCALS survival model among Italian neurologists with expertise in ALS, its implementation in clinical practice remains limited. Addressing this disparity may require systematic investigations and targeted training to integrate tailored prognostic communication into ALS care protocols, aligning with the growing availability of prognostic tools for ALS.

Prognostic communication in amyotrophic lateral sclerosis: findings from a Nationwide Italian survey

Moglia, Cristina
First
;
Palumbo, Francesca
;
Botto, Rossana;Iazzolino, Barbara;Calvo, Andrea
Co-last
;
Leombruni, Paolo
Co-last
2024-01-01

Abstract

Background: Amyotrophic Lateral Sclerosis (ALS) is a fatal motor neuron disease with a highly variable prognosis. Among the proposed prognostic models, the European Network for the cure of ALS (ENCALS) survival model has demonstrated good predictive performance. However, few studies have examined prognostic communication and the diffusion of prognostic algorithms in ALS care. Objective: To investigate neurologists' attitudes toward prognostic communication and their knowledge and utilization of the ENCALS survival model in clinical practice. Methods: A web-based survey was administered between May 2021 and March 2022 to the 40 Italian ALS Centers members of the Motor Neuron Disease Study Group of the Italian Society of Neurology. Results: Twenty-two out of 40 (55.0%) Italian ALS Centers responded to the survey, totaling 37 responses. The model was known by 27 (73.0%) respondents. However, it was predominantly utilized for research (81.1%) rather than for clinical prognostic communication (7.4%). Major obstacles to prognostic communication included the unpredictability of disease course, fear of a negative impact on patients or caregivers, dysfunctional reaction to diagnosis, and cognitive impairment. Nonetheless, the model was viewed as potentially useful for improving clinical management, increasing disease awareness, and facilitating care planning, especially end-of-life planning. Conclusions: Despite the widespread recognition and positive perceptions of the ENCALS survival model among Italian neurologists with expertise in ALS, its implementation in clinical practice remains limited. Addressing this disparity may require systematic investigations and targeted training to integrate tailored prognostic communication into ALS care protocols, aligning with the growing availability of prognostic tools for ALS.
2024
45
12
5787
5794
Amyotrophic Lateral Sclerosis; Motor neuron disease; Prognostic communication; Prognostic prediction models
Moglia, Cristina; Palumbo, Francesca; Botto, Rossana; Iazzolino, Barbara; Ticozzi, Nicola; Calvo, Andrea; Leombruni, Paolo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2037238
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