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Variability of cost trajectories over the last year of life in patients with advanced breast cancer in the Netherlands

OBJECTIVE: In breast cancer patients, treatment at the end of life accounts for a major share of medical spending. However, little is known about the variability of cost trajectories between patients. This study aims to identify underlying latent groups of advanced breast cancer patients with simila...

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Detalles Bibliográficos
Autores principales: Schneider, Paul P., Pouwels, Xavier G. L. V., Passos, Valéria Lima, Ramaekers, Bram L. T., Geurts, Sandra M. E., Ibragimova, Khava I. E., de Boer, Maaike, Erdkamp, Frans, Vriens, Birgit E. P. J., van de Wouw, Agnes J., den Boer, Marien O., Pepels, Manon J., Tjan-Heijnen, Vivianne C. G., Joore, Manuela A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145011/
https://www.ncbi.nlm.nih.gov/pubmed/32271794
http://dx.doi.org/10.1371/journal.pone.0230909
Descripción
Sumario:OBJECTIVE: In breast cancer patients, treatment at the end of life accounts for a major share of medical spending. However, little is known about the variability of cost trajectories between patients. This study aims to identify underlying latent groups of advanced breast cancer patients with similar cost trajectories over the last year before death. METHODS: Data from deceased advanced breast cancer patients, diagnosed between 2010 and 2017, were retrieved from the Southeast Netherlands Advanced Breast Cancer (SONABRE) Registry. Costs of hospital care over the last twelve months before death were analyzed, and the variability of longitudinal patterns between patients were explored using group-based trajectory modeling. Descriptive statistics and multinomial logistic regression were applied to investigate differences between the identified latent groups. RESULTS: We included 558 patients. Over the last twelve months before death, mean hospital costs were €2,255 (SD = €492) per month. Costs increased over the last five months and reached a maximum of €3,614 in the last month of life, driven by hospital admissions, while spending for medication declined over the last three months of life. Based on patients’ individual cost trajectories, we identified six latent groups with distinct longitudinal patterns, of which only two showed a marked increase in costs over the last twelve months before death. Latent groups were constituted of heterogeneous patients, and clinical characteristics explained membership only to a limited extent. CONCLUSIONS: The average costs of advanced breast cancer patients increased towards the end of life. However, we uncovered several latent groups of patients with divergent cost trajectories, which did not reflect the overall increasing trend. The mechanisms underlying the variability in cost trajectories warrants further research.