Development of a Decision-Aid Form (DAF) for the stratification of care in a French comprehensive cancer center, a tool to support identification of care goals.


Journal

Annals of palliative medicine
ISSN: 2224-5839
Titre abrégé: Ann Palliat Med
Pays: China
ID NLM: 101585484

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 04 10 2021
accepted: 29 12 2021
pubmed: 12 3 2022
medline: 14 7 2022
entrez: 11 3 2022
Statut: ppublish

Résumé

For cancer patients, life-threatening complications may be difficult to anticipate, which can lead to complex medical decision-making processes. Since 2015, the Gustave Roussy Cancer Center has used a Decision-Aid Form (DAF), which contains an estimated gradation of care in cases where patients' conditions worsen. In this study, we assessed the acceptability of the DAF and the predictive value of the proposed stratification of care with regard to care delivered and patient's outcomes. During a 5-month period, all patients who had been transferred from Site 1 to Site 2 of the hospital were prospectively included. A DAF was completed for 89.3% of the 206 patients included. Planned stratification of care was indicated in nearly all cases. The involvement of the palliative care team was indicated in only 29% of the DAF. The value of the WHO/ECOG Performance Status (PS) was limited. Finally, the field "information for patients and relatives" was infrequently completed. Although the possibility of transfer to the Intensive Care Unit was proposed for two-thirds of the patients, 76% of the 35 patients experiencing an acute event received only medical or palliative care. Overall, the level of therapeutic commitment suggested by the DAF was most often revised towards less aggressive care. The results of our study suggest that implementing an advanced stratification record is possible in a French cultural setting. To achieve complete cultural acceptance, our large integrated institutional program continues to play a key role in anticipating intent, tracing and sharing information with patients and their relatives.

Sections du résumé

BACKGROUND BACKGROUND
For cancer patients, life-threatening complications may be difficult to anticipate, which can lead to complex medical decision-making processes. Since 2015, the Gustave Roussy Cancer Center has used a Decision-Aid Form (DAF), which contains an estimated gradation of care in cases where patients' conditions worsen. In this study, we assessed the acceptability of the DAF and the predictive value of the proposed stratification of care with regard to care delivered and patient's outcomes.
METHODS METHODS
During a 5-month period, all patients who had been transferred from Site 1 to Site 2 of the hospital were prospectively included.
RESULTS RESULTS
A DAF was completed for 89.3% of the 206 patients included. Planned stratification of care was indicated in nearly all cases. The involvement of the palliative care team was indicated in only 29% of the DAF. The value of the WHO/ECOG Performance Status (PS) was limited. Finally, the field "information for patients and relatives" was infrequently completed. Although the possibility of transfer to the Intensive Care Unit was proposed for two-thirds of the patients, 76% of the 35 patients experiencing an acute event received only medical or palliative care. Overall, the level of therapeutic commitment suggested by the DAF was most often revised towards less aggressive care.
CONCLUSIONS CONCLUSIONS
The results of our study suggest that implementing an advanced stratification record is possible in a French cultural setting. To achieve complete cultural acceptance, our large integrated institutional program continues to play a key role in anticipating intent, tracing and sharing information with patients and their relatives.

Identifiants

pubmed: 35272472
doi: 10.21037/apm-21-2854
pii: apm-21-2854
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1876-1887

Auteurs

Laurence Vigouret-Viant (L)

Supportive Care Unit, Interdisciplinary Cancer Course Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.

Clémence Legoupil (C)

Biostatistics and Epidemiology Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.

Aurélie Bardet (A)

Biostatistics and Epidemiology Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.

Céline Laurent (C)

Clinical Research Associate, Gustave Roussy, Paris-Saclay University, Villejuif, France.

Michel Ducreux (M)

Medical Oncology Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.

Sophie Laurent (S)

Supportive Care Unit, Interdisciplinary Cancer Course Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.

Christine Mateus (C)

Supportive Care Unit, Interdisciplinary Cancer Course Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.

Sarah Dauchy (S)

Supportive Care Unit, Interdisciplinary Cancer Course Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.

François Blot (F)

Intensive Care Unit, Gustave Roussy, Paris-Saclay University, Villejuif, France.

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Classifications MeSH