The SAKK cancer-specific geriatric assessment (C-SGA): a pilot study of a brief tool for clinical decision-making in older cancer patients


Autoria(s): Clough-Gorr, Kerri M; Noti, Lea; Brauchli, Peter; Cathomas, Richard; Fried, Marius R.; Roberts, Gillian; Stuck, Andreas; Hitz, Felicitas; Mey, Ulrich
Data(s)

23/08/2013

Resumo

BACKGROUND Recommendations from international task forces on geriatric assessment emphasize the need for research including validation of cancer-specific geriatric assessment (C-SGA) tools in oncological settings. The objective of this study was to evaluate the feasibility of the SAKK Cancer-Specific Geriatric Assessment (C-SGA) in clinical practice. METHODS A cross sectional study of cancer patients >=65 years old (N = 51) with pathologically confirmed cancer presenting for initiation of chemotherapy treatment (07/01/2009-03/31/2011) at two oncology departments in Swiss canton hospitals: Kantonsspital Graubunden (KSGR N = 25), Kantonsspital St. Gallen (KSSG N = 26). Data was collected using three instruments, the SAKK C-SGA plus physician and patient evaluation forms. The SAKK C-SGA includes six measures covering five geriatric assessment domains (comorbidity, function, psychosocial, nutrition, cognition) using a mix of medical record abstraction (MRA) and patient interview. Five individual domains and one overall SAKK C-SGA score were calculated and dichotomized as below/above literature-based cut-offs. The SAKK C-SGA was evaluated by: patient and physician estimated time to complete, ease of completing, and difficult or unanswered questions. RESULTS Time to complete the patient questionnaire was considered acceptable by almost all (>=96%) patients and physicians. Patients reported slightly shorter times to complete the questionnaire than physicians (17.33 +/- 7.34 vs. 20.59 +/- 6.53 minutes, p = 0.02). Both groups rated the patient questionnaire as easy/fairly easy to complete (91% vs. 84% respectively, p = 0.14) with few difficult or unanswered questions. The MRA took on average 8.32 +/- 4.72 minutes to complete. Physicians (100%) considered time to complete MRA acceptable, 96% rated it as easy/fairly easy to complete. Individual study site populations differed on health-related characteristics (excellent/good physician-rated general health KSGR 71% vs. KSSG 32%, p = 0.007). The overall mean C-SGA score was 2.4 +/- 1.12. Patients at KSGR had lower C-SGA scores (2.00 +/- 1.19 vs. 2.81 +/- 0.90, p = 0.009) and a smaller proportion (28% vs.65%, p = 0.008) was above the C-SGA cut-off score compared to KSSG. CONCLUSIONS These results suggest the SAKK C-SGA is a feasible practical tool for use in clinical practice. It demonstrated discriminative ability based on objective geriatric assessment measures, but additional investigations on use for clinical decision-making are warranted. The SAKK C-SGA also provides important usable domain information for intervention to optimize outcomes in older cancer patients.

Formato

application/pdf

Identificador

http://boris.unibe.ch/39306/1/Clough-Gorr%20BMCMedInformDecisMak%202013.pdf

Clough-Gorr, Kerri M; Noti, Lea; Brauchli, Peter; Cathomas, Richard; Fried, Marius R.; Roberts, Gillian; Stuck, Andreas; Hitz, Felicitas; Mey, Ulrich (2013). The SAKK cancer-specific geriatric assessment (C-SGA): a pilot study of a brief tool for clinical decision-making in older cancer patients. BMC medical informatics and decision making, 13(1), p. 93. London: BioMed Central 10.1186/1472-6947-13-93 <http://dx.doi.org/10.1186/1472-6947-13-93>

doi:10.7892/boris.39306

info:doi:10.1186/1472-6947-13-93

info:pmid:23971904

urn:issn:1472-6947

Idioma(s)

eng

Publicador

BioMed Central

Relação

http://boris.unibe.ch/39306/

Direitos

info:eu-repo/semantics/openAccess

Fonte

Clough-Gorr, Kerri M; Noti, Lea; Brauchli, Peter; Cathomas, Richard; Fried, Marius R.; Roberts, Gillian; Stuck, Andreas; Hitz, Felicitas; Mey, Ulrich (2013). The SAKK cancer-specific geriatric assessment (C-SGA): a pilot study of a brief tool for clinical decision-making in older cancer patients. BMC medical informatics and decision making, 13(1), p. 93. London: BioMed Central 10.1186/1472-6947-13-93 <http://dx.doi.org/10.1186/1472-6947-13-93>

Palavras-Chave #610 Medicine & health #360 Social problems & social services
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed