%0 Journal Article
%T Unmet needs in people with high-grade glioma: defining criteria for stepped care intervention.
%A Faris MM
%A Dhillon HM
%A Campbell R
%A Halkett GKB
%A Miller A
%A Chan RJ
%A Haydon HM
%A Sansom-Daly UM
%A Koh ES
%A Ownsworth T
%A Nowak AK
%A Kelly B
%A Leonard R
%A Pike KE
%A Legge DM
%A Pinkham MB
%A Agar MR
%A
%A Shaw J
%J JNCI Cancer Spectr
%V 8
%N 4
%D 2024 Jul 1
%M 38730547
暂无%R 10.1093/jncics/pkae034
%X BACKGROUND: We aimed to define levels of unmet supportive care needs in people with primary brain tumor and to reach expert consensus on feasibility of addressing patients' needs in clinical practice.
METHODS: We conducted secondary analysis of a prospective cohort study of people diagnosed with high-grade glioma (n = 116) who completed the Supportive Care Needs Survey-Short Form during adjuvant chemoradiation therapy. Participants were allocated to 1 of 3 categories: no need ("no need" for help on all items), low need ("low need" for help on at least 1 item, but no "moderate" or "high" need), or moderate/high need (at least 1 "moderate" or "high" need indicated). Clinical capacity to respond to the proportion of patients needing to be prioritized was assessed.
RESULTS: Overall, 13% (n = 5) were categorized as no need, 23% (n = 27) low need, and 64% (n = 74) moderate/high need. At least 1 moderate/high need was reported in the physical and daily living domain (42%) and the psychological (34%) domain. In recognition of health system capacity, the moderate/high need category was modified to distinguish between moderate need ("moderate" need indicated for at least 1 item but "high" need was not selected for any item) and high need (at least 1 "high" need indicated). Results revealed 24% (n = 28) moderate need and 40% (n = 46) high need. Those categorized as high need indicated needing assistance navigating the health system and information.
CONCLUSIONS: Using four step allocations resulted in 40% of patients indicating high need. Categories may facilitate appropriate triaging and guide stepped models of healthcare delivery.