%0 Systematic Review
%T Prevalence of unmet supportive care needs reported by individuals ever diagnosed with cancer in Australia: a systematic review to support service prioritisation.
%A Roseleur J
%A Edney LC
%A Jung J
%A Karnon J
%J Support Care Cancer
%V 31
%N 12
%D 2023 Nov 7
%M 37934313
%F 3.359
%R 10.1007/s00520-023-08146-y
%X <B>OBJECTIVE: </B>Improved health outcomes for individuals ever diagnosed with cancer require comprehensive, coordinated care that addresses their supportive care needs. Implementing interventions to address these is confounded by a lack of evidence on population needs and a large pool of potential interventions. This systematic review estimates the point prevalence of different supportive care needs stratified by the tool used to measure needs and cancer type in Australia.<BR><B>METHODS: </B>We searched MEDLINE, Embase, and Scopus from 2010 to April 2023 to identify relevant studies published on the prevalence of supportive care needs in Australia.<BR><B>RESULTS: </B>We identified 35 studies that met the inclusion criteria. The highest prevalent unmet need across all cancers was 'fear of cancer spreading' (20.7%) from the Supportive Care Needs Survey Short-Form 34 (SCNS-SF34), ranging from 9.4% for individuals ever diagnosed with haematological cancer to 36.3% for individuals ever diagnosed with gynaecological cancer, and 'concerns about cancer coming back' (17.9%) from the Cancer Survivors' Unmet Needs (CaSUN), ranging from 9.7% for individuals ever diagnosed with prostate cancer to 37.8% for individuals ever diagnosed with breast cancer. Two studies assessed needs in Aboriginal and Torres Strait Islander populations, reporting the highest needs for financial worries (21.1%).<BR><B>CONCLUSIONS: </B>Point prevalence estimates presented here, combined with estimates of the costs and effects of potential interventions, can be used within economic evaluations to inform evidence-based local service provision to address the supportive care needs of individuals ever diagnosed with cancer.<BR><B>CONCLUSIONS: </B>Local health services can use local evidence to prioritise the implementation of interventions targeted at unmet needs.