Gail Garvey1, Vanessa L Beesley2,3, Monika Janda3,4, Peter K O'Rourke5, Vincent Y F He1, Anna L Hawkes3, Jacinta K Elston6, Adele C Green7,8, Joan Cunningham1, Patricia C Valery1. 1. Epidemiology and Health Systems Division, Menzies School of Health Research, Spring Hill, Queensland, Australia. 2. Gynaecological Cancers Group, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia. 3. School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia. 4. Institute of Health and Biomedical Innovation. 5. Statistics Unit, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia. 6. Faculty of Medicine, Health and Molecular Sciences, James Cook University, Brisbane, Queensland, Australia. 7. Cancer and Population Studies Group, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia. 8. Cancer Research UK Manchester Institute and University of Manchester, Manchester Academic Health Sciences Centre, Manchester, United Kingdom.
Abstract
BACKGROUND: There are significant disparities in cancer outcomes between Indigenous and non-Indigenous Australians. Identifying the unmet supportive care needs of Indigenous Australians with cancer is imperative to improve their cancer care. The purpose of the current study was to test the psychometric properties of a supportive cancer care needs assessment tool for Indigenous people (SCNAT-IP) with cancer. METHODS: The SCNAT-IP was administered to 248 Indigenous Australians diagnosed with a range of cancer types and stages, and who received treatment in 1 of 4 Queensland hospitals. All 39 items were assessed for ceiling and floor effects and were analyzed using exploratory factor analysis to determine construct validity. Identified factors were assessed for internal consistency and convergent validity to validated psychosocial tools. RESULTS: Exploratory factor analysis revealed a 4-factor structure (physical and psychological, hospital care, information and communication, and practical and cultural needs) explaining 51% of the variance. Internal consistency of the 4 subscales was good, with Cronbach alpha reliability coefficients ranging from .70 to .89. Convergent validity was supported by significant correlations between the SCNAT-IP with the National Comprehensive Cancer Network Distress Thermometer (correlation coefficient [r] = 0.60; P<.001) and the Cancer Worry Chart (r = 0.58; P<.001) and a moderately strong negative correlation with the Assessment of Quality of Life questionnaire (r = -0.56; P<.001). CONCLUSIONS: These data provide initial support for the SCNAT-IP, a measure of multiple supportive care needs domains specific to Indigenous Australian patients with cancer undergoing treatment.
BACKGROUND: There are significant disparities in cancer outcomes between Indigenous and non-Indigenous Australians. Identifying the unmet supportive care needs of Indigenous Australians with cancer is imperative to improve their cancer care. The purpose of the current study was to test the psychometric properties of a supportive cancer care needs assessment tool for Indigenous people (SCNAT-IP) with cancer. METHODS: The SCNAT-IP was administered to 248 Indigenous Australians diagnosed with a range of cancer types and stages, and who received treatment in 1 of 4 Queensland hospitals. All 39 items were assessed for ceiling and floor effects and were analyzed using exploratory factor analysis to determine construct validity. Identified factors were assessed for internal consistency and convergent validity to validated psychosocial tools. RESULTS: Exploratory factor analysis revealed a 4-factor structure (physical and psychological, hospital care, information and communication, and practical and cultural needs) explaining 51% of the variance. Internal consistency of the 4 subscales was good, with Cronbach alpha reliability coefficients ranging from .70 to .89. Convergent validity was supported by significant correlations between the SCNAT-IP with the National Comprehensive Cancer Network Distress Thermometer (correlation coefficient [r] = 0.60; P<.001) and the Cancer Worry Chart (r = 0.58; P<.001) and a moderately strong negative correlation with the Assessment of Quality of Life questionnaire (r = -0.56; P<.001). CONCLUSIONS: These data provide initial support for the SCNAT-IP, a measure of multiple supportive care needs domains specific to Indigenous Australian patients with cancer undergoing treatment.
Authors: G Garvey; B Thewes; V F Y He; E Davis; A Girgis; P C Valery; K Giam; A Hocking; J Jackson; V Jones; D Yip Journal: Support Care Cancer Date: 2015-05-24 Impact factor: 3.603
Authors: Patricia C Valery; Christina M Bernardes; Vanessa Beesley; Anna L Hawkes; Peter Baade; Gail Garvey Journal: Support Care Cancer Date: 2016-11-10 Impact factor: 3.603
Authors: Patricia C Valery; Elizabeth Powell; Neta Moses; Michael L Volk; Steven M McPhail; Paul J Clark; Jennifer Martin Journal: BMJ Open Date: 2015-04-08 Impact factor: 2.692
Authors: Patricia C Valery; Christina M Bernardes; Katherine A Stuart; Gunter F Hartel; Steven M McPhail; Richard Skoien; Tony Rahman; Paul J Clark; Leigh U Horsfall; Kelly L Hayward; Rohit Gupta; Elizabeth E Powell Journal: Patient Prefer Adherence Date: 2020-03-18 Impact factor: 2.711