Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors

• Published in: Supportive care in cancer 2022-06, Vol.30 (6), p.5299-5309
• Main Authors: White, Victoria M., Lisy, Karolina, Ward, Andrew, Ristevski, Eli, Clode, Melanie, Webber, Kate, Emery, Jon, Ijzerman, Maarten J., Afshar, Nina, Millar, Jeremy, Gibbs, Peter, Evans, Sue, Jefford, Michael
• Format: Article
• Language: English
• Subjects: Aged; Analysis; Australia - epidemiology; Breast cancer; Cancer; Cancer Survivors; Colorectal cancer; Comorbidity; Cross-Sectional Studies; Employment; Health disparities; Humans; Lymphoma; Male; Mediation; Medicine; Medicine & Public Health; Melanoma; Mental health; Non-Hodgkin's lymphomas; Nursing; Nursing Research; Oncology; Original; Original Article; Pain Medicine; Prostate cancer; Quality of Life; Rehabilitation Medicine; Surveys; Surveys and Questionnaires; Survivor
• ISSN: 0941-4355; 1433-7339
• DOI: 10.1007/s00520-022-06914-w

Purpose To examine how socio-demographic, comorbidities and information needs influence quality of life (QoL) outcomes of survivors of breast, colorectal, or prostate cancer, non-Hodgkin lymphoma or melanoma. Methods Cross-sectional postal survey with eligible participants identified through a population-based cancer registry. QoL outcomes were assessed by EQ-5D-5L, social difficulties index (SDI) and, for those employed at diagnosis, current employment. Regression analyses explored associations between outcome variables and cancer type, age, time since diagnosis, residential location, socio-economic disadvantage, comorbidities and unmet information needs. Mediation analyses examined whether comorbidities and information needs explained relationships between outcome variables and socio-economic disadvantage. Results 2115 survivors participated. Mean EQ-5D-5L scores (mean = 0.84) were similar to population averages and SDI scores were low for the entire sample (mean = 3.80). In multivariate analyses, being aged over 80, greater socio-economic disadvantage, comorbidities and unmet information needs decreased EQ-5D-5L scores. Higher SDI scores were associated with socio-economic disadvantage, comorbidities and unmet information needs. Not being employed was associated with being aged over 50, more comorbidities and socio-economic disadvantage. Comorbidities but not information needs partially mediated the impact of socio-economic disadvantage on EQ-5D-5L and SDI accounting for 17% and 14% of the total effect of socio-economic disadvantage respectively. Neither comorbidities nor information needs mediated the association between socio-economic disadvantage and employment outcomes. Conclusions To improve quality of life, survivorship care should be better tailored to address the needs of individuals given their overall health and impact of comorbidities, their age and type of cancer and not simply time since diagnosis.