Involvement in decision-making about treatment and ovarian cancer survivor quality of life

Abstract

PurposeThis study sought to better understand the long-term effects on women's health related quality of life (HRQOL) of involvement in decision-making about their surgical and chemotherapeutic treatments for ovarian cancer treatment and about follow-up care after treatment. MethodsUsing a cross-sectional survey design, a sample of 219 ovarian cancer patient/survivors from Western Washington who were between 3months and ten years post-diagnosis were recruited via a mailed survey sent by their gynecological oncologist and interviewed about their ovarian cancer treatment, use of Complementary and Alternative Medicine (CAM), Health related quality of life, and their involvement in decision-making about their cancer treatment and follow-up care. ResultsMultivariate regression analyses revealed age, but not stage of cancer to be a significant predictor of perceived involvement in decision-making about ovarian cancer treatment and follow-up. Age also predicted CAM use with older patients using herbal CAM, and younger patients using CAM activities and CAM providers (p<0.5). Controlling for demographic, disease, and treatment characteristics involvement in decision-making about surgery and follow-up care were associated with better mental health in survivorship (p<0.05). Involvement in decision-making about use of CAM and about lifestyle health changes was associated with greater vitality and better role-emotional health in survivorship (respectively; both; p<0.05). ConclusionsAs has been found in studies of breast cancer survivors, perceived involvement in decision-making about ovarian cancer treatment including surgery and follow-up care after treatment is associated with better quality of life for cancer survivors. Involvement in decision-making about the use of CAM and about changes in lifestyle health practices also appear to help survivor's emotional health related quality of life. Prospective studies are needed to determine the mechanisms by which perceived involvement in decision-making about treatment might influence survivor quality of life.