PMID- 24579719 OWN - NLM STAT- MEDLINE DCOM- 20140922 LR - 20140303 IS - 1445-6354 (Electronic) IS - 1445-6354 (Linking) VI - 14 DP - 2014 TI - Hope of rural women caregivers of persons with advanced cancer: guilt, self-efficacy and mental health. PG - 2561 AB - INTRODUCTION: Caring for a person with advanced disease can have a detrimental impact on the quality of life of family caregivers. This is further compounded in rural areas that have few or no palliative care services. Hope has a positive influence on the quality of life of family caregivers of persons with advanced cancer but factors influencing hope specifically in rural women caregivers of persons with advanced cancer have not been examined. PURPOSE: The purpose of this study was to determine factors influencing the hope of rural women caring for persons with advanced cancer, by examining the relationship of hope with demographic variables, self-efficacy, guilt, and caregiver physical and mental health. METHODS: A cross-sectional prospective correlational design was used. Inclusion criteria for the study were: (a) female, (b) 18 years of age or older, (c) caring for a person diagnosed with advanced cancer, (d) home address with a rural postal code, and (e) English-speaking. Using a modified Dillman technique, surveys and an invitation to participate were mailed to 780 persons with advanced cancer living in rural areas using two western Canadian provincial cancer registries. A reminder card was sent 4 weeks later. The persons with advanced cancer were asked to give the survey to their primary caregiver to complete. Surveys included measures of hope (Herth Hope Index (HHI)), general self-efficacy (General Self-Efficacy Scale (GSES)), grief (Non Death Version Revised Grief Experience Inventory (NDRGEI)), mental and physical health (Short Form Health Survey Version 2 (SF-12v2)), and demographic data such as their relationship to the person for whom the caregiver was caring. Data were entered into the Statistical Package for the Social Sciences v19 (SPSS) and analyzed using generalized linear modeling. RESULTS: Significant factors (p