PURPOSE: The purpose of this study was to explore educational needs for sexual health, to identify relations among educational needs for sexual health, depression and quality of life, and to identify the factors affecting quality of life in patients with prostate cancer aged > 40 years. METHODS: A sample of 78 patients was recruited from a university hospital in Seoul. A cross-sectional design was used in which participants completed the questionnaires to assess educational needs for sexual health, depression and quality of life. The data were analyzed using the t-test, ANOVA, correlation analysis and stepwise regression analysis. RESULTS: The quality of life of participants differed significantly by occupation status before and after diagnosis, stage at diagnosis, underlying disease, performance status, and in the Gleason sum score. Stepwise regression analysis of the data showed that depression, sexual interaction, Gleason sum score, and occupation since diagnosis were the statistically significant factors associated with quality of life of patients with prostate cancer. This regression model explained 55.1% of the quality of life. CONCLUSION: These results indicate that depression and sexual interaction had the greatest impact on quality of life in prostate cancer patients. In clinical practice, we recommend that healthcare professionals take the initiative to provide adequate and accurate information about sexual health to prostate cancer survivors.
Delivery of Health Care ; Depression* ; Diagnosis ; Humans ; Needs Assessment ; Occupations ; Prostate* ; Prostatic Neoplasms* ; Quality of Life* ; Reproductive Health* ; Seoul ; Survivors

PURPOSE: This study was designed to examine both actor and partner effects of perceived marital relationship on quality of life, as well as the mediating effect of holding back cancer-related concerns.METHODS: This was a cross-sectional study in an outpatient setting. Participants were 150 couples consisting of patients with lung cancer and their spouses. Perceived marital relationship, holding back cancer-related concerns, and quality of life were measured with self-report scales. Actor and partner effects on quality of life were analyzed using the actorepartner interdependence mediation model by using structural equation modeling.RESULTS: A couple's quality of life had a significant direct actor effect on the perceived marital relationship. However, the partner effect and the indirect effect of holding back cancer-related concerns on quality of life was not significant.CONCLUSION: When patients with lung cancer and their spouses perceived their marital relationship positively, they assessed their quality of life positively. They were also found to be less hesitant when talking about cancer-related concerns. However, holding back on talking concerns did not have a significant impact on the quality of life (of either oneself or the spouse). Therefore, nurses should first check how they perceive their marital relationship before encouraging communication between patients with lung cancer and their spouses. Nurses can assess these risk factors and intervene if needed, along their cancer trajectory.
Cross-Sectional Studies ; Family Characteristics ; Humans ; Lung Neoplasms ; Lung ; Marriage ; Negotiating ; Outpatients ; Quality of Life ; Risk Factors ; Spouses ; Weights and Measures

Purpose: We aimed to identify collaborative disaster governance through the demand and supply analysis of resources recognized by nurses during the COVID-19 pandemic. Methods: We used a descriptive study design with an online survey technique for data collection. The survey questions were developed based on focus group interviews with nurses responding to COVID-19 and expert validity testing. A 42-question online survey focusing on disaster governance was sent to nurses working in COVID-19 designated hospitals, public health offices, and schools. A total of 630 nurses participated in the survey. Demand and supply analysis was used to identify the specific components of disaster governance during a pandemic situation and analyze priority areas in disaster governance, as reported by nurses. Results: Demand and supply analysis showed that supplies procurement, cooperation, education, and environment factors clustered in the high demand and supply quadrant while labor condition, advocacy, emotional support, and workload adjustment factors clustered in the high demand but low supply quadrant, indicating a strong need in those areas of disaster governance among nurses. The nurses practicing at the public health offices and schools showed major components of disaster governance plotted in the second quadrant, indicating weak collaborative disaster governance. Conclusion These findings show that there is an unbalanced distribution among nurses, resulting in major challenges in collaborative disaster governance during COVID-19. In the future and current pandemic, collaborative disaster governance, through improved distribution, will be useful for helping nurses to access more required resources and achieve effective pandemic response.