The Effect of Mobile Health Application on Posttraumatic Growth in Women Diagnosed With Breast Cancer

Overview

Breast cancer is the type of cancer that significantly affects women's health and causes the most mortal in women. Despite the high incidence of breast cancer, women living after breast cancer are increasing due to advances in early diagnosis and effective treatment options. Treatments are aimed at prolonging survival from breast cancer and enabling patients to live better. Women repeatedly experience many vital crises such as the diagnosis of cancer, the difficulties of the treatment process and the fear of recurrence in the post-treatment period. In the face of these crises, post-traumatic growth occurs when the individual's efforts to cope are transformed into positive psychological experiences. Positive experiences lead to improvement in women's life, while negative experiences make it difficult to cope and adapt. In order for post-traumatic growth to take place, women should be supported to cope with these negative emotions. The care given to patients during cancer treatment should be such as to support the change process that will help individuals adapt to the new lifestyle.This information and supportive care content should include the topics that women will need in the long term after the treatment, in addition to the diagnosis and treatment process. Generally, the education and counseling given to the patient at the last treatment appointment may be limited. Due to the long period from the last treatment appointment to the control appointment, patients cannot interact with healthcare professionals for a long time. Long-term side effects and needs of people may differ after breast cancer treatment. For this reason, the need for information and consultancy services of healthcare professionals continues in this process as well.Today, the use of remotely accessible mechanisms in the treatment of breast cancer and in the follow-up of women after treatment is increasing. It is thought that the mobile application to be developed within the scope of the project will increase the quality and efficiency of health services with an R\&D and innovative approach and make these services accessible to everyone through digital technologies. In addition, our study will set an example for nursing care to be presented in one of the priority areas of health, such as cancer, through digital technologies. In our study, it is aimed to evaluate the effect of mobile health application based on Mezirow's Transformational Learning Theory on post-traumatic development in women with breast cancer. The research is a single center, parallel group, stratified block randomized controlled experimental study. It is planned to be conducted with 56 (intervention: 28, control: 28) women at Gazi University Health Research and Practice Center. The training content to be included in the mobile application has been determined by considering the results of the studies in the literature and the recommendations of international guides to determine the problems experienced by women with breast cancer during the post-treatment period. After receiving expert opinions on the subject content, the development process of the mobile application will be started. In the implementation phase of the study, the women in the intervention group will start using the mobile application 1 week after completing the active treatment chemotherapy and radiotherapy) process.The implementation of the study will last 8 weeks. At the end of eight weeks, data collection tools will be applied to the women. The final tests will be repeated 4 weeks after the end of the application. Starting from this period, women in the control group who want to use the application will also be included in the mobile application system. After completing the data collection tools, the analysis and reporting part will be started. Statistical analyzes will be made using SPSS Package Program (IBM SPSS Statistics 27). Student t test, Pearson Chi-square test, Independent Sample t test, Mann Whitney U test, One-Way Analysis of Variance or Friedman test will be used in the analyses.