Effect of Discharge Training Program on Patient Outcomes Following Oncology Surgery

Document Type : Original Article

Authors

1 Assistant professor of Medical Surgical Nursing Menoufia University, Egypt and Assistant Professor Department of Nursing, College of Applied Medical Sciences, Jouf University, Sakākā, Jouf, Saudi Arabia

2 Assistant professor of Medical Surgical Nursing Menoufia University, Egypt

Abstract

Background: Preparing patients post oncology surgery to manage their care at home enhances patient safety, decreases the frequency of unnecessary emergency center visits and unplanned readmissions, and improves patient satisfaction Aim: Assess the effect of a structured discharge training program on patient outcomes following oncology surgery Methodology: Research design: A quasi experimental research design one group pre/posttest was utilized in November 2020 - March 2021. Setting: oncology hospital menofiya university hospital Subject: Convenience sample of patients exposed to oncology surgery (50 patients). Tools of data collection: Researcher used four tools as patient’s characteristics, functional assessment of cancer therapy- general, coping and adaptation processing scale and Rosenberg self-esteem scale Results: presented that 48%, 50%, 56%, and 46% of the participants had low physical, social, emotional, and functional well-being before the study intervention, respectively. Compared to 14%, 18%, 28%, and 16% after implementation of the discharge training program. The total high coping and adaptation processing before the discharge training program implementation was 20%, compared with 42% after the implementation with a highly statistically significant difference at p < /em> Conclusions: the discharge training program significantly improved and empowered the patients to have a greater sense of control over their illness, coping & adaptation, self-esteem and improve their quality of life. Recommendation: Replication of the study on a large sample and the different settings is recommended for generalization on large scale

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