الفهرس 
Effect of a developed evidence-based discharge protocol on organizational efficiency and patients’ satisfaction among cancer colon patients
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Abstract
Background: discharge planning, is an essential component of the hospital continuum of care and the patients{u2019} ability to continue healing and return to pre morbid functioning. Aim: The study was conducted in order to: Evaluate the effect of a developed discharge protocol on organizational efficiency and patient satisfaction among colorectal cancer patients. Setting: The current study was conducted in the National Cancer Institute which is affiliated to Cairo university hospitals. Design: A quasi-experimental research design was utilized. Sample: A convenient sample of adult male and female patients who had surgery for colorectal cancer who admitted to the fourth floor in NCI was included (96). Tools: Based on the literature review the following tools were constructed by the investigator to collect data pertinent to the study: I: Sociodemographic data sheet, II: Cancer colon patients’ satisfaction about discharge process consisted from: Continuity of care, Communication, Social support system, III: Institution efficiency tools consisted from: length of stay& cost and patients’ readmission. Results: the patients receiving the discharge protocol had higher patient satisfaction scores, lower length of stay, lower cost, and lower readmission rate within 30 day from discharge as compared to patients receiving traditional discharge process. Conclusion: patients who receiving the designed discharge protocol showed a relative improvement in their satisfaction than those who were exposed to the usual & traditional institute discharge processes. Also the study concluded that the institutional efficiency had been improved, this improvement was manifested in the shortened length of stay, decline in the cost and the decrement in the un planned readmission. Recommendations: replicating this study in varied patient populations and in different health care organizations with larger sample size