Effect of Psycho-Education Program on Quality of Life among Diabetic Patients during Covid-19

Abstract

Background:Diabetes is a common metabolic disease with debilitating consequences and a slow and steady course. This sickness both costs a lot of money and impairs the patient's quality of life. Hence, this studyaimed toassess the effect Assess the effect of psycho-education program on quality of life among diabetic patients during Covid-19Research design:a quasi-experimental (one-group pretest/posttest) research design was utilized to accomplish the study. The study was carried out inoutpatient clinic at King Khalid Hospital, Najran city, Saudi Arabia. The study included a convenience sample of 100 diabetic patients. Tools:Tools of data collection involved an Arabic-language self-administered questionnaireinclude; socio demographic characteristics, health history, knowledge, practice and quality life Results:detected that 48%, 44% and 50% of studied patients had low quality life at physical, mental and social domains respectively, while 58%, 64% and 60% of them had high quality life at physical, mental and social domains respectively. Meanwhile, 65%, 70% and 69% of them had high quality life at physical, mental and social domains respectively. Finally, 49% of studied patients had low quality life pre intervention, 59% had high at post intervention and 68% had high quality life at follow up Conclusion:Based on our current study, it was concluded that the psychoeducational program had positive effect on diabetic patients’ knowledge, practice and improve quality of life. Also, there was high positive correlation between patients’ knowledge and practice and quality life with p value <0.01**. Recommendation: Regular psycho education programs, particularly targeting patients with chronic disease, are essential for enhancing knowledge and maintaining self practices.  Continues updating and refreshing the diabetic patients’ knowledge and practice through workshops.Replication of the present study on a larger representative probability sample size in various governorates is recommended to achieve generalization of the results