She aimed education current into detecting the relationship between self-compassion and symptoms of physical deformities in adolescents and differences depending on several demographic variables. The study sample consisted of (293) adolescents. The self-compassion scale was used to achieve the objectives of the study. (Neff, Bluth, et al., 2021) The External Appearance Anxiety Scale (Park, 2007) and external rejection sensitivity meter (Roberts et al., 2018). The results of the study indicated that the level of anxiety on the external appearance came with (...) an average degree, as the arithmetic average was (2.63), and that the level of self-compassion among adolescents with physical deformities was at an average level, where the arithmetic average was (3.26), and it was found that there is an influential relationship between self-compassion and sensitivity to rejection due to appearance, as the direct effects have reached 52.2%, and it is also found that sex has a negative impact that is statistically indicative of the relationship between self-compassion And sensitivity to rejection because of appearance, as it turns out that the level of education has a negative impact statistically significant between the relationship between self-compassion and sensitivity rejection because of appearance, and it is also found that weight has a negative effect is statistically significant on the relationship between self-compassion and sensitivity rejection because of appearance. The direct impact of self-compassion on sensitivity to rejection due to appearance reached 36.3%, and sex had a statistically significant adverse effect on the relationship between empathy and deformities. The academic level also has a statistically significant adverse impact on the relationship between self-compassion and distortions. (shrink)

This paper provides a critical review of economic outcome metrics used in healthcare value assessment, emphasizing the evolving landscape of resource allocation, patient-centered approaches, and standardization efforts. With healthcare costs rising globally, the efficient allocation of limited resources is essential. Metrics like Quality-Adjusted Life Years (QALYs), Disability-Adjusted Life Years (DALYs), Incremental Cost-Effectiveness Ratios (ICERs), and Cost-Benefit Analysis (CBA) are central to guiding funding decisions, influencing insurance coverage, and shaping treatment prioritization. Emerging trends, such as the integration of artificial intelligence (AI) (...) and big data, are enhancing the precision of these assessments, while patient-centered metrics underscore the importance of patient satisfaction and quality of life. Additionally, there is a growing push for the standardization of these metrics to create consistent frameworks across diverse health systems. This paper explores case studies, practical applications, and future directions to provide insights into how healthcare systems can adopt more effective, globally aligned economic assessments. (shrink)