@article{ajnr20197417,
author={{Shawli, Afnan Seraj Jamal and Abdulmutalib, Iman Abdallah Mohammed and Nagshabandi, Elham Abduallah Al},
title={Fatigue and Self-management among Multiple Sclerosis Patients},
journal={American Journal of Nursing Research},
volume={7},
number={4},
pages={550--560},
year={2019},
url={http://pubs.sciepub.com/ajnr/7/4/17},
issn={2378-5586},
abstract={Fatigue is considered as the most revealed symptoms in multiple sclerosis patients, reported by 88% of patients and has significant impact on all stages of life such as altering in daily living activity or psychosocial/mental functions. The pathogenesis of fatigue remain poorly understood and how its impact on self-management. The aim of study was to assess fatigue and self management among multiple sclerosis patients.<b> </b>A quantitative descriptive correlational design was used in this study. The study was conducted at both<b> </b>King Abdulaziz University Hospital<b> </b>and King Fahad Armed Forces Hospitals in Jeddah City from January till March 2018, data collected from outpatients¡¯ clinic and Inpatients¡¯ medical-wards. A convenience sample<b> </b>of 50 Multiple Sclerosis patients. Data was collected through the main one tool, it consists of three parts; Part I, Socio-demographic and clinical data constructed by the researchers<b>. </b>Part §±, Modified Fatigue Impact scale; to assess the Impact of fatigue on physical, cognitive, and psychosocial functioning in patient with Multiple Sclerosis.<b>. </b>Part §±?, Multiple Sclerosis Self Management Scale Revised; to provide a multidimensional and psychometrically assessment of self-management knowledge and behavior among Multiple Sclerosis patients. The study results showed there was a statistically significant negative correlations between fatigue subscales and overall self-management among Multiple Sclerosis patients with p-value (.019). Also, there was a statistically significant negative correlations between self-management factor scales and overall fatigue among Multiple Sclerosis patients with p-value (.019). It was concluded that there was a negative correlations between overall fatigue and overall self-management among Multiple Sclerosis patients, whenever fatigue severity increases, self-management decreases. It was a recommendation to encourage governmental policy and other decision makers in the Saudi community to develop periodically structure health education training program regarding self-management in MS and provide appropriate environments or facilities to conduct such programs, where nurses play a key role through health education and cooperate with other health care system.},
doi={10.12691/ajnr-7-4-17}
publisher={Science and Education Publishing}
}