Design and Evaluation of Self-Compassion Scale in Iranian Patients with Multiple Sclerosis

سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 182

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شناسه ملی سند علمی:

JR_HEHP-10-4_025

تاریخ نمایه سازی: 10 اردیبهشت 1402

چکیده مقاله:

Aims: How people react to stressful and painful situations, such as suffering from a chronic disease like multiple sclerosis, is influenced by various factors, one of which is self-compassion. Self-compassion has a psychological nature and significant efficiency in the care and treatment of chronic patients. Existing tools have not paid attention to the characteristics of people suffering from chronic diseases such as MS in using self-compassion for managing the disease. Therefore, the present study aimed to design a questionnaire to measure self-compassion in patients with MS. Instrument & Methods: The present study is methodological research that was conducted in qualitative and quantitative parts. The items were designed based on the qualitative part of the study and review of texts. The validation characteristics of the questionnaire were performed using face validity, content, and structure. The reliability was assessed by internal consistency and stability methods. Findings: In the qualitative phase, ۷۸ initial items were extracted. After calculating the item impact score index with values higher than ۱.۵, content validity ratio higher than ۰.۵۱, and content validity index higher than ۰.۷۹, ۷۳ items were selected. Confirmatory and then exploratory factor analysis was performed. The internal consistency of the questionnaire was ۰.۸۱۳, and the stability of the questionnaire was ۰.۷۷۸. Conclusion: Self-compassion scale in patients with MS is a valid and reliable tool in Iranian society. Since Neff theory was used as a guiding framework in this study, the tool can also be used for non-Iranian patients to understand their perception and experiences.

نویسندگان

H. Dahmardeh

Department of Nursing, Faculty of Medical Sciences, Zahedan University of Medical Sciences, Zahedan, Iran

A. Sadooghiasl

Department of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran

E. Mohammadi

Department of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran

A. Kazemnejad

Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran

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