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Background & Aim: Because of the importance of empathy and positive impact on the relationship between patients and health care providers, as well as the lack of valid instrument to assess student's empathy in health domain, this study aimed to examine the factor structure and reliability of the Persian version of JSE-HPS in the students of the School of Nursing and Midwifery, Mashhad University of Medical Sciences in Iran.

Methods & Materials: In this cross-sectional study, 398 nursing and midwifery students of Mashhad University of Medical Sciences were selected using stratified random sampling. The data collection instrument was JSE-HP. The confirmatory factor analysis was used to investigate the factor structure of the instrument, and the Cronbach's alpha coefficient was applied to examine its reliability. The data analysis was done using LISREL version 8.8 and SPSS version 20.

Results: The results of the confirmatory factor analysis model showed given that fitness model parameters, including CFI, GFI, AGFI and NFI were approximately 1 and RMSEA index was less than 0.1, the fitness of three-factor model is appropriate. The Cronbach's alpha coefficient for the total instrument was 0.63.

Conclusion: The current study confirmed the three-factor structure of the Persian version of JSE-HPS (20 items), included perspective taking, compassionate care and standing in patient’s shoes. Thus, this instrument is appropriate to measure empathy for patient in the health service provider students.

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Background & Aim: Sleep disturbances in type II diabetes patients due to insulin resistance is a risk factor for the exacerbation of the disease. Therefore, assessment of the factors affecting the improvement of sleep in diabetic patients is a necessity for health care providers. The aim of this study was to investigate the relationship between sleep quality and self-management in type 2 diabetes patients.
Methods & Materials: This is a descriptive, cross-sectional study. A total number of 170 patients with type 2 diabetes referred to the medical centers affiliated to Qazvin University of Medical Sciences were included using the convenience sampling method in 2018-2019. Data were collected by the Richards-Campbell Sleep Questionnaire (RCSQ) and the Diabetes Self-management Questionnaire (DSMQ). Data were analyzed by the SPSS software version 21 using the descriptive/analytical statistics.
Results: The results showed that the mean score of sleep quality was 49.89±25.90 (range: 0-100) and mean score of self-management was 31.82±6.80 (range: 0-48). The results from the Pearson correlation analysis showed a significant relationship between sleep quality and self-management (P<0.05). Also, the stepwise linear regression model showed that the use of health care systems and physical activity and other variables such as marital status and weight of patients had a significant effect on their sleep quality (P<0.05).
Conclusion: The results of the study showed that an increase in the patients’ self-care status, use of health care systems, increased daily physical activity and having an ideal weight can be predictors in improving patients' sleep quality. Therefore, providing infrastructure programs such as continuing education and providing appropriate care programs for diabetics to improve self-management activities, as well as increasing daily physical activity, increasing the use of health systems, and weight control can improve the sleep quality of this group of patients who account for a significant proportion of chronic diseases in communities.