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Abstract : The study aims to assess the challenges consist of (Long work hours, Nursing shortage and Technology) that facing nursing leaders who working in the governmental hospitals in Kurdistan region /Iraq and the correlation between the challenges with the sociodemographic characterstic. A quantitative design/a purposive sampling was conducted on a sample 55 nurses’ leader after taking their consent. data collection was performed in governmental hospitals in Kurdistan region. the study tool was conducted questionnaire with method of data collecting all leader nurses of each city separately, Interviewing at the beginning, Email communication, Self-report, By telephone. The study participants were the nurse’s leader working at the governmental hospitals in Kurdistan region (Sulaymaniyah, Erbil, Duhok and Halabja). There were 55 responses from a survey population of 55 (100% response rate). Considering the challenges faced by nursing leaders, it appears that the highest Mean ±SD was related to leader technology (4.11±0.76) with the minimum (2.76) and maximum (5.76) scores, followed by leaders' nursing shortage (3.96±0.76) with the minimum (1.92) and maximum (5.0) scores, while the lowest score was related to leader, long work hours scored mean (2.39) (Table 5). The correlations between sociodemographic characteristics and nurse leaders’ challenges, there was a negative and significant correlation between leaders' technology and years of experience in nursing (0.283), and leaders' technology has a negative but no significant correlation with other sociodemographic attributes. On the other hand, Simultaneously, long work hours and nursing shortage had no significant correlations with the number of nurses in the hospital (Table 6). About the sociodemographic characteristics of nursing leaders that the age group of the sample who were 36-45 years was predominant, and the majority of the participant were male. Regarding challenges, technology got the highest mean score that was the most important challenges for nursing leaders, then followed by nursing shortage while, the policy recorded the lowest mean score.