Sleep is a vital component of patient recovery; however, it is often disrupted in hospital settings due to environmental and clinical factors. This study aimed to assess sleep quality and identify factors affecting sleep among hospitalized patients in medical-surgical units. A cross-sectional descriptive study was conducted among 550 patients using a structured questionnaire and the Pittsburgh Sleep Quality Index (PSQI) to evaluate sleep quality. Data were analyzed using descriptive and inferential statistics, including chi-square test and logistic regression analysis.

The results revealed that 63.6% of patients experienced poor sleep quality. Environmental factors such as noise (68.9%), nursing interruptions (62.5%), and lighting disturbances (56.7%) were the most reported contributors to sleep disruption. Significant associations were found between these factors and sleep quality (p < 0.05). Logistic regression analysis identified noise, interruptions, and comorbidities as significant predictors of poor sleep.