| Scientific title |
Assessment of Quality of Sleep and Daytime Sleepiness among Doctors and Nurses in Tertiary Care Hospitals in Bhutan: a cross-sectional study |
| Public title |
Assessment of Quality of Sleep and Daytime Sleepiness among Doctors and Nurses in Tertiary Care Hospitals in Bhutan: a cross-sectional study |
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| Background |
Poor sleep quality is known to have implications for both physical and mental health. Furthermore, amongst the healthcare workers it was associated with increased risk of medication errors, impaired cognitive functioning, lower job efficiency and reduced motivation. Healthcare workers are more vulnerable to poor sleep owing to shift work, extended hours and high stress. While the prevalence of poor sleep quality and excessive daytime sleepiness among healthcare workers had been studied in other countries, no prior study had been conducted in Bhutan. |
| Objectives |
Among doctors and nurses working at Tertiary Care Hospitals in Bhutan in 2026 to describe the,
1. Proportion of poor sleep quality using the Pittsburgh Sleep Quality Index (PSQI)
2. Proportion of daytime sleepiness using Epworth Sleepiness Scale ( EPSS)
3. Socio-demographic, work-related and lifestyle-related factors associated with poor sleep quality and excessive daytime sleepiness |
| Study Methods |
This is a cross-sectional study which will be conducted among doctors and nurses in Tertiary care hospitals in Bhutan. The questionnaire was developed using REDCap, involving prevalidated questionnaires Pittsburg sleep quality index (PSQI) and Epsworth sleepiness scale (EPSS) and sections on socio-demographic, work-related and lifestyle-related factors. The data will be analyzed using STATA (version 18.0, StataCorp LP, USA). Categorical values will be summarized using frequencies and percentages while continuous variables will be summarized using mean ± standard deviation or median. Association between socio-demographic factors, work related factors and lifestyle factors with outcomes (poor sleep quality and excessive daytime sleepiness) will be analyzed using logistic regression. Factors with p-value < 0.200 on univariable analysis will be included in the multivariable logistic regression. A p-value < 0.05 will be considered statistically significant. |
| Expected outcomes and use of results |
This study will generate the proportion of poor sleep quality and excessive daytime sleepiness among doctors and nurses working at Tertiary care hospitals in Bhutan and its associated socio-demographic, work related and lifestyle related factors. |
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| Keywords |
Sleep quality, healthcare workers, PSQI, EPSS |