Sleep quality and predictors of sleep disturbances among adult patients admitted in a selected hospital, Mangaluru.

Abstract

Sleep has an important role in maintaining health. Being active and energetic inversely related to the
quality of sleep. We can say that sleep is an important parameter to measure health and vitality. Sleep
disturbance is common among patients admitted in the hospital. A new place, new people, pain and
various amounts of discomfort, fear, hospital routines and many more parameters can disturb the sleep of
those patients admitted in the hospital. The patients admitted in the general wards get almost no choice to
postpone their bedside procedures to their preferred time. Somewhere over the line, we need to realize the
predictors of sleep disturbance in the hospital environment and take measures to tackle those factors. We
need to look at those situations at the patient’s point of view and implement changes in our routines.
Though nurses write sleep status of each patient at night, their assessment on sleep quality is not
measured with any standard tools. This study would help to implement such strategies to take specific
actions on those factors which cause sleep deprivation. Objective of the study: The aim of this study is
to assess the quality of sleep and to identify the predictors of sleep disturbance among hospitalized
patients. Methods and materials:A descriptive survey designwas used for this study. The sample
consists of 60 adult patients admitted in the medical wards of a selected medical hospital. The subjects
were selected by using purposive sampling technique.The tool has been prepared by the investigators
keeping in mind those concepts presented by the U.S.National sleep foundation on the quality of
sleep. The data were obtained by sleep quality index and using a five- point rating scale to assess the
predictors of sleep disturbances. Results: Out of total patients 48.3% of them had fair sleep during
hospitalization and 30% of them had poor sleep and only 21.7% of them had good sleep. Most of the
sleep distracters (78.3%) found to be at low level, 20% of the sleep distracters were present in moderate
level and 1% in high level. Conclusion: The present study shows that many patients do have sleep
deprivation due to a wide variety of factors. This shows that health personnel need to be extra conscious
and cautious in planning the activities for their patients and minimize distractions.