International Journal of Community Medicine and Public Health

Nikhil B et al. Int J Community Med Public Health. 2026 Aug;13(8):4505-4510

https://www.ijcmph.com

pISSN 2394-6032 | eISSN 2394-6040

A descriptive comparative study to assess the quality of sleep and factors affecting quality of sleep in hospitalized patients admitted in wards and ICUs of tertiary care hospital, New Delhi

Nikhil B., Kamlesh Chandra Bairwa*


Department of Nursing Services, AIIMS, Rishikesh, Uttarakhand India

Received: 13 July 2026

Revised: 28 July 2026

Accepted: 29 July 2026

*Correspondence:

Kamlesh Chandra Bairwa,

E-mail: kamleshbairwa@gmail.com

Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

ABSTRACT

Background: A patient’s quality of sleep is significantly affected by various factors within hospital environment. Sleep quality in intensive care units (ICUs) often differs drastically from that in general wards, as the highly technical and fast-paced ICU environment present unique challenges to restful sleep.

Methods: This descriptive comparative study design used for inmates of selected wards and ICUs at Tertiary care hospital New Delhi. A convenience sample of 300 patients, 198 from general wards and 102 from intensive care units were selected. A questionnaire consists of a demographic data sheet, modified Pittsburgh sleep quality index for analysing the quality of sleep and a check list for identifying the factors affecting quality of sleep. Data were analysed using SPSS with level of significance set at p<0.05.

Results: 51% of patients (53.54 % in general wards and 46.08 % of ICUs) had good quality of sleep. “Staying away from home” (60.61% in general wards and 60.78% in ICUs) was the most reported problem that affects quality of sleep in both the groups of patients. All together 51% of patients had good sleep. The study also compared the quality of sleep of general wards and ICUs, but no significant difference was observed.

Conclusions: many patients have poor quality of sleep in the hospital environment. Both general wards and ICUs contains many factors that affects quality of sleep which should be controlled for a sleep friendly environment.

Keywords: General ward, ICU, Patient, Quality of sleep, Sleep

INTRODUCTION

Sleep is a fundamental necessity of an individual’s day to day life and it also has association with physical and psychological wellbeing.1 Sleep is a bodily function that helps in maintaining health, perception and stability of mood.2 Children requires more sleep-in comparison to adults per day for optimizing growth and development, up to 18 hours of sleep for new-born babies, which is declining as the child grows.3 Sleep has an important role in healing and recovery from illness.4 Sleep quality is considered as a major concept in the day-to-day clinical practices.5 Data from earlier studies shows poor quality of sleep in hospitalised patients.6,7 Many hospital inmates encounter insufficient sleep and this may affect recovery due to its after effects.8,9

A patient’s quality of sleep is significantly affected by various factors within hospital environment. Both actual and potential disturbances lead to sleep deprivation, which can prolong the time required for recovery. Furthermore, sleep quality in ICUs often differs drastically from that in general wards, as the highly technical and fast-paced ICU environment present unique challenges to restful sleep. Present study is assessing the sleep quality and factors affecting quality of sleep and compares quality of sleep-in patients admitted in general wards and ICUs, of a tertiary care hospital.

Statement of the problem

A study to assess the quality of sleep and factors affecting quality of sleep-in hospitalized patients

Objectives

To assess the quality of sleep-in patients admitted in general wards and ICUs. To assess the factors affecting quality of sleep-in patients admitted in general wards and ICUs. To compare the quality of sleep of patients admitted in general wards and ICUs. To correlate quality of sleep of patients admitted in general wards and ICUs with selected background variables.

METHODS

This descriptive comparative study design used for inmates of selected wards and ICUs at AIIMS, New Delhi. The study duration was of 6 months from June to December 2009 and 300 patients (198 patients from the general wards and 102 patients from intensive care units) selected using convenient sampling for selected patients and Random sampling was used for selecting the wards and intensive care units of Hospital. Patients who have been hospitalized for at least for one week, aged between 18 to 65 years, conscious and oriented to place and time, able to answer question including open ended questions and ready to take part were included. Exclusion criteria included critically ill, mental impairment, history of sleep disorders, current endotracheal or tracheostomy tube placement and use of sedatives or other centre nervous system stimulants or depressant.

Demographic profile tool consists of 12 items including socio-demographic and clinical information was used to collect data from subjects through interview, in consultation with experts.

Modified Pittsburgh sleep quality index tool prepared from Pittsburgh sleep quality index and permission for modification of the tool was obtained. Validity and Reliability of modified tool was established by experts. The tool had questions regarding the sleep of patient for the past one weak and from the answers of the question sleep quality was calculated. An extensive review of literature-based check list was developed including common factor affecting sleep of hospitalized patients.

The check list included 30 factors affecting the sleep quality and 31st option for any new factor which was expressed by patients. Content validity of the study tools was established by 5 experts (3 of them from nursing and 2 anaesthesiologists). There is 100% agreement between the experts. Some extraneous variables were added and the tools were modified as per suggestions given by the experts. Patient information sheet and consent form was developed. Ethical permission availed from the Institute Ethics Committee, eligible Patients were included as inclusion criteria of the study. A letter describing the purpose of the study was given to the subjects. Duly signed consent forms were obtained before participation in the study. Questionnaires were distributed to the patients who agreed to participate. Using the filled questionnaire sleep quality score was calculated and factors were identified. Data analysis was done using SPSS (version 21). Probability of the study accepted less than 0.05 of significance. Descriptive and inferential statistics (Chi square) was used to calculate and to obtained meaningful result.

RESULTS

Sociodemographic variable not showed any significant difference between groups in terms of age, Sex, religion, marital status and education; therefore the groups are comparable in terms of these variables. The table also shows the occupation, nature of work, length of hospitalization, type of treatment, diagnosis and presence of co morbidities have significant difference between groups, so the groups are not comparable in terms of these variables.

Table 2 depicted 53.54 % of general ward patients and 46.08% ICU patients had good sleep quality. Quality of sleep between ICU patients and general ward patients were not found any significant differences.

Table 3 depicts that awakening at night for treatment and checking vital signs” (41.41 % in general wards and 30.39 % in the ICUs) is the most reported hospital routines related factors affecting quality of sleep. that “Noise from other patients” (27.78%) in general wards and “Noise from monitors and other devices” (47.06%) in the ICU are the most reported noise related factors affecting quality of sleep.

Shows that “IV cannula” is the most reported external connection that affects quality of sleep in both general wards (26.77%) and ICUs (38.24%) patients. shows that “Staying away from home” (60.61% in general wards and (60.78% in ICUs) is the most reported psychological factors affecting quality of sleep. shows “Pain” (45.45%) in general wards and (60.78%) in ICUs is the most reported physiological factors affecting quality of sleep. highlights that among other factors “Light during night” (42.42% in general wards and 41.18 % in ICUs) was most reported factors responsible for poor sleep quality.

Quality of sleep in both groups between age groups, sexes. religions, marital status, occupation, education, nature of work, length of hospitalization, treatment in, medical and surgical patients not found any significant difference. In terms of presence of co-morbidities significant difference was observed at p<0.05 level in quality of sleep of patients in ICUs, but not observed in patients admitted in general wards.

It is concluded that 53.54 % of general ward patients and 46.08 % of ICU patient found to be good quality of sleep. All together 51% of patients had good sleep. “Staying away from home” (60.61% in general wards and 60.78% in the ICUs) was the most reported problem that affects sleep quality in both the category. Length of hospitalization was positively correlated to the sleep quality in both ICUs and general wards. Sleep quality had significant difference in ICUs in terms of presence of co morbidities, but it is not seen in general wards. Other variables showed no significant influence on sleep quality.

Table 1: Sample characteristics and other information of study samples (N=300).
Table reproduced from source PDF page 3
Table 2: Comparison of quality of sleep in patients admitted general wards and ICUs (N=300).
Table reproduced from source PDF page 3
Table 3: Factors affecting quality of sleep in patients admitted in general wards and ICUs (N=300).
Table reproduced from source PDF page 3, part 1 of 2
Table reproduced from source PDF page 4, part 2 of 2
Table 4: Correlation of sociodemographic variables with quality of sleep in patients admitted in general wards and ICUs (N=300).
Table reproduced from source PDF page 4, part 1 of 2
Table reproduced from source PDF page 5, part 2 of 2

DISCUSSION

The study duration was of 6 months; 300 subjects were included as per inclusion criteria of the study. In the total patients 198 patients were from the general wards and 102 were from ICUs. Demographic data of the patients were collected. Quality of sleep was assessed by modified Pittsburgh sleep quality index and the factors affecting sleep quality were assessed by a self-developed check list. Normal sound sleep in the hospital remains a challenge for most patients. Various factors physical, physiological and emotional factors affect sleep patterns of the patients in the hospital.

When we don’t sleep well, our bodies’ immune system and ability to heal wounds and other types of tissue damage is reduced. Patients, admitted in intensive care units (ICUs), are monitored continuously and urgency to woken up for therapeutic and diagnostic interventions during the night and at other times when they are sleeping. Total 300 patients completed the questionnaire and the data were statistically analysed. In present study 46.46% of general ward patients and 53.92% ICU patients had bad sleep quality. A study by Kuivainen et al found out that 65% of patents had bad sleep during their hospitalization.10

A study Dagon et al shows that female patients experienced worse sleep than male patients while in the hospital.11 There was no significant difference between the sleep quality of men and women in the wards or ICUs found out in the present study. Naik et al through cross sectional study found out sleep problem is highly prevalent in ICU patients.12

In a study conducted in hospitalized adult patients Frighetto et al found out that there is a relation between sleep effectiveness a length of hospitalization.13 The present study revealed that length of hospitalization is positively co-related to sleep quality which was contradictory to the common belief. Small sample size (300). Sapling method was convenient sampling. Study was limited to single setting.

CONCLUSION

Based on the scientific evidences it can be concluded that: Many patients in the hospital have bad sleep. Patient experience bad sleep in both ICUs and general wards. Both ICUs and wards environment contain certain factor that disturbs quality of sleep of patients.

Funding: No funding sources

Conflict of interest: None declared

Ethical approval: The study was approved by the Institutional Ethics Committee

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