Exploring the sleep experience of hospitalized adult patients.
ABSTRACT Interruptions in sleep for hospitalized patients have been correlated with decreases in immune function, changes in mental status, and increased stress levels. The purpose of this study was to explore patients' perceptions of their sleep experiences during hospitalization. Structured interviews were conducted with a convenience sample of patients who had spent three consecutive nights in the hospital. Data was analyzed by content analysis; three themes emerged from the data. The findings from this pilot study will lead to further research in nursing practice as it relates to supporting sleep and rest in hospitalized patients.
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ABSTRACT: Background Sleep is a dynamic and essential part of human life and health. In healthcare settings, nurses are strategically placed to promote sleep and sleep health. In this regard, nursing actions should be based upon effective methods of assessment of patient sleep. Standardised sleep assessment does not currently occur in the care of acute hospitalised patients. Use of an appropriate measurement tool would help evaluate inpatient sleep. An effective, efficient sleep assessment tool is needed to aid clinicians. Such assessment would provide specific nursing intervention to be tailored to individual patients. Objective The objective of this paper was to examine the literature on sleep measurement to identify subjective sleep assessment tools that may be suitable for routine use with hospitalised patients, and to evaluate their reliability and validity. Method A review of existing literature was undertaken to identify and evaluate subjective sleep measurement tools. Results The initial literature searches identified 402 articles, of which ten met the criteria for review. These reported on three subjective sleep measurement scales: the Richards-Campbell Sleep Questionnaire; the St Mary's Hospital Sleep Questionnaire; and the Verran Snyder-Halpern Sleep Scale. The Richards-Campbell Sleep Questionnaire is brief and easy to use. In specific samples, its items correlate with domains reflecting sleep quality and has shown excellent internal consistency. Equivocal results and scoring challenges were found with the St Mary's Hospital Sleep Questionnaire. The Verran Snyder-Halpern Sleep Scale captured sleep disturbance and total sleep time, but time-to-complete is more burdensome than the Richards-Campbell Sleep Questionnaire. Conclusions The current use of sleep assessment instruments in the acute hospital setting is restricted mainly to research activities. Of the three tools identified that could be used clinically to measure inpatient sleep, and although it was developed for use in the intensive care setting, the Richards-Campbell Sleep Questionnaire held greatest potential due to its ease and rapidity of use. However, it has yet to be validated for use with general hospital inpatients, and further research is required in this area.International journal of nursing studies 09/2014; DOI:10.1016/j.ijnurstu.2014.02.001 · 2.25 Impact Factor
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ABSTRACT: Hospital rooms may exacerbate or reduce patients' stress. According to Ulrich's (1991) theory of supportive design, the hospital environment will reduce stress if it fosters perceptions of control (PC), social support (SS), and positive distraction (PD). An experimental study was conducted to test this theory. Participants were asked to imagine a hospitalization scenario and were exposed to one of 8 lists of elements that the hospital room would provide selected to facilitate PC, SS, PD, or 1 of all the possible combinations of these elements. Results confirmed Ulrich's theory. Participants expected significantly less stress in the situations where all (or only PD and SS) elements were present. Meditational analyses confirmed that the number of elements in the hospital room affects expected stress through the perceptions of how much positive distraction and social support it is perceived to provide, but not through the perception of the level of perceived control available.Journal of Environmental Psychology 12/2014; 41:125-134. DOI:10.1016/j.jenvp.2014.12.001 · 2.40 Impact Factor