Disturbed sleep can affect personal wellbeing and impede the rehabilitation and recovery of older people from illness. This paper reports the findings of a pilot study which included examination of sleep quality and sleep patterns of older people in community hospital and nursing home settings. A marked proportion of older people reported sleeping well in nursing care settings, and those in nursing homes slept better than those in the community hospital. The main causes of sleep disturbance in both settings were: needing to go to the toilet, noise, pain, and discomfort; a similar pattern was seen across the different settings. No discernible difference was found in quality of sleep and whether patients felt rested or not between those patients on hypnotic medication and those who were not. The implications of the findings for practice and future research are discussed.
This paper examines the measurement of sleep in nursing care settings, within the context of a pilot study which aimed to assess the effect of therapeutic back massage by nurses on the quality and pattern of sleep in older people in nursing homes and a community hospital. Sleep is an important factor in effective recovery and rehabilitation from illness and for the quality of life of older people in care settings. Issues are raised concerning the measurement of the sleep of older people for the purposes of evaluation research. New instruments are introduced, some building on existing tools. The value of self-reported and observed sleep data are discussed. Issues of the feasibility and rigour of these instruments are examined and recommendations are made for their further refinement and use.
The assessment of emotional factors, in addition to other psychosocial factors, has been recommended as a means of identifying individuals with chronic pain who may not respond to certain pain treatments. Systematic reviews of the evidence regarding the prediction of responsiveness to a treatment called the spinal cord stimulator (SCS) have yielded inconclusive results. Emotional intelligence is a term which refers to the ability to identify and manage emotions in oneself and others and has been shown to be inversely associated with emotional distress and acute pain. This study aims to investigate the relationship between emotional intelligence, chronic pain, and the more established psychosocial factors usually used for SCS evaluations by clinical psychologists in medical settings. A sample of 112 patients with chronic pain on an acute hospital waiting list for SCS procedures in a pain medicine service were recruited. Psychological measures were completed including: a novel measure of emotional intelligence; usual measures of emotional distress and catastrophizing; and a numerical rating scale designed to assess pain intensity, pain-related distress, and interference. As predicted, findings revealed significant associations between most of the measures analyzed and current pain intensity. When entered into a simultaneous regression analysis, emotional intelligence scores remained the only significant predictor of current pain intensity. There are potential clinical, ethical, and organizational implications of emotional intelligence processes partially predicting pain in patients on a waiting list for a medical procedure. These results may offer new insight, understanding, and evaluation targets for clinical psychologists in the field of pain management.
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