A new method of physical activity monitoring is presented, which is able to detect body postures (sitting, standing, and lying) and periods of walking in elderly persons using only one kinematic sensor attached to the chest. The wavelet transform, in conjunction with a simple kinematics model, was used to detect different postural transitions (PTs) and walking periods during daily physical activity. To evaluate the system, three studies were performed. The method was first tested on 11 community-dwelling elderly subjects in a gait laboratory where an optical motion system (Vicon) was used as a reference system. In the second study, the system was tested for classifying PTs (i.e., lying-to-sitting, sitting-to-lying, and turning the body in bed) in 24 hospitalized elderly persons. Finally, in a third study monitoring was performed on nine elderly persons for 45-60 min during their daily physical activity. Moreover, the possibility-to-perform long-term monitoring over 12 h has been shown. The first study revealed a close concordance between the ambulatory and reference systems. Overall, subjects performed 349 PTs during this study. Compared with the reference system, the ambulatory system had an overall sensitivity of 99% for detection of the different PTs. Sensitivities and specificities were 93% and 82% in sit-to-stand, and 82% and 94% in stand-to-sit, respectively. In both first and second studies, the ambulatory system also showed a very high accuracy (> 99%) in identifying the 62 transfers or rolling out of bed, as well as 144 different posture changes to the back, ventral, right and left sides. Relatively high sensitivity (> 90%) was obtained for the classification of usual physical activities in the third study in comparison with visual observation. Sensitivities and specificities were, respectively, 90.2% and 93.4% in sitting, 92.2% and 92.1% in "standing + walking," and, finally, 98.4% and 99.7% in lying. Overall detection errors (as percent of range) were 3.9% for "standing + walking," 4.1% for sitting, and 0.3% for lying. Finally, overall symmetric mean average errors were 12% for "standing + walking," 8.2% for sitting, and 1.3% for lying.

A new method of evaluating the characteristics of postural transition (PT) and their correlation with falling risk in elderly people is described. The time of sit-to-stand and stand-to-sit transitions and their duration were measured using a miniature gyroscope attached to the chest and a portable recorder placed on the waist. Based on a simple model and the discrete wavelet transform, three parameters related to the PT were measured, namely, the average and standard deviation of transition duration and the occurrence of abnormal successive transitions (number of attempts to have a successful transition). The comparison between two groups of elderly subjects (with high and low fall-risk) showed that the computed parameters were significantly correlated with the falling risk as determined by the record of falls during the previous year, balance and gait disorders (Tinetti score), visual disorders, and cognitive and depressive disorders (p < 0.01). In this study, the wavelet transform has provided a powerful technique for enhancing the pattern of PT, which was mainly concentrated into the frequency range of 0.04-0.68 Hz. The system is especially adapted for long-term ambulatory monitoring of elderly people

Lower limb mobility tests performed in an acute care hospital setting are predictive of future falls, inability to leave home, and/or need for nursing home care.

Although evaluation scales for quality of life (QOL) represent considerable progress in medicine, clinical experience shows striking discrepancies between QOL as evaluated by caregivers and QOL from the patient's point of view. Such paradoxes of QOL are analyzed and discussed. Autonomy is universally advocated but may be denied, especially in the hospital setting, where caregivers, family members, and doctors act as a pressure group. Circumstances that deepen the contradictions in QOL assessment include (a) a high degree of patient dependence, (b) a professional judgement that a patient is incompetent (c) professional values being placed over a patient's values, (d) a multidisciplinary team acting as a pressure group, (e) a lack of effective communication with the patient, and (f) a determination to minimize the symptoms at evaluation. QOL is multidimensional, complex, difficult to measure in clinical practice, and sometimes paradoxical.

Does communication with terminal cancer patients about their disease influence their psychological well-being? The degree of patient-carer consensus about the disease was compared to psychological well-being related to acceptance of the disease, emotional state, and hope. These were evaluated and scored from 6 (good) to 0 (poor) through a semi-structured interview of 10 open-ended questions. Nineteen palliative care patients were studied, 18 of whom were suffering from advanced cancer. Overall, 57 interviews were conducted with the patients, staff nurses, and medical doctors. The answers of the carers (staff nurses and doctors) were compared to the patients’ answers to determine the degree of consensus in terms of communication about disease, aim of treatment, and ultimate objective of hospitalization. The consensus between patients and carers was scored from 6 (satisfactory) to 0 (unsatisfactory). A significant positive correlation between the scores of consensus and those of psychological well-being ( r=0.90, p<0.001) was found. These results suggest that good and truthful communication may improve patients’ psychological well-being.