PurposeTo describe the association between major complications of immobility (pressure ulcer, pneumonia, deep vein thrombosis and urinary tract infection) during hospitalization and the patients’ health-related quality of life after discharge.MethodsThe data were obtained from a multi-center study conducted in 2015. Complications of immobility during hospitalization was measured by case report form and quality of life after discharge was measured using the EQ-5D scale by telephone interview. Multilevel mixed-effects models were used to explore the association of complications and responses in the EQ-5D dimensions after controlling for important covariates.ResultsAmong the 20,515 bedridden patients, 2,601(12.72%) patients experienced at least one of the major complications of immobility during hospitalization, including pressure ulcer (527, 2.57%), deep vein thrombosis (343, 1.67%), pneumonia (1647, 8.16%), and urinary tract infection (265, 1.29%). Patients with any of the four complications during hospitalization reported more problems in all EQ-5D dimensions except for pain/discomfort, and had lower mean EQ-VAS scores than those without any complications. The four complications all showed significant associations with the proportion of reported problems in certain dimensions after adjustment for confounding variables.ConclusionsMajor complications of immobility were significantly associated with reduced health related quality of life. Prevention of complications is critical to reduce the burden of decreased quality of life for bedridden patients.
The aim of this study was to assess the prevalence, incidence, and the associated factors of pressure injuries (PIs) among immobile hospitalised patients in China. Being immobile during hospitalisation put these patients at a higher risk of PIs. There is little literature about pressure injury (PI) prevalence or PI incidence in immobile hospitalised patients in hospitals in China. This was a multicentre, cross‐sectional, exploratory descriptive study. A total of 23 985 immobile patients were recruited from 25 general hospitals in six provinces of China from November 1, 2015 to March 18, 2016. Information was collected on demographic characteristics, physical assessment information, and treatment and nursing care measures. The PI period prevalence was 3.38%, and the PI cumulative incidence was 1.23%. Most PIs (84.03%) were Stage 1 or Stage 2. A total of 48.22% of PIs occurred in the sacrum or heel region. In the multivariate analysis, the following factors were associated with higher PI prevalence: age, gender, length of immobility, type of hospital, modified Braden Scale score, urinary incontinence, faecal incontinence, low serum albumin, the usage of fixation or restraint devices, and patient's discharge diagnosis (lower limb fracture, malnutrition, and spinal cord injury). PI prevalence for immobile hospitalised patients in the study was lower than those reported in literature. However, because of the large population in China, the number of patients who suffer with PIs can be very high. The relating factors of higher PI prevalence identified in this study were consistent with current literature. Patients with a higher number of these associated factors should be monitored more closely, and preventative measures should be taken to prevent PI occurrence in high‐risk populations.
SUMMARYThis paper focuses on the graphical tuning method of fractional order proportional integral derivative (FOPID) controllers for fractional order uncertain system achieving robust D-stability. Firstly, general result is presented to check the robust D-stability of the linear fractional order interval polynomial. Then some alternative algorithms and results are proposed to reduce the computational effort of the general result. Secondly, a general graphical tuning method together with some computational efficient algorithms are proposed to determine the complete set of FOPID controllers that provides D-stability for interval fractional order plant. These methods will combine the results for fractional order parametric robust control with the method of FOPID D-stabilization for a fixed plant. At last, two important extensions will be given to the proposed graphical tuning methods: determine the D-stabilizing region for fractional order systems with two kinds of more general and complex uncertainty structures: multi-linear interval uncertainty and mixed-type uncertainties. Numerical examples are followed to illustrate the effectiveness of the method.
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