38 research outputs found

    Quantifying beliefs regarding telehealth: Development of the Whole Systems Demonstrator Service User Technology Acceptability Questionnaire

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    Introduction: Telehealth (TH) is a potential solution to the increased incidence of chronic illness in an ageing population. The extent to which older people and users with chronic conditions accept and adhere to using assistive technologies is a potential barrier to mainstreaming the service. This study reports the development and validation of the Whole Systems Demonstrator (WSD) Service User Technology Acceptability Questionnaire (SUTAQ). / Methods: Questionnaires measuring the acceptability of TH, quality of life, well-being and psychological processes were completed by 478 users of TH. The 22 acceptability items were subject to principal components analysis (PCA) to determine sub-scales. Scale scores, relationships between scales and other patient-reported outcome measures (PROMs), and group differences on scales were utilised to check the reliability and validity of the measure. / Results: PCAs of SUTAQ items produced six TH acceptability scales: enhanced care, increased accessibility, privacy and discomfort, care personnel concerns, kit as substitution and satisfaction. Significant correlations within these beliefs and between these scales and additional PROMs were coherent, and the SUTAQ sub-scales were able to predict those more likely to refuse TH. / Discussion: The SUTAQ is an instrument that can be used to measure user beliefs about the acceptability of TH, and has the ability to discriminate between groups and predict individual differences in beliefs and behaviour. Measuring acceptability beliefs of TH users can provide valuable information to direct and target provision of services to increase uptake and maintain use of TH

    Red cell distribution width correlates with fatigue levels in a diverse group of patients with systemic lupus erythematosus irrespective of anaemia status

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    Objectives: Fatigue remains a debilitating feature of systemic lupus erythematosus (SLE). Although in some cases this may be the result of intercurrent fibromyalgia, mood disorder or untreated metabolic syndrome, in many cases the cause is unclear. The aim of this study was to investigate the relationship between fatigue and red cell distribution width (RDW), a measure of variability in erythrocyte size and volume. Method: A total of 225 patients were recruited from three clinics in England and Australia. Patients completed the Functional Assessment of Chronic Illness Therapy (FACIT) Fatigue Score or 12-item Short Form survey (SF-12) to measure fatigue, which was compared with RDW and haemoglobin. In a subgroup of 72 patients, markers of disease activity were also assessed for correlation with fatigue using univariate and multivariate analysis with fatigue as the dependent variable. Results: In all three groups, significant correlations between fatigue and RDW were observed (p<0.001; p=0.02; p<0.001 respectively) and this was preserved in multivariate analysis. There was no correlation between fatigue and haemoglobin in two groups (with the correlation between RDW and fatigue remaining significant in non-anaemic patients in the third group). In subgroup analysis, fatigue was not associated with any measures of disease activity. Conclusions: We report a reproducible, statistically significant association between RDW and fatigue levels in a diverse population of patients with SLE. The findings of this study raise the possibility of a potential novel biological basis for fatigue in those in whom there is a lack of an alternate explanation

    Uncertainty in Systemic Lupus Erythematosus (SLE) and Rheumatoid Arthritis (RA): Development and Validation of a New Patient Reported Instrument

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    Background: Patient uncertainty is considered to be an inherent part of the illness experience, and particularly relevant in unpredictable conditions; however, it has not been thoroughly investigated in systemic lupus erythematosus (SLE) or rheumatoid arthritis (RA) and no appropriate instrument is available for its quantification. This thesis presents mixed-method studies aiming to address this gap in the literature. Phase-1: Qualitative interviews with 32 patients and 8 health care professionals were conducted in order to conceptualise patient uncertainty in SLE and RA. These findings were used to develop a new self-report instrument for patient uncertainty. Items of the new instrument were qualitatively tested through cognitive debriefing interviews. Phase-2: A field test was set up to evaluate and revise the newly developed instrument psychometrically, using the modern technique of Rasch analysis in a sample of 388 patients. The instrument was subsequently evaluated using traditional psychometrics tests. Phase-3 (part-1): A second field test was set up to evaluate the psychometric properties of the second draft of the new instrument using a combination of modern and traditional psychometric techniques in an independent sample of 279 patients. The final draft of the instrument consisted of five scales; symptoms and flares, medication, trust in doctor, self-management and impact. Phase-3 (part-2): The construct validity of the new instrument, as well as the contribution of the five patient uncertainty scales to SLE and RA patient outcomes, including treatment adherence, mood and health related quality of life, were explored. Statistical tests, including correlational analyses and multiple linear regressions, were used for this exploration. Conclusions: This thesis offers a conceptual framework and a self-report instrument for the assessment of patient uncertainty in SLE and RA. The findings offer implications for the role of patient uncertainty in these conditions and demonstrate the importance of comprehensive methodology in assessing such constructs

    Non-contact ultrasonic measurements of the elastic constants of magnetic materials

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    Ultrasonic testing using contacting transducers such as quartz or PZT is well established. However, standard measurement techniques used require physical contact of the sample and ultrasonic transducer and some sort of couplant between the two. With this configuration there is a possibility of damaging the sample, transducer or bond during testing, thermal cycling, or removal of the transducer. We present results taken using recent advances in non-contact methods of ultrasound generation and detection using electromagnetic acoustic transducers (EMATs), which offer some significant benefits over contact ultrasonic techniques. Circumventing the need for couplant removes the possibility of contaminating the system, which is an issue for some material property measurements, and allows easier measurements over a wider range of temperatures. An automated data analysis system has been developed which allows the velocity of sound in the sample, and hence the elastic constants, to be determined to a high accuracy. This technique is illustrated using measurements of the alloy Gd(64)Sc(36)

    A maximally sensitive clinical decision rule to reduce the need for radiography in mandibular trauma.

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    INTRODUCTION: To identify clinical symptoms and signs that exclude the presence of mandibular fracture in patients presenting with mandibular trauma and thus devise a clinical decision rule that will rule out the need for radiography in some patients. PATIENTS AND METHODS: A prospective study was conducted of consecutive patients with a possible diagnosis of mandibular fracture who attended a city-centre emergency department between July 2000 and December 2001. Clinical symptoms and signs were recorded for each patient using a predesigned proforma. Radiographic evaluation of a suspected mandibular fracture consisted of lateral-oblique and postero-anterior mandibular views. The presence of a fracture was based on the interpretation of the X-rays by a radiologist who was blinded to the clinical probability of a fracture. Data were initially analysed using the chi-square test. Recursive partitioning was then performed to create a maximally sensitive decision tree. RESULTS: 280 patients were included in the study, 65 of whom had a mandibular fracture. A maximally sensitive decision rule was found that identified 5 parameters (malocclusion, trismus, broken teeth, pain with mouth closed, step deformity) whose absence excluded mandibular fracture. This rule has a sensitivity of 100% and specificity of 39% in identifying patients with mandibular fracture. If applied to our patient cohort, this rule would have saved 83 radiographs without missing any fractures. CONCLUSIONS: A simple decision rule is presented that can be used to exclude the need for radiography in a subset of patients with mandibular trauma
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