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Showing papers by "Tamar Pincus published in 2015"


Journal ArticleDOI
TL;DR: CCBT is a credible and acceptable intervention for LBP patients who exhibit psychological obstacles to recovery and recruitment, delivery, and response rates prior to moving to a full definitive trial.
Abstract: Background: Low Back Pain (LBP) remains a common and costly problem. Psychological obstacles to recovery have been identified, but psychological and behavioural interventions have produced only moderate improvements. Reviews of trials have suggested that the interventions lack clear theoretical basis, are often compromised by low dose, lack of fidelity, and delivery by non-experts. In addition, interventions do not directly target known risk mechanisms. We identified a theory driven intervention (Contexual Cognitive Behavioural Therapy, CCBT) that directly targets an evidence-based risk mechanism (avoidance and ensured dose and delivery were optimised. This feasibility study was designed to test the credibility and acceptability of optimised CCBT against physiotherapy for avoidant LBP patients, and to test recruitment, delivery of the intervention and response rates prior to moving to a full definitive trial. Methods: A randomised controlled feasibility trial with patients randomised to receive CCBT or physiotherapy. CCBT was delivered by trained supervised psychologists on a one to one basis and comprised up to 8 one-hour sessions. Physiotherapy comprised back to fitness group exercises with at least 60 % of content exercise-based. Patients were eligible to take part if they had back pain for more than 3 months, and scored above a threshold indicating fear avoidance, catastrophic beliefs and distress. Results: 89 patients were recruited. Uptake rates were above those predicted. Scores for credibility and acceptability of the interventions met the set criteria. Response rates at three and six months fell short of the 75 % target. Problems associated with poor response rates were identified and successfully resolved, rates increased to 77 % at 3 months, and 68 % at 6 months. Independent ratings of treatment sessions indicated that CCBT was delivered to fidelity. Numbers were too small for formal analysis. Although average scores for acceptance were higher in the CCBT group than in the group attending physiotherapy (increase of 7.9 versus 5.1) and change in disability and pain from baseline to 6 months were greater in the CCBT group than in the physiotherapy group, these findings should be interpreted with caution. (Continued on next page)

43 citations


Journal ArticleDOI
TL;DR: The themes of implicit and explicit reassurance uncovered here correspond with ideas of affective and cognitive reassurance, respectively, which support the use of information and education to alleviate concerns.
Abstract: Background Reassurance is commonly recommended in guidelines for the management of low back pain in primary care, although it is poorly defined, and what it means to patients remains unknown. Aim To explore how patients with low back pain perceive practitioners’ reassuring behaviours during consultations. Design and setting Qualitative study undertaken with patients from nine GP surgeries in Northamptonshire, England. Method Twenty-three patients who had recently consulted for non-specific low back pain were recruited from general practice. Semi-structured interviews explored what they had found reassuring during their consultations and the effect of such reassurance since their consultations. Interview transcripts were analysed using the thematic framework method. Results Patients each brought to their consultations experiences, beliefs, expectations, and concerns that they wanted the doctor to hear and understand. They were reassured implicitly when it seemed the doctor was taking them seriously and wanted to help; this was also achieved through relationship building and feeling that the GP was readily available to them. However, it was only explicit, informational reassurance that directly addressed patients’ concerns by providing them with explanations ruling out serious disease, and helped them to understand and cope with their pain. Conclusion The themes of implicit and explicit reassurance uncovered here correspond with ideas of affective and cognitive reassurance, respectively. Although the findings support the use of information and education to alleviate concerns, the role of implicit reassurance through relationship building and empathy remains less clear. The impact of these behaviours on outcomes should form a priority for future research.

34 citations


Journal ArticleDOI
TL;DR: Reassurance of patients in early phases of persistent back pain might improve from affective and cognitive parts of communication and individually tailored information.
Abstract: Objectives:Effective reassurance of patients reporting symptoms, for which no clear etiological origin is available, is one of the most important challenges in the early phases of nonspecific back pain. However, there is a lack of empirical studies on the effects of reassurance and, also, the effect

29 citations


Journal Article
TL;DR: In this paper, the authors studied the relationship between diagnostic uncertainty and recall bias in two groups of chronic LBP patients, those who were certain about their diagnosis, and those who believed that their pain was due to an undiagnosed problem.
Abstract: Purpose of the study and background Patients9 beliefs about the origin of their pain and their cognitive processing of pain-related information have both been shown to be associated with poorer prognosis in low back pain (LBP), but the relationship between specific beliefs and specific cognitive processes is not known. The aim of this study was to study the relationship between diagnostic uncertainty and recall bias in two groups of chronic LBP patients, those who were certain about their diagnosis, and those who believed that their pain was due to an undiagnosed problem. Summary of the methods used and the results Patients (N=68) endorsed and subsequently recalled pain, illness, depression and neutral stimuli. They also provided measures of pain, diagnostic status, mood and disability. Both groups exhibited a recall bias for pain stimuli, but only the group with diagnostic uncertainty additionally displayed a recall bias for illness-related stimuli. This bias remained after controlling for depression and disability. Sensitivity analyses using grouping by diagnosis/explanation received supported these findings. Higher levels of depression and disability were found in the group with diagnostic uncertainty, but levels of pain intensity did not differ between the groups. Conclusion Although the methodology does not provide information on causality, the results provide evidence for a relationship between diagnostic uncertainty and recall bias for negative health-related stimuli in chronic LBP patients. This abstract has been submitted to a journal, but it has not been published yet. Conflicts of interest: No conflicts of interest The study was partly funded by the Pain Relief Foundation and British College of Osteopathic Medicine; however they had no involvement in the study design, data collection, data analysis and manuscript preparation.

25 citations


Book ChapterDOI
20 Apr 2015
TL;DR: It is shown that attributes can be extracted from the time series produced by the Kinect sensor using a dynamic time-warping technique, and fed to a random forest algorithm, to recognise anomalous behaviour in time series of joint measurements over the whole movement.
Abstract: This paper examines the application of machine-learning techniques to human movement data in order to recognise and compare movements made by different people. Data from an experimental set-up using a sit-to-stand movement are first collected using the Microsoft Kinect input sensor, then normalized and subsequently compared using the assigned labels for correct and incorrect movements. We show that attributes can be extracted from the time series produced by the Kinect sensor using a dynamic time-warping technique. The extracted attributes are then fed to a random forest algorithm, to recognise anomalous behaviour in time series of joint measurements over the whole movement. For comparison, the k-Nearest Neighbours algorithm is also used on the same attributes with good results. Both methods’ results are compared using Multi-Dimensional Scaling for clustering visualisation.

4 citations