10 research outputs found

    Development of a complex intervention to test the effectiveness of peer support in type 2 diabetes

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    BACKGROUND: Diabetes is a chronic illness which requires the individual to assume responsibility for their own care with the aim of maintaining glucose and blood pressure levels as close to normal as possible. Traditionally self management training for diabetes has been delivered in a didactic setting. In recent times alternatives to the traditional delivery of diabetes care have been investigated, for example, the concept of peer support which emphasises patient rather than professional domination. The aim of this paper is to describe the development of a complex intervention of peer support in type 2 diabetes for a randomised control trial in a primary care setting. METHODS: The Medical Research Council (MRC) framework for the development and evaluation of complex interventions for randomised control trials (RCT) was used as a theoretical guide to designing the intervention. The first three phases (Preclinical Phase, Phase 1, Phase 2) of this framework were examined in depth. The Preclinical Phase included a review of the literature relating to type 2 diabetes and peer support. In Phase 1 the theoretical background and qualitative data from 4 focus groups were combined to define the main components of the intervention. The preliminary intervention was conducted in Phase 2. This was a pilot study conducted in two general practices and amongst 24 patients and 4 peer supporters. Focus groups and semi structured interviews were conducted to collect additional qualitative data to inform the development of the intervention. RESULTS: The four components of the intervention were identified from the Preclinical Phase and Phase 1. They are: 1. Peer supporters; 2. Peer supporter training; 3. Retention and support for peer supporters; 4. Peer support meetings. The preliminary intervention was implemented in the Phase 2. Findings from this phase allowed further modeling of the intervention, to produce the definitive intervention. CONCLUSION: The MRC framework was instrumental in the development of a robust intervention of peer support of type 2 diabetes in primary care. TRIAL REGISTRATION: Current Controlled Trials ISRCTN42541690

    Measuring Emotional Intelligence Enhances the Psychological Evaluation of Chronic Pain

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    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

    Genetic-based dosing in orthopedic patients beginning warfarin therapy

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    High variability in drug response and a narrow therapeutic index complicate warfarin therapy initiation. No existing algorithm provides recommendations on refining the initial warfarin dose based on genetic variables, clinical data, and international normalized ratio (INR) values. Our goal was to develop such an algorithm. We studied 92 patients undergoing primary or revision total hip or knee replacement. From each patient we collected a blood sample, clinical variables, current medications, and preoperative and postoperative laboratory values. We genotyped for polymorphisms in the cytochrome P450 (CYP) 2C9 and vitamin K epoxide reductase (VKORC1) genes. Using stepwise regression, we developed a model for refining the warfarin dose after the third warfarin dose. The algorithm explained four fifths of the variability in therapeutic dose (R2adj of 79%). Significant (P > .05) predictors were INR value after 3 doses (47% reduction per 0.25-unit rise), first warfarin dose (+7% per 1 mg), CYP2C9*3 and CYP2C9*2 genotype (−38% and −17% per allele), estimated blood loss (interacting with INR3), smoking status (+20% in current smokers), and VKORC1 (−11% per copy of haplotype A). If validated, this model should provide a safer, more effective process for initiating warfarin therapy
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