Using Intervention Mapping in the Systematic Development of a Behaviour Change Intervention to Enhance Exercise Adherence among People with Persistent Musculoskeletal Pain

Purpose: This article describes the first four steps of the intervention mapping framework used to design a programme aimed at increasing adherence to prescribed exercise by people with persistent musculoskeletal pain. Method: In Step 1, a systematic review and qualitative study was completed to inform Step 2 and the identification of the Health Action Process Approach as an appropriate theoretical framework for establishing two programme objectives: enhancing self-management and providing tailored and accessible exercise instructions. Step 3 encompassed the selection of the programme methods, and the programme is described in Step 4. The resulting programme provides virtually delivered motivational interviewing and an app-based exercise programme to support individuals’ adherence to exercise. Results: The resulting intervention was assessed in a proof-of-concept feasibility and acceptability study and was shown to be feasible and acceptable. Refinements to the programme included additional tailoring of the exercise app and modifying the motivational interviewing schedule. Conclusions: Using the intervention mapping approach enabled us to successfully develop an intervention aimed at supporting the development of self-management behaviours and addressing maladaptive beliefs as a means of enhancing individuals’ adherence to exercise. Evaluation and implementation of the intervention should now be carried out. Objectif : décrire les quatre premières étapes du cadre de modélisation d’une intervention, utilisé pour concevoir un programme visant à accroître l’adhésion à une prescription d’exercices chez les personnes souffrant de douleurs musculosquelettiques persistantes. Méthodologie : à la première étape, les chercheurs ont effectué une analyse systématique et une étude qualitative pour étayer la deuxième étape et déterminer le processus d’action en santé dans un cadre théorique approprié qui permettrait de formuler les deux objectifs du programme : améliorer l’autogestion et fournir des directives d’exercices adaptées et accessibles. L’étape trois englobait le choix de la méthodologie du programme, décrite à l’étape quatre. Le programme qui en découle comprend des entrevues motivationnelles virtuelles et un programme d’exercices fondé sur une application pour renforcer l’adhésion à l’exercice. Résultats : l’intervention obtenue, évaluée dans une étude de validation de la faisabilité et de l’acceptabilité, s’est révélée faisable et acceptable. Les améliorations au programme ont inclus de nouvelles adaptations à l’application d’exercices et des modifications au calendrier d’entrevues motivationnelles. Conclusion : grâce à la démarche de modélisation de l’intervention, il a été possible d’élaborer une intervention visant à promouvoir l’acquisition de comportements d’autogestion et à corriger des convictions mésadaptées pour accroître l’adhésion à l’exercice. Il reste maintenant à évaluer et à mettre en œuvre l’intervention

"It's important to buy in to the new lifestyle": barriers and facilitators of exercise adherence in a population with persistent musculoskeletal pain.

INTRODUCTION: Exercise and physical activity may improve pain and function in people with persistent musculoskeletal pain, but adherence is often low. Understanding the barriers and facilitators of exercise adherence could aid in the development of an intervention to promote exercise adherence. This study explored the factors influencing adherence to prescribed exercise in people with persistent musculoskeletal pain. METHODS: Qualitative semi-structured interviews were conducted with patients with persistent musculoskeletal pain. Registered physiotherapists specializing in the treatment of persistent musculoskeletal pain were recruited to two focus groups. Data was analyzed using framework analysis informed by the Theoretical Domains Framework. FINDINGS: Twenty patient participants (mean age = 44 years, standard deviation = 14) and ten physiotherapists (mean duration registered = 11 years, standard deviation = 5) were included. Four themes were identified: the role of environment, the therapeutic relationship, facilitating engagement with self-management and the influence of pain and negative affect. The Health Action Process Approach was identified as an appropriate model to inform intervention development. CONCLUSIONS: Personal, social, and environmental factors as well as the relationship with the physiotherapist influences exercise adherence. These findings may inform practice and the development of theoretically-informed interventions to enhance exercise adherence in people with persistent musculoskeletal pain.Implications for rehabilitationExercise and physical activity can decrease pain while improving mobility in a population with persistent musculoskeletal pain, but adherence to prescribed programs is low.The physical and social environment, the influence of pain, and negative affect may act as barriers to exercise adherence, while fostering a collaborative therapeutic relationship and facilitating self-management may enhance exercise adherence.The findings from the current study align with the constructs theorized by the Health Action Process Approach to support initiation and maintenance of behavior. This may provide a suitable theoretical framework to support the development of a targeted intervention.Healthcare providers, specifically physiotherapists, may find that facilitating self-management strategies that emphasize coping skills to overcome personal, social and environmental barriers may enhance exercise adherence in their patients

Behaviour change techniques associated with adherence to prescribed exercise in patients with persistent musculoskeletal pain: Systematic review.

PURPOSE: Exercise (planned, structured, repetitive movement) improves pain and function in people with persistent musculoskeletal pain (PMSK), but adherence is often poor. This systematic review evaluates the evidence from randomized controlled trials (RCTs) on the effectiveness of interventions to improve exercise adherence in people with PMSK and describes the content, context, and theoretical underpinning of behaviour change interventions designed to increase adherence. METHODS: Nine electronic databases were searched from inception dates to August 2017. Studies were included if they were RCTs that included adults with PMSK ≥3 months; ≥one measure of exercise adherence, exercise prescribed to both groups, and employed ≥one behaviour change technique (BCT) in the treatment group. Independent data extraction, theory coding, BCT taxonomy coding, and quality assessment using Cochrane Risk of Bias (RoB) tool was conducted by two reviewers. RESULTS: Eight RCTs (five low, three high RoB) met inclusion criteria. Five trials reported between-group differences in exercise adherence, favouring the treatment group. Three trials reported theoretical underpinning. There was moderate evidence that five BCTs, social support, goal setting, instruction of behaviour, demonstration of behaviour, and practice/rehearsal, improved exercise adherence. Interventions employing ≤seven BCTs, unique to those included in the control group, were most effective at enhancing exercise adherence. CONCLUSIONS: Limited moderate-quality evidence supports using a small number of BCTs to enhance exercise adherence in people with PMSK. Further research should explore the associations and synergies between BCTs and explicitly report how theory was utilized. This may inform recommendations for health care professionals working with this population. Statement of contribution What is already known on this subject? Exercise (i.e., planned, structured, repetitive movements) improves pain and function in people with persistent musculoskeletal pain (PMSK). Many people with PMSK do not adhere to exercises prescribed by a health care professional. Little research has explored how to enhance adherence to prescribed exercise in people with PMSK. What does this study add? Moderate-quality evidence from eight trials suggests behaviour change interventions enhance exercise adherence. Social support, goal setting, demonstration, instruction, and rehearsal were employed in effective interventions. Interventions with ≤7 behaviour change techniques were more effective at improving adherence than those employing >7

Observation of associated near-side and away-side long-range correlations in √sNN=5.02 TeV proton-lead collisions with the ATLAS detector

Two-particle correlations in relative azimuthal angle (Δϕ) and pseudorapidity (Δη) are measured in √sNN=5.02  TeV p+Pb collisions using the ATLAS detector at the LHC. The measurements are performed using approximately 1  μb-1 of data as a function of transverse momentum (pT) and the transverse energy (ΣETPb) summed over 3.1<η<4.9 in the direction of the Pb beam. The correlation function, constructed from charged particles, exhibits a long-range (2<|Δη|<5) “near-side” (Δϕ∼0) correlation that grows rapidly with increasing ΣETPb. A long-range “away-side” (Δϕ∼π) correlation, obtained by subtracting the expected contributions from recoiling dijets and other sources estimated using events with small ΣETPb, is found to match the near-side correlation in magnitude, shape (in Δη and Δϕ) and ΣETPb dependence. The resultant Δϕ correlation is approximately symmetric about π/2, and is consistent with a dominant cos⁡2Δϕ modulation for all ΣETPb ranges and particle pT

Search for R-parity-violating supersymmetry in events with four or more leptons in sqrt(s) =7 TeV pp collisions with the ATLAS detector

A search for new phenomena in final states with four or more leptons (electrons or muons) is presented. The analysis is based on 4.7 fb−1 of $\sqrt{s}=7\;\mathrm{TeV}$ proton-proton collisions delivered by the Large Hadron Collider and recorded with the ATLAS detector. Observations are consistent with Standard Model expectations in two signal regions: one that requires moderate values of missing transverse momentum and another that requires large effective mass. The results are interpreted in a simplified model of R-parity-violating supersymmetry in which a 95% CL exclusion region is set for charged wino masses up to 540 GeV. In an R-parity-violating MSUGRA/CMSSM model, values of m 1/2 up to 820 GeV are excluded for 10 < tan β < 40

An ontology-based nurse call management system (oNCS) with probabilistic priority assessment

<p>Abstract</p> <p>Background</p> <p>The current, place-oriented nurse call systems are very static. A patient can only make calls with a button which is fixed to a wall of a room. Moreover, the system does not take into account various factors specific to a situation. In the future, there will be an evolution to a mobile button for each patient so that they can walk around freely and still make calls. The system would become person-oriented and the available context information should be taken into account to assign the correct nurse to a call.</p> <p>The aim of this research is (1) the design of a software platform that supports the transition to mobile and wireless nurse call buttons in hospitals and residential care and (2) the design of a sophisticated nurse call algorithm. This algorithm dynamically adapts to the situation at hand by taking the profile information of staff members and patients into account. Additionally, the priority of a call probabilistically depends on the risk factors, assigned to a patient.</p> <p>Methods</p> <p>The <it>ontology-based Nurse Call System (oNCS) </it>was developed as an extension of a <it>Context-Aware Service Platform</it>. An ontology is used to manage the profile information. Rules implement the novel nurse call algorithm that takes all this information into account. Probabilistic reasoning algorithms are designed to determine the priority of a call based on the risk factors of the patient.</p> <p>Results</p> <p>The <it>oNCS </it>system is evaluated through a prototype implementation and simulations, based on a detailed dataset obtained from Ghent University Hospital. The arrival times of nurses at the location of a call, the workload distribution of calls amongst nurses and the assignment of priorities to calls are compared for the <it>oNCS </it><it>system </it>and the current, place-oriented nurse call system. Additionally, the performance of the system is discussed.</p> <p>Conclusions</p> <p>The execution time of the nurse call algorithm is on average 50.333 ms. Moreover, the <it>oNCS system </it>significantly improves the assignment of nurses to calls. Calls generally have a nurse present faster and the workload-distribution amongst the nurses improves.</p

A Genome Wide Association Scan of Bovine Tuberculosis Susceptibility in Holstein-Friesian Dairy Cattle

peer-reviewedBackground: Bovine tuberculosis is a significant veterinary and financial problem in many parts of the world. Although many factors influence infection and progression of the disease, there is a host genetic component and dissection of this may enlighten on the wider biology of host response to tuberculosis. However, a binary phenotype of presence/absence of infection presents a noisy signal for genomewide association study. Methodology/Principal Findings: We calculated a composite phenotype of genetic merit for TB susceptibility based on disease incidence in daughters of elite sires used for artificial insemination in the Irish dairy herd. This robust measure was compared with 44,426 SNP genotypes in the most informative 307 subjects in a genome wide association analysis. Three SNPs in a 65 kb genomic region on BTA 22 were associated (i.e. p,1025, peaking at position 59588069, p = 4.0261026) with tuberculosis susceptibility. Conclusions/Significance: A genomic region on BTA 22 was suggestively associated with tuberculosis susceptibility; it contains the taurine transporter gene SLC6A6, or TauT, which is known to function in the immune system but has not previously been investigated for its role in tuberculosis infection

Classification of Camellia (Theaceae) Species Using Leaf Architecture Variations and Pattern Recognition Techniques

Leaf characters have been successfully utilized to classify Camellia (Theaceae) species; however, leaf characters combined with supervised pattern recognition techniques have not been previously explored. We present results of using leaf morphological and venation characters of 93 species from five sections of genus Camellia to assess the effectiveness of several supervised pattern recognition techniques for classifications and compare their accuracy. Clustering approach, Learning Vector Quantization neural network (LVQ-ANN), Dynamic Architecture for Artificial Neural Networks (DAN2), and C-support vector machines (SVM) are used to discriminate 93 species from five sections of genus Camellia (11 in sect. Furfuracea, 16 in sect. Paracamellia, 12 in sect. Tuberculata, 34 in sect. Camellia, and 20 in sect. Theopsis). DAN2 and SVM show excellent classification results for genus Camellia with DAN2's accuracy of 97.92% and 91.11% for training and testing data sets respectively. The RBF-SVM results of 97.92% and 97.78% for training and testing offer the best classification accuracy. A hierarchical dendrogram based on leaf architecture data has confirmed the morphological classification of the five sections as previously proposed. The overall results suggest that leaf architecture-based data analysis using supervised pattern recognition techniques, especially DAN2 and SVM discrimination methods, is excellent for identification of Camellia species

Search for dark matter candidates and large extra dimensions in events with a jet and missing transverse momentum with the ATLAS detector

A search for new phenomena in events with a high-energy jet and large missing transverse momentum is performed using data from proton-proton collisions at s√=7TeV with the ATLAS experiment at the Large Hadron Collider. Four kinematic regions are explored using a dataset corresponding to an integrated luminosity of 4.7 fb−1. No excess of events beyond expectations from Standard Model processes is observed, and limits are set on large extra dimensions and the pair production of dark matter particles