Text Message intervention to improve function in people with low back pain TEXT4myBACK
Shan, S.; Billot, L.; Ferreira, M.
Show abstract
The TEXT4myBACK trial aims to examine the effect of lifestyle-focused program delivered by text message on function in people with non-persistent low back pain. The lifestyle-focused intervention is delivered as a mobile phone text message over a period of 12 weeks. The statistical analysis plan pre-specifies the method of analysis for every outcome and key variables collected in the trial. The primary outcome is a composite endpoint incorporating measures of pain, functional status, patient reported impression of change, generic quality of life, levels of activity, hospital as well as medication use at 3-months follow-up that will be categorised into a hierarchy with number one ranked as most important according to clinical importance. The primary composite endpoint will be analysed using a hierarchical win ratio approach. Win-ratio approach maintains sequential assessment of outcomes while simultaneously assessing the effect of intervention for multiple outcomes as a single measure. Secondary, exploratory and subgroup group analysis have been pre-specified as well.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Clinical And Cost-Effectiveness Of A Personalised Guided Consultation Versus Usual Physiotherapy Care In People Presenting With Shoulder Pain: A Protocol For The Panda-S Cluster Randomised Controlled Trial And Process Evaluation 97%
- A text messaging intervention to support patients with chronic pain during prescription opioid tapering: protocol for a double-blind randomised controlled trial 96%
- Predicting pain and function outcomes in people consulting with shoulder pain: The PANDA-S clinical cohort and qualitative study protocol (ISRCTN 46948079) 96%
Similar papers in this journal
- The effect of osteotomy technique (flat-cut vs wedge-cut Weil) on pain relief and complication incidence following surgical treatment for patients presenting with metatarsalgia in a private metropolitan clinic: Protocol for a randomised controlled trial 95%
- The smallest worthwhile effect on pain and function for rotator cuff repair surgery: a benefit-harm trade-off study 93%
- Controlled evaLuation of Angiotensin Receptor Blockers for COVID-19 respIraTorY disease (CLARITY): Statistical analysis plan for a randomised controlled Bayesian adaptive sample size trial 93%
Similar papers in this journal
- Can a specific biobehavioral based therapeutic education program lead to changes in pain perception and brain plasticity biomarkers in chronic pain patients? A study protocol for a randomized clinical trial 96%
- STIMULATE-ICP: A pragmatic, multi-centre, cluster randomised trial of an integrated care pathway with a nested, Phase III, open label, adaptive platform randomised drug trial in individuals with Long COVID: a structured protocol 95%
- Supervised and self-directed technology-based dual-task exercise training programme for older adults at risk of falling – Protocol for a feasibility study 94%
Similar papers in this journal
- Real-time Auditory Feedback for Improving Gait and Walking in People with Parkinson’s Disease: A Pilot and Feasibility Trial 93%
- Mobile Phone Virtual Reality Game for Pediatric Home Burn Dressing Pain Management, a Randomized Clinical Trial 92%
- Control, Fludrocortisone or Midodrine for the treatment of Orthostatic Hypotension (CONFORM-OH): Results from an internal pilot randomised controlled trial 91%
Similar papers in this journal
- Adrenaline (epinephrine) compared to selective beta-2-agonist in adults or children with acute asthma: a systematic review and meta-analysis 90%
- Brain activity measured by functional brain imaging predicts breathlessness improvement during pulmonary rehabilitation 90%
- Optimised oxygenation improves functional capacity during daily activities in patients with COPD on long-term oxygen therapy – a randomised crossover trial 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.