Trial reportBMJ open2018
Evaluation of a digital platform for osteoarthritis treatment: study protocol for a randomised clinical study.
Trial report in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of a Web-based Platform for Osteoarthritis Treatment - a Randomized Clinical Trial
Effects of a Structured Digital Osteoarthritis Self-management Program After 6 Months of Adherence
Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Development of the intelligent knee osteoarthritis lifestyle app: a person-based approach.BMC musculoskeletal disorders · 2024Article
- Article
- Future challenges in rheumatology - is telemedicine the solution?Therapeutic advances in musculoskeletal disease · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDespite favourable results from structured face-to-face treatment of osteoarthritis (OA) in Sweden through the Better management of patients with OsteoArthritis (BOA) initiative, only around 20% of people with knee or hip OA receive the primary treatment recommended by international guidelines (ie, information, exercise, weight management). In 2014, a digital treatment programme named Joint Academy was introduced in Sweden, based on the same concept as the face-to-face BOA programme. In line with BOA, Joint Academy follows national and international guidelines and best practice for OA treatment. Results from observational studies suggest that this digital treatment is a valuable alternative to the traditional treatment approach and can positively impact patients' function and pain. However, conclusions from such studies commonly suggest that more rigorous testing is necessary to ascertain the benefits of digital treatment delivery for people with OA. METHODS AND ANALYSIS: A randomised clinical trial will be performed, comparing regular face-to-face care according to BOA with the digital version, Joint Academy. A total of 270 participants with clinically diagnosed knee OA will be recruited at primary care centres and randomised to either standard treatment (BOA) for 3 months, or the experimental group (digital intervention programme). Both groups will receive educational sessions and exercises yet with a difference in programme deliverance. The objective of the trial is to evaluate the effectiveness of the online treatment programme, in comparison with BOA. The two treatment groups will be compared with respect to the number of repetitions of the 30 s chair stand test at 3, 6 and 12 months, using a mixed model repeated measures analysis of variance. ETHICS AND DISSEMINATION: Ethical approval has been attained from the Regional Board of Ethics in Lund, Sweden (Dnr 2017/719). Results will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT03328741.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.