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Webex Cohort

Population Size

104

People

Population Size statistic card

Years

2018

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

Randomized controlled trial of exercise vs standard care in patients with radiographic and clinical knee OA.

Documentation

Knee osteoarthritis (OA) is the most common joint disease worldwide. As of today, there are no disease-modifying drugs, but there is evidence that muscle strengthening exercises can substantially reduce pain and improve function in this disorder, and one very well tested physiotherapy protocol is the 'Better Management of Patients with Osteoarthritis' developed in Sweden. Given the high prevalence of knee OA, a potentially cost-effective, digitally delivered approach to treat knee OA should be trialled. This study aims to explore the benefits of iBEAT-OA (Internet-Based Exercise programme Aimed at Treating knee Osteoarthritis) in modulating pain, function and other health-related outcomes in individuals with knee OA.

A randomised controlled trial was designed to evaluate the efficacy of a web-based exercise programme in a population with knee OA compared with standard community care provided by general practitioners (GPs) in the UK. We anticipate recruiting participants into equal groups. The intervention group (n=67) will exercise for 20-30 min daily for six consecutive weeks, whereas the control group (n=67) will follow GP-recommended routine care. The participants will be assessed using a Numerical Rating Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, the Arthritis Research UK Musculoskeletal Health Questionnaire, the Pittsburgh Sleep Quality Index, 30 s sit to stand test, timed up and go test, quantitative sensory testing, musculoskeletal ultrasound scan, muscle thickness assessment of the vastus lateralis, and quadriceps muscles force generation during an isokinetic maximum voluntary contraction (MVC). Samples of urine, blood, faeces and synovial fluid will be collected to establish biomarkers associated with changes in pain and sleep patterns in individuals affected with knee OA. Standard parametric regression methods will be used for statistical analysis.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Dataset population size

104

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

104

Count

26 Sep 2021

Provenance

Image contrast

Not stated

Biological sample availability

None/not available

Details

Publishing frequency

Static

Version

2.0.0

Modified

08/10/2024

Coverage

Start date

31/05/2018

Time lag

Not applicable

Geographic coverage

United Kingdom, England

Accessibility

Language

en

Alignment with standardised data models

OMOP

Controlled vocabulary

LOCAL

Format

csv

Data Access Request

Dataset pipeline status

Not available

Access rights

Time to dataset access

Not applicable

Jurisdiction

GB-ENG

Data Controller

University of Nottingham

Dataset Types: Health and disease


Collection Sources:

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