Accurate characterisation of fractures is essential in fracture management trials. However, this is often hampered by poor inter-observer agreement. This article describes the practicalities of defining the fracture population, based on the Neer classification, within a pragmatic multicentre randomised controlled trial in which surgical treatment was compared with non-surgical treatment in adults with displaced fractures of the proximal humerus involving the surgical neck. The trial manual illustrated the Neer classification of proximal humeral fractures. However, in addition to surgical neck displacement, surgeons assessing patient eligibility reported on whether either or both of the tuberosities were involved. Anonymised electronic versions of baseline radiographs were sought for all 250 trial participants. A protocol, data collection tool and training presentation were developed and tested in a pilot study. These were then used in a formal assessment and classification of the trial fractures by two independent senior orthopaedic shoulder trauma surgeons.Objectives
Methods
A rigorous approach to developing, delivering and documenting
rehabilitation within randomised controlled trials of surgical interventions
is required to underpin the generation of reliable and usable evidence.
This article describes the key processes used to ensure provision
of good quality and comparable rehabilitation to all participants
of a multi-centre randomised controlled trial comparing surgery
with conservative treatment of proximal humeral fractures in adults. These processes included the development of a patient information
leaflet on self-care during sling immobilisation, the development
of a basic treatment physiotherapy protocol that received input
and endorsement by specialist physiotherapists providing patient
care, and establishing an expectation for the provision of home
exercises. Specially designed forms were also developed to facilitate
reliable reporting of the physiotherapy care that patients received.Objectives
Methods
