Low Back Pain Clinical Trial
Official title:
A Decision Support System for Self-management of Low Back Pain - PILOTSTUDY
The pilot study precedes a larger randomized controlled trial, to be starting in February
2019.
In this pilot study all participants are allocated to the intervention group.
The intervention consists of a digital decision support system delivering a weekly plan of
suggested activities that the participant can use to self-manage their low back pain. The
plan is presented to the participant in the selfBACK app.
The selfBACK intervention consists of the selfBACK system, that provides the participants
with an individually tailored weekly plan of suggested activities to use in their
self-management of low back pain.
The SELFBACK system constitutes a data-driven predictive decision support system that uses
Case-Based Reasoning methodology to capture and reuse participant cases in order to suggest
the most suitable self-management plan for participants. The selfBACK system is an
intelligent system that will adjust the suggested self-management plan to the individual
participants by using the information available on the participant (baseline questionnaires),
weekly self-reported of changes in health status through the app, and data on physical
activity via the step-detecting wristband.
The weekly plan includes three categories of content; 1) information/education, 2) physical
activity monitoring through wearing a step-detecting wristband, and 3) strength and
flexibility exercises.
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