A Decision Support System for Self-management of Low Back Pain - PILOTSTUDY
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.
Inclusion Criteria:
Exclusion Criteria: