Paper short abstract:

This study aims to provide insight into self-perceived functioning, goals and action plans and observe changes over time of participants of the CA-based, BigMove intervention. The study highlights a novel approach to capturing change in participants' self-perceived functioning and well-being.

Paper long abstract:

Background

In the BigMove intervention, people with physical and mental health conditions assess their functioning, set goals, and define action plans to achieve their goals recorded in an e-health application using all categories of the International Classification of Functioning, Disability, and Health (ICF). This study investigates whether data from this application can provide insight into participants' self-perceived functioning, goals and action plans and observe changes over time.

Methods

Data from 446 participants were analysed with descriptive statistics to describe self-perceived functioning and the ICF categories related to the 15 most frequently chosen goals. Action plans were analysed using inductive analysis. Changes over time were investigated by comparing assessments before and after at least four months in the intervention.

Results

The data provided insight into the self-perceived functioning, goals and action plans. Also, changes over time were observed. Self-perceived functioning changed from being mainly negative before, to mainly positive after the intervention. While goals were mostly related to the same ICF categories, the action plans changed from more specific short-term to more general long-term plans.

Conclusions

Our study demonstrates that all categories of the ICF can be used to record self-perceived functioning, goals and action plans and monitor changes over time.