Natural Semantic Networks of the Neurorehabilitation Concept by Spanish Physiotherapists-A Qualitative Phenomenological Representational Study

Behav Sci (Basel). 2023 Nov 26;13(12):972. doi: 10.3390/bs13120972.

Abstract

The Natural Semantic Networks (NSN) model is highly useful in analyzing the words that define a concept in terms of the value, strength, weight, or density that a specific population assigns to the construction of a learned concept. The main objective of this study was to describe the conceptualization of the concept of neurorehabilitation by Spanish physiotherapists specializing in this field using NSN. A phenomenological study is presented. The participants were physiotherapy professionals who graduated from three Spanish universities and were working in the field of neurorehabilitation. A questionnaire was administered via Google Forms, which was constructed using the NSN technique. A total of 191 physiotherapists participated in this study. The Spanish physiotherapists interviewed used a total of 1247 defining words for the concept of neurorehabilitation. The semantic core of the concept was mainly formed by the words 'treatment', 'recovery', 'functionality', 'neuroplasticity', and 'learning', which carried significant weight. Results were also presented taking into account the academic level and years of professional experience of the sample. The semantic network observed in this study allows us to elucidate the polysemy of the concept of neurorehabilitation, which is composed not only of certain associated words but also the meanings they imply.

Keywords: natural semantic networks; neurological rehabilitation; neurorehabilitation; physiotherapists.

Grants and funding

This research received no external funding.