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A New Method For Analysing The Therapy Process
In clinical settings, therapy processes are complex dynamical systems where several variables are constantly interacting
with each other. In general, the underlying mechanisms are difficult to assess.
The new approach studied at the University of Heidelber and published in the March issue of Psychotherapy and Psychosomatics,
consists of identifying the dependency structure of relevant variables within the therapy process using interaction graphs.
These are instruments for multivariate time series which are based on the analysis of partial spectral coherences. They used
interaction graphs in order to investigate the therapy process of a multimodal therapy concept for fibromyalgia patients. The
main hypothesis was that self-efficacy plays a central role in the therapy process. Patients kept an electronic diary for 13
weeks. Pain intensity, depression, sleep quality, anxiety and self-efficacy were assessed via visual analogue scales.
The resulting multivariate time series were aggregated over individuals, and partial spectral coherences between each pair of
the variables were calculated. From the partial coherences, interaction graphs were plotted. Within the resulting graphical
model, self-efficacy was strongly related to pain intensity, depression and sleep quality. All other relations were
substantially weaker. There was no direct relationship between pain intensity and sleep quality.
The relations between two variables within the therapy process are mainly induced by self-efficacy. Interaction graphs can be
used to pool time series data of several patients and thus to assess the common underlying dependency structure of a group of
patients. The graphical representation is easily comprehensible and allows to distinguish between direct and indirect
relationships.
Reference URL
http://www.karger.com
http://www.alphagalileo.org
O nouã metodã de analizã a procesului Terapie - A New Method For Analysing The Therapy Process - articole medicale engleza - startsanatate