The relevance of professionals' attachment style, expectations and job attitudes for therapeutic relationships with young people who experience psychosis

BACKGROUND

Therapeutic relationships are a central component of community treatment for psychosis and thought to influence clinical and social outcomes, yet there is limited research regarding the potential influence of professional characteristics on positive therapeutic relationships in community care. It was hypothesised that professionals' relating style and attitudes toward their work might be important, and thus this exploratory study modelled associations between these characteristics and therapeutic relationships developed in community psychosis treatment.

METHODS

Dyads of professionals and young patients with psychosis rated their therapeutic relationships with each other. Professionals also completed measures of attachment style, therapeutic optimism, outcome expectancy, and job attitudes regarding working with psychosis.

RESULTS

Professionals' anxious attachment predicted less positive professional therapeutic relationship ratings. In exploratory directed path analysis, data also supported indirect effects, whereby anxious professional attachment predicts less positive therapeutic relationships through reduced professional therapeutic optimism and less positive job attitudes.

CONCLUSIONS

Professional anxious attachment style is directly associated with the therapeutic relationship in psychosis, and indirectly associated through therapeutic optimism and job attitudes. Thus, intervening in professional characteristics could offer an opportunity to limit the impact of insecure attachment on therapeutic relationships in psychosis.

Parameter estimation in a Holzapfel-Ogden law for healthy myocardium

A central problem in biomechanical studies of personalized human left ventricular (LV) modelling is to estimate material properties from in vivo clinical measurements. In this work we evaluate the passive myocardial mechanical properties inversely from the in vivo LV chamber pressure-volume and strain data. The LV myocardium is described using a structure-based orthotropic Holzapfel-Ogden constitutive law with eight parameters. In the first part of the paper we demonstrate how to use a multi-step non-linear least-squares optimization procedure to inversely estimate the parameters from the pressure-volume and strain data obtained from a synthetic LV model in diastole. In the second part, we show that to apply this procedure to clinical situations with limited in vivo data, additional constraints are required in the optimization procedure. Our study, based on three different healthy volunteers, demonstrates that the parameters of the Holzapfel-Ogden law could be extracted from pressure-volume and strain data with a suitable multi-step optimization procedure. Although the uniqueness of the solution cannot be addressed using our approaches, the material response is shown to be robustly determined.