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Predictors of adherence to low support, computerised, cognitive remediation training in psychosis

Hargreaves, April, Dillon, Rachael, Castorina, Marco, Furey, Emilia, Walsh, Jane C., Fitzmaurice, Brian, Hallahan, Brian, Corvin, Aiden, Robertson, Ian H. and Donohoe, Gary (2018) Predictors of adherence to low support, computerised, cognitive remediation training in psychosis. Psychosis, 10 (4). pp. 298-306. ISSN 1752-2447

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Aim: To 1) establish adherence rates to a computerised, low support cognitive remediation (CR) training programme and 2) delineate clinical, cognitive and psychological factors that predict adherence to CR.

Method: A total of 48 participants with psychosis were asked to complete eight weeks of CR training following a comprehensive baseline assessment including clinical, cognitive and psychological factors. Rates of adherence were analysed and factors predicting adherence were established.

Results: 54.4% of participants completed a meaningful amount of CR training (>300 min) and five key variables were observed to correlate with adherence: Full Scale IQ, age of onset of illness, positive symptoms (SAPS), therapeutic alliance (WAI) and computer literacy. WAI and SAPS were shown to be the most important of those factors; combined they explained 25.7% of variance in adherence, 20.1% of which was accounted for by WAI alone.

Discussion: The current study provides a patient profile of those most likely to adhere to low-support CR. It also highlights the importance of the therapeutic alliance, despite the majority of training occurring in the absence of a therapist. As such, it may well be the quality of the alliance, and not the quantity of contact, that best predicts intervention adherence and success.

Item Type: Article
Subjects: B Philosophy. Psychology. Religion > Psychology
B Philosophy. Psychology. Religion > Psychology > Cognitive psychology
Divisions: School of Business > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 04 Oct 2018 12:16
Last Modified: 07 Dec 2018 12:26

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