Psychosocial, psychopharmacological and demographic predictors of changes in psychological distress over a course of computerised cognitive behavioural therapy (cCBT)

TY - JOUR

T1 - Psychosocial, psychopharmacological and demographic predictors of changes in psychological distress over a course of computerised cognitive behavioural therapy (cCBT)

AU - Cientanni, Fabia

AU - Power, Kevin

AU - Wright, Christopher

AU - Sani, Fabio

AU - Reilly, Diane

AU - Blake, Marie Louise

AU - Hustings, Kerry

AU - Morgan, David

AU - Clark, Stella

PY - 2019/9/1

Y1 - 2019/9/1

N2 - Social group identification, socioeconomic deprivation, and a number of other clinical and demographic factors have been found to predict severity of psychological distress prior to treatment in those referred to receive computerised cognitive behavioural therapy (cCBT) as an intervention for mild to moderate depression. The aim of the current study is to investigate whether the same key factors are able to predict magnitude of change in psychological distress across treatment in a sample receiving cCBT. Participants (N = 1158) consisted of individuals completing the ‘Beating the Blues’ (BtB) programme. Participants completed three versions of the group identifications scale (GIS), one for each of three groups: family, community, and a social group of choice. Changes in psychological distress showed statistically significant improvements between pre- and post-treatment assessment in all outcome measure subscales. Significantly greater changes (reductions) in psychological distress were found in those who had more severe pre-treatment psychological distress, those who lived in a lesser state of socioeconomic deprivation, those who identified with more social groups, and those taking antidepressant medication (ADM) concurrently. These findings provide valuable information on the likely course of treatment in those receiving cCBT, and highlight both the potential of social group identification as a ‘social cure’ for poor psychological health and the inequalities of the socioeconomic health gradient.

AB - Social group identification, socioeconomic deprivation, and a number of other clinical and demographic factors have been found to predict severity of psychological distress prior to treatment in those referred to receive computerised cognitive behavioural therapy (cCBT) as an intervention for mild to moderate depression. The aim of the current study is to investigate whether the same key factors are able to predict magnitude of change in psychological distress across treatment in a sample receiving cCBT. Participants (N = 1158) consisted of individuals completing the ‘Beating the Blues’ (BtB) programme. Participants completed three versions of the group identifications scale (GIS), one for each of three groups: family, community, and a social group of choice. Changes in psychological distress showed statistically significant improvements between pre- and post-treatment assessment in all outcome measure subscales. Significantly greater changes (reductions) in psychological distress were found in those who had more severe pre-treatment psychological distress, those who lived in a lesser state of socioeconomic deprivation, those who identified with more social groups, and those taking antidepressant medication (ADM) concurrently. These findings provide valuable information on the likely course of treatment in those receiving cCBT, and highlight both the potential of social group identification as a ‘social cure’ for poor psychological health and the inequalities of the socioeconomic health gradient.

KW - cCBT

KW - Changes in psychological distress

KW - Computerised cognitive Behavioural therapy

KW - SIMD

KW - Social group identifications

KW - Socioeconomic deprivation

UR - https://www.scopus.com/pages/publications/85065579779

U2 - 10.1016/j.invent.2019.100248

DO - 10.1016/j.invent.2019.100248

M3 - Article

C2 - 31193258

AN - SCOPUS:85065579779

SN - 2214-7829

VL - 17

SP - 1

EP - 13

JO - Internet Interventions

JF - Internet Interventions

M1 - 100248

ER -