Satisfaction with cognitive remediation therapy: its effects on implementation and outcomes using the cognitive remediation satisfaction scale.


Journal

Schizophrenia (Heidelberg, Germany)
ISSN: 2754-6993
Titre abrégé: Schizophrenia (Heidelb)
Pays: Germany
ID NLM: 9918367987006676

Informations de publication

Date de publication:
30 Sep 2023
Historique:
received: 18 07 2023
accepted: 17 08 2023
medline: 1 10 2023
pubmed: 1 10 2023
entrez: 30 9 2023
Statut: epublish

Résumé

Cognitive Remediation (CR) improves cognition and functioning but is implemented in a variety of ways (independent, group and one-to-one). There is no information on whether service users find these implementation methods acceptable or if their satisfaction influences CR outcomes. We used mixed participatory methods, including focus groups, to co-develop a CR satisfaction scale. This was refined using three psychometric criteria (Cronbach's alpha, item discrimination, test-retest agreement) to select items. Factor analysis explored potential substructures. The refined measure was used in structural equation joint modelling to evaluate whether satisfaction with CR is affected by implementation method and treatment engagement or influences recovery outcome, using data from a randomised controlled trial. Four themes (therapy hours, therapist, treatment effects, computer use) generated a 31-item Cognitive Remediation Satisfaction scale (CRS) that reduced to 18 Likert items, 2 binary and 2 open-ended questions following psychometric assessment. CRS had good internal consistency (Alpha = 0.814), test-retest reliability (r= 0.763), and concurrent validity using the Working Alliance Inventory (r = 0.56). A 2-factor solution divided items into therapy engagement and therapy effects. Satisfaction was not related to implementation method but was significantly associated with CR engagement. Therapy hours were significantly associated with recovery, but there was no direct effect of satisfaction on outcome. Although satisfaction is important to therapy engagement, it has no direct effect on outcome. CR therapy hours directly affect outcome irrespective of which implementation model is used, so measuring satisfaction early might help to identify those who are likely to disengage. The study has mixed methods design.

Identifiants

pubmed: 37777545
doi: 10.1038/s41537-023-00390-9
pii: 10.1038/s41537-023-00390-9
pmc: PMC10542804
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

67

Subventions

Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002
Organisme : DH | NIHR | Programme Grants for Applied Research (NIHR Programme Grants for Applied Research)
ID : RP-PG-0612-20002

Informations de copyright

© 2023. Springer Nature Limited.

Références

Wykes, T., Huddy, V., Cellard, C., McGurk, S. R. & Czobor, P. A meta-analysis of cognitive remediation for schizophrenia: methodology and effect sizes. Am. J. Psych. 168, 472–485 (2011).
doi: 10.1176/appi.ajp.2010.10060855
Bowie, C. R. et al. Cognitive remediation for schizophrenia: An expert working group white paper on core techniques. Schizophr. Res. 215, 49–53 (2020).
doi: 10.1016/j.schres.2019.10.047 pubmed: 31699627
Kambeitz-Ilankovic, L. et al. Multi-outcome meta-analysis (MOMA) of cognitive remediation in schizophrenia: Revisiting the relevance of human coaching and elucidating interplay between multiple outcomes. Neurosci. Biobehav. Rev. 107, 828–845 (2019).
doi: 10.1016/j.neubiorev.2019.09.031 pubmed: 31557548 pmcid: 8942567
Lejeune, J. A., Northrop, A. & Kurtz, M. M. A meta-analysis of cognitive remediation for schizophrenia: efficacy and the role of participant and treatment factors. Schizophr. Bull. 47, 997–1006 (2021).
doi: 10.1093/schbul/sbab022 pubmed: 33772310 pmcid: 8266668
Vita, A. et al. Effectiveness, core elements, and moderators of response of cognitive remediation for schizophrenia: a systematic review and meta-analysis of randomized clinical trials. JAMA Psych. 78, 848–858 (2021).
doi: 10.1001/jamapsychiatry.2021.0620
Moura, B. M. et al. Facilitating the delivery of cognitive remediation in first-episode psychosis: pilot study of a home-delivered web-based intervention. J. Nerv. Ment. Dis. 207, 951–957 (2019).
doi: 10.1097/NMD.0000000000001055 pubmed: 31503184
Contreras, N. A., Lee, S., Tan, E. J., Castle, D. J. & Rossell, S. L. How is cognitive remediation training perceived by people with schizophrenia? A qualitative study examining personal experiences. J. Ment. Health 25, 260–266 (2016).
doi: 10.3109/09638237.2016.1167856 pubmed: 27045420
Hargreaves, A., Daly-Ryan, N., Dillon, R. & Donohoe, G. Independent computerized cognitive remediation for psychosis: an investigation of patient experiences. J. Nerv. Ment. Dis. 206, 606–613 (2018).
doi: 10.1097/NMD.0000000000000852 pubmed: 30020205
Rose, D. et al. What do clients think of cognitive remediation therapy?: a consumer-led investigation of satisfaction and side effects. Am. J. Psych. Rehab. 11, 181–204 (2008).
Vita, A. et al. Acceptability of cognitive remediation for schizophrenia: a systematic review and meta-analysis of randomized controlled trials. Psychol. Med. 53, 3661–3671 (2023).
doi: 10.1017/S0033291722000319 pubmed: 35257646
Sekhon, M., Cartwright, M. & Francis, J. J. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv. Res. 17, 1–13 (2017).
doi: 10.1186/s12913-017-2031-8
Rose, D., Evans, J., Sweeney, A. & Wykes, T. A model for developing outcome measures from the perspectives of mental health service users. Int. Rev. Psych. 23, 41–46 (2011).
doi: 10.3109/09540261.2010.545990
Evans, J. et al. VOICE: developing a new measure of service users’ perceptions of inpatient care, using a participatory methodology. J. Ment. Health 21, 57–71 (2012).
doi: 10.3109/09638237.2011.629240 pubmed: 22257131 pmcid: 4018995
Wykes, T. et al. The CIRCuiTS study (Implementation of cognitive remediation in early intervention services): protocol for a randomised controlled trial. Trials 19, 1–12 (2018).
doi: 10.1186/s13063-018-2553-3
Kiresuk, T. J., Smith, A., & Cardillo, J. E. (eds) Goal attainment scaling: Applications, theory, and measurement. (Lawrence Erlbaum Associates, Inc., 1994).
Wykes, T. et al. Cognitive Remediation works but how should be provide it? An adaptive randomised controlled trial of delivery methods using a patient nominated recovery outcome in first episode participants. Schizoph. Bull. 49, 614–625 (2023).
doi: 10.1093/schbul/sbac214 pubmed: 36869733 pmcid: 10154711
Reeder, C. et al. The feasibility and acceptability to service users of CIRCuiTS, a computerized cognitive remediation therapy programme for schizophrenia. Behav. Cogn. Psychoth. 44, 288–305 (2016).
doi: 10.1017/S1352465815000168
Reeder, C. et al. A new generation computerised metacognitive cognitive remediation programme for schizophrenia (CIRCuiTS): a randomised controlled trial. Psychol. Med. 47, 2720–2730 (2017).
doi: 10.1017/S0033291717001234 pubmed: 28866988 pmcid: 5647677
Forbes, C. et al. Initial development and preliminary validation of a new negative symptom measure: the Clinical Assessment Interview for Negative Symptoms (CAINS). Schizophr. Res. 124, 36–42 (2010).
doi: 10.1016/j.schres.2010.08.039 pubmed: 20869848 pmcid: 2981616
Kay, S. R., Fiszbein, A. & Opler, L. A. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr. Bull. 13, 261–276 (1987).
doi: 10.1093/schbul/13.2.261 pubmed: 3616518
Jung, D. I., Chow, C. & Wu, A. The role of transformational leadership in enhancing organizational innovation: Hypotheses and some preliminary findings. Leadersh. Quart. 14, 525–544 (2003).
doi: 10.1016/S1048-9843(03)00050-X
Drake, R. J. et al. A naturalistic, randomized, controlled trial combining cognitive remediation with cognitive-behavioural therapy after first-episode non-affective psychosis. Psychol. Med. 44, 1889–1899 (2014).
doi: 10.1017/S0033291713002559 pubmed: 24172842
Van Duin, D. et al. Effects of IPS plus cognitive remediation in early psychosis: 18-month functioning outcomes of a randomized controlled trial. Schizophr. Res. 236, 115–122 (2021).
doi: 10.1016/j.schres.2021.07.025 pubmed: 34482187
Ennis, L. & Wykes, T. Impact of patient involvement in mental health research: longitudinal study. Br. J. Psych. 203, 381–386 (2013).
doi: 10.1192/bjp.bp.112.119818
Braun, V. & Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77–101 (2006).
doi: 10.1191/1478088706qp063oa
Medalia, A. et al. Feasibility and acceptability of remotely accessed cognitive remediation for schizophrenia in public health settings. Psych.Res. 301, 113956 (2021).
doi: 10.1016/j.psychres.2021.113956
Bryce, S., Warren, N., Ponsford, J., Rossell, S. & Lee, S. Understanding the lived experience of cognitive remediation in schizophrenia: A qualitative comparison with an active control. Psychiatr. Rehabil. J. 41, 302–311 (2018).
doi: 10.1037/prj0000309 pubmed: 30010356
Browne, J. et al. The alliance-outcome relationship in individual psychosocial treatment for schizophrenia and early psychosis: A meta-analysis. Schizophr. Res. 231, 154–163 (2021).
doi: 10.1016/j.schres.2021.04.002 pubmed: 33866260
Fiszdon, J. M., Kurtz, M. M., Choi, J., Bell, M. D. & Martino, S. Motivational interviewing to increase cognitive rehabilitation adherence in schizophrenia. Schizophr. Bull. 42, 327–334 (2016).
doi: 10.1093/schbul/sbv143 pubmed: 26420905
Proctor, E. et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm. Policy Ment. Health 38, 65–76 (2011).
doi: 10.1007/s10488-010-0319-7 pubmed: 20957426

Auteurs

Joanne Evans (J)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Rose Tinch-Taylor (R)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Emese Csipke (E)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Matteo Cella (M)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
South London and Maudsley NHS Foundation Trust, London, UK.

Andrew Pickles (A)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Paul McCrone (P)

School of Health Sciences, University of Greenwich, London, UK.

Dominic Stringer (D)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Abigail Oliver (A)

UCL Queen Square Institute of Neurology, University College London, London, UK.

Clare Reeder (C)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Max Birchwood (M)

Warwick Medical School, University of Warwick, Coventry, UK.

David Fowler (D)

School of Psychology, University of Sussex, Brighton, UK.

Kathryn Greenwood (K)

School of Psychology, University of Sussex, Brighton, UK.

Sonia Johnson (S)

Faculty of Brain Sciences, University College London, London, UK.

Jesus Perez (J)

Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.

Rosa Ritunnano (R)

Warwick Medical School, University of Warwick, Coventry, UK.

Andrew Thompson (A)

Warwick Medical School, University of Warwick, Coventry, UK.

Rachel Upthegrove (R)

School of Psychology, University of Birmingham, Birmingham, UK.

Jon Wilson (J)

Norfolk and Suffolk NHS Foundation Trust, Norwich, UK.

Alex Kenny (A)

Patient Advisory Board, King's College London, London, UK.

Iris Isok (I)

Patient Advisory Board, King's College London, London, UK.

Eileen M Joyce (EM)

UCL Queen Square Institute of Neurology, University College London, London, UK.

Til Wykes (T)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. til.wykes@kcl.ac.uk.

Classifications MeSH