Abstract
BACKGROUND: Progress towards stratified care for anxiety and depression will require the identification of new predictors. We collected data on retrospectively self-reported therapeutic outcomes in adults who received psychological therapy in the UK in the past ten years. We aimed to replicate factors associated with traditional treatment outcome measures from the literature.
METHODS: Participants were from the Genetic Links to Anxiety and Depression (GLAD) Study, a UK-based volunteer cohort study. We investigated associations between retrospectively self-reported outcomes following therapy, on a five-point scale (global rating of change; GRC) and a range of sociodemographic, clinical and therapy-related factors, using ordinal logistic regression models (n = 2890).
RESULTS: Four factors were associated with therapy outcomes (adjusted odds ratios, OR). One sociodemographic factor, having university-level education, was associated with favourable outcomes (OR = 1.37, 95%CI: 1.18, 1.59). Two clinical factors, greater number of reported episodes of illness (OR = 0.95, 95%CI: 0.92, 0.97) and higher levels of personality disorder symptoms (OR = 0.89, 95%CI: 0.87, 0.91), were associated with less favourable outcomes. Finally, reported regular use of additional therapeutic activities was associated with favourable outcomes (OR = 1.39, 95%CI: 1.19, 1.63). There were no statistically significant differences between fully adjusted multivariable and unadjusted univariable odds ratios.
CONCLUSION: Therapy outcome data can be collected quickly and inexpensively using retrospectively self-reported measures in large observational cohorts. Retrospectively self-reported therapy outcomes were associated with four factors previously reported in the literature. Similar data collected in larger observational cohorts may enable detection of novel associations with therapy outcomes, to generate new hypotheses, which can be followed up in prospective studies.
| Original language | English |
|---|---|
| Article number | 719 |
| Number of pages | 9 |
| Journal | BMC Psychiatry |
| Volume | 22 |
| Early online date | 18 Nov 2022 |
| DOIs | |
| Publication status | Published - Dec 2022 |
Bibliographical note
Funding Information:TCE and GB are part-funded by a program grant from the UK Medical Research Council (MR/V012878/1). CR is supported by a grant from Fondation Peters to TCE and GB. AJP is supported by an ESRC studentship. GK is funded by an MRC Clinical Research Training Fellowship (MR/N001400/1). MS is funded by an NIHR Maudsley Biomedical Research Centre studentship. CH acknowledges funding from Lundbeckfonden (R276-2018-4581). JB was funded on a clinical research fellowship from the Wellcome Trust (201292/Z/16/Z). JM is funded by the NIHR Maudsley Biomedical Research Centre and the Lord Leverhulme Charitable Grant (Professor Robin Murray). ARTK is funded by an NIHR Maudsley Biomedical Research Centre studentship. The authors also acknowledge use of the research computing facility at King’s College London, Rosalind ( https://rosalind.kcl.ac.uk ), which was part-funded by capital equipment grants from Guy’s and St Thomas’ Charity (TR130505) and Maudsley Charity (award 980).
Funding Information:
We thank all GLAD Study volunteers for their participation, and gratefully acknowledge the National Institute for Health and Care Research (NIHR) BioResource, NIHR BioResource centres, NHS Trusts and staff for their contribution. We also acknowledge King’s College London, South London and Maudsley NHS Trust and King’s Health Partners. We thank the National Institute for Health and Care Research, NHS Blood and Transplant, and Health Data Research UK as part of the Digital Innovation Hub Programme. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
Publisher Copyright:
© 2022, The Author(s).
Keywords
- Cognitive behavioral therapy
- Counselling
- Minimal phenotyping
ASJC Scopus subject areas
- Psychiatry and Mental health
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