Abstract
The period of time following discharge from an inpatient setting presents a unique window of opportunity for people with psychosis to engage in psychological treatment. In England, The National Institute for Health and Care Excellence (NICE) guidelines outline that every person with a schizophrenia diagnosis should be offered individual Cognitive Behavioural Therapy for psychosis (CBTp) and Family Intervention (FI). This study aimed to explore rates of offer and receipt of NICE recommended therapies for adults with a schizophrenia spectrum disorder diagnosis in the year following discharge from an inpatient unit. We then investigated possible predictors of therapy offer and receipt. We used a large electronic healthcare records database to perform a secondary data analysis. A generalised linear regression model was used to explore possible predictors. Overall, our results showed low rates of offer and receipt of recommended therapies (Any recommended therapy (CBT only, FI only or CBT + FI) received = 39(8%), offered = 70(15%)). Predictor variable results were identified and discussed. The low level of offer and receipt of recommended therapies is concerning given the recommendations in the NICE guidelines for people with psychosis. Our study highlighted the need for more consistent and reliable procedures for recording this information. Further investigation into the reasons for low levels of implementation overall is important to aid the development of recommendations for how this can be improved.
| Original language | English |
|---|---|
| Pages (from-to) | 507-513 |
| Number of pages | 7 |
| Journal | Journal of Mental Health |
| Volume | 33 |
| Issue number | 4 |
| Early online date | 16 Sept 2024 |
| DOIs | |
| Publication status | Published - 31 Dec 2024 |
Acknowledgements
We would like to acknowledge the support from the Oxford CRIS team; Suzanne Fisher, CRIS Research Informatics Systems Analyst, Lulu Kane, CRIS Research Informatics Administrator, Adam Pill, CRIS Academic Support and Information Analyst and Tanya Smith, CRIS Head of Research Informatics. We would also like to acknowledge the support from the Akrivia Health team; Avinash Bakshi, DevOps Engineer and David Price, Technical Project Manager. Many thanks to Andrew Chapman, MASH Statistical Advisory Service Senior Teaching Fellow, for his help and support in designing and implementing the analysis plan.Funding
This study was supported by the Akrivia Research Platform, funded by Akrivia Health, using data, systems and support from the CRIS team of the NIHR Oxford Health Biomedical Research Centre (BRC-1215-20005).