Social prescribing for patients with severe mental illnesses: an English primary care longitudinal observational study
Burton, A.; Launders, N.; Taylor, A. E.; Richards-Belle, A.; Osborn, D.; Tierney, S.; Fancourt, D.; Bu, F.
Show abstract
Background People diagnosed with severe mental illnesses (SMI) including bipolar disorder, schizophrenia and psychosis are disproportionately exposed to adverse social determinants of health, contributing to premature morbidity and mortality. Social prescribing aims to address social risk factors for poor health by linking patients in primary care to community activities. However, whether people with SMI access social prescribing through primary care remains unexplored. Aims To describe prevalence of, and sociodemographic characteristics associated with, social prescribing consultations in patients with SMI in primary care. Methods Using the UK Clinical Practice Research Datalink, we identified patients aged 18+ with a diagnosis of SMI between 2004-2019. We calculated the percentage of patients with SMI who received a social prescribing consultation between 2019-2023 and used logistic regression to examine associations between sociodemographic, health-related factors and social prescribing consultations and refusals. We used fixed effects analysis to determine whether a new diagnosis of SMI made between 2019-2023 was associated with an increased odds of receiving a social prescribing consultation. Results Among 112,334 patients with SMI, 0.8% received a social prescribing consultation in 2019 increasing to 9.5% in 2023. Between 2020-2023, older age (OR=1.18-2.34), being female (OR=1.16-1.31) and living in more deprived areas (OR=1.14-1.49) were associated with higher odds of receiving a social prescribing consultation amongst patients with SMI. Across all years, patients with SMI and depression (OR=1.32-1.92), diabetes (OR=1.19-1.35) or obesity (OR=1.17-1.54) also had increased odds. In 140,514 patients with time-varying SMI status, a new diagnosis of SMI was associated with higher odds of receiving a social prescribing consultation (OR=1.39, 95% CI 1.26-1.53). Conclusion Since 2019, social prescribing consultations among patients with SMI in primary care have increased and are reaching those in areas of higher deprivation and with greater health needs. Strategies to remove barriers to consultations among younger adults and males are still needed
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Antipsychotic management in general practice: serial cross-sectional study (2011-2020) 94%
- Primary care consultation length by deprivation and multimorbidity in England 89%
- Preconception indicators and associations with health outcomes reported in UK routine primary care data: a systematic review 88%
Similar papers in this journal
- Effects of the COVID-19 pandemic on the mental health of clinically extremely vulnerable children and children living with clinically extremely vulnerable people in Wales: A data linkage study 93%
- Mental health in the UK during the COVID-19 pandemic: early observations 93%
- While they wait: A cross-sectional survey on wait times for mental health treatment for anxiety and depression for Australian adolescents 92%
Similar papers in this journal
- Improving sleep after stroke: a randomised controlled trial of digital cognitive behavioural therapy for insomnia 85%
- Insomnia symptoms and risk of bloodstream infections: prospective data from the prospective population-based HUNT Study, Norway 84%
- Sleep improvement for metabolic health: A feasibility trial of a digital sleep treatment in people with insomnia and non-diabetic hyperglycaemia. 84%
Similar papers in this journal
- One year later: Tracking the continued growth of mental illness stigma in England 94%
- Persistent health inequalities over 20 years among adults with intellectual disabilities who display behaviours that challenge: Evidence from English primary care records 93%
- The impact of the COVID19 pandemic and initial period of lockdown on the mental health and wellbeing of UK adults 92%
Similar papers in this journal
- Ethnic inequalities in compulsory psychiatric hospital detentions during UK COVID-19 'lockdowns': A Regression Discontinuity Design in time study 95%
- Analysis of diagnosis instability in electronic health records reveals diverse disease trajectories of severe mental illness 93%
- Mental health during the COVID-19 pandemic in two longitudinal UK population cohorts 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.