Researchers and policymakers recognize that leveraging data routinely collected in clinical practice can support improved research and patient care. Embedding elements of clinical trials, such as patient identification and trial data acquisition, into clinical practice can enable research access and increase efficiencies by reducing duplication of trial and care activities. Yet, cultural, administrative, and data barriers exist. The Clinical Trials Transformation Initiative (CTTI) developed evidenced-based, multi-partner recommendations to facilitate embedding interventional, randomized trials into clinical practice.

We conducted in-depth interviews (IDIs) with trial designers and implementers to describe their motivations for embedding interventional, randomized trials into clinical practice. Additionally, we aimed to identify barriers and potential solutions to implementing such trials. Interviews were audio-recorded and analyzed using applied thematic analysis.

We conducted 16 IDIs with 18 trial designers and implementers. Motivations for embedding trials into clinical practice included the desire to implement a learning health system and evaluate trials in real-world settings. Barriers to trial implementation focused on limited staff time and availability, the lack of buy-in, and difficulties using electronic health record data. Solutions included minimizing healthcare settings and patient burden, having a sufficient data and research infrastructure in place, and creating a culture change.

The results informed CTTI recommendations to facilitate the design and operation of embedded trials. These recommendations emphasize areas where sponsors and investigators can rethink the design and conduct of clinical trials to ultimately realize an aligned system of research and care.

Many male prisoners have significant mental health problems, including anxiety and depression. High proportions struggle with homelessness and substance misuse.

This study aims to evaluate whether the Engager intervention improves mental health outcomes following release.

The design is a parallel randomised superiority trial that was conducted in the North West and South West of England (ISRCTN11707331). Men serving a prison sentence of 2 years or less were individually allocated 1:1 to either the intervention (Engager plus usual care) or usual care alone. Engager included psychological and practical support in prison, on release and for 3–5 months in the community. The primary outcome was the Clinical Outcomes in Routine Evaluation Outcome Measure (CORE-OM), 6 months after release. Primary analysis compared groups based on intention-to-treat (ITT).

In total, 280 men were randomised out of the 396 who were potentially eligible and agreed to participate; 105 did not meet the mental health inclusion criteria. There was no mean difference in the ITT complete case analysis between groups (92 in each arm) for change in the CORE-OM score (1.1, 95% CI –1.1 to 3.2, P = 0.325) or secondary analyses. There were no consistent clinically significant between-group differences for secondary outcomes. Full delivery was not achieved, with 77% (108/140) receiving community-based contact.

Engager is the first trial of a collaborative care intervention adapted for prison leavers. The intervention was not shown to be effective using standard outcome measures. Further testing of different support strategies for prison with mental health problems is needed.

People with serious mental illness (SMI) experience higher mortality partially attributable to higher long-term condition (LTC) prevalence. However, little is known about multiple LTCs (MLTCs) clustering in this population.

People from South London with SMI and two or more existing LTCs aged 18+ at diagnosis were included using linked primary and mental healthcare records, 2012–2020. Latent class analysis (LCA) determined MLTC classes and multinominal logistic regression examined associations between demographic/clinical characteristics and latent class membership.

The sample included 1924 patients (mean (s.d.) age 48.2 (17.3) years). Five latent classes were identified: ‘substance related’ (24.9%), ‘atopic’ (24.2%), ‘pure affective’ (30.4%), ‘cardiovascular’ (14.1%), and ‘complex multimorbidity’ (6.4%). Patients had on average 7–9 LTCs in each cluster. Males were at increased odds of MLTCs in all four clusters, compared to the ‘pure affective’. Compared to the largest cluster (‘pure affective’), the ‘substance related’ and the ‘atopic’ clusters were younger [odds ratios (OR) per year increase 0.99 (95% CI 0.98–1.00) and 0.96 (0.95–0.97) respectively], and the ‘cardiovascular’ and ‘complex multimorbidity’ clusters were older (ORs 1.09 (1.07–1.10) and 1.16 (1.14–1.18) respectively). The ‘substance related’ cluster was more likely to be White, the ‘cardiovascular’ cluster more likely to be Black (compared to White; OR 1.75, 95% CI 1.10–2.79), and both more likely to have schizophrenia, compared to other clusters.

The current study identified five latent class MLTC clusters among patients with SMI. An integrated care model for treating MLTCs in this population is recommended to improve multimorbidity care.