To evaluate the feasibility of conducting a full-scale randomised controlled trial to assess the clinical and cost-effectiveness of the MAINTAIN intervention, designed to support recovery and independence following a fall among people living with dementia.

Pilot cluster randomised controlled trial (c-RCT).

Community-based healthcare services across six UK sites representing primary and secondary care settings.

31 participant-carer dyads were recruited. Eligibility criteria included a diagnosis of dementia and a recent fall. Exclusion criteria included severe comorbidity precluding participation. The consent rate was 84%, and retention at follow-up was 81%.

The MAINTAIN intervention comprised tailored, home-based therapy sessions delivered by trained professionals, focusing on functional recovery, confidence and re-engagement in daily activities, compared with usual care. The intervention was delivered over 12 weeks with booster sessions up to week 24, with the full trial period lasting 28 weeks.

Feasibility outcomes included recruitment and retention rates, intervention adherence and data completeness for outcome and economic measures. Exploratory outcomes assessed functional performance and quality of life. Feasibility outcomes were assessed at baseline, 12 weeks and 28 weeks.

Recruitment occurred over an 8-month period (September 2023–April 2024) across six UK sites. Most intervention participants (89%) attended at least 60% of planned sessions. Completion rates for outcome and economic data were high, indicating strong acceptability and feasibility of both the intervention and trial procedures.

The pilot c-RCT demonstrated that recruitment, retention and intervention delivery were feasible and well accepted. Findings support progression to a definitive trial to evaluate the effectiveness and cost-effectiveness of the MAINTAIN intervention.

ISRCTN16413728 (International Standard Randomised Controlled Trial Number registry).

To explore how pre-existing conditions affect the diagnostic process for potential cancer in primary care patients.

Qualitative interview study using thematic analysis underpinned by a critical realist approach.

Primary care practices recruited through four Clinical Research Networks and UK health charities across England.

Interviews were conducted with 75 patients with one or more pre-existing conditions (anxiety/depression, diabetes, obesity, chronic obstructive pulmonary disease, Parkinson’s disease or multiple long-term conditions (four or more)) and 28 primary care professionals (general practitioners and nurses).

The study identified legitimacy as a central theme influencing patient trajectories in the health system while trying to receive a diagnosis for symptoms with which they presented to primary care. Patients engaged in self-triage to determine whether symptoms were ‘legitimate’ enough to seek care. Subsequent triaging steps (by receptionists, nurses and online systems) acted as gatekeepers, with decisions influenced by effectiveness of describing the symptom and subjective impressions. During consultations, clinicians relied on a mix of symptom narrative clarity, medical history and objective ‘metrics’ (eg, blood results, family history) to determine legitimacy for further investigations. Pre-existing conditions could either lower the threshold for referrals or obscure potential cancer symptoms. The stigma associated with mental health diagnoses often undermined perceived legitimacy and contributed to delays.

Legitimacy is continuously negotiated throughout the diagnostic pathway. It is shaped by social, moral and biomedical judgements. To promote early cancer diagnosis for patients with pre-existing conditions, clinicians must make legitimacy assessments explicit, reduce stigma especially around mental health and standardise triage processes.

Public involvement in mental health research enhances research quality. The use of citizen science methods in mental health research has been described as a conclusion of a movement towards increased public involvement; however, this field is in its early stages of development. Our objective was to create a theory of change (ToC) for how citizen science can be used to enhance mental health research quality.

Iterative consultation with the stakeholders of an existing citizen mental health science study, that is, change for citizen science to achieve co-production at scale (C-STACS: https://www.researchintorecovery.com/research/c-stacs/)

We co-developed a ToC through an iterative consultation with C-STACS stakeholders who were (a) representatives of mental health community organisations (n=10), individuals with public involvement experience (n=2) and researchers (n=5). In keeping with established ToC practice, entities were identified, including long-term impacts, outcomes needed to create an impact, stakeholder assumptions and indicators for tracking progress.

A desired primary long-term impact of greater co-production of research was identified between researchers and members of the public, which would create a secondary impact of enhancing public capacity to engage in citizen mental health science. We proposed long-term outcomes needed to enable this impact: (1) greater co-production of research objectives and pathways between researcher and the public, (2) greater embedment of citizen mental health science into funder processes (eg, the creation of specific funding calls for citizen mental health science proposals, (3) greater clarity on the boundaries between citizen science and other participatory approaches (eg, so that there is not loss of impact due to conceptual confusion between these, (4) increased knowledge around effective frameworks to enable mass public participation and (5) greater availability of technology platforms, enabling safe and accessible engagement with citizen mental health science projects.

The proposed ToC is grounded in the C-STACS project, but intended to be broadly applicable. It allows the continued formation of a community of practice around citizen mental health science and should be reviewed, as greater knowledge is developed on how citizen mental health science creates change.