Psoriatic arthritis (PsA) is a form of inflammatory arthritis linked to psoriasis. Previous research from the UK has found that many people feel unsupported when diagnosed with PsA and lack confidence in managing their condition. This realist review aims to understand what works and does not work for whom and in what circumstances, in relation to healthcare professionals engaging with people to support them in developing self-management skills.

This protocol was developed by defining the scope of the review, using a brief directed literature review to support discussion by an expert group of researchers, healthcare professionals and a patient partner. A theoretical domains framework was generated, consisting of nine initial programme theories. These were further refined with input from Patient and Public Involvement and Engagement groups and used to develop a database search strategy.

A systematic search of MEDLINE, CINAHL, Embase, Emcare and APA PsycINFO will be carried out, supplemented by citation tracking, exploration of grey literature and a mixed methods survey of rheumatology health professionals. Data selection will be performed by a minimum of two reviewers and data from included sources will be extracted using a template. Data will be synthesised narratively with respect to the identified initial programme theories, using these data to refine or refute these theories. This will generate refined programme theories to explain what works for whom and in what circumstances.

Ethical approval for the health professionals survey was granted through the Research Ethics Committee, University of the West of England (Project ID: 10991848). Outputs will be disseminated to the research community through conference presentations and a peer-reviewed journal article. The strategy for sharing outputs with patients and health professionals will be discussed and agreed with knowledge user groups.

Post-intensive care syndrome affects up to 70% of adult intensive care unit (ICU) survivors, with ICU-acquired weakness contributing substantially to long-term disability. Despite evidence supporting early and structured rehabilitation to enhance physical recovery, targeted upper-limb rehabilitation approaches in the ICU remain comparatively underexplored. This scoping review will map and summarise existing evidence on upper-limb weakness and rehabilitation strategies delivered by healthcare professionals for critically ill adults.

This scoping review protocol has been developed in accordance with the Joanna Briggs Institute methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews, ensuring transparent and comprehensive reporting. Searches will be conducted in MEDLINE (Ovid), CINAHL (EBSCO), Embase, Scopus and the Cochrane Central Register of Controlled Trials (CENTRAL). The search will include studies published between March 2009 and August 2025, aligning with National Institute of Clinical Excellence (NICE) Guideline CG83 (2009), which marked a major policy shift in ICU rehabilitation practice. Quantitative data will be summarised descriptively (eg, frequencies and proportions), while qualitative data will undergo thematic synthesis to identify patterns in experiences, perceptions and implementation of upper-limb rehabilitation. Grey literature (eg, OpenGrey and relevant conference proceedings) will also be screened to reduce publication bias. Rayyan AI software will be used to manage citation screening and reviewer collaboration; no artificial intelligence-assisted decision tools will be used to determine study inclusion.

As this review will synthesise previously published data, ethical approval is not required. Results will be disseminated through peer-reviewed publication, conference presentations and open-access platforms. Findings from this review will inform the development of evidence-based ICU rehabilitation guidelines and highlight priorities for future research to improve upper-limb recovery in critically ill adults.

Open Science Framework (osf.io/j86nf).