Persistent postsurgical pain (PPSP) affects up to 15% of patients after major surgery, impairing physical function, quality of life and increasing risk for long-term opioid use. Current PPSP prediction models rely on static or retrospective data and fail to incorporate dynamic perioperative factors. The Personalised Prediction of Persistent Postsurgical Pain (P5) study aims to develop individualised, multimodal prediction models by integrating preoperative behavioural, psychophysical and neurocognitive assessments and high-frequency symptom monitoring.

P5 is a prospective, single-centre cohort study enrolling 2500 adults aged 18–75 undergoing major surgery at a tertiary academic hospital. Participants complete baseline surveys, cognitive testing and quantitative sensory testing preoperatively. Ecological momentary assessments (EMAs) are collected via smartphone three times per day through 30 days postoperatively, capturing pain, mood, catastrophising and medication use. Participants are assessed on postoperative day 1 and complete online surveys at 3 and 6 months, evaluating pain persistence, interference, neuropathic symptoms and related outcomes. Clinical and perioperative data are extracted from the electronic health record. The primary outcome is PPSP at 3 months. Predictive models will be developed using supervised machine learning and dynamic structural equation modelling to extract latent features from EMA data. Model performance will be assessed using area under the receiver operating characteristic curve, area under the precision-recall curve and SHapley Additive exPlanations for interpretability.

This study has received ethics approval from the Washington University School of Medicine Institutional Review Board #202101123. Informed consent is required. Results will be submitted for publication in peer-reviewed journals and presented at research conferences.

NCT04864275.

Targeted biologic therapies have transformed outcomes for individuals with psoriasis, a common immune-mediated inflammatory skin disease. The widespread use of these highly effective treatments has led to a growing number of individuals with clear or nearly clear skin remaining on continuous, long-term treatment. Personalised strategies to minimise drug exposure may sustain long-term disease control while reducing treatment burden, associated risks and healthcare costs. This study aims to evaluate the feasibility of a definitive pragmatic effectiveness trial of two personalised dose minimisation strategies compared with continuous treatment (standard care) in adults with well-controlled psoriasis receiving the exemplar biologic risankizumab.

This is a multicentre, assessor-blind, parallel group, open-label randomised controlled feasibility trial in the UK, evaluating two personalised biologic dose minimisation strategies for psoriasis. 90 adults with both physician-assessed and patient-assessed clear or nearly clear skin on risankizumab monotherapy for ≥12 months will be randomised in a 1:1:1 ratio to (1) patient-led ‘as-needed’ treatment, where risankizumab is administered at the first sign of self-assessed psoriasis recurrence, (2) therapeutic drug monitoring-guided treatment, with personalised dosing intervals determined using a pharmacokinetic model or (3) continuous treatment as per standard care, for 12 months. Participants will be invited to submit self-reported outcomes and self-taken photographs every 3 months using a bespoke remote monitoring system (mySkin app) and will attend an in-person assessment at 12 months. They may also request additional patient-initiated follow-up appointments during the trial if needed. The primary outcome is the practicality and acceptability of the two personalised biologic dose minimisation strategies, assessed as a composite measure including recruitment and retention rates, adherence to the assigned strategies and acceptability to both patients and clinicians. The feasibility of collecting healthcare cost and resource utilisation data will also be evaluated to inform a future cost-effectiveness analysis. A nested qualitative study, involving semistructured interviews with patients and clinicians, will explore perspectives on the personalised biologic dose minimisation strategies. These findings will inform the design of a future definitive trial.

This study received ethical approval from the Seasonal Research Ethics Committee (reference 24/LO/0089). Results will be disseminated through scientific conferences, peer-reviewed publications and patient/public engagement events. Lay summaries and infographics will be codeveloped with patient partners to ensure the findings are accessible for the wider public.

ISRCTN17922845.

Patient engagement (PE), or a patient’s participation in their healthcare, is an important component of comprehensive healthcare delivery, yet there is not an existing, publicly available, measurement tool to assess PE capacity and behaviours. We sought to develop a survey to measure PE capacity and behaviours for use in ambulatory healthcare clinics.

Measure development and psychometric evaluation.

A total of 1180 adults in the USA from 2022 to 2024, including 1050 individuals who had indicated they had seen a healthcare provider in the prior 12 months who were recruited nationally via social media across three separate samples; 8 patient advisors and healthcare providers recruited from a large, midwestern US Academic Medical Center; and 122 patients recruited from five participating ambulatory clinics in the Midwestern USA.

An initial survey was developed based on a concept mapping approach with a Project Advisory Board composed of patients, researchers and clinicians. Social media was then used to recruit 540 participants nationally (Sample 1) to complete the initial, 101-item version of the survey to generate data for factor analysis. We conducted exploratory and confirmatory factor analyses to assess model and item fit to inform item reduction, and subsequently conducted cognitive interviews with eight additional participants (patient advisors and providers; Sample 2), who read survey items aloud, shared their thoughts and selected a response. The survey was revised and shortened based on these results. Next, a test–retest survey, also administered nationally via another round of social media recruitment, was administered two times to a separate sample (n=155; Sample 3), 2 weeks apart. We further revised the survey to remove items with low temporal stability based on these results. For clinic administration, research staff approached patients (n=122; Sample 4) in waiting rooms in one of five ambulatory clinics to complete the survey electronically or on paper to determine feasibility of in-clinic survey completion. We engaged in further item reduction based on provider feedback about survey length and fielded a final revised and shortened survey nationally via a final round of social media recruitment (n=355; Sample 5) to obtain psychometric data on this final version.

Cronbach’s alphas, intraclass correlations (ICCs), Comparative Fit Index (CFI), root mean square error of approximation (RMSEA), standardised root mean squared residual (SRMR).

The final PE Capacity Survey (PECS) includes six domains across two scales: ‘engagement behaviours’ (ie, preparing for appointments, ensuring understanding, adhering to care) and ‘engagement capacity’ (ie, healthcare navigation resources, resilience, relationship with provider). The PECS is 18 questions, can be completed during a clinic visit in less than 10 minutes, and produces scores which demonstrate acceptable internal consistency reliability (α=0.72 engagement behaviours, 0.76 engagement capacity), indicating items are measuring the same overarching construct. The scales also had high test–retest reliability (ICC=0.82 behaviours, 0.86 capacity), indicating stability of response over time, and expected dimensionality with high fit indices for the final scales (behaviours: CFI=0.97; RMSEA=0.07; SRMR=0.05; capacity: CFI=0.99; RMSEA=0.06; SRMR=0.06), indicating initial evidence of construct validity.

The PECS is the first known measure to assess patients’ capacity for engagement and represents a step toward informing interventions and care plans that acknowledge a patient’s engagement capacity and supporting engagement behaviours. Future work should be done to validate the measure in other languages and patient populations, and to assess criterion-related validity of the measure against patient outcomes.

There are estimated to be 3.4 million patients in the UK living after a diagnosis of cancer. We know very little about their quality of life or healthcare usage. Patient-reported outcome measures (PROMs) are tools which help to translate a patient’s quality of life into measurable categories, but how to do this at scale remains underexplored. The study employs a randomised design to assess different engagement strategies for optimising participation, data linkage and questionnaire completion in Northwest London and then nationally, with appropriate research approvals.

We have designed and implemented an online, patient-completed, randomised observational trial. We will pilot it in Northwest London before national roll-out, using initially the General Practice (GP) record of a cancer diagnosis and then exploring the use of social media. The primary objective is to explore the feasibility of recruiting participants via self-identification or contact from the primary care research network and obtaining consent to link participants’ PROMs responses to their cancer registry records. Data collection occurs through a secure platform, with participants directly responsible for data entry. There is no formal target sample size because this is a feasibility study, and we want to explore how many patients we can recruit. Analyses will be conducted using descriptive statistics, repeated measures multilevel modelling and machine learning techniques. If a substantial difference in responses between randomisation arms is detected, ineffective strategies will be removed. If no clear difference is observed, recruitment will continue with periodic reviews based on response rates and data completeness.

The Study Coordination Centre has obtained approval from the London—Surrey Research Ethics Committee and Health Research Authority. We will publish and disseminate the results in local, national and international meetings, in peer-reviewed journals, on social media and on websites.

It has been registered under ‘Investigating Digital Outcomes for Cancer Survivors in the Community’ (NCT06095024).

NCT06095024: Investigating Digital Outcomes for Cancer Survivors in the Community.

Palmoplantar pustulosis (PPP) is a rare, debilitating inflammatory skin disease involving painful pustules on the palms and soles. Janus kinase (JAK) inhibitors target pathways relevant to PPP disease biology but also confer a risk of major adverse cardiovascular events and malignancy in certain ‘at risk’ individuals; this includes those with PPP given prevalent smoking and cardiovascular risk factors in the PPP population. The feasibility of JAK inhibitor therapy for PPP requires assessment prior to a randomised controlled trial evaluation of drug efficacy and safety for this indication.

The ‘Janus kinase inhibitors in palmoplantar pustulosis: a mixed-methods feasibility’ trial is an open-label, single-centre, single-arm, mixed-methods feasibility trial of JAK inhibition in PPP (REC reference: 24/NE/0147; ISRCTN61751241). Participants (n=20) will receive 8 weeks of treatment with the JAK inhibitor upadacitinib (‘Rinvoq’, 30 mg, once daily). Qualitative semistructured interviews (up to n=40) will be undertaken with trial participants, trial decliners and healthcare professionals. The primary outcome will be a composite assessment of feasibility across three domains: recruitment, adherence and acceptability, using a mixed-methods analysis approach. Secondary objectives include the identification of trial recruitment optimisation strategies, using the ‘Quintet Recruitment Intervention’, and the generation of an indication of effect size on disease severity (measured using the Palmoplantar Pustulosis Psoriasis Area and Severity Index) to inform future sample size calculations. Historic placebo control data from the Anakinra for Pustular Psoriasis: Response in a Controlled Trial (National Institute of Health and Social Care reference: 13/50/17; Research Ethics Commitee reference: 16/LO/0436) will be used as the effect size comparator. Study recruitment will be undertaken over a 24-month period, commencing in November 2024.

This study has been approved by the Newcastle North Tyneside 2 Research Ethics Committee, 24/NE/0132. Our findings will inform the feasibility of a future adequately powered RCT evaluating the efficacy of JAK inhibitor therapy in PPP.

ISRCTN61751241.