Medication errors pose a significant threat to public health. Despite efforts by health agencies and the implementation of various interventions, such as staff training, medication reconciliation and automation, the persistence of these incidents highlights the need for more effective, scalable solutions. In recent years, machine learning (ML) has emerged as a promising approach in healthcare, offering potential to detect and predict medication errors through data-driven insights. This scoping review aims to systematically map the existing literature on ML-based approaches to predict or detect medication errors across all stages of the medication use process. The review seeks to identify the range of ML applications in this domain, characterise methodological trends and highlight current knowledge gaps. The findings will provide a structured and accessible overview for both clinicians and researchers, supporting the development of safer, more data-informed medication practices.

The review will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guideline. Structured searches will be performed in PubMed, Embase and Web of Science, covering publications from 1 January 2015 to 28 April 2025. Predefined inclusion and exclusion criteria will be used to identify eligible studies. Key information—including ML models, data sources and type, evaluation methods and clinical contexts—will be extracted and analysed using descriptive statistics, visualisations, thematic analysis and narrative synthesis.

This study involves a review of existing literature and does not involve human participants, personal data or unpublished secondary data. As such, ethical approval was not required. All data analysed were obtained from publicly available sources. Findings of the scoping review will be disseminated through professional networks, conference presentations and publications in scientific journals.

This protocol has been registered on the Open Science Framework (https://doi.org/10.17605/OSF.IO/38SFY).

Cancer in adolescents and young adults (AYAs; ages 15–39 years) is a rising global epidemic. Yet, AYAs remain an understudied population, and little is known about what research topics should be prioritised according to those with lived experience. The AYA Cancer Priority Setting Partnership (PSP) was established to identify the top 10 research priorities for AYA cancer in Canada according to patients, caregivers, and clinicians.

This project followed the James Lind Alliance (JLA) Priority Setting Partnership (PSP) methodology that included two national cross-sectional surveys and a final priority setting workshop following an adapted nominal group technique.

A national sample was recruited to participate from across Canada.

Participants were patients, caregivers, and clinicians with lived personal and/or professional experience of AYA cancer in Canada.

In the first survey, open-ended responses were collected from participants about questions they would like answered by research. Responses were collated into overarching summary questions and a literature search was undertaken to verify if questions were true uncertainties and not fully answered by existing evidence. Unanswered questions were ranked by participants in a second survey. The top-ranked questions were prioritised through consensus at the final priority setting workshop. The final outcome was the top 10 priorities for AYA cancer research in Canada.

In the initial survey, 1916 potential research questions were submitted by 275 patients, caregivers, and clinicians. Following data processing, summary question formation, and the evidence check, 58 questions were put forward for interim prioritisation in a second survey (n=285 patients, caregivers, and clinicians). The top 20 questions from the interim prioritisation were ranked at the final priority setting workshop attended by a diverse group of 23 patients, caregivers and clinicians from across Canada. The resulting top 10 priorities reflect topics across the cancer continuum including: diagnostic delays, screening and early detection, novel therapies, psychosocial impacts, end-of-life concerns, and survivorship issues.

This patient-directed research agenda will guide researchers, funding agencies, and policymakers to ensure that future research is aligned with what matters most to the AYA cancer community.

Risk reduction training for UK care home staff is limited, not standardised and challenging to implement. Virtual reality (VR) is an immersive, engaging method of education delivery that is being adopted in health and social care. VR may be an effective education tool in care homes, but this research has yet to be conducted.

The VR-CARE project aims to create a new VR risk reduction training programme for care homes that combines hand hygiene and falls prevention modules, and to evaluate this through a pilot trial to inform a future randomised controlled trial (RCT).

There are two research phases with patient and public involvement and engagement (PPIE) activities embedded throughout. Care home stakeholders are collaborating to design the training and toolkit, oversee methods, review resources for accessibility, support recruitment and ensure the project meets the needs of the workforce and positively impacts resident care.

In phase 1, we will use a mixed-methods and user-centred design approach to develop the VR training and an accompanying implementation toolkit needed to deliver it. The training will be developed and tested by 15 care home staff across three rounds to identify and inform changes that maximise usability and acceptability. We will conduct up to 20 interviews with staff from VR companies and care homes to support toolkit development.

Phase 2 is a mixed-methods pilot cluster RCT, with a waitlist control and process evaluation with up to 80 unregistered staff members from six North England care homes, to develop the measures and methods to inform a future trial. The process evaluation will generate knowledge about VR as a training mechanism in care homes. This phase will focus on the practicality of using VR, broader impacts (eg, on residents), contextual considerations and how it might be scaled up.

The University of Manchester Proportionate University Research Ethics Committee has approved phase 1 (Reference: 2025-24416-44642). We will obtain further approval before commencing phase 2.

Outputs will include user-friendly and acceptable VR risk reduction training for care homes, accompanied by an implementation toolkit adaptable for other VR training in social care settings. Materials (eg, training overviews, infographics and videos) will be developed to support uptake. Findings will be presented at conferences and published in journals. Lay summaries will be co-created with our PPIE group, and additional dissemination methods will be co-developed to broaden reach.

Early-life socioeconomic status (SES) increases the risk of poor mental health outcomes in adulthood. However, the mechanistic pathways underlying this relationship remain poorly understood. While addressing socioeconomic inequalities remains a long-term goal, identifying specific mediating pathways could reveal more immediate opportunities for effective interventions.

Using linked administrative data from New South Wales, Australia (1990–2022), we will emulate a target trial examining the relationship between SES at birth and acute mental health admissions and presentations between the ages of 18 and 25 years. An interventional mediation analysis will be used to examine the effect of multiple mediating pathways, including education, housing stability, child protection contact, parental incarceration and justice system involvement, on the outcome. The analysis will estimate direct and indirect interventional effects, quantifying how much of the SES-mental health relationship could be modified by interventions on specific mediators.

This study has received ethics approval from the University of Newcastle (H-2024-0015) and Aboriginal Health and Medical Research Council (2265/24) Human Research Ethics Committees. All dissemination activities will be conducted in accordance with data access agreements and following approval from all relevant data custodians (New South Wales Health System Data Services). Key findings will be communicated to relevant government agencies and policymakers through policy briefs and stakeholder meetings, and publication in appropriate academic journals.

Total alloplastic replacement of the temporomandibular joint (TMJ) is a viable treatment option for severe TMJ disorders (TMDs) unresponsive to conservative approaches, as well as for reconstruction of congenital or acquired TMJ defects. However, clinical data on indications, outcomes, complications and long-term effects remain limited, and no global registry currently exists. This study aims to address this gap by establishing an international registry to collect data from patients undergoing total alloplastic TMJ replacement systematically. The registry will document clinical indications and disease progression, explore relationships between treatments, outcomes and quality of life, identify predictors of favourable outcomes and inform future research.

This international, prospective, multicentre, observational registry will enrol approximately 200 patients with TMD requiring total alloplastic TMJ replacement, with follow-up lasting up to 5 years postoperatively. The data collected will include underlying disease, treatment details, functional outcomes, patient-reported outcomes and procedure-related adverse events. The registry will also monitor patients who decline surgery and record their reasons. All treatments will adhere to the standard of care at each participating centre.

Ethics approval was obtained from the responsible ethics committee (EC) at each participating site prior to TMJ surgery. All patients will be enrolled following an informed consent process approved by the relevant EC. Study results will be disseminated through peer-reviewed publications.

Approving ECs include: Krishnadevaraya College of Dental Sciences and Hospital EC, KCDS/Ethical Comm/54/2022–23; Ethikkommission Nordwest- und Zentralschweiz, 2019–02387; University of Belgrade School of Dental Medicine EC, 36/19; National Videnskabsetisk Komité, 2401881; University of KwaZulu-Natal Biomedical Research EC, BREC/00001592/2020; Etikprövningsmyndigheten, 2019–04477; Ethikkommission Medizinische Hochschule Hannover, 8660_BO_K_2019; Ethik-Kommission an der Medizinischen Fakultät der Universität Leipzig, 080/21-lk; Comité de Ética de la Investigación con Medicamentos Hospital Universitario 12 de Octubre, 19/392; Landesärztekammer Rheinland-Pfalz EC, 2025–18012-andere Forschung/nachberatend; Local Ethical Committee at National Medical and Surgical Centre named after NI Pirogoov, LEC meeting 5; Ethikkommission bei der LMU München, 19–589; Komisja Bioetyczna przy Warmiłsko-Mazurskiej Izbie Lekarskiej w Olsztynie, 12/2021; De Medisch Ethische Toetsings Commissie Erasmus MC, MEC-2019–0696 and Comissão Nacional de Ética em Pesquisa, 3.825.711.

NCT03991728.

Mental health and substance use problems among people released from prison contribute substantially to premature mortality and emergency services demand. Understanding of mental health and substance use-related health service contacts prior to these severe and costly outcomes is limited. We assessed mental health and substance use-related contact with multiple services, comparing rates of contact among people released from prison to a matched general population sample who had not recently been in prison.

To compare rates of health service contacts for mental health and substance use between people released from prison and a matched general population sample.

We conducted a retrospective cohort study using linked administrative data with nationwide coverage. The cohort contained all people released from any Scottish prison in 2015 (exposed group), and a random general population sample matched (ratio 1:5) on sex, age, postcode and deprivation indices, who had no imprisonment in the 5 years prior (unexposed group). We linked individual-level administrative healthcare (prescriptions, outpatient, inpatient, emergency/unscheduled care: 2010–2020), prison (admissions, releases: 2010–2020) and deaths records (2015–2020). We estimated adjusted incidence rate ratios (aIRRs) with 95% CIs using fixed-effects Poisson regression with cluster-robust standard errors, controlling for time-in-community, pre-index mental health and substance use-related health service contacts, and comorbidities. We stratified models by mental health (MH), substance use (SU) and dual diagnosis (attributable to both MH and SU).

Scotland.

We linked records for 8313 people released from prison, and 41 213 matched individuals. Mental health and substance use-related contact rates were significantly higher for people released from prison across all services, and particularly for emergency and unscheduled care. aIRRs for ambulance contacts were MH=7.75 (95% CI 5.76 to 10.42), SU=7.58 (95% CI 5.71 to 10.08), dual diagnosis=8.28 (95% CI 6.50 to 10.55); and accident and emergency department contacts were MH=4.88 (95% CI 3.78 to 6.29) and SU=7.98 (95% CI 5.71 to 11.17). aIRRs for community prescriptions were MH=1.80 (95% CI 1.67 to 1.94), SU=5.95 (95% CI 4.83 to 7.32), dual diagnosis=5.33 (95% CI 3.70 to 7.68); drug and alcohol services were 7.13 (95% CI 6.00 to 8.48); and outpatient attendances were 2.61 (95% CI 2.17 to 3.16). aIRRs for 24-hour unscheduled telephone support were MH=7.63 (95% CI 4.93 to 11.83) and SU=8.29 (95% CI 3.99 to 17.22); and out-of-hours general practice were MH=5.14 (95% CI 3.66 to 7.22), SU=5.89 (95% CI 3.11 to 11.14) and dual diagnosis=8.85 (95% CI 2.94 to 26.63). aIRRs for general/acute hospital admissions and day cases were MH=2.97 (95% CI 1.43 to 6.16), SU=7.85 (95% CI 4.42 to 13.91), dual diagnosis=13.11 (95% CI 7.95 to 21.61); and for psychiatric admissions were MH=3.62 (95% CI 2.39 to 5.49), SU=10.74 (95% CI 6.12 to 18.84) and dual diagnosis=7.74 (95% CI 4.30 to 13.94).

Improved post-release mental health and substance use care is vital for individual and public health. Despite elevated rates of contact with community mental health and substance use services, people released from prison have disproportionately high rates of contact with emergency and unscheduled care services. This suggests that early support is either inadequate or not accessed by those in greatest need.

Policymakers and service providers should consider investment in tailored transitional and post-release intervention at individual and population level, to improve health and thus prevent later high-cost service use and avoidable mortality. Our results also suggest high-quality care must be available and accessible beyond the immediate post-release period to permit sustained engagement or engagement at a later date.

To explore patient and public views and experiences of health professional access to patient health records and advance care planning information to support care at the end of life.

A cross-sectional national online survey of patients and the public using a convergent-parallel approach.

The survey was distributed across the UK by Compassion in Dying and promoted via newsletters and social media channels of the Professional Records Standards Body and NHS England’s digital workstream network. These partners were purposively selected for their active involvement in end-of-life care, including hospices, clinicians and related charities.

A total of 1728 participants from 103 UK counties responded, including people with a terminal condition (n=33), with long-term condition (n=442), who provide or have provided care to a person with a long-term or terminal illness (n=229) and who identified as healthy and interested in planning for the future (n=1024).

Both quantitative data (multiple-choice responses and numerical ratings) and qualitative data (open-ended comments) asking about experiences and views of access to their health and advance care planning information to support their care at the end of life.

Confidence that recorded care preferences would be accessed when needed was low for carers (median=2, IQR 1–4) and moderate for patients (median=3, IQR 1–4). Four themes derived from free-text responses included (1) experience of sharing health information; (2) preparation, communication and understanding; (3) concerns, unknowns and assurance seeking; and (4) preserving dignity and respect: understanding individual contexts.

Respondents acknowledged the opportunity for digital systems to enable access to health and advance care planning information but expressed doubts that professionals would retrieve it when needed, citing past failures. Confidence in record accuracy could be strengthened by patient and carer access. Future research should examine whether such access improves alignment of care with patients’ wishes.

Atrial Fibrillation (AF) is the most common arrhythmia worldwide affecting an estimated 5% of people over the age of 65 and is a leading cause of stroke and heart failure. Identification of patients at risk allows preventative measures and treatment before these complications occur. Conventional risk prediction models are static, do not have flexibility to incorporate dynamic risk factors and possess only modest predictive value. Artificial intelligence and machine learning-powered health virtual twin technology offer transformative methods for risk prediction and guiding clinical decisions.

In this prospective observational study, 1200 patients will be recruited in two tertiary centres. Patients hospitalised with acute illnesses (sepsis, heart failure, respiratory failure, stroke or critical illness) and patients having undergone high-risk surgery (major vascular surgery, upper gastrointestinal surgery and emergency surgery) will be monitored with a patch-based remote wireless monitoring system for up to 14 days. Clinical and electrocardiographic data will be used for modelling the risk of new-onset AF. The primary outcome is episodes of AF >30 s and will be described as ratio of episodes/patient and as percentage of patients having episodes of AF. Secondary outcomes include 30-day and 90-day readmission rates and complications of AF.

The aim of this study is to generate data for the development and validation of health virtual twins predicting onset of AF in an at-risk population. The intelligent monitoring to predict atrial fibrillation (NOTE-AF) study is part of the TARGET project, a Horizon Europe funded programme which includes risk prediction, diagnosis and management of AF-related stroke (https://target-horizon.eu/).

The study has received approval by the Health Research Authority and the National Research Ethics Service (REC reference 24/NW/0170, IRAS project ID: 342528) in the UK and has been registered on clinicaltrials.gov (NCT06600620). Results will be disseminated as outlined in the TARGET protocol to communicate project ideas, activities and results to diverse audiences.

NCT06600620.

Despite the increasing interest in wearable devices for monitoring body temperature in acute hospital settings, their integration into routine clinical workflows remains limited. There is a growing need to map the existing evidence on the use of temperature data generated by wearable devices to enhance our understanding of how these data are monitored, presented and used in clinical practice.

A scoping review of relevant literature from January 2013 to February 2025 will be conducted following the Joanna Briggs Institute scoping review methodology. A search of Medline, Embase, Web of Science, CINAHL and IEEE Xplore Databases will be undertaken using the Population, Concept, Context framework to identify studies that use wearable devices to monitor patients’ body temperature in acute hospital settings to support the management of fever or infections. A pilot search has been conducted to identify key search terms and specific types of wearable devices, followed by analysis of retrieved literature. We will use a two-step screening process to identify eligible articles, starting with title/abstract screening, followed by full-text screening. A hand search of the reference lists and citation lists of eligible articles and identified reviews will be conducted for additional publications that meet the inclusion criteria. Primary studies published in English and Chinese will be included regardless of their design and type of publication. Information on the characteristics of wearable devices, clinical contexts of device usage, strategies of presenting and analysing temperature data, and their integration into clinical workflows will be extracted. In the article presenting the results of the scoping review, we will provide a descriptive synthesis of the findings, supported by visual representations, such as charts, tables and images to describe the current evidence base.

As this is a scoping review, ethical approval is not required. The results will be presented in a peer-reviewed journal article and at healthcare or medical informatics conferences. The findings will provide insights into the interpretation of temperature data generated by wearable devices to support clinical decision-making and inform strategies to facilitate their incorporation into clinical practice.

This scoping review protocol is registered on Open Science Framework (https://osf.io/v6sp8).

There is interest in using predictive models to address non-attendance of healthcare appointments without prior notification. Although several National Health Service (NHS) hospital trusts have piloted predictive models for non-attendance, there is a lack of published evidence in clinical settings.

This mixed-methods evaluation of the pilot of a predictive model intervention in outpatient services aimed to examine (1) the effect of the intervention on patient non-attendance and (2) staff engagement in the delivery of the intervention.

A mixed-methods study across two pilot phases. Quantitative data explored the use and impact of the predictive model on non-attendance. Z-tests were conducted to assess changes to non-attendance rates prepilot and in the two phases. Qualitative ethnographic work included 30 periods of observation and interviews with staff.

Nine outpatient services in an NHS Foundation Trust that volunteered to pilot the predictive model intervention. Qualitative participants were NHS clerical and administrative staff delivering the intervention and service managers.

An off-the-shelf predictive model, consisting of a cloud-based, random forest algorithm, produced a risk score of non-attendance by drawing on information from patients’ electronic health records. Staff in the pilot sites attempted to phone patients with a risk score to remind them of upcoming appointments.

Quantitative analysis showed that in phase 1, there were low volumes of intervention calls made across services, but three of nine outpatient services significantly reduced their non-attendance rate. There was a lower overall call rate in phase 2 among the four remaining participating services. One significantly reduced its non-attendance rate from 20.4% to 19.1% (p

The predictive model intervention was positioned as a simple solution to address a complex problem; however, there were challenges inherent in deployment within a dynamic healthcare setting. The sustainability of the intervention and its impact on patient experience warrants further exploration.

To explore why there is variation in implementation of multifactorial falls prevention practices that are recommended to reduce falls risks for older patients in hospital.

Mixed method, realist evaluation.

Three older persons and three orthopaedic wards in acute hospitals in England.

Healthcare professionals, including nurses, therapists and doctors (n=40), and patients aged 65 and over, and carers (n=31).

We examined mechanisms hypothesised to underpin the implementation of multifactorial falls risk assessment and multidomain, personalised prevention plans.

We developed an explanation detailing that how contextual factors supported or constrained implementation of recommended falls prevention practices.

Nurses led delivery of falls risk assessment and prevention planning using their organisation’s electronic health records (EHR) to guide and document these practices. Implementation of recommended practices was influenced by (1) organisational EHR systems that differed in falls risk assessment items they included, (2) competing priorities on nurse time that could reduce falls risk assessment to a tick box exercise, encourage ‘blanket’ rather than tailored interventions and that constrained nurse time with patients to personalise prevention plans and (3) established but not recommended falls prevention practices, such as risk screening, that focused multidisciplinary communication on patients screened as at high risk of falls and that emphasised nursing, rather than Multidisciplinary Team (MDT), responsibility for preventing falls through constant patient supervision.

To promote consistent delivery of multifactorial falls prevention practices, and to help ease the nursing burden, organisations should consider how electronic systems and established ward-based practices can be reconfigured to support greater multidisciplinary staff and patient and carer involvement in modification of individual falls risks.

Countries face challenges in maternal and newborn care (MNC) regarding costs, workforce and sustainability. Organising integrated care is increasingly seen as a way to address these challenges. The evidence on the optimal organisation of integrated MNC in order to improve outcomes is limited.

(1) To study associations between organisational elements of integrated care and maternal and neonatal health outcomes, experiences of women and professionals, healthcare costs and care processes and (2) to examine how the different dimensions of integrated care, as defined by the Rainbow Model of Integrated Care, are reflected in the literature addressing these organisational elements.

We included 288 papers and identified 23 organisational elements, grouped into 6 categories: personal continuity of care; interventions to improve interdisciplinary collaboration and coordination; care by a midwife; alternative payment models (non-fee-for-service); place of birth outside the obstetric unit and woman-centred care. Personal continuity, care by a midwife and births outside obstetric units were most consistently associated with improved maternal and newborn outcomes, positive experiences for women and professionals and potential cost savings, particularly where well-coordinated multidisciplinary care was established. Positive professional experiences of collaboration depended on clear roles, mutual trust and respectful interdisciplinary behaviour. Evidence on collaboration interventions and alternative payment models was inconclusive. Most studies emphasised clinical and professional aspects rather than organisational integration, with implementation barriers linked to prevailing biomedical system orientations.

Although the literature provides substantial evidence of organisational elements that contribute to improved outcomes, a significant gap remains in understanding how to overcome the barriers in sustainable implementation of these elements within healthcare systems. Interpreted through a systems and transition science lens, these findings suggest that strengthening integrated maternity care requires system-level changes aligning with WHO policy directions towards midwifery models of person-centred care.

To characterise patient and medication-related patterns observed in drug-related pressure ulcers (DRPUs) and provide descriptive findings that may support future consensus-building.

Multicentre retrospective observational study.

20 hospitals across Japan participated in the study with hospital pharmacists specialised in PU care.

A total of 1113 hospitalised patients with existing PUs were included and classified into three groups (definite, probable and no-possibility of DRPUs) based on predefined criteria.

The primary outcome was the description of medication-related characteristics observed in each DRPU classification group, including polypharmacy, initiation of new medications and dose adjustments. Secondary outcomes included differences in ulcer characteristics and functional status across DRPU categories.

The definite group (n=128, 11.5%) showed a significantly higher prevalence of polypharmacy (83.6% vs 71.1% in the no-possibility group, p

Medication-related characteristics such as polypharmacy, initiation of new medications, dose modifications and use of antipsychotics were more frequently observed in the definite DRPU group. These descriptive findings may help characterise the clinical patterns of DRPUs and may inform future hypothesis generation.

Many pregnant women have a history of trauma, such as abuse or violence, which can significantly impact their mental and physical health. Discussing these experiences in maternity care presents an opportunity to support women, reduce stigma and connect them with resources. However, concerns persist about stigmatisation, re-traumatisation and unwarranted safeguarding referrals.

The objective of this study was to explore how trauma discussions should be approached in maternity care, drawing on the perspectives of women with lived experience, voluntary sector representatives and healthcare providers in the UK. Findings aim to inform the development of a future intervention.

Semistructured interviews were conducted with women with trauma histories (experts by experience; n=4), representatives of voluntary sector organisations (n=7) and healthcare providers (n=12). Reflexive thematic analysis was used to analyse the data. A qualitative content analysis approach was employed, supported by a Patient and Public Involvement and Engagement group (named as the ‘Research Collective’ for this study) comprising experts by experience, maternity care professionals and voluntary sector practitioners. The group contributed to both study design and data analysis.

Five descriptive categories emerged: (1) Rationale for discussions—whether and why trauma should be addressed; (2) Professionals and settings—who should lead discussions and in what environment; (3) Timing considerations—when discussions should occur; (4) Communicating about trauma—strategies to sensitively explore prior trauma; and (5) Supporting care providers—training and emotional support needs. Participants highlighted both the benefits of trauma discussions and the practical, emotional and systemic challenges involved.

Trauma discussions in maternity care are complex but essential. Findings provide practical, UK-specific insights into timing, communication and staff support considerations, highlighting the need for culturally sensitive, co-designed approaches to facilitate safe and effective trauma-informed care.

Stroke is a leading cause of death and disability in the Caribbean, yet there is limited published information on the availability and utilisation of diagnostic imaging and treatment methods. Inequities in healthcare infrastructure, access to neuroimaging and acute treatment options may contribute to poorer outcomes following stroke, particularly in the low-resource settings that characterise most of the Caribbean region. The objective of this review is to map the literature on access to diagnostic and therapeutic modalities for adult stroke care in the Caribbean to identify potential limitations in acute treatment and examine how restricted access may impact outcomes. The resulting data can help inform strategies for improving access to stroke care in resource-limited communities.

We will apply a three-step strategy based on the Joanna Briggs Institute methodological framework: first, a limited search to identify relevant articles; second, selection of key search terms; third, implementation into a comprehensive search strategy. The query will range from 1 January 1995 to 1 June 2025 (date of final search). Search results will be extracted and screened by two independent reviewers, and findings will be presented in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. We will consider studies focusing on ischaemic and haemorrhagic stroke in the Caribbean, emphasising access to diagnostic imaging, stroke centres, prehospital management and emergent treatment. Studies examining acute stroke management capacity within the region will be considered. Studies will be excluded if they: focus exclusively on primary stroke prevention, postacute care, longitudinal care pathways for stroke victims or paediatric populations; are unrelated to stroke diagnosis or treatment or are conducted outside the Caribbean.

This protocol aims to perform secondary analysis of previously published literature; therefore, ethical approval is not required. The results of this review will be disseminated through academic conferences and peer-reviewed publication.

Infant feeding practices in the first 2 years of life are linked to long-term weight trajectories. Despite the importance of obesity prevention interventions, there are no randomised controlled trials (RCTs) evaluating early childhood education and care (ECEC) and primary caregiver-targeted interventions on child weight and feeding outcomes.

To assess the efficacy of an 18-month digital health intervention (Tiny Bites) delivered to ECEC services and primary caregivers of children aged 4 to ≤12 months on child age-adjusted and sex-adjusted body mass index-for-age z-score (zBMI) relative to usual care control in the Hunter New England (HNE) region of New South Wales, Australia.

This type 1 hybrid cluster RCT will include up to 60 ECEC services and 540 children/caregiver dyads. The intervention supports ECEC services and caregivers to deliver recommended responsive feeding practices to infants. ECEC services will receive access to an online assessment platform, training and resources, and implementation support. Primary caregivers will receive text messages, monthly e-newsletters, online links and direct communication from ECEC services. We will assess the impact on child zBMI at 18-month follow-up. Secondary outcomes include duration of consuming any breastmilk, child diet and caregiver responsive feeding practices. We will also assess ECEC policy and practice implementation related to targeted feeding practices, programme cost effectiveness, adverse effects and engagement with the programme (ECECs and caregivers). For the primary outcome, between-group differences will be assessed for paired data using two-level hierarchical linear regression models.

Ethics approval has been provided by HNE Human Research Ethics Committee (HREC) (2023/ETH01158), Deakin University (2024-202) and University of Newcastle HREC (R-2024-0039). Trial results will be submitted for publication in peer-reviewed journals, presented at scientific conferences locally and internationally and to relevant practice stakeholders.

ACTRN12624000576527.