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.

Tobacco use is the most significant modifiable risk factor for adverse health outcomes, and early research indicates there are also significant harms associated with vaping. National targets aim to reduce smoking and vaping during pregnancy for Aboriginal and Torres Strait Islander people. While most Aboriginal and Torres Strait Islander people want to quit, cessation is frequently attempted without support, increasing the chance of relapse. Group-based smoking cessation programmes increase quit success by 50%–130% in the general population; however, they have never been evaluated in Aboriginal and/or Torres Strait Islander communities.

The Gulibaa study is an Indigenous-led and community-embedded project that will co-design, implement and evaluate a group-based model of care to support Aboriginal and Torres Strait Islander women to be smoke- and vape-free. Staff of Health Services in New South Wales, Australia, will receive training to deliver a face-to-face group-based smoking and vaping cessation intervention. Aboriginal and/or Torres Strait Islander people who identify as a woman or non-binary, are pregnant or of reproductive age (16 to 49 years), currently smoke or vape at least once per day and are willing to attend the programme are eligible to participate. Up to 500 participants will be recruited. A mixed method evaluation approach will be implemented guided by the RE-AIM framework. Outcomes will include intervention reach, intervention effectiveness (determined primarily by self-reported 7-day point prevalence abstinence at 6 months follow-up), acceptability and feasibility of the intervention, programme fidelity and maintenance and cost effectiveness.

Embedding culturally safe support to quit during pregnancy can result in improved outcomes for both mother and child and immediately improve intergenerational health and well-being. Ethics approval has been provided by the Aboriginal Health and Medical Research Council and the University of Newcastle. Study findings will be disseminated to Aboriginal and Torres Strait Islander communities in ways that are meaningful to them, as well as through Aboriginal health services, key national bodies, relevant state and federal government departments.

ACTRN12625001050448.

Adolescents in informal urban communities, defined as settlements that fall outside of formal governmental planning and regulatory frameworks, are at increasing risk of poor-quality diets and malnutrition in all its forms. The food environment is the interface of adolescent food choice and the broader food system, and food environment interventions have the potential to improve adolescent diets and nutritional outcomes.

We will conduct a mixed-methods study, integrating methods from participatory systems science and nutritional epidemiology to characterise linkages among adolescents’ neighbourhood and home food environments, and their food choices, diets and nutritional outcomes. We will recruit adolescents, caregivers, school staff and food system actors from five communities along a gradient of urban informality in Nairobi, Kenya, to participate in cognitive mapping, group-based modelling and a cohort study over one academic year to evaluate dietary choices and nutritional outcomes.

The study has been approved by the Research Ethics Committee of Rutgers University (Pro2024001981) and Amref Health Africa (P1831-2025). Adult participants will provide written informed consent, and adolescents will provide written informed assent to participate in the study. Findings will be disseminated through peer-reviewed journals, conference presentations and to participants through planned participatory interaction throughout the study.

We aimed to describe clinical and diagnostic characteristics of primary care patients with heart failure and physicians’ adherence to guideline-directed medical therapy (GDMT) for treating chronic heart failure.

Cross-sectional study based on baseline data from the prospective primary care-based study Heart failure in Southern Sweden (HISS).

Patients with heart failure were included from 20 primary healthcare centres in the southernmost region of Sweden (Skåne).

Between 2020 and 2023, patients were included in HISS, resulting in a total of 587 participants. Of these, 558 patients (95% of the HISS participants) had available data on left ventricular ejection fraction and were included in this study. Adult patients aged 18 years or older diagnosed with heart failure (International Classification of Diseases, 10th Revision codes I50, I11.0, I42, I43) were considered eligible for inclusion in HISS. Community-dwelling patients with assisted care were excluded.

The primary outcome measures were distribution of heart failure subtypes and prescribed medications. The secondary outcomes were temporal trends in GDMT and the association between physicians’ adherence to GDMT and clinical characteristics of patients, using logistic regression models.

Heart failure with preserved ejection fraction (HFpEF) was the most prevalent subtype (42%), followed by mildly reduced (30%) and reduced ejection fraction (HFrEF, 28%). Among patients with HFrEF, 20% were prescribed the recommended GDMT according to the European Society of Cardiology (ESC) 2021 guidelines, which consisted of a renin-angiotensin system inhibitor, a beta-blocker, a mineralocorticoid receptor antagonist and a sodium-glucose 2 inhibitor. We observed no significant change in the prescribing trends for the quadruple therapy in patients with HFrEF when comparing the 2 years before and after the publication of the ESC 2021 guidelines. Similarly, we observed no association between patient characteristics and the prescription of GDMT according to ESC 2021 for patients with HFrEF.

HFpEF was the most prevalent subtype, with conclusive and recent echocardiography data among two-thirds of the cohort. Temporal trends in prescription patterns showed no appreciable increase in the use of GDMT for HFrEF during the two years following guideline publication compared with the two preceding years. These findings indicate a need for inclusion of primary care patients as a basis for intensified medical recommendations and implementation strategies.

NCT04129658.

Type 2 diabetes is a prevalent chronic disease, associated with health complications, premature morbidity and significant healthcare costs. Optimal lifestyle behaviour control and patient self-management are crucial for improving diabetes control; however, they are difficult to achieve in primary care. There is limited research on the use of information from wearable devices to encourage behaviour change. This study will examine the effectiveness and cost-effectiveness of a multi-component health behaviour intervention in achieving clinically significant reductions in haemoglobin A1c (HbA1c) among general practice patients with type 2 diabetes.

The study uses a cluster-randomised controlled design, with general practices randomly assigned to either the Wearables Integrated Technology (WEAR-IT) intervention (n=15) or usual care (n=15). To achieve a sample size of 375 participants, 12–13 patients per practice will be recruited. Patients diagnosed with type 2 diabetes will be eligible to participate if they are aged 18–75 years; have had poorly controlled diabetes (HbA1c≥7.5%), with the cognitive capacity and ability to access the intervention application via an iOS or Android smart device. The WEAR-IT self-management intervention combines information from wearable devices (physical activity, blood glucose and blood pressure) and the electronic medical record, with goal setting and coaching support. The intervention will be primarily delivered by the general practice nurse, with review and confirmation of goals by the general practitioner. Participants attending the usual care practices will receive standard care. Outcome measures, including HbA1c, lipids, blood pressure, quality of life, dietary and exercise behaviours and cost-effectiveness, will be collected at baseline, 6-month (primary endpoint) and 12-month post-randomisation. The primary analysis will compare the change in HbA1c between the intervention and control groups at 6-month follow-up, with long-term outcomes assessed at 12-month post-randomisation.

The study was approved by Bond University (BH00137). Results will be disseminated through peer-reviewed journal publications, conference presentations and summaries to participating sites and patients.

Australian New Zealand Clinical Trials Registry (ACTRN12624000957594).

Systematic literature reviews (SLRs) are essential for synthesising research evidence and guiding informed decision-making. However, SLRs require significant resources and substantial efforts in terms of workload. The introduction of artificial intelligence (AI) tools can reduce this workload. This study aims to investigate the preferences in SLR screening, focusing on trade-offs related to tool attributes.

A discrete choice experiment (DCE) was performed in which participants completed 13 or 14 choice tasks featuring AI tools with varying attributes.

Data were collected via an online survey, where participants provided background on their education and experience.

Professionals who have published SLRs registered on Pubmed, or who were affiliated with a recent Health Economics and Outcomes Research conference were included as participants.

The use of a hypothetical AI tool in SLRs with different attributes was considered by the participants. Key attributes for AI tools were identified through a literature review and expert consultations. These attributes included the AI tool’s role in screening, required user proficiency, sensitivity, workload reduction and the investment needed for training. Primary outcome measures: The participants’ adoption of the AI tool, that is, the likelihood of preferring the AI tool in the choice experiment, considering different configurations of attribute levels, as captured through the DCE choice tasks. Statistical analysis was performed using conditional multinomial logit. An additional analysis was performed by including the demographic characteristics (such as education, experience with SLR publication and familiarity with AI) as interaction variables.

The study received responses from 187 participants with diverse experience in performing SLRs and AI use. The familiarity with AI was generally low, with 55.6% of participants being (very) unfamiliar with AI. In contrast, intermediate proficiency in AI tools is positively associated with adoption (p=0.030). Similarly, workload reduction is also strongly linked to adoption (p

The findings suggest that workload reduction is not the only consideration for SLR reviewers when using AI tools. The key to AI adoption in SLRs is creating reliable, workload-reducing tools that assist rather than replace human reviewers, with moderate proficiency requirements and high sensitivity.