Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant pulmonary pathology, including lung cancer. While low-dose CT screening has mortality benefits in selected high-risk populations, its implementation remains limited in many healthcare settings. Artificial intelligence (AI)-assisted CXR interpretation has the potential to enhance pulmonary nodule detection. However, evidence from Malaysian clinical practice is scarce. This study aims to evaluate the diagnostic performance of AI-assisted CXR interpretation for detecting IPNs across healthcare facilities in the Klang Valley, Malaysia.

This prospective, multicentre study will include 2452 CXRs from patients aged ≥35 years over a 6-month period across four Klang Valley healthcare facilities. Each CXR will be independently interpreted by an experienced radiologist (>5 years of experience) and analysed separately using an AI system (qXR-LNMS). An independent thoracic radiologist will determine the final classification for analysis if there is IPN detection discordance. Diagnostic performance metrics (sensitivity, specificity, positive and negative predictive values, and overall accuracy) will be calculated using a 2x2 classification matrix. Agreement between AI-assisted interpretation and radiologist reports will be assessed using Cohen’s kappa statistic. The prevalence of IPNs detected by AI-assisted interpretation and radiologist reporting will be compared using a two-proportion z-test. AI discriminative performance will be evaluated using receiver operating characteristic curve analysis and area under the curve estimation. Statistical analyses will be conducted using Statistical Package for the Social Sciences V.29, with p

Ethical approval has been obtained from the Universiti Kebangsaan Malaysia Research Ethics Committee and the Ministry of Health Malaysia Medical Research and Ethics Committee. Written informed consent will be obtained from all participants. The findings will be disseminated through peer-reviewed publications, scientific conferences and engagement with relevant stakeholders.

Stroke is one of the top causes of disability in Malaysia, yet caregivers have limited access to structured, culturally tailored education to support poststroke care.

To develop and validate the CaknaStrok Education Package (CEP), a blended learning intervention comprising a printed guidebook and a trilingual mobile health application for informal stroke caregivers in Malaysia.

Methodological study involving the development and validation of a caregiver education programme guided by the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design framework.

Development and validation were conducted in Malaysia between January 2022 and December 2023. Both experts and caregivers were recruited from two tertiary hospitals on the East Coast of Malaysia, with caregivers identified from inpatient wards and outpatient clinics at these hospitals.

Content validation involved 10 multidisciplinary experts. Face validation involved 14 informal stroke caregivers who met eligibility criteria, and all completed the study.

CEP was developed based on prior needs assessment and expert input. Content validation was undertaken using the Content Validity Index (CVI) and face validation using the Face Validity Index (FVI), both assessed on a four-point Likert scale. Qualitative feedback was also obtained from the participants.

CEP consists of six modules delivered via a printed guidebook and a trilingual app with videos, assessment tools and local resources. Experts rated the content highly valid (Scale-level (S)-CVI/the average method (Ave): 0.97–0.99 across domains). Caregivers reported strong acceptability (S-FVI/Ave: 0.95–0.99). Qualitative feedback from experts and caregivers informed refinements to content clarity, usability and presentation, including improved navigation, consistent language use and enhanced visual design. Suggestions requiring substantial structural changes were documented for future iterations.

The CEP shows strong content and face validity as a blended caregiver education tool. By combining printed and digital formats, CEP addresses cultural and access challenges and provides a scalable model for stroke caregiver education in Malaysia. Further pilot or feasibility studies are warranted to evaluate usability, engagement and implementation in real-world settings prior to effectiveness evaluation.

Hospital patients are at an increased risk of falls, which are a significant safety concern within healthcare settings.¹ Understanding how the COVID-19 pandemic has influenced fall risks is essential for identifying key factors that could inform future fall prevention strategies.² This scoping review aims to explore the barriers and challenges associated with preventing inpatient falls in the context of the post-COVID-19 environment.

The methodology for this scoping review follows the framework established by Arksey and O’Malley. A comprehensive literature search will be conducted using specific keywords to identify relevant published studies. Searches will be performed across selected electronic databases, including PubMed/MEDLINE, CINAHL, Scopus, ProQuest and Web of Science, covering publications from 2014 to 2024. This review will focus on a global perspective. Two authors will independently screen titles and abstracts to identify potential studies for inclusion. Studies meeting the inclusion criteria will be retrieved for full-text review, and their references will be assessed for relevance using the same criteria. The PRISMA flow diagram will guide the review process. Data will be extracted, analysed and charted according to categories from the selected publications.

This scoping review will provide a comprehensive overview of the barriers and challenges in preventing inpatient falls in the post-pandemic context. The findings will be disseminated through submission for publication in a scientific journal.

This scoping review protocol is registered with Open Science Framework (OSF) available at https://osf.io/.

Falls are highly prevalent among individuals with dementia, largely due to the cognitive and physical impairments associated with the condition. Understanding the barriers and challenges to fall prevention in community-dwelling individuals with dementia is essential for developing tailored strategies that address their unique risks. Despite the existing evidence on fall prevention in older adults, few reviews specifically examine the obstacles faced by persons with dementia and their caregivers in community settings. This scoping review, therefore, aims to map the barriers and challenges to preventing falls among community-dwelling individuals with dementia.

This review will follow Arksey and O’Malley’s five-stage framework and be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses—Extension for Scoping Reviews checklist. Six electronic databases (PsycINFO, PubMed, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Scopus and Embase) will be searched for relevant studies published between 2014 and 2024. Grey literature sources, including dissertations and conference proceedings, will also be included. Data will be charted and synthesised thematically to provide an overview of barriers and contextual factors influencing fall prevention. The study commenced in August 2025 and is expected to be completed by February 2026.

As this review involves the analysis of existing literature, ethical approval is not required. Findings will be disseminated through peer-reviewed publications, conference presentations and summaries tailored for healthcare providers and caregiver groups.

The protocol is registered with the Open Science Framework: https://osf.io/gnw47/(dataset).