To determine burnout prevalence, associated factors and coping strategies used by nursing professionals.

Cross-sectional analytical study.

Public and private healthcare institutions in Kerala, India.

Nursing professionals in Kerala (n=349).

Burnout levels (assessed with the Burnout Assessment Tool (BAT)) and coping strategies. Log-binomial regression was performed to identify factors associated with burnout.

High burnout was reported by 36.1% of participants (126/349; 95% CI 31.1 to 41.4). Burnout prevalence was higher among nurses with an MSc (Master of Science) or higher educational qualification (adjusted prevalence ratio (APR)=1.46; 95% CI 1.04 to 2.03); those working in urban settings (APR=1.41; 95% CI 1.04 to 1.90); those who were single, divorced or separated (APR=1.58; 95% CI 1.18 to 2.12); those with travel time ≥30 min (APR=1.36; 95% CI 1.03 to 1.79); and those engaged in clinical/direct patient care duties (APR=1.75; 95% CI 1.18 to 2.59). Commonly reported coping strategies included active coping (59.6%), seeking instrumental social support (58.7%) and venting (54.4%), whereas negative strategies, such as substance use, were less frequent (22.9%).

Over one-third of the nurses in our study reported high burnout. Efforts to reduce burnout should focus on nurses with higher qualifications, those working in urban settings, those with higher travel time, those who are single/divorced/separated and those involved in clinical duties to enhance healthcare quality.

To estimate the prevalence of lower urinary tract symptoms (LUTS) suggestive of benign prostatic hyperplasia (BPH) and to identify associated sociodemographic, lifestyle and comorbidity-related factors among men aged ≥50 years in a community setting.

Community-based cross-sectional study.

Primary care and community settings in a district of southern India using multistage cluster sampling across urban and rural areas.

A total of 560 men aged ≥50 years were enrolled and completed the study. Participants were selected through multistage cluster sampling. Men with known alternative causes of LUTS (such as urinary tract infection, neurological disorders or prior prostate surgery) were excluded.

The primary outcome was the prevalence of LUTS, suggestive of BPH, defined as an International Prostate Symptom Score (IPSS) ≥8. Secondary outcomes included the distribution of individual urinary symptoms, IPSS severity categories, quality-of-life scores and factors associated with LUTS. Outcomes were analysed using survey-weighted methods accounting for clustering and sampling weights.

The survey-weighted mean (SD) IPSS score was 3.46 (2.64), with a median (IQR) of 3 (2-4). Most participants reported minimal urinary symptoms, including no incomplete emptying (82.1%), no urgency (81.4%), normal urinary stream (90.5%), and no straining (90.0%). Nocturia was common, with 43.6% waking once and 28.8% waking twice per night. Overall, 80.2% were mildly symptomatic, 10.1% moderately symptomatic and 0.4% severely symptomatic. The prevalence of LUTS suggestive of BPH was 10.32% (n=58; 95% CI 5.7 to 18.0). In survey-weighted multivariable Poisson regression, below-poverty-line status (adjusted prevalence ratio (APR) 4.13; 95% CI 1.38 to 12.41), physical inactivity (APR 2.89; 95% CI 1.81 to 4.63), diabetes mellitus (APR 2.58; 95% CI 1.26 to 5.30), cardiac disease (APR 3.27; 95% CI 1.67 to 6.41), and arthritis (APR 1.88; 95% CI 1.03 to 3.42) were independently associated with LUTS.

Approximately one in ten men aged ≥50 years had LUTS, suggestive of BPH. The findings indicate a higher prevalence of LUTS among men with socioeconomic disadvantage, physical inactivity and cardiometabolic comorbidities. Integrating symptom-based screening for LUTS into routine primary care and chronic disease follow-up may facilitate early identification and improve quality of life among older men. Further research is warranted to explore longitudinal relationships and alternative symptom thresholds in community populations.

To estimate the rate of hospitalisation, identify associated factors and assess out-of-pocket expenditure (OOPE) among adults with multimorbidity in Kerala, India.

Community-based cross-sectional study.

Two districts of Kerala, representing different geographic regions of the state.

A total of 432 adults aged ≥30 years with multimorbidity were selected using multistage cluster sampling; 52.3% were women.

Self-reported hospitalisation in the preceding 12 months and OOPE related to multimorbidity.

Hospitalisation in the past year was reported by 26.62% of participants (n=115; 95% CI 22.5% to 31.1%). Among them, the majority (n=78, 67.83%) were admitted to government hospitals, and most hospital stays lasted

One in four adults with multimorbidity in Kerala reported hospitalisation. A significant proportion of OOPE was for drugs. These findings highlight the urgent need for targeted financial protection measures, equitable resource allocation and strengthening of primary care services to reduce avoidable hospitalisations and economic burden. The increase in hospitalisation among those with insurance coverage requires careful attention from policy makers. Regulation of drug prices may be required to reduce the financial burden imposed by drugs.

To estimate the prevalence and identify the determinants of assistive device usage in daily life among older adults in India.

Cross-sectional analysis of nationally representative survey data.

India

A total of 66 316 adults aged ≥45 years with complete information on assistive device use from Wave 1 of the Longitudinal Ageing Study in India, 2017–2018.

The primary outcome was self-reported use of any assistive device, including visual, hearing, mobility or other assistive devices. There were no predefined secondary outcome measures. Sociodemographic and health-related variables were analysed as covariates to assess factors associated with assistive device use.

The prevalence of assistive device use was 38.61% (95% CI: 37.73% to 39.50%). Use increased with age, from 34.48% among adults aged 45–59 years to 52.07% among those aged ≥75 years (adjusted prevalence ratios (aPR) 1.30; 95% CI: 1.25 to 1.35). Prevalence was higher among men (40.94%) than women (37.51%) (aPR 1.06; 95% CI: 1.03 to 1.09), among individuals with education above primary level (54.28%) compared with those with up to primary education (28.35%) (aPR 1.42; 95% CI: 1.36 to 1.48), and among urban residents (53.88%) vs rural residents (31.16%) (aPR 1.18; 95% CI: 1.14 to 1.22). A clear socioeconomic gradient was observed, with prevalence increasing from 27.65% in the poorest to 50.66% in the richest wealth quintile (aPR 1.32; 95% CI: 1.25 to 1.39). Assistive device use was higher among participants with chronic conditions (47.30%) than those without (28.16%) (aPR 1.15; 95% CI: 1.11 to 1.19) and was markedly higher among those with a prior eye or vision diagnosis (64.93%) compared with those without (14.61%) (aPR 3.94; 95% CI: 3.78 to 4.11). Among users, spectacles or contact lenses were most common (89.26%), followed by walking sticks or walkers (11.62%) and dentures (6.15%). State-level prevalence varied widely, ranging from 71.27% in Goa to 13.44% in Arunachal Pradesh.

Assistive device use was reported by less than half of Indian adults aged ≥45 years. The findings reveal clear socioeconomic and geographic inequities in access to assistive devices, with substantially lower use among older adults with less education, those in poorer wealth quintiles and rural residents. These disparities highlight the need for equity-focused interventions that improve accessibility to assistive devices, particularly for socially and economically disadvantaged groups and individuals with chronic conditions.

Dysphagia, or difficulty in swallowing, significantly impacts the quality of life of the affected individuals. Diagnostic approaches, including video fluoroscopic swallowing studies and flexible endoscopic evaluation of swallowing, are the most commonly used methods for assessing swallowing function. Recent advancements have led to the development of artificial intelligence (AI), including machine learning (ML) and deep learning (DL), which will provide innovative approaches to dysphagia diagnosis and treatment planning. There is a limited synthesis of literature on AI tools in dysphagia. There is an urgent need for a more rigorous and structured scoping review that can address the existing gaps, provide a more comprehensive evidence synthesis, and establish clearer guidelines for the clinical implementation of AI in assessments and management of dysphagia. This review will include studies focusing on AI tools such as ML, DL and computer vision for assessing and managing dysphagia. The context will be clinical or therapeutic settings, and all language articles will be considered for the review. Studies not involving AI technologies, those without clinical outcomes and ethical approval, and those focusing solely on the paediatric population will be excluded. This scoping review will systematically map and synthesise the existing literature on the use of AI tools for the assessment and management of dysphagia.

This scoping review will follow JBI methodology and PRISMA ScR guidelines. Information to be searched from January 2000 to May 2025 will include MEDLINE (via Ovid), Scopus, CINAHL (via EBSCOhost), Cochrane Library, JBI Evidence Synthesis, ProQuest and Google Scholar. The titles, abstracts and full texts will be screened by two independent reviewers. Data extraction will use a study-specific customised form, with descriptive analysis employed to categorise studies by AI tools and outcomes.

Ethical approval is not mandatory for this scoping review as it does not entail the collection of any individual patient data. Secondary data from publicly accessible research papers will be used. All the data sources will be appropriately cited. The findings will be propagated through peer-reviewed publications and scientific presentations.

Open Science Framework: DOI 10.17605/OSF.IO/DYCE9.