Well-being of healthcare professionals (HCPs) is vital for care quality, staff retention and overall healthcare system effectiveness. This study aims to identify the organisational and workplace variables associated with sick leave and measures of engagement of HCPs on department level within a single Dutch academic hospital.

Cross-sectional study using routinely collected organisational data.

A tertiary-care academic hospital in the Netherlands.

25 clinical departments were included. Department level variables were derived from routinely collected hospital databases. Availability of data varied across variables. Analysis included information on patient population, human resources, care processes, quality of care and employee and patient experiences to assess differences, correlations and predictors for sick leave and engagement.

Primary outcome measures were (1) sick leave (%) and (2) engagement, assessed through two staff-survey items (vitality and connectedness; 0–10 Numeric Rating Scale). Both outcomes were analysed at department level.

Employee population data showed the most consistent patterns across analyses. Departments with higher staffing capacity had higher sick leave and lower engagement in group comparisons (p=0.009, p=0.030, respectively). In multivariable models, higher staffing capacity remained associated with increased sick leave (B=1.38, 95% CI 0.53 to 2.23, p=0.003). Engagement was positively associated with higher inflow (B=0.92, 95% CI 0.06 to 1.77, p=0.037) and negatively associated with outflow (B = –1.36, 95% CI –2.08 to –0.63, p=0.001). No consistent associations were found with patient population and patient experience measures.

Workforce-related factors, particularly staffing capacity and inflow and outflow, are strongly linked to sick leave and engagement. Routinely collected hospital data can be used to identify at-risk departments and inform targeted strategies for improving workforce sustainability. Future studies should explore more granular, team-level data to better support staff well-being and care quality.

Multidrug-resistant tuberculosis (MDR-TB) is an urgent public health challenge in Namibia, with profound socioeconomic consequences. The high burden of both tuberculosis and HIV complicates treatment and underscores the need for optimised drug therapies. Precision medicine, which leverages patient-specific genetic and molecular information, offers promise for improving MDR-TB outcomes. However, its effective application relies on population-specific data, particularly understanding how individuals metabolise tuberculosis drugs and how genetic diversity drives variability in treatment response. Currently, no pharmacokinetic (PK) or pharmacogenetic (PG) data on TB treatment exist for Namibian populations. This gap is particularly concerning, given the country’s genetic diversity, environmental factors and comorbidities that may uniquely influence drug metabolism. This study aims to generate PK and PG data to inform dose optimisation and support personalised treatment strategies for MDR-TB in Namibia. The findings will contribute to improved patient care and inform health system strengthening based on locally relevant evidence.

This cross-sectional study will consist of 100 Namibian participants with matched human DNA and PK data of MDR-TB cases receiving isoniazid, clofazimine, bedaquiline and the fluoroquinolones (levofloxacin or moxifloxacin). PK sampling will be divided as follows: 30 individuals will undergo intensive PK sampling, while the remaining (n=70) will undergo sparse PK sampling. DNA will be extracted at Stellenbosch University (SU), and samples will be genotyped using the H3Africa microarray. Sequences will be aligned to the human reference genome, hg38 (GRCh38p13), using the freely available Burrows-Wheeler Aligner. A subset of the samples (n=20–30) will undergo whole genome sequencing (WGS) to verify imputation results and identify novel genetic variants potentially affecting PK in this population.

Quality control and variant call format file generation will be performed using the Genome Analysis Toolkit best practices (V.3.5). Intensive and sparse PK data will be pooled for the development of a population PK (popPK) model using a non-linear mixed-effects modelling approach. The popPK model will characterise the relationship between TB drug dose and exposure, including quantifying covariates, including genetic variation, explaining PK variability, providing a foundation for dose optimisation and personalised treatment strategies.

Ethics approval was obtained from the University of Namibia Human Research Ethics Committee for Health (Ref. SOM18/2024), the Ministry of Health and Social Services (Ref. 22/4/2/3), the SU Health Research Ethics Committee (Ref. N21/11/136) and the University of Cape Town Human Research Ethics Committee (Ref. 500/2022).

To estimate tuberculosis (TB) incidence trends in the high-altitude Xizang, China, and to explore the key intervention strategies on achieving the WHO 2030 TB control target.

We developed a susceptible–exposed–infectious–recovered transmission model using routinely reported TB surveillance data from 2004 to 2022. Scenario-based simulations were conducted to project future TB incidence under alternative intervention strategies. Model assumptions are as follows: (1) a stable population, (2) lifelong vaccine-induced immunity, (3) infectiousness of active TB cases, (4) relapse risk after recovery and (5) homogeneous mixing within the population.

Seven prefectures of Xizang Autonomous Region on the Tibetan Plateau, China.

An estimated population of approximately 3 million individuals residing in Xizang.

We assessed the epidemiological impact of four interventions implemented independently: increasing vaccine efficacy rate, reducing transmission rates of susceptible individuals, decreasing progression rate from latent TB infection to active disease and reducing relapse rate among successfully treated patients, compared with continuation of current control measures.

The estimated basic reproduction number (R₀ ) for TB in Xizang was 0.39 (95% CI 0.21 to 0.71) in the absence of additional interventions, which was the highest among all regions of China. Model simulations indicated that all four evaluated interventions were each likely to reduce TB incidence, but only reducing the latent-to-active TB progression had a substantial effect. A 50% reduction in the progression rate was predicted to lower TB incidence from 66.56 (62.00–70.11) to 40.54 (37.15–43.77) cases per 100 000 population, meeting the WHO 2030 TB control target.

Targeted management of individuals with latent TB infection should be strengthened to substantially reduce TB transmission in high-altitude areas.

The standard treatment for high-grade squamous intraepithelial lesions is excisional involving the uterine cervix, while surveillance is an acceptable approach for low-grade squamous intraepithelial lesions. There is controversy about excisional treatment on pregnancy outcomes. The objective of this study was to determine pregnancy outcomes in women living with and without HIV who underwent excisional treatment for high-grade cervical intraepithelial lesions.

This retrospective cohort study compared the pregnancy outcomes of women with and without HIV who were or were not treated for cervical intraepithelial lesions. A cohort of 488 women with and without HIV infection who did or did not receive excisional treatment for cervical intraepithelial lesions between 2009 and 2022 was enrolled. Adverse pregnancy outcomes (preterm delivery and pregnancy loss) in women with and without HIV, untreated or treated for cervical dysplasia, were recorded and analysed. The significance of the obtained results was judged at the 5% level.

The study was conducted at all Academic Model Providing Access to Healthcare-Kenya satellite sites, which offer cervical cancer screening and treatment for cervical dysplasia in western Kenya. The Moi Teaching and Referral Hospital was also included.

A cohort of 488 women aged between 20 years and 49 years, with and without HIV, diagnosed and treated for high-grade cervical intraepithelial neoplasia, and those followed up for low-grade cervical intraepithelial neoplasia between 2009 and 2022, were included.

The study was interested in adverse pregnancy outcomes, particularly pregnancy loss and preterm delivery following cervical excision treatment for high-grade cervical intraepithelial lesions.

After adjustment for confounding factors, excisional treatment involving the uterine cervix—particularly cold knife conisation—was associated with higher odds of adverse pregnancy outcomes (OR 13.1; 95% CI 1.1 to 137.1; p=0.032). A prior history of adverse pregnancy outcomes was also strongly associated with subsequent adverse outcomes after treatment (OR 37.7; 95% CI 13.8 to 102.7; p

Adverse pregnancy outcomes after excisional treatment of the uterine cervix for high-grade squamous intraepithelial lesions are multifactorial and were associated with cold knife conisation and prior adverse pregnancy outcomes, while maternal HIV infection was not independently associated with adverse outcomes.

To investigate the trajectories of swallowing function recovery and associated influencing factors in adult patients following orotracheal extubation in the intensive care unit (ICU).

Prospective cohort study.

Emergency ICU of a tertiary hospital in Shenyang, China.

A total of 182 adult patients who underwent orotracheal intubation were enrolled between December 2023 and December 2024 using convenience sampling. Among them, 168 patients completed all follow-up assessments, with a loss-to-follow-up rate of 10.1%.

Swallowing function was assessed using the Standardised Swallowing Assessment (SSA) at 2, 4, 6, 8, 24 and 48 hours after extubation. Latent class growth modelling (LCGM) was used to identify distinct swallowing function trajectories. Unordered multinomial logistic regression was performed to examine factors associated with different trajectory classes.

Among the 168 patients who completed all six assessments, no significant differences in baseline characteristics were observed between patients who completed follow-up and those lost to follow-up (all p>0.05). LCGM identified three distinct swallowing function trajectories: a low-risk group (46.1%), characterised by consistently low SSA scores below the dysfunction threshold (26 points); a rapid recovery group (24.6%), in which SSA scores declined to below 26 points within 24 hours after extubation and a high-risk group (29.3%), characterised by persistently elevated SSA scores above 26 points. Multinomial logistic regression analysis showed that age ≤50 years, absence of spinal cord injury or rib fractures, APACHE II score

Distinct trajectories of swallowing function recovery were observed in adult ICU patients after orotracheal extubation. Several clinical factors were associated with more favourable recovery patterns. These findings may help improve the understanding of heterogeneity in postextubation swallowing function and inform future risk stratification and individualised management strategies.

Ethics approval and consent to participate in the trial were approved by the Institutional Research Ethics Committee of General Hospital of Northern Theatre, Shenyang, Liaoning province, PR China (Project Number: Y (2023)232). Written informed consent was obtained from all participants. All procedures were conducted in accordance with relevant guidelines and regulations and the Declaration of Helsinki.

The functional resonance analysis method (FRAM) is increasingly used to analyse healthcare processes. FRAM uses four steps to analyse a process and its potential variability. We systematically reviewed studies using FRAM in healthcare on how the four steps in FRAM are reported, defined and supported by data.

Systematic review following the preferred reporting items for systematic reviews and meta-analyses 2020 guidelines.

Web of Science, PubMed, Embase, Scopus, PsycINFO, Dimensions and Lens were searched up to December 2025.

All peer-reviewed studies using FRAM in a healthcare context that presented a FRAM visualisation were included. The papers had to be written in English.

Two independent reviewers screened titles and abstracts, and subsequently the full text of selected papers. Data was extracted reporting on the steps of FRAM, how functions were supported by data, and the functions and couplings of the visualisations.

Sixty-eight papers were included, of which 20 (29%) reported at least one aspect of all four steps in FRAM. While most studies (85%) described how functions were supported by data, the methods used varied widely. Terminology was interpreted differently concerning variability, the output of variability and the effect of combined variability.

Most FRAM studies in healthcare do not report all steps of FRAM, and interpretations of key terms differ. FRAM studies should more clearly describe which steps of the method are conducted, and how data is collected and analysed. Refinement of FRAM guidelines, particularly on data use and terminology, would enhance consistency and comparability across studies.

CRD42024592858.

Glaucoma is an optic neuropathy caused by the gradual degeneration of retinal ganglion cells. This study aimed to investigate the knowledge, attitude and practice (KAP) towards glaucoma among ophthalmic inpatients.

A web-based questionnaire.

Local hospital.

Ophthalmic inpatients (n=1238).

The primary outcome was the patients’ KAP.

Multivariable logistic regression analysis showed that rural residence (OR=0.488, 95% CI 0.313 to 0.762, p=0.002), college education or above (OR=4.996, 95% CI 2.942 to 8.483, p

Ophthalmic inpatients might have moderate knowledge and attitude, but a proactive practice towards glaucoma. A history of glaucoma, previous glaucoma surgery, education level, residency and alcohol consumption were potentially associated with knowledge and attitudes towards glaucoma among ophthalmic inpatients.

Outcome reporting in studies on sacrococcygeal teratoma (SCT) is highly heterogeneous, which limits comparability across studies and thus hampers the development of international treatment guidelines.

Variation in treatment and access to facilities contributes to differences in outcome reporting between centres and countries. Establishing a Core Outcome Set (COS) can improve consistency in outcome reporting and facilitate global collaboration and data comparison. We therefore aim to develop a Core Outcome Set for SCT (COS-SCT) using the Delphi method to achieve consensus on key outcomes. This will enhance the standardisation of outcome reporting and improve the quality of research and clinical care for SCT patients globally.

The development of the COS-SCT will consist of three phases. First, a systematic review will be performed to identify outcomes reported in studies on the surgical treatment of SCT in children. Second, an international Delphi survey will be conducted among key stakeholders, including clinicians, researchers and patient representatives, to establish consensus on outcome prioritisation. Finally, a consensus meeting with representatives from all stakeholder groups will be held to ratify the final Core Outcome Set. The study will follow methodological guidance from the Core Outcome Measures in Effectiveness Trials (COMET) initiative and will be developed and reported in accordance with the Core Outcome Set Standards for Development (COS-STAD) and Core Outcome Set Standards for Reporting (COS-STAR).

The medical research ethics committee of the Amsterdam University Medical Centre (Amsterdam UMC) confirmed that the Dutch Medical Research Involving Human Subjects Act (WMO) does not apply to this study, and therefore a full review by the ethics committee is not required. This study is registered in the COMET initiative database. Results will be disseminated in peer-reviewed academic journals and conference presentations.

Trial registration number: COMET registration number 3485

The Chinese neuroimmunological disease database (NIDBase) cohort was established to explore genetic and environmental risk factors, clinical features, multi-omics data and prognostic biomarkers. The aim is to enhance our understanding of central nervous system (CNS) demyelinating diseases. Additionally, the establishment of this cohort will address the critical issue of the lack of comprehensive genetic data and biological samples for precision diagnosis and treatment research related to neuroimmunological diseases in China.

56 hospitals in various regions of China were selected to participate in this study. The patients diagnosed with CNS demyelinating diseases were recruited, including clinically isolated syndrome (CIS), multiple sclerosis (MS), neuromyelitis optica spectrum disease (NMOSD), myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) and autoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A).

At the time of patient enrolment, the clinical information is designated as baseline data. The collected baseline data include demographic information, disease history, clinical features of each demyelinating event, treatment records, standardised scales, questionnaire assessments and laboratory test results. Furthermore, biological samples, MRI and high-density electroencephalography (hd-EEG) data will be collected at baseline. All patients will be followed up at 3 months and 6 months and annually thereafter. As of December 2024, 3866 patients with CNS demyelinating diseases have been enrolled, including 84 CIS, 282 MOGAD, 1405 MS and 2095 NMOSD. Our findings indicate that CNS demyelinating diseases, particularly NMOSD, are more prevalent in women in China, with significant age differences observed among NMOSD patients compared with those with CIS, MS and MOGAD.

In future, all patients in our cohort will be followed up at 3 months and 6 months and then annually. By the end of December 2024, the database has been locked and is now being processed and analysed, while our data continue to be updated and expanded for further analysis. Both prospective and retrospective observations will be included in this study. Subsequent publications will emerge from this multicentre cohort, encompassing genomics, clinical cohort studies, hd-EEG biomarkers, imaging-based radiomics and electrical stimulation therapies.

NCT06443333.