To assess whether transgender women who have sex with men (TGWSM) sampled in men who have sex with men (MSM) biobehavioural surveys in Ukraine experience different levels of sexual risk, stigma, HIV prevalence and engagement in the HIV care than cisgender MSM (CMSM).

Analysis of secondary data from three population-level cross-sectional surveys.

The analysis was conducted on data from three rounds of integrated biobehavioural surveys of MSM in 27 cities of Ukraine from 2013 to 2018.

Data from n=18 621 MSM with n=18 102 CMSM and n=503 TGWSM.

The primary outcomes were differences in sexual risk behaviours, HIV testing and treatment uptake, and the secondary outcomes were differences in lifetime experiences of stigma, coercive sex and physical assault (in the 2018 survey only) between CMSM and TGWSM.

Compared with CMSM, TGWSM were more likely to be clients of non-governmental organisations (adjusted OR, aOR: 1.39, 95% CI 1.15 to 1.67), engage in commercial sex (last month; aOR: 1.28, 95% CI 1.01 to 1.61), have group sex (aOR: 1.31, 95% CI 1.06 to 1.61), more long-term sex partners (last month; adjusted incidence rate ratio: 1.14, 95% CI 1.03 to 1.27), history of imprisonment (aOR: 1.51, 95% CI 1.00 to 2.31) and engage in chemsex (last month, aOR: 1.58, 95% CI 1.12 to 2.23). We found no difference in HIV prevalence (5.17% in TGWSM vs 5.43% in CMSM, p=0.065). In 2018, more TGWSM reported lifetime experience of stigma from family and friends (aOR: 3.58, 95% CI 2.54 to 5.04), general social stigma (aOR: 3.13, 95% CI 2.22 to 4.41), anticipated healthcare stigma (aOR: 3.63, 95% CI 2.53 to 5.16), physical assault (aOR: 2.73, 95% CI 1.85 to 4.03) and coercive sex (aOR: 3.01, 95% CI 1.99 to 4.55) than CMSM.

TGWSM in Ukraine may be at increased risk of HIV acquisition compared to CMSM due to many factors including elevated levels of stigma and violence. Services specifically tailored for transgender people are needed to help reduce these high-risk behaviours.

Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and acceptable to users. However, to date, the efficacy of such technologies to improve perinatal mental health outcomes has been mixed. Within the perinatal context, much of this work has been done in the context of postpartum depression, stemming from electronic health records as well as cohort studies. There is, however, a dearth of studies focusing on depression in pregnancy, and machine learning-based clinical decision support systems remain underexplored. The HappyMums application has been developed to meet this need, and its use across Europe will be tested in this study.

A total of 1000 pregnant people currently suffering from, or at risk of, antenatal depression will be recruited across six countries. All participants will be between 13 and 28 weeks’ gestation and will be given access to the new purposefully developed HappyMums mobile application, to use from enrolment until 2 months postpartum. The application leverages passively collected data from smartphone sensors relating to physical activity and behaviour, as well as requiring active engagement from the user to complete mental health questionnaires and ‘game-like’ activities. Digital data types will be combined with traditional mental health measurement methods, such as standardised questionnaires and interviews, to develop novel predictive models capable of identifying mental health trajectories in women at risk of developing antenatal depression and to test the app’s utility for use as personalised risk prediction and depression identification tool. The primary outcome of this study is to determine what proportion of users will continue to use the mobile application and engage with its tasks and activities at least weekly, while secondary exploratory outcomes include assessing usability of the app and testing the predictive ability of a novel machine learning-based model. These outcomes will, for the first time, be assessed by integrating active as well as passive data.

Ethical approval has been granted by local research ethics committees in each recruiting centre. At King’s College London (leading the clinical study), the study was reviewed by the East of England—Essex Research Ethics Committee and granted favourable opinion (REC reference 24/EE/0129). All other sites collecting participant data have the study approved for local delivery. Findings relating to the primary and secondary outcomes will be submitted for publication in open access, peer-reviewed journals, as well as presentations at conferences as symposia or posters. Findings will be made available to a non-specialist audience through open access digital mental health magazines and promotion on social media.

NCT06578845.

This study investigates how lean management (LM) practices align with and contribute to strategic objectives in healthcare using the congruence model as a conceptual framework.

This study employed a qualitative research design, integrating both inductive and deductive approaches. Data were collected from multiple hospital departments using primary and secondary sources. Primary data included semi-structured interviews, guided by a standardised interview protocol. Secondary data consisted of reports on courses of action, annual reports, policy documents and findings from exploratory meetings. The analysis involved iterative cycles of open coding, axial coding and selective coding to systematically identify and refine themes, supporting thematic analysis.

Six departments: Kidney and vascular surgery, Care core movement, Clinical department, Systemic diseases, Oncology, Care core Hepato-Pancreato-Biliary disease (HPB), which were part of one business unit within a tertiary care institution, a University Medical Centre in the Netherlands.

22 respondents aged 18 years or older were purposefully selected based on their organisational roles and LM experience. Respondents had to be involved in LM practices, which meant they had to understand LM and have passed at least one LM training programme, or they should be enrolled in a training course during the research.

Interviewees identified several barriers to LM implementation, including insufficient management support for a culture of continuous improvement, limited time for LM projects, inadequate recognition from management and poor communication of strategic objectives. Despite positive individual experiences with LM projects, their contribution to strategic objectives was deemed limited due to these barriers. Specific challenges included an experienced lack of leadership commitment, inadequate follow-up on projects, insufficient resource allocation, limited access to training and leaders failing to acknowledge employee value. Facilitators of success were fostering a culture of continuous improvement, committed managers and providing training.

LM practices have the potential to contribute to strategic objectives in healthcare organisations by reducing waste, improving patient care quality and optimising processes. However, their impact is constrained by organisational barriers and misalignments. Challenges such as insufficient resources, poor project follow-up, lack of management support and the absence of a continuous improvement culture minimise LM’s effectiveness.

Anxiety and depression are among the top contributors to disability in the Kingdom of Saudi Arabia (KSA), but little is known about their economic impact. This study estimates the economic burden of moderate to severe symptoms of anxiety and depression among adults in KSA.

A cross-sectional survey was administered via a web panel. Participants were asked to fill out the Patient Health Questionnaire-4 (PHQ-4) for themselves and on behalf of other household members to capture prevalence rates. Those who reported at least moderate symptoms of anxiety or depression filled out a longer survey with questions on healthcare utilisation and productivity losses due to symptoms. These responses were monetised using prevalence rates and population estimates to calculate per-person and total annual costs.

Prevalence estimates are based on responses from 1164 participants on behalf of 3202 Saudi adults. Of these, 269 individuals with symptoms completed the longer survey.

Prevalence of anxiety and depression; healthcare utilisation (medications, outpatient, inpatient) and productivity losses due to absenteeism and presenteeism.

In total, 26.2% reported at least moderate symptoms consistent with anxiety and/or depression. Among those with symptoms, direct healthcare costs due to anxiety and depression averaged Saudi riyal (SAR) 3431.95 per person annually. Indirect costs via absenteeism and presenteeism averaged SAR 9702.87 and SAR 24 577.28 per person assuming that anxiety and/or depression episodes last for 6 months. Summing up the healthcare costs and productivity losses yields a total annual economic burden of SAR 163.3 billion. Absenteeism accounts for 24.8% of this total (SAR 40.5 billion), presenteeism accounts for 62.8% (SAR 102.5 billion) and healthcare resource utilisation accounts for 12.4%(SAR 20.3 billion).

The overall prevalence of anxiety and depression in KSA is estimated at 26.2%. The economic burden associated with these symptoms amounts to SAR 163.3 billion or 4.1% of GDP. Absenteeism and presenteeism costs account for the vast majority of the total, but a large percentage (nearly 60%) also report emergency department visits and unplanned hospital admissions. Evidence-based interventions should be considered to address the health and economic burden of these conditions in KSA.