This research aimed to explore student paramedics’ experiences of participating in group-based simulation activities used as part of their summative assessment. It sought to understand their perceptions of the effectiveness of group-based simulation in fostering learning and informing future assessment design.

A qualitative questionnaire-based study.

A UK higher education institution.

A total of 34 first-year (level 4) student paramedics from the September 2022 to September 2023 cohorts.

Following the completion of a summative assessment for the introduction to non-technical skills and simulation module, students were invited to reflect on their experiences of group-based simulation through an online questionnaire. The assessment incorporated team-based simulation scenarios intended to evaluate non-technical competencies within a realistic and supportive environment.

Four key themes emerged through thematic analysis of the responses: experiential learning; autonomous learning; reflective learning; and support and learning. These themes provide insights into the pedagogical value of group-based simulation, with students identifying both individual and collective benefits in developing non-technical skills within a group assessment framework.

Group-based simulation assessments enhance student engagement and promote collaborative decision-making in a context that mimics real paramedic practice. While students often associate realism with increased confidence, their experiences highlight complex interactions between perceived fidelity, assessment pressure and learning. This underscores the need to further investigate how group dynamics and authenticity influence learning outcomes in assessment-focused simulations.

Diets high in ultraprocessed food (UPF) are associated with poor health outcomes and weight gain. Healthcare workers are particularly at risk of consuming diets high in UPF due to erratic work patterns, high stress and limited access to fresh food at work. Despite this, no interventions to date have specifically targeted a reduction in UPF intake in healthcare workers.

This article describes the development and content of a 6-month behavioural support intervention targeting a reduction in UPF intake in UK healthcare workers. The intervention was offered to all participants who took part in the UltraProcessed versus minimally processed Diets following UK dietAry guidance on healTh outcomEs trial—a two-stage study in which Stage 1 was a controlled-feeding crossover randomised controlled trial of provided UPF versus minimally processed food (MPF) diets (published previously) and was completed before the start of Stage 2. Stage 2, reported here, aimed to support participants to reduce their UPF consumption, increase MPF and increase physical activity in real-world settings. The intervention was developed using the behaviour change wheel framework, which systematically links behavioural diagnoses to intervention functions, incorporating the capability, opportunity and motivation model for behaviour change. It included tailored one-to-one and group support sessions, bespoke digital and print resources and a mobile-optimised website. The detailed description is intended to support future replication and adaptation. The acceptability and feasibility of the intervention will be assessed using quantitative and qualitative data in a future paper.

Sheffield Research Ethics Committee approved the trial (22/YH/0281). Findings will be disseminated through peer-reviewed publications, conference presentations and summaries shared with participants and stakeholders.

NCT05627570.

Assess the magnitude of adverse pregnancy outcomes and associated factors among mothers who had operative vaginal delivery in Amhara Region Comprehensive Specialized Hospitals, 2024.

A cross-sectional study was conducted from 1 November 2024 to 20 February 2025.

Seven comprehensive specialised hospitals were included in the study.

The study was employed on 389 mothers who had operative vaginal delivery.

Systematic sampling was used. Data were collected via questionnaires, chart reviews and observation. Data were entered into Epi Data V.4.6 and analysed using V.25 statistical package of social sciences. Variables with p

Adverse pregnancy outcomes of operative vaginal delivery.

Adverse pregnancy outcomes of operative vaginal delivery were 42.2%. Among them, 46 (11.8%) had only maternal complications, 55 (14.1%) had only neonatal complications and 63 (16.2%) had both maternal and neonatal complications. Perineal tear 29 (7.5%) and episiotomy extension 31 (8%) were the most common maternal complications, while caput succedaneum 45 (11.6%) was the most neonatal complication. The most common indication of operative vaginal delivery was prolonged second stage 203 (52.2%). Vacuum-assisted delivery (AOR 0.53; 95% CI 0.29 to 0.96), two tractions (AOR 2.19; 95% CI 1.23 to 3.90), birth weight less than 2.5 kg (AOR 1.85; 95% CI 1.21 to 2.83) and mid fetal station (AOR 2.9; 95% CI 1.49 to 5.64) were significantly associated with adverse pregnancy outcomes.

Adverse pregnancy outcomes following operative vaginal delivery were high. Type of instrumental vaginal delivery, number of tractions, fetal birth weight and fetal station were significantly increased risks. Therefore, operators should minimise traction attempts during operative vaginal delivery to reduce adverse outcomes.

This study aimed to develop and validate a machine-learning (ML) model to predict iron deficiency without anaemia (IDWA) using routinely collected electronic health record (EHR) data. The primary hypothesis was that an ML model could achieve better accuracy in identifying low ferritin levels (

A retrospective cohort study.

Data were derived from secondary and tertiary care facilities within the eight-hospital Mount Sinai Health System, an urban academic health system.

The study included 211 486 adult patients (aged ≥18 years) with normal haemoglobin levels (≥130 g/L for men and ≥120 g/L for women) and recorded ferritin measurements.

The primary outcome was the prediction of low ferritin levels (

Data from 211 486 Mount Sinai Health System patients with normal haemoglobin levels and ferritin testing were analysed. The model used demographic data, blood count indices and chemistry results to identify low ferritin levels (

Of the 211 486 patients analysed, 19.56% (n=41 368) of the patients had low ferritin levels. In the low ferritin group, the mean age was 41.28 years with 89.64% females. In contrast, the normal ferritin group had a mean age of 50.14 years with 62.02% females. The model achieved an area under the curve (AUC) of 0.814. At a sensitivity threshold of 70%, the model had a specificity of 75.85%, with a positive predictive value of 37.6% and a negative predictive value of 92.41%. The model outperformed an alternative model based only on complete blood count indices (AUC 0.814 vs 0.741). Subgroup analysis showed that model accuracy varied by sex and age, with lower performance in premenopausal women (AUC 0.736) compared with postmenopausal women (AUC 0.793) and men (AUC of 0.832 in those under 60 years and 0.806 in those aged 60 and above).

The ML model provides an effective approach to screening for IDWA using readily available EHR data. Implementing this tool in clinical settings may facilitate early diagnosis of IDWA.

This study aimed to assess the proportion of nutrition-related information-seeking behaviour and its associated factors among pregnant women attending antenatal care at public hospitals in Bahir Dar City, northwest Ethiopia, 2023.

A cross-sectional quantitative supplemented with qualitative study design was conducted from March to April 2023 among 406 pregnant women. Pre-tested structured interviewer-administered and semistructured open-ended questionnaires were used to collect quantitative and qualitative data, respectively. Data were collected using the Kobo toolbox, and SPSS V.25 was used for analysis. Descriptive statistics were used to describe study subjects, and multivariate logistic regression analysis was employed to investigate the associated factors. The strength of associations was described using the OR with the corresponding 95% CI.

The study included 406 pregnant mothers with a median age of 28 with an IQR of 8 and 212 (52.2%) from rural settings. Of the total respondents, 173 (42.6%; 95% CI 37.7 to 47.6) of pregnant mothers were nutrition-related information seekers. Educational status, residence, monthly income and nutrition information literacy were significantly associated with nutrition-related information-seeking behaviour.

The proportion of nutrition information seeking among pregnant mothers in Bahir Dar City public hospitals was low. Lower educational status, low nutrition information literacy level, being from a rural residence and low monthly income are significantly associated factors.

Awareness creation for pregnant mothers from rural areas and with low educational status and improving nutrition information literacy of pregnant mothers are important activities to improve their nutrition information-seeking behaviour.