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Health cadres, who assist midwives in supporting pregnant women in community settings, need to enhance their competencies in identifying risk factors and referring high-risk pregnant women to midwives for further care. Since the capabilities of these health cadres are influenced by maternal complications, an educational programme was implemented to strengthen their skills. Therefore, this study aimed to evaluate the competency of health cadres by providing a researcher-developed educational programme.
An open-label, cluster non-randomised controlled trial.
Health cadres with at least 1 year of work experience were recruited at six public health centres (PHCs) in Banjarnegara Regency, Indonesia.
Six PHCs were selected and allocated into intervention group (IG=3 PHCs) and control group (CG=3 PHCs) groups. A total of 133 female health cadres were enrolled across the selected PHCs. At each PHC, a systematic random sampling method was used to select the participants. The researchers and health professionals provided a 3-week period of theoretical and scenario-based simulations to the IG, while the CG received no education.
Researcher-developed questionnaires and checklists were used to assess the knowledge, skills (health assessment, communication, attitude) and confidence. The primary endpoint was competency, a total score of knowledge and skills. The outcome domains were compared between the two groups, and a linear mixed-effect model was used to account for cluster-level variation.
A total of 130 (97.7%) completed the study (IG:64, CG:66). The competency score showed significant improvement at endline (CG=49.5 and IG=52.5; p=0.002). The median scores for health assessment skills (CG=12 vs IG=14; p
Education effectively increased the competency of health cadres. A well-structured education programme is necessary for health cadres to improve and maintain their competencies in monitoring high-risk pregnant women.
Nurses' health status significantly impacts their well-being and patient safety. Workflow interruptions, perceived workload, and missed nursing may potentially affect their physical and mental health. However, there is currently a lack of systematic studies on the relationships between these factors.
This study aims to explore how workflow interruptions influence nurses' health status through perceived workload and missed nursing, and provide strategies to promote nurses' health.
In October 2024, an online survey was conducted among 646 clinical nurses from three healthcare facilities in Henan Province. The survey covered nurses' demographic information, workflow interruptions, health status, perceived workload and missed nursing. Statistical analysis and model construction and validation were performed using SPSS 25.0 and AMOS 26.0 software.
Workflow interruptions were significantly negatively correlated with both physical component summary and mental component summary. Perceived workload and missed nursing served as mediators between workflow interruptions and physical and mental component summaries.
Workflow interruptions directly affect nurses' health status and indirectly influence it through perceived workload and missed nursing. Therefore, strategies should be implemented to optimise workflows, reduce workflow interruptions, lower perceived workload and take measures to minimise missed nursing. Future research could explore how to implement workflow optimization to improve nurses' health status effectively.
This study provides important guidance for improving nurses' health. The results reveal that optimising workflow and reducing work interruptions can effectively reduce nurses' perceived workload, thereby decreasing the occurrence of nursing omissions, and ultimately contributing to the overall improvement of nurses' health.
This study adhered to the cross-sectional Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.
No patient or public contribution.
We explored how key sociodemographic characteristics were associated with correct knowledge about antibiotics and antibiotic resistance (ABR) and appropriate usage of antibiotics from a One Health perspective among rural community members in Bangladesh.
Cross-sectional single-period survey.
Rural villages in Cumilla district, Bangladesh.
Eligibility criteria: aged ≥18. Across 50 clusters of villages, we approached 2160 community members and 2187 (98.8%) agreed to participate.
Primary outcomes: we collected two knowledge outcomes measuring the number of correctly answered binary/multiple-choice questions about (1) antibiotics and ABR and appropriate usage of antibiotics in relation to human illness and (2) antibiotics and ABR and appropriate usage of antibiotics in relation to animal health and the environment. Secondary outcomes: self-reported awareness of (1) antibiotics and (2) ABR.
Several sociodemographic characteristics were associated with variation in both knowledge outcomes. Education showed the strongest associations, with higher education levels associated with higher knowledge scores. For example, compared with having no formal/incomplete primary education, having higher education was associated with 10 percentage points (95% CI 8 to 12) and 6 percentage points (95% CI 3 to 8) higher mean knowledge scores for the knowledge outcomes 1 and 2, respectively. Having worked in the last month compared with not having worked was also weakly positively associated with both knowledge outcomes, and being female compared with being male was also weakly negatively associated with both knowledge outcomes.
Better public education is required to tackle ABR in Bangladesh but correct knowledge about antibiotics and ABR and appropriate usage of antibiotics in relation to humans, animals and the environment varies in relation to individuals’ education level, sex and working status. To maximise their effectiveness, interventions to tackle ABR must be flexible given recipients’ sociodemographic characteristics and pre-existing knowledge levels.
To identify factors influencing hypoglycaemia in patients with type 2 diabetes mellitus (T2DM) undergoing colonoscopy and to construct a predictive model for assessing hypoglycaemia risk.
A retrospective cohort study.
We retrospectively collected data on 598 T2DM patients who underwent colonoscopy and randomised them into a developmental cohort and a validation cohort in a 7:3 ratio. We used multivariate logistic regression to develop a predictive model for hypoglycaemia during colonoscopy and identify independent predictors in pre- and post-colonoscopy hypoglycaemia groups.
We identified 112 of 598 (18.7%) T2DM patients who experienced hypoglycaemia during the peri-colonoscopy period: 43 pre-colonoscopy, 61 post-colonoscopy and 8 at both junctures. Ultimately, five predictors—insulin, SGLT2 inhibitors, fasting after colonoscopy, fasting C-peptide and estimated glomerular filtration rate (eGFR)—were integrated into the predictive model. The AUC for predicting hypoglycaemia was 0.78 (95% CI, 0.71–0.84) and 0.82 (95% CI, 0.74–0.90) in the development and validation cohort, respectively. Variables associated with pre-colonoscopy hypoglycaemia included SGLT2 inhibitors, fasting C-peptide and eGFR, whereas the post-colonoscopy hypoglycaemia group was associated with metformin, duration of diabetes, fasting C-peptide and fasting after the examination.
This study successfully developed and validated a predictive model for assessing hypoglycaemia risk in T2DM patients during peri-colonoscopy.
Early identification of patients at high risk for peri-colonoscopy hypoglycaemia allows nurses to implement personalised preventive strategies. The predictive model enables clinical nurses to deliver tailored interventions based on individual risk factors, potentially reducing hypoglycaemia-related complications and improving patient safety outcomes.
This study provides nurses with a validated risk prediction tool for identifying high-risk type 2 diabetes patients during colonoscopy, enabling targeted blood glucose monitoring protocols and preventive interventions in clinical practice.
This study follows the STROBE guidelines for reporting cohort studies.
Diabetes patients contributed electronic health record datasets.
Rapid urbanisation in Bangladesh has posed significant challenges to the urban health system, particularly in the delivery of primary healthcare (PHC). The country’s PHC system is fragmented, involving public, non-government organization (NGO), private and informal providers, leading to inequitable access, high out-of-pocket expenditure and inefficiencies. Strategic purchasing, which links resource allocation to health priorities and outcomes, offers a potential pathway to strengthening urban PHC systems. This study aims to assess the current urban PHC system, examine stakeholders’ perspectives on the feasibility of strategic purchasing, understand community health needs and preferences and develop a policy framework for strategically purchasing PHC services in urban settings.
This study will follow a sequential mixed-methods approach, integrating qualitative and quantitative data. A scoping review will be conducted to assess the characteristics and funding modalities of the existing urban PHC purchasing mechanisms. Key informant interviews with stakeholders, including policy makers and health experts, will explore the strengths and challenges of the current urban PHC system and the feasibility of implementing strategic purchasing. Community healthcare needs and preferences will be examined through in-depth interviews (IDIs), focus group discussions (FGDs) and a discrete choice experiment (DCE) survey in urban informal settlements. Insights from IDIs and FGDs will inform the DCE survey, which will present hypothetical scenarios to participants to identify the most important attributes for improving PHC services. Qualitative data will be coded deductively and inductively, and DCE data will be analysed using latent class models, with sensitivity analyses conducted using the multinomial logit model. Findings will contribute to the development of a strategic purchasing framework, validated through consultation workshops with health system stakeholders.
Ethical approval has been obtained from the ethics committees in both Bangladesh and the UK. Findings will be disseminated through workshops, peer-reviewed publications, policy briefs and conference presentations.
While previous research has established that resilience is affected by various factors, these studies have primarily focussed on individual variables associated with resilience, without providing insights into how to influence the rate of change in resilience.
To examine the trajectory of resilience and identify the factors associated with changes in resilience among spousal caregivers of patients with newly diagnosed advanced cancer receiving treatment during the first 6 months.
An observational longitudinal study.
A total of 312 spousal caregivers of patients with newly diagnosed advanced cancer were recruited from January 2022 to December 2022 in Yancheng, China. Three data collection points were established, spanning from the first month to 6 months after initial cancer treatment. A latent growth model was employed to depict the resilience trajectory at various time points. A latent growth model with time-invariant covariates was adopted to determine the factors influencing resilience trajectory. The study adhered to the STROBE checklist for proper reporting.
Throughout the follow-up period, the participants experienced a significant increase in resilience. Gender, family income, the patient's health status, spirituality and belief in familism were significantly associated with the baseline resilience level. Moreover, family income, the patient's health status, spirituality, caregiver burden and belief in familism were significantly associated with the rate of resilience change over time.
Spousal caregivers demonstrated a linear increase in resilience during the first 6 months after initial treatment. Meanwhile, changes in resilience were influenced by multiple factors during the early phase of cancer treatment. Thus, more attention should be paid to early identification and implementation of targeted interventions.
Healthcare professionals should understand the change in resilience among spousal caregivers and conduct timely mental health interventions to enhance the resilience of families affected by cancer.
The Guidance for Reporting Involvement of Patients and the Public-Short Form reporting checklists were used to improve patient and public involvement.
Taking a dimensional view, this study aims to understand, among professional caregivers after patient deaths, the symptom distribution and development of the short-term bereavement reaction (SBR) network and the node-level links between the meaning of patient death (MPD) and the SBR network.
A cross-sectional secondary analysis was conducted with existing data from 220 Chinese urban hospital nurses and physicians who experienced the most recent patient death within a month. MPD was measured by the 10 formative items of the meaning of patient death model, and SBR was measured by the Short-term Bereavement Reactions Subscale of the Professional Bereavement Scale. Both Gaussian graphical network analysis and Bayesian network analysis were applied to the SBR network, and Gaussian graphical network analysis was used to estimate the MPD-SBR network.
Frustrated and guilty are central nodes in the regularized partial correlation SBR network. Meanwhile, a traumatic event and failure at work are important bridge nodes between the MPD network and the SBR network. In the Bayesian SBR network, moved by the family's understanding, moved by the family's gratitude and sad mainly drive other nodes.
After a patient death, nurses' and physicians' SBR networks feature professional-dimension symptoms at their core, while they follow ‘personal to professional’ and ‘concrete to abstract’ symptom development patterns. The personal meaning of a traumatic event and the professional meaning of a failure at work play key roles in bridging the MPD and SBR networks, and meanings of both the personal and the professional dimensions can link to professional-dimension reactions.
The manuscript followed the STROBE checklist for reporting cross-sectional studies.
No patient or public contribution.
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