Conectar
Self-injurious behaviour (SIB) consists of persistent, repetitive movements that can result in serious injury without suicidal intent. These behaviours are prevalent among children with neurodevelopmental disorders, including profound autism. Although many individuals benefit from currently available therapies, some exhibit treatment-refractory SIB that necessitates ongoing use of personal protective equipment and restraint, presumably due to stronger neurobiological drivers. We recently completed a phase I, open-label clinical trial demonstrating the safety, feasibility and preliminary efficacy of bilateral deep brain stimulation targeting the nucleus accumbens (NAc-DBS) in children with profound autism and severe, refractory SIB. The objective of the proposed study is to characterise the effectiveness of NAc-DBS in treating severe, refractory SIB in this unique and vulnerable population.
A single-centre, randomised double-blinded, crossover trial is proposed. Informed by the results of our pilot study, 25 subjects with autism spectrum disorder and severe, refractory SIB will undergo bilateral NAc-DBS. Following a 4-week recovery period, participants will be randomised to either group A (stimulation ON then OFF) or group B (stimulation OFF then ON). Each block will last 12 weeks, separated by a 2-week washout period. Following completion of the second block, all participants will enter a 6-month open-label phase with stimulation ON. The primary outcome is the difference in the Repetitive Behaviour Scale–Revised total score, between DBS-ON and DBS-OFF conditions. Secondary outcomes include measures of quality of life, caregiver burden, daily logs of SIB events and direct observation of SIB under structured analogues.
The proposed trial has been approved by the institutional Research Ethics Board (1000081171). Trial results will be disseminated through peer-reviewed publications and conference presentations.
by Yuting Wang, Jun Li, Zhongsu Yu, Shuyuan Li, Yuxia Chen, Yun Pan, Liangping Cheng, Guangyuan Yu
Acute pancreatitis (AP) is a severe inflammatory disorder in which pyroptosis—a pro-inflammatory form of programmed cell death—may contribute to pathogenesis. However, the complete transcriptional profile of pyroptosis-related genes (PRGs) in AP and their potential as diagnostic biomarkers remain underexplored. This study aimed to systematically characterize pyroptosis-associated transcriptional signatures and identify the reliable biomarkers for diagnostic purposes. Three transcriptomic datasets from murine AP models were integrated to identify pyroptosis-related differentially expressed genes (PRDEGs). Functional enrichment and immune cell infiltration analyses were conducted to elucidate the biological pathways and immune microenvironment alterations associated with these genes. mRNA-transcription factor (TF) and mRNA-microRNA (miRNA) regulatory networks were constructed to investigate underlying molecular interactions. Machine learning techniques, including support vector machine (SVM) and least absolute shrinkage and selection operator (LASSO), were applied for feature selection, leading to the identification of key diagnostic markers and the development of a logistic regression model. The regression model were then assessed using an independent cohort of human peripheral blood samples. Eleven PRDEGs were identified, with enrichment observed in processes such as cytoskeletal organization, cell-substrate adhesion, and critical inflammatory signaling pathways, including MAPK and NF-κB. Immune infiltration analysis revealed significant correlations between these PRDEGs and various immune cell subsets, particularly M1 macrophages, Treg cells, and monocytes. A four-gene diagnostic signature, comprising ANXA3, IQGAP1, RELA, and VTN, was established through SVM and LASSO analysis. In the independent human cohort, the fixed-coefficient four-gene model demonstrated reduced discrimination, which likely reflects interspecies and tissue-specific variations. However, after optimizing the model to exclude non-significant predictors, a refined two-gene signature (ANXA3 and IQGAP1) exhibited improved accuracy, with excellent calibration and clinical net benefit. This study offers a comprehensive transcriptomic analysis of the pyroptosis-mediated landscape and immune microenvironment in AP. An optimized two-gene signature, comprising ANXA3 and IQGAP1, was validated in a human cohort with superior accuracy, reflecting critical disruptions in inflammatory pathways and cytoskeletal organization. Notably, ANXA3 demonstrated potential for stratifying disease severity. Although these markers hold potential for molecular diagnosis, further prospective studies are essential to establish their clinical specificity and generalizability across diverse populations.In the USA, an estimated 40–50 million operations are performed annually, with high rates of adverse events. Since the 1980s, report cards have been used for outcome measures and to improve safety of surgical care. As part of Making Healthcare Safer IV—an initiative aimed at publishing evidence-based reviews as they are completed to help healthcare leaders, researchers and policymakers act more quickly on evidence-supported practices—we performed an updated review on the certainty of evidence on patient safety practices related to the use of surgical report cards and outcome measurements.
Systematic review using the Grade of Recommendations Assessment, Development and Evaluation (GRADE) approach.
PubMed, Web of Science, Scopus and the Cochrane Library were searched from November 2011 to May 2023.
We included primary research studies (randomised control trials or observational studies with a comparison group, including pre–post studies) or observational studies that investigated a surgical report card in adult or paediatric surgical patients at the hospital or surgeon level in inpatient or outpatient settings. Excluded studies included: narrative reviews, scoping reviews, editorials, commentaries, abstracts, studies that measured only patient knowledge or levels of engagement or studies using local surgical dashboard data.
Screening and eligibility were done in duplicate, while data extraction was done by one reviewer and checked by a second reviewer. Specific items in the Risk Of Bias In Non-randomised Studies - of Interventions tool and a modification of the National Institutes of Health Tool were used to assess for bias in studies. Two reviewers assessed each study for risk of bias. A modified version of the GRADE framework was used to assess the certainty of evidence.
We identified 19 studies that met the inclusion criteria: 13 primary research studies and 6 descriptive studies of surgical collaboratives. Of the primary studies, nine used a pre–post or longitudinal study design and four used a regression discontinuity or concurrent controlled design. Seven of the studies were about the American College of Surgeons National Surgical Quality Improvement Project. Five studies were from single institutions and the remainder included nine to greater than 700 hospitals. Pre–post studies of report cards that prompted quality improvement (QI) programmes all reported improvements in outcomes, longitudinal studies reported benefits in some but not all outcomes and one in four controlled before-and-after studies reported a statistically significant mortality benefit. All studies, except for one, were at moderate or high risk of bias. Six collaboratives were identified with preliminary data.
Based on the above evidence, the theoretical rationale and parallel evidence in other settings, we judged that it was moderate certainty that report cards and outcomes measurements can improve surgical outcomes. However, given the evidence from studies where report cards were actively linked to institutional QI initiatives, we recommend that outcome data must be paired with actionable QI efforts to meaningfully improve patient outcomes.
Advance care planning for people with dementia is an important process to ensure that patient preferences are respected throughout disease progression. However, the complexity of advance care planning and the challenges in effective communication hinder its implementation. The lack of clear procedural guidance for health care teams and the limited research on practical issues such as building trust and resolving conflicts further complicate this process.
To explore the key components of and processes for advance care planning for people with dementia.
The authors conducted a comprehensive search of databases, including PubMed, Embase, Web of Science, the Cochrane Library, CINAHL, NICE, Open Grey, CNKI, and Wanfang. The inclusion criteria focused on studies reporting advance care planning practices and stakeholder perspectives related to dementia.
The review included 45 studies and identified key components and processes for successfully implementing advance care planning in dementia care. These components include enhancing readiness, capturing patient wishes, and executing those wishes. The implementation processes cover assessing participation capacity, selecting surrogate decision-makers, and identifying healthcare providers who implement advance care planning. As the condition of people with dementia progresses, the role of healthcare providers who implement advance care planning becomes increasingly important in advance care planning practices.
The success of advance care planning depends on the interconnection of multiple components, and the findings offer practical insights for improving the advance care planning process to ensure that the care preferences of people with dementia are respected throughout the progression of the disease.
PRISMA-ScR.
This is a review without patient and public contribution.
Pressure injury (PI) is common in the ICU and not well captured by single-risk tools such as the Braden scale. We aimed to develop and internally validate a machine-learning model to predict new-onset PI using routinely collected ICU data. This retrospective single-centre cohort included adult ICU patients with length of stay ≥ 48 h (2018–2023). The primary outcome was new-onset PI during ICU stay. Candidate predictors were pre-specified: minimum albumin, maximum lactate, SOFA, APACHE II, first recorded Braden score, age, BMI, a nutrition score and treatment indicators. Missing values were imputed (median/mode). A gradient boosting model (GBM) was evaluated with stratified 3-fold cross-validation; a random forest (RF) served as a benchmark (stratified 70/30 train–test split). Discrimination (AUC) was primary; calibration, Brier score, decision-curve analysis (DCA) and feature importance were secondary. Logistic regression quantified independent associations. Among included ICU stays, 14.6% developed PI. On multivariable analysis, higher lactate, lower albumin, lower Braden scores, older age, CRRT, prone positioning, enteral nutrition and analgesic exposure were associated with increased PI risk, whereas sedatives showed an inverse association. The GBM achieved AUC≈0.69 with acceptable calibration and net clinical benefit across thresholds commonly used in preventive workflows (≈0.10–0.50). Single markers or simple combinations displayed only modest discrimination. A GBM built from routine ICU data provided moderate, well-calibrated discrimination for predicting new-onset PI and demonstrated decision-relevant net benefit. The model can complement Braden-based screening by refining risk stratification and prioritising intensified prevention for patients most likely to benefit. External validation and prospective evaluation are warranted.
by Vu Nhi Ha, Le Chi Cao, Tran Hai Dang, Dao Thi Huyen, Nguyen Tien Dung, Le Huu Song, Nguyen Linh Toan, Truong Nhat My, Thirumalaisamy P. Velavan
BackgroundHepatitis E virus (HEV) causes sporadic outbreaks worldwide, with zoonotic and waterborne genotypes contributing to infections. In Vietnam, HEV genotypes 3 and 4 circulate among humans and swine, but data from remote, ethnic minority populations remain limited.
MethodsA cross-sectional study was conducted among 272 ethnic minority students at Thai Nguyen University of Medicine and Pharmacy (TUMP) to determine HEV infection markers and associated risk factors. Anti-HEV IgM and IgG were tested in serum samples using Wantai ELISA kits, and HEV RNA was detected by nested PCR targeting the ORF1 region. Demographic and exposure data were collected via structured questionnaires. Statistical analyses were performed using binary logistic regression.
ResultsOne participant (0.37%) tested positive for anti-HEV IgM, and 69 (25%) were positive for anti-HEV IgG, while HEV RNA was undetectable. HEV-IgG seroprevalence increased significantly with age (p = 0.004) but showed no sex-related differences. Consumption of tap or mixed water sources (p = 0.043) and raw or undercooked pork liver (p = 0.018) were significantly associated with HEV-IgG positivity. Multivariate analysis confirmed these factors as independent predictors of prior HEV exposure (adjusted OR = 1.6 and 4.8, respectively).
ConclusionsA moderate HEV seroprevalence among ethnic minorities indicates substantial prior exposure in northern Vietnam. Strengthening water sanitation, food safety awareness, and routine HEV surveillance is recommended to mitigate infection risk in vulnerable communities.
Skin-to-Skin Contact or Kangaroo Mother Care is an evidence-based intervention proven to enhance breastfeeding rates, improve cardiorespiratory stability and promote neurodevelopment in neonates. While established as a standard of care for stable term infants and increasingly recognised for preterm infants, the implementation of sustained skin-to-skin contact faces significant systemic and clinical challenges, particularly within the intensive care environment. This editorial argues that the focus must shift from when skin-to-skin contact is permitted to how sustained skin-to-skin contact can be universally integrated as a non-negotiable core practice, even for extremely preterm infants. Addressing practical barriers, such as staff training, equipment design, parental support and perceived clinical instability, is essential to realise the full potential of sustained skin-to-skin contact to optimise neurodevelopmental and physiological outcomes for all neonates, closing the gap between compelling evidence and inconsistent global practice.
Systematic reviews (SRs) require comprehensive, reproducible searches, yet developing search strategies is resource-intensive and demands specialized expertise. Generative AI offers potential to streamline this process, but empirical evaluations for GAI-assisted SR searching remain scarce. The objectives of this study are to: demonstrate a step-by-step process for developing a custom ChatGPT-based chatbot to support SR search strategy development, and evaluate its performance.
A cross-sectional evaluation study.
We used ChatGPT-4.0 to create a chatbot designed to mimic a medical librarian, generating PICO-informed searches. Its knowledge base was augmented with two methodological references. After piloting testing, we refined its instructions. For evaluation, we randomly sampled 50 Cochrane SRs published in 2024. Standardized P–I–O prompts produced database-ready queries for PUBMED and EMBASE. The primary outcome was per-review success rate, summarized by median and inter-quartile range. A sensitivity analysis was conducted.
Pilot testing achieved a retrieval rate of 41/49 (83.7%). In the main sample (1169 studies; median 13.5 studies per SR), the chatbot identified a median of 67.4% of included studies (IQR: 43.1%–88.4%). When limited to indexed studies (n = 1114), retrieval rose to 72.0% (IQR: 46.0%–92.5%). Lower performance was observed when outcomes were absent from the abstracts or interventions had many lexical variants.
A GAI-based chatbot can rapidly generate SR searches (~67%–72% identification), serving as a useful starting point but not a replacement for expert-led approaches. Integration of librarian expertise, structured prompts, and controlled vocabularies may improve performance. Further benchmarking and transparent reporting are needed to guide adoption.
To investigate diabetes family involvement, including supportive and nonsupportive family behaviours in China, and explore the relationships among opposite forms of family involvement, diabetes self-management and glycaemic control.
A cross-sectional study.
Type 2 diabetes patients were recruited from hospitals in Nanjing, Shanghai and Jinan, and communities across China, between April 2023 and August 2023. A total of 1648 patients completed questionnaires regarding diabetes family involvement, diabetes self-management, perceived glycaemic control and patient characteristics. Data analysis was conducted using SPSS 26.0 and PROCESS macro.
The mean scores for supportive and nonsupportive family behaviours were 19.14 out of 40 and 12.47 out of 30, respectively, resulting in an overall family involvement score of 6.67. Overall family involvement, especially supportive family behaviours, was positively related to diabetes self-management and perceived glycaemic control, whereas nonsupportive family behaviours were not. Diabetes self-management partially mediated the relationships between both overall family involvement and supportive family behaviours with perceived glycaemic control.
Diabetes family involvement was suboptimal. Overall family involvement, especially supportive family behaviours, could not only directly improve glycaemic control but also indirectly enhance it through promoting diabetes self-management.
The findings highlight the importance of promoting supportive family involvement and patient self-management in diabetes management.
This study endorses the necessity for healthcare professionals to integrate the family unit into diabetes management and implement interventions at the family unit level, to address the neglect of families in current interventions. It also advocates for promoting supportive family involvement rather than all family involvement in future interventions. Promoting supportive family involvement and patient self-management can better improve patients' glycaemic control and alleviate the burden on medical and social systems.
This study adheres to the STROBE guideline of reporting.
No Patient or Public Contribution.
Malaria remains a major public health challenge in India, with transmission dynamics varying widely across ecological, epidemiological, sociobehavioural and health system contexts. Achieving the national malaria elimination target by 2030 requires integrated, context-specific evidence to design effective interventions. This study aims to generate a comprehensive understanding of malaria transmission and factors surrounding it across diverse eco-epidemiological settings in India by assessing malaria burden, identifying determinants of transmission, evaluating health system performance and equity, characterising vector bionomics and insecticide resistance, and examining the influence of environmental drivers.
This longitudinal, multicentric study will be conducted in collaboration with the national programme in 12 districts spanning 10 states in India, covering a population of around 25 000 individuals representing varied ecological contexts (urban, periurban, rural, forest-foothill and coastal) and malaria endemicity levels. In each district, two clusters (villages) with a population of 1000 individuals will be included. A baseline mass survey will estimate malaria prevalence using bivalent rapid diagnostic tests (RDTs) and blood smear microscopy, with low-density parasitaemia detected by PCR in a subset of RDT-negative samples. Participants will be followed for 1 year, with monthly screening of symptomatic individuals using RDT and microscopy, and testing a subset of asymptomatic individuals to detect subclinical infections. Sociobehavioural data will be collected through structured interviews and household observations, with purposive inclusion of vulnerable groups, pregnant women, migrants, elderly persons, individuals with disabilities and tribal populations to assess equity dimensions through mixed-methods approaches. Health system performance will be evaluated through key informant interviews with programme officials, health workers, patients, private practitioners and traditional healers. Entomological surveillance will document vector species composition, density, infection rates and assessment of susceptibility status and intensity of insecticide resistance to commonly used public health insecticides. Environmental variables, including temperature, rainfall and humidity, will be linked with entomological and epidemiological data to explore spatiotemporal relationships.
The protocol was approved by the Institute Human Ethics Committee of ICMR-Vector Control Research Centre (IHEC 03-0125/N/F). All standard ethical practices will be adhered to. The findings will be shared with stakeholders and published in reputed open-access journals.
To develop and psychometrically test a comprehensive Cancer Nurse Self-Assessment Tool (CaN-SAT).
Modified Delphi to assess content validity and cross-sectional survey to assess reliability and validity.
Phase 1: An expert group developed the tool structure and item content. Phase 2: Through a modified Delphi, cancer nursing experts rated the importance of each element of practice and assessed the relevance and clarity of each item. Content Validation Indexes (CVI) were calculated, and a CVI of ≥ 0.78 was required for items to be included. Phase 3: Cancer nurses participated in a survey to test internal consistency (using Cronbach's alpha coefficients) and known-group validity (through Mann–Whitney U tests). This study was reported using the Guidelines for Reporting Reliability and Agreement Studies (GRRAS) checklist.
The CaN-SAT underwent two rounds of Delphi with 24 then 15 cancer nursing experts. All elements of practice were rated as important. Only three items achieved a CVI < 0.78 after round one; however, based on open-ended comments, 26 items were revised and one new item added. After round two, all items received a CVI above 0.78. The final tool consisted of 93 items across 15 elements of practice. Cronbach's alpha coefficients were between 0.92 and 0.98 indicating good reliability. Mann–Whitney U tests demonstrated significant differences between clinical nurses and advanced practice nurses across 13 out of 15 elements of practice.
The CaN-SAT is a comprehensive, valid and reliable tool that can be used for cancer nurses to self-assess current skill levels, identify their learning needs and inform decisions about educational opportunities to optimise cancer care provision.
The research team included three patient advocates from Cancer Voices NSW, who were actively involved in all aspects of the study and are listed as authors.
by Nguyen Thien Duc, Nguyen An Ninh, Nguyen Phi Trinh, Le Quang Tuyen, Nguyen Van Hung, Dinh Hoang Khanh, Nguyen Van Luat, Nguyen Huu Phuc Dai, Tran Duc Huy, Chu Duc Hoa, Tran Vuong The Vinh
PurposesAnatomy is fundamental in medical education, yet cadaveric dissection faces challenges including limited specimens, high costs, and chemical hazards. Interactive anatomy tables such as the Pirogov system offer innovative alternatives, but evidence from Southeast Asia is limited.
MethodsIn a prospective cohort, 188 medical students (139 in Y1 and 49 in Y2) were randomly assigned to the Pirogov table group (Group A, n = 99) or the cadaveric dissection group (Group B, n = 89). Knowledge acquisition was measured using a validated 20-item multiple-choice test before and after the intervention. Student perceptions were evaluated with a 10-item Likert-scale questionnaire covering four domains: knowledge and understanding, spatial visualization and relationships, learning experience and engagement, and effectiveness and practical value. Data were analyzed using paired and independent t-tests and Welch’s t-test.
ResultsBoth groups showed significant knowledge gains (Group A: 4.3 ± 1.65 to 5.2 ± 1.75, p Conclusion
The Pirogov table and cadaveric dissection were associated with similar short-term improvements in anatomy knowledge. Students valued the Pirogov table for visualization and engagement. These findings support integrating digital tools with cadaveric dissection to enhance anatomy education, particularly in resource-limited contexts.
The aim of this study was to innovatively utilise the BERTopic model for topic modelling in order to comprehensively identify and understand the factors contributing to bed falls.
Retrospective study.
The study collected 241 reports of bed fall accidents recorded by nurses from Peking University Third Hospital Nursing Department from 2014 to 2024. Among them, 102 reports met the inclusion and exclusion criteria.
This study follows the Minimum Information for Medical AI Reporting (MINIMAR). It collected patient bed fall reports from Peking University Third Hospital between 2014 and June 2024, preprocessed the texts, utilised the BERTopic library in Python for topic modelling, and manually aggregated secondary topics by combining visualisation results and professional knowledge.
We utilised cluster bar charts to visually display the distribution of the 22 secondary topics and further consolidated them into five core topics through the use of a topic distribution diagram and a topic similarity matrix diagram. These topics were related to patient factors, ward equipment and surroundings factors, medication risk factors, caregiver factors, and nursing practice factors. The study highlights the environment's specificity in bed falls, especially bedside safety and patient-bed rail interaction.
The innovation of this study lies in the successful utilisation of BERTopic technology to identify topics of risk factors for bed falls through alternative data sources, providing a scientific basis for formulating preventive measures. The findings aim to optimise nursing processes, improve ward environments and enhance educational training, ultimately reducing patient bed falls and enhancing medical safety, nursing quality and patient experience.
This study not only helps nurses identify risk factors for patient bed falls, but also provides important guidance for developing effective prevention strategies.
No patient or public contribution applied.
by Phi Ngoc Quang Tran, Anh Hoang Cu, Minh Ngoc Thuy Tran, Vy Ngoc Thuy Tran
BackgroundSkeletal Class III malocclusion is a severe dentofacial deformity that often requires surgical correction, but the associated risks have increased interest in non-surgical alternatives. The multiloop edgewise archwire (MEAW) technique has been used as a conservative option. The aim of this study was to investigate the dentoskeletal changes associated with the MEAW technique in treating skeletal Class III malocclusion, with a particular focus on improvements in anteroposterior bimaxillary relationships and comparison with surgical outcomes.
MethodsThis retrospective study included 60 patients with skeletal Class III malocclusion, comprising 30 treated with the MEAW technique and 30 matched patients who underwent orthognathic surgery. Dentoskeletal parameters were assessed on pre- and post-treatment lateral cephalograms. Pearson’s correlation analysis and multiple linear regression were performed to identify factors associated with improvements in anteroposterior relationships.
ResultsSignificant dental and skeletal changes were observed, including alterations in incisor inclination and bimaxillary measurements (p Conclusions
Although the effect is less pronounced than in the case of surgical intervention, the MEAW technique effectively improves anteroposterior bimaxillary relationships in skeletal Class III malocclusion. These findings suggest that MEAW is a valuable non-surgical alternative for selected skeletal Class III patients.
People living with HIV (PLWH) frequently encounter mental health symptoms. Yet, a notable gap exists regarding the divergence in core mental health symptoms among PLWH across developed and developing regions. This study aims to explore the differences in mental health symptom networks among PLWH in both developed and developing regions.
A multicenter cross-sectional study was conducted in China from April 2022 to April 2023. Six designated HIV hospitals enrolled 2436 participants, including 1430 PLWH from developed regions and 1006 PLWH from developing regions. The study assessed 40 mental health symptoms across six dimensions: somatization symptoms, negative affect, cognitive processes, cognitive function, interpersonal communication, and social adaptation among PLWH.
The diverse developed regions exhibited varying mental health symptoms among PLWH, particularly concerning their core symptoms. In the developed regions of China, PLWH predominantly experience core symptoms centered around “Sadness,” “Anger,” and “Distress.” In contrast, PLWH from developing regions tends to manifest core symptoms such as “Inability to integrate into society,” “Difficulty in managing daily work and study,” and “Hostility.”
The regional variation in mental health symptoms among PLWH underscores the disparities in their circumstances. This insight is crucial for crafting tailored intervention strategies for urban PLWH. In developed regions, psychological interventions such as catharsis and empathy are integral to clinical practice, while in less developed regions, family support interventions are paramount, given the limited social interactions available to PLWH.
This study was reported according to the STROBE checklist.
No patient or public contribution.
This study aims to develop an indicator system for assessing the humanistic care competencies of nurses in infectious disease hospitals and provide a scientific measurement tool to understand the current humanistic care competencies level of infectious disease nurses.
A mixed-methods design integrating qualitative interviews and a modified Delphi study.
Initially, we derived a list of potential indicators of humanistic care for nurses in infectious disease hospitals from literature reviews and interviews with a nominal group technique (n=41). Following this, 26 experts from across China participated in two Delphi rounds from May to July 2023. Then the indicators were screened, revised and supplemented using the boundary value method and expert opinions. Next, the hierarchical analysis method was utilised to determine the weights of the indicators.
The average effective response rate across the two Delphi rounds was 94%. The authority coefficients for the first and second rounds were 0.85 and 0.90, respectively, suggesting the experts were highly authoritative. There was a consistent rating among experts with a coordination coefficient for each indicator (p < 0.001). Ultimately, this study identified 4 primary indicators, 8 secondary indicators, and 35 tertiary indicators. The four primary indicators and their weights are basic care competency (0.158), therapeutic care competency (0.544), spiritual care competency (0.158) and safety care competency (0.140).
This research provides a scientifically rigorous and comprehensive framework to evaluate the humanistic care competencies of nurses in infectious disease hospitals in China. This system will serve as an effective tool for evaluating the humanistic care competencies of nurses in specialized infectious disease hospitals in China and other overseas regions.
This study provides a new tool to assess the humanistic care competencies of nurses in infectious disease hospitals. Form an effective humanistic care competencies index system that can be used to build and develop the need for nurses to possess different aspects of humanistic care competencies tailored to infectious disease patients in hospitals.
No patients or public contribution.
In patients with post-acute sequelae of COVID-19 (PASC), depression has been associated with symptom severity, the duration since infection and ongoing functional impairment. However, the interconnections between these factors remain inadequately understood.
This study aimed to explore the roles of depressive symptoms in moderating and mediating the relationships between post-COVID-19 conditions and functional capacity.
The PERCEIVE study recruited 1794 participants from Victoria and Tasmania through online advertisements based on possible PASC for a cross-sectional study. Of these, 461 participated in the longitudinal study. Post-COVID-19 duration and symptoms were recorded, and depressive symptoms and functional capacity were self-reported using the 9-item Patient Health Questionnaire and the Duke Activity Status Index (DASI), respectively. The association of depression with functional capacity was explored using ordinary least squares (OLS) regression, with companion OLS models, Sobel-Goodman tests and 1000 bootstrap iterations to assess mediation. Longitudinal data were analysed to assess changes in functional capacity and depressive symptoms over time, with mediation analysis using mixed models to explore depression as a mediator.
Participants had a mean DASI score of 35 (SD 21). Fatigue (18%), shortness of breath (11%) and chest pain (6%) were common symptoms, with severe depression linked to fatigue (93%) and shortness of breath (66%). The severity of post-COVID-19 symptoms was associated with severe depression (β=6.31, 95% CI 5.42 to 7.21) and reduced functional capacity (β=–6.40, 95% CI –9.20 to –3.61), with depression mediating 36% of the association between post-COVID-19 symptom severity and functional capacity. PASC was associated with higher depression scores (β=2.06, 95% CI 1.15 to 2.97) and lower functional capacity (β=–3.99, 95% CI –6.21 to –1.77), with depression mediating 51% of the association between PASC and reduced functional capacity. The longitudinal analysis suggested that depression is associated with the relationship between PASC and changes in functional capacity over time (unstandardised estimate=–5.16, p
Depression plays a key role in exacerbating post-COVID-19 functional impairment. This observation underscores the need for targeted physical and mental health interventions to enhance long-term recovery for those with severe conditions.
This study aims to develop dynamic networks and examine the longitudinal relationships of mental health symptoms among persons living with HIV (PLWH).
A longitudinal study.
We collected data between October 2022 and December 2022 using Wenjuanxing (Questionnaire Star), an online survey platform. The study tracked weekly data across 10 sessions, involving 123 PLWH in Beijing, China. A total of 40 mental health symptoms with six dimensions (somatization symptoms, negative affect, cognitive processes, cognitive function, interpersonal communication and social adaptation) were included in the symptom network, which consists of temporal, contemporaneous and between-person networks.
In the temporal network, ‘feeling inferior to others’ had the largest in-strength value, whereas ‘suicidal ideation’ exhibited the largest out-strength value. In the contemporaneous network, ‘feeling inferior to others’ showed the highest bridge strength, indicating it had the most connections to other mental health symptoms.
We found that ‘feeling inferior to others’ had the highest number of predictors, with up to seven mental health symptoms potentially triggering this particular symptom. Additionally, ‘suicidal ideation’ emerged as a powerful predictor, influencing the greatest number of mental health symptoms across five dimensions.
Our study enhances the understanding of the sequential development and consequences of mental health symptoms among PLWH, which may provide an important basis for designing precise mental health symptom management interventions.
This study was reported according to the STROBE checklist.
No patient or public contribution.
Healthcare waste production is a significant contributor to carbon emissions, negatively impacting the environment. Ineffective healthcare waste disposal results in greater measures to manage it which is costly to both the environment and healthcare organizations. This study aimed to improve waste management in a tertiary maternity hospital. Specifically, the impact of a midwife-led intervention to improve waste segregation, staff knowledge and attitudes and waste management-related costs was investigated.
A multi-method study including pre- and post-intervention staff waste management knowledge and attitude surveys and waste audits of bins located on the postnatal ward.
The intervention included education sessions, posters and signage by waste bins and monthly newsletters distributed throughout 2021 to raise staff awareness of correct waste segregation processes. Pre- and post-intervention surveys were distributed in early 2021 and early 2022, respectively. The waste audits occurred on three occasions, January, July and December of 2021. The waste audit included total waste in kilograms (kg), waste in kg by segregation and identification of correct and incorrect segregation. Waste audit and quantitative staff survey data were analysed using descriptive statistics and chi square. Qualitative data from the staff surveys were analysed using content analysis.
Knowledge and attitudes to waste management were similar across pre- and post-intervention staff surveys. Knowledge of accurate allocation of specific items to waste streams was variable with errors identified in both the pre- and post-surveys. Waste audit data showed reductions in clinical waste at each measurement, with a 71.2% decrease in clinical waste from baseline to the final audit. Accuracy of waste segregation also improved from the baseline to final audit, resulting in a 48% reduction in waste management costs.
The midwife-led initiative improved waste segregation and achieved the associated waste management cost reduction.
A midwifery-led initiative to address waste production and segregation on a maternity ward had a positive impact on waste segregation practices and associated waste management costs. The existence of change champions along with in-service sessions, posters and newsletters to raise awareness of correct waste segregation resulted in a 71% reduction of incorrect items being placed in clinical waste bins. Challenges such as COVID-19 pressures and workload made it difficult for midwives to engage in waste management education and effective waste segregation.
No patient or public contribution.
Implementing clinician-led waste management interventions across hospital wards while addressing workload issues are likely to have significant cost benefits for organisations and minimise the environmental impacts of healthcare settings.
To understand the current situation of nurses' compassion competence and analyse the characteristics and influencing factors of different categories of nurses' compassion competence based on latent profile analysis, to provide a theoretical basis for formulating targeted compassion training programmes.
A cross-sectional study.
From June to October 2023, 550 nurses from tertiary grade A hospitals in Shandong province were selected by convenience sampling and investigated by utilising a demographic characteristics questionnaire, the Compassion Competence Scale for the Nurses, the Mindful Attention Awareness Scale and the Maslach Burnout Inventory-Human Service Survey. Latent profile analysis was performed to explore the potential categories of nurses' compassion competence, and single-factor analysis and logistic regression analysis were used to explore the related influencing factors.
A total of 513 nurses were included. The compassion competence of nurses could be divided into four categories: the compassion competence deficient group (7.56%), the compassion competence low-imbalanced group (15.35%), the compassion competence high-balanced group (50.38%) and the compassion competence excellent group (26.70%). Department, years of working, humanistic care training experience, whether work is supported by colleagues and leaders, mindfulness and job burnout were the influencing factors of different potential categories (all p < 0.05).
There are four categories into which nurses' compassion competency can be categorised. Nursing managers and medical institutions can formulate precise training methods that enhance nurses' compassion competency based on the traits of various nurse categories in order to improve the quality of nursing service.
The results of this study help to understand the categories and heterogeneity of nurses' compassion competence and provide a basis for nursing managers and medical institutions to improve the compassion competence of different categories of nurses.
All participants were nurses who completed an electronic questionnaire related to this study.
FreshRSS 