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.
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.
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.
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.
FreshRSS 