To determine whether a novel urine collection device (the ‘Pee-in-Pot (PiP)’) produces the same rates of reportable urine culture results as standard of care (SOC) urine collection. To determine whether the PiP produces comparable microscopy results to SOC urine collection. To estimate the carbon footprint of the PiP compared to SOC urine collection.
A prospectively designed, single-centre, paired comparison study.
A district general hospital in Southwest England, including antenatal clinical, accident and emergency, medical and surgical ward environments.
Adults aged 18 or over.
Urine passed through the PiP device before being decanted into a 10 mL boric acid tube for microscopy and culture, compared with the same urine contained only in a sterile plastic vessel before being decanted into a boric acid tube for microscopy and culture.
The proportion of positive urine culture results.
The proportion of heavy mixed growth culture results. Comparison of particle counts: all small particles, bacteria, red blood cells and white blood cells.
Microscopy was performed for 1353 paired samples, of which 808 paired samples both underwent culture. Overall, urine cultures were positive in 9.3% (75/808) and 10.0% (81/808) of PiP and control cases, respectively. Overall matching between PiP and control arms for reportable positive culture results was 98.5% (796/808), with a Cohen’s Kappa test coefficient () of 0.9149 (almost perfect agreement). There was no significant difference in the rate of positive urine culture results between testing arms for any organisms (margin of non-inferiority prospectively defined as ±2.5% for Escherichia coli positive cultures). For microscopy, there was agreement in meeting culture thresholds for 1308 of 1353 paired samples with a difference in culturing rates of 0.00517 (95% CI –0.0045 to 0.015, ie, high level of agreement). The estimated base case carbon footprint of PiP testing was 95g CO2e compared to 270g CO2e for SOC testing.
This study found the PiP to be non-inferior for routine urine microscopy and culture testing and to have a lower carbon footprint compared with SOC urine testing.
Functional seizures (FS) are events that resemble epileptic seizures, but are not attributed to brain pathology and are instead thought to be due to psychological factors. A small, multisite, open-label, single-arm, pilot trial of a breathing intervention known as breathing control training (BCT) found it to be safe and effective in reducing seizure frequency in FS. We propose a protocol for a study to confirm these results.
A 24-week, multicentre, individually-randomised, assessor-blinded, two-arm, parallel-group efficacy and acceptability trial of BCT versus control (Befriending) in 220 participants ≥16 years of age with FS. Eligible participants will be randomly allocated to receive two sessions of either BCT or Befriending over a 4-week period. Sessions will be delivered by a respiratory physiotherapist at a clinical care site or via telehealth. They will complete assessments prior to commencing treatment and at 4, 12 and 24 weeks after their initial session of BCT/Befriending. The trial will be conducted alongside treatment as usual. An economic evaluation including cost-utility and cost-effectiveness analyses will be carried out from health sector and societal perspectives.
The study has been approved by The Austin Health Human Research Ethics Committee (HREC/84335/Austin-2022) and the New Zealand Central Health and Disability Ethics Committee (2022 FULL 12324). Findings will be reported to trial participants and consumers; presented at local, national and international conferences; and disseminated by a peer-reviewed scientific journal.
by Halid Worku Jemil, Sonia Worku Semayneh, Altaseb Beyene Kassaw, Kassahun Dessie Gashu
IntroductionSevere stunting is one of the primary public health challenges in LMIC including Eastern African Countries, which affects millions of children. In addition, it was a major contributor for mortality and related complication of children aged under five. However, there is limited study conducted severe form of stunting by employing Machine learning (ML) in Eastern African Countries. Therefore, our study was demonstrated to predict and identify its major determinants using ML algorithms, furthermore, to improve model explainablity. Our study used Shapley Additive explanations (SHAP) and ARM to identify the determinants of severe stunting among under-five.
Methodscross-sectional study was conducted using DHS data from 2012–2022 in East Africa. 136,074 children were the source populations, and 76,019 children were the study population. Data were analyzed using Python version 3.7 and R version 4.3.3 for data preprocessing, modeling, and statistical analysis. Model performance was evaluated using accuracy and AUC. Furthermore, the SHAP analysis and ARM was used to further explain and interpret the determinants of severe stunting among children under five.
ResultsThe Random Forest performed the best in this analysis, with an accuracy of 87% and an AUC score of 0.83. The analysis indicated that women’s who do not practicing exclusive breastfeeding (SHAP value = +0.41), being from Burundi (SHAP value = +0.04), children being underweight (SHAP value = +0.25), lived in poor household (SHAP value = +0.40), child gender being male(SHAP value = +0.23), mothers height being short (SHAP value = +0.03), mothers being underweight (SHAP value = +0.18), child size at birth being small (SHAP value = +0.21), women’s being delivered in home(SHAP value = +0.07), mothers education being primary (SHAP value = +0.20), unimproved toilet (SHAP value = +0.06), distance to health facility being a big problem (SHAP value = +0.02), were associated with increase the risk of severe stunting among under five.
ConclusionThe Random Forest was the best-performing model for predicting severe stunting in Eastern African countries. To decrease the effects of severe stunting, integrated interventions should provide support for mothers with lower socioeconomic conditions, strengthen maternal education, empower women to practice exclusive breastfeeding, encourage facility deliveries, increase access for households to sanitary facilities, provide education on personal and environmental hygiene, provide mothers with information on the importance of complementary feeding for children as well as for the mothers, and provide near health facilities for mothers and essential care services.