Tag: statistics

J Glob Health. 2024 May 10;14:04092. doi: 10.7189/jogh.14.04092.

ABSTRACT

BACKGROUND: Medical oxygen is essential for managing hypoxaemia, which has a multifactorial origin, including acute and chronic lung diseases such as pneumonia, asthma, and severe malaria. The coronavirus disease 2019 (COVID-19) revealed substantial gaps in the availability and accessibility of safe medical oxygen, especially in low- and middle-income countries (LMICs). This study aimed to assess the availability and sources, as well as the barriers to the availability of functional medical oxygen in hospitals in Cameroon.

METHODS: This was a nationwide cross-sectional descriptive study conducted from 26 March to 1 June 2021. Using a convenient sampling technique, we sampled accredited public and private COVID-19 treatment centres in all ten regions in Cameroon. Representatives from the selected hospitals were provided with a pre-designed questionnaire assessing the availability, type, and state of medical oxygen in their facilities. All analyses were performed using R.

RESULTS: In total, 114 hospitals were included in this study, with functional medical oxygen available in 65% (74/114) of the hospitals. About 85% (23/27) of the reference hospitals and only 59% (51/87) of the district hospitals had available functional medical oxygen. Compared to district hospitals, reference hospitals were more likely to have central oxygen units (reference vs. district: 10 vs. 0%), oxygen cylinders (74 vs. 42%), and oxygen concentrators (79 vs. 51%). The most common barriers to the availability of medical oxygen were inadequate oxygen supply to meet needs (district vs. reference hospitals: 55 vs. 30%), long delays in oxygen bottle refills (51 vs. 49%), and long distances from oxygen suppliers (57 vs. 49%).

CONCLUSIONS: The availability of medical oxygen in hospitals in Cameroon is suboptimal and more limited in districts compared to reference hospitals. The cost of medical oxygen, delays related to refills and supplies, and long distances from medical sources were the most common barriers to availability in Cameroon.

PMID:38726546 | DOI:10.7189/jogh.14.04092

Swiss Dent J. 2023 Oct 4;134(2):1-17. doi: 10.61872/sdj-2024-06-01.

ABSTRACT

Large language models (LLMs) such as ChatGPT have potential applications in healthcare, including dentistry. Priming, the practice of providing LLMs with initial, relevant information, is an approach to improve their output quality. This study aimed to evaluate the performance of ChatGPT 3 and ChatGPT 4 on self-assessment questions for dentistry, through the Swiss Federal Licensing Examination in Dental Medicine (SFLEDM), and allergy and clinical immunology, through the European Examination in Allergy and Clinical Immunology (EEAACI). The second objective was to assess the impact of priming on ChatGPT’s performance. The SFLEDM and EEAACI multiple-choice questions from the University of Bern’s Institute for Medical Education platform were administered to both ChatGPT versions, with and without priming. Performance was analyzed based on correct responses. The statistical analysis included Wilcoxon rank sum tests (alpha=0.05). The average accuracy rates in the SFLEDM and EEAACI assessments were 63.3% and 79.3%, respectively. Both ChatGPT versions performed better on EEAACI than SFLEDM, with ChatGPT 4 outperforming ChatGPT 3 across all tests. ChatGPT 3’s performance exhibited a significant improvement with priming for both EEAACI (p=0.017) and SFLEDM (p=0.024) assessments. For ChatGPT 4, the priming effect was significant only in the SFLEDM assessment (p=0.038). The performance disparity between SFLEDM and EEAACI assessments underscores ChatGPT’s varying proficiency across different medical domains, likely tied to the nature and amount of training data available in each field. Priming can be a tool for enhancing output, especially in earlier LLMs. Advancements from ChatGPT 3 to 4 highlight the rapid developments in LLM technology. Yet, their use in critical fields such as healthcare must remain cautious owing to LLMs’ inherent limitations and risks.

PMID:38726506 | DOI:10.61872/sdj-2024-06-01

J Hand Surg Asian Pac Vol. 2024 May 10. doi: 10.1142/S2424835524500176. Online ahead of print.

ABSTRACT

Background: Simulation models enable learners to have repeated practise at their own time, to master the psycho-motor and sensory acuity aspects of surgery and build their confidence in the procedure. The study aims to develop and evaluate the feasibility of a low-cost drilling model to train surgeons in the drilling task. The model targets three aspects of drilling – (1) Reduce plunge depth, (2) Ability to differentiate between bone and medullary canal and (3) Increase accuracy drilling in various angles. Methods: This cross-sectional study was conducted after obtaining ethics approval. We invited Consultants in the field of Orthopaedic or Hand Surgery to form the ‘expert’ group, and the ‘novice’ group consisted of participants who had no prior experience in bone drilling. We developed a drilling simulator model made from a polyvinyl chloride (PVC) pipe filled with liquid silicone. This model cost less than US$5. An electric Bosch drill (model GBM 10 RE) with a 1.4 mm K-wire 10 cm in length (6.5 cm outside the drill) was used for drilling. The main outcomes of the study were time taken for drilling, plunge depth, ability to penetrate the far cortex and accuracy. Results: Thirty-one participants were recruited into the study, of which 15 were experts and 16 were novices. The experts performed significantly better for plunge depth (t = -3.65, p = 0.0003) and accuracy (t = -2.07, p = 0.04). The experts required 20% less time to complete the drilling tasks, but it was not statistically significant (t = -0.79, p = 0.43). Conclusions: The low-cost drilling model could be useful in training Residents in the drilling task. It will allow Residents to practise independently at their own time and assess their own performance.

PMID:38726489 | DOI:10.1142/S2424835524500176

J Magn Reson Imaging. 2024 May 10. doi: 10.1002/jmri.29447. Online ahead of print.

ABSTRACT

BACKGROUND: Accurate determination of human epidermal growth factor receptor 2 (HER2) is important for choosing optimal HER2 targeting treatment strategies. HER2-low is currently considered HER2-negative, but patients may be eligible to receive new anti-HER2 drug conjugates.

PURPOSE: To use breast MRI BI-RADS features for classifying three HER2 levels, first to distinguish HER2-zero from HER2-low/positive (Task-1), and then to distinguish HER2-low from HER2-positive (Task-2).

STUDY TYPE: Retrospective.

POPULATION: 621 invasive ductal cancer, 245 HER2-zero, 191 HER2-low, and 185 HER2-positive. For Task-1, 488 cases for training and 133 for testing. For Task-2, 294 cases for training and 82 for testing.

FIELD STRENGTH/SEQUENCE: 3.0 T; 3D T1-weighted DCE, short time inversion recovery T2, and single-shot EPI DWI.

ASSESSMENT: Pathological information and BI-RADS features were compared. Random Forest was used to select MRI features, and then four machine learning (ML) algorithms: decision tree (DT), support vector machine (SVM), k-nearest neighbors (k-NN), and artificial neural nets (ANN), were applied to build models.

STATISTICAL TESTS: Chi-square test, one-way analysis of variance, and Kruskal-Wallis test were performed. The P values <0.05 were considered statistically significant. For ML models, the generated probability was used to construct the ROC curves.

RESULTS: Peritumoral edema, the presence of multiple lesions and non-mass enhancement (NME) showed significant differences. For distinguishing HER2-zero from non-zero (low + positive), multiple lesions, edema, margin, and tumor size were selected, and the k-NN model achieved the highest AUC of 0.86 in the training set and 0.79 in the testing set. For differentiating HER2-low from HER2-positive, multiple lesions, edema, and margin were selected, and the DT model achieved the highest AUC of 0.79 in the training set and 0.69 in the testing set.

DATA CONCLUSION: BI-RADS features read by radiologists from preoperative MRI can be analyzed using more sophisticated feature selection and ML algorithms to build models for the classification of HER2 status and identify HER2-low.

TECHNICAL EFFICACY: Stage 2.

PMID:38726477 | DOI:10.1002/jmri.29447

J Am Coll Emerg Physicians Open. 2024 May 8;5(3):e13174. doi: 10.1002/emp2.13174. eCollection 2024 Jun.

ABSTRACT

OBJECTIVES: Earlier electrocardiogram (ECG) acquisition for ST-elevation myocardial infarction (STEMI) is associated with earlier percutaneous coronary intervention (PCI) and better patient outcomes. However, the exact relationship between timely ECG and timely PCI is unclear.

METHODS: We quantified the influence of door-to-ECG (D2E) time on ECG-to-PCI balloon (E2B) intervention in this three-year retrospective cohort study, including patients from 10 geographically diverse emergency departments (EDs) co-located with a PCI center. The study included 576 STEMI patients excluding those with a screening ECG before ED arrival or non-diagnostic initial ED ECG. We used a linear mixed-effects model to evaluate D2E’s influence on E2B with piecewise linear terms for D2E times associated with time intervals designated as ED intake (0-10 min), triage (11-30 min), and main ED (>30 min). We adjusted for demographic and visit characteristics, past medical history, and included ED location as a random effect.

RESULTS: The median E2B interval was longer (76 vs 68 min, p < 0.001) in patients with D2E >10 min than in those with timely D2E. The proportion of patients identified at the intake, triage, and main ED intervals was 65.8%, 24.9%, and 9.7%, respectively. The D2E and E2B association was statistically significant in the triage phase, where a 1-minute change in D2E was associated with a 1.24-minute change in E2B (95% confidence interval [CI]: 0.44-2.05, p = 0.003).

CONCLUSION: Reducing D2E is associated with a shorter E2B. Targeting D2E reduction in patients currently diagnosed during triage (11-30 min) may be the greatest opportunity to improve D2B and could enable 24.9% more ED STEMI patients to achieve timely D2E.

PMID:38726468 | PMC:PMC11079543 | DOI:10.1002/emp2.13174

NPJ Nat Hazards. 2024;1(1):7. doi: 10.1038/s44304-024-00006-x. Epub 2024 May 7.

ABSTRACT

A new time-dependent probabilistic tsunami risk model is developed to facilitate the long-term risk management strategies for coastal communities. The model incorporates the time-dependency of earthquake occurrence and considers numerous heterogeneous slip distributions via a stochastic source modeling approach. Tidal level effects are examined by considering different baseline sea levels. The model is applied to Tofino, British Columbia, Canada within the Cascadia subduction zone. High-resolution topography and high-quality exposure data are utilized to accurately evaluate tsunami damage and economic loss to buildings. The results are tsunami loss curves accounting for different elapsed times since the last major event. The evolutionary aspects of Tofino’s time-dependent tsunami risk profiles show that the current tsunami risk is lower than the tsunami risk based on the conventional time-independent Poisson occurrence model. In contrast, the future tsunami risk in 2100 will exceed the time-independent tsunami risk estimate.

PMID:38726463 | PMC:PMC11076221 | DOI:10.1038/s44304-024-00006-x

Food Sci Nutr. 2024 Feb 25;12(5):3080-3096. doi: 10.1002/fsn3.4000. eCollection 2024 May.

ABSTRACT

Consumption of plum does not yet clearly affect the lipid profile. To ascertain the advantages of plum consumption on adult lipid profiles, we conducted a systematic review and meta-analysis. We used pertinent keywords to search the databases of PubMed, Scopus, and ISI Web of Science up to November 10th, 2022, in order to find trials that were eligible. According to the analyses, eating plum significantly lowers LDL levels compared to controls (WMD: -12.50 mg/dL, 95% CI: -22.06, -2.94, p = .010). Although plum consumption did not result in significant changes in TG (WMD: 0.56 mg/dL, 95% CI: -6.02, 7.15, p = .866), TC (WMD: -12.35 mg/dL, 95% CI: -25.05, 0.37, p = .057), and HDL concentrations (WMD: -0.39 mg/dL, 95% CI: -4.69, 3.89, p = .855) compared to the control group. Intake of plums, particularly the intervention type of dried plums, significantly decreased TC levels in unhealthy subjects, according to subgroup analysis. The consumption of plums had a notably statistically significant effect on LDL levels when the intervention type was dried plum and unhealthy subjects were enrolled. Due to the very low to moderate quality of meta-evidence, to show how eating plum improves lipid profile, further high-quality research are still essential.

PMID:38726435 | PMC:PMC11077222 | DOI:10.1002/fsn3.4000

J Pregnancy. 2024 May 2;2024:1474213. doi: 10.1155/2024/1474213. eCollection 2024.

ABSTRACT

Background: The early postnatal period is defined as the first 48 h to 7 days after delivery. The early postnatal visit is especially the most critical time for the survival of mothers and newborns, particularly through early detection and management of postpartum complications. Despite the benefits, most mothers and newborns do not receive early postnatal care services from healthcare providers during the critical first few days after delivery. Objectives: This study is aimed at assessing the prevalence of early postnatal care utilization and associated factors among mothers who gave birth within the last 6 weeks in Hosanna town, Southern Ethiopia, from April 20 to May 30, 2022. Method: A community-based cross-sectional study was conducted in Hadiya Zone, Hosanna town, Southern Ethiopia. A simple random sample technique was used to recruit 403 mothers who had given birth in the previous 6 weeks from a family folder. Data was collected through face-to-face interviews using a standardized questionnaire. Binary logistic regression was used to assess the association between outcomes and explanatory variables, and the strength of the association was interpreted using an odds ratio with a 95% confidence interval. In our study, p values of 0.05 were considered statistically significant. Results: The prevalence of early postnatal care utilization among mothers who gave birth within 1 week of the study area was 25.8% (95% CI: 21.7-30.0). No formal and primary educational level of husband (AOR = 0.05, 95% CI: [0.02, 0.16]), antenatal care follow-up (AOR = 2.13, 95% CI: [1.11, 4.1]), length of hospital stay before discharge (≥24 h) (AOR = 0.3, 95% CI: [0.16, 0.55]), and information about early postnatal care utilization (AOR = 3.08, 95% CI: [1.72, 5.52]) were factors significantly associated with early postnatal care utilization. Conclusion: In comparison to World Health Organization standards, the study’s overall prevalence of early postnatal care utilization was low. Early postnatal care use was significantly associated with antenatal care follow-up, the husband’s educational level, knowledge of early postnatal care use, and length of stay at the health institution following birth. As a result, the strength of health facilities is to improve service provision, information education, and communication.

PMID:38726388 | PMC:PMC11081751 | DOI:10.1155/2024/1474213

BMC Pediatr. 2024 May 9;24(1):280. doi: 10.1186/s12887-024-04721-2.

ABSTRACT

BACKGROUND: The issue of Infant and Young Child Feeding practices was widespread; it was estimated that infants were not exclusively breastfed in the first six months of life. Complementary foods were frequently provided too soon or too late, and they were often nutritionally deficient. Even, there are nutrition-sensitive activities like irrigation schemes, evidence on infant and young child feeding practices between irrigated and non-irrigated areas is scarce or limited.

OBJECTIVE: To assess the prevalence of infant and young child feeding practices among 0-23 months of age children in irrigated and non-irrigated areas of Dangila District, North-west Ethiopia, 2020.

METHODS: A community based comparative cross-sectional study was conducted from Dec 1, 2020, to Jun 1, 2020. A stratified sampling technique was implemented to select 823 mothers with children age 0-23 months from irrigated (411) and non-irrigated (412) kebeles. Data were collected using structured questionnaires. Multivariable logistic regression was used to identify the associated factors of infant and young child feeding practice. Adjusted odds ratios with a 95% CI were used to determine the degree of association between the independent and outcome variables. A p-value < 0.05 was used as a cutoff point to declare statistically significant variables with the outcome variable.

RESULTS: Among 823 households visited, 802 respondents with a response rate of 97.8% in irrigated and 96.11% in non-irrigated areas gave complete responses. The overall prevalence of good IYCF practice was 62.5% (95% CI: 34.2, 41.3), and it shows a significant difference between irrigated (72.2%) and non-irrigated areas (52.8%). Moreover, the study identified that education primary and above (AOR = 1.889, 95% CI: 1.38, 2.648) knowledge above mean (AOR = 2.347, 95% CI: 1.555, 3.542), positive attitude (AOR = 1.716, 95% CI: 1.139, 2.587), PNC follow-up (AOR = 1.606, 95% CI: 1.154, 2.360), women’s decision-making power (AOR = 1.840, 95% CI: 1.226, 2.763), and multiple delivery (AOR = 0.352, 95% CI: 0.213, 0.583) were significant factors for IYCF among 0-23 month-old children.

CONCLUSION AND RECOMMENDATIONS: The infant and young child feeding practice among 0-23 month-old children was better in an irrigated area than in a non-irrigated area. Promoting irrigation practices, empowering women, and strengthening postnatal care are recommended interventions to increase infant, young, and child feeding practices in the study area.

PMID:38725002 | DOI:10.1186/s12887-024-04721-2