bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comprehensive study of modified three-month pediatrics training curriculum at Shahid Beheshti University of Medical Sciences and its impact on student satisfaction
Authors: Hosseini Amirhossein , Fathi Mobina , Saadati Nahid , Vahidshahi Koroush , Nasehi Mohammadmahdi , Karbasian Fereshteh , Sayyari Aliakbar , Malek Fatemeh , Hajipour Mahmoud 
Published: April 2024

Abstract
Objectives
Continuous curriculum improvements reveal the dedication of policy-makers to raising the quality of education and student learning. This study aims to report the impact of curriculum changes to the three-month pediatric course curriculum at Shahid Beheshti University of Medical Sciences (SBMU) on the satisfaction levels of medical students.

Methods
One hundred eighteen 4th-5th years medical students, who had completed their pediatric clinical rotation in SBMU-affiliated teaching hospitals including Mofid Children Hospital, Loghman Hakim Hospital, Shohada-e-Tajrish Hospital, and Imam Hossein Hospital from January to December 2022 were included in this cross-sectional study. After obtaining informed consent, a questionnaire was sent out to all participants, that included 27 statements about the impact of the modified curriculum on their satisfaction with their learning and performance. SPSS version 22 was used to analyze the data.

Results
The level of satisfaction of trainees from attending clinics was 82-56%, prior introduction to the course was about 82%, and attending general hospitals (all hospitals except Mofid Children hospital, which is the only children hospital affiliated to SBMU) was 82-97%. The quality of patients-based learning was reported in terms of attendance at morning report sessions which was 92.3%, attendance at ward rounds, which was 71.8%, and attendance at clinics, which was 62.4%. The satisfaction rate from the senior attending mentor was 96.5%. The satisfaction rate of the pathology course was 67.2%, and the radiology was 82.4%. The satisfaction level of medical students from the infectious disease department was 70% and the gastroenterology department was 83.8%. The level of satisfaction with the implementation of the twelve-week program was 68.7%, with the expressiveness and usability of the presentation of materials was 53.9%, with the compatibility of the exams with the presented materials was 92%, and withholding weekly exams was 86.8%. The satisfaction rate of using the materials presented in the final exam in the digestive department and the infectious department was 85% and 68%, respectively. The overall satisfaction rate of the training course was 76.66%.

Conclusion
The results provide vital insights for improving medical education. According to this study, medical student satisfaction with the pediatric curriculum after its recent revisions was in a satisfactory range. Attendance at clinics, information sharing, patient-based learning, practical training, attending mentorship, curriculum clarity, and alignment with student expectations all contributed to participants' high levels of satisfaction.
Entrustable professional activities-based objective structured clinical examinations in a pharmacy curriculum
Authors: Nasser Soumana C. , Kanbar Roy , Btaiche Imad F. , Mansour Hanine , Elkhoury Reine , Aoun Carl , Karaoui Lamis R. 
Published: April 2024

Abstract
Background
The integration of Objective Structured Clinical Examinations (OSCEs) within the professional pharmacy program, contributes to assessing the readiness of pharmacy students for Advanced Pharmacy Practice Experiences (APPEs) and real-world practice.

Methods
In a study conducted at an Accreditation Council for Pharmacy Education (ACPE)-accredited Doctor of Pharmacy professional degree program, 69 students in their second professional year (P2) were engaged in OSCEs. These comprised 3 stations: best possible medication history, patient education, and healthcare provider communication. These stations were aligned with Entrustable Professional Activities (EPAs) and Ability Statements (AS). The assessment aimed to evaluate pharmacy students’ competencies in key areas such as ethical and legal behaviors, general communication skills, and interprofessional collaboration.

Results
The formulation of the OSCE stations highlighted the importance of aligning the learning objectives of the different stations with EPAs and AS. The evaluation of students’ ethical and legal behaviors, the interprofessional general communication, and collaboration showed average scores of 82.6%, 88.3%, 89.3%, respectively. Student performance on communication-related statements exceeded 80% in all 3 stations. A significant difference (p < 0.0001) was found between the scores of the observer and the SP evaluator in stations 1 and 2 while comparable results (p = 0.426) were shown between the observer and the HCP evaluator in station 3. Additionally, a discrepancy among the observers’ assessments was detected across the 3 stations. The study shed light on challenges encountered during OSCEs implementation, including faculty involvement, resource constraints, and the necessity for consistent evaluation criteria.

Conclusions
This study highlights the importance of refining OSCEs to align with EPAs and AS, ensuring a reliable assessment of pharmacy students’ clinical competencies and their preparedness for professional practice. It emphasizes the ongoing efforts needed to enhance the structure, content, and delivery of OSCEs in pharmacy education. The findings serve as a catalyst for addressing identified challenges and advancing the effectiveness of OSCEs in accurately evaluating students’ clinical readiness.
Perceptions and attitudes of dental students and dentists in South Korea toward artificial intelligence: a subgroup analysis based on professional seniority
Authors: Jeong Hui , Han Sang-Sun , Jung Hoi-In , Lee Wan , Jeon Kug Jin 
Published: April 2024

Abstract
Background
This study explored dental students’ and dentists’ perceptions and attitudes toward artificial intelligence (AI) and analyzed differences according to professional seniority.

Methods
In September to November 2022, online surveys using Google Forms were conducted at 2 dental colleges and on 2 dental websites. The questionnaire consisted of general information (8 or 10 items) and participants’ perceptions, confidence, predictions, and perceived future prospects regarding AI (17 items). A multivariate logistic regression analysis was performed on 4 questions representing perceptions and attitudes toward AI to identify highly influential factors according to position, age, sex, residence, and self-reported knowledge level about AI of respondents. Participants were reclassified into 2 subgroups based on students’ years in school and 4 subgroups based on dentists’ years of experience. The chi-square test or Fisher’s exact test was used to determine differences between dental students and dentists and between subgroups for all 17 questions.

Results
The study included 120 dental students and 96 dentists. Participants with high level of AI knowledge were more likely to be interested in AI compared to those with moderate or low level (adjusted OR 24.345, p < 0.001). Most dental students (60.8%) and dentists (67.7%) predicted that dental AI would complement human limitations. Dental students responded that they would actively use AI in almost all cases (40.8%), while dentists responded that they would use AI only when necessary (44.8%). Dentists with 11–20 years of experience were the most likely to disagree that AI could outperform skilled dentists (50.0%), and respondents with longer careers had higher response rates regarding the need for AI education in schools.

Conclusions
Knowledge level about AI emerged as the factor influencing perceptions and attitudes toward AI, with both dental students and dentists showing similar views on recognizing the potential of AI as an auxiliary tool. However, students’ and dentists’ willingness to use AI differed. Although dentists differed in their confidence in the abilities of AI, all dentists recognized the need for education on AI. AI adoption is becoming a reality in dentistry, which requires proper awareness, proper use, and comprehensive AI education.
Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning
Authors: Sun Jiaye , Shao Shijun , Wan Hua , Wu Xueqing , Feng Jiamei , Gao Qingqian , Qu Wenchao , Xie Lu 
Published: April 2024

Abstract
Objectives
This study aims to build a machine learning (ML) model to predict the recurrence probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and XGBoost algorithms. It can provide the ability to identify the risk of NLM recurrence and guidance in clinical treatment plan.

Methods
This study was conducted on inpatients who were admitted to the Mammary Department of Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine between July 2019 to December 2021. Inpatient data follow-up has been completed until December 2022. Ten features were selected in this study to build the ML model: age, body mass index (BMI), number of abortions, presence of inverted nipples, extent of breast mass, white blood cell count (WBC), neutrophil to lymphocyte ratio (NLR), albumin-globulin ratio (AGR) and triglyceride (TG) and presence of intraoperative discharge. We used two ML approaches (RF and XGBoost) to build models and predict the NLM recurrence risk of female patients. Totally 258 patients were randomly divided into a training set and a test set according to a 75%-25% proportion. The model performance was evaluated based on Accuracy, Precision, Recall, F1-score and AUC. The Shapley Additive Explanations (SHAP) method was used to interpret the model.

Results
There were 48 (18.6%) NLM patients who experienced recurrence during the follow-up period. Ten features were selected in this study to build the ML model. For the RF model, BMI is the most important influence factor and for the XGBoost model is intraoperative discharge. The results of tenfold cross-validation suggest that both the RF model and the XGBoost model have good predictive performance, but the XGBoost model has a better performance than the RF model in our study. The trends of SHAP values of all features in our models are consistent with the trends of these features’ clinical presentation. The inclusion of these ten features in the model is necessary to build practical prediction models for recurrence.

Conclusions
The results of tenfold cross-validation and SHAP values suggest that the models have predictive ability. The trend of SHAP value provides auxiliary validation in our models and makes it have more clinical significance.
Best practice transfer by public health nurses in Japan: actual conditions and related factors
Authors: Fujioka Mana , Okamoto Reiko , Miyamoto Keiko , Koide Keiko , Kageyama Masako , Saeki Kazuko , Hirokane Kazue , Nagano Fusami , Takemura Shinji 
Published: April 2024

Abstract
Background
The workload of public health nurses (PHNs) working for local governments has been increasing as health issues become more diverse and complicated. Even amidst the ongoing administrative and fiscal reforms, there is an urgent need to ensure how effectively and efficiently public health nurses can practice in health service development. The objective of this research was to clarify the actual conditions of best practice transfer (BPT) and its related factors.

Methods
An anonymous postal and self-administered questionnaire survey was conducted among PHNs working at 334 sites, including the local government offices and health centers across Japan, and analysed mainly through logistic regression analysis.

Results
One hundred eighty-five of the 334 institutions (55.4%) agreed to participate, and of the 966 questionnaire forms distributed, 709 forms (73.4%) were collected, of which 702 responses (72.7%) were valid. Although less than half (43.2%) have experience in BPT in health service development, more than 80% are willing to perform going forward. Significant factors for both the group with experience in BPT and the group with willingness to perform include an organizational culture that promotes BPT, as well as multiple elements of the workplace environment and facilitating factors related to knowledge and learning. The experienced group recognised the needs for criteria to evaluate the adaptability of best practice, while the willing group, to evaluate the quality of practice.

Conclusions
Through a nationwide survey, this research elucidated for the first time the actual conditions of BPT by PHNs in Japan and related factors. The results indicated the importance of developing a system to promote BPT at the workplace level, also highlighted the importance for practitioners and experts, including researchers, to work together to develop practical guidelines to ensure evidence-based practices. Urgent actions are needed for the national and local governments to develop a system to promote BPT from diverse perspectives, building on the findings of this research.
Smart glasses use experience of nursing graduate students: qualitative study
Authors: Calik Afra , Ozkul Denizhan , Kapucu Sevgisun 
Published: April 2024

Abstract
Background
Immersive technologies such as smart glasses can benefit nursing training and clinical practice. In this paper, we explore the views of nursing graduate students about their experience with smart glasses.

Methods
Nursing graduate students (n = 13) were recruited using purposeful sampling. First, a virtual reality intervention for hyperglycemia in nursing care was shown. This was an attempt to introduce people to the technology and start discussions about how it might be used in nursing care. After that, participants underwent online interviews. Thematic analysis was used to examine the data.

Results
The study findings indicated that the use of smart glasses as an enjoyable learning experience and immersive games positively affects nursing students. In addition, it was determined that they had negative experiences such as costs, lack of infrastructure, and smart glass side effects.

Conclusions
Smart glasses indicate good usability and availability in nursing education and potential for use in hospital nursing practice.
Hidden cost of hospital-based delivery and associated factors among postpartum women attending public hospitals in Gamo zone, southern Ethiopia
Authors: Chewaka Menen Tilahun , Ayele Gistane , Tessema Godana Yaya , Dinagde Dagne Deresa , Afework Hana Tadesse , Biwota Bezalem Mekonen , Wada Habtamu Wana 
Published: April 2024

Abstract
Background
Since 2005, the healthcare system in Ethiopia has implemented policies to promote the provision of free maternal healthcare services. The primary goal of these policies is to enhance the accessibility of maternity care for women from various socioeconomic backgrounds. Additionally, the aim is to increase the utilization of maternity services, such as institutional deliveries, by removing financial obstacles that pregnant women may face. Even though maternity services are free of charge. The hidden cost has unquestionably been a key obstacle in seeking and utilizing health care services. Significant payments due to delivery services could create a heavy economic burden on households.

Objectives
To determine the hidden cost of hospital-based delivery and associated factors among postpartum women attending public hospitals in Gamo zone, southern Ethiopia 2023.

Methods
A facility-based cross-sectional study was conducted on 411 postpartum women in Gamo Zone Public Health Hospitals from December 1, 2022, to January 30, 2023. The systematic sampling technique was applied to reach study units. Data was collected using the Kobo Toolbox Data Collection Tool and exported to SPSS statistical software version 27 for analysis. Simple linear regression and multiple linear regression were done to see the association of variables. The significance level was declared at a P-value < 0.05 in the final model.

Result
The median hidden cost of hospital-based delivery was 1142 Ethiopian birr (ETB), with a range (Q) of 2262 (504–2766) ETB. Monthly income of the family (β = 0.019), obstetrics complications (β = 0.033), distance from the health facility (β = 0.003), and mode of delivery (β = 0.072), were positively associated with the hidden cost of hospital-based delivery. While, rural residence (β = −0.041) was negatively associated with the outcome variable.

Conclusion
This study showed the hidden cost of hospital based delivery was relatively high. Residence, monthly income of the family, obstetric complications, mode of delivery, and distance from the health facility were statistically significant. It is important to take these factors into account when designing health intervention programs and hospitals should prioritize the availability of essential drugs and medical supplies within their facilities to address direct medical costs in hospitals.
Implementation and early effects of medicaid policy interventions to promote racial equity in pregnancy and early childhood outcomes in Pennsylvania: protocol for a mixed methods study
Authors: Jarlenski Marian , Cole Evan , McClure Christine , Sanders Sarah , Smalls Marquita , Méndez Dara D 
Published: April 2024

Abstract
Background
There are large racial inequities in pregnancy and early childhood health within state Medicaid programs in the United States. To date, few Medicaid policy interventions have explicitly focused on improving health in Black populations. Pennsylvania Medicaid has adopted two policy interventions to incentivize racial health equity in managed care (equity payment program) and obstetric service delivery (equity focused obstetric bundle). Our research team will conduct a mixed-methods study to investigate the implementation and early effects of these two policy interventions on pregnancy and infant health equity.

Methods
Qualitative interviews will be conducted with Medicaid managed care administrators and obstetric and pediatric providers, and focus groups will be conducted among Medicaid beneficiaries. Quantitative data on healthcare utilization, healthcare quality, and health outcomes among pregnant and parenting people will be extracted from administrative Medicaid healthcare data. Primary outcomes are stakeholder perspectives on policy intervention implementation (qualitative) and timely prenatal care, pregnancy and birth outcomes, and well-child visits (quantitative). Template analysis methods will be applied to qualitative data. Quantitative analyses will use an interrupted time series design to examine changes over time in outcomes among Black people, relative to people of other races, before and after adoption of the Pennsylvania Medicaid equity-focused policy interventions.

Discussion
Findings from this study are expected to advance knowledge about how Medicaid programs can best implement policy interventions to promote racial equity in pregnancy and early childhood health.
Fast and accurate variant identification tool for sequencing-based studies
Authors: Gaston Jeffry M. , Alm Eric J. , Zhang An-Ni 
Published: April 2024

Abstract
Background
Accurate identification of genetic variants, such as point mutations and insertions/deletions (indels), is crucial for various genetic studies into epidemic tracking, population genetics, and disease diagnosis. Genetic studies into microbiomes often require processing numerous sequencing datasets, necessitating variant identifiers with high speed, accuracy, and robustness.

Results
We present QuickVariants, a bioinformatics tool that effectively summarizes variant information from read alignments and identifies variants. When tested on diverse bacterial sequencing data, QuickVariants demonstrates a ninefold higher median speed than bcftools, a widely used variant identifier, with higher accuracy in identifying both point mutations and indels. This accuracy extends to variant identification in virus samples, including SARS-CoV-2, particularly with significantly fewer false negative indels than bcftools. The high accuracy of QuickVariants is further demonstrated by its detection of a greater number of Omicron-specific indels (5 versus 0) and point mutations (61 versus 48–54) than bcftools in sewage metagenomes predominated by Omicron variants. Much of the reduced accuracy of bcftools was attributable to its misinterpretation of indels, often producing false negative indels and false positive point mutations at the same locations.

Conclusions
We introduce QuickVariants, a fast, accurate, and robust bioinformatics tool designed for identifying genetic variants for microbial studies. QuickVariants is available at https://github.com/caozhichongchong/QuickVariants.
Single-cell RNA sequencing reveals cellular and molecular landscape of fetal cystic hygroma
Authors: Fu Fang , Yang Xin , Li Ru , Li Yingsi , Zhou Hang , Cheng Ken , Huang Ruibin , Wang You , Guo Fei , Zhang Lina , Pan Min , Han Jin , Zhen Li , Li Lushan , Lei Tingying , Li Dongzhi , Liao Can 
Published: April 2024

Abstract
Background
The molecular mechanism of fetal cystic hygroma (CH) is still unclear, and no study has previously reported the transcriptome changes of single cells in CH. In this study, single-cell transcriptome sequencing (scRNA-seq) was used to investigate the characteristics of cell subsets in the lesion tissues of CH patients.

Methods
Lymphoid tissue collected from CH patients and control donors for scRNA-seq analysis. Differentially expressed gene enrichment in major cell subpopulations as well as cell-cell communication were analyzed. At the same time, the expression and interactions of important VEGF signaling pathway molecules were analyzed, and potential transcription factors that could bind to KDR (VEGFR2) were predicted.

Results
The results of scRNA-seq showed that fibroblasts accounted for the largest proportion in the lymphatic lesions of CH patients. There was a significant increase in the proportion of lymphatic endothelial cell subsets between the cases and controls. The VEGF signaling pathway is enriched in lymphatic endothelial cells and participates in the regulation of cell-cell communication between lymphatic endothelial cells and other cells. The key regulatory gene KDR in the VEGF signaling pathway is highly expressed in CH patients and interacts with other differentially expressed EDN1, TAGLN, and CLDN5 Finally, we found that STAT1 could bind to the KDR promoter region, which may play an important role in promoting KDR up-regulation.

Conclusion
Our comprehensive delineation of the cellular composition in tumor tissues of CH patients using single-cell RNA-sequencing identified the enrichment of lymphatic endothelial cells in CH and highlighted the activation of the VEGF signaling pathway in lymphoid endothelial cells as a potential modulator.

Simple summary
The molecular and cellular pathogenesis of fetal cystic hygroma (CH) remains largely unknown. This study examined the distribution and gene expression signature of each cell subpopulation and the possible role of VEGF signaling in lymphatic endothelial cells in regulating the progression of CH by single-cell transcriptome sequencing. The enrichment of lymphatic endothelial cells in CH and the activation of the VEGF signaling pathway in lymphatic endothelial cells provide some clues to the pathogenesis of CH from the perspective of cell subpopulations.