bluuebunny/crossref_metadata_2025_split huggingface dataset:
Appropriate use of medication among home care adult cancer patients at end of life: a retrospective observational study
Authors: Mughrabi Amani El , Salmany Sewar S. , Aljarrat Batool , Dabbous Ala’a , Ayyalawwad Haya 
Published: April 2024

Abstract
Background
Medications are commonly used for symptom control in cancer patients at the end of life. This study aimed to evaluate medication utilization among home care palliative patients with cancer at the end of life and assess the appropriateness of these medications.

Method
This retrospective observational study included adult cancer patients who received home care in 2020. Medications taken during the last month of the patient’s life were reviewed and classified into three major categories: potentially avoidable, defined as medications that usually have no place at the end of life because the time to benefit is shorter than life expectancy; medications of uncertain appropriateness, defined as medications that need case-by-case evaluation because they could have a role at the end of life; and potentially appropriate, defined as medications that provide symptomatic relief.

Results
In our study, we enrolled 353 patients, and 2707 medications were analyzed for appropriateness. Among those, 1712 (63.2%) were classified as potentially appropriate, 755 (27.9%) as potentially avoidable, and 240 (8.9%) as medications with uncertain appropriateness. The most common potentially avoidable medications were medications for peptic ulcers and gastroesophageal reflux disease (30.5%), vitamins (14.6%), beta-blockers (9.8%), anticoagulants (7.9%), oral antidiabetics (5.4%) and insulin products (5.3%). Among the potentially appropriate medications, opioid analgesics were the most frequently utilized medications (19.5%), followed by laxatives (19%), nonopioid analgesics (14.4%), gamma-aminobutyric acid analog analgesics (7.7%) and systemic corticosteroids (6%).

Conclusion
In home care cancer patients, approximately one-third of prescribed medications were considered potentially avoidable. Future measures to optimize medication use in this patient population are essential.
Serious game for radiotherapy training
Authors: Kayed Jessika El , Akl Tony , Massoud Chadi , Margossian Christelle , Fayad Hadi , Fares Georges , Felefly Tony , Rihana Sandy 
Published: April 2024

Abstract
Background
Cancer patients are often treated with radiation, therefore increasing their exposure to high energy emissions. In such cases, medical errors may be threatening or fatal, inducing the need to innovate new methods for maximum reduction of irreversible events. Training is an efficient and methodical tool to subject professionals to the real world and heavily educate them on how to perform with minimal errors. An evolving technique for this is Serious Gaming that can fulfill this purpose, especially with the rise of COVID-19 and the shift to the online world, by realistic and visual simulations built to present engaging scenarios. This paper presents the first Serious Game for Lung Cancer Radiotherapy training that embodies Biomedical Engineering principles and clinical experience to create a realistic and precise platform for coherent training.

Methods
To develop the game, thorough 3D modeling, animation, and gaming fundamentals were utilized to represent the whole clinical process of treatment, along with the scores and progress of every player. The model’s goal is to output coherency and organization for students’ ease of use and progress tracking, and to provide a beneficial educational experience supplementary to the users’ training. It aims to also expand their knowledge and use of skills in critical cases where they must perform crucial decision-making and procedures on patients of different cases.

Results
At the end of this research, one of the accomplished goals consists of building a realistic model of the different equipment and tools accompanied with the radiotherapy process received by the patient on Maya 2018, including the true beam table, gantry, X-ray tube, CT Scanner, and so on. The serious game itself was then implemented on Unity Scenes with the built models to create a gamified authentic environment that incorporates the 5 main series of steps; Screening, Contouring, External Beam Planning, Plan Evaluation, Treatment, to simulate the practical workflow of an actual Oncology treatment delivery for lung cancer patients.

Conclusion
This serious game provides an educational and empirical space for training and practice that can be used by students, trainees, and professionals to expand their knowledge and skills in the aim of reducing potential errors.
Flipped Classroom: Improved team performance during resuscitation training through interactive pre-course content – a cluster-randomised controlled study
Authors: Ohlenburg Hendrik , Arnemann Philip-Helge , Hessler Michael , Görlich Dennis , Zarbock Alexander , Friederichs Hendrik 
Published: April 2024

Abstract
Background
Resuscitation is a team effort, and it is increasingly acknowledged that team cooperation requires training. Staff shortages in many healthcare systems worldwide, as well as recent pandemic restrictions, limit opportunities for collaborative team training. To address this challenge, a learner-centred approach known as flipped learning has been successfully implemented. This model comprises self-directed, asynchronous pre-course learning, followed by knowledge application and skill training during in-class sessions. The existing evidence supports the effectiveness of this approach for the acquisition of cognitive skills, but it is uncertain whether the flipped classroom model is suitable for the acquisition of team skills. The objective of this study was to determine if a flipped classroom approach, with an online workshop prior to an instructor-led course could improve team performance and key resuscitation variables during classroom training.

Methods
A single-centre, cluster-randomised, rater-blinded study was conducted on 114 final year medical students at a University Hospital in Germany. The study randomly assigned students to either the intervention or control group using a computer script. Each team, regardless of group, performed two advanced life support (ALS) scenarios on a simulator. The two groups differed in the order in which they completed the flipped e-learning curriculum. The intervention group started with the e-learning component, and the control group started with an ALS scenario.
Simulators were used for recording and analysing resuscitation performance indicators, while professionals assessed team performance as a primary outcome.

Results
The analysis was conducted on the data of 96 participants in 21 teams, comprising of 11 intervention groups and 10 control groups. The intervention teams achieved higher team performance ratings during the first scenario compared to the control teams (Estimated marginal mean of global rating: 7.5 vs 5.6, p < 0.01; performance score: 4.4 vs 3.8, p < 0.05; global score: 4.4 vs 3.7, p < 0.001). However, these differences were not observed in the second scenario, where both study groups had used the e-learning tool.

Conclusion
Flipped classroom approaches using learner-paced e-learning prior to hands-on training can improve team performance.

Trial registration
German Clinical Trials Register (https://drks.de/search/de/trial/DRKS00013096).
Healthcare insurance fraud detection using data mining
Authors: Hamid Zain , Khalique Fatima , Mahmood Saba , Daud Ali , Bukhari Amal , Alshemaimri Bader 
Published: April 2024

AbstractBackgroundHealthcare programs and insurance initiatives play a crucial role in ensuring that people have access to medical care. There are many benefits of healthcare insurance programs but fraud in healthcare continues to be a significant challenge in the insurance industry. Healthcare insurance fraud detection faces challenges from evolving and sophisticated fraud schemes that adapt to detection methods. Analyzing extensive healthcare data is hindered by complexity, data quality issues, and the need for real-time detection, while privacy concerns and false positives pose additional hurdles. The lack of standardization in coding and limited resources further complicate efforts to address fraudulent activities effectively.MethodolgyIn this study, a fraud detection methodology is presented that utilizes association rule mining augmented with unsupervised learning techniques to detect healthcare insurance fraud. Dataset from the Centres for Medicare and Medicaid Services (CMS) 2008-2010 DE-SynPUF is used for analysis. The proposed methodology works in two stages. First, association rule mining is used to extract frequent rules from the transactions based on patient, service and service provider features. Second, the extracted rules are passed to unsupervised classifiers, such as IF, CBLOF, ECOD, and OCSVM, to identify fraudulent activity.ResultsDescriptive analysis shows patterns and trends in the data revealing interesting relationship among diagnosis codes, procedure codes and the physicians. The baseline anomaly detection algorithms generated results in 902.24 seconds. Another experiment retrieved frequent rules using association rule mining with apriori algorithm combined with unsupervised techniques in 868.18 seconds. The silhouette scoring method calculated the efficacy of four different anomaly detection techniques showing CBLOF with highest score of 0.114 followed by isolation forest with the score of 0.103. The ECOD and OCSVM techniques have lower scores of 0.063 and 0.060, respectively.ConclusionThe proposed methodology enhances healthcare insurance fraud detection by using association rule mining for pattern discovery and unsupervised classifiers for effective anomaly detection.
Knowledge, attitude, practice, needs, and implementation status of intensive care unit staff toward continuous renal replacement therapy: a survey of 66 hospitals in central and South China
Authors: Yu Xiaoyan , Ouyang Lin , Li Jinxiu , Peng Ying , Zhong Dingming , Yang Huan , Zhou Yanyan 
Published: April 2024

AbstractBackgroundContinuous renal replacement therapy (CRRT) is a commonly utilized form of renal replacement therapy (RRT) in the intensive care unit (ICU). A specialized CRRT team (SCT, composed of physicians and nurses) engage playing pivotal roles in administering CRRT, but there is paucity of evidence-based research on joint training and management strategies. This study armed to evaluate the knowledge, attitude, and practice (KAP) of ICU staff toward CRRT, and to identify education pathways, needs, and the current status of CRRT implementation.MethodsThis study was performed from February 6 to March 20, 2023. A self-made structured questionnaire was used for data collection. Descriptive statistics, T-tests, Analysis of variance (ANOVA), multiple linear regression, and Pearson correlation coefficient tests (α = 0.05) were employed.ResultsA total of 405 ICU staff from 66 hospitals in Central and South China participated in this study, yielding 395 valid questionnaires. The mean knowledge score was 51.46 ± 5.96 (61.8% scored highly). The mean attitude score was 58.71 ± 2.19 (73.9% scored highly). The mean practice score was 18.15 ± 0.98 (85.1% scored highly). Multiple linear regression analysis indicated that gender, age, years of CRRT practice, ICU category, and CRRT specialist panel membership independently affected the knowledge score; Educational level, years of CRRT practice, and CRRT specialist panel membership independently affected the attitude score; Education level and teaching hospital employment independently affected the practice score. The most effective method for ICU staff to undergo training and daily work experience is within the department.ConclusionICU staff exhibit good knowledge, a positive attitude and appropriately practiced CRRT. Extended CRRT practice time in CRRT, further training in a general ICU or teaching hospital, joining a CRRT specialist panel, and upgraded education can improve CRRT professional level. Considering the convenience of training programs will enhance ICU staff participation. Training should focus on basic CRRT principles, liquid management, and alarm handling.
What’s up doc? Physicians’ reflections on their sustainable employability throughout careers: a narrative inquiry
Authors: van de Voort Iris , Grossmann Irene , Leistikow Ian , Weenink Jan-Willem 
Published: April 2024

Abstract
Background
Physicians have complex and demanding jobs that may negatively affect their sustainable employability (SE) and quality of care. Despite its societal and occupational relevance, empirical research on physicians’ SE is scarce. To further advance our understanding of physicians’ SE, this study explores how physicians perceive their employment context to affect their SE, how physicians self-regulate with the intent to sustain their employability, and how self-regulations affect physicians’ SE and their employment context.

Methods
Twenty Dutch physicians from different specialisms were narratively interviewed between March and September 2021 by a researcher with a similar background (surgeon) to allow participants to speak in their own jargon. The interviews were analyzed collaboratively by the research team in accordance with theory-led thematic analysis.

Results
According to the interviewees, group dynamics, whether positive or negative, and (mis)matches between personal professional standards and group norms on professionalism, affect their SE in the long run. Interviewees self-regulate with the intent to sustain their employability by (I) influencing work; (II) influencing themselves; and (III) influencing others. Interviewees also reflect on long-term, unintended, and dysfunctional consequences of their self-regulations.

Conclusions
We conclude that physicians’ SE develops from the interplay between the employment context in which they function and their self-regulations intended to sustain employability. As self-regulations may unintentionally contribute to dysfunctional work practices in the employment context, there is a potential for a vicious cycle. Insights from this study can be used to understand and appraise how physicians self-regulate to face complex challenges at work and to prevent both dysfunctional work practices that incite self-regulation and dysfunctional consequences resulting from self-regulations.
Health extension service utilization in Ethiopia: systematic review and meta-analysis
Authors: Tiruneh Misganaw Guadie , Fenta Eneyew Talie , Endeshaw Destaw , Delie Amare Mebrat , Adal Ousman , Tareke Abiyu Abadi , Bogale Eyob Ketema , Anagaw Tadele Fentabel 
Published: April 2024

AbstractIntroductionEthiopia strives to achieve Universal Health Coverage (UHC) through Primary Health Care (PHC) by expanding access to services and improving the quality and equitable comprehensive health services at all levels. The Health Extension Program (HEP) is an innovative strategy to deliver primary healthcare services in Ethiopia and is designed to provide basic healthcare to approximately 5000 people through a health post (HP) at the grassroots level. Thus, this review aimed to assess the magnitude of health extension service utilization in Ethiopia.MethodsThe Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist guideline was used for this review and meta-analysis. The electronic databases (PubMed, Cochrane Library, and African Journals Online) and search engines (Google Scholar and Grey literature) were searched to retrieve articles by using keywords. The Joanna Briggs Institute (JBI) meta-analysis of statistics assessment and review instrument was used to assess the quality of the studies. Heterogeneity was assessed using the I2statistic. The meta-analysis with a 95% confidence interval using STATA 17 software was computed to present the pooled utilization of health extension services. Publication bias was assessed by visually inspecting the funnel plot and statistical tests using Egger’s and Begg’s tests.Result22 studies were included in the systematic review with a total of 28,171 participants, and 8 studies were included in the meta-analysis. The overall pooled magnitude of health extension service utilization was 58.5% (95% CI: 40.53, 76.48%). In the sub-group analysis, the highest pooled proportion of health extension service utilization was 60.42% (28.07, 92.77%) in the mixed study design, and in studies published after 2018, 59.38% (36.42, 82.33%). All studies were found to be within the confidence interval of the pooled proportion of health extension service utilization in leave-out sensitivity analysis.ConclusionsThe utilization of health extension services was found to be low compared to the national recommendation. Therefore, policymakers and health planners should come up with a wide variety of health extension service utilization strategies to achieve universal health coverage through the primary health care.
Genetic variability in stroke patients: CYP2C19 polymorphisms unraveled
Authors: Peng Peiyi , Xiao Yingxiu , Peng Xuehong , Chen Jianqiang , Chen Nuan 
Published: April 2024

Abstract
Objective
To study the distribution characteristics of CYP2C19 polymorphisms in patients suffering from stroke in Han Chinese patients.

Method
PCR and DNA microarray chip technology were used to detect the CYP2C19 genotype of 549 patients with stroke, and the genotype, allele frequency and metabolic type of patients with different sexes, ages and types of infarctions and the independent risk factors for clopidogrel resistance were analyzed.

Results
Six genotypes were detected in these 549 patients. A total of 233 (42.44%) patients had the heterozygous allele *1/*2, which was the most prevalent, followed by the homozygous wild-type allele *1/*1 (191, 34.79%). A total of 30 (5.46%) patients possessed the heterozygous allele *1/*3, and 65 (11.84%) patients had the homozygous mutant allele *2/*2. Twenty-nine (5.28%) patients had the compound heterozygous mutant allele *2/*3, and only 1 patient had the homozygous mutant allele *3/*3. The distribution of genotypes, alleles, and metabolic types did not change significantly (P > 0.05) by sex, age, or type of stroke. In addition, no independent risk factors for clopidogrel resistance were found in this analysis.

Conclusion
The distribution of CYP2C19 genotypes, allele frequencies, and metabolic types in patients with stroke in Han Chinese patients were not correlated with sex, age, or infarction type. The possibilities of hyperglycemia, hypercholesterolemia, hypertriglyceridemia, hypo-HDL-cholesterolemia, hyper-LDL-cholesterolemia and high blood pressure were not statistically associated with CYP2C19 genotypes. CYP2C19 gene polymorphism detection is recommended for patients who are available, and during treatment, the CYP2C19 genotype can be used to guide personalized precise medication use in patients with stroke.
REPeated mAgnetic resonance Image-guided stereotactic body Radiotherapy (MRIg-reSBRT) for oligometastatic patients: REPAIR, a mono-institutional retrospective study
Authors: Chiloiro Giuditta , Panza Giulia , Boldrini Luca , Romano Angela , Placidi Lorenzo , Nardini Matteo , Galetto Matteo , Votta Claudio , Campitelli Maura , Cellini Francesco , Massaccesi Mariangela , Gambacorta Maria Antonietta 
Published: April 2024

Abstract
Background
Oligo-progression or further recurrence is an open issue in the multi-integrated management of oligometastatic disease (OMD). Re-irradiation with stereotactic body radiotherapy (re-SBRT) technique could represent a valuable treatment option to improve OMD clinical outcomes. MRI-guided allows real-time visualization of the target volumes and online adaptive radiotherapy (oART). The aim of this retrospective study is to evaluate the efficacy and toxicity profile of MRI-guided repeated SBRT (MRIg-reSBRT) in the OMD setting and propose a re-SBRT classification.

Methods
We retrospectively analyzed patients (pts) with recurrent liver metastases or abdominal metastatic lesions between 1 and 5 centimeters from liver candidate to MRIg-reSBRT showing geometric overlap between the different SBRT courses and assessing whether they were in field (type 1) or not (type 2).

Results
Eighteen pts completed MRIg-reSBRT course for 25 metastatic hepatic/perihepatic lesions from July 2019 to January 2020. A total of 20 SBRT courses: 15 Type 1 re-SBRT (75%) and 5 Type 2 re-SBRT (25%) was delivered. Mean interval between the first SBRT and MRIg-reSBRT was 8,6 months. Mean prescribed dose for the first treatment was 43 Gy (range 24–50 Gy, mean BEDα/β10=93), while 41 Gy (range 16–50 Gy, mean BEDα/β10=92) for MRIg-reSBRT. Average liver dose was 3,9 Gy (range 1–10 Gy) and 3,7 Gy (range 1,6–8 Gy) for the first SBRT and MRIg-reSBRT, respectively. No acute or late toxicities were reported at a median follow-up of 10,7 months. The 1-year OS and PFS was 73,08% and 50%, respectively. Overall Clinical Benefit was 54%.

Conclusions
MRIg-reSBRT could be considered an effective and safe option in the multi-integrated treatment of OMD.
Endocrine disrupting chemicals: gestational diabetes and beyond
Authors: Mitra Tridip , Gulati Richa , Ramachandran Krithika , Rajiv Rohan , Enninga Elizabeth Ann L. , Pierret Chris K , Kumari R Sajeetha , Janardhanan Rajiv 
Published: April 2024

AbstractGestational Diabetes Mellitus (GDM) has been on the rise for the last two decades along with the growing incidence of obesity. The ubiquitous use of Endocrine-Disrupting Chemicals (EDCs) worldwide has been associated with this increase in GDM incidence. Epigenetic modifications such as DNA methylation, histone acetylation, and methylation have been associated with prenatal exposure to EDCs. EDC exposure can also drive a sustained disruption of the hypothalamus-pituitary-thyroid axis and various other signaling pathways such as thyroid signaling, PPARγ signaling, PI3K-AKT signaling. This disruption leads to impaired glucose metabolism, insulin resistance as well as β-cell dysfunction, which culminate into GDM. Persistent EDC exposure in pregnant women also increases adipogenesis, which results in gestational weight gain. Importantly, pregnant mothers transfer these EDCs to the fetus via the placenta, thus leading to other pregnancy-associated complications such as intrauterine growth restriction (IUGR), and large for gestational age neonates. Furthermore, this early EDC exposure of the fetus increases the susceptibility of the infant to metabolic diseases in early life. The transgenerational impact of EDCs is also associated with higher vascular tone, cognitive aberrations, and enhanced susceptibility to lifestyle disorders including reproductive health anomalies. The review focuses on the impact of environmental toxins in inducing epigenetic alterations and increasing the susceptibility to metabolic diseases during pregnancy needs to be extensively studied such that interventions can be developed to break this vicious cycle. Furthermore, the use of EDC-associated ExomiRs from the serum of patients can help in the early diagnosis of GDM, thereby leading to triaging of patients based on increasing risk factor of the clinicopathological condition.