implementation

Objectives: The study’s goals are to evaluate the management of Stroke Mimics (SMs), conditions with stroke-like symptoms but non-vascular origins. It seeks to avoid the unnecessary intravenous thrombolysis, the target therapy delays and determine the best SMs diagnosis approach.Materials and methods: A review was conducted of all patients admitted to the Emergency Department under a “stroke code” from January 1, 2018, to January 31, 2019. Anamnestic and clinical data, along with information on neuroimaging protocols and findings, were collected. Advanced MRI sequences, such as Arterial Spin Labeling (ASL) MR perfusion and MR spectroscopy, were revised to confirm the diagnoses.Results: 513 stroke codes were found; a neurovascular disease was diagnosed in 414 cases: 282 ischemic strokes and 73 intracranial hemorrages and 59 TIAs. The 99 SMs included, 13 infections, 12 syncopes, 11 epileptic seizures, 11 hemodinamic conditions, 10 tumors, 9 metabolic disorders, 9 diziness, 7 migraines, 4 drug/alcohol intoxication, 3 functional disorders, 3 acute hydrocefalus, 2 multiple sclerosis, 2 arteriovenous malformations, 1 spinal cord compression and 2 unexplained conditions. Specific neuroimaging findings were evaluated for all cases. Positive and negative predictive values of clinical diagnosis of SM were respectively 0.23 and 0.35. 125 SM patients underwent MRI examination, 40 of which within 3 hours from the activation of stroke code. Advanced MRI sequences as ASL, MR perfusion, MR spectroscopy were used to reach the correct diagnosis.Conclusions: Advanced multimodal MRI can be a valuable tool in the assessment of, particularly in cases where conventional imaging techniques such as DWI-FLAIR mismatch are inconclusive. The novelty of this retrospective study is to demonstrate that the consistent use of arterial spin labeling perfusion in cases with stroke code leads to a rapid and accurate diagnosis of SMs. The implementation of an MRI-based pathway can expedite the diagnosis and treatment of underlying non-vascular causes such as SMs.

Forensic odontology’s evolution from manual to digital methods signifies a pivotal transition. Augmented Reality (AR) and Virtual Reality (VR) further this transformation by merging the physical and digital realms. This brief communication explores how AR and VR can enhance forensic odontology, offering precision, interactivity, and advanced analysis. It delves into the current landscape and envisions future possibilities, emphasizing their role in shaping precise and collaborative forensic practices. Additionally, challenges and considerations for implementing AR and VR in this field are discussed.

Background: The recruitment of experienced clinical nurses into vacant faculty positions is a global strategy for preparing, employing, and retaining competent nurse educators. As clinical nurses transition to academia, many struggle with unique challenges that affect their adaptation to the academic setting. Thus, understanding novice nurse educators’ transitional challenges is critical to addressing this threat. Aim: This study aimed to explore the challenges of novice nurse educators’ transition from clinical practice to academia in Ghana. Methods: A descriptive qualitative study design was employed for this study. A purposive sampling technique was used to recruit 12 novice nurse educators from three health training institutions in the Upper East Region of Ghana. A semi-structured interview guide was used to collect data through in-depth individual interviews. The interviews were audio-recorded, transcribed verbatim, and thematically analyzed.Results: Four themes emerged: poor administrative support, poor preparation, increased workload and stress, and role ambiguity. Novice nurse educators lacked formal orientation, formal mentorship, formal education in teaching, and post-graduate education. Novices were also challenged by increased workload and role ambiguity. Conclusion: Supporting novice nurse educators' transition from clinical practice would be better served by college administrators’ creation and implementation of formal orientation and mentorship programs.

Background: Liver cancer is a global health concern, with overweight and obese individuals exhibiting an increased risk of its development. Understanding the interplay between obesity-related factors and liver cancer incidence is crucial for early prediction and intervention.Aim: The aim of this investigation was to construct and validate an extreme gradient boosting (XGBoost) based machine learning model for the purpose of establishing a one-year liver cancer risk prediction system specifically tailored to overweight and obese patients. In addition, this study sought to compare the predictive performance of the XGBoost model with those of a random forest model and a logistic regression model, while also identifying the most influential predictive features for liver cancer incidence.Methods: A comprehensive retrospective analysis was conducted on MIMIC III data comprising 2,354 patients. To predict the risk of liver cancer development, three machine learning models were developed: XGBoost, random forest, and logistic regression. Feature selection was executed using a stepwise regression procedure encompassing both forward selection and backward elimination.Results: The stepwise regression technique unveiled 14 predictive factors for liver cancer incidence. Among the patient cohort, 132 individuals developed liver cancer within a year of follow-up, while 2,222 did not. Notably, most liver cancer cases occurred in male patients (60%). Statistically significant differences were observed between patients with liver cancer and those without, in terms of age, gender, total bilirubin, platelet, albumin, chloride, potassium, sodium, prothrombin time (PT) and alanine aminotransferase (ALT). The XGBoost model exhibited an impressive area under the receiver operating characteristic curve (AUROC) of 99%, Random Forest (RF) of 99%, and Logistic Regression (LR) of 90%. In a multivariate analysis, total bilirubin, creatinine levels, age, gender, ALT, alkaline phosphate (ALP), PT, calcium, and chloride emerged as independent predictors for liver cancer incidence.Conclusion: The XGBoost model demonstrated superior predictive performance when compared to the RF and LR models. If corroborated through prospective studies, the XGBoost model may prove to be a valuable tool for the early prediction of liver cancer risk in overweight or obese individuals. Such predictive capabilities could, in turn, facilitate the implementation of timely preventive interventions against liver cancer.

Introduction: The individual program of rehabilitation and (or) habilitation of children with disabilities (IPRH) is mandatory for execution by the relevant state authorities, local self-government bodies, as well as organizations regardless of organizational-legal forms and forms of ownership.Objective: To conduct a pilot analysis of the implementation of the IPRH contingent of patients of children with disabilities in an urban children’s clinic.Patients and methods: There were 366 reports on the implementation of measures provided for by an IPRH for a disabled person (disabled child) of 222 disabled. The organization of the study was in the nature of a continuous sample. The criterion for the inclusion of patients in it was the passage of an IPRH in a disabled child within a specified time frame. The following techniques were used: grouping, absolute and relative values, average values, detailing, and generalization. The threshold error probability for statistically significant differences was set at a level of 0.05.Results: The structure of the results of the control of the performance of IPRH in 222 disabled children according to the classes of diseases that caused the onset of disability (ICD) was as follows 1) G00-G99 - 35.47 ± 3.13%; 2) Q00-Q99 - 23.50 ± 2.77%; 3) 11.11 ± 2.05%; 4) C00-D48 - 10.25 ± 1.98%; 5) H60-H95 - 7.26 ± 1.67%; 6) M00-M99 - 2.99 ± 1.11%; 7-8) H00-H59 and P00-P96 - 2.14 ± 0.95%; 9-10) K00-K93 and S00-T98 - 1.29 ± 0.74% each; 11-12) I00-I99 and N00-N99 - 0.85 ± 0.60% each; 13-14) J00-J99 and L00-L99 - 0.43 ± 0.42% each.Conclusion: 1. In the structure of IPRH in 222 disabled children, according to the classes of diseases that caused disability (ICD), the following prevailed: 1) VI Diseases of the nervous system G00-G99 – 35.47%; 2) XVII Congenital anomalies, chromosomal disorders Q00-Q99 - 23.50%; 3) IV Diseases of the endocrine system, nutritional disorders, and metabolic disorders E00-E90 – 11.11%; 4) II Neoplasms C00-D48 - 10.25%; 5) VIII Diseases of the ear and mastoid process H60-H95 - 7.26%; 6) XIII Diseases of the musculoskeletal system and connective tissue M00-M99 - 2.99%; 7-8) VIII Diseases of the ear and mastoid process H60-H95 and VII Diseases of the eye and its adnexa H00-H59 - 2.14% each.2. The effectiveness of medical rehabilitation of disabled children was as follows: 1) Improvement - 23.26%; 2) Stabilization - 74.88%; 3) Deterioration - 1.86%. Dynamic observation was carried out on 94.26% of disabled children, drug therapy - 77.32%, non-drug therapy - 66.93%, and other types of medical rehabilitation were received by 14.48% of patients. Reconstructive operations were performed on 11.26% of disabled children.3. Prosthetics and orthotics were performed on 38.74% of disabled children. 32.43% of disabled children in need received sanatorium treatment, and 30.18% are currently in line to receive a voucher. For various reasons, 24.32% refused this type of rehabilitation; 3.60% of patients had contraindications at the time the voucher was provided.4. The obtained research results become the initial everyday statistical tool for objectifying the process of rehabilitation of patients and determining the strength and means of a medical institution to monitor and successfully implement an individual rehabilitation/habilitation program for a disabled person.

In this research, for the purpose of social implementation, we conducted a near-miss demonstration experiment using a car driving in the city and a drive-simulator. Next, we conducted a demonstration experiment to evaluate the reliability of biometric information measured on patients in a medical facility's recuperation ward and residents of a special nursing home. NBC-1100 emits radar waves from a distance of up to 3 meters from an object and uses the reflected waves to measure biological information such as pulse waves and breathing waves. The multi-element pyroelectric effect was used to measure body temperature by detecting infrared radiation emitted from distant objects. This device is unique in that it can measure biological information without being restrained while wearing clothes. In the demonstration test, simultaneous measurements were conducted on nine healthy men aged 45 to 65 using a pharmaceutically approved product (μBP-mp) and a prototype non-contact biological monitor (NBC-1100 manufactured by K&S Co., Ltd.). The demonstration experiments at medical institutions and nursing care facilities were conducted with the consent of residents and their families and were conducted on 30 men and women between the ages of 70 and 94 who were undergoing treatment or in need of care. The tests were conducted on residents with chronic diseases such as dilated gastrostomies, symptomatic epilepsy, hypertension, Alzheimer's disease, and progressive supranuclear palsy. The evaluation method was simultaneous measurement using a master meter (μBP-mp) and a test meter (NBC-1100).

Telerehabilitation is a transformative approach to physical therapy, revolutionizing the accessibility of healthcare in rural communities through the strategic use of Telecommunications technology. This novel approach has the potential to significantly enhance the efficacy of healthcare delivery, particularly considering the critical challenges posed by geographical isolation and resource scarcity. This paper explores the multifaceted benefits of Telerehabilitation, including increased access to care and reduced costs, alongside the challenges of technological barriers and privacy considerations. It provides a comprehensive overview of Telerehabilitation’s impact on rural healthcare, emphasizing its capacity to optimize patient outcomes and proposing strategies for effective implementation. The findings of this study suggest that the use of technology to deliver telecare is a key means of delivering equitable healthcare to underserved populations, a promising way to improve access to rural physiotherapy services address the challenge of telehealth resources, and promote the long-term sustainability of rural Telerehabilitation practices.

An empirical framework that accurately describes radioactive binding energies is the Somewhat Empirical Mass Equation (SEMF). They showcase many implementations and uses of the idea that rely on graphics and printed objects. A key new addition is a contrast with real experiments, as well as a visualization of the energy environment as supplied by the SEMF. The shortcomings of the empirical theory are shown by our visualization of this differential energy scenery, which also highlights the significance of what is known as magic numbers—an explanation provided by the outermost approach, which was developed much more recently than the water drop theory. This provides a great chance to talk about the advantages and limitations of simulations everywhere within the framework of science teaching.

The psychological burden of physicians has been the focus of many researchers since the 1950s, and some papers have found a high prevalence of anxiety and depressive disorders among medical staff. Recent studies have shown that the coronavirus pandemic didn’t go easy on healthcare workers. The fact that it has been three years since the outbreak, has motivated our study. Which aims to evaluate the intensity of anxiety among medical personnel and the risk factors that could be incriminated post-COVID pandemic and if the level of anxiety is back to normal. This is a cross-sectional study, carried out with a survey split into 2 parts sociodemographic and work-related data, and the French version of the Hamilton anxiety scale, Statistical analysis was performed using Jamovi et Microsoft Excel. About half of the 116 physicians in our study had no anxiety (55.2%), while 21.6% had mild anxiety, 10.3% had moderate anxiety, and 12.9% had severe anxiety. The identified risk factors for anxiety were female gender, personal and family history of anxiety disorder, doing night shifts, and being a general practitioner. The anxiety rate of physicians is back to normal post-COVID pandemic. But we shouldn’t stop there. The mental health status of medical personnel depends on several of the factors listed above. Determining them would imply a call for the implementation of preventive measures for anxiety and depressive disorders among physicians. Because taking care of physicians is taking care of patients.

Introduction: Despite the benefits of Cardiac Rehabilitation (CR), local and national CR referral and participation rates remain low when compared to established cardiovascular therapies, especially amongst racial/ethnic groups. Objectives: This study investigated the effects of the implementation of a CR program and electronic order set (EOS) in a large health system on CR referral and participation rates among a diverse group of patients with Coronary Heart Disease (CHD). Methods: A total of 360 patients from UCSD Health who presented with ACS were prospectively evaluated during initial hospitalization and 6- and 12-weeks post-discharge. The multivariable logistic regression model assessed referral and participation rates by week 1 and -12 post-discharge, adjusting for gender, age, race, ethnicity, geography, and referring physician subspecialty. Results: UCSD CR program implementation led referral rates to increase at week 1 (Pre- 38.6% and Post-54.9%, p = 0.003) and week-12 (Pre- 54.1% and Post- 59.8%, p = 0.386). Post-CR referrals were more likely at week-1 (OR: 1.93, 95% CI 1.27-2.95) and week-12 (OR: 1.26, 95% CI 0.79-2.00). EOS implementation increased referral rates at week-1 (Pre- 40.3% and Post- 58.7%, p < 0.001) and week-12 (Pre- 54.9% and Post- 60.4%, p = 0.394) with referrals more likely at week-1 (OR: 2.1, 95% CI 1.35-3.29) and week-12 (OR: 1.25, 95% CI 0.795-1.98). Participation in CR following EOS was more likely at both week-1 and week-12. Multivariable analysis revealed disparities in referral based on race, geographic location, and referring physician subspecialty. Conclusion: A CR program and EOS implementation were shown to increase referral rates with long-term potential for increasing referral and participation rates. Condensed abstract: This prospective study investigated the implementation of a Cardiac Rehabilitation (CR) program and Electronic Order Set (EOS) within the same health system on CR referral and participation rates. 360 patients with ACS were evaluated over 12 weeks. UCSD CR program and EOS implementation led referral rates to increase at week-1 and -12. CR participation was more likely to increase at week-1 and -12 following EOS. Multivariable analysis revealed disparities in referrals disproportionally affecting racial and ethnic minority groups and rural communities. CR and EOS implementation may increase CR referral rates for diverse patients with CHD.

The study is based on the characterization of different AI models applied in the public furniture design analyzing the conditions of risk, materiality, and integration of variables in two AI generative modeling algorithms. As risky since they contain flood-prone areas, low vegetation coverage, and underdevelopment of infrastructure; therefore, these characterizations are tested through artificial simulation. The experimental method is applied through laboratory tests of various material components and their structuring in 3D simulators to check their resistance and risk scenarios. The case study of one of the most risky and populated areas of the informal settlement area of the Northwest of Guayaquil, such as the Coop, is analyzed. Sergio Toral is the focal point for on-site testing. It is concluded that the generation of a planned scheme of ecological furniture with different materials responds more effectively to the territory and that through artificial simulation an advantage can be obtained in terms of execution time and results, thus demonstrating that artificial intelligence is an ideal tool. To generate furniture design proposals that are more diverse, innovative, and functional with the environment, but it generates a minimum level of error for specific designs in the experimental model_01 of 0.1% to 3% and a high level in the experimental model_02 with an increasing error from 20% to 70%. As a future line of research, it is proposed to generate a simulated system of all the new informal settlements in Guayaquil and establish focal points for the implementation of new ecological furniture.

Purpose of the study:  To evaluate the performance of Best Practice Recommendation (BPR) compliance in reporting abdominal aortic aneurysm findings on imaging, comparing the results before and after its deployment.Methods: Best Practice Recommendations for AAA were deployed in 2020 at a large radiology practice site. Reports between January 2018 through October 2022 were reviewed, representing studies read prior to and subsequent to the implementation of the reporting standards. Cases of abdominal aortic aneurysms ≥ 2.6 cm were counted by year. Adherence to the BPR for each year was calculated as [total number of confirmed cases of ≥ 2.6 cm AAAs with compliant reports] * 100 / [the total number of confirmed ≥ 2.6 cm AAAs]. A secondary analysis was performed to determine whether there was a statistically significant difference in the proportion of BPR-compliant reports for AAA cases before (from 2018 to 2019) and after (from 2020 to 2022) BPR deployment using a chi-square test. Results: From January 2018 to December 2022, there were 8,693 reports referencing AAA. After excluding cases of suspected AAA (N = 2,131), confirmed AAAs with indeterminate sizes (N = 103), and confirmed AAAs with sizes < 2.6 cm (N = 85), the number of AAA cases ≥ 2.6 cm in size was 6,374. Concordance with the BPR standards for the remaining cases with sizes ≥ 2.6 cm were 1.6% and 4.1% in 2018 and 2019, respectively. Post-implementation of BPRs, there was a substantial improvement in guideline adherence to 32.1%, 84.3%, and 83.6% in 2020, 2021, and 2022, respectively. In general, the proportion of BPR-compliant reports of AAA cases in the pre-deployment (3.6%) period statistically differs (p - value < 0.0001) from those in the post-deployment period (73.9%)Conclusion: Adherence to reporting standards increased after the BPR deployment in 2020. The inclusion of management recommendations in the radiology report when AAA is identified is a simple and cost-effective way of improving outcomes for patients with AAAs through appropriate follow-up treatment.

A recurrent miscarriage may be defined in the African context as the foetal demise of two or more successive pregnancies before the attainment of the age of viability. A literature review was done to assess the trend of recurrent miscarriage in sub-Saharan Africa. Identifying the main causes, considering the population at risk, and the availability of accurate diagnostic utilities to effectively ensure good management of recurrent miscarriage is an important gynaecologic issue. Over the years, studies have identified several etiologies and yet there’s been no tangible implementation of therapeutic strategies. Routine modifications should also be employed to develop new approaches to reproductive prognosis. There is notably scanty information on the cases of spontaneous abortion due to chromosomal abnormalities. Genetic and immunological factors should be considered in the work-up plan for women with RM. About 70% of the cases of RM are considered unexplained, and this may be due to limited resources. We concluded that there is relatively poor management of miscarriage and cases of missed and inaccurate diagnosis of the causes of spontaneous abortion in sub-Saharan Africa. More studies are needed in order to assess the extent of genetic induced miscarriage, where resources are limited, folic acid supplements should be provided for pregnant women.

Globally, evidence-based healthcare practices are the most dependable framework for effective healthcare decisions and practices. In all nations, financial resources, people, and time are always insufficient. Healthcare professionals should recommend healthcare interventions that have been proven to be safe, effective, and affordable. All healthcare professionals must be creative to be involved in the creation and compilation of trustworthy evidence to support the decrease in morbidity and mortality of communicable and non-communicable diseases, particularly in developing nations. Regretfully, most developing nations still exhibit weaknesses and barriers to promoting health research and evidence-based healthcare. Evidence indicates that developing countries contribute 1% - 2% of health research activities to address global health problems and challenges. As a result, many individuals in these nations continue to have below-average health conditions. The lack of creativity, innovation, and motivation to gain health research competencies for healthcare professionals causes all these issues. Creativity and innovation are the foundations for the effective implementation of evidence-based healthcare. Surprisingly, no researchers have explored how creativity and innovation heighten evidence-based healthcare practices. The primary objective of this project will be to foster pathways and explore the creativity that advances health research abilities among healthcare professionals to improve evidence-based healthcare practices in resource-limited healthcare settings.

Aim: This prospective study reports the acceptance testing of the Symbia Intevo Bold SPECT/CT scanner (Siemens Healthineers), recently installed at SQCCCRC, University Medical City, Muscat, Oman, before its clinical implementation.Materials and methods: The acceptance tests were performed using a Low Energy High Resolution (LEHR) collimator and Technetium-99m (Tc-99m) as the radioactive source, following the manufacturer’s protocols. The tests included physical inspection, peaking and tuning, intrinsic and extrinsic uniformity calibration, intrinsic energy resolution, and planar spatial resolution without scatter. Key performance parameters such as full-width at half-maximum (FWHM), system sensitivity, and count rate performance were evaluated.Results: All critical acceptance tests, including intrinsic energy resolution, energy calibration (symmetric curve), and extrinsic uniformity with the LEHR collimator, were completed and met the required specifications. System sensitivity and count rate performance were within the expected ranges, confirming the system’s readiness for clinical use.Conclusion: The Symbia Intevo Bold SPECT/CT system passed all performance tests successfully. The acceptance testing validated the system’s optimal performance following international standards, ensuring its suitability for clinical operations.

The global menace of cancer requires supplementary treatments beyond standard medical approaches for effective medical intervention. The Ketogenic Diet (KD) composed of high fats combined with moderate proteins and low carbohydrates has become popular as a metabolic therapy for cancer. The anti-cancer mechanism of KD works through metabolic stress induction in cancer cells, reduced insulin and IGF-1 signaling pathways, improved mitochondrial function, inflammation, and immune regulation. Standard cancer treatments receive enhanced outcomes through KD synergistic action which simultaneously decreases treatment-related side effects. To achieve optimized treatment outcomes in cancer, ketogenic diet practitioners need to use personalized nutritional planning in combination with metabolic tracking and exogenous ketone supplements. It is essential to find solutions for diet adherence issues and nutrient deficiencies because they determine KD’s effectiveness as a cancer treatment. The fight against cancer needs sustained and multipronged clinical research and validation to establish the proper implementation of this method.