Phyllodes tumor of the breast clinical experience and outcomes: A retrospective cohort tertiary hospital experience.

BACKGROUND: Phyllodes tumor (PT) accounts for <1% of all breast tumors worldwide. Based on their microscopic features, these tumors are classified into benign, borderline, and malignant. This study aimed at evaluating the clinical experience and the clinicopathologic features of PT. METHODS: A retrospective cohort study of 46 female patients with histologically diagnosed PT. Data collection and evaluation was done on patient demographics, preoperative radiological assessment and pathology, surgical procedure, post-surgery pathological evaluation, radiation therapy (RT), and follow-up. RESULTS: The median age at diagnosis was 42 years and young premenopausal patients (median age 35 years) had malignant PT. Forty-five patients underwent core needle biopsy (CNB) with high sensitivity and the positive predictive value (82.2% and 97.4% respectively). Thirty-nine patients (86.7%) underwent conservative surgery and 6 (13.3%) had a mastectomy. Twenty-seven (58.6%) were classified as benign, 11 (23.9%) as borderline and only 8 (17.4%) as malignant PT. Malignant PT had the greatest median tumor size (13 cm). Mortality and recurrence rates were 4.3% and 2.2% respectively. RT was administered in 6 patients (13.0%), 5 having malignant and 1 borderline PT. The metastatic rate was found to be 6.5%. CONCLUSION: PT are rare breast tumors with variable biologic behavior and heterogenous clinicopathological findings. Young, premenopausal women with large tumors may have malignant PT with a risk of recurrence and metastasis. Core needle biopsy is a reliable tool for diagnosis of PT with strict follow-up recommended for large tumors diagnosed as fibroadenoma on CNB. Surgical management must ensure a tumor-free margin on excision to reduce recurrence.

Palliative Care in Saudi Arabia: An Updated Assessment Following the National Vision 2030 Reforms.

Background: Palliative care (PC) plays a crucial role in improving the quality of life for terminally ill patients and their families. In Saudi Arabia, the Reform of Healthcare Vision 2030 has recognized the importance of PC and aimed to enhance its availability and quality. Objectives: This study evaluates the current state of PC in Saudi Arabia post-Vision 2030 reforms. Design: A cross-sectional survey-based research was conducted at a ministry of health health care facility to assess the accessibility and quality of PC services. Setting/Subjects: The survey collected quantitative and qualitative data from PC managers in Saudi Arabia. Retrospective analysis of annual death records determined the demand for PC. Results: The results indicate notable progress in developing PC services in Saudi Arabia, including increased number of PC units, community home care services, outpatient services, and consultations. However, challenges persist in terms of geographical distribution, resource allocation, and availability of pain medications, particularly opioids. The study highlights the substantial need for PC for both cancer and noncancer patients, emphasizing the importance of expanding these services. Conclusions: To further improve PC, policymakers and stakeholders should prioritize resource allocation, health care workforce, and access to pain medications. These efforts will address the growing demand for PC and benefit terminally ill patients and their families in Saudi Arabia.

Stealthy data integrity attack identification in smart grid networks utilizing deep denoising autoencoder.

Smart grids arose as the largest cyber-physical systems with the integration of sophisticated control, computing, and state-of-the-art communications. Like all cyber-physical systems, the smart grids are vulnerable to malicious cyber assaults due to their enormous dependency on communication networks. Various machine learning-based schemes are being investigated in the industry and academia to develop robust defense mechanisms to counter cyber assaults. However, the curse of high dimensionality, which increases with the escalating evolution of an electric power system, infringes upon the efficiency of machine learning models employed to detect such assaults. To this end, this paper proposes a deep denoising autoencoder (DAE)-based framework for dimensionality reduction that learns salient feature representation for high-dimensional, multi-variant smart grid measurement data collected from the smart grids. The latent space apprehended by DAE is then fed to binary support vector machine (SVM) to determine the assaulted data. Various standard IEEE test cases are employed in simulations. The results show that the proposed scheme learns more robust features that reveal the nonlinear properties exhibited in the smart grid measurements, further leading to improved detection accuracy of the classifier as compared to existing approaches.

Smart transactive energy based approach for planning and scheduling in multi-looped microgrid distribution network across planning horizon.

In this paper, an innovative transactive energy approach is proposed as viable option for coordinated distribution system planning across a certain horizon. The proposed approach is evaluated across a multi-looped (meshed) test system and is implemented with load growth having prosumers participating in the electrical market in transactive energy system aiming at evaluation on techno-economic basis. Apart from prosumer sensitivity analysis, evaluations have been carried across reducing total production cost of energy, reduction in per unit price, active power losses. Whereas improving voltage profile, cost of scheduling and consumer per kWh purchase and sales in comparison with traditional counterpart. The proposed framework includes optimization algorithm aiming at sources scheduling and IEEE 69 system for validation. The algorithm minimizes cost, maximizes energy efficiency, increases renewable energy mix and reduces consumers cost of energy purchase. Reduction of 51.44 % in cost of energy is achieved, whereas loss reduction of 12.6% is achieved. The comparison of IEEE 69-bus base case with the 10 %, 15% and 20% transactive energy applied with simulations to evaluate performance parameters that will directly benefit both prosumers and utility alike in-terms of low bills and further reduction of stress on the grid amid load growth across multiple years.

Partial Cystectomy Management of Bladder Leiomyoma in a Patient With Recurrent Urinary Tract Infections: A Case Study.

Bladder leiomyomas are uncommon benign soft tissue neoplasms of the bladder, frequently observed in women. Diagnosis often happens incidentally during ultrasonography, with symptoms varying based on tumour size and location. Here, we present a case of a 57-year-old woman with poorly controlled type 2 diabetes mellitus, successfully treated for bladder leiomyoma through transurethral resection and laparoscopic partial cystectomy. This case highlights the significance of early detection and timely intervention in optimizing patient outcomes for bladder leiomyoma.

Decline in ESBL Production and Carbapenem Resistance in Urinary Tract Infections among Key Bacterial Species during the COVID-19 Pandemic.

The COVID-19 pandemic has led to significant changes in healthcare practices, including increased antibiotic usage. This study aimed to investigate the impact of the pandemic on the prevalence of extended-spectrum ß-lactamase (ESBL) production and carbapenem resistance among key bacterial species causing urinary tract infections (UTIs). Conducted at King Fahad Medical City in Riyadh from January 2018 to December 2022, the study analyzed urine samples from 9697 UTI patients. Patients were categorized into 'pre-COVID-19' and 'during COVID-19' groups. Bacterial isolates were identified, and antimicrobial susceptibility testing was performed following guidelines. ESBL production was detected using the Double-Disc Synergy Test. Escherichia coli and Klebsiella pneumoniae were the main pathogens. During the pandemic, ESBL production decreased in E. coli by 1.9% and in K. pneumoniae by 6.0%. Carbapenem resistance also declined, with E. coli displaying a 1.2% reduction and K. pneumoniae and Pseudomonas aeruginosa displaying 10.7% and 7.9% reductions, respectively. Notably, logistic regression analysis revealed that the odds of ESBL presence were 10% lower during the COVID-19 pandemic (OR 0.91; 95% CI 0.83-0.99; p = 0.040), and there was a significant reduction in the odds of carbapenem resistance (OR 0.43; 95% CI 0.37-0.51; p < 0.001). This study reveals a significant decrease in ESBL production and carbapenem resistance among UTI pathogens during the COVID-19 pandemic, hinting at the impact of modified antibiotic and healthcare approaches. It emphasizes the need for persistent antimicrobial resistance surveillance and policy adaptation to address resistance challenges, offering key directions for future public health actions.

Maximizing solar power generation through conventional and digital MPPT techniques: a comparative analysis.

A substantial level of significance has been placed on renewable energy systems, especially photovoltaic (PV) systems, given the urgent global apprehensions regarding climate change and the need to cut carbon emissions. One of the main concerns in the field of PV is the ability to track power effectively over a range of factors. In the context of solar power extraction, this research paper performs a thorough comparative examination of ten controllers, including both conventional maximum power point tracking (MPPT) controllers and artificial intelligence (AI) controllers. Various factors, such as voltage, current, power, weather dependence, cost, complexity, response time, periodic tuning, stability, partial shading, and accuracy, are all intended to be evaluated by the study. It is aimed to provide insight into how well each controller performs in various circumstances by carefully examining these broad parameters. The main goal is to identify and recommend the best controller based on their performance. It is notified that, conventional techniques like INC, P&O, INC-PSO, P&O-PSO, achieved accuracies of 94.3, 97.6, 98.4, 99.6 respectively while AI based techniques Fuzzy-PSO, ANN, ANFIS, ANN-PSO, PSO, and FLC achieved accuracies of 98.6, 98, 98.6, 98.8, 98.2, 98 respectively. The results of this study add significantly to our knowledge of the applicability and effectiveness of both AI and traditional MPPT controllers, which will help the solar industry make well-informed choices when implementing solar energy systems.

Snakebite Advice and Counseling From Artificial Intelligence: An Acute Venomous Snakebite Consultation With ChatGPT.

BACKGROUND: Snakebites, particularly from venomous species, present a significant global public health challenge. Access to accurate and timely information regarding snakebite prevention, recognition, and management is crucial for minimizing morbidity and mortality. Artificial intelligence (AI) language models, such as ChatGPT (Chat Generative Pre-trained Transformer), have the potential to revolutionize the dissemination of medical information and improve patient education and satisfaction. METHODS: This study aimed to explore the utility of ChatGPT, an advanced language model, in simulating acute venomous snakebite consultations. Nine hypothetical questions based on comprehensive snakebite management guidelines were posed to ChatGPT, and the responses were evaluated by clinical toxicologists and emergency medicine physicians. RESULTS: ChatGPT provided accurate and informative responses related to the immediate management of snakebites, the urgency of seeking medical attention, symptoms, and health issues following venomous snakebites, the role of antivenom, misconceptions about snakebites, recovery, pain management, and prevention strategies. The model highlighted the importance of seeking professional medical care and adhering to healthcare practitioners' advice. However, some limitations were identified, including outdated knowledge, lack of personalization, and inability to consider regional variations and individual characteristics. CONCLUSION: ChatGPT demonstrated proficiency in generating intelligible and well-informed responses related to venomous snakebites. It offers accessible and real-time advice, making it a valuable resource for preliminary information, education, and triage support in remote or underserved areas. While acknowledging its limitations, such as the need for up-to-date information and personalized advice, ChatGPT can serve as a supplementary source of information to complement professional medical consultation and enhance patient education. Future research should focus on addressing the identified limitations and establishing region-specific guidelines for snakebite management.

Artificial Intelligence (AI) Chatbots in Medicine: A Supplement, Not a Substitute.

This editorial discusses the role of artificial intelligence (AI) chatbots in the healthcare sector, emphasizing their potential as supplements rather than substitutes for medical professionals. While AI chatbots have demonstrated significant potential in managing routine tasks, processing vast amounts of data, and aiding in patient education, they still lack the empathy, intuition, and experience intrinsic to human healthcare providers. Furthermore, the deployment of AI in medicine brings forth ethical and legal considerations that require robust regulatory measures. As we move towards the future, the editorial underscores the importance of a collaborative model, wherein AI chatbots and medical professionals work together to optimize patient outcomes. Despite the potential for AI advancements, the likelihood of chatbots completely replacing medical professionals remains low, as the complexity of healthcare necessitates human involvement. The ultimate aim should be to use technology like AI chatbots to enhance patient care and outcomes, not to replace the irreplaceable human elements of healthcare.

Preparation of Cu/Sn-Organic Nano-Composite Catalysts for Potential Use in Hydrogen Evolution Reaction and Electrochemical Characterization.

In this work, the solvothermal solidification method has been used to be prepared as a homogenous CuSn-organic nano-composite (CuSn-OC) to use as a catalyst for alkaline water electrolysis for cost-effective H2 generation. FT-IR, XRD, and SEM techniques were used to characterize the CuSn-OC which confirmed the formation of CuSn-OC with a terephthalic acid linker as well as Cu-OC and Sn-OC. The electrochemical investigation of CuSn-OC onto a glassy carbon electrode (GCE) was evaluated using the cyclic voltammetry (CV) method in 0.1 M KOH at room temperature. The thermal stability was examined using TGA methods, and the Cu-OC recorded a 91.4% weight loss after 800 °C whereas the Sn-OC and CuSn-OC recorded 16.5 and 62.4%, respectively. The results of the electroactive surface area (ECSA) were 0.5, 0.42, and 0.33 m2 g-1 for the CuSn-OC, Cu-OC, and Sn-OC, respectively, and the onset potentials for HER were -420, -900, and -430 mV vs. the RHE for the Cu-OC, Sn-OC, and CuSn-OC, respectively. LSV was used to evaluate the electrode kinetics, and the Tafel slope for the bimetallic catalyst CuSn-OC was 190 mV dec-1, which was less than for both the monometallic catalysts, Cu-OC and Sn-OC, while the overpotential was -0.7 vs. the RHE at a current density of -10 mA cm-2.

Detecting Vertical Root Fractures Using Modified Methylene Blue Dye: A Preliminary In Vitro Study.

Diagnostically, vertical root fractures (VRFs) can be a frustrating experience for the dentist. Misdiagnosis could result in significant time and effort losses involved in erroneously intervening endodontically and/or periodontally. Certainly, diagnosing VRFs is often very difficult, and diagnoses based on speculations have led to the extraction of many salvageable teeth. This study was conducted in the radiology unit of College of Dentistry, Prince Sattam bin Abdulaziz University, between December 2021 and June 2022 to evaluate the ability to detect VRFs following the use of a novel radio-opaque dye using periapical radiographs (PARs) and cone-beam computed tomography (CBCT). After carefully inducing VRFs on extracted, single-rooted, virgin premolars (n = 26), they were assigned to control (n = 2) and experimental groups (n = 24). The fracture site of the tooth in the control group received methylene blue dye, whereas the experimental group received a novel dye. Two differently angled PARs were obtained for all the teeth, followed by a CBCT image. Three blinded investigators participated in scoring a Likert scale form with a set of questions. Inter-/intra-examiner reliability showed excellent consistency using Cronbach's alpha test. The Z-test revealed CBCT and PAR to be equally adept at detecting VRFs, with the mean values showing no statistically significant differences. The extent of the VRFs and dye penetration were significantly better when angled radiographs and axial view CBCT were evaluated. Within the limitations of this study, the dye tested showed promising initial results as an aid in radiographically detecting VRFs. The use of such minimally invasive methods is critically needed for diagnosing and managing VRFs. However, further testing should be performed prior to its clinical use.

Bacterial Pathogens and Antimicrobial Susceptibility Patterns of Urinary Tract Infections in Children during COVID-19 2019-2020: A Large Tertiary Care Center in Saudi Arabia.

BACKGROUND: One of the most prevalent bacterial infections in children is urinary tract infection (UTI), which has become a major concern with increasing resistance of the pathogens to the routinely used antimicrobial agents. The aim of the study is to determine the antimicrobial susceptibility patterns of pediatric UTI-causing pathogens, including ESBL-producing bacteria, in Saudi Arabia. METHODS: This cross-sectional retrospective study was conducted to ascertain the frequency of isolation and the antimicrobial resistance pattern of uropathogens among children aged 0-15 years. The data from the urine cultures was collected during 2019-2020 at the King Fahad Medical City, a major tertiary hospital in Riyadh, Saudi Arabia. A total of 1022 urine samples from patients diagnosed with urinary tract infections (UTIs) were collected for this study. Microbial species present in the samples were cultured and identified using standard biochemical techniques. To assess the resistance of these strains to antimicrobial drugs, an in vitro method was employed, and the criteria set by the Clinical Laboratory Standard Institute (CLSI) were followed. In addition, a double-disc synergy test was conducted to identify strains of E. coli that produce extended-spectrum beta-lactamase (ESBL). RESULTS: The predominant pathogens were E. coli (58.6%), followed by Klebsiella sp. (23.9%). E. coli isolates were more sensitive to meropenem and ertapenem in 99.2% of cases, followed by amikacin (99%). Klebsiella sp. were sensitive to amikacin in 97.1% of cases, followed by meropenem and ertapenem (92.2% in both). The highest sensitivities of antimicrobials toward ESBL were for meropenem and ertapenem (100% in both), followed by amikacin (99%). CONCLUSIONS: Our study recommends using local antibiotic sensitivity data for empirical UTI treatment. Amikacin, ertapenem, and meropenem are effective intravenous options. Cephalosporin, cefuroxime, amoxicillin/clavulanic acid, and nitrofurantoin are suitable oral choices. No significant changes in antimicrobial susceptibility were observed during the COVID-19 pandemic. Further research is needed to assess potential pandemic-related alterations.

Assessment of Wind and Solar Hybrid Energy for Agricultural Applications in Sudan.

In addition to zero-carbon generation, the plummeting cost of renewable energy sources (RES) is enabling the increased use of distributed-generation sources. Although the RES appear to be a cheaper source of energy, without the appropriate design of the RES with a true understanding of the nature of the load, they can be an unreliable and expensive source of energy. Limited research has been aimed at designing small-scale hybrid energy systems for irrigation pumping systems, and these studies did not quantify the water requirement, or in turn the energy required to supply the irrigation water. This paper provides a comprehensive feasibility analysis of an off-grid hybrid renewable energy system for the design of a water-pumping system for irrigation applications in Sudan. A systematic and holistic framework combined with a techno-economic optimization analysis for the planning and design of hybrid renewable energy systems for small-scale irrigation water-pumping systems is presented. Different hybridization cases of solar photovoltaic, wind turbine and battery storage at 12 different sites in Sudan are simulated, evaluated, and compared, considering the crop water requirement for different crops, the borehole depth, and the stochasticity of renewable energy resources. Soil, weather, and climatic data from 12 different sites in Sudan were used for the case studies, with the key aim to find the most robust and reliable solution with the lowest system cost. The results of the case studies suggest that the selection of the system is highly dependent on the cost, the volatility of the wind speed, solar radiation, and the size of the system; at present, hybridization is not the primary option at most of sites, with the exception of two. However, with the reduction in price of wind technology, the possibility of hybrid generation will rise.

The effect of COVID-19 on the characteristics of adult emergency department visits: A retrospective cohort tertiary hospital experience in Riyadh.

BACKGROUND: On March 2, 2020, Saudi Arabia identified the first positive COVID-19 case. Since then, several aspects of the COVID-19 impact on Emergency Departments (EDs) use have been reported. The objective of this study is to describe the pattern and characteristics of Emergency Department visits during the COVID-19 pandemic period, compared with the same period in the previous year, including the patients' demographic information, acuity level, length of stay, and admission rate. METHODS: Data were collected from King Abdulaziz Medical City in Riyadh, Saudi Arabia. The health records of all the patients who presented at the Emergency Department from January 2019 to September 2020 were retrospectively reviewed. The variations in the patient and the visit characteristics were described for the periods before and during COVID-19. RESULTS: The records of 209,954 patients who presented at the Emergency Department were retrieved. In contrast to 2019, the number of visits during the pandemic period reduced by 23%. A dramatic decrease was observed after the announcement of the first COVID-19 diagnosed case in Saudi Arabia, and subsequently the numbers gradually increased. The patients who presented at the Emergency Department during the pandemic period were slightly older (mean age, 43.1 versus 44.0 years), more likely to be older, more urgent and had a higher admission rate compared to the pre-pandemic period. There was a slight increase in visits during the daytime curfew hours and a decrease during the nighttime. CONCLUSION: We report a considerable decrease in the number of Emergency Department visits. The reduction was higher in non-urgent and less urgent cases. Patients presenting at the Emergency Department during the curfew times were more likely to stay longer in the Emergency Department and more likely to be admitted, compared with the pre-pandemic period.

The Hidden Cause of Maculopapular Rash in Interleukin-12 Deficiency.

Interleukin-12 RB1 (IL12RB1) deficiency falls under the Mendelian susceptibility to mycobacterial disease. It is a rare genetic disease with autosomal recessive inheritance. It is characterized by recurrent infections with otherwise weak bacteria, such as mycobacteria and Salmonella. Often, when encountering a maculopapular eruption, a drug-related cause comes to mind. However, we report a case of IL12RB1 deficiency presenting with a maculopapular eruption, proven by a skin biopsy to be leukocytoclastic vasculitis. The patient was given antibiotics, which improved her skin lesions. Vasculitis should be considered in the differential diagnosis in patients with IL12RB1 deficiency presenting with a cutaneous eruption.

Physician's Perception Toward Using Telemedicine During COVID-19 Pandemic in King Abdulaziz Medical City, Riyadh, Saudi Arabia.

Introduction The novel coronavirus, officially known as COVID-19, was first reported in Wuhan, China, in December of 2019. Since that time, medical services in Saudi Arabia have adapted to the situation by delivering medical care via virtual clinics. Therefore, the aim of the study is to assess physicians' perception and the level of satisfaction with telemedicine during the COVID-19 pandemic in Riyadh, Saudi Arabia. Methods This was a cross-sectional study that included family medicine consultants and fellows who had used telemedicine in primary health care centers in Riyadh, Saudi Arabia. It was conducted using an online validated questionnaire. The questionnaire was completed by 219 family medicine consultants and fellows, after obtaining their informed consent. The data that were extracted from the questionnaire included demographics, level of satisfaction, and questions related to their experience with telemedicine. Results Two hundred and nineteen participants enrolled in this study with 50.6% males and 49.4% females. The overall level of physicians' satisfaction with telemedicine was 64.3%. However, only one-third preferred telemedicine over office visits. Of these, 60% were males and 40% were females. The only factor that had a statistically significant effect on the preference of office visits or telemedicine was time efficiency (p-value < 0.001). Of those who preferred office visits over telemedicine, 52% of them cited ease of discussion and the ability to make a comprehensive physical examination as the most important reasons for choosing office visits. Technologic issues were the least important factor for choosing either clinic (4.1%). Of those who preferred telemedicine, avoiding contact with patients suspected of COVID-19 was the most commonly cited factor (27.4%). Family medicine physicians face multiple barriers while using telemedicine during the COVID-19 pandemic. The most commonly cited barrier was the inability to make a full and comprehensive assessment of the patient. Conclusions In the setting of highly transmissible disease epidemics, telemedicine has a lot of potential for providing quick and safe care that is appropriate for screening and management. Based on our findings, using telemedicine should be encouraged by improving physicians' skills in this field since telemedicine is a crucial step to reduce the risk of COVID-19 transmission and provide community-wide treatment.

Anatomy of the accessory mental foramen in a Saudi subpopulation: A multicenter CBCT study.

AIM: The aim of this is to evaluate the prevalence and location of the accessory mental foramen (AMF) in a Saudi population using cone-beam computed tomography (CBCT). METHODOLOGY: CBCT data were retrieved from two dental facilities at two universities located in two different cities and filtered over a period of four years. The scans were aligned when the AMF was noticed, and then the size of both the AMF and mental foramen (MF), its location, and the distance from the AMF to the MF were recorded. The AMF measurements were compared between males and females and between the two sides of the mandible. RESULTS: In total, 603 CBCT scans were investigated. The percentage of scans with an AMF was 9.95% (n = 60), and AMFs were almost equally distributed on both sides. Only four cases (0.66%) of a second AMF were detected among the scans. The MFs on both sides were significantly larger in males than in females (P > 0.05), but they showed no differences in the sizes of the AMFs. The AMFs were most commonly located inferior and posterior to the MF. The distance between the MF and AMF ranged from 2.32 to 5 mm. CONCLUSIONS: The prevalence of the AMF in this Saudi population was 9.95%, and it was significantly more prevalent in males than in females. Its proximity to the MF makes it clinically important to conduct proper detailed planning prior to performing any procedure that might risk the vital structures.

Patient satisfaction with virtual clinic during Coronavirus disease (COVID-19) pandemic in primary healthcare, Riyadh, Saudi Arabia.

BACKGROUND: The novel coronavirus, officially known as COVID-19, was first reported in Wuhan, China in December of 2019. Since that time, medical services in Saudi Arabia have adapted to the situation by delivering medical care via virtual clinics. Therefore, the present study aimed to assess patients' level of satisfaction with virtual clinics during the COVID-19 pandemic in Saudi Arabia. MATERIALS AND METHODS: This cross-sectional study was conducted among patients who had experienced virtual clinics in primary healthcare centers in Riyadh, Saudi Arabia. An online validated questionnaire was sent to all participants who had at least one virtual visit between March 2020 to July 2020. The data sought included demographics, level of satisfaction and questions related to their experience with virtual clinics. Computed frequencies and percentages for categorical variables, and median, mean, and standard deviation for continuous variables. Satisfaction scores were compared between groups using Mann-Whitney U test and Kruskal Wallis test. RESULTS: A total of 439 patients completed the questionnaire (response rate 97.5%); 54% were male. The participants were divided into three age groups: 18-39, 40-59, and ≥60 years. Overall level of patients' satisfaction with virtual clinic was 68.1%. Factors statistically significantly associated with satisfaction included gender, age group and level of education (post-graduate and middle school) and being well-informed on the use of telemedicine. Specific age groups that were significant were 18-39 and 40-59 years; 50.2% of the males found telemedicine very convenient, compared to only 36.1% females. Family medicine clinics were the most commonly visited virtual clinics, whereas obstetrics and gynecology clinics were the least attended virtual clinics. The inability to meet the health-care professional face-to-face was reported by 53.8% as the most important disadvantage. CONCLUSION: This study shows a high level of satisfaction with virtual clinics in Saudi Arabia during the COVID-19 pandemic despite the service being relatively new in healthcare service in the country. Our study demonstrated that satisfaction was linked to age, gender, education and the type of clinic used.

Integration of Palliative Care Into Primary Health Care: Model of Care Experience.

Background The World Health Organization (WHO) has recognized access to palliative care as a basic human right. Palliative care service has been established in Saudi Arabia for more than two decades; however, it is still limited to secondary and tertiary healthcare institutions. While primary care is the first level of care in the Saudi healthcare system and covers the largest amount of the population, palliative care is still far from implemented at this level. Objectives This study sought to evaluate the outcome of integrating palliative care service at the primary healthcare level and assess patient satisfaction with services provided by primary healthcare centers (PHCCs). Results Two hundred patients participated in the study, including 50 new patients and 150 existing patients for follow-up. One hundred ten patients, in addition to 200 caregivers, attended the clinic. Twenty percent were on active oncology treatment. The no-show rate was 45%, and the overall satisfaction score was 90%. Conclusion Palliative care service integration into primary care is beneficial for improving access to early palliative care, and subsequently, improving symptom control, compliance with cancer treatment, quality of life, and overall satisfaction. This model will be implemented in all PHCCs in Saudi Arabia.

Student's Knowledge, Attitudes, and Practices Related to Cardiopulmonary Resuscitation at Qassim University, Saudi Arabia.

Background Cardiopulmonary resuscitation (CPR) is a lifesaving technique that is vital to deal with in many emergencies. Early interference with the cardiopulmonary resuscitation technique is really important for the survival of the patient. This study assesses the level of knowledge, attitudes, and practices regarding CPR among Qassim University students. Materials and methods A cross-sectional study was conducted at Qassim University. The sample was university students. The colleges were chosen by a simple random technique. Data were collected using a pretested, semi-structured questionnaire for knowledge, attitudes, and practices related to CPR. The data were analyzed using Statistical Package for the Social Sciences (SPSS; IBM Corporation, Armonk, NY). Results The total sample size of the participating students was 1148, of which 589 (51.3%) were female and the remaining were male (559, 48.7%). The common age was between 20 and 23 years old and most were from non-medical colleges (54.1%); the remaining (45.9%) were from medical colleges. The majority of female students (45.7%) in medical colleges knew the right location for chest compression better than the males, with a significant difference (p<0.05). No significant difference existed between males and females (p>0.05) regarding most CPR practices. On the other hand, there was a significant increase among medical students as compared to non-medical students (p<0.05) regarding most knowledge, attitudes, and practice items of CPR. Conclusion Based on our study, the knowledge, attitudes, and practices of Qassim University students toward CPR are insufficient and need to be improved. Also, medical students are better than non-medical students at CPR, so we recommend that the incorporation of a Basic Life Support (BLS) course, including CPR learning procedures in the university curriculum, with regular reassessments, would increase the knowledge and application of CPR skills among students for saving people's life.