ChatGPT-3.5 System Usability Scale early assessment among Healthcare Workers: Horizons of adoption in medical practice.

Artificial intelligence (AI) chatbots, such as ChatGPT, have widely invaded all domains of human life. They have the potential to transform healthcare future. However, their effective implementation hinges on healthcare workers' (HCWs) adoption and perceptions. This study aimed to evaluate HCWs usability of ChatGPT three months post-launch in Saudi Arabia using the System Usability Scale (SUS). A total of 194 HCWs participated in the survey. Forty-seven percent were satisfied with their usage, 57 % expressed moderate to high trust in its ability to generate medical decisions. 58 % expected ChatGPT would improve patients' outcomes, even though 84 % were optimistic of its potential to improve the future of healthcare practice. They expressed possible concerns like recommending harmful medical decisions and medicolegal implications. The overall mean SUS score was 64.52, equivalent to 50 % percentile rank, indicating high marginal acceptability of the system. The strongest positive predictors of high SUS scores were participants' belief in AI chatbot's benefits in medical research, self-rated familiarity with ChatGPT and self-rated computer skills proficiency. Participants' learnability and ease of use score correlated positively but weakly. On the other hand, medical students and interns had significantly high learnability scores compared to others, while ease of use scores correlated very strongly with participants' perception of positive impact of ChatGPT on the future of healthcare practice. Our findings highlight the HCWs' perceived marginal acceptance of ChatGPT at the current stage and their optimism of its potential in supporting them in future practice, especially in the research domain, in addition to humble ambition of its potential to improve patients' outcomes particularly in regard of medical decisions. On the other end, it underscores the need for ongoing efforts to build trust and address ethical and legal concerns of AI implications in healthcare. The study contributes to the growing body of literature on AI chatbots in healthcare, especially addressing its future improvement strategies and provides insights for policymakers and healthcare providers about the potential benefits and challenges of implementing them in their practice.

Assessment of Knowledge, Perceptions, and Attitudes During the Global Mpox Outbreak in June 2022: A Cross-Sectional Study From the United Arab Emirates.

Objectives: To examine knowledge, worry, anxiety, and vaccine acceptance for mpox among UAE adults. Methods: An online survey, advertised on academic and social media platform in June 2022 collected data from 959 participants (aged 18 and above) on mpox beliefs, risks, knowledge, worry, anxiety, COVID-19 infection, vaccination, and willingness to receive the mpox vaccine. Bivariate and logistic regression analysis identified associations and predictors between variables. Results: 56% had optimal knowledge of mpox transmission and symptoms. 54% were worried, and 27% experienced anxiety related to the outbreak. Knowledge scores were higher among women, healthcare workers, and those with reliable information sources. High perceived infection risk, changes in precautionary measures, and belief in difficult treatment predicted more worry and anxiety. Higher worry and two or more doses of the COVID-19 vaccine predicted higher likelihood of taking the mpox vaccine. Conclusion: The UAE population showed low knowledge and high worry and anxiety during the global mpox outbreak. Increasing public awareness through targeted educational campaigns is vital. Promoting better understanding of infectious diseases, addressing concerns, and encouraging vaccine uptake can prepare for future outbreaks.

Mental health impact of COVID-19 on Saudi families and children with special educational needs and disabilities in Saudi Arabia: A national perspective.

Introduction: The COVID-19 pandemic revealed a multidimensional impact on mental health due to health concerns, social distancing and lockdowns, job loss, and limits in institutional support. Accordingly, COVID-19 may disproportionally impact families with special educational needs and disabilities (SEND) due to the already high prevalence of mental health conditions in children with SEND and their parents. Hence, it is essential to determine the short-term impact of the pandemic on the mental health of families with SEND to identify their ongoing health, including psychological wellbeing and support needs. The current study examines the anxiety level and concerns of children with SEND and their parents living in Saudi Arabia. Methodology: A cross-sectional national study design was utilized as a part of an international consortium using an online Arabic survey. Data were collected from the Ministry of Human Resources and Social Development beneficiaries from May to July 2020. The sample consisted of 1,848 parents of children with SEND aged between 1 and 18 years (mean = 9.66; SD = 4.31). A descriptive and bivariant analysis is reported. Results: Parental worries on all those concerns when the pandemic started were significantly higher than before the pandemic, p < 0.050. Parental-perceived general anxiety had risen significantly across time, p < 0.001, and their perceived anxiety when the pandemic started exceeded their anxiety before the pandemic, p < 0.001. The general anxiety of children with SEND had risen significantly across time (from before the pandemic to when it had started to during the pandemic), p < 0.001. The children's general worries at the start of the pandemic had correlated significantly and positively with their anxiety, adaptive, maladaptive, and coping efficacies, and parental anxiety scores, p < 0.010 each. Conclusion: Anxiety levels were high in SEND and their caregivers before and during COVID-19. At the start of the pandemic, the anxiety, adaptive, maladaptive, coping efficacies, and parental anxiety scores of children with SEND were significantly and favorably correlated. These findings support the notion of SEND-specific anxiety and patterns of coping in SEND and their caregivers. The notion also attests to the institutional support required for this specifically vulnerable population during epidemics.

Remote interviews for medical residency selection during the initial COVID-19 crisis: a national survey.

BACKGROUND: Medical training programs candidate's interview is an integral part of the residency matching process. During the coronavirus disease 2019 (COVID-19) pandemic, conducting these interviews was challenging due to infection prevention restrains (social distancing, namely) and travel restrictions. E-interviews were implemented by the Saudi Commission for Healthcare Specialties (SCFHS) since the matching cycle of March 2020 to hold the interviews in a safer virtual environment while maintaining the same matching quality and standards. AIM: This study was conducted to assess the medical training residency program applicants' satisfaction, stress, and other perspectives for the (SCFHS) March 2020 Matching-cycle conducted through an urgently implemented E-interviews process. METHOD: A cross-sectional, nationwide survey (Additional file 1) was sent to 4153 residency-nominated applicants to the (SCFHS) March 2020 cycle. RESULTS: Among the 510 candidates who responded, 62.2% applied for medical specialties, 20.2% applied for surgical specialties, and 17.6% applied for critical care and emergency specialties. Most respondents (61.2%) never had previous experience with web-based video conferences. Most respondents (80.2%) used the Zoom application to conduct the current E-interviews, whereas only 15.9% used the FaceTime application. 63.3% of the respondents preferred E-interviews over in-person interviews, and 60.6% rated their experience as very good or excellent. 75.7% of the respondents agreed that all their residency program queries were adequately addressed during the E-interviews. At the same time, 52.2% of them agreed that E-interviews allowed them to represent themselves accurately. 28.2% felt no stress at all with their E-interviews experience, while 41.2% felt little stressed and only 8.2% felt highly stressed. The factors that were independently and inversely associated with applicants' level of stress with E-interviews experience were their ability to represent themselves during the interviews (p = 0.001), cost-savings (p < 0.001), their overall rating of the E-interviews quality (p = 0.007) and the speed of the internet connection (p < 0.006). CONCLUSION: Videoconferencing was implemented on an urgent basis during the COVID-19 pandemic in the medical residency application process in Saudi Arabia. It was perceived as an adequate and promising tool to replace in-person interviews in the future. Applicants' satisfaction was mainly driven by good organization, cost-saving, and their ability to present themselves. Future studies to enhance this experience are warranted.

Predictors and Direct Cost Estimation of Long Stays in Pediatric Intensive Care Units in Saudi Arabia: A Mixed Methods Study.

BACKGROUND: Several factors influence patients' length of stay (LOS) in pediatric intensive care units (PICUs). This study explored the factors and cost associated with long LOS among pediatric patient population across various PICUs and pediatric surgical cardiac intensive care units (SCICUs). METHODS: This is a multi-center concurrent mixed-methods study that was conducted in different PICUs and SCICUs in Riyadh, Saudi Arabia. The units' leaders were qualitatively interviewed to explore the potential factors contributing to long LOSs in PICUs and SCICUs, and deductive content analysis was used. Microcosting was utilized to estimate the inpatient costs for a sample of long-stay patients (LSPs) and the potential cost savings if those patients were transferred to step-down care units (SDUs) for those who stayed ≥60 days. RESULTS: Ten (90%) leaders of PICUs and SCICUs who were invited had participated. Changing the admission criteria, patient transfer to SDUs, family engagement in the decision-making process, and adopting a national do-not-resuscitate (DNR) policy were factors contributing to short LOSs. On the other hand, administrative constraints, staff avoidance of code status decisions, lack of palliative care resources, and complex patient characteristics were factors associated with long LOSs. The mean inpatient cost per patient was SAR 3.63 million (USD 0.97 million), and the total cost for the 48 patients was SAR 172.95 million (USD 46.12 million). CONCLUSION: If the recommendation to transfer LSPs after a 60-day PICU stay to SDUs is taken, the estimated cost savings among this sample of patients alone can be as high as SAR 109.47 million (USD 29.19 million). Therefore, future studies should examine the factors contributing to long LOSs in PICUs and SCICUs as well as the effectiveness of different policies aimed at improving the resource allocation and management using more robust study designs and diverse patient population.

Erratum: Khan, A.A., et al. Survival and Estimation of Direct Medical Costs of Hospitalized COVID-19 Patients in the Kingdom of Saudi Arabia (Short Title: COVID-19 Survival and Cost in Saudi Arabia). Int. J. Environ. Res. Public Health 2020, 17, 7458.

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Survival and Estimation of Direct Medical Costs of Hospitalized COVID-19 Patients in the Kingdom of Saudi Arabia

OBJECTIVES: Assess the survival of hospitalized coronavirus disease 2019 (COVID-19) patients across age groups, sex, use of mechanical ventilators (MVs), nationality, and intensive care unit (ICU) admission in the Kingdom of Saudi Arabia. METHODS: Data were retrieved from the Saudi Ministry of Health (MoH) between 1 March and 29 May 2020. Kaplan-Meier (KM) analyses and multiple Cox proportional-hazards regression were conducted to assess the survival of hospitalized COVID-19 patients from hospital admission to discharge (censored) or death. Micro-costing was used to estimate the direct medical costs associated with hospitalization per patient. RESULTS: The number of included patients with complete status (discharge or death) was 1422. The overall 14-day survival was 0.699 (95%CI: 0.652-0.741). Older adults (>70 years) (HR = 5.00, 95%CI = 2.83-8.91), patients on MVs (5.39, 3.83-7.64), non-Saudi patients (1.37, 1.01-1.89), and ICU admission (2.09, 1.49-2.93) were associated with a high risk of mortality. The mean cost per patient (in SAR) for those admitted to the general Medical Ward (GMW) and ICU was 42,704.49 ± 29,811.25 and 79,418.30 ± 55,647.69, respectively. CONCLUSION: The high hospitalization costs for COVID-19 patients represents a significant public health challenge. Efficient allocation of healthcare resources cannot be emphasized enough.

Reporting adverse events related to medical devices: A single center experience from a tertiary academic hospital.

Intensive care units (ICU) rely on multiple technical resources with extensive use of different medical devices, such as ventilators, vital sign monitors, infusion, and injection pumps. This study explored how ICU nurses approach adverse events related to medical devices in a single tertiary center and identify their level of awareness of the national reporting system for adverse events related to medical devices beside their source for risk information updates. Totally, 297 nurses working in the ICU at King Saud University Medical City completed a survey on medical devices and adverse events reporting and 198 reported experiencing an adverse event related to equipment failure. However, 195 nurses were unaware of an official national reporting system for reporting such events. It is important to develop a framework of safe operation of medical devices based on international standards. This reporting system should include the national patients' safety authorities, and should be anonymous, confidential, and non-punitive.