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Browsing by Author "Abdulmajeed, Naif"
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Item ChatGPT and the Future of Digital Health: A Study on Healthcare Workers' Perceptions and Expectations(MDPI, 2023-06-21) Temsah, Mohamad-Hani; Aljamaan, Fadi; Malki, Khalid H.; Alhasan, Khalid; Altamimi, Ibraheem; Aljarbou, Razan; Bazuhair, Faisal; Alsubaihin, Abdulmajeed; Abdulmajeed, Naif; Alshahrani, Fatimah S.; Temsah, Reem; Alshahrani, Turki; Al-Eyadhy, Lama; Alkhateeb, Serin Mohammed; Saddik, Basema; Halwani, Rabih; Jamal, Amr; Al-Tawfiq, Jaffar A.; Al-Eyadhy, Ayman; Medicine, School of MedicineThis study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among healthcare professionals. A cross-sectional survey was conducted among 1057 HCWs in Saudi Arabia, distributed electronically via social media channels from 21 February to 6 March 2023. The survey evaluated HCWs' familiarity with ChatGPT-3.5, their satisfaction, intended future use, and perceived usefulness in healthcare practice. Of the respondents, 18.4% had used ChatGPT for healthcare purposes, while 84.1% of non-users expressed interest in utilizing AI Chatbots in the future. Most participants (75.1%) were comfortable with incorporating ChatGPT into their healthcare practice. HCWs perceived the Chatbot to be useful in various aspects of healthcare, such as medical decision-making (39.5%), patient and family support (44.7%), medical literature appraisal (48.5%), and medical research assistance (65.9%). A majority (76.7%) believed ChatGPT could positively impact the future of healthcare systems. Nevertheless, concerns about credibility and the source of information provided by AI Chatbots (46.9%) were identified as the main barriers. Although HCWs recognize ChatGPT as a valuable addition to digital health in the early stages of adoption, addressing concerns regarding accuracy, reliability, and medicolegal implications is crucial. Therefore, due to their unreliability, the current forms of ChatGPT and other Chatbots should not be used for diagnostic or treatment purposes without human expert oversight. Ensuring the trustworthiness and dependability of AI Chatbots is essential for successful implementation in healthcare settings. Future research should focus on evaluating the clinical outcomes of ChatGPT and benchmarking its performance against other AI Chatbots.Item Healthcare Workers’ SARS-CoV-2 Omicron Variant Uncertainty-Related Stress, Resilience, and Coping Strategies during the First Week of the World Health Organization’s Alert(MDPI, 2022-02) Temsah, Mohamad-Hani; Alenezi, Shuliweeh; Alarabi, Mohammed; Aljamaan, Fadi; Alhasan, Khalid; Assiri, Rasha; Bassrawi, Rolan; Alshahrani, Fatimah; Alhaboob, Ali; Alaraj, Ali; Alharbi, Nasser S.; Alrabiaah, Abdulkarim; Halwani, Rabih; Jamal, Amr; Abdulmajeed, Naif; Alfarra, Lina; Almashdali, Wafa; Al-Eyadhy, Ayman; AlZamil, Fahad; Alsubaie, Sarah; Barry, Mazin; Memish, Ziad A.; Al-Tawfiq, Jaffar A.; Medicine, School of MedicineBackground: As the SARS-CoV-2 Omicron variant emerged and spread globally at an alarming speed, healthcare workers’ (HCWs) uncertainties, worries, resilience, and coping strategies warranted assessment. The COVID-19 pandemic had a severe psychological impact on HCWs, including the development of Post-Traumatic Stress symptoms. Specific subgroups of HCWs, such as front-line and female workers, were more prone to poor mental health outcomes and difficulties facing stress. Methods: The responses to an online questionnaire among HCWs in the Kingdom of Saudi Arabia (KSA) were collected from 1 December 2021 to 6 December 2021, aiming to assess their uncertainties, worries, resilience, and coping strategies regarding the Omicron variant. Three validated instruments were used to achieve the study’s goals: the Brief Resilient Coping Scale (BRCS), the Standard Stress Scale (SSS), and the Intolerance of Uncertainty Scale (IUS)—Short Form. Results: The online survey was completed by 1285 HCWs. Females made up the majority of the participants (64%). A total of 1285 HCW’s completed the online survey from all regions in KSA. Resilient coping scored by the BRCS was negatively and significantly correlated with stress as scored by the SSS (r = −0.313, p < 0.010). Moreover, intolerance of uncertainty scored by the IUS positively and significantly correlated with stress (r = 0.326, p < 0.010). Increased stress levels were linked to a considerable drop in resilient coping scores. Furthermore, being a Saudi HCW or a nurse was linked to a significant reduction in resilient coping ratings. Coping by following healthcare authorities’ preventative instructions and using the WHO website as a source of information was linked to a considerable rise in resilient coping. Conclusions: The negative association between resilient coping and stress was clearly shown, as well as how underlying intolerance of uncertainty is linked to higher stress among HCWs quickly following the development of a new infectious threat. The study provides early insights into developing and promoting coping strategies for emerging SARS-CoV-2 variants.