Exploring Mental Health and Psychosocial Well-Being in Recovered Jordanian Individuals With COVID-19: A Phenomenological Study.

BACKGROUND: COVID-19-related healthcare services focus primarily on medical and physical treatments. Related treatments for psychosocial and mental health needs have not been a priority for healthcare professionals. Understanding the process by which individuals who have recovered from COVID-19 adapt psychologically will allow better planning for mental healthcare and healthcare outcomes. PURPOSE: The purpose of this study was to explore how recovered individuals with COVID-19 adapted to related psychological and social stressors during the infection period. METHODS: A descriptive phenomenological approach was used to investigate a purposive sample of 13 individuals in Jordan who had recovered from COVID-19. Data were collected using semistructured interviews. RESULTS: Perceptions related to being diagnosed with COVID-19 were distinguished into four major themes: conscious awareness (acceptance, victimization, and normalizing), uncertainty (apprehension and poor communication), sources of psychosocial support (caring family, healthcare professionals' support, and self-grieving), and resilience (optimism, positive thinking, and spirituality). CONCLUSIONS: The findings of this study indicate the need to integrate psychosocial and mental healthcare services into healthcare plans provided to individuals with COVID-19 and similar pandemic infections.

Healthcare providers' intention to leave their jobs during COVID-19 pandemic: A cross-sectional study.

Background and Aims: During the coronavirus pandemic (COVID-19), healthcare providers confronted risks of disease transmission to themselves and their family members, resulting in physical and psychological burdens. This might affect their decisions to leave their jobs temporarily or permanently, fearing infection and protecting their families. This study examined the factors related to the intention to leave a job among healthcare providers during the COVID-19 pandemic in Jordan. Methods: A cross-sectional correlational design was used to collect data using a convenience sample of 557 healthcare providers working in different sectors across Jordan. Data were collected using a self-administered questionnaire about the intention to leave jobs during the pandemic. Results: The sample included 368 females (63.8%) and 209 males (36.6%) participants. The mean age of participants was 30.8 years (SD = 6.65). Differences found in intention to leave job during COVID-19 in relation to age (t = 2.60, p < 0.05), gender (X 2 = 4.25, p < 0.001), and marital status (X 2 = 18.2, p < 0.001). Participants with a high risk of exposure to COVID-19 and who experienced higher workloads had higher scores of intention to leave their job during COVID-19, while being married had lower scores. Conclusions: Policy-makers need to pay attention to young and single healthcare providers during the COVID-19 pandemic to prevent them leave their job. Crucial guidelines for managing workload during the COVID-19 pandemic are needed. Policy-makers during pandemics have to protect healthcare providers who feel they are at high risk of infection.

Students Perspective of Clinical Online Training During COVID-19 Pandemic: A Descriptive Phenomenological

Findings and Results: Data analysis yielded four themes: (a) Missing the real world of the clinical area;(b) falling into the dark side of the experience;(c) losing the confidence to be a competent nurse;and (d) the need for supporting hand. [...]numerous measures have been taken by governments and organizations to prevent its spread, including restrictions on normal life, trade activities, and travel, and announcing curfew in countries and locking up cities and countries (Al-Balas et al., 2020;Anzai et al., 2020)). Since most educational institutions lacked previous experience of similar crises, they were unable to predict what will shortly happen during the pandemic (Al-Balas et al., 2020;Aslan & Pekince, 2021;Duke & Osim, 2020). With reference to students' satisfaction and achievement with online education, several studies have found online learning appropriate, flexible and beneficial and that students had positive experience for the elective courses rather than for core courses (Lu et al., 2009;Makin & Bowers, 2020;Moradimokhles & Hwang, 2020;Salavrakos, 2020).

E-learning Success Factors from the Perspective of Academic Staff at Nursing and Education Colleges During COVID-19 Pandemic: A Comparative Study

Keywords Academic staff, success learning factors, E-learning, COVID-19, pandemic, technology Educational technology has made a very positive impact on teaching and learning during the COVID -19 pandemic (Charband & Navimipour, 2018).Prior to the pandemic broke out, technology had been recognized as inevitable in online learning activities (Pangondian et al.).Technology works through the synchronization process which is a kind of exchange of information to ensure the users', teachers' and students' convenience of accessing the information. In higher education institutions, e-learning has become increasingly important due to number of factors such as information technology revolution and lately due to COVID-19 outbreak that has influenced the psychological stability of students and performance of academicians (AlAzzam et al., 2021;Alqahtani & Rajkhan, 2020;Chang et al., 2020;Hamaideh et al., 2021;McGill et al., 2014;Salavrakos). The development and use of a variety of E-learning tools ranging from using email to creating a digital portfolio and a virtual learning environment has resulted in several challenges in higher education institutions, particularly with respect to their educational provision and support methods. [...]at the institutional systems, e-learning can be used primarily to manage course materials, enrollment of students and to support the intensive course requirements such as assignments and presentations depending on particular platform (Fawaz & Hamdan-Mansour, 2016;Fawaz et al., 2018;McGill et al., 2014).On the other hand, and at local level, e-learning can be advised for single course induction, training, and certain learning activities (Raspopovic et al., 2014).At both levels, the instructors will be challenged to maintain high level of performance and capabilities to achieve the intended learning outcomes (Halasa et al., 2020;Hamaideh et al., 2021).

Predictors of Depression and Anxiety Among Senior High School Students During COVID-19 Pandemic: The Context of Home Quarantine and Online Education.

This study aimed to examine the prevalence and predictors of depression and anxiety among senior high school students in Jordan during the COVID-19 pandemic. The study used an anonymous online survey that targeted senior high school students in Jordan. Almost two thirds of students reported depressive symptoms and anxiety. Father's level of education, mothers' level of education, perceived difficulties in online education, gender, and age were significant predictors of depression, while father's level of education, difficulties in online education, gender, and age were significant predictors of anxiety (p < .05). Among those identified as having depression, 30.7% were male and 50.7% were female. The prevalence of anxiety among students was high, and the prevalence of anxiety in females (46.9%) is greater than males (27.6%). School health nurses and mental health counselors at schools need to emphasize the mental health and psychosocial support needs for senior high school students.