Patients' satisfaction with nursing care quality and associated factors: A cross-section study.

AIM: This research aimed to evaluate patients' satisfaction with the nursing care quality during their hospitalization. DESIGN: Quantitative cross-sectional descriptive design. METHODS: A convenience sample of 238 patients were recruited from hospitals in two provinces in Saudi Arabia. Patient satisfaction was measured by the Arabic version of the Patients' Satisfaction with Nursing Care Quality Questionnaire (PSNCQQ-Ar). RESULTS: Significant differences were found between Saudi provinces regarding the overall quality of nursing care (M = 4.65, p < 0.001). The study revealed mean significant variations between patient satisfaction with nursing care and sociodemographic factors, including age (p = 0.002), education level (p = 0.047), marital status (p = 0.017), employment status (p = 0.038), urban vs. suburban residence (p = 0.006), length of hospitalization (p = 0.001), and accompaniment by a family member (p = 0.014). Improving patients' experience during their hospitalization requires regular examination of the quality of nursing care services. PATIENT CONTRIBUTION: This research enhances our understanding of patients satisfaction toward the quality of nursing care received during hospitalization.

Factors influencing hospital anxiety and depression among emergency department nurses during the COVID-19 pandemic: A multi-center cross-sectional study

Introduction The emergency department (ED) is a highly stressful environment, which exposes nurses to infection. ED nurses handle life-threatening conditions, endure long working hours, and deal with anxious patients and their families. Aim This study aimed to examine factors, which may influence anxiety and depression levels among ED nurses during the coronavirus disease 2019 (COVID-19) pandemic. Methods A cross-sectional design was used with 251 participants from six hospitals in Saudi Arabia (mean age = 32.7 ± 6.59, range = 21–54 years, 70.5% females). Data were collected using the Hospital Anxiety and Depression Scale (HADS), and the analysis was conducted using structural equation modeling (SEM). Results Based on the HADS scores, 29.1 and 25.5% of ED nurses were identified as doubtful cases for depression and anxiety, respectively. Additionally, 34.7 and 43.3% of ED nurses were identified as definite cases for depression and anxiety, respectively. Higher anxiety levels were observed among female nurses, nurses with lower physical activity levels, and nurses who worked in urban areas. Low physical activity levels and more than 6 years of work experience correlated with a higher level of depression. None of the hypothesized paths in the anxiety and depression models were significant, except for two observed variables—namely, work location and physical exercise in the anxiety model and physical exercise in the depression model. Conclusion Emergency department nurses expressed high levels of anxiety and depression during the COVID-19 pandemic, which may negatively affect their performance and reduce care quality. Therefore, health care leaders should implement specialized mental health education programs focused on nursing occupational safety and support to improve ED nurses’ psychological well-being. Specific attention should be paid to ED female nurses who work in urban areas, especially those with more than 6 years of experience.

Unveiling the multitargeted potential of N-(4-Aminobutanoyl)-S-(4-methoxybenzyl)-L-cysteinylglycine (NSL-CG) against SARS CoV-2: a virtual screening and molecular dynamics simulation study.

The coronaviridae family has caused the most destruction among all the viral families in modern sciences. It is one of the recently discovered and added members of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which has caused the global pandemic and significant destruction worldwide. However, scientists worldwide have developed vaccines, which are being given to humans. The mutated strain of the virus has caused various uncertainties about whether the discovered drug and vaccines affect it. Even after the World Health Organization's approval for the vaccines, their effectiveness and protection ratio are still a major concern. At the community level, to this date, there is no medicine available to cure the patients. In this study, we have screened the vast library from Drug Bank and identified N-(4-Aminobutanoyl)-S-(4-methoxybenzyl)-L-cysteinylglycine (NSL-CG) that can work against two major targets of SARS CoV-2, replication-transcription and RNA dependent polymerase. Further, we have performed the Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) and molecular dynamics simulation of the compound with both proteins individually, giving us enough evidence that the said drugs can work against the two targets together. Inhibiting the action of any of both proteins may lead to retaining the virus, and having a dual-targeted drug can be an extra precise measure for this process. The NSL-CG is an experimental drug belonging to the peptidomimetics class included in the small group of drugs with a docking score of -9.079 kcal/mol with replication-transcription -7.885 kcal/mol with RNA-dependent polymerase. Hence, through the complete flowed study, the NSL-CG can be further experimentally validated in in-vitro and in-vivo conditions before human utilisation.Communicated by Ramaswamy H. Sarma.

In-Silico Screening and Molecular Dynamics Simulation of Drug Bank Experimental Compounds against SARS-CoV-2.

For the last few years, the world has been going through a difficult time, and the reason behind this is severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), one of the significant members of the Coronaviridae family. The major research groups have shifted their focus towards finding a vaccine and drugs against SARS-CoV-2 to reduce the infection rate and save the life of human beings. Even the WHO has permitted using certain vaccines for an emergency attempt to cut the infection curve down. However, the virus has a great sense of mutation, and the vaccine's effectiveness remains questionable. No natural medicine is available at the community level to cure the patients for now. In this study, we have screened the vast library of experimental drugs of Drug Bank with Schrodinger's maestro by using three algorithms: high-throughput virtual screening (HTVS), standard precision, and extra precise docking followed by Molecular Mechanics/Generalized Born Surface Area (MMGBSA). We have identified 3-(7-diaminomethyl-naphthalen-2-YL)-propionic acid ethyl ester and Thymidine-5'-thiophosphate as potent inhibitors against the SARS-CoV-2, and both drugs performed impeccably and showed stability during the 100 ns molecular dynamics simulation. Both of the drugs are among the category of small molecules and have an acceptable range of ADME properties. They can be used after their validation in in-vitro and in-vivo conditions.

Hemi-Babim and Fenoterol as Potential Inhibitors of MPro and Papain-like Protease against SARS-CoV-2: An In-Silico Study.

The coronaviruses belong to the Coronaviridae family, and one such member, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is causing significant destruction around the world in the form of a global pandemic. Although vaccines have been developed, their effectiveness and level of protection is still a major concern, even after emergency approval from the World Health Organisation (WHO). At the community level, no natural medicine is currently available as a cure. In this study, we screened the vast library from Drug Bank and identified Hemi-Babim and Fenoterol as agents that can work against SARS-CoV-2. Furthermore, we performed molecular dynamics (MD) simulation for both compounds with their respective proteins, providing evidence that the said drugs can work against the MPro and papain-like protease, which are the main drug targets. Inhibiting the action of these targets may lead to retaining the virus. Fenoterol is a beta-2 adrenergic agonist used for the symptomatic treatment of asthma as a bronchodilator and tocolytic. In this study, Hemi-Babim and Fenoterol showed good docking scores of -7.09 and -7.14, respectively, and performed well in molecular dynamics simulation studies. Re-purposing the above medications has huge potential, as their effects are already well-proven and under public utilisation for asthma-related problems. Hence, after the comprehensive pipeline of molecular docking, MMGBSA, and MD simulation studies, these drugs can be tested in-vivo for further human utilisation.