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1.
Library Hi Tech ; 2022.
Article in English | Scopus | ID: covidwho-1806856

ABSTRACT

Purpose: This study explored the students' perception of their adoption and acceptance of virtual learning (VL), the factors affecting the adoption of educational technologies and the correlation between their intention, perceived behavioral control and care competence in caring for older adults. Design/methodology/approach: A cross-sectional survey was conducted. Surveys were administered to evaluate the participants who were involved in VL on geriatric care during coronavirus disease 2019 (COVID-19) pandemic. A total of 315 nursing students participated in the survey, and 287 valid questionnaires were collected (response rate: 91.11%). Findings: A total of 287 participants (mean age 21.09, SD 1.44 years;242/287, 84.3% female) were included in the study. The variables of intention to use technologies were positively correlated with care competence (r = 0.59, p < 0.001). The results revealed that the major predictors were perceived ease-of-use (PEOU) (β = 0.28, 95% confidence interval (CI) 0.16–0.40) and perceived usefulness (PU) (β = 0.22, CI 0.09–0.35) which were significantly positive predictors of competence in geriatric care. Research limitations/implications: Nursing students lack in clinical knowledge and situational experience in geriatric care;therefore, their perceptiveness, expressions and reflection on the process of providing care to hospitalized older patients should be increased. These results indicated that students improved in geriatric healthcare after/during the VL program during COVID-19 pandemic. Originality/value: It is hoped that the present study would make an invaluable contribution to existing research on education in general and on the quality of care in geriatric nursing as limited studies have been published so far. © 2022, Pei-Lun Hsieh, Shang-Yu Yang, Wen-Yen Lin and Tien-Chi Huang.

2.
Zhonghua Nei Ke Za Zhi ; 59(8): 605-609, 2020 Aug 01.
Article in Chinese | MEDLINE | ID: covidwho-1556260

ABSTRACT

Objective: To evaluate the efficacy and safety of lopinavir/ritonavir (LPV/r) and arbidol in treating patients with coronavirus disease 2019 (COVID-19) in the real world. Methods: The clinical data of 178 patients diagnosed with COVID-19 admitted to Guangzhou Eighth People's Hospital from January 20 to February 10, 2020 were retrospectively analyzed. According to patient's antiviral treatment regimens, 178 patients were divided into 4 groups including LPV/r group (59 patients), arbidol group (36 patients), LPV/r plus arbidol combination group (25 patients) and the supportive care group without any antiviral treatment (58 patients). The primary end point was the negative conversion time of nucleic acid of 2019 novel coronavirus (2019-nCoV) by pharyngeal swab. Results: The baseline parameters of 4 groups before treatment was comparable. The negative conversion time of viral nucleic acid was (10.20±3.49), (10.11±4.68), (10.86±4.74), (8.44±3.51) days in LPV/r group, arbidol group, combination group, and supportive care group respectively (F=2.556, P=0.058). There was also no significant difference in negative conversion rate of 2019-nCoV nucleic acid, the improvement of clinical symptoms, and the improvement of pulmonary infections by CT scan (P>0.05). However, a statistically significant difference was found in the changing rates from mild/moderate to severe/critical type at day 7 (χ(2)=9.311, P=0.017), which were 24%(6/25) in combination group, 16.7%(6/36) in arbidol group, 5.4%(3/56) in LPV/r group and 5.2%(3/58) in supportive care group. Moreover, the incidence of adverse reactions in three antiviral groups was significantly higher than that in supportive care group (χ(2)=14.875, P=0.002). Conclusions: Antiviral treatment including LPV/r or arbidol or combination does not shorten the negative conversion time of 2019-nCoV nucleic acid nor improve clinical symptoms. Moreover, these antiviral drugs cause more adverse reactions which should be paid careful attention during the treatment.


Subject(s)
COVID-19 , HIV Infections , COVID-19/drug therapy , HIV Infections/drug therapy , Humans , Indoles , Lopinavir/adverse effects , Retrospective Studies , Ritonavir/adverse effects , SARS-CoV-2
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