Introduction: Touch-screen mobile phones/devices (TMPs/Ds) are increasingly used in hospitals. They may act as a mobile reservoir for microbial pathogens. The rates of microbial contamination of TMPs/Ds and keypad mobile phones (KMPs) with respect to different variables including use by healthcare workers (HCWs)/non-HCWs and the demographic characteristics of users were investigated. Methodology: A total of 205 mobile phones/devices were screened for microbial contamination: 76 devices belonged to HCWs and 129 devices belonged to the non-HCW group. By rubbing swabs to front screen, back, keypad, and metallic surfaces of devices, 444 samples were collected. Results: Of 205 mobile phones/devices, 143 (97.9%) of the TMPs/Ds and 58 (98.3%) of the KMPs were positive for microbial contamination, and there were no significant differences in contamination rates between these groups, although TMPs/Ds had significantly higher microbial load than KMPs (p <0.05). The significant difference in this analysis was attributable to the screen size of mobile phones ≥ 5". Microbial contamination rates increased significantly as phone size increased (p <0.05). Higher numbers of coagulase-negative Staphylococci (CNS) were isolated from KMPs than TMPs/Ds (p = 0.049). The incidence of Enterococcus spp. was higher on the KMPs of HCWs, and methicillin resistant CNS was higher from the TMPs/Ds of non-HCWs (p <0.05). Isolation of CNS, Streptococcus spp. and Escherichia coli was higher from the TMPs/Ds of HCWs (p <0.05). Conclusions: We found no significant difference between TMP/Ds and KMPs in terms of microbial contamination, but TMP/Ds harboured more colonies and total microbial counts increased with screen size.
Although there are studies on the knowledge, attitudes, and practices of nurses working in the fields of elderly care, rehabilitation, and psychiatry in acute care units, there are no studies investigating intern nurses and other nursing students. However, intern nurses about to begin their careers should make accurate decisions regarding the use of physical restrains if they are to ensure patient safety and to fulfill this application effectively in their professional lives.
Background Coronary artery disease (CAD) is a primary cause of death worldwide. CAD negatively affects individuals because it reduces their functional skills and self-care abilities and disrupts quality of life. Purpose This study was designed to assess the impact of a training program based on Orem's self-care deficit nursing theory (SCDNT) on self-care abilities and quality of life in patients with CAD. Methods This study was conducted using a randomized, controlled, pretest/posttest experimental design. One hundred two patients with CAD were divided evenly into either the intervention or control group, with sample randomization based on gender, age, low-density lipoprotein cholesterol level, and Self-Care Agency Scale scores. For both groups, interviews were conducted in two sessions held, respectively, at the hospital and at home. Study data were collected using the patient information form, Self-Care Agency Scale, MacNew Heart Disease Health-Related Quality of Life Questionnaire (MacNew), Quality of Life Questionnaire (15D), and training booklet. Results A highly significant difference was found between the two groups in terms of the average posttest scores on the Self-Care Agency Scale, MacNew, and 15D. For the intervention group, the posttest scores on the Self-Care Agency Scale, MacNew, and 15D were significantly higher than the pretest scores, whereas average pretest and posttest scores on these measures were similar for the control group. Conclusions The training program developed in this study based on Orem's SCDNT improved self-care agency as well as disease-specific and overall quality of life in patients with CAD. Nurses should pay attention to the CAD-related educational level of patients when teaching them how to live with their disease. Moreover, nurses should use Orem's SCDNT to strengthen the self-care agency of these patients to increase quality of life and the effectiveness of related education efforts. Finally, medical institutions and governments should develop appropriate education policies for patients at risk of CAD and for those with CAD.
Introduction: This study was conducted in order to evaluate the adaptation control onVAP prevention bundle adaptationcontrol in terms of VAP speed, length of stay at hospital and adaptation of healthcare staff to bundle application. Method:The data of the study, which was conducted in cross sectional pattern on controlled and uncontrolled groups for ten months each, was gathered via Introductory Features Form, VAP Prevention Bundle Application List and VAP Prevention Bundle Control List. Gathered data was presented in numbers, percentages, averages and standard deviations. The data was analyzed via chi square test, Mann-Whitney U and Kruskal-Wallis tests.Results: It was found out that the length of stay at hospital for controlled group (X=11.41±12.29) is fairly shorter than of uncontrolled group (X=31.41±36.41); and it was also found out that, in comparison with the controlled group (4.7%) the VAP development rate is higher with the uncontrolled group (19.6%) and the difference in percentages is statistically meaningful. With the uncontrolled group the VAP speed is measured as 7.12 ventilator days while the time is 4.14 with the controlled group; and difference in time spent on mechanical ventilator is found to be statistically highly meaningful. In this study, it was found out that the adaptation rate of doctors and nurses working at ICUs to ventilator bundle are 69.89%. Conclusion:In accordance with the gathered data, it was determined that, controlled and uncontrolled groups have similar characteristics in terms of introductory features; although the adaptation rate with controlled group is lower than the average numbers in literature, while the VAP rate and speed is higher with the uncontrolled group, these numbers decrease to statistically meaningful levels with the controlled group. In our study it was observed that, in comparison with the uncontrolled group, the length of time spent at hospital and on mechanical ventilator is statistically shorter with the controlled group.
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