Introduction On the world stage unlimited internet access by smartphones have made in social, cultural and economic relations, has transformed the world to be faster and more efficient. In this context, health care requires more attention. Health professionals must be concerned about the majority of the patient’s care on the use of smartphone’s in this process. Smartphones can be cause distractions and cause poor patient care. Behavioral and psychological changes related to abusive and uncontrolled use in this population may create severe impacts not only on the user’s life but also on the community health care. Method A careful research was performed through PubMed, Web of Science and Psycho Info databases using the terms: “Smartphone addiction”, “Smartphone dependence”, “Smartphone abuse”, “physicians”, “nurses” and ‘‘health professionals”. The search covered the past 5 years up to August 2019. Articles that examine abusive use on smartphones in health professionals were included. We analyzed how this concept evolved over the last five years and hope to contribute to the better understanding of the issue and its impacts on this population and on the health care. Results There is a lack of specific trial instruments on screening of smartphone addiction or abusive use, tending to adopt different diagnostic criteria by the reports included. There are also a lack of studies discussing etiology of this compulsive behavior. Although known risks, published reports show there is no consciousness of abusive use and possible damages in healthcare by some health professionals. Instead, there are others that can affirm there are unpredictable risks in patient care and tend to stimulate conscience use politics in health settings. Most of them point out smartphone’s app benefits. Conclusion Smartphones and its functionalities became part of everyone's life by the various benefits guaranteed. However, an addictive behavior can cause damage, principally in the Health Care setting and health professional’s abusive use must be monitored. Further investigation is needed to determine the motivations of this addictive behavior and if abusive smartphone usage is a new psychiatric classification or merely the substrate of other disorders.
Background information:Due to the expansion of the new Coronavirus (COVID-19), many countries have adopted social isolation as a preventive measure to contain the disease. Staying at home led to the adaptation of many professional activities to work at home (Home Office) in order to make possible the continuity and creation of new work systems, but it also affected the routine of the home and the way of working, allowing substantial changes in people's behavior, justifying this study.Objective: To validate the scale for assessing the impact on human behavior in working conditions in the Home Office due to social isolation.Method: Data collection was done online, using a specific computational tool (google forms) for this type of research. The initial sample was 1083 volunteers. After collection, a database was created for statistical analysis of the data and validation of the instrument. Two statistical criteria were used, the Factor Loads of the Main Components and the Screeplot. Results:The statistics confirmed suitability for the elaboration of the factor analysis based on the results of KMO (Kaiser-Meyer-Olkin) and Bartlett. The Screeplot statistical criterion pointed to the existence of 3 factors. The internal consistency of the scale showed a positive result of 0.7477536 by the GLB Algebric coefficient (Greatest Lower Bound), for questionnaires applied for the first time. Conclusion:The Home Office Work Scale (HOWS) scale was validated to be applied in situations where people are in the work situation in the Home Office in social isolation. The limitations found for applying the scale did not compromise the results
Objective: Describe objectively the possibilities of physical and psychological impacts due to working conditions in the home office during social isolation by COVID-19.Method: Literature review in the last ten years addressing the unprecedented condition of working at home office in social isolation. Results:The findings showed that physical impacts such as vision problems and functional limitations can occur. Loneliness due to lack of face-to-face contact with other people can develop anxiety, depression and binge eating. Conclusion:The home office in social isolation can provide physical and psychological impacts due to the conditions of the homework environment
Humanity is sporadically subjected to leaders with deviant behavior, ego problems, or psychiatric disorders, potentially leading to social instability. Bipolar disorder is not common in all populations, but, coincidentally, studies suggest that it affected two sovereigns that were contemporaries, King George III of England, who died 201 years ago, and Queen Maria I of Portugal, who died 205 years ago. They lived during a time when Europe was in turmoil with the French Revolution and Napoleonic Wars, which also coincided with the rise of psychiatry. Both monarchs were forced to have prince regents rule in their place, due to their emotional decline, and they shared the same medical consultant, Francis Willis.
Introduction: With the evolution of technologies, new digital resources have emerged establishing different practices in human behavior, including the excessive use of digital devices, causing different dependencies due to the nonconscious use of these technologies. The digital use of digital devices will always be very important to the organizational process, but the abusive or excessive use can bring performance problems at work and also for people. Collective environments of organizations also begin to show “symptoms” of these dependencies, and observing these behaviors can contribute to greater employees comfort and the functioning of the business organization. Objective: To identify the level of digital dependency of employees in organizational environments and to investigate this dependency associated with demographic characteristics. Method: Data collection took place online, from 11.05.2019 to 03.05.2020, with a sample totaling 307 volunteers and 13 questionnaires excluded due to filling error, ending with 294 valid questionnaires. A validated scale was used to Assess Digital Employee Dependence (EDDE), with 19 questions (Annex 1) and inserted in the Google Forms platform, widely used for data collection in surveys. After the collection procedure, a database was created for statistical analysis and discussion of the results. Results: Factor Analysis identified 4 factors using the Kaiser Method, via Scree Plot and 19 questions were maintained, according to previous applications of this questionnaire. The sample presented itself without digital dependence (42.2%) or with mild dependence (30.3%). Only women had a severe level of digital dependence, but with low significance (1.7%). Conclusion: The severe digital dependency had a very low score, while the sum of volunteers without dependence with a mild level characterizes a sample without relevant digital dependence. Women showed a higher level of digital dependence although more research needs to confirm this sign. The limitations found for applying the research did not compromise the results.
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