The Future of Big Data: Innovative Methodological Approaches

Association of Nurse Staffing With Nosocomial Infections of Very Low-Birth-Weight Infants

Prior studies have reported inconsistent findings regarding the relationship between nurse staffing and nosocomial infections in very low-birth-weight (VLBW) infants. Little is known about whether similar associations occur in Korea. The purpose of this study was to identify the nurse staffing of neonatal intensive care units (NICUs) in Korea and to verify the association between nurse staffing and nosocomial infections among VLBW infants in NICUs. We selected 4654 VLBW infants admitted to 52 hospitals. Nosocomial infections were defined as incidence of bloodstream infection, urinary tract infection (UTI), or rotavirus infection. The average number of NICU patients per nurse was 4.51(minimum-maximum: 2.38-8.16). Hospitals with a higher number of patients per nurse exhibited a significant increased UTI rate (P = .005) and rotavirus infection rate (P = .025) in the univariate analysis. After adjusting for all patient and hospital characteristics, UTI significantly increased with increasing number of patients per nurse (odds ratio [OR] = 1.79; 95% confidence interval, 1.29-2.47), while bloodstream infection (OR = 0.93; 95% confidence interval, 0.79-1.09) and rotavirus infection (OR = 1.14; 95% confidence interval, 0.92-1.41) were not significant. These findings revealed that a nurse staffing in NICUs is an important factor for preventing UTI among VLBW infants.

"Everybody Puts Their Whole Life on Facebook": Identity Management and the Online Social Networks of LGBTQ Youth

Lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth and young adults almost inevitably “come out”, or self-disclose their identity to others. Some LGBTQ youth are more uniformly “out”, while others may disclose to some groups but not others. This selective disclosure is complicated on real name social media sites, which tend to encourage a unified presentation of self across social contexts. We explore these complications with a cohort of LBGTQ youth on Facebook (N = 199, M_age = 24.13). Herein we ask: How do LBGTQ youth manage the disclosure of their sexual orientation and/or gender identity to different people in their lives? Further, are there identifiable differences in the online social network structure for LGBTQ youth who manage outness in different ways? Finally, how do LGBTQ young people describe their experiences on Facebook? We answer these questions using a mixed methods approach, combining statistical cluster analysis, network visualization, and qualitative data. Our findings illustrate patterns in network structure by outness cluster type, highlighting both the work involved in managing one’s online identity as well as the costs to (semi-) closeted individuals including a considerably lower overall network connectivity. In particular, outness to family characterized LGBTQ young people’s experiences on Facebook.

Identity, Victimization, and Support: Facebook Experiences and Mental Health Among LGBTQ Youth

The rise of social networking sites (SNSs) has created new contexts within which lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth and young adults manage their social identities and relationships. On one hand, SNSs provide important social support; on the other, they comprise another realm for victimization and discrimination. Context collapse refers to the ways diverse subgroups (e.g., family, co-workers) are often united in Facebook networks, which presents unique challenges related to outness. In this study, we examine the Facebook contexts of a cohort of LGBTQ youth and young adults with regard to outness, victimization, social support, and psychological distress by first examining descriptive statistics and correlations, and then testing a series of multiple regressions in an analytic sample of 175 (M_age = 24.02 years) LGBTQ youth. Participants reported levels of daily Facebook use comparable to other samples of non-LGBTQ youth; however, they reported greater use of security controls, which may function as a tool for managing outness. Participants reported slightly lower outness across relational subgroups on Facebook, and associations between outness to relational subgroups were slightly stronger on Facebook, illustrating the potential impact of context collapse. Regression results showed that great victimization, cyberbullying, and the offering of support online were positively associated with psychological distress. Study findings illuminate how LGBTQ youth use and manage their identities on Facebook and highlight the importance of online contexts in shaping wellbeing for LGBtQ outh and young adults.

The Need for a Definition of Big Data for Nursing Science: A Case Study of Disaster Preparedness

The rapid development of technology has made enormous volumes of data available and achievable anytime and anywhere around the world. Data scientists call this change a data era and have introduced the term "Big Data", which has drawn the attention of nursing scholars. Nevertheless, the concept of Big Data is quite fuzzy and there is no agreement on its definition among researchers of different disciplines. Without a clear consensus on this issue, nursing scholars who are relatively new to the concept may consider Big Data to be merely a dataset of a bigger size. Having a suitable definition for nurse researchers in their context of research and practice is essential for the advancement of nursing research. In view of the need for a better understanding on what Big Data is, the aim in this paper is to explore and discuss the concept. Furthermore, an example of a Big Data research study on disaster nursing preparedness involving six million patient records is used for discussion. The example demonstrates that a Big Data analysis can be conducted from many more perspectives than would be possible in traditional sampling, and is superior to traditional sampling. Experience gained from the process of using Big Data in this study will shed light on future opportunities for conducting evidence-based nursing research to achieve competence in disaster nursing.