Leadership Behaviors of Frontline Nurse Managers: A Mixed-Methods Research Study Identifying Essential Areas for Social Support.

OBJECTIVE: This study examined how frontline nurse managers (FLNMs) perceive and experience formal and informal social support and how personal factors and social support relate to their transformational leadership (TL) behaviors. BACKGROUND: Ineffective leadership by FLNMs is associated with costly outcomes. Evidence suggests that leadership development is a function of personal and social factors; however, a better understanding of this process is needed. METHODS: A convergent mixed-methods design was used. The quantitative strand included a cross-sectional survey in a sample of FLNMs. The qualitative strand used a semistructured interview and a descriptive qualitative approach with a subset of this sample. RESULTS: Formal and informal social support is positively related to the TL behaviors of FLNMs as evidenced by the convergent data. The influence of family members in the work-related decisions of FLNMs has been underreported in the literature and is an area for consideration in supporting retention and desired leadership behaviors. CONCLUSION: The findings of this study imply a need for organizations to establish systems that endorse the growth of FLNMS, create opportunities for career advancement, and integrate members of the FLNMs' personal support systems into recognition initiatives.

Factors Influencing Medication Administration Outcomes Among New Graduate Nurses Using Bar Code-Assisted Medication Administration.

Paramount to patient safety is the ability for nurses to make clinical decisions free from human error. Yet, the dynamic clinical environment in which nurses work is characterized by uncertainty, urgency, and high consequence, necessitating that nurses make quick and critical decisions. The aim of this study was to examine the influence of human and environmental factors on the decision to administer among new graduate nurses in response to alert generation during bar code-assisted medication administration. The design for this study was a descriptive, longitudinal, observational cohort design using EHR audit log and administrative data. The study was set at a large, urban medical center in the United States and included 132 new graduate nurses who worked on adult, inpatient units. Research variables included human and environmental factors. Data analysis included descriptive and inferential analyses. This study found that participants continued with administration of a medication in 90.75% of alert encounters. When considering the response to an alert, residency cohort, alert category, and previous exposure variables were associated with the decision to proceed with administration. It is important to continue to study factors that influence nurses' decision-making, particularly during the process of medication administration, to improve patient safety and outcomes.

An Innovative Use of the Logic Model for a Qualitative Analysis Framework.

BACKGROUND: Qualitative analysis can be a daunting and time-consuming task for those who are attempting to code qualitative data for the first time. METHOD: This article presents select secondary data analysis from a previously published study to demonstrate the applicability and usefulness of implementing a logic model approach to provide a framework for qualitative analysis. RESULTS: The use of the logic model provided systematic organization during the analysis process, efficiency for analytical tasks, and enhanced trustworthiness by documenting each analysis step. The model allowed for easier visualization of data that facilitated a richer and more focused analysis. CONCLUSION: With qualitative data that are focused on processes or outcomes, implementing a logic model framework to categorize and organize data can be useful and efficient, particularly for a novice analyst whether analyzing qualitative text for quality improvement, evidence-based practice, program evaluation, or formal research. [J Contin Educ Nurs. 2024;55(6):297-301.].

Modifiable factors contributing to belongingness of undergraduate nursing students in the clinical learning environment: An exploratory study.

BACKGROUND: Belongingness has been tied to positive personal and educational outcomes in undergraduate nursing students in the clinical learning environment, but there is limited literature on specific factors that promote these important feelings of acceptance and value alignment. OBJECTIVES: This study aimed to assess demographic characteristics, program/clinical structure factors, and modifiable clinical setting factors that may impact feelings of belongingness in U.S. undergraduate nursing students in the clinical learning environment. DESIGN: A cross-sectional survey design was used to assess the relationship between demographics, program/clinical structure factors, and modifiable clinical setting factors and levels of belongingness using the U.S. version of the Belongingness Scale - Clinical Placement Experience. SETTING: A national study was conducted via the National Student Nurses Association database from December 2022 to January 2023. PARTICIPANTS: 759 volunteer undergraduate nursing students in the U.S. who had completed at least one clinical course. METHODS: An online survey was disseminated to assess demographic factors, program/clinical structure factors, students' perceptions on the frequency of occurrence and perceived value of modifiable clinical setting factors (including clinical format, clinical site, relationship and interpersonal, and miscellaneous factors), and to measure levels of belongingness experienced. RESULTS: Bivariate analyses revealed one statistically significant program/clinical structure factor (p <.001) and 10 statistically significant modifiable clinical setting factors (p <.001) that contribute to belongingness. The findings also support the use of the U.S. version of the BES-CPE as a reliable and valid instrument. CONCLUSIONS: Results demonstrate the importance of fostering belongingness in undergraduate nursing students in the clinical learning environment and, for the first time, extrapolate qualitative findings from the literature into the identification of factors that contribute to these critical feelings of inclusion. There are immediate implications for nursing educators and a rich foundation for future intervention research is proposed.