Browsing by Subject "nurse"

Now showing 1 - 3 of 3
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    Coincidence Analysis: A Novel Approach to Modeling Nurses' Workplace Experience
    (Thieme, 2022-08) Womack, Dana M.; Miech, Edward J.; Fox, Nicholas J.; Silvey, Linus C.; Somerville, Anna M.; Eldredge, Deborah H.; Steege, Linsey M.; School of Nursing
    Objectives  The purpose of this study is to identify combinations of workplace conditions that uniquely differentiate high, medium, and low registered nurse (RN) ratings of appropriateness of patient assignment during daytime intensive care unit (ICU) work shifts. Methods  A collective case study design and coincidence analysis were employed to identify combinations of workplace conditions that link directly to high, medium, and low RN perception of appropriateness of patient assignment at a mid-shift time point. RN members of the study team hypothesized a set of 55 workplace conditions as potential difference makers through the application of theoretical and empirical knowledge. Conditions were derived from data exported from electronic systems commonly used in nursing care. Results  Analysis of 64 cases (25 high, 24 medium, and 15 low) produced three models, one for each level of the outcome. Each model contained multiple pathways to the same outcome. The model for “high” appropriateness was the simplest model with two paths to the outcome and a shared condition across pathways. The first path comprised of the absence of overtime and a before-noon patient discharge or transfer, and the second path comprised of the absence of overtime and RN assignment to a single ICU patient. Conclusion  Specific combinations of workplace conditions uniquely distinguish RN perception of appropriateness of patient assignment at a mid-shift time point, and these difference-making conditions provide a foundation for enhanced observability of nurses' work experience during hospital work shifts. This study illuminates the complexity of assessing nursing work system status by revealing that multiple paths, comprised of multiple conditions, can lead to the same outcome. Operational decision support tools may best reflect the complex adaptive nature of the work systems they intend to support by utilizing methods that accommodate both causal complexity and equifinality.
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    Communication Between Registered Nurses and Family Members of Intensive Care Unit Patients
    (AACN, 2022-12-01) Dees, Mandy L.; Carpenter, Janet S.; Hoffman-Longtin, Krista; School of Nursing
    Background Effective communication between intensive care unit patients and their families and nurses promotes relationship-centered care and improves nurses’ ability to meet patient and family needs. However, communication with these patients is challenging because of their critical illness. Families often become surrogate decision makers for adult intensive care unit patients. Objective To systematically assess available evidence on communication between adult intensive care unit patients and their families and nurses as the initial step in developing nursing strategies to strengthen communication skills. Methods In this integrative review, the method of Whittemore and Knafl was used to synthesize findings from qualitative and quantitative (descriptive and experimental) research. Results The review revealed a variety of research designs, measurement tools, and types of interventions. The qualitative findings suggest that nurses can strengthen relationship-centered care by regularly updating patients’ families and providing information that can assist with decision-making. The quantitative findings suggest that nurses should be mindful of family members’ needs for assurance, comfort, and support. Providing information on patient status can help alleviate family concerns. Conclusions Improved communication between patients and families and intensive care unit nurses is essential to strengthen relationship-centered care. Additional research is needed to better understand the communication needs of adult patients and their families in the intensive care unit.
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    Using HCAHPS data to model correlates of medication understanding at hospital discharge
    (Dove Medical Press, 2017-02) Bartlett Ellis, Rebecca J.; Werskey, Karen L.; Stangland, Rachel M.; Ofner, Susan; Bakoyannis, Giorgos; School of Nursing
    Background: Hospitals are challenged to improve hospital transitions to home and are held accountable through public reporting. Design: This cross-sectional study used patients’ self-reported experience data from the publicly reported Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey to describe correlates of medication understanding at hospital discharge, using data collected from adult patients discharged from one Midwestern community hospital (N=154). Results: The final logistic regression model included four correlates of medication understanding: 1) nurse always communicates well, 2) physician always communicates well, 3) new prescriptions during hospital stay, and 4) very good or better mental health, and these classified 72.6% of the cases. Significant correlates of the patient strongly agreeing that they understood discharge medications were the “nurse always communicates well” (odds ratio =3.10, 95% confidence interval: 1.25, 7.66) and “very good or better self-perceived mental health” (odds ratio =2.17, 95% confidence interval: 1.02, 4.64). Conclusion: HCAHPS data can be used to model correlates of medication understanding, which are then useful for evaluating intervention effects following quality improvement.