Clinical Nursing Research

The aim of this study was to explore the challenges of nursing handover process during shift rotation in hospitals. The research had a descriptive exploratory design with a qualitative content analysis approach. To conduct the study, three pediatric wards were selected at first. Data were gathered through a 4-month observation of nursing handovers by recording the oral conversations of nurses during the process and semistructured interviews. Then, qualitative content analysis was used for data analysis. Two major themes and five subthemes emerged through the data analysis. The first and the second themes were a nonholistic approach and poor management, respectively. In general, applying a holistic approach and managing handover situations are recommended for nursing managers to overcome handover challenges. Future focus could be on addressing handover challenges through an action research study.

The purpose of this study was to evaluate the effects of family-involved care on caregivers’ self-efficacy, the degree of satisfaction with central-line care, and the occurrence of central-line-associated bloodstream infections (CLABSIs). We adopted a pretest–posttest quasi-experimental design, recruiting 62 participants from 2009 to 2010. Family caregivers in the experimental group received instructional guidance before collaboratively participating in patient care, whereas the control group received routine care. Our results indicated that in both groups, the overall posttest scores for self-efficacy were significantly higher than the pretest scores. The score for the question “When the patient moves around, how confident are you with ensuring catheter safety?” was significantly higher in the experimental group than in the control group. Satisfaction with the provision of central-line care was also significantly higher in the experimental group than in the control group. CLABSIs did not occur in either group of patients.

The purpose of this study was to identify predictors of falls that result in serious injury in hospitalized patients. The study involved secondary data analysis of 1,438 patient falls in a community hospital system between 2008 and 2010. The analysis included demographics, severity of illness, diagnosis-related group (surgical vs. medical), event type (bathroom, bed, chair, transfer, ambulating), risk factors identified by the Hendrich II fall risk assessment prior to the fall (confusion, depression, altered elimination, dizziness, antiepileptic or benzodiazepine medications), and contributing factors identified through an online event reporting system post-fall (incontinence, confusion, history of falls, alteration in mobility, and medication-related). Logistic regression results indicated that the overall model was a good fit and two predictors, age greater than 64 and male gender, were statistically reliable in predicting which patient falls would result in serious injury.

This retrospective, descriptive, chart review study was done to demonstrate one strategy for communicating aggregated and actionable fall data to bedside nurses. It was conducted at a nonprofit acute care hospital in the northwestern United States to analyze the quantitative data captured in post-fall audit reports of patient falls (March 1-December 31, 2012, N = 107 falls). Descriptive and binary statistical analyses were used. The quarterly National Database of Nursing Quality Indicators 2011 and 2012 reports showed that implementation of post-fall audit reports can lead to a lower overall fall rate and a lower fall-injury rate. Increased nursing hours could be a confounding factor of the positive impact of conducting post-fall audits in this study. It is concluded that timely and systematic reporting, analysis, and interpretation of fall data in an electronic format can facilitate prevention of falls and fall injuries.

Our goal was to reduce the number of modifiable risk factors for cardiovascular disease (CVD) through providing lifestyle adjustment training and counseling to patients with type 2 diabetes. In this pre–post intervention study, 139 patients with diabetes were provided with training to reduce the modifiable risks of CVD. One hundred three patients attended the post-training evaluation. Two phone counseling sessions were provided with 1-month intervals. Consumption of red meat and processed food decreased and water consumption, carrying on the recommended diet, and the frequency of exercise increased (p = .000), A1C decreased (p = .05), and the use of aspirin increased (p = .03). Thus, a contribution to the reduction of CVD risk factors in patients with type 2 diabetes was achieved. The training program for reducing CVD risk factors in patients with type 2 diabetes was effective in improving nutrition and lifestyle behaviors and decreasing glycemic control.

People living with HIV (PLWH) see their providers quarterly to go over their laboratory results and discuss problems with antiretroviral treatment (ART) regimens. Our purpose was to determine whether socially and economically marginalized PLWH were accurate in self-reporting their most recent CD4 count, viral load, and ART regimen, and whether demographic differences influenced self-reporting. We conducted a secondary data analysis based on results from (N = 200) PLWH. We found moderate agreement for CD4 count (k = .58), and viral load (k = .43), but only 43% were able to recall their ART regimens accurately. PLWH ≥ age 50 (k = .77) and those with health insurance coverage (k = .61) were more accurate to self-report CD4. Women were more accurate in reporting viral load than men (k = .53, p = .003 vs. k = .38). These findings suggest that PLWH need multiple modalities of education to relate CD4 counts, viral load, and ART regimens to their personal health understanding.