Health-care providers should develop specific interventions early in the disease process to increase ADs in this population.

Level II, systematic review of Level I and II studies.

The purpose of this integrative review is to synthesize recent literature that used NANDA International diagnoses, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC) to determine the effectiveness of nursing interventions and cost-analysis and to identify the direction for future effectiveness research using standardized nursing terminologies (SNTs). A search was performed using the Cumulative Index to Nursing and Allied Health Literature, Scopus, and KoreaMed, covering the period from 2003 to 2018. A total 267 articles were identified, and 24 articles were analyzed for this review. Eighteen studies evaluated the effectiveness of nursing interventions based on outcomes, and of those 18 studies, four examined the effectiveness based on the development of NNN linkages. Six studies analyzed the cost of nursing interventions. Integrating SNTs into electronic health records (EHRs), developing NNN linkages, and further effectiveness studies using SNTs are required to determine the value of nursing care to improve patient outcomes.

To maintain their quality of life and avoid hospitalization and early mortality, patients with heart failure must recognize and respond to symptoms of exacerbation. A promising method for engaging patients in their self‐care is through mobile health applications (mHealth apps). However, for mHealth to have its greatest chance for improving patient outcomes, the app content must be readable, provide useful functions and be based in evidence. The study aimed to determine: (1) readability, (2) types of functions, and (3) linkage to authoritative sources of evidence for self‐care focused mHealth apps targeting heart failure patients that are available in the Apple and Google Play Stores. We systematically searched for mHealth apps targeting patients with heart failure in the Apple and Google Play Stores and applied selection criteria. Readability of randomly selected informational paragraphs were determined using Flesch–Kincaid grade level test tool in Microsoft Word. Ten mHealth apps met our criteria. Only one had a reading grade level at or below the recommended 6th grade reading level (average 9.35). The most common functions were tracking, clinical data feedback, and non‐data‐based reminders and alerts. Only three had statements that clearly linked the mHealth app content to trustworthy, evidence‐based sources. Only two had interoperability with the electronic health record and only one had a communication feature with clinicians. Future mHealth designs that are tailored to patients’ literacy level and have advanced functions may hold greater potential for improving patient outcomes.

Purpose: This was a correlational study to identify effects of perception of clinical ladder system on job satisfaction and intention to leave in perioperative nurses. Methods: Participants were 154 of perioperative nurses from larger general hospitals in Seoul. Data were collected from April, 16 to 22, 2013 using self-report questionnaires which included items on perception of clinical ladder system, job satisfaction, and intention to leave. Data were analyzed using frequency, t-test, ANOVA, Scheffé test, Pearson correlation coefficients, and multiple stepwise regression. Results: The average mean score for perception of clinical ladder system was midline at 2.69 point out of 4 point. Perception of clinical ladder system correlated positively with job satisfaction (r=.38, p<.01) and negatively with intention to leave (r=-.88, p<.01). Perception of clinical ladder system was the factor which most influenced job satisfaction explaining 17.1% of the variance, also perception of clinical ladder system was the factor which most influenced intention to leave, explaining 12.7% of the variance. Conclusion: Results of this study suggest that there is a need to enhance the perception of the clinical ladder system and to find ways to fulfill the expected effects for improving perioperative nurses' job satisfaction and reducing the intention to leave.