Purpose: The purpose of the study was to identify the core nursing diagnoses, interventions, outcomes, and linkages using standardized nursing terminologies for patients with heart failure (HF). Methods: For this study a retrospective descriptive design was used. The frequently used NANDA-I, NIC, NOC, and NNN linkages were identified through 272 inpatient records of patients discharged with HF in a midwestern community. Findings: The findings indicate that the top 10 NANDA-I, NIC, and NOC accounted for more than 50% of nursing diagnoses, interventions, and outcomes. The most frequently used top 10 NNN linkages were identified for patients with HF. Conclusion and Practice Implications: The identified core NANDA-I, NIC, NOC, and NNN linkages for HF from this study provide scope of practice of nurses working in HF clinics.

Background: This study investigated college students’ eMental health literacy (eMHL), knowledge of common mental disorders and risk of being diagnosed with a mental health disorder and compared their knowledge of mental disorders and concurrent risk of diagnosis with high and low eMHL; Method: A total of 123 college students completed an online survey through Amazon’s Mechanical Turk (MTurk). Data were analyzed using descriptive statistics and chi-square tests; Results: eMental health literacy scores were higher when students had a history of prior mental health problems, were female, and graduate students. College students with high eMHL were more likely to recognize symptoms, recommend professional help, and be at lower risk for common mental health disorders compared to low eMHL students; Conclusions: eMHL was associated with mental health status and demographic variables. Level of eMHL was associated with knowledge of mental disorders and risk of diagnosis. Implications: The results highlight the need for targeted interventions to enhance eMHL of college students, support mental health resilience and prevent mental health disorders.

Purpose: The purpose of the study was to identify key nursing diagnoses with related factors and signs/symptoms using NANDA-I for patients with heart failure (HF). Methods: A retrospective descriptive design was used to address the research questions. Data were obtained from the records of patients discharged for 1 year with the medical diagnoses of HF from a Midwestern community hospital. A total of 272 inpatient records were analyzed to describe the frequency and percentage of NANDA-I diagnosis with related factors and signs/symptoms. Results: The top 10 NANDA-I diagnoses associated with related factors and signs/symptoms were identified. Conclusion: Further research related to standardized nursing terminologies such as NANDA-I using large clinical databases from health information systems is needed to support evidence-based nursing diagnosis decision making.