Telehealth care and remote monitoring strategies in heart failure patients: A systematic review and meta-analysis.

BACKGROUND: Heart failure (HF) is a cardiac clinical syndrome that involves complex pathological aetiologies. It represents a growing public health issue and affects a significant number of people worldwide. OBJECTIVES: To synthesize evidence related to the impact of telemonitoring strategies on mortality and hospital readmissions of heart failure patients. METHODS: A systematic literature review was conducted using PubMed, Scopus, CINAHL, IEEE Xplore Digital Library, Engineering Source, and INSPEC. To be included, studies had to be in English or Italian and involve heart failure patients of any NYHA class, receiving care through any telecare, remote monitoring, telemonitoring, or telehealth programmes. Articles had to contain data on both mortality and number of patients who underwent rehospitalizations during follow-ups. To explore the effectiveness of telemonitoring strategies in reducing both one-year all-cause mortality and one-year rehospitalizations, studies were synthesized through meta-analyses, while those excluded from meta-analyses were summarized narratively. RESULTS: Sixty-one studies were included in the review. Narrative synthesis of data suggests a trend towards a reduction in deaths among monitored patients, but the number of rehospitalized patients was higher in this group. Meta-analysis of studies reporting one-year all-cause mortality outlined the protective power of care models based on telemonitoring in reducing one-year all-cause mortality. Meta-analysis of studies reporting the number of rehospitalized patients in one-year outlined that telemonitoring is effective in reducing the number of rehospitalized patients when compared with usual care strategies. CONCLUSION: Evidence from this review confirms the benefits of telemonitoring in reducing mortality and rehospitalizations of HF patients. Further research is needed to reduce the heterogeneity of the studies.

Nursing Diagnosis Accuracy in Nursing Education: Clinical Decision Support System Compared With Paper-Based Documentation-A Before and After Study.

Computer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. This current investigation is aimed at comparing the nursing diagnostic accuracy, satisfaction, and usability of a computerized system versus a traditional paper-based approach. A total of 66 nursing students solved three validated clinical scenarios using the NANDA-International terminologies traditional paper-based approach and then the computer-based Clinical Decision Support System. Study findings indicated a significantly higher nursing diagnostic accuracy ( P < .001) in solving cancer and stroke clinical scenarios, whereas there was no significant difference in acute myocardial infarction scenario. The use of the electronic system increased the number of correct diagnostic indicators ( P < .05); however, the level of students' satisfaction was similar. The usability scores highlighted the need to make the electronic documentation systems more user-friendly.

Impact of standardized nursing terminologies on patient and organizational outcomes: A systematic review and meta-analysis.

AIMS: To explore the impact of 12 American Nurses Association recognized standardized nursing terminologies (SNTs) on patient and organizational outcomes. BACKGROUND: Previous studies reported an effect of SNTs on outcomes, but no previous frameworks nor meta-analyses were found. DESIGN: Systematic review and meta-analyses. REVIEW METHODS: PubMed, Scopus, CINAHL, and OpenGrey databases were last consulted in July 2021. All abstracts and full texts were screened independently by two researchers. The review included primary quantitative studies that reported an association between recognized SNTs and outcomes. Two reviewers independently assessed the risk of bias and certainty of evidence for each meta-analyzed outcome using the "Grading of Recommendations, Assessment, Development and Evaluation" (GRADE) approach. RESULTS: Fifty-three reports were included. NANDA-NIC-NOC and Omaha System were the most frequently reported SNTs used in the studies. Risk of bias in randomized controlled trials and not-randomized controlled trials ranged from high to unclear, this risk was low in cross-sectional studies. The number of nursing diagnoses NANDA-I moderately correlated with the intensive care unit length of stay (r = 0.38; 95% CI = 0.31-0.44). Using the Omaha System nurse-led transitional care program showed a large increase in both knowledge (d = 1.21; 95% CI = 0.97-1.44) and self-efficacy (d = 1.23; 95% CI = 0.97-1.48), while a reduction on the readmission rate (OR = 0.46; 95% CI = 0.09-0.83). Nursing diagnoses were found to be useful predictors for organizational (length of stay) and patients' outcomes (mortality, quality of life). The GRADE indicated that the certainty of evidence was rated from very low to low. CONCLUSIONS: Studies using SNTs demonstrated significant improvement and prediction power in several patients' and organizational outcomes. Further high-quality research is required to increase the certainty of evidence of these relationships. CLINICAL RELEVANCE: SNTs should be considered by healthcare policymakers to improve nursing care and as essential reporting data about patient's nursing complexity to guide reimbursement criteria.

Dose-Response Relationship between High-Fidelity Simulation and Intensive Care Nursing Students' Learning Outcomes: An Italian Multimethod Study.

Background: The best application modality of high-fidelity simulation in graduate critical care nursing courses is still rarely investigated in nursing research. This is an important issue since advanced nursing skills are necessary to effectively respond to critically ill patients' care needs. The aim of the study was to examine the influence of a modified teaching model based on multiple exposures to high-fidelity simulations on both the learning outcomes and the perceptions of graduate students enrolled in a critical care nursing course. Methods: A multimethod study involving a sample of graduate critical care nursing students was conducted. A theoretical teaching model focused on multiple exposures to high-fidelity simulations is currently applied as a teaching method in an Italian critical care nursing course. According to the Kirkpatrick model for evaluating training programs, the performance, self-efficacy, and self-confidence in managing critically ill patients were considered learning outcomes, while satisfaction with learning and students' lived experiences during the experimental phases were considered students' perceptions. Results: Multiple exposures to high-fidelity simulations significantly improved performance, self-efficacy, and self-confidence in managing virtual critically ill patients' care needs. The satisfaction level was high, while lived experiences of participants were positive and allowed for better explanation of quantitative results of this study. Conclusions: Multiple exposures to high-fidelity simulations can be considered a valuable teaching method that can improve the learning outcomes of graduate nurses enrolled in an intensive care course.

The lived experiences of intensive care nursing students exposed to a new model of high-fidelity simulation training: a phenomenological study.

BACKGROUND: In postgraduate intensive care nursing courses, high-fidelity simulation is useful to prepare students to guarantee safe and quality care of critically ill patients. Surprisingly, this issue has not attracted sufficient attention in the literature, and it is not clear whether the linear application of the traditional high-fidelity simulation method based on prebriefing, the simulation session and debriefing, can serve as empirical reference in postgraduate students' education. The aim of this study was to investigate the lived experiences of postgraduate students receiving multiple exposures to an innovative high-fidelity simulation design based on Kolb's Experiential Learning Theory. METHODS: A phenomenological study was conducted at an Italian University involving a purposive sample of 15 nursing students attending the postgraduate intensive care course. Audio-recorded face-to-face in-depth interviews were held by a researcher in a dedicated room complemented with non-verbal communication outlined in the field notes. Thematic analysis was used to analyse the transcribed data. RESULTS: Three themes and ten categories were derived from the data analysis. The themes included pragmatic learning experience, the emotional path, and confidence. CONCLUSIONS: Multiple exposure to high-fidelity simulation was lived as a pragmatic learning experience enhancing the students' ability to apply theory into practice. This novel approach also contributed to the transition from negative to positive feelings and improved students' confidence about technical and non-technical skills when caring for a critically ill patient.

NANDA-I, NIC, and NOC taxonomies, patients' satisfaction, and nurses' perception of the work environment: an Italian cross-sectional pilot study.

BACKGROUND AND AIM OF THE WORK: Structured nursing care planning, patients' satisfaction with care, nurses' job satisfaction, and the characteristics of the work environment may influence each other and impact on the quality of hospital care. This study aimed at investigating the differences in nurses' perception of the work environment and patients' satisfaction with care, between two groups of hospital wards that used NANDA-I, NIC, and NOC taxonomies or not in the daily practice. METHODS: A pilot cross-sectional study was conducted involving nurses employed in eight wards of a teaching hospital in central Italy and patients hospitalized in these wards. The 'Nursing Work Index Revised' and the 'Patient Satisfaction Scale' were used to investigate nurses' perception of the work environment and patients' satisfaction with care, respectively. RESULTS: Significant better perceptions of both the constructs were highlighted in those wards that used nursing taxonomies. CONCLUSIONS: The application of a healthcare model based on the nursing process methodology should be empowered in the hospital settings, since it can influence the quality of the environment and patients' satisfaction with care.