Exploring the nexus between the standardized nursing terminologies and the unfinished nursing care phenomenon: An empty systematic review.

PURPOSE: To identify and synthesize evidence regarding the documented relationship between the standardized nursing terminologies and the unfinished nursing care phenomenon. DATA SOURCES: A systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed, Scopus, and Cumulative Index to Nursing and Allied Health Literature Complete databases were last consulted on November 27, 2023. The review included primary quantitative studies that reported an association between recognized standardized nursing terminologies and unfinished nursing care. Two researchers completedtitle and abstract and full-text screening. DATA SYNTHESIS: Our search identified 149 citations. A full-text review of one paper was undertaken. No studies met our inclusion criteria. We report an empty review. CONCLUSIONS: Standardized nursing terminologies and Unfinished Care are two sides of the same coin: despite their potential commonalities, no studies have documented their potential links. Digital systems, such as electronic health records and decision support systems, could foster this linkage. IMPLICATIONS FOR NURSING PRACTICE: This review suggests that linking the conceptual frameworks can promote the diffusion of standardized nursing terminologies in clinical practice and increase accuracy in the measurement of Unfinished Care. This synergy could promote the contribution of nursing knowledge to patient care, nursing visibility, and be beneficial to clinical nurses, managers, and healthcare systems to international level.

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.

Identifying reliable predictors of protein-energy malnutrition in hospitalized frail older adults: A prospective longitudinal study.

BACKGROUND: Decreased food intake is a risk factor for relevant complications (e.g. infections, pressure ulcers), longer hospital stays, higher readmission rates, greater health care costs and increased patient mortality, particularly in frail hospitalized older adults who are malnourished or at risk of malnutrition. Nurses are called to improve this criticality, starting from accurately identifying malnourished patients at hospital admission and effectively monitoring their food intake. OBJECTIVES: The primary aim was to identify reliable predictive indicators of reduced food intake at hospital admission. The secondary aims were to assess the adequacy of daily energy and protein intake and the impact of nutrient intake on patient outcomes. DESIGN: Prospective observational longitudinal study. SETTING: Internal Medicine Ward of an Academic Teaching University Hospital. PARTICIPANTS: Acute older adults who were malnourished or at risk of malnutrition (Nutritional Risk Score-2002 ≥ 3, middle-upper arm circumference <23.5 cm or impaired self-feeding ability) at admission. METHODS: The effective energy and protein intake was monitored during the first 5 days of hospital stay by a photographic method and compared to the daily energy and protein requirement calculated by specific equations. Data on anthropometry, inflammation/malnutrition laboratory data and body composition (phase angle calculated using bioelectrical impedance analysis) were collected. RESULTS: Eighty-one subjects (age 81.5 ±â€¯11.5 years) were enrolled. Mean energy intake was 669.0 ±â€¯573.9 kcal/day, and mean protein intake was 30.7 ±â€¯25.8 g/day. Over 60% of patients ingested ≤50% of their calculated energy and protein requirements: these patients were older (p = 0.026), had a lower middle-upper arm circumference (p = 0.022) and total arm area (p = 0.038), a higher C-reactive protein/albumin ratio and Instant Nutritional Assessment score (p < 0.01), and experienced longer hospital stays (p ≤ 0.04) and higher in-hospital and 30-day post-discharge mortality (p < 0.001). In the multivariate analysis, lower middle-upper arm circumference, higher C-reactive protein/albumin ratio, and impaired self-feeding at admission were independently associated with critically reduced energy and protein intake. CONCLUSIONS: Middle-upper arm circumference, C-reactive protein/albumin ratio, and impaired self-feeding are easily obtainable indicators of impaired energy and protein intake and poor clinical outcomes. Such parameters should be adopted as screening criteria to assess the risk for critically reduced energy/protein intake in hospitalized older adults. These findings are relevant to improve clinical practice through the implementation of multidisciplinary strategies, given the adverse clinical outcomes related to hospital malnutrition.