Association between health literacy and nursing care in hospital: A retrospective study.

AIMS: To describe the health literacy (HL) levels of hospitalised patients and their relationship with nursing diagnoses (NDs), nursing interventions and nursing measures for clinical risks. DESIGN: Retrospective study. METHODS: The study was conducted from December 2020 to December 2021 in an Italian university hospital. From 146 wards, 1067 electronic nursing records were randomly selected. The Single-Item Literacy Screener was used to measure HL. Measures for clinical risks were systematically assessed by nurses using Conley Index score, the Blaylock Risk Assessment Screening Score, Braden score, and the Barthel Index. A univariable linear regression model was used to assess the associations of HL with NDs. RESULTS: Patients with low HL reported a higher number of NDs, interventions and higher clinical risks. HL can be considered a predictor of complexity of care. CONCLUSIONS: The inclusion of standardised terms in nursing records can describe the complexity of care and facilitate the predictive ability on hospital outcomes. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: HL evaluation during the first 24 h. From hospital admission could help to intercept patients at risk of higher complexity of care. These results can guide the development of interventions to minimise needs after discharge. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution was required to design or undertake this research. Patients contributed only to the data collection.

Effectiveness of the Primary Nursing Model on nursing documentation accuracy: A quasi-experimental study.

AIMS AND OBJECTIVES: To analyse the Primary Nursing Model's effect on nursing documentation accuracy. BACKGROUND: The Primary Nursing is widely implemented since it has been considered as the ideal model of care delivery based on the relationship between the nurse and patient. However, previous research has not examined the relationship between Primary Nursing and nursing documentation accuracy. DESIGN: A pretest-posttest-follow-up design was used. METHODS: The study was conducted from August 2018 to February 2020 in eight surgical and medical wards in an Italian university hospital. The Primary Nursing was implemented in four wards (study group), while in the other four, the Team Nursing was practised (control group). Nursing documentation accuracy was evaluated through the D-Catch instrument. From the eight wards, 120 nursing documentations were selected randomly for each time point (pre-test, post-test and follow-up) and in each group. Altogether, 720 nursing documents were assessed. The study adhered to the TREND checklist. RESULTS: The Primary Nursing and Team Nursing Models exhibited significant differences in mean scores for documentation accuracy: assessment on admission, nursing diagnosis, nursing intervention and patient outcome accuracy. No differences between the two groups were found for record structure accuracy and legibility between the posttest and follow-up. CONCLUSION: Primary Nursing exerts an overall positive effect on nursing documentation accuracy and persists over time. RELEVANCE TO CLINICAL PRACTICE: The benefits from Primary Nursing implementation included better-documented patient outcomes. The use of Primary Nursing linked with the use of the nursing process allowed for a more individualised and problem-solving approach. Nurse managers should consider the implementation of Primary Nursing to improve care quality.

Standardized Nursing Diagnoses in a Surgical Hospital Setting: A Retrospective Study Based on Electronic Health Data.

Introduction: In electronic health records (EHRs), standardized nursing terminologies (SNTs), such as nursing diagnoses (NDs), are needed to demonstrate the impact of nursing care on patient outcomes. Unfortunately, the use of NDs is not common in clinical practice, especially in surgical settings, and is rarely included in EHRs. Objectives: The aim of the study was to describe the prevalence and trend of NDs in a hospital surgical setting by also analyzing the relationship between NDs and hospital outcomes. Methods: A retrospective study was conducted. All adult inpatients consecutively admitted to one of the 15 surgical inpatient units of an Italian university hospital across 1 year were included. Data, including the Professional Assessment Instrument and the Hospital Discharge Register, were collected retrospectively from the hospital's EHRs. Results: The sample included 5,027 surgical inpatients. There was a mean of 6.3 ± 4.3 NDs per patient. The average distribution of NDs showed a stable trend throughout the year. The most representative NANDA-I ND domain was safety/protection. The total number of NDs on admission was significantly higher for patient whose length of stay was longer. A statistically significant correlation was observed between the number of NDs on admission and the number of intra-hospital patient transfers. Additionally, the mean number of NDs on admission was higher for patients who were later transferred to an intensive care unit compared to those who were not transferred. Conclusion: NDs represent the key to understanding the contribution of nurses in the surgical setting. NDs collected upon admission can represent a prognostic factor related to the hospital's key outcomes.