Longitudinal Study of the Variation in Patient Turnover and Patient-to-Nurse Ratio: Descriptive Analysis of a Swiss University Hospital

Comparison of clinical outcomes between family caregivers and professional caregivers in in-hospital patients with acute ischaemic stroke: A prospective cohort study

AIM

This study explored the impact of different care modes on the outcome of hospitalized patients with acute ischaemic stroke (AIS) during hospitalization and 3 months after discharge.

METHODS

This was a prospective cohort study comparing the outcomes at hospitalization, at discharge, and at 3 months post discharge among AIS patients with different caregiving arrangements from 9, December 2022 to 20, August 2023. The general information questionnaire, Modified Barthel Index, Shortened General Comfort Questionnaire, Perceived Social Support scale, Herth Hope Index, modified Rankin scale and EQ-5D-5L were utilized for the investigation.

RESULTS

The psychological evaluation scores during hospitalization, including comfort, perceived social support, and hope, did not significantly differ between the two groups of AIS patients (p > .05). Moreover, there were no significant impacts observed in terms of length of stay (LOS) at the hospital or hospitalization expense (p > .05). The proportion of patients with intact functionality was greater in the family caregiver group 3 months after discharge (16.5%). However, when stratified based on prognosis, the difference in outcomes between the two groups of patients did not reach statistical significance (p > .05). The analysis of ADL, quality of life and stroke recurrence in 276 surviving ischaemic stroke patients 3 months post discharge indicated no differences between the two groups across all three aspects (p > .05).

CONCLUSION

Older and divorced or widowed AIS patients tend to prefer professional caregivers. The psychological state during hospitalization, length of hospital stay and hospitalization expenses are not influenced by the caregiving model. Three months post discharge, a greater proportion of patients in the family caregiving group had intact mRS functionality, but this choice did not impact patient prognosis, stroke recurrence, quality of life or independence in ADL.

TAILR (Nursing-Sensitive Events and Their Association With Individual Nurse Staffing Levels) Project: Protocol for an International Longitudinal Multicenter Study

BACKGROUND

Nursing-sensitive events (NSEs) are common, accounting for up to 77% of adverse events in hospitalized patients (eg, fall-related harm, pressure ulcers, and health care-associated infections). NSEs lead to adverse patient outcomes and impose an economic burden on hospitals due to increased medical costs through a prolonged hospital stay and additional medical procedures. To reduce NSEs and ensure high-quality nursing care, appropriate nurse staffing levels are needed. Although the link between nurse staffing and NSEs has been described in many studies, appropriate nurse staffing levels are lacking. Existing studies describe constant staffing exposure at the unit or hospital level without assessing patient-level exposure to nurse staffing during the hospital stay. Few studies have assessed nurse staffing and patient outcomes using a single-center longitudinal design, with limited generalizability. There is a need for multicenter longitudinal studies with improved potential for generalizing the association between individual nurse staffing levels and NSEs.

OBJECTIVE

This study aimed (1) to determine the prevalence, preventability, type, and severity of NSEs; (2) to describe individual patient-level nurse staffing exposure across hospitals; (3) to assess the effect of nurse staffing on NSEs in patients; and (4) to identify thresholds of safe nurse staffing levels and test them against NSEs in hospitalized patients.

METHODS

This international multicenter study uses a longitudinal and observational research design; it involves 4 countries (Switzerland, Sweden, Germany, and Iran), with participation from 14 hospitals and 61 medical, surgery, and mixed units. The 16-week observation period will collect NSEs using systematic retrospective record reviews. A total of 3680 patient admissions will be reviewed, with 60 randomly selected admissions per unit. To be included, patients must have been hospitalized for at least 48 hours. Nurse staffing data (ie, the number of nurses and their education level) will be collected daily for each shift to assess the association between NSEs and individual nurse staffing levels. Additionally, hospital data (ie, type, teaching status, and ownership) and unit data (ie, service line and number of beds) will be collected.

RESULTS

As of January 2024, the verification process for the plausibility and comprehensibility of patients' and nurse staffing data is underway across all 4 countries. Data analyses are planned to be completed by spring 2024, with the first results expected to be published in late 2024.

CONCLUSIONS

This study will provide comprehensive information on NSEs, including their prevalence, preventability, type, and severity, across countries. Moreover, it seeks to enhance understanding of NSE mechanisms and the potential impact of nurse staffing on these events. We will evaluate within- and between-hospital variability to identify productive strategies to ensure safe nurse staffing levels, thereby reducing NSEs in hospitalized patients. The TAILR (Nursing-Sensitive Events and Their Association With Individual Nurse Staffing Levels) study will focus on the optimization of scarce staffing resources.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/56262.

The relationship between nursing home staffing and resident safety outcomes: A systematic review of reviews

BACKGROUND

Resident safety is an important topic for nursing home practice with up to 33 % of residents subjected to an adverse event. In spite of a large evidence base examining the relationship between nursing home staffing and resident outcomes, the findings of several systematic reviews remain inconclusive and contradicting, possibly due to methodological shortcomings.

OBJECTIVE

The main aim of this review was to provide a comprehensive overview of the literature on nursing home staffing and its relationship with resident safety outcomes.

DESIGN

We undertook a systematic review of reviews. We searched Medline, CINAHL and Embase by the end of November 2022. Reviews were included if they assessed the relationship between nursing home staffing and resident safety outcomes using objective measures and data at resident level. Quality appraisal was conducted using the SIGN-checklist, but we did not exclude any reviews based on quality assessment. We used a narrative approach, tables and figures to summarize the findings.

RESULTS

We included 13 systematic reviews published between 2006 and 2022 building on primary evidence from 1977 to 2022. Twelve reviews investigated the relationship between nurse staffing and resident safety outcomes (187 unique primary studies), and one review focused on allied health professionals (28 primary studies). Five reviews originated as work to inform governmental recommendations on staffing. We found diverse approaches used to investigate the staffing-outcome relationship with regard to design, timeframe, operationalization, data-source and theoretical rationales guiding the studies. The most prominently reported resident safety outcomes were pressure ulcers and urinary tract infections. Commonly reported staffing measures included number and level of education of nursing home staff. Based on narrative summaries, staffing seems to have a favorable relationship with resident safety outcomes, but logic models explaining the mechanisms of this relationship were sparsely reported.

CONCLUSIONS

The existing literature shows methodological limitations that demand a change in research on the staffing-outcome relationship in the nursing home setting. Our work highlights the need for carefully designed primary studies that address the pertinent shortcomings by design, timeframe, operationalization, data-source and theoretical rationales. These future studies will allow to carefully examine the causal relationship between selected staffing measures and resident safety outcomes in further detail and serve as legitimate evidence bases to inform action plans for clinical practice and to evaluate staffing policies.

Patient-to-nurse ratios: Balancing quality, nurse turnover, and cost

We consider the problem of setting appropriate patient-to-nurse ratios in a hospital, an issue that is both complex and widely debated. There has been only limited effort to take advantage of the extensive empirical results from the medical literature to help construct analytical decision models for developing upper limits on patient-to-nurse ratios that are more patient- and nurse-oriented. For example, empirical studies have shown that each additional patient assigned per nurse in a hospital is associated with increases in mortality rates, length-of-stay, and nurse burnout. Failure to consider these effects leads to disregarded potential cost savings resulting from providing higher quality of care and fewer nurse turnovers. Thus, we present a nurse staffing model that incorporates patient length-of-stay, nurse turnover, and costs related to patient-to-nurse ratios. We present results based on data collected from three participating hospitals, the American Hospital Association (AHA), and the California Office of Statewide Health Planning and Development (OSHPD). By incorporating patient and nurse outcomes, we show that lower patient-to-nurse ratios can potentially provide hospitals with financial benefits in addition to improving the quality of care. Furthermore, our results show that higher policy patient-to-nurse ratio upper limits may not be as harmful in smaller hospitals, but lower policy patient-to-nurse ratios may be necessary for larger hospitals. These results suggest that a "one ratio fits all" patient-to-nurse ratio is not optimal. A preferable policy would be to allow the ratio to be hospital-dependent.

Work-schedule management in psychiatric hospitals and its associations with nurses' emotional exhaustion and intention to leave: A cross-sectional multicenter study

BACKGROUND

Managing nurses' work schedules in hospitals is challenging because employer needs, like shift changes at short notice and overtime, may conflict with nurses' desires for a predictable and stable schedule. Nurses should have a certain degree of control over their work schedules, and their supervisors should support their needs in scheduling. How perceived control over work schedules, perceived support from supervisors in scheduling, shift changes at short notice, and overtime affect nurses' emotional exhaustion and intentions to leave has not been studied.

OBJECTIVES

The aims are (1) to describe perceived control, perceived supervisor support, shift changes at short notice, and overtime among nurses in psychiatric hospitals; (2) to assess the variation of these four factors between units at psychiatric hospitals; and (3) to investigate the association between these factors with nurses' emotional exhaustion and intentions to leave.

DESIGN

Cross-sectional survey study.

SETTING(S)

Swiss psychiatric hospitals with 24-hour services.

PARTICIPANTS

Registered nurses (N = 994) from 114 adult-inpatient units.

METHODS

To describe perceived control, perceived supervisor support, shift changes at short notice, and overtime among nurses, we calculated frequencies, percentages, means, and standard deviations of their responses to the survey. To assess the variation between units, we computed intraclass correlations for the four factors. We constructed random-effects models accounting for the clustering of nurses in units for emotional exhaustion and intentions to leave separately.

RESULTS

Perception of work-schedule control was 3.32 (SD 1.39, range 0-5); perception of supervisor work-schedule support was 3.28 (SD 1.14, range 0-4). On average, 9 % of the nurses had to take over a shift at short notice at least three times per month, and 40 % worked at least 15 minute overtime on their most recent shift. Intraclass correlation for all four factors was higher than 0.05. Emotional exhaustion was significantly associated with supervisor support and overtime, and leaving intentions were significantly associated with perceived control, supervisor support and overtime.

CONCLUSION

Perceived control, perceived supervisor support, shift changes at short notice, and overtime are promising factors for interventions to prevent nurses' emotional exhaustion and allay their intentions to leave. Unit managers should provide nurses with increased predictability and influence on their work schedules. This could reduce early career endings and early retirement and counteract nurse shortages.

The Association between Nursing Skill Mix and Patient Outcomes in a Mental Health Setting: An Observational Feasibility Study

Higher levels of educational preparation for nurses are associated with lower mortality rates in both medical and surgical wards. In mental health inpatient wards, few studies have examined whether specialist mental health nurse training has any impact on patient outcomes. The aim of this retrospective observational study was to establish the feasibility of extracting and linking nurse education and inpatient outcome data from hospital administrative sources to inform the design of future mental health nursing skill mix studies. Study participants were people experiencing mental ill-health and admitted to psychiatric inpatient care for at least 24 h. The exposure was the ratio of mental health nurses to comprehensive nurses for each patient for each day of their admission. The outcome was readmission for psychiatric inpatient care within 12 months of discharge from the index admission. Confounders were patient demographic (age, gender) and clinical characteristics (diagnosis, legal status, community follow-up). Forty-four patients included in the study were inpatients for a total of 595 days. The median hospital stay was 12 days (IQR = 7-17). In total, 11 (25%) patients were readmitted. In the readmitted and not readmitted groups, the median skill mix ratio was 5 (IQR = 5-7) and 5 (1-6), respectively. It was feasible to extract and code patient and nurse data from hospital databases and link them together. However, a substantial amount of manual post hoc recoding was required to enable us to calculate the exposure (mental health to comprehensive nurse ratio) in a precise way. It may be realistic to automate our methodology in an appropriately powered mental health nursing skill mix study. Australian and New Zealand clinical trial registry: ACTRN12619001337167p.

Intensive care unit staffing during the periods of fluctuating bed occupancy: An alternative dynamic model

OBJECTIVES

Staffing is the single biggest cost component in the critical care budgets. Due to the fluctuation in both bed occupancy and the level of care needs, nursing staff requirement can vary considerably from day to day. This makes the traditional 'fixed roster' staffing system inefficient, costly and potentially unsafe. In this study, we used the existing bed occupancy data to test the viability two 'dynamic' workforce management models.

RESEARCH METHODOLOGY

Nursing requirement data were prospectively collected over one year at a thirty-two-bed critical care unit. Using mathematical models, we then tested the concept of two alternative workforce management models and compared the level of staffing, as well as the estimated cost per year. The first was an 'on-call' model, which was a two-tier roster with a standard staffing level and an additional on-call component; the second was a 'predictive' model, which estimated the staffing requirement based on the bed occupancy a few days prior.

SETTING

Single centre study in a busy district general hospital with a 32-bed critical care unit.

MAIN OUTCOME MEASURES

The number of days with safe staffing levels and the cost of the alternative workforce management models.

RESULTS

Data were collected over 331 days. The on-call model was estimated to cost 16% less per year (£431,320, or 2,630 nurse-shift equivalent) compared to the fixed roster, while fulfilling the adequate staffing standards in 97% of the days. While the predictive model could also be used to improve the workforce efficiency, this was overall less efficient than the on-call model.

CONCLUSION

The modelled data suggests that the implementation of an 'on-call' model in critical care nursing rostering could potentially improve coverage and appear to be cost effective.

Evaluation of the Liver Disease Information in Baidu Encyclopedia and Wikipedia: Longitudinal Study

Background

The internet has changed the way of people acquiring health information. Previous studies have shown that Wikipedia is a reasonably reliable medical resource, and it has been ranked higher than other general websites in various search engines. Baidu Encyclopedia is one of the most popular encyclopedia websites in China. However, no studies have shown the quality of the content provided in the Baidu Encyclopedia.

Objective

This study aimed to evaluate the quality of liver disease information provided by Wikipedia (in English) and Baidu Encyclopedia (in Chinese) and to perform a comparison of the quality and timeliness of the articles published in these two encyclopedias. Moreover, a 3-year follow-up study was conducted to compare if the information in both these websites was updated regularly over this period.

Methods

We searched for information on liver diseases by using the International Statistical Classification of Diseases and Related Health Problems 10th Revision Version 2016 codes on Wikipedia (in English) and Baidu Encyclopedia (in Chinese). The quality of the articles was assessed using the DISCERN instrument, which consists of 3 sections. We recorded the latest editing date of the webpages and calculated the date interval to evaluate the update timeliness of these websites.

Results

We found 22 entries on liver diseases in Baidu Encyclopedia and 15 articles in Wikipedia between September 15, 2016, and September 30, 2016, and we found 25 entries in Baidu Encyclopedia and 16 articles in Wikipedia between September 15, 2019, and September 30, 2019. In section 1 of the DISCERN instrument, the mean (SE) scores of Baidu Encyclopedia entries were significantly lower than those of Wikipedia articles. In section 2 and section 3 of the DISCERN instrument, the DISCERN scores of Baidu Encyclopedia entries were lower than those of Wikipedia articles, but the differences were not statistically significant. The total DISCERN scores of Baidu Encyclopedia entries were significantly lower than those of Wikipedia articles. The update interval of the entries in Baidu Encyclopedia was found to be significantly longer than that of the articles in Wikipedia.

Conclusions

This study shows that the quality of articles and the reliability of the research content on liver diseases in Wikipedia are better than those of the entries in Baidu Encyclopedia. However, the quality of the treatment choices provided in both Wikipedia and Baidu Encyclopedia is not satisfactory. Wikipedia is updated more frequently than Baidu Encyclopedia, thereby ensuring that the information presented has the most recent research findings. The findings of our study suggest that in order to find accurate health information, it is important to seek the help of medical professionals instead of looking for a prescription amid the confusing information provided on the internet.