Public Reporting of Nurse Staffing in the United States

Hospital Nurse Staffing Legislation: Mixed Approaches In Some States, While Others Have No Requirements

Legislative agendas aimed at regulating nurse staffing in US hospitals have intensified after acute workforce disruptions triggered by COVID-19. Emerging evidence consistently demonstrates the benefits of higher nurse staffing levels, although uncertainty remains regarding whether and which legislative approaches can achieve this outcome. The purpose of this study was to provide a comprehensive updated review of hospital nurse staffing requirements across all fifty states. As of January 2024, seven states had laws pertaining to staffing ratios for at least one hospital unit, including California and Oregon, which had ratios pertaining to multiple units. Eight states required nurse staffing committees, of which six specified a percentage of committee members who must be registered nurses. Eleven states required nurse staffing plans. Five states had pending legislation, and one state, Idaho, had passed legislation banning minimum nurse staffing requirements. The variety of state regulations provides an opportunity for comparative evaluations of efficacy and feasibility to inform new legislation on the horizon.

On the Association Between Demographic Structural Change and the Effectiveness of Nurse Staffing Policy for Inpatient Care: Evidence from Taiwan

Purpose

This study investigates the influence of demographic changes on the effectiveness of hospital nurse staffing policy, measured by the cumulative response of inpatient care quality to adjustments in hospital nurse staffing levels in Taiwan.

Methods

The research design utilized in this study aligns with the observational time-series methodology, and a total of 99 monthly time-series observations were collected from multiple databases administered by the Taiwan government over the period from January 2015 to March 2023. Specifically, the time-varying parameter vector autoregressive and autoregressive distributed lag models were employed to investigate the association between age distribution and nurse staffing policy effectiveness.

Results

The time-varying impulse responses of the unplanned 14-day readmission rate after discharge to changes in nurse staffing levels indicate a positive association between patient-to-nurse ratios and unplanned 14-day readmission rates across various types of hospitals. Nevertheless, the effectiveness of hospitals' nurse staffing policy is observed to diminish with population aging, particularly evident in medical centers and regional hospitals.

Conclusion

Policymakers should establish lower mandated patient-to-nurse ratios, grounded in practical nurse workforce planning, to address the needs of an aging society and enhance inpatient care quality through improved nurse staffing in hospitals.

Implementation and effectiveness of a nurse navigation programme based on noddings' care theory in first-year undergraduate nursing students for professional identity and career planning: A quasi-experimental study

AIMS

Development and evaluation of the effectiveness of a Nurse Navigation programme based on Noddings' Care theory on two dependent variables which were professional identity and career planning among first-year undergraduate nursing students.

BACKGROUND

First-year undergraduate nursing students generally have a low sense of professional identity and career planning, resulting in a loss of nursing power after graduation. Implemention of a Nurse Navigation program based on Noddings' Care theory may be potentially useful in cultivating their professional identity and career planning.

DESIGN

A quasi-experimental study.

METHODS

A convenience sample of 122 first-year undergraduate nursing students from two medical universities was recruited between September 2021 and June 2022. Students in the experimental group (n = 63) participated in the Nurse Navigation programme based on Noddings' Care theory, which contained four core components, spreading over 50 lessons. Those in the control group (n = 59) underwent a traditional training programme with five components across 44 lessons. The two groups were compared in terms of their level of professional identity by Professional identity questionnaire for nurse students (PIQNS) and career planning by Career planning questionnaire (CPQ) after the training using the t-test.

RESULTS

The mean score of professional identity in the experimental group increased significantly from 51.02 ± 8.46 at baseline to 58.02 ± 8.81 after the intervention (p < 0.001), with a large effect size (Cohen's d=0.810). Also, this post-intervention score was statistically significantly higher than that (52.86 ± 9.27) in the control group (p = 0.002), with a medium effect size (Cohen's d=0.571). The mean score of career planning in the experimental group increased significantly from 81.76 ± 9.86 at baseline to 94.52 ± 10.81 after the intervention (p < 0.001), with a large effect size (Cohen's d = 1.233). Also, this post-intervention score was statistically significantly higher than that (88.25 ± 9.30) in the control group (p < 0.001), with a medium effect size (Cohen's d=0.623).

CONCLUSIONS

The Nurse Navigation programme based on Noddings' Care theory showed effectiveness in enhancing professional identity and career planning among first-year undergraduate nursing students in China. Further rigorous studies are needed to examine its effectiveness and long-term impacts on these students.

Resilience-Related Resources Predict Physicians' Fatigue, Job Search Behavior, and Productivity Outcomes

OBJECTIVE

The objective of this research was to assess the relative contribution of three resilience-related dispositional resources (trait mindfulness, core self-evaluations, and optimism) to emergency medicine physicians' fatigue, retention, and productivity.

METHODS

We surveyed emergency physicians employed by a national (US) medical staffing organization. The survey included measures of work stressors, resilience resources, job search behavior, and fatigue. We linked the survey responses to objective demographic and productivity measures from the organization's records.

RESULTS

A total of 371 respondents completed the survey. Multiple regression analyses demonstrated support for each of the three resilience-related resources as predictors. Relative weights analyses showed that resilience accounted for 14% and 62% of the outcome variance, whereas work demands accounted for between 32% and 56%.

CONCLUSIONS

Multiple facets of dispositional resilience are important predictors of emergency medicine physicians' occupational health, retention, and productivity.

A repeated cross-sectional study of nurses immediately before and during the COVID-19 pandemic: Implications for action

BACKGROUND

The shortage of nursing care in US hospitals has become a national concern.

PURPOSE

The purpose of this manuscript was to determine whether hospital nursing care shortages are primarily due to the pandemic and thus likely to subside or due to hospital nurse understaffing and poor working conditions that predated it.

METHODS

This study used a repeated cross-sectional design before and during the pandemic of 151,335 registered nurses in New York and Illinois, and a subset of 40,674 staff nurses employed in 357 hospitals.

FINDINGS

No evidence was found that large numbers of nurses left health care or hospital practice in the first 18 months of the pandemic. Nurses working in hospitals with better nurse staffing and more favorable work environments prior to the pandemic reported significantly better outcomes during the pandemic.

DISCUSSION

Policies that prevent chronic hospital nurse understaffing have the greatest potential to stabilize the hospital nurse workforce at levels supporting good care and clinician wellbeing.

Alternative Approaches to Ensuring Adequate Nurse Staffing: The Effect of State Legislation on Hospital Nurse Staffing

OBJECTIVE

The objective of this study was to addresses the basic question of whether alternative legislative approaches are effective in encouraging hospitals to increase nurse staffing.

METHODS

Using 16 years of nationally representative hospital-level data from the American Hospital Association (AHA) annual survey, we employed a difference-in-difference design to compare changes in productive hours per patient day for registered nurses (RNs), licensed practical/vocational nurses (LPNs), and nursing assistive personnel (NAP) in the state that mandated staffing ratios, states that legislated staffing committees, and states that legislated public reporting, to changes in states that did not implement any nurse staffing legislation before and after the legislation was implemented. We constructed multivariate linear regression models to assess the effects with hospital and year fixed effects, controlling for hospital-level characteristics and state-level factors.

RESULTS

Compared with states with no legislation, the state that legislated minimum staffing ratios had an 0.996 (P<0.01) increase in RN hours per patient day and 0.224 (P<0.01) increase in NAP hours after the legislation was implemented, but no statistically significant changes in RN or NAP hours were found in states that legislated a staffing committee or public reporting. The staffing committee approach had a negative effect on LPN hours (difference-in-difference=-0.076, P<0.01), while the public reporting approach had a positive effect on LPN hours (difference-in-difference=0.115, P<0.01). There was no statistically significant effect of staffing mandate on LPN hours.

CONCLUSIONS

When we included California in the comparison, our model suggests that neither the staffing committee nor the public reporting approach alone are effective in increasing hospital RN staffing, although the public reporting approach appeared to have a positive effect on LPN staffing. When we excluded California form the model, public reporting also had a positive effect on RN staffing. Future research should examine patient outcomes associated with these policies, as well as potential cost savings for hospitals from reduced nurse turnover rates.