Fall Rates in Urban and Rural Nursing Units: Does Location Matter?

Nurse Well-Being and Patient-Specific Outcomes: A Scoping Review

BACKGROUND

The health and well-being of the nursing workforce has received recent attention due to nurse attrition and the critical nurse shortages projected across the country. A nurse's well-being may impact patient outcomes.

PURPOSE

The purpose of this scoping review was to assess the association between nurse well-being factors and specific patient outcomes.

METHODS

The preferred reporting items for systematic reviews and meta-analyses (PRISMA) PRISMA Scoping Review protocol and 2020 reporting guidelines were utilized in this review.

RESULTS

Staffing, environment, physical health, and mental health of nurses were correlated to specific adverse patient outcomes among the 97 articles included in the final review. The majority of the articles reported significant findings.

CONCLUSIONS

Patient outcomes were reviewed as discrete events in the articles examined. With mixed results found on key patient outcomes, future research requires more in-depth investigation into the role nurse well-being has on patient outcomes.

Exploring nurses' clinical judgment concerning the relative importance of fall risk factors: A mixed method approach using the Q Methodology

BACKGROUND

Nurses are pivotal in averting patient falls through their assessment of cues presented by patients and their environments, rendering clinical judgments regarding the risk of falling, and implementing tailored interventions. Despite the intricate cognitive processes entailed in nurses' judgment, no prior studies have explored their approach to assessing the risk of falling.

OBJECTIVE

This study aimed to examine how nurses judge the risk of falling among patients with different conditions, whether there are differences in the importance of risk factors as judged by nurses, how they justify their judgments, and what attributes of the nurses influence their judgments.

DESIGN

A mixed method approach using the Q Methodology was employed.

SETTING(S)

Three public and private hospitals in Japan.

PARTICIPANTS

Eighteen nurses participated in the study.

METHODS

Participants were tasked with ranking 36 patient scenarios, each featuring a distinct set of fall risk factors. Subsequently, post-sorting interviews were conducted to gather insights into their typical approach to assessing fall risk and the rationale behind their ranking decisions. A by-person principal component factor extraction was employed to examine differences in the rankings of the scenarios. The interview data were analyzed descriptively to elucidate the reasons behind these discrepancies.

RESULTS

Nurses engage in complex cognitive manipulations when evaluating the risk of patient falls, drawing extensively from their wealth of experience while utilizing assessment tools to support their judgments. In essence, nurses identify patients' tendency to act alone without calling a nurse, impaired gait and cognition, sedative use, drains, and limited information sharing among healthcare professionals as key fall risks. In addition, nurses vary in the importance they attribute to certain risk factors, leading to the discrimination of three distinct judgment profiles. One group of nurses judges patients with cognitive impairment and acting alone as high risk. Another group of nurses considers patients with unstable gait and acting alone as high risk. The last group of nurses sees patients wearing slippers as high risk. The post-sorting interviews revealed that their judgments are closely related to the healthcare context and patient population.

CONCLUSIONS

Nurses operate within diverse contexts, wherein they interact with patients of varying characteristics, collaborate with professionals from diverse disciplines, and have access to varying levels of human and physical resources. This nuanced understanding empowers the formulation of judgments that are finely attuned to the specific context at hand.

STUDY REGISTRATION

Not registered.

Comparison of three fall risk assessment tools in older hospitalized patients in Turkey: analysis of sensitivity and specificity

BACKGROUND

As a result of falls, older patients experience injury and loss of function, and their length of hospital stay and care costs increase.

AIM

This study was conducted to determine fall risks and compare the sensitivity and specificity of three fall risk assessment tools.

METHODS

Older patients' fall risk levels were determined according to the Itaki, Hendrich-II, and Morse tools within 2 h following their admission to the wards. A methodological design was used in the study, which included 388 hospitalized elderly patients. The mean age of the patients was 72.29 ± 5.6 years, and 57.7% were female.

RESULTS

According to the ROC curve values of Sensitivity and 1-Specificity, the cut-off points for the Hendrich-II, Itaki, and Morse fall tools were accepted as 27.5, 8.5, and 6.5, respectively. According to the analysis results, the ratios of the areas under the ROC curve for the Itaki, Morse, and Hendrich-II fall tools were 0.794, 0.773, and 0.724, respectively, which were found to be statistically significant for all three tools (p ≤ 0.001).

CONCLUSIONS

The Itaki Fall Risk Tool was found to be the most sensitive one among the three instruments in assessing the fall risk of older hospitalized patients. The Itaki Fall Risk Tool was followed by the Morse and Hendrich-II tools, respectively, in terms of sensitivity.

Evaluation of Automated Video Monitoring to Decrease the Risk of Unattended Bed Exits in Small Rural Hospitals

OBJECTIVES

This study aimed to evaluate the effectiveness of using 1 to 4 mobile or fixed automated video monitoring systems (AVMSs) to decrease the risk of unattended bed exits (UBEs) as antecedents to unassisted falls among patients at high risk for falls and fall-related injuries in 15 small rural hospitals.

METHODS

We compared UBE rates and fall rates during baseline (5 months in which patient movement was recorded but nurses did not receive alerts) and intervention phases (2 months in which nurses received alerts). We determined lead time (seconds elapsed from the first alert because of patient movement until 3 seconds after an UBE) during baseline and positive predictive value and sensitivity during intervention.

RESULTS

Age and fall risk were negatively associated with the baseline patient rate of UBEs/day. From baseline to intervention: in 9 hospitals primarily using mobile systems, UBEs/day decreased from 0.84 to 0.09 (89%); in 5 hospitals primarily using fixed systems, UBEs/day increased from 0.43 to 3.18 (649%) as patients at low risk for falls were observed safely exiting the bed; and among 13 hospitals with complete data, total falls/1000 admissions decreased from 8.83 to 5.53 (37%), and injurious falls/1000 admissions decreased from 2.52 to 0.55 (78%). The median lead time of the AVMS was 28.5 seconds, positive predictive value was nearly 60%, and sensitivity was 97.4%.

CONCLUSIONS

Use of relatively few AVMSs may allow nurses to adaptively manage UBEs as antecedents to unassisted falls and fall-related injuries in small rural hospitals. Additional research is needed in larger hospitals to better understand the effectiveness of AVMSs.

Staffing, teamwork and scope of practice: Analysis of the association with patient safety in the context of rehabilitation

Aims

To describe the organization of nursing services (staffing, scope of practice, teamwork) and its association with medication errors and falls, in rehabilitation units.

Background

The healthcare system is greatly impacted by the ageing population and the complexity of care associated with chronic diseases. It is therefore necessary to have enough staff who are using their full scope of practice and who are operating in a favourable working environment. However, these conditions are not always met, which can lead to threats to patient safety.

Design

A correlational descriptive study.

Methods

Staffing data and reported safety incidents were collected by shift from 01 October 2019 until 15 January 2020 in five rehabilitation units. In addition, a total of 75 nursing staff members responded to a missed care and teamwork survey. Descriptive analysis and logistic regression analysis were performed.

Results

The mean staff hours per patient shift was 1.39 (SD = 0.60). The teams reported a global missed care score as ‘rarely missed’ at 1.14 (SD = 0.07) and a moderate teamwork score at 3.36 (SD = 0.58) on a five‐point scale. The safety incidents decreased 10‐fold with a predominance of bachelor compared with technician nurses and decreased by 67% when there was an increase of 1 h of care per patient shift.

Conclusions

This study showed that the organization of nursing services in the observed rehabilitation units is characterized by a moderate staffing intensity, a moderate perception of teamwork level and a relatively low level of missed care. It indicated the key role of the staffing in reducing the risk of occurrence of safety incidents. Future research specific to rehabilitation hospitals are greatly needed to improve patient outcomes in this setting.

Impact

Nurse Managers should consider all the aspects of the organization of nursing services (staffing, scope of practice and teamwork) in their efforts to improve patient safety in rehabilitation settings. A central finding of this study is that the staffing intensity, the proportion of bachelor prepared nurses and the proportion of agency staff were positively associated with a reduction of safety incidents.

Trends in COVID-19 cases, deaths, and staffing shortages in US nursing homes by rural and urban status

The purpose of the study was to examine trends in COVID-19 cases, related deaths, and staffing shortages in nursing homes (NH) by rural and urban status from May 2020 to Feb 2021. Generalized linear mixed models with state-fixed effects were used to estimate the interaction effect of study period and rural/urban status on having at least: one COVID-19 case, one related death, and/or at least one week of staffing shortage using the NH COVID-19 data spanning the 40-week period. The findings revealed shortages in staff, particularly direct care providers, were greatly accelerated in rural NHs as the pandemic wore on over time. Conversely, staffing shortages in urban NHs were relatively stable despite the fluctuating COVID-19 cases over the same time period. The findings highlight the need of identifying effective strategies that prevent rural NHs from encountering staffing deficits in response to long-lasting natural disasters such as the COVID-19 pandemic.

Rural-urban differences in educational attainment among registered nurses: Implications for achieving an 80% BSN workforce

BACKGROUND

Multiple professional organizations and institutes recommend the Bachelor of Science in Nursing (BSN) degree as a minimum standard for registered nurse practice. Achieving this standard may be particularly challenging in rural areas, which tend to be more economically disadvantaged and have fewer opportunities for higher educational attainment compared to urban areas.

PURPOSE

Our primary objective was to provide updated information on rural-urban differences in educational attainment. We also examined rural-urban differences in employment type, salary, and demographics among registered nurses in different practice settings.

METHODS

Data were obtained from the 2011-2015 American Community Survey (ACS) Public Use Microdata Sample (PUMS). The sample included registered nurses (RN) between the ages of 18-64 years (n = 34,104) from all 50 states. Chi-square tests, t-tests, and multivariable logistic regression were used to examine the relationship between rurality and BSN preparedness and salary across practice settings.

RESULTS

Urban nurses were more likely to have a BSN degree than rural nurses (57.9% versus 46.1%, respectively; p < 0.0001), and BSN preparedness varied by state. In adjusted analysis, factors in addition to residence associated with BSN preparation included age, race, and region of the country. Differences in wages were experienced by nurses across practice settings with urban nurses generally earning significantly higher salaries across practice settings (p < 0.0001).

CONCLUSIONS

Strategies to advance nursing workforce education are needed in rural areas and may contribute to improved care quality and health outcomes.

Evaluating the Humpty Dumpty Fall Scale: An International, Multisite Study

BACKGROUND

The Humpty Dumpty Falls Prevention Program was developed to address an unmet need to identify pediatric patients at risk of a fall event.

PURPOSE

The aim of this study was to evaluate the performance of the Humpty Dumpty Fall Scale-Inpatient (HDFS) across a diverse, international pediatric population. In addition, the characteristics of patients who experienced a fall were analyzed.

METHODS

A retrospective, cross-sectional design was used to assess fall risk across 16 hospitals and 2238 pediatric patients. Multiple and simple logistic regressions were performed to evaluate association of individual scale items and total score with falls during hospitalization. Reliability, sensitivity, and specificity of the HDFS were also assessed.

RESULTS

Several of the HDFS items were significantly associated with the risk of falls in the pediatric population, but specificity of the tool is a concern to consider for future tool enhancement.

CONCLUSIONS

Characteristics for further refinement of the HDFS were identified.

Effect of preventive care interventions on pressure ulcer rates in a national sample of rural and urban nursing units: Longitudinal associations over 4 years

BACKGROUND

Pressure ulcer rates are persistently high despite years of research and practice policies focused on prevention. Prior research found crosssectional associations between care interventions, hospital and nursing unit characteristics and pressure ulcer rates. Whether these associations persist over time is unknown. Finally, comparisons of quality measures across rural and urban location have mixed findings.

OBJECTIVE

Our study examined effects of care interventions on unit-acquired pressure ulcer rates over 4 years controlling for community, hospital, and nursing unit characteristics in rural and urban locations.

DESIGN

Guided by contingency theory a longitudinal study was conducted to examine associations between context, staffing, care interventions, nurse outcomes, and pressure ulcer rates, using unit-level data from the National Database of Nursing Quality Indicators^Ⓡ 2010-2013 (16 quarters) augmented with data on rural classifications and case mix index. Ulcer rates were measured as percentage of patients with a nursing unit-acquired pressure ulcer. The three care interventions were unit-percentage of patients receiving skin assessment on admission, receiving risk assessment on admission, and receiving any risk assessment before the pressure ulcer. Nursing unit characteristics were RN staffing, education, and experience. Nurse outcomes were job satisfaction and intent-to-stay.

PARTICIPANTS

We included 5761 units (332 rural and 5429 urban) in 772 hospitals (89 rural and 683 urban) that reported ulcer rates in two or more quarters during the study period.

METHODS

Rural and urban units were examined separately using multilevel binomial regression in which within-unit changes in pressure ulcer rates were related to the within-unit changes in the explanatory variables, controlling for region, hospital size, unit type, case mix index, and percentage of patients at risk for pressure ulcers.

RESULTS

An increase in the three care interventions, RN skill mix, and the two nurse outcomes were associated with a decrease in unit-acquired pressure ulcers. For example, in rural units a 10% increase in unit-percentage of any risk assessment and in urban units a 10% increase in skin assessment on admission were associated with a 21% and 5% decrease in the odds of developing an ulcer. A 10% increase in RN skill mix was associated with 17-18% and 5-6% decrease in ulcer rates in rural and urban units respectively.

CONCLUSION

Hospitals aiming to improve pressure ulcer prevention should focus on organizational structures that support improved nurses work environments and workflow that will enhance nursing care interventions. Future studies should include both contextual and patient characteristics along with care interventions.

Rural Hospital Nursing Skill Mix and Work Environment Associated With Frequency of Adverse Events

Introduction:

Although rural hospitals serve about one fifth of the United States, few studies have investigated relationships among nursing resources and rural hospital adverse events.

Objectives:

The purpose was to determine relationships among nursing skill mix (proportion of registered nurses [RNs] to all nursing staff), the work environment, and adverse events (medication errors, patient falls with injury, pressure ulcers, and urinary tract infections) in rural hospitals.

Methods:

Using a cross-sectional design, nurse survey data from a large study examining nurse organizational factors, patient safety, and quality from four U.S. states were linked to the 2006 American Hospital Association data. The work environment was measured using the Practice Environment Scale of the Nursing Work Index (PES-NWI). Nurses reported adverse event frequency. Data analyses were descriptive and inferential.

Results:

On average, 72% of nursing staff were RNs (range = 45%–100%). Adverse event frequency ranged from 0% to 67%, across 76 hospitals. In regression models, a 10-point increase in the proportion of RNs among all nursing staff and a one standard deviation increase in the PES-NWI score were significantly associated with decreased odds of frequent adverse events.

Conclusion

Rural hospitals that increase the nursing skill mix and improve the work environment may achieve reduced adverse event frequency.

Isolated, small, and large hospitals have fewer nursing resources than urban hospitals: Implications for rural health policy

OBJECTIVE

The purpose was to compare nurse education, patient-to-nurse staffing, nursing skill mix, and nurse work environments across hospitals depending on extent of rurality.

DESIGN

Cross-sectional, comparative, and descriptive.

SAMPLE

The final sample included 566 urban, 49 large, 18 small, and 9 isolated hospitals from California, Florida, and Pennsylvania.

MEASUREMENT

Data collected from large random samples from the 2005-2008 Multi-State Nursing Care and Patient Safety Study funded by the National Institute of Nursing Research and National Institutes of Health were linked to 2005-2006 American Hospital Association data. Rural-Urban Commuting Area codes developed by the University of Washington and the United States Department of Agriculture Economic Research Service were used to determine the extent of hospital rurality across the sample.

RESULTS

Hospital percentages of baccalaureate prepared nurses differed significantly among urban (38%), large (28%), small (31%), and isolated rural hospitals (21%). Patient-to-registered nurse ratios in urban (4.8), large (5.6), small (5.6), and isolated rural hospitals (7.3) differed. Rural hospital nursing skill mix differed, and was lowest in isolated rural hospitals (65%). Nursing foundations for quality care were poorer in large, small, and isolated rural hospitals.

CONCLUSION

Results support bolstering rural nursing resources in more remote locations, potentially through rural health policies.