CE: Reimagining Injurious Falls and Safe Mobility.

ABSTRACT: Injurious falls remain among the most common, dangerous, and costly adverse events in hospitals, despite the widespread implementation of fall prevention programs. Many current health care system policies and nursing practices oversimplify fall prevention by focusing on limiting the person's mobility and making the environment safer, or simply documenting a fall risk score. But most falls are caused by factors intrinsic to that individual; merely limiting their mobility can increase preventable hospital complications and readmissions, and still leaves them at risk for falls. This article proposes a new approach to reducing injurious falls in older adults-one grounded in evidence-based protocols known to positively impact the health of older adults. The approach, called by the acronym ERA-Electronic health record integration, Risk factors that matter, Assessment and care plans-allows nurses to use a validated fall risk assessment tool to reframe fall risk factors as part of the comprehensive care plan, and to map modifiable risk factors to interventions that address the underlying causes of falls and promote safer mobility. The ERA approach can help nurses use their time more effectively by focusing on targeted actions that improve patient outcomes, working in coordination with an interprofessional, cross-continuum care team.

Validation of the Hendrich II Fall Risk Model: The imperative to reduce modifiable risk factors.

AIM: To validate the psychometrics of the Hendrich II Fall Risk Model (HIIFRM) and identify the prevalence of intrinsic fall risk factors in a diverse, multisite population. BACKGROUND: Injurious inpatient falls are common events, and hospitals have implemented programs to achieve "zero" inpatient falls. METHODS: Retrospective analysis of patient data from electronic health records at nine hospitals that are part of Ascension. Participants were adult inpatients (N = 214,358) consecutively admitted to the study hospitals from January 2016 through December 2018. Fall risk was assessed using the HIIFRM on admission and one time or more per nursing shift. RESULTS: Overall fall rate was 0.29%. At the standard threshold of HIIFRM score ≥ 5, 492 falls and 76,800 non-falls were identified (fall rate 0.36%; HIIFRM specificity 64.07%, sensitivity 78.72%). Area under the receiver operating characteristic curve was 0.765 (standard error 0.008; 95% confidence interval 0.748, 0.781; p < 0.001), indicating moderate accuracy of the HIIFRM to predict falls. At a lower cut-off score of ≥4, an additional 74 falls could have been identified, with an improvement in sensitivity (90.56%) and reduction in specificity (44.43%). CONCLUSION: Analysis of this very large inpatient sample confirmed the strong psychometric characteristics of the HIIFRM. The study also identified a large number of inpatients with multiple fall risk factors (n = 77,292), which are typically not actively managed during hospitalization, leaving patients at risk in the hospital and after discharge. This finding represents an opportunity to reduce injurious falls through the active management of modifiable risk factors.

Definitional Change in NHSN CAUTI Was Associated with an Increase in CLABSI Events: Evaluation of a Large Health System.

BACKGROUND The National Healthcare Safety Network (NHSN) catheter-associated urinary tract infection (CAUTI) definition was revised as of January 2015 to exclude funguria and lower bacteriuria levels. We evaluated the effect of the CAUTI definition change on NHSN-defined central-line-associated bloodstream infection (CLABSI) outcomes. METHODS We compared CAUTI and CLABSI NHSN-defined outcomes for calendar years 2014 and 2015 in the adult intensive care units (ICUs) of a single large health system. Changes in the event rates, the associated organisms, and the standardized infection ratio (SIR) were evaluated. RESULTS The study included 137 adult ICUs from 65 hospitals. The CAUTI SIR dropped from 1.04 in 2014 to 0.58 in 2015 (-44.2%), while the CLABSI SIR increased from 0.36 in 2014 to 0.47 in 2015 (+30.6%). CAUTI rates dropped 44.8% from 2.09 to 1.15 events per 1,000 device days (P<.001). Gram-positive-associated CAUTI rates dropped 36.7% from 0.34 to 0.22 per 1,000 device days (P=.007). CLABSI rates increased 27.1% from 0.71 to 0.90 per 1,000 device days (P=.027). Candida-associated CLABSI increased by 91.1% from 0.104 to 0.198 per 1,000 device days (P=.012), and Enterococcus-associated CLABSI increased by 121.6% from 0.071 to 0.16 per 1,000 device days (P=.008). CONCLUSIONS The revised CAUTI definition led to a large reduction in CAUTI rates and, in turn, an increase in candidemia and enterococcemia cases classified as CLABSI events. These findings have important implications on the perceived successes or failures to eliminate both infections. Infect Control Hosp Epidemiol 2017;38:685-689.

The ascension health experience: maximizing the chief nursing officer role in a large, multihospital system to advance patient care quality and safety.

Ascension Health is the largest Catholic and nonprofit health system in the United States, encompassing 70 acute care hospitals organized into 34 health ministries. Consistent with its distributed leadership model, Ascension Health has created a Chief Nursing Officer (CNO) Advisory Council to provide strategic direction and thought leadership on major system-level initiatives that impact quality, safety, operational performance, nursing leadership, and patient care delivery. The council fosters systemwide CNO engagement and dialogue through a unique structure of regional CNO work teams called "pods," each of which is chaired by a member of the council. This communication structure has facilitated consensus on major system initiatives at Ascension Health related to clinical goals, patient safety, nursing leadership, and systemwide capital investments. This article describes the history, structure, goals, processes, and successes of the CNO Advisory Council shared governance model.

Intra-unit patient transports: time, motion, and cost impact on hospital efficiency.

The costly and inefficient movement of patients within the hospital challenges health systems across the country as they strive to simultaneously contain rising costs and provide high-quality patient care. Solid evidence to support the improvement of hospital and patient care efficiency through the identification and suggested elimination of waste patterns within the transport process is presented.

Effects of acuity-adaptable rooms on flow of patients and delivery of care.

BACKGROUND: Delayed transfers of patients between nursing units and lack of available beds are significant problems that increase costs and decrease quality of care and satisfaction among patients and staff. OBJECTIVE: To test whether use of acuity-adaptable rooms helps solve problems with transfers of patients, satisfaction levels, and medical errors. METHODS: A pre-post method was used to compare the effects of environmental design on various clinical and financial measures. Twelve outcome-based questions were formulated as the basis for inquiry. Two years of baseline data were collected before the unit moved and were compared with 3 years of data collected after the move. RESULTS: Significant improvements in quality and operational cost occurred after the move, including a large reduction in clinician handoffs and transfers; reductions in medication error and patient fall indexes; improvements in predictive indicators of patients' satisfaction; decrease in budgeted nursing hours per patient day and increased available nursing time for direct care without added cost; increase in patient days per bed, with a smaller bed base (number of beds per patient days). Some staff turnover occurred during the first year; turnover stabilized thereafter. CONCLUSIONS: Data in 5 key areas (flow of patients and hospital capacity, patients' dissatisfaction, sentinel events, mean length of stay, and allocation of nursing productivity) appear to be sufficient to test the business case for future investment in partial or complete replication of this model with appropriate populations of patients.

Validation of the Hendrich II Fall Risk Model: a large concurrent case/control study of hospitalized patients.

This large case/control study of fall and non-fall patients, in an acute care tertiary facility, was designed to concurrently test the Hendrich Fall Risk Model. Cases and controls (355/780) were randomly enrolled and assessed for more than 600 risk factors (intrinsic/extrinsic). Standardized instruments were used for key physical attributes as well as clinician assessments. A risk factor model was developed through stepwise logistic regression. Two-way interactions among the risk factors were tested for significance. The best fitting model included 2 Log L chi square statistic as well as sensitivity and specificity values retrospectively. The result of the study is an easy to use validated Hendrich Fall Risk Model with eight assessment parameters for high-risk fall identification tested in acute care environments.