Predictors of Clinical Nurse Leader implementation success across a national sample of settings: A Bayesian multilevel modeling analysis.

INTRODUCTION: The Clinical Nurse Leader (CNL) care model is a different way of organizing frontline nursing care delivery in contrast to the traditional "staff nurse" model and is increasingly being adopted by health systems across the United States and abroad. However, variability in implementation and outcomes has been noted across health settings. AIM: A recently validated CNL Practice Model provides an explanatory pathway for CNL model integration into practice. The purpose of this study was to identify and compare patterns of empirical correspondence to the CNL Practice Model and predict their influence on implementation success. METHODS: We conducted a secondary analysis of a 2015 national-level study with clinicians and administrators involved with CNL initiatives in their health system. A psychometrically validated CNL Practice Survey was used to collect data measuring the presence (0%-100%) of the five domains of the CNL Practice Model (organizational readiness, CNL structuring, CNL practices, outcomes, and value) and one measure of CNL implementation success. We modeled the complex hierarchical structure of the data using a Bayesian multilevel regression mixed modeling approach. A zero-one-inflated beta distribution, a mixture of Bernoulli distributions for the minimum and maximum responses and a beta distribution for the responses between the minimum and maximum, was used to fit success ratings in the model. RESULTS: A total of 920 participants responded, 540 (59%) provided success scores. The model captured ratings skewed toward upper bound, while also adequately modeling data between the minimum and maximum values. The Bayesian model converged and gave estimates for all hierarchical parameters, which would likely have failed to converge in a pure maximum likelihood framework. The variability around success score across CNL Practice Model element ratings was greatest at the component level, 0.29 (0.18-0.48), compared to either the domain level, 0.16 (0.01-0.54), or the item level, 0.09 (0.01-0.17). The components most predictive of implementation success were (a) consensus CNL model can close gaps, (b) organization level implementation strategy, and (c) alignment of empirical CNL microsystem level structuring to the model's conceptualization. CONCLUSIONS: Findings provide further empirical evidence to support the explanatory pathway proposed by the CNL Practice Model and identified specific organizational readiness and CNL workflow structures that are critical antecedents predictive of CNL practice manifestation and production of expected outcomes. Findings indicate actionable implementation evidence that can be successfully adopted across real-world healthcare settings to achieve safer and higher quality patient care. CLINICAL RELEVANCE: CNL integrated care delivery is a frontline nursing care model that is being increasingly adopted by health systems across the United States and abroad. However, variability in CNL implementation and outcomes has been noted across health settings, limiting its evidence base. Findings of this study contribute a better understanding about the variability of CNL practice and outcomes found in the literature and contribute empirical and conceptual clarity about the relationships between modes of CNL implementation and successful adoption in healthcare settings.

Factors Influencing Implementation Success of the Clinical Nurse Leader Care Delivery Model: Findings From a National-Level Mixed-Methods Study.

BACKGROUND: The clinical nurse leader (CNL) care model has existed since 2007. However, there is limited understanding how the model can best be implemented. PURPOSE: A validated CNL Practice Survey measuring domains theorized to influence CNL implementation was used to examine the link between CNL domains and CNL implementation success. METHODS: Mixed methods were used to analyze data from a nationwide 2015 survey administered to clinicians and administrators involved in CNL initiatives. RESULTS: Of total respondents (n = 920), 543 (59%) provided success scores, with 349 (38%) providing comments. Respondents with negative comments gave significantly lower average CNL success scores. The majority of negative comments mapped onto Readiness and Structuring domains, providing details of barriers to CNL implementation success. CONCLUSIONS: Findings provide information about structural domains that can be strategically targeted to better prepare settings for CNL implementation and success.

Using a handheld UV device for disinfection in the patient care environment: A descriptive qualitative study.

Frontline nurses play a critical role in the prevention of healthcare-acquired infections (HAIs) through daily practices of hand hygiene and decontamination of surfaces. Despite these practices, environmental contamination and HAIs persist. Emerging use of UV light at wavelengths safe for human exposure provides additional strategies for disinfecting the patient care environment. The purpose of this qualitative study is to explore frontline nursing feedback regarding a novel handheld UV device prototype. A convenience sample of nurses were invited to participate in facilitated individual or small group discussions led by one member of the research team. Thematic analysis of discussion transcripts was completed by two members of the research team. Sixteen registered nurses participated. Four themes found in the study were time considerations, complexity, safety (patient and nurse), and characteristics of technology to improve patient care. Findings suggest that while nursing staff are willing to use technology, it must be considered valuable to patient care and should not hinder the provision of care. Inclusion of inputs from nursing staff for development of technology identifies potential barriers to acceptance and use in the practice environment.

Developing Effective Senior Nurse Leaders: The Impact of an Advanced Leadership Initiative.

OBJECTIVE: The aim of this study was to measure structural empowerment (SE) and capture short-term changes in perception for senior nurse leaders before and after a formal development experience. BACKGROUND: The body of literature related to SE in senior nurse leaders is limited. Applying the SE concept to senior levels of nursing leadership provides a vehicle to impact nurse leader retention and ultimately the organization beyond singular units. METHODS: The Advanced Leadership Program (ALP) was designed in collaboration with the American Nurses Association to support personal and professional development for senior nurse leaders. The sample included 28 participants from the United States and the United Kingdom over a 6-month period. RESULTS: The effect of the intervention was seen in the postintervention survey rating SE higher in 5 of 7 domains as compared with the preintervention survey, reduction in overall turnover, and improvements in patient experience scores. Additionally, the participants evaluated the program in top categories, and comments were highly positive around peer support, improved working relationships, and expectations. CONCLUSION: The ALP has shown promise in strengthening SE for senior nurse leaders by supporting leadership skill development, follow-up training, and peer network development.

Frontline Nurse Feedback During the Development of a System to Track Cleaning of Portable Medical Equipment.

As part of the development and testing of an innovative technology for tracking disinfection of portable medical equipment, end-user feedback was obtained during an initial trial on two acute care hospital units. The disinfection tracking device was installed on the computers-on-wheels and vital signs machines. Each device had the capability of detecting a cleaning event, reporting the event to an online database, and displaying the time since last cleaning event on a visual display. End-user feedback regarding functionality, usefulness of information provided, and impact on workflow was obtained by survey and facilitated group discussions. Seventeen frontline nurses completed the anonymous survey, and 22 participated in the facilitated group discussions. End users found the system functionally easy to use and the information about time since last cleaning useful and reported minimum disruption of workflow. Functionality of the system was confirmed by consistency between recorded and self-reported cleaning patterns. Managers found the data on cleaning of portable medical equipment helpful in validating compliance with hospital equipment cleaning policy. Frontline staff expressed appreciation for technology that helps them and improves outcomes but also discussed concerns about the potential for technology that creates extra work and disruption in the busy frontline nursing care delivery environment. Nurses were appreciative of opportunities to provide feedback and input into efforts to develop and introduce technology. Recorded cleaning events coincided with self-reported equipment cleaning patterns and illustrated that the device efficiently collects information deemed useful by the end user.

Implementation of the Clinical Nurse Leader Role in the Veterans Health Administration.

The Veterans Health Administration (VHA) led implementation of the Clinical Nurse Leader (CNL) role nationally with the goal to meet system needs for strong clinical leadership across all settings. After a decade of CNL role implementation, the VHA supported this evaluation to determine the current state, the successes, the challenges, and the fidelity to the original intent of the role. The team used mixed methods to evaluate the state of the CNL initiative. Ten evaluation activities were undertaken including a facility survey directed toward chief nurse executives at all VHA facilities, and a second survey directed at registered nurses who completed a CNL graduate program, were certified as a CNL, or were currently enrolled in a CNL graduate program. The evaluation results suggest the CNL initiative had not yet accomplished the stated goals to improve cost and financial outcomes, increase patient satisfaction, increase staff satisfaction and retention, improve quality and internal processes, and facilitate practice model transformation including evidence-based practice and collaborative, interdisciplinary practice across the system. Observed CNL practices within the VHA could serve as exemplars for developing a care delivery model that could achieve these goals and offer potential paths to move this role forward.

Advancing the clinical nurse leader model through academic-practice-policy partnership.

The nursing profession is tasked with identifying and evaluating models of care with potential to add value to health care delivery. In consideration of this goal, we describe the Clinical Nurse Leader (CNL) initiative and the activities of a national-level CNL research collaborative. The CNL initiative, launched by the American Association of Colleges of Nursing in collaboration with education and healthcare leaders, has delineated CNL education curriculum and practice competencies, and fostered the creation of academic-practice-policy partnerships to pilot CNL integration into frontline nursing care delivery. The partnership has evolved into an Agency for Healthcare Research and Quality affiliate practice-based research network, the CNL Research Collaborative, which links research, policy, education, and practice stakeholders to advance the CNL evidence base. We summarize foundational CNLRC research to explain CNL practice, quantify CNL effectiveness, and bring clarity to how CNLs can be implemented to consistently influence care, quality, and safety.

Developing the Clinical Nurse Leader Survey Instrument: A Modified Delphi Study.

Clinical nurse leader (CNL)-integrated care delivery is an emerging nursing model, with growing adoption in diverse health systems. To generate a robust evidence base for this promising nursing model, it is necessary to measure CNL practice to explicitly link it to observed quality and safety outcome improvements. This study used a modified Delphi approach with an expert CNL panel to develop and test the face, content, and construct validity of the CNL Practice Survey instrument.

Interaction of healthcare worker hands and portable medical equipment: a sequence analysis to show potential transmission opportunities.

BACKGROUND: While research has demonstrated the importance of a clean health care environment, there is a lack of research on the role portable medical equipment (PME) play in the transmission cycle of healthcare-acquired infections (HAIs). This study investigated the patterns and sequence of contact events among health care workers, patients, surfaces, and medical equipment in a hospital environment. METHODS: Research staff observed patient care events over six different 24 h periods on six different hospital units. Each encounter was recorded as a sequence of events and analyzed using sequence analysis and visually represented by network plots. In addition, a point prevalence microbial sample was taken from the computer on wheels (COW). RESULTS: The most touched items during patient care was the individual patient (850), bedrail (375), bed-surface (302), and bed side Table (223). Three of the top ten most common subsequences included touching PME and the patient: computer on wheels ➔ patient (62 of 274 total sequences, 22.6%, contained this sequence), patient ➔ COW (20.4%), and patient ➔ IV pump (16.1%). The network plots revealed large interconnectedness among objects in the room, the patient, PME, and the healthcare worker. CONCLUSIONS: Our results demonstrated that PME such as COW and IV pump were two of the most highly-touched items during patient care. Even with proper hand sanitization and personal protective equipment, this sequence analysis reveals the potential for contamination from the patient and environment, to a vector such as portable medical equipment, and ultimately to another patient in the hospital.

Refining and validating a conceptual model of Clinical Nurse Leader integrated care delivery.

AIMS: To empirically validate a conceptual model of Clinical Nurse Leader integrated care delivery. BACKGROUND: There is limited evidence of frontline care delivery models that consistently achieve quality patient outcomes. Clinical Nurse Leader integrated care delivery is a promising nursing model with a growing record of success. However, theoretical clarity is necessary to generate causal evidence of effectiveness. DESIGN: Sequential mixed methods. METHODS: A preliminary Clinical Nurse Leader practice model was refined and survey items developed to correspond with model domains, using focus groups and a Delphi process with a multi-professional expert panel. The survey was administered in 2015 to clinicians and administrators involved in Clinical Nurse Leader initiatives. Confirmatory factor analysis and structural equation modelling were used to validate the measurement and model structure. RESULTS: Final sample n = 518. The model incorporates 13 components organized into five conceptual domains: 'Readiness for Clinical Nurse Leader integrated care delivery'; 'Structuring Clinical Nurse Leader integrated care delivery'; 'Clinical Nurse Leader Practice: Continuous Clinical Leadership'; 'Outcomes of Clinical Nurse Leader integrated care delivery'; and 'Value'. Sample data had good fit with specified model and two-level measurement structure. All hypothesized pathways were significant, with strong coefficients suggesting good fit between theorized and observed path relationships. CONCLUSIONS: The validated model articulates an explanatory pathway of Clinical Nurse Leader integrated care delivery, including Clinical Nurse Leader practices that result in improved care dynamics and patient outcomes. The validated model provides a basis for testing in practice to generate evidence that can be deployed across the healthcare spectrum.

Clinical Nurse Leader Integrated Care Delivery to Improve Care Quality: Factors Influencing Perceived Success.

PURPOSE: Clinical nurse leader(TM) (CNL)-integrated care delivery is a new model for organizing master's-level nursing clinical leadership at the microsystem level. While there is growing evidence of improved patient care quality and safety outcomes associated with CNL practice, organizational and implementation characteristics that influence CNL success are not well characterized. The purpose of this study was to identify organization and implementation factors associated with perceived success of CNL integration into microsystem care delivery models. METHODS: A survey was developed and administered to a nationwide sample of certified CNLs and managers, leaders, educators, clinicians, and change agents involved in planning or integrating CNLs into a health system's nursing care delivery model. Items addressed organizational and implementation characteristics and perceived level of CNL initiative success. Generalized linear modeling was used to analyze data. RESULTS: The final sample included 585 respondents. The final model accounted for 35% of variance in perceived CNL initiative success, and included five variables: phase of CNL initiative, CNL practice consistency, CNL instructor or preceptor involvement, CNL reporting structure, and CNL setting ownership status. CONCLUSIONS: CNL initiative success is associated with modifiable organizational and implementation factors. CLINICAL RELEVANCE: Study findings can be used to inform the development of successful implementation strategies for CNL practice integration into care delivery models to improve care quality outcomes.

Diffusion of a Nurse-led Healthcare Innovation: Describing Certified Clinical Nurse Leader Integration Into Care Delivery.

BACKGROUND: The Clinical Nurse Leader™ (CNL) initiative is in its 2nd decade. Despite a growing theoretical and empirical body of CNL knowledge, little is known about CNLs themselves or where and how their competencies are being integrated into care delivery across the country. OBJECTIVE: The aim of this study was to describe certified CNL characteristics and roles as part of a larger study validating a model for CNL practice. METHODS: This study used a descriptive analysis of survey data from a national sample of certified CNLs. RESULTS: Survey response rate was 19%. Sixty percent have greater than 10 years of RN experience, and 75% have additional specialty certifications. Fifty-eight percent are practicing in a formal CNL role and report a high degree of accountability for all 9 CNL essential competencies. CONCLUSIONS: Findings help understand the extent of CNL adoption and spread across the country and the level to which the initial vision of CNL practice is being achieved.

Promoting a Strategic Approach to Clinical Nurse Leader Practice Integration.

The Office of Nursing Services of the Department of Veterans Affairs (VA) piloted implementation of the clinical nurse leader (CNL) into the care delivery model and established a strategic goal in 2011 to implement the CNL role across the VA health care system. The VA Office of Nursing Services CNL Implementation and Evaluation (CNL I&E) Service was created as one mechanism to facilitate that goal in response to a need identified by facility nurse executives for consultative support for CNL practice integration. This article discusses strategies employed by the CNL I&E consultative team to help facility-level nursing leadership integrate CNLs into practice. Measures of success include steady growth in CNL practice capacity as well as positive feedback from nurse executives about the value of consultative engagement. Future steps to better integrate CNL practice into the VA include consolidation of lessons learned, collaboration to strengthen the evidence base for CNL practice, and further exploration of the transformational potential of CNL practice across the care continuum.

Growing and Sustaining the Clinical Nurse Leader Initiative: Shifting the Focus From Pioneering Innovation to Evidence-Driven Integration Into Healthcare Delivery.

The Clinical Nurse Leader (CNL) initiative has been characterized by innovation. While an innovation framework for diffusing CNL practice remains relevant, generalizable evidence of effectiveness is necessary to sustain nationwide momentum. A framework is proposed in this department for a national-level CNL research collaborative linking research, policy, education, and practice stakeholders in an ongoing partnership to advance CNL evidence, education, policy, and practice.

Assessment of microbial bioburden on portable medical equipment in a hospital setting.

Objectives: Although routine disinfection of portable medical equipment is required in most hospitals, frontline staff may not be able to disinfect portable medical equipment at a rate that adequately maintains low bioburden on high-use equipment. This study quantified bioburden over an extended time period for two types of portable medical equipment, workstations on wheels and vitals machines, across three hospital wards. Methods: Bioburden was quantified via press plate samples taken from high touch surfaces on 10 workstations on wheels and 5 vitals machines on each of 3 medical surgical units. The samples were taken at three timepoints each day over a 4-week period, with random rotation of timepoints and portable medical equipment, such that frontline staff were not aware at which timepoint their portable medical equipment would be sampled. The mean bioburden from the different locations and portable medical equipment was estimated and compared with Bayesian multilevel negative binomial regression models. Results: Model estimated mean colony counts (95% credible interval) were 14.4 (7.7-26.7) for vitals machines and 29.2 (16.1-51.1) for workstations on wheels. For the workstations on wheel, colony counts were lower on the mouse, 0.22 (0.16-0.29), tray, 0.29 (0.22, 0.38), and keyboard, 0.43 (0.32-0.55), when compared to the arm, as assessed by incident rate ratios. Conclusions: Although routine disinfection is required, bioburden is still present across portable medical equipment on a variety of surfaces. The difference in bioburden levels among surfaces likely reflects differences in touch patterns for the different portable medical equipment and surfaces on the portable medical equipment. Although the association of portable medical equipment bioburden to healthcare-associated infection transmission was not assessed, this study provides evidence for the potential of portable medical equipment as a vector for healthcare-associated infection transmission despite hospital disinfection requirements.

Efficacy of a filtered far-UVC handheld disinfection device in reducing the microbial bioburden of hospital surfaces.

BACKGROUND: The filtered far-UV-C (FFUV) handheld disinfection device is a small portable device that emits far UV-C at 222 nm. The objective of this study was to evaluate the device's ability to kill microbial pathogens on hospital surfaces and compare it to manual disinfection using germicidal sodium hypochlorite wipes. METHODS: A total of 344 observations (4 observations from 86 objects' surfaces) were sampled with 2 paired samples per surface: a pre- and a post-sodium hypochlorite and FFUV sample. The results were analyzed via a Bayesian multilevel negative binomial regression model. RESULTS: The estimated mean colony counts for the sodium hypochlorite control and treatment groups were 20.5 (95% uncertainty interval: 11.7-36.0) and 0.1 (0.0-0.2) colony forming units (CFUs), respectively. The FFUV control and treatment groups had mean colony counts of 22.2 (12.5-40.1) and 4.1 (2.3-7.2) CFUs. The sodium hypochlorite group and the FFUV group had an estimated 99.4% (99.0%-99.7%) and 81.4% (76.2%-85.7%) reduction in colony counts, respectively. CONCLUSIONS: The FFUV handheld device effectively reduced the microbial bioburden on surfaces in the health care setting. The major benefit of FFUV is likely seen when manual disinfection is not possible or when supplementing cleaners or disinfectants with the low-level disinfection properties.

A pilot of a veteran suicide prevention learning collaborative among community organizations: Initial results and outcomes.

INTRODUCTION: Veteran suicide remains an ongoing public health concern in need of fresh, community-based initiatives. The Department of Veterans Affairs (VA) has built an enterprise-wide integrated behavioral health system that has pioneered numerous suicide prevention methods. However, most Veterans receive healthcare outside the VA, from organizations that may not be equipped to address Veteran suicide risk. One solution is implementing a VA/community suicide prevention learning collaborative to support organizations in implementing suicide prevention best practices for Veterans. Although learning collaboratives have a history of supporting improved patient safety in healthcare systems, to our knowledge, none have focused on Veteran suicide prevention. METHOD: The current quality improvement project sought to pilot a VA/community suicide prevention learning collaborative in the broader Denver and Colorado Springs areas with 13 organizations that served, interacted with, or employed Veterans. RESULTS: The collaborative had a large footprint in the region, with organizations interacting with over 24,000 community members and over 5000 Veterans. Organizations implemented 92 Veteran suicide prevention program components within a 16-month period. Overall, the learning collaborative made significant strides in Veteran suicide prevention. CONCLUSION: Findings suggest that this method facilitates rapid implementation of Veteran suicide prevention practices and may be promising for accelerating uptake within communities.

Effect of a "feedback prompt" from a disinfection tracking system on portable medical equipment disinfection.

BACKGROUND: Portable medical equipment (PME) may contribute to transmission of multidrug-resistant organisms without proper disinfection. We studied whether a Disinfection Tracking System (DTS) with feedback prompt, attached to PME, can increase the frequency of PME disinfection. METHODS: DTS devices were placed on 10 workstations-on-wheels (WOWs) and 5 vitals machine (VM). After a 25 day "screen-off" period, the DTS device screens were turned on to display the number of hours since the last recorded disinfection event for a 42 day period. We used a Bayesian multilevel zero-inflated negative binomial model to compare the number of events in the display "screen-off" to the "screen-on" period. RESULTS: During the "screen-off" period, there were 1.26 and 0.49 mean disinfection events and during the "screen-on" period, there were 1.76 and 0.50 mean disinfection events for WOWs and VM, respectively, per day. The model estimated mean events per device per day in the the "screen-on" period for WOW's were 1.32 (1.10 - 1.57) times greater than those in the "screen-off" period and the "screen-on" period for VM devices was 1.37 (0.89 - 2.01) times greater than those in the "screen-off" period. CONCLUSIONS: The rate of disinfection events for WOWs increased following the implementation of the DTS feedback prompt.

A study protocol to evaluate the implementation and effectiveness of the Clinical Nurse Leader Care Model in improving quality and safety outcomes.

AIMS: Patients are harmed or die every year because of unsafe, inappropriate or inadequate healthcare delivery. Registered Nurses are a recognized patient safety strategy. However, variability in research findings indicate the relationship is not as simple as "more nurses=better outcomes." Hence, currently there exists no evidence-based frontline nursing care model. One emerging model is the Clinical Nurse Leader care model. DESIGN: This Hybrid Type II Implementation-Effectiveness study will evaluate the effect of the care model on standardized quality and safety outcomes and identify implementation characteristics that are sufficient and necessary to achieve outcomes. METHODS: This study leverages a natural experiment in 66 clinical care units in nine hospitals across five states in the United States that have implemented the Clinical Nurse Leader care model. RESULTS: Findings will elucidate Registered Nurse's mechanisms of action as organized into frontline models of care and link actions to improved care quality and safety.

Capturing portable medical equipment disinfection data via an automated novel disinfection tracking system.

BACKGROUND: Portable Medical Equipment (PME) such as workstations-on-wheels (WOWs) and vital signs machines (VMs) have been linked to healthcare-associated infections. Routine visual monitoring of PME disinfection is difficult. An automated Disinfection Tracking System (DTS) was used to record and report the number of disinfection events of PME in a hospital setting. METHODS: The study was conducted in 2 acute-care units for 25-days to determine the pattern of recorded events from DTS on PME. Devices record disinfection events as moisture events and automatically store on a central database. DTS devices with "screen-on" feedback and "screen-off" devices with no display were placed on 10 WOWs and 5 VMs on separate units. RESULTS: A total of 421 moisture events were recorded for the "screen-on" and 345 for the "screen-off", during the 25-day implementation period on the 2 different hospital units. The highest number of events occurred between 6:00am-7:00am, with 69 & 75 moisture events recorded for Units 1 and 2, respectively. CONCLUSIONS: The pattern of disinfection events for WOWs and VMs demonstrated that most events occurred regularly at the times corresponding with nursing shift change. The DTS has the potential to continuously record, and report data related to PME disinfection.