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.

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.

Diagnostic performance of DNA probe-based and PCR-based molecular vaginitis testing.

Vaginitis is usually diagnosed empirically, microscopically, via cultures, or by molecular testing for the detection of bacterial vaginosis (BV), vulvovaginal candidiasis (VVC), or Trichomonas vaginalis (TV). The DNA probe-based technique detects BV by identifying Gardnerella vaginalis, VVC by identifying Candida spp., while real-time PCR-based detection methods identify BV by algorithmic analysis of the absence or presence of known vaginal flora. We examined 8,878 total orders placed for DNA probe-based identification (ID) and 10,464 total orders placed for molecular panel ID. We found that PCR-based BV test positivity reduced from 30% to 23% compared with the population tested with DNA probe-based testing. We also found that PCR-based testing VVC positivity increased from 6.3% and 11.6% when compared with DNA probe-based testing. Bayesian generalized linear analysis estimated a lower mean proportion of positive tests for BV in PCR-based molecular panels than DNA probe testing suggesting an under-call of BV. The same models estimated a higher mean proportion of positive tests for molecular vaginal panels than DNA probe testing suggesting an increased detection of candidal vaginitis. In addition, the mean (SD) age for patients with Candida albicans was 40.5 (40.0-41.1) years. Patients with Candida glabrata (now N. glabrata) were 5.2-8.1 (mean 6.7) years older than patients with Candida albicans. Our retrospective data analysis found that BD Max MVP's ability to discriminate between vaginal candidiasis versus other yeast will help to implement CDC (Centers for Disease Control and Prevention)-recommended treatment options. We also believe that providers' inattention to non-albicans treatment could be an issue nationwide. IMPORTANCE Using retrospective data from U.S. Food and Drug Administration-approved/cleared molecular vaginal panels, molecular methods were found to have higher detection for Candida vaginitis and lower detection for bacterial vaginitis when compared to probe-based methods. In addition, the differentiation of Candida and non-Candida yeast has not reached the physician community as we observed noncompliance in recommended therapy. Furthermore, the pros and cons of migrating to molecular testing from conventional microscopy for identifying bacterial vaginitis and fungal vaginitis have been examined and reported in this paper. Interestingly, the mean (SD) age for patients with Candida albicans was 40.5 (40.0-41.1) years. Patients with N. glabrata were 5.2-8.1 (mean 6.7) years older than patients with Candida albicans.

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.

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.

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.

The alcohol detoxification protocol and creation of the e-consult at Central Texas Veterans health care system.

Within the Central Texas Veterans Health Care System, the alcohol-related disorder readmission rate has been recognized as an area that needs improvement. The aim of this quality improvement initiative was to develop an alcohol detoxification protocol. This protocol assesses the need for inpatient vs outpatient management of alcohol withdrawal and provides guidance pertaining to medication options, with emphasis on prescribing gabapentin for treatment of alcohol withdrawal. The protocol also contains the alcohol detox e-consult, which prompts a physician to call the patient daily to assess alcohol withdrawal, ability to abstain from alcohol, medication compliance, interest in substance abuse treatment programs, and appropriate follow-up. After implementing the protocol and e-consult, we saw a reduction in the admission rate of alcohol-related disorders and patients found the consult helpful.

Efficacy of pulsed-xenon ultraviolet light on reduction of Mycobacterium fortuitum.

OBJECTIVES: Hospitals and healthcare facilities rely largely on isolation and environmental disinfection to prevent transmission of pathogens. The use of no-touch technology is an accepted practice for environmental decontamination in medical care facilities, but little has been published about the effect of ultraviolet light generated by a portable pulsed-xenon device use on Mycobacteria. We used Mycobacterium fortuitum which is more resistant to ultraviolet radiation and less virulent than Mycobacterium tuberculosis, to determine the effectiveness of portable pulsed-xenon devices on Mycobacterium in a laboratory environment. METHODS: To determine the effectiveness of pulsed-xenon devices, we measured the bactericidal effect of pulsed-xenon devices on Mycobacterium fortuitum. RESULTS: In five separate experiments irradiating an average of 106 organisms, the mean (standard deviation) log-kill at 5 min was 3.98 (0.60), at 10 min was 4.96 (0.42), and at 15 min was 5.64 (0.52). CONCLUSIONS: Our results demonstrate that using pulsed-xenon devices is a highly effective modality to reduce microbial counts with this relatively ultraviolet germicidal irradiation-resistant mycobacterium in a time-dependent manner.

Engaging inner city middle school students in development of an energy expenditure food label.

Using food labels can be an important component of maintaining healthy weight, but young adolescents are unlikely to have the requisite skills to make use of food labeling information. Our objectives were to determine knowledge about calories and comprehension and use of the Nutrition Facts Panel among a group of inner city African-American and Hispanic middle school students, and to engage the students in refining a Calorie Converter energy expenditure food label. We used quantitative and qualitative methods including questionnaires, focus groups, and hands-on graphic design activities. Correctly defining the word "calorie" was associated with correct answers to three of four questions requiring interpretation of the Nutrition Facts Panel [χ(2)(1, 138, p < .05) = 4.56, 4.14, and 5.61.] We incorporated students' design and content modifications for the Calorie Converter label, and the majority indicated that the energy expenditure label would influence their food selection practices.