Supporting Ambulatory Nurses Transitioning From Direct Care to Leadership: A Pilot Project.

Frontline nurse leadership is foundational to career progression and succession planning, but preparation is often limited. COVID-19 has further complicated this process by limiting access to professional development resources typically available to new leaders. This article discusses the implementation of an innovative onboarding program that combined a web-based toolkit, mentor network, and precepted shadow shifts to navigate challenges associated with the pandemic and overcome barriers to frontline nurse leader preparation in the ambulatory care setting.

Systems of communication in school-nurse led care coordination: A concept analysis.

AIM: To analyze the concept of systems of communication in school nurse-led care coordination to develop an operational definition that will inform intervention development. BACKGROUND: Communication has been identified as an essential attribute in care coordination. However, previous concept analyses of care coordination did not clearly define systems of communication or consider the context of school-based care coordination. Defining and conceptualizing systems of communication has important implications for improving school nurse-led care coordination. METHODS: Concept analysis was conducted using Walker and Avant's eight-step concept analysis method. The literature was searched to identify supporting literature that was analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. RESULTS: Systems of communication in school nurse-led care coordination can be defined as systems wherein care team members, led by the school nurse, collaborate by communicating information and knowledge through an individualized healthcare plan that is student/family-centered and shared through information systems. Attributes require developing an individual health plan that incorporates care coordination needs, information sharing with student/family consent, and a clear delineation of team member roles. Consequences include student/family outcomes, team member knowledge, and efficiency and accuracy of information. CONCLUSIONS: Concept clarification and a synthesized definition allow for more effective measurement development for effective communication in school nurse-led care coordination. Students with healthcare needs in the school environment require systems of communication that efficiently work toward school nurse-led care coordination that addresses the student's health and academic outcomes.

Value of hospital resources for effective pressure injury prevention: a cost-effectiveness analysis.

OBJECTIVE: Hospital-acquired pressure injuries are localised skin injuries that cause significant mortality and are costly. Nursing best practices prevent pressure injuries, including time-consuming, complex tasks that lack payment incentives. The Braden Scale is an evidence-based stratification tool nurses use daily to assess pressure-injury risk. Our objective was to analyse the cost-utility of performing repeated risk-assessment for pressure-injury prevention in all patients or high-risk groups. DESIGN: Cost-utility analysis using Markov modelling from US societal and healthcare sector perspectives within a 1-year time horizon. SETTING: Patient-level longitudinal data on 34 787 encounters from an academic hospital electronic health record (EHR) between 2011 and 2014, including daily Braden scores. Supervised machine learning simulated age-adjusted transition probabilities between risk levels and pressure injuries. PARTICIPANTS: Hospitalised adults with Braden scores classified into five risk levels: very high risk (6-9), high risk (10-11), moderate risk (12-14), at-risk (15-18), minimal risk (19-23). INTERVENTIONS: Standard care, repeated risk assessment in all risk levels or only repeated risk assessment in high-risk strata based on machine-learning simulations. MAIN OUTCOME MEASURES: Costs (2016 $US) of pressure-injury treatment and prevention, and quality-adjusted life years (QALYs) related to pressure injuries were weighted by transition probabilities to calculate the incremental cost-effectiveness ratio (ICER) at $100 000/QALY willingness-to-pay. Univariate and probabilistic sensitivity analyses tested model uncertainty. RESULTS: Simulating prevention for all patients yielded greater QALYs at higher cost from societal and healthcare sector perspectives, equating to ICERs of $2000/QALY and $2142/QALY, respectively. Risk-stratified follow-up in patients with Braden scores <15 dominated standard care. Prevention for all patients was cost-effective in >99% of probabilistic simulations. CONCLUSION: Our analysis using EHR data maintains that pressure-injury prevention for all inpatients is cost-effective. Hospitals should invest in nursing compliance with international prevention guidelines.

Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model.

OBJECTIVE: Hospital-acquired pressure ulcers (HAPUs) have a mortality rate of 11.6%, are costly to treat, and result in Medicare reimbursement penalties. Medicare codes HAPUs according to Agency for Healthcare Research and Quality Patient-Safety Indicator 3 (PSI-03), but they are sometimes inappropriately coded. The objective is to use electronic health records to predict pressure ulcers and to identify coding issues leading to penalties. MATERIALS AND METHODS: We evaluated all hospitalized patient electronic medical records at an academic medical center data repository between 2011 and 2014. These data contained patient encounter level demographic variables, diagnoses, prescription drugs, and provider orders. HAPUs were defined by PSI-03: stages III, IV, or unstageable pressure ulcers not present on admission as a secondary diagnosis, excluding cases of paralysis. Random forests reduced data dimensionality. Multilevel logistic regression of patient encounters evaluated associations between covariates and HAPU incidence. RESULTS: The approach produced a sample population of 21 153 patients with 1549 PSI-03 cases. The greatest odds ratio (OR) of HAPU incidence was among patients diagnosed with spinal cord injury (ICD-9 907.2: OR = 14.3; P < .001), and 71% of spinal cord injuries were not properly coded for paralysis, leading to a PSI-03 flag. Other high ORs included bed confinement (ICD-9 V49.84: OR = 3.1, P < .001) and provider-ordered pre-albumin lab (OR = 2.5, P < .001). DISCUSSION: This analysis identifies spinal cord injuries as high risk for HAPUs and as being often inappropriately coded without paralysis, leading to PSI-03 flags. The resulting statistical model can be tested to predict HAPUs during hospitalization. CONCLUSION: Inappropriate coding of conditions leads to poor hospital performance measures and Medicare reimbursement penalties.

Increased Adoption of Quality Improvement Interventions to Implement Evidence-Based Practices for Pressure Ulcer Prevention in U.S. Academic Medical Centers.

OBJECTIVE: In 2008, the U.S. Centers for Medicare and Medicaid Services enacted a nonpayment policy for stage III and IV hospital-acquired pressure ulcers (HAPUs), which incentivized hospitals to improve prevention efforts. In response, hospitals looked for ways to support implementation of evidence-based practices for HAPU prevention, such as adoption of quality improvement (QI) interventions. The objective of this study was to quantify adoption patterns of QI interventions for supporting evidence-based practices for HAPU prevention. METHODS: This study surveyed wound care specialists working at hospitals within the University HealthSystem Consortium. A questionnaire was used to retrospectively describe QI adoption patterns according to 25 HAPU-specific QI interventions into four domains: leadership, staff, information technology (IT), and performance and improvement. Respondents indicated QI interventions implemented between 2007 and 2012 to the nearest quarter and year. Descriptive statistics defined patterns of QI adoption. A t-test and statistical process control chart established statistically significant increase in adoption following nonpayment policy enactment in October 2008. Increase are described in terms of scope (number of QI domains employed) and scale (number of QI interventions within domains). RESULTS: Fifty-three of the 55 hospitals surveyed reported implementing QI interventions for HAPU prevention. Leadership interventions were most frequent, increasing in scope from 40% to 63% between 2008 and 2012; "annual programs to promote pressure ulcer prevention" showed the greatest increase in scale. Staff interventions increased in scope from 32% to 53%; "frequent consult driven huddles" showed the greatest increase in scale. IT interventions increased in scope from 31% to 55%. Performance and improvement interventions increased in scope from 18% to 40%, with "new skin care products . . ." increasing the most. LINKING EVIDENCE TO ACTION: Academic medical centers increased adoption of QI interventions following changes in nonpayment policy. These QI interventions supported adherence to implementation of pressure ulcer prevention protocols. Changes in payment policies for prevention are effective in QI efforts.

Factors Influencing Adoption of Hospital-Acquired Pressure Ulcer Prevention Programs in US Academic Medical Centers.

PURPOSE: Recent data show a decrease in hospital-acquired pressure ulcers (PUs) throughout US hospitals; these changes may be associated with increased success in implementing evidence-based practices for PU prevention. The purpose of this study was to identify wound care nurse perceptions of the primary factors that influenced the overall reduction of PUs. DESIGN: Cross-sectional descriptive survey. SUBJECTS AND SETTING: Surveys were sent to wound care nurses at 98 University HealthSystem Consortium (UHC) hospitals. The UHC consists of more than 120 academic medical centers and affiliated facilities across the United States. Responses solicited from this survey represented a geographically diverse set of hospitals from less than 200 beds to more than 1000 beds. INSTRUMENT: The survey questionnaire used a framework of 7 internal and 5 external influential factors for implementing evidence-based practices for PU prevention. Internal influential factors queried included availability of nurse specialists, high nursing job turnover, high PU rates, and prevention campaigns. External influential factors included data sharing, Medicare nonpayment policy, and applications for Magnet recognition. METHODS: Hospital-acquired PU prevention experts at UHC hospitals were contacted through the Wound, Ostomy and Continence Nurses Society membership directory to complete the questionnaire. Consenting participants were e-mailed a disclosure and online questionnaire; they were also sent monthly reminders until they either responded to the survey or declined participation. RESULTS: Fifty-five respondents (59% response rate) indicated several internal factors that influenced evidence-based practice: hospital prevention campaigns; the availability of nursing specialists; and the level of preventive knowledge among hospital staff. External influential factors included financial concerns; application for Magnet recognition; data sharing among peer institutions; and regulatory issues. CONCLUSIONS: These findings suggest that the Centers for Medicare & Medicaid Services nonpayment policy influenced a large majority of hospital's changes in practice. The availability of nursing specialists for wound consult influenced hospitals internally. These factors are informative of the impact policy has on changes in hospital prioritization of adopting evidence-based practices for PU prevention.

Comparative effectiveness of quality improvement interventions for pressure ulcer prevention in academic medical centers in the United States.

BACKGROUND: Prevention of pressure ulcers, one of the hospital-acquired conditions (HACs) targeted by the 2008 nonpayment policy of the Centers for Medicare & Medicaid Services (CMS), is a critical issue. This study was conducted to determine the comparative effectiveness of quality improvement (QI) interventions associated with reduced hospital-acquired pressure ulcer (HAPU) rates. METHODS: In an quasi-experimental design, interrupted time series analyses were conducted to determine the correlation between HAPU incidence rates and adoption of QI interventions. Among University HealthSystem Consortium hospitals, 55 academic medical centers were surveyed from September 2007 through February 2012 for adoption patterns of QI interventions for pressure ulcer prevention, and hospital-level data for 5,208 pressure ulcer cases were analyzed. Between- and within-hospital reduction significance was tested with t-tests post-CMS policy intervention. RESULTS: Fifty-three (96%) of the 55 hospitals used QI interventions for pressure ulcer prevention. The effect size analysis identified five effective interventions that each reduced pressure ulcer rates by greater than 1 case per 1,000 patient discharges per quarter: leadership initiatives, visual tools, pressure ulcer staging, skin care, and patient nutrition. The greatest reductions in rates occurred earlier in the adoption process (p<.05). CONCLUSIONS: Five QI interventions had clinically meaningful associations with reduced stage III and IV HAPU incidence rates in 55 academic medical centers. These QI interventions can be used in support of an evidence-based prevention protocol for pressure ulcers. Hospitals can not only use these findings from this study as part of a QI bundle for preventing HAPUs.

Hospital-Acquired Pressure Ulcers at Academic Medical Centers in the United States, 2008-2012: Tracking Changes Since the CMS Nonpayment Policy.

BACKGROUND: In 2007, the Centers for Medicare & Medicaid Services (CMS) announced its intention to no longer reimburse hospitals for costs associated with hospital-acquired pressure ulcers (HAPUs) and a list of other hospital-acquired conditions (HACs), which was followed by enactment of the nonpayment policy in October 2008. This study was conducted to define changes in HAPU incidence and variance since 2008. METHODS: In a retrospective observational study, HAPU cases were identified at 210 University HealthSystem Consortium (UHC) academic medical centers in the United States. HAPU incidence rates were calculated as a ratio of HAPU cases to the total number of UHC inpatients between the first quarter of 2008 and the second quarter of 2012. HAPU cases were defined by multiple criteria: not present on admission (POA); coded for stage III or IV pressure ulcers; and a length of stay greater than four days. RESULTS: Among the UHC hospitals between 2008 and June 2012, 10,386 HAPU cases were identified among 4.08 million inpatients. The HAPU incidence rate decreased significantly from 11.8 cases per 1,000 inpatients in 2008 to 0.8 cases per 1,000 in 2012 (p < .001; 95% confidence interval: 8.39-8.56). Among HAPU cases were trends of more elderly patients, greater case-mix index, and more surgical cases. The analysis of covariance model identified CMS non-payment policy as a significant covariate of changing trends in HAPU incidence rates. CONCLUSIONS: HAPU incidence rates decreased significantly among 210 UHC AMCs after the enactment of the CMS nonpayment policy. The hospitals appeared to be reacting efficiently to economic policy incentives by improving prevention efforts.

A framework of quality improvement interventions to implement evidence-based practices for pressure ulcer prevention.

PURPOSE: To enhance the learner's competence with knowledge about a framework of quality improvement (QI) interventions to implement evidence-based practices for pressure ulcer (PrU) prevention. TARGET AUDIENCE: This continuing education activity is intended for physicians and nurses with an interest in skin and wound care. OBJECTIVES: After participating in this educational activity, the participant should be better able to:1. Summarize the process of creating and initiating the best-practice framework of QI for PrU prevention.2. Identify the domains and QI interventions for the best-practice framework of QI for PrU prevention. Pressure ulcer (PrU) prevention is a priority issue in US hospitals. The National Pressure Ulcer Advisory Panel endorses an evidence-based practice (EBP) protocol to help prevent PrUs. Effective implementation of EBPs requires systematic change of existing care units. Quality improvement interventions offer a mechanism of change to existing structures in order to effectively implement EBPs for PrU prevention. The best-practice framework developed by Nelson et al is a useful model of quality improvement interventions that targets process improvement in 4 domains: leadership, staff, information and information technology, and performance and improvement. At 2 academic medical centers, the best-practice framework was shown to physicians, nurses, and health services researchers. Their insight was used to modify the best-practice framework as a reference tool for quality improvement interventions in PrU prevention. The revised framework includes 25 elements across 4 domains. Many of these elements support EBPs for PrU prevention, such as updates in PrU staging and risk assessment. The best-practice framework offers a reference point to initiating a bundle of quality improvement interventions in support of EBPs. Hospitals and clinicians tasked with quality improvement efforts can use this framework to problem-solve PrU prevention and other critical issues.

Improving the quality of pressure ulcer care with prevention: a cost-effectiveness analysis.

BACKGROUND: In October 2008, Centers for Medicare and Medicaid Services discontinued reimbursement for hospital-acquired pressure ulcers (HAPUs), thus placing stress on hospitals to prevent incidence of this costly condition. OBJECTIVE: To evaluate whether prevention methods are cost-effective compared with standard care in the management of HAPUs. RESEARCH DESIGN AND SUBJECTS: A semi-Markov model simulated the admission of patients to an acute care hospital from the time of admission through 1 year using the societal perspective. The model simulated health states that could potentially lead to an HAPU through either the practice of "prevention" or "standard care." Univariate sensitivity analyses, threshold analyses, and Bayesian multivariate probabilistic sensitivity analysis using 10,000 Monte Carlo simulations were conducted. MEASURES: Cost per quality-adjusted life-years (QALYs) gained for the prevention of HAPUs. RESULTS: Prevention was cost saving and resulted in greater expected effectiveness compared with the standard care approach per hospitalization. The expected cost of prevention was $7276.35, and the expected effectiveness was 11.241 QALYs. The expected cost for standard care was $10,053.95, and the expected effectiveness was 9.342 QALYs. The multivariate probabilistic sensitivity analysis showed that prevention resulted in cost savings in 99.99% of the simulations. The threshold cost of prevention was $821.53 per day per person, whereas the cost of prevention was estimated to be $54.66 per day per person. CONCLUSION: This study suggests that it is more cost effective to pay for prevention of HAPUs compared with standard care. Continuous preventive care of HAPUs in acutely ill patients could potentially reduce incidence and prevalence, as well as lead to lower expenditures.