<p><strong>BACKGROUND AND OBJECTIVES: </strong>Home nursing is essential for children with medical complexity (CMC), but provision varies substantially across states. Our objectives were to quantify state-to-state variability in distribution of posthospitalization home nursing to commercially insured CMC and to rank-order states.</p>
<p><strong>METHODS: </strong>Retrospective cohort study of hospitalized commercially insured children with ≥1 complex chronic condition from birth to 18 years of age in the Truven MarketScan database. Cohort eligibility criteria were hospital discharge between January 2013 and November 2016 and at least 30 days of follow-up after discharge. Two primary outcome measures were used: receipt of any home nursing within 30 days of hospital discharge (yes or no) and number of days of posthospitalization home nursing (1-30 days). A composite metric encompassing both receipt and quantity was created by evaluating the 95th percentile of days of home nursing (0-30 days).</p>
<p><strong>RESULTS: </strong>Overall, 9.9% of the sample received home nursing. After we adjusted for patient characteristics, the probability of receiving home nursing varied across states, ranging from 3.4% to 19.2%. Among home nursing recipients, the adjusted median home nursing days across states ranged from 6.6 to 24.5 days. The adjusted 95th percentile of days of home nursing (across the entire of sample, including recipients and nonrecipients of home nursing) ranged from 6.8 to 22.6 days.</p>
<p><strong>CONCLUSIONS: </strong>We observed striking state-to-state variability in receipt of home nursing and mean number of days of posthospitalization home nursing among commercially insured CMC after adjustment for demographic and clinical differences. This suggests opportunities for state-level improvement.</p>
<p><strong>Background: </strong>Deimplementation, the systematic elimination of low-value practices, has emerged as an important focus within implementation science. Bronchiolitis is the leading cause of infant hospitalization. Among stable inpatients with bronchiolitis who do not require supplemental oxygen, continuous pulse oximetry monitoring is recognized as an overused, low-value practice in pediatric hospital medicine. There is strong scientific evidence and practice guideline support for limiting pulse oximetry monitoring of stable children with bronchiolitis who do not require supplemental oxygen, yet the practice remains common. This study aims to (1) characterize the extent of this overuse in hospitals located in the USA and Canada, (2) identify barriers and facilitators of successful deimplementation of continuous pulse oximetry monitoring in bronchiolitis, and (3) develop consensus strategies for large-scale deimplementation. In addition to identifying feasible strategies for deimplementation, this study will test the feasibility of data collection approaches to be employed in a large-scale deimplementation trial.</p>
<p><strong>Methods: </strong>This multicenter study will be performed in approximately 38 hospitals in the Pediatric Research in Inpatient Settings Network. In Aim 1, we will determine the rate of overuse within each hospital by performing repeated cross-sectional observational sampling of continuous pulse oximetry monitoring of stable bronchiolitis patients age 8 weeks through 23 months who do not require supplemental oxygen. In Aim 2, we will use the Consolidated Framework for Implementation Research (CFIR) as a framework for semi-structured interviews with key stakeholders (physician, nurse, respiratory therapist, administrator, and parent) at the highest- and lowest-overuse hospitals to understand barriers and facilitators of continuous pulse oximetry monitoring deimplementation. In Aim 3, we will use a theory-based causal model to match the identified barriers and facilitators to potential strategies for deimplementation. Candidate strategies will be discussed with a panel of stakeholders from hospitals with high rates of overuse to assess feasibility and acceptability. A questionnaire ranking strategies based on feasibility, acceptability, and impact will be administered to a broader group of stakeholders to arrive at consensus about promising strategies for large-scale deimplementation to be tested in a subsequent trial.</p>
<p><strong>Discussion: </strong>Effective strategies for deimplementing continuous pulse oximetry monitoring of stable patients with bronchiolitis have not been well characterized. The findings of this study will provide further understanding of factors that facilitate deimplementation in pediatric hospital settings and provide pilot and feasibility data to inform a trial of large-scale deimplementation of this overused practice.</p>
<p><strong>Trial registration: </strong>Not applicable. This study does not meet the World Health Organization definition of a clinical trial.</p>
<p><strong>Objective: </strong>Electronic health record (EHR) simulation with realistic test patients has improved recognition of safety concerns in test environments. We assessed if simulation affects EHR use patterns in real clinical settings.</p>
<p><strong>Materials and Methods: </strong>We created a 1-hour educational intervention of a simulated admission for pediatric interns. Data visualization and information retrieval tools were introduced to facilitate recognition of the patient's clinical status. Using EHR audit logs, we assessed the frequency with which these tools were accessed by residents prior to simulation exposure (intervention group, pre-simulation), after simulation exposure (intervention group, post-simulation), and among residents who never participated in simulation (control group).</p>
<p><strong>Results: </strong>From July 2015 to February 2017, 57 pediatric residents participated in a simulation and 82 did not. Residents were more likely to use the data visualization tool after simulation (73% in post-simulation weeks vs 47% of combined pre-simulation and control weeks, P <. 0001) as well as the information retrieval tool (85% vs 36%, P < .0001). After adjusting for residents' experiences measured in previously completed inpatient weeks of service, simulation remained a significant predictor of using the data visualization (OR 2.8, CI: 2.1-3.9) and information retrieval tools (OR 3.0, CI: 2.0-4.5). Tool use did not decrease in interrupted time-series analysis over a median of 19 (IQR: 8-32) weeks of post-simulation follow-up.</p>
<p><strong>Discussion: </strong>Simulation was associated with persistent changes to EHR use patterns among pediatric residents.</p>
<p><strong>Conclusion: </strong>EHR simulation is an effective educational method that can change participants' use patterns in real clinical settings.</p>