Our improvement intervention was associated with significant and rapid reduction in electrolyte testing and has not been associated with unintended adverse events.

Background Methods of sustaining the deimplementation of overused medical practices (i.e., practices not supported by evidence) are understudied. In pediatric hospital medicine, continuous pulse oximetry monitoring of children with the common viral respiratory illness bronchiolitis is recommended only under specific circumstances. Three national guidelines discourage its use for children who are not receiving supplemental oxygen, but guideline-discordant practice (i.e., overuse) remains prevalent. A 6-hospital pilot of educational outreach with audit and feedback resulted in immediate reductions in overuse; however, the best strategies to optimize sustainment of deimplementation success are unknown. Methods The Eliminating Monitor Overuse (EMO) trial will compare two deimplementation strategies in a hybrid type III effectiveness-deimplementation trial. This longitudinal cluster-randomized design will be conducted in Pediatric Research in Inpatient Settings (PRIS) Network hospitals and will include baseline measurement, active deimplementation, and sustainment phases. After a baseline measurement period, 16–19 hospitals will be randomized to a deimplementation strategy that targets unlearning (educational outreach with audit and feedback), and the other 16–19 will be randomized to a strategy that targets unlearning and substitution (adding an EHR-integrated clinical pathway decision support tool). The primary outcome is the sustainment of deimplementation in bronchiolitis patients who are not receiving any supplemental oxygen, analyzed as a longitudinal difference-in-differences comparison of overuse rates across study arms. Secondary outcomes include equity of deimplementation and the fidelity to, and cost of, each deimplementation strategy. To understand how the deimplementation strategies work, we will test hypothesized mechanisms of routinization (clinicians developing new routines supporting practice change) and institutionalization (embedding of practice change into existing organizational systems). Discussion The EMO trial will advance the science of deimplementation by providing new insights into the processes, mechanisms, costs, and likelihood of sustained practice change using rigorously designed deimplementation strategies. The trial will also advance care for a high-incidence, costly pediatric lung disease. Trial registration ClinicalTrials.gov,NCT05132322. Registered on November 10, 2021.

BACKGROUND: High costs of hospitalization may contribute to financial difficulties for some families. OBJECTIVE: To examine the prevalence of financial distress and medical financial burden in families of hospitalized children and identify factors that can predict financial difficulties. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional survey of parents of hospitalized children at six children’s hospitals between October 2017 and November 2018. MAIN OUTCOMES AND MEASURES: The outcomes were high financial distress and medical financial burden. Multivariable logistic regression identified predictors of each outcome. The primary predictor variable was level of chronic disease (complex chronic disease, C-CD; noncomplex chronic disease, NC-CD; no chronic disease, no-CD). RESULTS: Of 644 invited participants, 526 (82%) were enrolled, with 125 (24%) experiencing high financial distress, and 160 (30%) reporting medical financial burden. Of those, 86 (54%) indicated their medical financial burden was caused by costs associated with their hospitalized child. Neither C-CD nor NC-CD were associated with high financial distress. Child-related medical financial burden was associated with both C-CD and NC-CD (adjusted odds ratio [AOR], 4.98; 95% CI, 2.41-10.29; and AOR, 2.57; 95% CI, 1.11-5.93), compared to no-CD. Although household poverty level was associated with both measures, financial difficulties occurred in all family income brackets. CONCLUSION: Financial difficulties are common in families of hospitalized children. Low-income families and those who have children with chronic conditions are at particular risk; however, financial difficulties affect all subsets of the pediatric population. Hospitalization may be a prime opportunity to identify and engage families at risk for financial distress and medical financial burden.

In this second article in the quality improvement (QI) methods series, we discuss how data are best displayed and analyzed in QI projects while focusing on some similarities with and differences from traditional clinical research. We demonstrate why displaying data over time on a run or control chart is superior to using pre-post analysis for QI studies. We introduce several types of statistical process control charts for data commonly collected during QI programs and provide guidance on how to use the proper chart. Last, we present solutions to several common data challenges in QI projects.