Background: Unintended extubation (UE) is a serious risk associated with endotracheal intubation. In the paediatric population, UE can lead to significant patient harm. On average, each UE increases ICU and hospital length of stay by 5.5 and 6.5 days respectively and costs an additional $36 000. The international benchmark rate of UE for quality analysis cited in the literature is < 1 per 100 ventilator days. The United States organization Solutions for Patient Safety (SPS) developed and introduced a bundle to reduce UE with a goal of <= 0.95 per 100 ventilator days. Aim: The aim of this quality improvement project was to determine the baseline rate of UE in a 20-bed mixed medical/surgical PICU in the Pacific Northwest of the United States, implement the SPS bundle for UE prevention, and assess adherence to the bundle, and subsequent rate of UE. Study design: The IHI Model for Improvement Plan-Do-Study-Act (PDSA) was used to guide the development, implementation, and assessment of the SPS UE Bundle standardizing the management of endotracheal tubes. Adherence to the bundle was measured through peer-to-peer audits. Rates of adherence and UE were monitored on line charts. Results: Baseline rate of UE was 1.83 per 100 ventilator days; 23 weeks post implementation of the bundle the rate of UE was reduced to 0.38 UE per 100 ventilator days, F(7, 9) = 4.685, p = 0.027. The mean bundle adherence was 92%. Conclusions: This quality improvement initiative confirms that high adherence to the SPS UE Bundle may significantly reduce rates of UE in PICU settings.

OBJECTIVE:To increase the percentage of patients who undergo rapid magnetic resonance imaging (rMRI) rather than computed tomography (CT) for evaluation of mild traumatic brain injury (TBI) from 45% in 2020 to 80% by December 2021. STUDY DESIGN:This was a quality improvement initiative targeted to patients presenting to the pediatric emergency department presenting with mild TBI, with baseline data collected from January 2020 to December 2020. From January 2021 to August 2021, we implemented a series of improvement interventions and tracked the percentage of patients undergoing neuroimaging who received rMRI as their initial study. Balancing measures included proportion of all patients with mild TBI who underwent neuroimaging of any kind, proportion of patients requiring sedation, emergency department length of stay, and percentage with clinically important TBI. RESULTS:The utilization of rMRI increased from a baseline of 45% to a mean of 92% in the intervention period. Overall neuroimaging rates did not change significantly after the intervention (19.8 vs 23.2%, P = .24). There was no difference in need for anxiolysis (12 vs 7%, P = .30) though emergency department length of stay was marginally increased (1.4 vs 1.7 hours, P = < 0.01). CONCLUSION:In this quality improvement initiative, transition to rMRI as the primary imaging modality for the evaluation of minor TBI was achieved at a level 1 pediatric trauma center with no significant increase in overall use of neuroimaging.

Documenting surrogate decision makers (SDMs) is an important step in advance care planning (ACP) for hospitalized adults. The authors performed a quality improvement study of clinical and electronic health record (EHR) workflows aiming to increase SDM documentation for hospitalized adults. The intervention included an ACP education module, audit and feedback, as well as workflow and EHR adaptations. The authors prospectively tracked SDM documentation using control charts and used chart review to assess secondary outcome, process, and balancing measures. SDM documentation significantly increased from 69.5% to 80.2% ( P < 0.001) for intervention patients, sustained over 3 years, and was unchanged for control patients (34.6% to 36.3%; P = 0.355). There were no significant differences in secondary ACP outcomes in intervention or control patients. Clinical and EHR adaptations increased SDM documentation for hospitalized adults with minimal risk, although did not affect other ACP metrics. Future studies are needed to determine the effects of such changes on goal-concordant care.

Background: The medication-related death of a hospitalized older adult elucidated the inappropriateness of medication default doses in our electronic health record (EHR) for older adults. In response, we created and implemented the Geriatric Prescribing Context (GPC), an EHR-based set of age-specific dose and frequency defaults for patients 75 years and older, in July 2017. Inpatient medication orders aligned with GPC defaults and showed significant dose decreases at one year for nine of ten most commonly used medications. This follow-up investigation examined GPC alignment of dose and frequency over the 42-month time period after its implementation. Methods: Order data for the ten most commonly used medications at OHSU Hospital were collected retrospectively from July 2016 through December 2020. We used Statistical Process Control charts to assess the proportion of medication orders aligning with the GPC's recommendations. Signals of special cause were evaluated to identify time periods when shifts in process averages likely occurred and suspected shifts were assessed using binomial proportion tests. We used RStudio (RStudio, Inc., version 1.2.5001) and Microsoft Excel (2016) to perform statistical analyses and control charts, respectively. Results: The preimplementation phase of all medications displayed no special causes. After significant initial improvement in 2017, control charts revealed three different patterns of performance. Eight medications maintained the initial improvement with one medication displaying a second significant improvement at a later date. Two medications showed a subsequent decline in performance not statistically different from baseline. Overall, eight of the ten medications were prescribed at more age-friendly doses and frequencies compared to baseline after 42 months. Conclusions: The GPC is an effective method to support safer prescribing for hospitalized older patients, but long-term impacts may be medication-specific. Further investigation is needed to ensure appropriate prescribing across drug classes and understand the GPC's impact on patient outcomes like adverse drug events.

Introduction: Factors affecting exclusive breastfeeding rates are complex. Evaluations for early-onset sepsis can negatively impact breastfeeding success. We sought to determine whether implementing an algorithm utilizing the sepsis risk score (SRS) in chorioamnionitis-exposed newborns would increase exclusive breastfeeding rates. We collaborated with healthcare systems experts to analyze and understand our outcomes. Methods: We describe a retrospective cohort study of chorioamnionitis-exposed newborns 35 weeks and older gestation in the Mother-Baby Unit at our institution following a quality improvement project that implemented an SRS algorithm. We compared exclusive breastfeeding rates over 2 time periods, 33 months before and 15 months after SRS algorithm implementation. We completed bivariate comparisons using chi-square and Mann-Whitney U tests to understand the factors contributing to exclusive breastfeeding rates. In a secondary analysis, breastfeeding rates and demographic patterns were examined using p-charts. Results: Following algorithm implementation, exclusive breastfeeding rates increased from 49% to 58% (P = 0.10) in chorioamnionitis-exposed newborns. Factors associated with increased exclusive breastfeeding included Caucasian race, English as the primary language, private insurance, vaginal delivery, and positive group B Streptococcus status. In the secondary analysis, the proportion of non-Hispanic mothers increased from 63% to 80% during the study. Conclusions: Despite SRS implementation, exclusive breastfeeding rates increased but not significantly, and certain sociodemographic factors remain associated with exclusive breastfeeding. Secondary analysis revealed an overall demographic shift affecting the dataset, highlighting the importance of thorough data analysis when evaluating a quality improvement project.