Accelerating improvement: The Pediatric Acute Care Cardiology Collaborative data timeliness project.

BACKGROUND: The Pediatric Acute Care Cardiology Collaborative (PAC3) is a learning network focused on improving acute care cardiology patient outcomes. Data submission timeliness is a vulnerability for PAC3 and most clinical registries, directly affecting collaborative benchmarking, quality improvement (QI) and research projects. OBJECTIVE: PAC3 conducted a collaborative-wide QI project addressing data timeliness and efficiency. Data analysis of submitted cases from September 2019 to February 2020 revealed nine 'High Performer' centers who submitted cases within 67 days of hospital discharge (the limit for timeliness) >90% of the time and eight 'High Potential' sites who submitted timely cases <75% of the time. The primary aim was to increase case submission timeliness in 'High Potential' centers from 41% to 80% by December 2020. The secondary aim was to maintain timeliness in 'High Performer' sites. METHOD: During the intervention phase (March-December 2020), plan-do-study-act (PDSA) cycles included webinars, facilitated exploratory conversations, data review and development of a best practice guide ('Getting Started Toolkit'). On-boarded 'New Centers' starting in 2020 were also invited to test intervention effectiveness. Balancing measures included data collector job satisfaction and stress and resubmission rates. RESULTS: 'High Performer' and 'High Potential' centers submitted 11 358 cases from November 2019 to December 2020. Timely submission rates for 'High Potential' centers improved from 40.6% to 74.6% and were maintained at >90% for 'High Performer' centers. 'New Centers' averaged 92.6% timely case submissions during their first 6 months. Data collector job satisfaction and stress were not impacted, and the resubmission rates did not increase. CONCLUSION: PAC3's multicenter QI project increased data submission timeliness in a large pediatric subspecialty registry. The lessons learned and the Toolkit developed can be applied in other registries to improve data submission efficiency, with resultant improvement in benchmarking, QI, research, length of stay and outcomes.

High Acuity Therapy Variation Across Pediatric Acute Care Cardiology Units: Results from the Pediatric Acute Care Cardiology Collaborative Hospital Surveys.

We utilized the multicenter Pediatric Acute Care Cardiology Collaborative (PAC3) 2017 and 2019 surveys to describe practice variation in therapy availability and changes over a 2-year period. A high acuity therapies (ATs) score was derived (1 point per positive response) from 44 survey questions and scores were compared to center surgical volume. Of 31 centers that completed the 2017 survey, 26 also completed the 2019 survey. Scores ranged from 11 to 34 in 2017 and 11 to 35 in 2019. AT scores in 2019 were not statistically different from 2017 scores (29/44, IQR 27-32.5 vs. 29.5/44, IQR 27-31, p = 0.9). In 2019, more centers reported initiation of continuous positive airway pressure (CPAP) and Bi-level positive airway pressure (BiPAP) in Acute Care Cardiology Unit (ACCU) (19/26 vs. 4/26, p < 0.001) and permitting continuous CPAP/BiPAP (22/26 vs. 14/26, p = 0.034) compared to 2017. Scores in both survey years were significantly higher in the highest surgical volume group compared to the lowest, 33 ± 1.5 versus 25 ± 8.5, p = 0.046 and 32 ± 1.7 versus 23 ± 5.5, p = 0.009, respectively. Variation in therapy within the ACCUs participating in PAC3 presents an opportunity for shared learning across the collaborative. Experience with PAC3 was associated with increasing available respiratory therapies from 2017 to 2019. Whether AT scores impact the quality and outcomes of pediatric acute cardiac care will be the subject of further investigation using a comprehensive registry launched in early 2019.

Collective quality improvement in the paediatric cardiology acute care unit: establishment of the Pediatric Acute Care Cardiology Collaborative (PAC3).

Collaborative quality improvement and learning networks have amended healthcare quality and value across specialities. Motivated by these successes, the Pediatric Acute Care Cardiology Collaborative (PAC3) was founded in late 2014 with an emphasis on improving outcomes of paediatric cardiology patients within cardiac acute care units; acute care encompasses all hospital-based inpatient non-intensive care. PAC3 aims to deliver higher quality and greater value care by facilitating the sharing of ideas and building alignment among its member institutions. These aims are intentionally aligned with the work of other national clinical collaborations, registries, and parent advocacy organisations. The mission and early work of PAC3 is exemplified by the formal partnership with the Pediatric Cardiac Critical Care Consortium (PC4), as well as the creation of a clinical registry, which links with the PC4 registry to track practices and outcomes across the entire inpatient encounter from admission to discharge. Capturing the full inpatient experience allows detection of outcome differences related to variation in care delivered outside the cardiac ICU and development of benchmarks for cardiac acute care. We aspire to improve patient outcomes such as morbidity, hospital length of stay, and re-admission rates, while working to advance patient and family satisfaction. We will use quality improvement methodologies consistent with the Model for Improvement to achieve these aims. Membership currently includes 36 centres across North America, out of which 26 are also members of PC4. In this report, we describe the development of PAC3, including the philosophical, organisational, and infrastructural elements that will enable a paediatric acute care cardiology learning network.

Successful Reduction of Postoperative Chest Tube Duration and Length of Stay After Congenital Heart Surgery: A Multicenter Collaborative Improvement Project.

Background Congenital heart disease practices and outcomes vary significantly across centers, including postoperative chest tube (CT) management, which may impact postoperative length of stay (LOS). We used collaborative learning methods to determine whether centers could adapt and safely implement best practices for CT management, resulting in reduced postoperative CT duration and LOS. Methods and Results Nine pediatric heart centers partnered together through 2 learning networks. Patients undergoing 1 of 9 benchmark congenital heart operations were included. Baseline data were collected from June 2017 to June 2018, and intervention-phase data were collected from July 2018 to December 2019. Collaborative learning methods included review of best practices from a model center, regular data feedback, and quality improvement coaching. Center teams adapted CT removal practices (eg, timing, volume criteria) from the model center to their local resources, practices, and setting. Postoperative CT duration in hours and LOS in days were analyzed using statistical process control methodology. Overall, 2309 patients were included. Patient characteristics did not differ between the study and intervention phases. Statistical process control analysis showed an aggregate 15.6% decrease in geometric mean CT duration (72.6 hours at baseline to 61.3 hours during intervention) and a 9.8% reduction in geometric mean LOS (9.2 days at baseline to 8.3 days during intervention). Adverse events did not increase when comparing the baseline and intervention phases: CT replacement (1.8% versus 2.0%, P=0.56) and readmission for pleural effusion (0.4% versus 0.5%, P=0.29). Conclusions We successfully lowered postoperative CT duration and observed an associated reduction in LOS across 9 centers using collaborative learning methodology.

Intensive Care Unit and Acute Care Unit Length of Stay After Congenital Heart Surgery.

BACKGROUND: Postoperative length of stay (LOS) is an important quality metric and is known to vary widely across hospitals after congenital heart surgery. Whether this variability is explained by factors associated with the intensive care unit (ICU) or acute care unit (ACU) remains unclear. We evaluated the relationship between ICU and ACU LOS and the impact of ACU characteristics on postoperative LOS. METHODS: Hospitalizations for congenital heart surgery within the Pediatric Cardiac Critical Care Consortium (PC4) registry (August 2014 to February 2018) were included. Models were developed for ICU, ACU, and postoperative LOS by adjusting for differences in case-mix across hospitals. PC4 hospitals participating in the Pediatric Acute Care Cardiology Collaborative (PAC3) were also surveyed on ACU organizational factors and practice patterns. RESULTS: Overall, 19,674 hospitalizations across 27 hospitals were included. There was significant variation in ICU and ACU LOS. Postperative LOS appeared to be most closely related to ICU LOS; 75% (6 of 8) of hospitals with shorter than expected postoperative LOS also had shorter than expected ICU LOS. A clear relationship between postoperative and ACU LOS was not observed. Hospitals with an ACU able to provide higher-acuity care as indexed according to the PAC3 survey were more likely to have shorter postoperative LOS (P < .01). CONCLUSIONS: For hospitals that achieve shorter than expected postoperative LOS after congenital heart surgery, ICU LOS appears to be the primary driver. Higher-acuity resources in the ACU may be an important factor facilitating earlier transfer from the ICU. These data are key to informing quality improvement initiatives geared toward reducing postoperative LOS.

Center Variation in Chest Tube Duration and Length of Stay After Congenital Heart Surgery.

BACKGROUND: Nearly every child undergoing congenital heart surgery has chest tubes placed intraoperatively. Center variation in removal practices and impact on outcomes has not been well described. This study evaluated variation in chest tube management practices and outcomes across centers. METHODS: The study included patients undergoing any of 10 benchmark operations from June 2017 to May 2018 at participating Pediatric Acute Care Cardiology Collaborative (PAC3) and Pediatric Cardiac Critical Care Consortium (PC4) centers. Clinical data from PC4 centers were merged with chest tube data from PAC3 centers. Practices and outcomes were compared across centers in univariate and multivariable analysis. RESULTS: The cohort included 1029 patients (N = 9 centers). Median chest tube duration varied significantly across centers for 9 of 10 benchmark operations (all P ≤ .03), with a "model" center noted to have the shortest duration for 9 of 10 operations (range, 27.9% to 87.4% shorter duration vs other centers across operations). This effect persisted in multivariable analysis (P < .0001). The model center had higher volumes of chest tube output before removal (median, 8.5 mL/kg/24 h [model] vs 2.2 mL/kg/24 h [other centers]; P < .001], but it did not have higher rates of chest tube reinsertion (model center 1.3% vs 2.1%; P = .59) or readmission for pleural effusion (model center 4.4% vs 3.0%; P = .31), and had the shortest length of stay for 7 of 10 operations. CONCLUSIONS: This study suggests significant center variation in chest tube removal practices and associated outcomes after congenital heart surgery. Best practices used at the model center have informed the design of an ongoing collaborative learning project aimed at reducing chest tube duration and length of stay.

Variation in care practices across pediatric acute care cardiology units: Results of the Pediatric Acute Care Cardiology Collaborative (PAC3 ) hospital survey.

BACKGROUND: The Pediatric Acute Care Cardiology Collaborative (PAC3 ) was established in 2014 to improve the quality, value, and experience of hospital-based cardiac acute care outside of the intensive care unit. An initial PAC3 project was a comprehensive survey to understand unit structure, practices, and resource utilization across the collaborative. This report aims to describe the previously unknown degree of practice variation across member institutions. METHODS: A 126-stem question survey was developed with a total of 412 possible response fields across nine domains including demographics, staffing, available resources and therapies, and standard care practices. Five supplemental questions addressed surgical case volume and number of cardiac acute care unit (CACU) admissions. Responses were recorded and stored in Research Electronic Data Capture (REDCap). RESULTS: Surveys were completed by 31 out of 34 centers (91%) with minimal incomplete fields. A majority (61%) of centers have a single dedicated CACU, which is contiguous or adjacent to the intensive care unit in 48%. A nurse staffing ratio of 3:1 is most common (71%) and most (84%) centers employed a resource nurse. Centralized wireless rhythm monitoring is used in 84% of centers with 54% staffed continuously. There was significant variation in the use of noninvasive respiratory support, vasoactive infusions, and ventricular assist devices across the collaborative. Approximately half of the surveyed centers had lesion-specific postoperative pathways and approximately two-thirds had protocols for single-ventricle patients. CONCLUSIONS: The PAC3 hospital survey is the most comprehensive description of systems and care practices unique to CACUs to date. There exists considerable heterogeneity among unit composition and variation in care practices. These variations may allow for identification of best practices and improved quality of care for patients.