Transparency in a Pediatric Quality Improvement Collaborative: A Passionate Journey by NPC-QIC Clinicians and Parents

Assessing enrollment of eligible infants in the national pediatric cardiology quality improvement collaborative (NPC-QIC) through linkage to the pediatric cardiac critical care consortium (PC4) registry

BACKGROUND

The National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC) lacks a rigorous enrollment audit process, unlike other collaborative networks. Most centers require individual families to consent to participate. It is unknown whether there is variation across centers or biases in enrollment.

METHODS

We used the Pediatric Cardiac Critical Care Consortium (PC4) registry to assess enrollment rates in NPC-QIC for those centers participating in both registries using indirect identifiers (date of birth, date of admission, gender, and center) to match patient records. All infants born 1/1/2018-12/31/2020 and admitted 30 days of life were eligible. In PC4, all infants with a fundamental diagnosis of hypoplastic left heart or variant or who underwent a surgical or hybrid Norwood or variant were eligible. Standard descriptive statistics were used to describe the cohort and center match rates were plotted on a funnel chart.

RESULTS

Of 898 eligible NPC-QIC patients, 841 were linked to 1,114 eligible PC4 patients (match rate 75.5%) in 32 centers. Match rates were lower in patients of Hispanic/Latino ethnicity (66.1%, p = 0.005), and those with any specified chromosomal abnormality (57.4%, p = 0.002), noncardiac abnormality (67.8%, p = 0.005), or any specified syndrome (66.5%, p = 0.001). Match rates were lower for patients who transferred to another hospital or died prior to discharge. Match rates varied from 0 to 100% across centers.

CONCLUSIONS

It is feasible to match patients between the NPC-QIC and PC4 registries. Variation in match rates suggests opportunities for improvement in NPC-QIC patient enrollment.

A Scoping Review on Learning Health Networks Available in Pediatric Surgical Specialties

BACKGROUND

Learning health networks (LHN) are consortia of institutions that collaborate and embrace the elements of the learning health system (LHS), including quality improvement, education, research, and stakeholder involvement. Their ultimate goal is rapid information dissemination in clinical care. Pediatric surgical specialties perform unique yet high-impact procedures that could benefit from LHN, thereby improving surgical outcomes and care through LHS approaches. Consequently, health system leaders should be aware of LHN and their importance in enhancing surgical care and improving outcomes. This scoping review aims to map and characterize the existing LHN applied in pediatric surgical specialties.

METHODS

A systematic literature search was performed on Medline, EMBASE, and Scopus up to June 2022, with an update search conducted in May 2023. Additionally, Google Scholar, ProQuest and inquiry from topic experts were used for cross-referencing relevant review articles to identify grey literature. This scoping review was conducted and reported according to the PRISMA-scoping review extension.

RESULTS

A total of 56 publications for 19 LHN were identified and included in this scoping review. Out of 19 identified LHN in pediatric surgical specialties, 18 were organized in North America. Eight of the networks are related to pediatric general surgery and another eight were related to pediatric transplantation. The 16 out of 19 LHN were initiated after 2001. To date, only eight of the LHNs generated reports of comparative improved outcomes.

CONCLUSION

This scoping review provides an overview of the available LHNs in pediatric surgical specialties. Over the past decade, several pediatric surgical specialties have embraced the principles of learning health systems, forming inter-institutional collaborations that utilize information technology to generate big data on patient-level clinical information, engage in quality improvement cycles, adopt evidence-based practices, and actively involve patients and stakeholders.

LEVEL OF EVIDENCE

IV.

Health Care Policy and Congenital Heart Disease: 2020 Focus on Our 2030 Future

The congenital heart care community faces a myriad of public health issues that act as barriers toward optimum patient outcomes. In this article, we attempt to define advocacy and policy initiatives meant to spotlight and potentially address these challenges. Issues are organized into the following 3 key facets of our community: patient population, health care delivery, and workforce. We discuss the social determinants of health and health care disparities that affect patients in the community that require the attention of policy makers. Furthermore, we highlight the many needs of the growing adults with congenital heart disease and those with comorbidities, highlighting concerns regarding the inequities in access to cardiac care and the need for multidisciplinary care. We also recognize the problems of transparency in outcomes reporting and the promising application of telehealth. Finally, we highlight the training of providers, measures of productivity, diversity in the workforce, and the importance of patient-family centered organizations in advocating for patients. Although all of these issues remain relevant to many subspecialties in medicine, this article attempts to illustrate the unique needs of this population and highlight ways in which to work together to address important opportunities for change in the cardiac care community and beyond. This article provides a framework for policy and advocacy efforts for the next decade.

Status of Multidisciplinary Collaboration in Neonatal Cardiac Care in the United States

While outcomes for neonates with congenital heart disease have improved, it is apparent that substantial variability exists among centers with regard to the multidisciplinary approach to care for this medically fragile patient population. We endeavored to understand the landscape of neonatal cardiac care in the United States. A survey was distributed to physicians who provide neonatal cardiac care in the United States regarding (1) collaborative efforts in care of neonates with congenital heart disease (CHD); (2) access to neonatal cardiac training; and (3) barriers to the implementation of protocols for neonatal cardiac care. Responses were collected from 10/2018 to 6/2019. We received responses from 172 of 608 physicians (28% response rate) from 89 centers. When compared to responses received from physicians at low-volume centers (< 300 annual bypass cases), those at high-volume centers reported more involvement from the neurodevelopmental teams (58% vs. 29%; P = 0.012) and a standardized transition to outpatient care (68% vs. 52%; P = 0.038). While a majority of cardiothoracic surgery and anesthesiology respondents reported multidisciplinary involvement, less than half of cardiology and neonatology supported this statement. The most commonly reported obstacles to multidisciplinary engagement were culture (61.6%) and logistics (47.1%). Having a standardized neonatal cardiac curriculum for neonatal fellows was positively associated with the perception that multidisciplinary collaboration was "always" in place (53% vs. 40%; P = 0.09). There is considerable variation among centers in regard to personnel involved in neonatal cardiac care, related education, and perceived multidisciplinary collaboration among team members. The survey findings suggest the need to establish concrete standards for neonatal cardiac surgical programs, with ongoing quality improvement processes.

US Mortality Attributable to Congenital Heart Disease Across the Lifespan From 1999 Through 2017 Exposes Persistent Racial/Ethnic Disparities

BACKGROUND

Congenital heart disease (CHD) accounts for ≈40% of deaths in US children with birth defects. Previous US data from 1999 to 2006 demonstrated an overall decrease in CHD mortality. Our study aimed to assess current trends in US mortality related to CHD from infancy to adulthood over the past 19 years and determine differences by sex and race/ethnicity.

METHODS

We conducted an analysis of death certificates from 1999 to 2017 to calculate annual CHD mortality by age at death, race/ethnicity, and sex. Population estimates used as denominators in mortality rate calculations for infants were based on National Center for Health Statistics live birth data. Mortality rates in individuals ≥1 year of age used US Census Bureau bridged-race population estimates as denominators. We used joinpoint regression to characterize temporal trends in all-cause mortality, mortality resulting directly attributable to and related to CHD by age, race/ethnicity, and sex.

RESULTS

There were 47.7 million deaths with 1 in 814 deaths attributable to CHD (n=58 599). Although all-cause mortality decreased 16.4% across all ages, mortality resulting from CHD declined 39.4% overall. The mean annual decrease in CHD mortality was 2.6%, with the largest decrease for those >65 years of age. The age-adjusted mortality rate decreased from 1.37 to 0.83 per 100 000. Males had higher mortality attributable to CHD than females throughout the study, although both sexes declined at a similar rate (≈40% overall), with a 3% to 4% annual decrease between 1999 and 2009, followed by a slower annual decrease of 1.4% through 2017. Mortality resulting from CHD significantly declined among all races/ethnicities studied, although disparities in mortality persisted for non-Hispanic Blacks versus non-Hispanic Whites (mean annual decrease 2.3% versus 2.6%, respectively; age-adjusted mortality rate 1.67 to 1.05 versus 1.35 to 0.80 per 100 000, respectively).

CONCLUSIONS

Although overall US mortality attributable to CHD has decreased over the past 19 years, disparities in mortality persist for males in comparison with females and for non-Hispanic Blacks in comparison with non-Hispanic Whites. Determining factors that contribute to these disparities such as access to quality care, timely diagnosis, and maintenance of insurance will be important moving into the next decade.

Improved National Outcomes Achieved in a Cardiac Learning Health Collaborative Based on Early Performance Level

OBJECTIVE

Within the National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC), a learning health network developed to improve outcomes for patients with hypoplastic left heart syndrome and variants, we assessed which centers contributed to reductions in mortality and growth failure.

STUDY DESIGN

Centers within the NPC-QIC were divided into tertiles based on early performance for mortality and separately for growth failure. These groups were evaluated for improvement from the early to late time period and compared with the other groups in the late time period.

RESULTS

Mortality was 3.8% for the high-performing, 7.6% for the medium-performing, and 14.4% for the low-performing groups in the early time period. Only the low-performing group had a significant change (P < .001) from the early to late period. In the late period, there was no difference in mortality between the high- (5.7%), medium- (7%), and low- (4.6%) performing centers (P = .5). Growth failure occurred in 13.9% for the high-performing, 21.9% for the medium-performing, and 32.8% for the low-performing groups in the early time period. Only the low-performing group had a significant change (P < .001) over time. In the late period, there was no significant difference in growth failure between the high- (19.8%), medium- (21.5%), and low- (13.5%) performing groups (P = .054).

CONCLUSIONS

Improvements in the NPC-QIC mortality and growth measures are primarily driven by improvement in those performing the worst in these areas initially without compromising the success of high-performing centers. Focus for improvement may vary by center based on performance.

Accelerating Improvement in Children's Healthcare Through Quality Improvement Collaboratives: A Synthesis of Recent Efforts

Purpose of review

Quality improvement collaboratives can accelerate quality improvement and patient safety efforts. We reviewed major pediatric quality improvement collaboratives that have published results in the past five years and discussed common success factors and barriers encountered by these collaboratives.

Recent Findings

Many pediatric quality improvement collaboratives are active in neonatal, cystic fibrosis, congenital heart disease, hematology/oncoogy, chronic kidney disease, rheumatology, critical care, and general pediatric care.

Summary

Factors important to the success of these pediatric quality improvement collaboratives include data sharing and communication, trust among institutions, financial support, support from national organizations, use of a theoretical framework to guide collaboration, patient and family involvement, and incentives for participation at both the individual and institutional levels. Common barriers encountered by these collaboratives include insufficient funding or resources, legal concerns, difficulty coming to consensus on best practices and outcome measures, and overcoming cultural barriers to change. Learning from the successes and challenges encountered by these collaboratives will enable the pediatric healthcare quality improvement community to continue to evolve this approach to maximize benefits to children.

Power of a Learning Network in Congenital Heart Disease

Background:

The National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC) formed to improve outcomes in infants with hypoplastic left heart syndrome. The collaborative sought to (1) decrease mortality, (2) reduce growth failure, and (3) reduce hospital readmissions due to major medical problems during the interstage period between discharge following stage 1 palliation (S1P) and admission for stage 2 palliation (S2P).

Methods:

The NPC-QIC is a learning network, coproduced by parents and clinicians, of 65 pediatric cardiology centers that contribute clinical data on care processes and outcomes to a shared registry. The adapted Breakthrough Series Model structure brings teams together regularly to review data, share lessons, and plan improvements. Outcomes are monitored using statistical process control methods.

Results:

Between 2008 and 2016, interstage mortality decreased by >40%, from 9.5% to 5.3%. Identification and use of a nutrition bundle led to improved infant growth, with a 28% reduction in interstage growth failure. The rate of serious hospital readmissions was low and did not significantly change. Importantly, a formed partnership with the parent group Sisters by Heart fostered the coproduction of tools and strategies and an emphasis on data transparency and outcomes.

Conclusions:

The NPC-QIC’s initial efforts led to improvements in interstage growth and mortality. The NPC-QIC has modeled the use of data for improvement and research, the value of coproduction with parents, and the concept “all teach, all learn,” demonstrating the power of the learning network model.

Using a network organisational architecture to support the development of Learning Healthcare Systems

The US National Academy of Sciences has called for the development of a Learning Healthcare System in which patients and clinicians work together to choose care, based on best evidence, and to drive discovery as a natural outgrowth of every clinical encounter to ensure innovation, quality and value at the point of care. However, the vision of a Learning Healthcare System has remained largely aspirational. Over the last 13 years, researchers, clinicians and families, with support from our paediatric medical centre, have designed, developed and implemented a network organisational model to achieve the Learning Healthcare System vision. The network framework aligns participants around a common goal of improving health outcomes, transparency of outcome measures and a flexible and adaptive collaborative learning system. Team collaboration is promoted by using standardised processes, protocols and policies, including communication policies, data sharing, privacy protection and regulatory compliance. Learning methods include collaborative quality improvement using a modified Breakthrough Series approach and statistical process control methods. Participants observe their own results and learn from the experience of others. A common repository (a 'commons') is used to share resources that are created by participants. Standardised technology approaches reduce the burden of data entry, facilitate care and result in data useful for research and learning. We describe how this organisational framework has been replicated in four conditions, resulting in substantial improvements in outcomes, at scale across a variety of conditions.

Recent innovations in perfusion and cardiopulmonary bypass for neonatal and infant cardiac surgery

The development and refinement of cardiopulmonary bypass (CPB) has made the repair of complex congenital heart defects possible in neonates and infants. In the past, the primary goal for these procedures was patient survival. Now that substantial survival rates have been achieved for even the most complex of repairs in these patients, focus has been given to the reduction of morbidity. Although a necessity for these complex neonatal and infant heart defect repairs, CPB can also be an important source of perioperative complications. Recent innovations have been developed to mitigate these risks and is the topic of this review. Specifically, we will discuss improvements in minimizing blood transfusions, CPB circuit design, monitoring, perfusion techniques, temperature management, and myocardial protection, and then conclude with a brief discussion of how further systematic improvements can be made in these areas.

International quality improvement initiatives

Across the globe, the implementation of quality improvement science and collaborative learning has positively affected the care and outcomes for children born with CHD. These efforts have advanced the collective expertise and performance of inter-professional healthcare teams. In this review, we highlight selected quality improvement initiatives and strategies impacting the field of cardiovascular care and describe implications for future practice and research. The continued leveraging of technology, commitment to data transparency, focus on team-based practice, and recognition of cultural norms and preferences ensure the success of sustainable models of global collaboration.

Clinical Databases and Registries in Congenital and Pediatric Cardiac Surgery, Cardiology, Critical Care, and Anesthesiology Worldwide

The growth in large-scale data management capabilities and the successful care of patients with congenital heart defects have coincidentally paralleled each other for the last three decades, and participation in multicenter congenital heart disease databases and registries is now a fundamental component of cardiac care. This manuscript attempts for the first time to consolidate in one location all of the relevant databases worldwide, including target populations, specialties, Web sites, and participation information. Since at least 1,992 cardiac surgeons and cardiologists began leveraging this burgeoning technology to create multi-institutional data collections addressing a variety of specialties within this field. Pediatric heart diseases are particularly well suited to this methodology because each individual care location has access to only a relatively limited number of diagnoses and procedures in any given calendar year. Combining multiple institutions data therefore allows for a far more accurate contemporaneous assessment of treatment modalities and adverse outcomes. Additionally, the data can be used to develop outcome benchmarks by which individual institutions can measure their progress against the field as a whole and focus quality improvement efforts in a more directed fashion, and there is increasing utilization combining clinical research efforts within existing data structures. Efforts are ongoing to support better collaboration and integration across data sets, to improve efficiency, further the utility of the data collection infrastructure and information collected, and to enhance return on investment for participating institutions.

Big Data and paediatric cardiovascular disease in the era of transparency in healthcare

The objectives of this review were to discuss the potential impact of Big Data analytics in paediatric cardiovascular disease and its potential to address the challenges of transparency in delivery of care to this unique population.