Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-26T07:16:54.116Z Has data issue: false hasContentIssue false

Cardiac Networks United: an integrated paediatric and congenital cardiovascular research and improvement network

Published online by Cambridge University Press:  20 December 2018

Michael Gaies*
Affiliation:
Michigan Congenital Heart Center, Department of Pediatrics and Communicable Diseases, University of Michigan C.S. Mott Children’s Hospital, Ann Arbor, MI, USA
Jeffrey Anderson
Affiliation:
The Heart Institute, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA The James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
Alaina Kipps
Affiliation:
Lucille Packard Children’s Hospital, Stanford School of Medicine, Palo Alto, CA, USA
Angela Lorts
Affiliation:
The Heart Institute, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
Nicolas Madsen
Affiliation:
The Heart Institute, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
Bradley Marino
Affiliation:
Ann & Robert H. Lurie Children’s Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
John M. Costello
Affiliation:
Department of Pediatrics, Division of Cardiology, Medical University of South Carolina, Charleston, SC, USA
David Brown
Affiliation:
Department of Cardiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
Jeffrey P. Jacobs
Affiliation:
Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
David Kasnic
Affiliation:
Pediatric and Congenital Heart Association, Madison, WI, USA
Stacey Lihn
Affiliation:
Sisters by Heart, El Segundo, CA, USA
Carole Lannon
Affiliation:
The James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
Peter Margolis
Affiliation:
The James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
Gail D. Pearson
Affiliation:
National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, USA
Jonathan Kaltman
Affiliation:
National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, USA
John R. Charpie
Affiliation:
Michigan Congenital Heart Center, Department of Pediatrics and Communicable Diseases, University of Michigan C.S. Mott Children’s Hospital, Ann Arbor, MI, USA
Andrew N. Redington
Affiliation:
The Heart Institute, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
Sara K. Pasquali
Affiliation:
Michigan Congenital Heart Center, Department of Pediatrics and Communicable Diseases, University of Michigan C.S. Mott Children’s Hospital, Ann Arbor, MI, USA
on behalf of the Cardiac Networks United Executive Committee and Advisory Board
Affiliation:
Michigan Congenital Heart Center, Department of Pediatrics and Communicable Diseases, University of Michigan C.S. Mott Children’s Hospital, Ann Arbor, MI, USA The Heart Institute, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA The James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA Lucille Packard Children’s Hospital, Stanford School of Medicine, Palo Alto, CA, USA Ann & Robert H. Lurie Children’s Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA Department of Pediatrics, Division of Cardiology, Medical University of South Carolina, Charleston, SC, USA Department of Cardiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA Pediatric and Congenital Heart Association, Madison, WI, USA Sisters by Heart, El Segundo, CA, USA National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, USA
*
Author for correspondence: M. Gaies, MD, MPH MSc, Congenital Heart Center, University of Michigan C.S. Mott Children’s Hospital, 1540 E. Hospital Drive, Ann Arbor, MI 48109-4204, USA. Tel: +734-936-3770; E-mail: [email protected]

Abstract

Optimising short- and long-term outcomes for children and patients with CHD depends on continued scientific discovery and translation to clinical improvements in a coordinated effort by multiple stakeholders. Several challenges remain for clinicians, researchers, administrators, patients, and families seeking continuous scientific and clinical advancements in the field. We describe a new integrated research and improvement network – Cardiac Networks United – that seeks to build upon the experience and success achieved to-date to create a new infrastructure for research and quality improvement that will serve the needs of the paediatric and congenital heart community in the future. Existing gaps in data integration and barriers to improvement are described, along with the mission and vision, organisational structure, and early objectives of Cardiac Networks United. Finally, representatives of key stakeholder groups – heart centre executives, research leaders, learning health system experts, and parent advocates – offer their perspectives on the need for this new collaborative effort.

Type
Original Article
Copyright
© Cambridge University Press 2018. 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

Drs Gaies and Anderson should be listed as co-first authors.

Cite this article: Gaies M, Anderson J, Kipps A, Lorts A, Madsen N, Marino B, Costello JM, Brown D, Jacobs JP, Kasnic D, Lihn S, Lannon C, Margolis P, Pearson GD, Kaltman J, Charpie JR, Redington AN, Pasquali SK, on behalf of the Cardiac Networks United Executive Committee and Advisory Board. (2018) Cardiac Networks United: an integrated paediatric and congenital cardiovascular research and improvement network. Cardiology in the Young page 111 of 118. doi: 10.1017/S1047951118001683

References

1. Gaies, M, Cooper, DS, Tabbutt, S, et al. Collaborative quality improvement in the cardiac intensive care unit: development of the Paediatric Cardiac Critical Care Consortium (PC4). Cardiol Young 2015; 25: 951957.Google Scholar
2. Kugler, JD, Beekman Iii, RH, Rosenthal, GL, et al. Development of a pediatric cardiology quality improvement collaborative: from inception to implementation. From the Joint Council on Congenital Heart Disease Quality Improvement Task Force. Congenit Heart Dis 2009; 4: 318328.Google Scholar
3. Mahle, WT, Nicolson, SC, Hollenbeck-Pringle, D, et al. Utilizing a collaborative learning model to promote early extubation following infant heart surgery. Pediatr Crit Care Med 2016; 17: 939947.10.1097/PCC.0000000000000918Google Scholar
4. Martin, GR, Beekman, RH, Ing, FF, et al. The IMPACT registry: IMproving Pediatric and Adult Congenital Treatments. Semin Thorac Cardiovasc Surg Pediatr Cardiac Surg Annu 2010; 13: 2025.Google Scholar
5. Pasquali, SK, Jacobs, ML, Jacobs, JP. Linking databases. In: Barach PR, Jacobs JP, Lipshultz SE, Laussen PC (eds). Pediatric and Congenital Cardiac Care: Volume 1: Outcomes Analysis. Springer, 2015: 395399.Google Scholar
6. Vener, DF, Guzzetta, N, Jacobs, JP, Williams, GD. Development and implementation of a new data registry in congenital cardiac anesthesia. Ann Thorac Surg 2012; 94: 21592165.Google Scholar
7. Olsen, L, Aisner, D, McGinnis, JM, Institute of Medicine (U.S.). Roundtable on Evidence-Based Medicine. The Learning Healthcare System: Workshop Summary. National Academies Press, Washington, DC, 2007.Google Scholar
8. Anderson, JB, Beekman, RH 3rd, Kugler, JD, et al. Use of a learning network to improve variation in interstage weight gain after the Norwood operation. Congenit Heart Dis 2014; 9: 512520.10.1111/chd.12232Google Scholar
9. Ohye, RG, Sleeper, LA, Mahony, L, et al. Comparison of shunt types in the Norwood procedure for single-ventricle lesions. N Engl J Med 2010; 362: 19801992.10.1056/NEJMoa0912461Google Scholar
10. Pasquali, SK, Jacobs, JP, Farber, GK, et al. Report of the national heart, lung, and blood institute working group: an integrated network for congenital heart disease research. Circulation 2016; 133: 14101418.Google Scholar
11. Merelli, I, Perez-Sanchez, H, Gesing, S, D’Agostino, D. Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives. Biomed Res Int 2014; 2014: 134023.10.1155/2014/134023Google Scholar
12. Jagadish, HV, Gehrke, J, Labrinidis, A, et al. Big data and its technical challenges. Commun ACM 2014; 57: 8694.Google Scholar
13. Murdoch, TB, Detsky, AS. The inevitable application of big data to health care. JAMA 2013; 309: 13511352.10.1001/jama.2013.393Google Scholar
14. Bates, DW, Saria, S, Ohno-Machado, L, Shah, A, Escobar, G. Big data in health care: Using analytics to identify and manage high-risk and high-cost patients. Health Affairs 2014; 33: 11231131.Google Scholar
15. Cuzzocrea, A, Song, IY, Davis, KC. Analytics over large-scale multidimensional data: The big data revolution. International Conference on Information and Knowledge Management, Proceedings, 2011: 101103.Google Scholar
16. Franklin, RC, Jacobs, JP, Krogmann, ON, et al. Nomenclature for congenital and paediatric cardiac disease: historical perspectives and the international pediatric and congenital cardiac code. Cardiol Young 2008; 18 (Suppl 2): 7080.Google Scholar
17. Jacobs, JP. Introduction: databases and the assessment of complications associated with the treatment of patients with congenital cardiac disease. Cardiol Young 2008; 18 (Suppl 2): 137.Google Scholar
18. Pasquali, SK, Jacobs, JP, Shook, GJ, et al. Linking clinical registry data with administrative data using indirect identifiers: implementation and validation in the congenital heart surgery population. Am Heart J 2010; 160: 10991104.Google Scholar
19. Jacobs, JP, Edwards, FH, Shahian, DM, et al. Successful linking of the Society of Thoracic Surgeons database to social security data to examine survival after cardiac operations. Ann Thorac Surg 2011; 92: 3237; discussion 8-9.10.1016/j.athoracsur.2011.02.029Google Scholar
20. Pasquali, SK, Schumacher, KR, Davies, RR. Can linking databases answer questions about paediatric heart failure? Cardiol Young 2015; 25 (Suppl 2): 160166.10.1017/S1047951115000967Google Scholar
21. Britto, MT, Fuller, SC, Kaplan, HC, et al. Using a network organisational architecture to support the development of learning healthcare systems. BMJ Qual Saf 2018; 110.Google Scholar
22. Radio, NP. Obama Task Force Director on the Cancer ‘Moonshot’ Initiative. All Things Considered 2016; 30.Google Scholar
23. Anderson, JB, Beekman, RH 3rd, Kugler, JD, et al. Improvement in interstage survival in a national pediatric cardiology learning network. Circ Cardiovasc Qual Outcomes 2015; 8: 428436.Google Scholar
24. Provost, F, Fawcett, T. Data science and its relationship to big data and data-driven decision making. Big Data 2013; 1: 5159.Google Scholar
25. Pasquali, SK, Ravishankar, C, Romano, JC, et al. Design and initial results of a programme for routine standardised longitudinal follow-up after congenital heart surgery. Cardiol Young 2016; 26: 15901596.Google Scholar