Consensus‐Based Development of a Pediatric Echocardiography Complexity Score: Design, Rationale, and Results of a Quality Improvement Collaborative

Author:

Balasubramanian Sowmya1ORCID,Yu Sunkyung1ORCID,Behera Sarina K.2ORCID,Bhat Aarti H.3,Camarda Joseph A.4ORCID,Choueiter Nadine F.5,Jone Pei‐Ni6ORCID,Lopez Leo7ORCID,Natarajan Shobha S.8,Parra David A.9ORCID,Parthiban Anitha10,Sachdeva Ritu11ORCID,Srivastava Shubhika12,Tierney Elif Seda Selamet7ORCID

Affiliation:

1. Department of Pediatrics University of Michigan Ann Arbor MI USA

2. Pediatric Affiliates, Sutter Health San Francisco CA USA

3. Department of Pediatrics University of Washington and Seattle Children’s Hospital Seattle WA USA

4. Department of Pediatrics Northwestern University Feinberg School of Medicine Chicago IL USA

5. Department of Pediatrics Albert Einstein College of Medicine Bronx NY USA

6. Department of Pediatrics Lurie Children’s Hospital Chicago IL USA

7. Department of Pediatrics Stanford School of Medicine Palo Alto CA USA

8. Department of Pediatrics Perelman School of Medicine at the University of Pennsylvania Philadelphia PA USA

9. Department of Pediatrics Vanderbilt University Medical Center Nashville TN USA

10. Texas Children’s Hospital, Baylor College of Medicine Houston TX USA

11. Emory University and Children’s Healthcare of Atlanta Atlanta GA USA

12. Department of Pediatrics Icahn School of Medicine, Mount Sinai New York NY USA

Abstract

Background The complexity of congenital heart disease has been primarily stratified on the basis of surgical technical difficulty, specific diagnoses, and associated outcomes. We report on the refinement and validation of a pediatric echocardiography complexity (PEC) score. Methods and Results The American College of Cardiology Quality Network assembled a panel from 12 centers to refine a previously published PEC score developed in a single institution. The panel refined complexity categories and included study modifiers to account for complexity related to performance of the echocardiogram. Each center submitted data using the PEC scoring tool on 15 consecutive inpatient and outpatient echocardiograms. Univariate and multivariate analyses were performed to assess for independent predictors of longer study duration. Among the 174 echocardiograms analyzed, 68.9% had underlying congenital heart disease; 44.8% were outpatient; 34.5% were performed in an intensive care setting; 61.5% were follow‐up; 46.6% were initial or preoperative; and 9.8% were sedated. All studies had an assigned PEC score. In univariate analysis, longer study duration was associated with several patient and study variables (age <2 years, PEC 4 or 5, initial study, preoperative study, junior or trainee scanner, and need for additional imaging). In multivariable analysis, a higher PEC score of 4 or 5 was independently associated with longer study duration after controlling for study variables and center variation. Conclusions The PEC scoring tool is feasible and applicable in a variety of clinical settings and can be used for correlation with diagnostic errors, allocation of resources, and assessment of physician and sonographer effort in performing, interpreting, and training in pediatric echocardiography.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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