Determinants of Resource Utilization in a Tertiary Pediatric and Congenital Echocardiographic Laboratory

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

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.

Determinants of Physician, Sonographer, and Laboratory Productivity: Analysis of the Third Survey from the American Society of Echocardiography Committee on Pediatric Echocardiography Laboratory Productivity

BACKGROUND

The American Society of Echocardiography Committee on Pediatric Echocardiography Laboratory Productivity was formed in 2011 to study institutional factors that could influence the clinical productivity of physicians and sonographers in academic pediatric echocardiography laboratories. In the previous two surveys, staff clinical productivity remained stable while total echocardiography volumes increased. This third survey was designed to assess how clinical productivity is associated with laboratory infrastructure elements such as training, administrative tasks, quality improvement, research, and use of focused cardiac ultrasound (FCU).

METHODS

Survey questions were sent by e-mail to North American laboratories. The aims were to assess (1) educational and training obligations, (2) academic productivity and research, (3) laboratory medical director satisfaction, (4) quality improvement, (5) laboratory leadership roles, and (6) impact and use of FCU. Survey responses were compared with clinical productivity metrics defined in the first two surveys.

RESULTS

There were 38 responses. Academic productivity was higher at institutions with more dedicated imaging personnel, personnel with dedicated protected academic time, and advanced imaging fellows. Academic productivity did not correlate with clinical productivity and was not significantly affected by the presence of dedicated research sonographers. The satisfaction level of laboratory medical directors was related to dedicated administrative time and an administrative stipend. The majority of administrative roles were tasked to the laboratory medical director with support of the technical director. FCU was listed as a hospital privilege at four institutions (13%). Twenty-two (58%) were training FCU providers in one or more subspecialties. FCU was not associated with clinical or academic productivity.

CONCLUSIONS

This third survey gathered supplemental data to complement the clinical productivity data collected from the first two surveys. Together, the results of these surveys further describe the range of factors that can affect North American academic pediatric echocardiography laboratories.

Data-Driven Quality Improvement Project to Increase the Value of the Congenital Echocardiographic Report

Echocardiography is the primary diagnostic modality for congenital heart disease patients. The written report is used to communicate with the care team and organization is often divided into the body with detailed findings and the conclusions with important findings summarized. Strategies to increase workflow efficiency include batch writing of reports after performance of multiple echocardiograms and the use of report templates which may contribute to discrepancies within report leading to potential downstream medical errors. The aim of this project was to measure the rate of inconsistencies in the echocardiogram reports and through an iterative series of process improvement decrease this rate while maintaining sonographer efficiency and diagnostic accuracy. The discrepancy rate, diagnostic error rate, and sonographer productivity were collected one-year prior and during the iterative quality improvement process. The primary outcome and discrepancies in reports were determined by two reviewers: an experienced pediatric echocardiographic cardiologist and a senior sonographer. Minor discrepancies were defined as contradictions between the body and the conclusion of the report that were unlikely to affect patient care. Major discrepancies were defined as discrepancies between the body and the conclusion that had significant potential to affect patient care. Sonographer productivity was measured as studies per sonographer per month. Our primary intervention was to initiate a quarterly QI meeting and to decrease the batch writing of preliminary echocardiogram reports. No major discrepancies were identified pre- or post-intervention. The minor discrepancies decreased from 40.7 to 6%. Sonographer productivity was not significantly changed with a slight increase from 100 studies/sonographer/month during the baseline to 101 studies/sonographer/month during the intervention. There was no change in major or minor diagnostic error rate. Our quality improvement intervention increased the value of our reports by significantly decreasing minor discrepancies without negatively impacting sonographer productivity or diagnostic accuracy.

Determinants of Pediatric Echocardiography Laboratory Productivity: Analysis from the Second Survey of the American Society of Echocardiography Committee on Echocardiography Laboratory Productivity

BACKGROUND

The American Society of Echocardiography Committee on Pediatric Echocardiography Laboratory Productivity aimed to study factors that could influence the clinical productivity of physicians and sonographers and assess longitudinal trends for the same. The first survey results indicated that productivity correlated with the total volume of echocardiograms.

METHODS

Survey questions were designed to assess productivity for (1) physician full-time equivalent (FTE) allocated to echocardiography reading (echocardiograms per physician FTE per day), (2) sonographer FTE (echocardiograms per sonographer FTE per year), and (3) machine utilization (echocardiograms per machine per year). Questions were also posed to assess work flow and workforce.

RESULTS

For fiscal year 2013 or academic year 2012-2013, the mean number of total echocardiograms-including outreach, transthoracic, fetal, and transesophageal echocardiograms-per physician FTE per day was 14.3 ± 5.9, the mean number of echocardiograms per sonographer FTE per year was 1,056 ± 441, and the mean number of echocardiograms per machine per year was 778 ± 303. Both physician and sonographer productivity was higher at high-volume surgical centers and with echocardiography slots scheduled concordantly with clinic visits. Having an advanced imaging fellow and outpatient sedation correlated negatively with clinical laboratory productivity. Machine utilization was greater in laboratories with higher sonographer and physician productivity and lower for machines obtained before 2009.

CONCLUSION

Measures of pediatric echocardiography laboratory staff productivity and machine utilization were shown to correlate positively with surgical volume, total echocardiography volumes, and concordant echocardiography scheduling; the same measures correlated negatively with having an advanced imaging fellow and outpatient sedation. There has been no significant change in staff productivity noted over two Committee on Pediatric Echocardiography Laboratory Productivity survey cycles, suggesting that hiring practices have matched laboratory volume increases.