Evaluating Transplant Quality Staffing Models via a National Survey
Vanderbilt Transplant Center, VUMC, Nashville, TN.
Meeting: 2018 American Transplant Congress
Abstract number: A391
Keywords: Multicenter studies
Session Information
Session Name: Poster Session A: Quality Assurance Process Improvement
Session Type: Poster Session
Date: Saturday, June 2, 2018
Session Time: 5:30pm-7:30pm
Presentation Time: 5:30pm-7:30pm
Location: Hall 4EF
The 2007 CMS Final Rule included expectations that transplant centers implement data-driven quality assessment and performance improvement (QAPI) programs. Currently, insufficient data exists to guide transplant centers' on development of quality program infrastructure.
Methods: In late 2017 respondents anonymously completed an internet-based survey querying centers' quality full time equivalents (FTEs), 2016 transplant volumes and QAPI meeting practices. Non-parametric correlation coefficients examined relationships between staffing, volumes and number of QAPI meetings.
Results: 54 centers responded (Figure 1) (48% university-affiliated, 15% single organ centers, UNOS regions 2-11).
91% had dedicated quality programs (86% initiated since 2007). 96% had quality staff (0.2 to 11 FTEs) and 57% felt staffing was inadequate. Reporting structures were to the transplant department (71%), hospital (8%) or mixed/other (21%). Quality meetings were program-specific (37%), comprehensive (17%) or a combination (46%). Adult transplant volumes (Figure 2) correlated with quality FTEs and number of QAPI meetings (rho≥0.60, p<0.001); pediatric volumes correlated with QAPI meetings (rho=0.67, p=0.001) but not significantly with FTEs (rho=0.36, p=0.087). Table 1 shows number of centers with quality FTEs per job role. Quality FTEs were not related to QAPI meeting volumes.
Table 1
<1 | 1-1.5 | 2 | >3 | |
Director | 5 | 1 | ||
Manager | 2 | 24 | 1 | |
Consultant | 5 | |||
Coordinator | 4 | 5 | 2 | 1 |
Analyst | 2 | 15 | 7 | 1 |
Data Entry | 3 | 13 | 8 | 4 |
Other | 6 | 10 | 4 | 2 |
Conclusion: There is wide variation in quality practices and transplant volumes generally related to staffing and QAPI meeting volumes.
CITATION INFORMATION: Cook M., Feurer I., Smith L., Rega S., Zavala E. Evaluating Transplant Quality Staffing Models via a National Survey Am J Transplant. 2017;17 (suppl 3).
To cite this abstract in AMA style:
Cook M, Feurer I, Smith L, Rega S, Zavala E. Evaluating Transplant Quality Staffing Models via a National Survey [abstract]. https://atcmeetingabstracts.com/abstract/evaluating-transplant-quality-staffing-models-via-a-national-survey/. Accessed October 11, 2024.« Back to 2018 American Transplant Congress