TY - JOUR
T1 - Addressing critiques of the proposed CMS metric of organ procurement organ performance
T2 - More data isn't better
AU - Goldberg, David S.
AU - Doby, Brianna
AU - Lynch, Raymond
N1 - Funding Information:
3Division of Transplantation, Department of Surgery, Emory University School of Medicine, Atlanta, GA. The authors declare no conflicts of interest.Dr. Lynch reported previously being a member of the medical advisory board of Organize, which is dedicated to improving organ donation and for which he receives no compensation. Dr Goldberg reported receiving research grant support from Merck, Gilead, and AbbVie. D.G. participated in research design, data analysis, drafting of the article, and editing of the manuscript. B.D. participated in research design, data analysis, and editing of the article. R.L. participated in research design, data analysis, and editing of the article. Correspondence: David S. Goldberg, MD, MSCE, Department of Medicine, Division of Digestive Health and Liver Diseases, University of Miami Miller School of Medicine, 1120 Northwest 14th St, Don Soffer Clinical Research Center, Room 807, Miami, FL 33136. ([email protected]). Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved. ISSN: 0041-1337/20/1048-1662 DOI: 10.1097/TP.0000000000003071
Publisher Copyright:
© 2020 Lippincott Williams and Wilkins. All rights reserved.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Background. Centers for Medicare and Medicaid Services (CMS) has proposed a rule change to redefine the metric by which organ procurement organizations (OPOs) are evaluated. The metric relies on Centers for Disease Control and Prevention (CDC) data on inpatient deaths from causes consistent with donation among patients <75 years of age. Concerns have been raised that this metric does not account for rates of ventilation, and prevalence of cancer and severe sepsis, without objective data to substantiate or refute such concerns. Methods. We estimated OPO-level donation rates using CDC data, and used Agency for Healthcare Research and Quality/Healthcare Cost and Utilization Project data from 43 State Inpatient Databases to calculate "adjusted" donation rates. Results. The CMS metric and the ventilation-adjusted CMS metric were highly concordant in absolute terms (Spearman and Pearson correlation coefficients ≥0.95). In the Bland-Altman plot, 100% (48/48) of paired values (standard deviations [SDs] of the CMS and "ventilation adjusted" metrics) were within 1.96 SDs of the mean difference, with near-perfect correlation in Passing and Bablok regression (Lin's concordance correlation coefficient: 0.97). The CMS metric and the ventilation/cancer/sepsis-adjusted metric were highly concordant in absolute terms (Spearman and Pearson correlation coefficients ≥0.94). In the Bland-Altman plot, 97.9% (47/48) of paired values (SDs of the CMS and "ventilation/cancer/sepsis adjusted" metrics) were within 1.96 SDs of the mean difference, with near-perfect correlation in the Passing and Bablok regression (Lin's concordance correlation coefficient: 0.97). Conclusions. These conclusions should provide CMS, and the transplant community, with comfort that the proposed CMS metric using CDC inpatient death data as a tool to compare OPO is not compromised by its lack of inclusion of ventilation or other comorbidity data.
AB - Background. Centers for Medicare and Medicaid Services (CMS) has proposed a rule change to redefine the metric by which organ procurement organizations (OPOs) are evaluated. The metric relies on Centers for Disease Control and Prevention (CDC) data on inpatient deaths from causes consistent with donation among patients <75 years of age. Concerns have been raised that this metric does not account for rates of ventilation, and prevalence of cancer and severe sepsis, without objective data to substantiate or refute such concerns. Methods. We estimated OPO-level donation rates using CDC data, and used Agency for Healthcare Research and Quality/Healthcare Cost and Utilization Project data from 43 State Inpatient Databases to calculate "adjusted" donation rates. Results. The CMS metric and the ventilation-adjusted CMS metric were highly concordant in absolute terms (Spearman and Pearson correlation coefficients ≥0.95). In the Bland-Altman plot, 100% (48/48) of paired values (standard deviations [SDs] of the CMS and "ventilation adjusted" metrics) were within 1.96 SDs of the mean difference, with near-perfect correlation in Passing and Bablok regression (Lin's concordance correlation coefficient: 0.97). The CMS metric and the ventilation/cancer/sepsis-adjusted metric were highly concordant in absolute terms (Spearman and Pearson correlation coefficients ≥0.94). In the Bland-Altman plot, 97.9% (47/48) of paired values (SDs of the CMS and "ventilation/cancer/sepsis adjusted" metrics) were within 1.96 SDs of the mean difference, with near-perfect correlation in the Passing and Bablok regression (Lin's concordance correlation coefficient: 0.97). Conclusions. These conclusions should provide CMS, and the transplant community, with comfort that the proposed CMS metric using CDC inpatient death data as a tool to compare OPO is not compromised by its lack of inclusion of ventilation or other comorbidity data.
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U2 - 10.1097/TP.0000000000003071
DO - 10.1097/TP.0000000000003071
M3 - Article
C2 - 32732845
AN - SCOPUS:85087455675
SN - 0041-1337
VL - 104
SP - 1662
EP - 1667
JO - Transplantation
JF - Transplantation
IS - 8
ER -