Outpatient red blood cell transfusion payments among patients on chronic dialysis
© Gitlin et al.; licensee BioMed Central Ltd. 2012
Received: 21 March 2012
Accepted: 28 October 2012
Published: 2 November 2012
Payments for red blood cell (RBC) transfusions are separate from US Medicare bundled payments for dialysis-related services and medications. Our objective was to examine the economic burden for payers when chronic dialysis patients receive outpatient RBC transfusions.
Using Truven Health MarketScan® data (1/1/02-10/31/10) in this retrospective micro-costing economic analysis, we analyzed data from chronic dialysis patients who underwent at least 1 outpatient RBC transfusion who had at least 6 months of continuous enrollment prior to initial dialysis claim and at least 30 days post-transfusion follow-up. A conceptual model of transfusion-associated resource use based on current literature was employed to estimate outpatient RBC transfusion payments. Total payments per RBC transfusion episode included screening/monitoring (within 3 days), blood acquisition/administration (within 2 days), and associated complications (within 3 days for acute events; up to 45 days for chronic events).
A total of 3283 patient transfusion episodes were included; 56.4% were men and 40.9% had Medicare supplemental insurance. Mean (standard deviation [SD]) age was 60.9 (15.0) years, and mean Charlson comorbidity index was 4.3 (2.5). During a mean (SD) follow-up of 495 (474) days, patients had a mean of 2.2 (3.8) outpatient RBC transfusion episodes. Mean/median (SD) total payment per RBC transfusion episode was $854/$427 ($2,060) with 72.1% attributable to blood acquisition and administration payments. Complication payments ranged from mean (SD) $213 ($168) for delayed hemolytic transfusion reaction to $19,466 ($15,424) for congestive heart failure.
Payments for outpatient RBC transfusion episodes were driven by blood acquisition and administration payments. While infrequent, transfusion complications increased payments substantially when they occurred.
KeywordsDialysis Red blood cell transfusions Payers Cost
Anemia is common in end-stage renal disease (ESRD) and results from reduction of erythropoietin production . Prior to the development of pharmacologic treatments for anemia, red blood cell (RBC) transfusions were the mainstay of anemia treatment, and approximately 55% to 60% of dialysis patients received RBC transfusions to avoid severe anemia [2, 3]. RBC transfusions are associated with a variety of complications, including hemolytic and non-hemolytic transfusion reactions, infections, transfusion-related acute lung injury (TRALI), transfusion-associated circulatory overload (TACO), and hyperkalemia [3–10]. In 2009, the rate of RBC transfusion-associated adverse reactions across all disease states was reported as approximately 0.25% . However, the rates of RBC transfusion-related complications may be higher among chronic dialysis patients because of their significant comorbid disease severity and concerns about patients’ fluid overload. Furthermore, while the overall rates of these complications may be low, their outcomes can be severe (hospitalization or death) and their associated costs are high [12–14].
The use of RBC transfusion as a treatment for anemia declined dramatically after the approval of the first erythropoiesis-stimulating agent (ESA) in 1989 [15, 16]. In the 1995 annual report of the United States Renal Data System (USRDS), the reported rate of outpatient RBC transfusion in hemodialysis patients dropped from 16% in 1989 to 2% by 1993 . The overall rate of RBC transfusions (per 1000 patient-years) in the hemodialysis setting decreased by about half from 535.33 in 1992 to 263.65 in 2005 . About 83% to 94% of chronic dialysis patients now use an ESA to treat chronic anemia . With the newly implemented Medicare Prospective Payment System (PPS) for ESRD patients, reimbursement to providers is capitated to include dialysis and separately billable medications and services (ie, ESAs, iron, dialysis supplies, lab tests) but does not include blood and blood products. Since RBC transfusion use in ESRD patients on dialysis could potentially increase, it is important to understand transfusion-associated payments and outcomes in this patient population.
Incomplete accounting of payments related to RBC transfusion administration may provide misleading information to policy makers determining reimbursement policy in a healthcare system such as Medicare. The purpose of this retrospective claims analysis study was to use a micro-costing approach to examine the economic burden for payers when chronic dialysis patients receive outpatient RBC transfusions. This study will assist in quantifying the economic impact to payers of RBC transfusions as they are tracked within many of the PPS surveillance programs and will inform future studies examining RBC transfusion and associated payments in Medicare claims data.
The Truven Health MarketScan® Commercial Claims and Encounter and Medicare Supplemental and Coordination of Benefits Databases were used for this study. These databases are constructed from privately insured paid medical and prescription drug claims. The MarketScan Commercial Database contains the inpatient, outpatient, and outpatient prescription drug experience of approximately 30 million employees and their dependents (in 2010) covered under a variety of fee-for-service plans, managed care health plans, and indemnity plans. In addition, the MarketScan Medicare Database contains the healthcare experience of approximately 3.42 million retirees (in 2010) with Medicare supplemental insurance paid for by employers. Medicare-covered portion of payment, employer-paid portion, and patient-paid portion are included in this database. The MarketScan Commercial and Medicare Databases provide detailed cost, use, and outcomes data for healthcare services performed in both inpatient and outpatient settings. The medical claims are linked to outpatient prescription-drug claims and person-level enrollment data through the use of unique enrollee identifiers. All personal identifiers were removed.
Transfusion episode inclusion criteria
All analyses in this study were performed at the level of the transfusion episode. Eligible patients were first identified using the following criteria: inclusion in the MarketScan Commercial or Medicare Databases with ≥ 2 claims (to ensure that they were treated for chronic disease) for chronic dialysis ≥ 30 days apart and within 365 days between January 1, 2002, and October 31, 2010 (codes used to identify chronic dialysis claims are listed in Additional file 1: Table S1); had ≥ 6 months of continuous enrollment prior to first chronic dialysis claim to measure baseline clinical characteristics; had ≥ 1 outpatient RBC blood transfusion on or after date of first chronic dialysis claim through January 31, 2011 (codes used to identify RBC blood transfusion claims are listed in Additional file 1: Table S2); had no terminating events (defined as end of continuous enrollment, end of MarketScan data [January 31, 2011], death, or kidney transplant) between first chronic dialysis claim and first outpatient RBC transfusion; and had ≥ 30 days of continuous enrollment after the first RBC transfusion to identify and measure subsequent RBC transfusion-related complications. RBC transfusions were identified using revenue codes (UB-04), Current Procedural Terminology (CPT), and Healthcare Common Procedure Coding System (HCPCS) codes (codes used to identify transfusion-related complications claims are listed in Additional file 1: Table S3).
Variable definition and time frame
Demographic information was collected on the date of the first chronic dialysis claim. Clinical characteristics were measured during the 180 days prior to the first chronic dialysis claim. Because some patients had multiple RBC transfusion claims within a short time frame, we combined individual claims within 3 days of each other into a transfusion episode, which was the unit of observation for this study. Because pre- and post-transfusion screening and monitoring payments could not be differentiated for patients with more than 1 transfusion claim within an episode, we combined screening and monitoring payments 3 days prior to and 3 days post–transfusion episode. Blood acquisition and administration payments were examined from transfusion episode date to 2 days post–RBC transfusion episode.
Micro-costing/component analysis approach
We used a micro-costing approach to measure cost based on the components of resource units and their payment values [19–21]. We included payments for blood acquisition, transfusion administration, RBC transfusion–related lab tests, and transfusion complications . For the base-case analysis, we calculated component payments for (1) RBC transfusion screening and monitoring, (2) blood acquisition and administration, and (3) transfusion-related complication, which were summed to calculate (4) total payment for each RBC transfusion episode.
We conducted subgroup analyses for (1) patients with an acute bleed or surgery during the 180 days prior to initial dialysis claim, (2) patients with cancer or blood disease during the 180 days prior to initial dialysis claim, and (3) patients who experienced an RBC transfusion-related complication, by type of complication. We also performed sensitivity analyses by excluding cost outliers (RBC transfusion episodes with the top 1% of blood acquisition and administration costs or those with costs equal to $0 were excluded), varying the payment time frames (using both a narrow and broad time window [defined in Figure 2] in identifying and defining payment claims to RBC transfusion episodes), and estimating mean payment per unit of blood based on a blood acquisition and administration claim analysis.
From an initial sample of 105,260 patients with ≥ 2 chronic dialysis claims, we had a final sample of 3,283 chronic dialysis patients who met all of the selection criteria. Requiring 6 months of pre-index data and ≥ 1 outpatient RBC transfusion contributed to the greatest loss of subjects. Among the 3,283 chronic dialysis patients, there were 7,049 outpatient RBC transfusion episodes used in the micro-costing analyses. Mean (standard deviation [SD]) patient follow-up was 494.76 (474.19) days.
Patient demographics and clinical characteristics
Demographic and clinical characteristics
N = 3,283a
Age, mean years (SD)
Sex, n male (%)
Geographic region, n (%)
Payer, n (%)
Deyo Charlson comorbidity index, mean score (SD)
Comorbid conditions, n (%)
Dialysis modality, n (%)
Transfusion episodes with ≥ 30 days follow-up, mean number (SD)
Length of follow-up, mean days (SD)
Red blood cell transfusion episode payments
Base-case payment per red blood cell transfusion episode
Payments and Events
All patientsa(N= 3,283); All episodes (N = 7,049)
Average payment per episode
Blood acquisition and administration
TOTAL screening, transfusion and complication payments
Number of services per episode
Blood acquisition and administration
Sensitivity analysis of RBC transfusion episode payments by time frame
Mean payments (SD)
Drop top 1% and bottom $0 patients
(N = 7,049)
(N = 4,844)
(N = 7,049)
(N = 7,049)
Total payment per RBC transfusion
Finally, we estimated component payments per blood acquisition and administration unit. Per-unit data were available for 340 outpatient RBC transfusion episodes. When these episodes were analyzed, the transfusion screening/monitoring mean (SD) payment was $245 ($425), the blood acquisition and administration mean payment was $433 ($495), and the mean payment for transfusion complications was $153 ($1,915). Per-unit total transfusion episode mean payment was $827 ($2,127).
We evaluated 3,283 chronic dialysis patients with at least 1 outpatient setting RBC transfusion episode. Most of the patients had diabetes measured during the pre-index period. In the base case, 72.1% of the total payments were due to blood acquisition and administration, with the remainder of payments attributable to screening and monitoring and, to a lesser extent, transfusion-related complications. Total RBC transfusion payments were higher for patients with cancer or blood disease than those with an acute bleed or in our base-case estimates. Sensitivity analyses suggest that the base-case results were robust. Total payment estimates increased when both the top 1% most expensive episodes and $0 payment episodes were excluded. Payments became slightly lower when a narrow-window time frame was used and increased slightly with a broad-window time frame. The variations in total payments among all sensitivity analyses were less than 15% different from the base-case total payment estimates. Across all sensitivity analyses, the blood acquisition and administration payments consistently were the most expensive component payment.
Under the newly implemented Medicare PPS for ESRD patients, reimbursement is capitated to include dialysis and previously separately billable medications and services. Payments for blood and blood products are not, however, included in the new PPS bundle. As patients are treated to a lower hemoglobin level, the resulting lower hemoglobin levels could also create a medical necessity for RBC transfusions. The use of transfusions to supplement ESA therapy in ESRD patients on dialysis may increase because of economic incentives and clinical necessity. It is, therefore, important to comprehensively examine the transfusion-associated payments made within the chronic dialysis patient population in order to understand the economic consequences of the recent changes in reimbursement.
Our results differ somewhat from a recent cost analysis that used an activity-based costing model of RBC transfusions in a surgical population (based on observation of real-life activities in four hospitals in the United States and Europe) to identify the costs for each transfusion-related task and resource . Overall, total inpatient RBC transfusion costs were $522 to $1183 (mean, $761) per unit across the four hospitals (a considerable portion of the costs was related to pre-surgical testing for blood type/screening in patients who never received a transfusion) . These results were similar but slightly lower than our mean per-unit payment estimate of $827 (SD, $2,127). Blood acquisition costs in the other study were only 21% to 32% ($154 to $248 in 2008 dollars) of the total RBC transfusion-related costs. We found blood acquisition and administration payments accounted for 50% to70% of total payments, but could not differentiate acquisition and administration payments with certainty in the claims data. Patient testing and administration and monitoring of RBC transfusions and pretransfusion processes were 24% to 36% of total costs. Managing acute transfusion reactions and hemovigilance contributed to 0% to 2% of costs . The type and level of detail available in the data as well as place of service (inpatient vs outpatient setting) may explain some of the differences in our estimates from those of Shandler et al. Moreover, costs associated with blood acquisition and administration can vary according to the amount (units) and type (eg, leukoreduced or irradiated) of blood.
Our study had several limitations. We followed patients for mean 494.76 days, which was not long enough to detect payments for iron overload. The analysis took a conservative approach and excludes a number of potential resources that may increase the potential economic burden. For example, a number of potential long-term complications, including infectious diseases and iron overload, were excluded and may result in an underestimation of the overall economic burden of RBC transfusions. In addition, long-term management of acute complications such as medication costs and additional outpatient management were not included in the analysis, all of which may result in underestimation of the overall economic burden of RBC transfusions. Lastly, the economic burden may be underestimated because only hospitalizations related to specific complications listed in Figure 2 were included. The analysis may be potentially underestimating the economic burden by not including hospitalization that may occur the day of or day after a RBC transfusion because this may be a result of the transfusion exacerbating a existing condition or producing a new condition. Another limitation is the potential to include acute renal failure patients in the analysis. Utilizing a large number of dialysis claims over a long period may result in a much healthier population as a result of inclusion criteria. To minimize the potential for including acute renal failure or only including a healthier population of ESRD patients on dialysis, the analysis presented here utilizes specific codes that are only utilized by ESRD patients on dialysis. Another includes hospitalizations related to the specific acute complication events included in the micro-costing design. We did not have information on patient race/ethnicity. We were missing type of dialysis in about one third of cases. We did not evaluate inpatient costs because the inpatient claims data were based on diagnosis-related group (DRG) codes and could not be separated out into payment components. The focus of this analysis was on the payer burden of RBC transfusions and as a result of payments for inpatient hospital admissions being capitated into DRG payments, there is no ability to estimate the payer burden of inpatient-administered RBC transfusions. The majority (about 85%) of transfusions for dialysis patients occur in the inpatient setting , and thus the economic burden of transfusions is likely greatest in the inpatient setting, but of concern to the inpatient hospital rather than the third party payer, which is beyond the scope of this analysis. The economic burden of inpatient transfusions is likely to be similar to those for outpatient transfusions and the costs associated with complications arising from outpatient transfusions are also likely to be similar, if not greater than outpatient transfusions as a result of patient severity (as demonstrated by the patient being in the inpatient setting). Future analyses should focus on the provider cost burden of both outpatient and inpatient administered RBC transfusions. Finally, patients in our sample had either commercial insurance or Medicare plus Medicare supplemental insurance as their primary coverage, and therefore, the results may not be generalizable to patients who are uninsured, are covered only by Medicare, or have other types of insurance coverage.
This is the first study to examine payments for outpatient RBC transfusions in a population of patients undergoing chronic dialysis. Our study shows that payments for outpatient RBC transfusion episodes are primarily driven by blood acquisition and administration payments. Additionally, there are travel and other costs to dialysis patients for RBC transfusion episodes and increased risk for allosensitization; these could not be estimated here, but are important costs associated with RBC transfusions. While infrequent, transfusion complications increase payments substantially when they occur. Better understanding of RBC transfusion episodes’ payments and costs to patient may help inform policy makers when determining the appropriate reimbursement policy for chronic dialysis patients.
Congestive heart failure
Current Procedural Terminology
Dialysis Outcomes and Practice Patterns Study
End-stage renal disease
Healthcare Common Procedure Coding System
Prospective Payment System
Red blood cell
Transfusion-associated circulatory overload
Transfusion-related acute lung injury
United States Renal Data System.
We wish to thank Linda Rice, PhD, of Amgen Inc. and Julia R. Gage, PhD, of Gage Medical Writing, LLC for their editorial assistance and Tracy Johnson, BA, of Complete Healthcare Communications, Inc. on behalf of Amgen for post-submission editing assistance. This study was funded by Amgen Inc.
- Sargent JA, Acchiardo SR: Iron requirements in hemodialysis. Blood Purif. 2004, 22 (1): 112-123. 10.1159/000074931.View ArticlePubMedGoogle Scholar
- Churchill DN, Taylor DW, Cook RJ, LaPlante P, Barre P, Cartier P, Fay WP, Goldstein MB, Jindal K, Mandin H, et al: Canadian hemodialysis morbidity study. Am J Kidney Dis. 1992, 19 (3): 214-234.View ArticlePubMedGoogle Scholar
- Eschbach JW, Adamson JW: Anemia of end-stage renal disease (ESRD). Kidney Int. 1985, 28 (1): 1-5. 10.1038/ki.1985.109.View ArticlePubMedGoogle Scholar
- Beauregard P, Blajchman MA: Hemolytic and pseudo-hemolytic transfusion reactions: an overview of the hemolytic transfusion reactions and the clinical conditions that mimic them. Transfus Med Rev. 1994, 8 (3): 184-199. 10.1016/S0887-7963(94)70110-3.View ArticlePubMedGoogle Scholar
- Despotis GJ, Zhang L, Lublin DM: Transfusion risks and transfusion-related pro-inflammatory responses. Hematol Oncol Clin North Am. 2007, 21 (1): 147-161. 10.1016/j.hoc.2006.11.002.View ArticlePubMedGoogle Scholar
- Dodd RY, Notari EP, Stramer SL: Current prevalence and incidence of infectious disease markers and estimated window-period risk in the American Red Cross blood donor population. Transfusion (Paris). 2002, 42 (8): 975-979.View ArticleGoogle Scholar
- Eder AF, Chambers LA: Noninfectious complications of blood transfusion. Arch Pathol Lab Med. 2007, 131 (5): 708-718.PubMedGoogle Scholar
- Gilliss BM, Looney MR, Gropper MA: Reducing noninfectious risks of blood transfusion. Anesthesiology. 2011, 115 (3): 635-649. 10.1097/ALN.0b013e31822a22d9.View ArticlePubMedPubMed CentralGoogle Scholar
- Simon GE, Bove JR: The potassium load from blood transfusion. Postgrad Med. 1971, 49 (6): 61-64.View ArticlePubMedGoogle Scholar
- Vella JP, O’Neill D, Atkins N, Donohoe JF, Walshe JJ: Sensitization to human leukocyte antigen before and after the introduction of erythropoietin. Nephrol Dial Transplant. 1998, 13 (8): 2027-2032. 10.1093/ndt/13.8.2027.View ArticlePubMedGoogle Scholar
- The 2009 National Blood Collection and Utilization Survey Report. 2011, Washington, DC: US Department of Health and Human Services, Office of the Assistant Secretary for Health
- Allain JP, Stramer SL, Carneiro-Proietti AB, Martins ML, da Silva SN L, Ribeiro M, Proietti FA, Reesink HW: Transfusion-transmitted infectious diseases. Biologicals. 2009, 37 (2): 71-77. 10.1016/j.biologicals.2009.01.002.View ArticlePubMedGoogle Scholar
- Healthcare Cost and Utilization Project (HCUP): HCUP Nationwide Inpatient Sample (NIS). 2007–2009, Rockville, MD: Agency for Healthcare Research and QualityGoogle Scholar
- Kumar A: Perioperative management of anemia: limits of blood transfusion and alternatives to it. Cleve Clin J Med. 2009, 76 (Suppl 4): S112-S118.View ArticlePubMedGoogle Scholar
- Goodnough LT, Strasburg D, Riddell J, Verbrugge D, Wish J: Has recombinant human erythropoietin therapy minimized red-cell transfusions in hemodialysis patients?. Clin Nephrol. 1994, 41 (5): 303-307.PubMedGoogle Scholar
- Ibrahim HN, Ishani A, Foley RN, Guo H, Liu J, Collins AJ: Temporal trends in red blood transfusion among US dialysis patients, 1992–2005. Am J Kidney Dis. 2008, 52 (6): 1115-1121. 10.1053/j.ajkd.2008.07.022.View ArticlePubMedGoogle Scholar
- US Renal Data System: USRDS 1995 Annual Data Report. 1995, Bethesda, MD: The National Institutes of Health, National Institute of Diabetes and Digestive and Kidney DiseasesGoogle Scholar
- Pisoni RL, Bragg-Gresham JL, Young EW, Akizawa T, Asano Y, Locatelli F, Bommer J, Cruz JM, Kerr PG, Mendelssohn DC, et al: Anemia management and outcomes from 12 countries in the Dialysis Outcomes and Practice Patterns Study (DOPPS). Am J Kidney Dis. 2004, 44 (1): 94-111. 10.1053/j.ajkd.2004.03.023.View ArticlePubMedGoogle Scholar
- Drummond MF, O’Brien B, Stoddart GL, Torrance GW: Methods for the economic-evaluation of health care programmes. 1997, New York, NY: Oxford University PressGoogle Scholar
- Gold MR, Siegel JE, Russell LB, Weinstein MC: Cost-Effectiveness in Health and Medicine. 1996, New York, NY: Oxford University PressGoogle Scholar
- Shander A, Hofmann A, Ozawa S, Theusinger OM, Gombotz H, Spahn DR: Activity-based costs of blood transfusions in surgical patients at four hospitals. Transfusion (Paris). 2010, 50 (4): 753-765.View ArticleGoogle Scholar
- Lawler EV, Bradbury BD, Fonda JR, Gaziano JM, Gagnon DR: Transfusion burden among patients with chronic kidney disease and anemia. Clin J Am Soc Nephrol. 2010, 5 (4): 667-672. 10.2215/CJN.06020809.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2369/13/145/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.