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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 8 of 8 Research Studies DisplayedHenderson ML, DiBrito SR, Thomas AG
Landscape of living multiorgan donation in the United States: a registry-based cohort study.
This registry-based cohort study examined the patient characteristics and outcomes associated with living multiorgan donation in the United States. The authors assert that careful documentation of outcomes is needed to ensure ethical practices in selection, informed consent, and postdonation care of this unique donor community.
AHRQ-funded; HS024600.
Citation: Henderson ML, DiBrito SR, Thomas AG .
Landscape of living multiorgan donation in the United States: a registry-based cohort study.
Transplantation 2018 Jul;102(7):1148-55. doi: 10.1097/tp.0000000000002082..
Keywords: Health Services Research (HSR), Patient-Centered Outcomes Research, Policy, Registries, Transplantation
Ashlagi I, Bingaman A, Burq M
Effect of match-run frequencies on the number of transplants and waiting times in kidney exchange.
Many U.S. kidney paired donation (KPD) registries have gradually shifted to high-frequency match-runs, raising the question of whether this harms the number of transplants. The authors conducted simulations and found that longer intervals between match-runs do not increase the total number of transplants, and that prioritizing highly sensitized patients is more effective than waiting longer between match-runs for transplanting these patients. Further, increasing arrival rates of new pairs improves both the fraction of transplanted pairs and waiting times.
AHRQ-funded; HS020610.
Citation: Ashlagi I, Bingaman A, Burq M .
Effect of match-run frequencies on the number of transplants and waiting times in kidney exchange.
Am J Transplant 2018 May;18(5):1177-86. doi: 10.1111/ajt.14566..
Keywords: Transplantation, Kidney Disease and Health, Health Services Research (HSR), Policy, Registries
Wey A, Pyke J, Schladt DP
Offer acceptance practices and geographic variability in allocation model for end-stage liver disease at transplant.
Offer acceptance practices may cause geographic variability in allocation Model for End-Stage Liver Disease (aMELD) score at transplant and could magnify the effect of donor supply and demand on aMELD variability. To evaluate these issues, offer acceptance practices of liver transplant programs and donation service areas (DSAs) were estimated using offers of livers from donors recovered between January 1, 2016, and December 31, 2016.
AHRQ-funded; HS024527.
Citation: Wey A, Pyke J, Schladt DP .
Offer acceptance practices and geographic variability in allocation model for end-stage liver disease at transplant.
Liver Transpl 2018 Apr;24(4):478-87. doi: 10.1002/lt.25010..
Keywords: Health Services Research (HSR), Policy, Transplantation
Kilambi V, Bui K, Mehrotra S
LivSim: An open-source simulation software platform for community research and development for liver allocation policies.
This brief discusses LivSim, an open-source software alternative to the Liver Simulated Allocation Model (LSAM) created by the Scientific Registry of Transplant Recipients. LivSim is an open-source simulation software platform for community research and development for liver allocation policies.
AHRQ-funded; HS024840.
Citation: Kilambi V, Bui K, Mehrotra S .
LivSim: An open-source simulation software platform for community research and development for liver allocation policies.
Transplantation 2018 Feb;102(2):e47-e48. doi: 10.1097/tp.0000000000002000..
Keywords: Health Services Research (HSR), Policy, Transplantation
Kumar K, Holscher CM, Luo X
Persistent regional and racial disparities in nondirected living kidney donation.
Nondirected living donors (NDLDs) are an important and growing source of kidneys to help reduce the organ shortage. The authors of this study hypothesized that the initial geographic clustering and racial disparities may have improved due to an increase in NDLDs. The authors found that despite the increased number of NDLDs, racial disparities have worsened and the center-level distribution of NDLD transplants has narrowed in recent years.
AHRQ-funded; HS024600.
Citation: Kumar K, Holscher CM, Luo X .
Persistent regional and racial disparities in nondirected living kidney donation.
Clin Transplant 2017 Dec;31(12). doi: 10.1111/ctr.13135..
Keywords: Disparities, Health Services Research (HSR), Policy, Transplantation, Racial and Ethnic Minorities
Henderson ML, Thomas AG, Shaffer A
The national landscape of living kidney donor follow-up in the United States.
The purpose of this study was to understand the impact of the 2013 policy the Organ Procurement and Transplantation Network/United Network for Organ Sharing issued. The policy required that transplant centers collect data on living kidney donors (LKDs) at 6 months, 1 year, and 2 years postdonation, with policy-defined thresholds for the proportion of complete living donor follow-up data submitted in a timely manner (60 days before or after the expected visit date).
AHRQ-funded; HS024600.
Citation: Henderson ML, Thomas AG, Shaffer A .
The national landscape of living kidney donor follow-up in the United States.
Am J Transplant 2017 Dec;17(12):3131-40. doi: 10.1111/ajt.14356..
Keywords: Health Services Research (HSR), Patient-Centered Outcomes Research, Policy, Registries, Transplantation
Kasiske BL, Salkowski N, Wey A
Potential implications of recent and proposed changes in the regulatory oversight of solid organ transplantation in the United States.
The authors reviewed the details and implications of changes in transplant program oversight.
AHRQ-funded; HS024527.
Citation: Kasiske BL, Salkowski N, Wey A .
Potential implications of recent and proposed changes in the regulatory oversight of solid organ transplantation in the United States.
Am J Transplant 2016 Dec;16(12):3371-77. doi: 10.1111/ajt.13955.
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Keywords: Health Services Research (HSR), Policy, Registries, Policy, Transplantation
Toro-Diaz H, Mayorga ME, Barritt AS
Predicting liver transplant capacity using discrete event simulation.
The researchers constructed a discrete event simulation model informed by current donor characteristics to predict future liver transplant trends through the year 2030. They found that by altering assumptions about the future donor pool, their model can be used to develop policy interventions to prevent a further decline in this lifesaving therapy.
AHRQ-funded; HS019468.
Citation: Toro-Diaz H, Mayorga ME, Barritt AS .
Predicting liver transplant capacity using discrete event simulation.
Med Decis Making 2015 Aug;35(6):784-96. doi: 10.1177/0272989x14559055.
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Keywords: Access to Care, Health Services Research (HSR), Policy, Transplantation