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6. US Renal Data System 2018 Annual Data Report: Epidemiology of Kidney Disease in the United States

Author

Saran, Rajiv, Robinson, Bruce, Abbott, Kevin C, Agodoa, Lawrence YC, Bragg-Gresham, Jennifer, Balkrishnan, Rajesh, Bhave, Nicole, Dietrich, Xue, Ding, Zhechen, Eggers, Paul W, Gaipov, Abduzhappar, Gillen, Daniel, Gipson, Debbie, Gu, Haoyu, Guro, Paula, Haggerty, Diana, Han, Yun, He, Kevin, Herman, William, Heung, Michael, Hirth, Richard A, Hsiung, Jui-Ting, Hutton, David, Inoue, Aya, Jacobsen, Steven J, Jin, Yan, Kalantar-Zadeh, Kamyar, Kapke, Alissa, Kleine, Carola-Ellen, Kovesdy, Csaba P, Krueter, William, Kurtz, Vivian, Li, Yiting, Liu, Sai, Marroquin, Maria V, McCullough, Keith, Molnar, Miklos Z, Modi, Zubin, Montez-Rath, Maria, Moradi, Hamid, Morgenstern, Hal, Mukhopadhyay, Purna, Nallamothu, Brahmajee, Nguyen, Danh V, Norris, Keith C, O'Hare, Ann M, Obi, Yoshitsugu, Park, Christina, Pearson, Jeffrey, Pisoni, Ronald, Potukuchi, Praveen K, Repeck, Kaitlyn, Rhee, Connie M, Schaubel, Douglas E, Schrager, Jillian, Selewski, David T, Shamraj, Ruth, Shaw, Sally F, Shi, Jiaxiao M, Shieu, Monica, Sim, John J, Soohoo, Melissa, Steffick, Diane, Streja, Elani, Sumida, Keiichi, Kurella Tamura, Manjula, Tilea, Anca, Turf, Megan, Wang, Dongyu, Weng, Wenjing, Woodside, Kenneth J, Wyncott, April, Xiang, Jie, Xin, Xin, Yin, Maggie, You, Amy S, Zhang, Xiaosong, Zhou, Hui, and Shahinian, Vahakn

Subjects
Emergency Service, Hospital, Health Expenditures, Hospitalization, Humans, Kidney Diseases, Kidney Failure, Chronic, Kidney Transplantation, Renal Dialysis, United States, Clinical Sciences, Public Health and Health Services, Urology & Nephrology
Published
2019

9. US Renal Data System 2017 Annual Data Report: Epidemiology of Kidney Disease in the United States

Author

Saran, Rajiv, Robinson, Bruce, Abbott, Kevin C, Agodoa, Lawrence YC, Bhave, Nicole, Bragg-Gresham, Jennifer, Balkrishnan, Rajesh, Dietrich, Xue, Eckard, Ashley, Eggers, Paul W, Gaipov, Abduzhappar, Gillen, Daniel, Gipson, Debbie, Hailpern, Susan M, Hall, Yoshio N, Han, Yun, He, Kevin, Herman, William, Heung, Michael, Hirth, Richard A, Hutton, David, Jacobsen, Steven J, Jin, Yan, Kalantar-Zadeh, Kamyar, Kapke, Alissa, Kovesdy, Csaba P, Lavallee, Danielle, Leslie, Janet, McCullough, Keith, Modi, Zubin, Molnar, Miklos Z, Montez-Rath, Maria, Moradi, Hamid, Morgenstern, Hal, Mukhopadhyay, Purna, Nallamothu, Brahmajee, Nguyen, Danh V, Norris, Keith C, O'Hare, Ann M, Obi, Yoshitsugu, Park, Christina, Pearson, Jeffrey, Pisoni, Ronald, Potukuchi, Praveen K, Rao, Panduranga, Repeck, Kaitlyn, Rhee, Connie M, Schrager, Jillian, Schaubel, Douglas E, Selewski, David T, Shaw, Sally F, Shi, Jiaxiao M, Shieu, Monica, Sim, John J, Soohoo, Melissa, Steffick, Diane, Streja, Elani, Sumida, Keiichi, Tamura, Manjula K, Tilea, Anca, Tong, Lan, Wang, Dongyu, Wang, Mia, Woodside, Kenneth J, Xin, Xin, Yin, Maggie, You, Amy S, Zhou, Hui, and Shahinian, Vahakn

Subjects
Annual Reports as Topic, Data Systems, Female, Humans, Kidney Failure, Chronic, Kidney Transplantation, Male, Prevalence, Renal Dialysis, Renal Insufficiency, Chronic, Research Report, Survival Analysis, United States, Clinical Sciences, Public Health and Health Services, Urology & Nephrology
Published
2018

10. US Renal Data System 2016 Annual Data Report: Epidemiology of Kidney Disease in the United States (vol 69, pg s7, 2017)

Author

Saran, Rajiv, Robinson, Bruce, Abbott, Kevin C, Agodoa, Lawrence YC, Albertus, Patrick, Ayanian, John, Balkrishnan, Rajesh, Bragg-Gresham, Jennifer, Cao, Jie, Chen, Joline LT, Cope, Elizabeth, Dharmarajan, Sai, Dietrich, Xue, Eckard, Ashley, Eggers, Paul W, Gaber, Charles, Gillen, Daniel, Gipson, Debbie, Gu, Haoyu, Hailpern, Susan M, Hall, Yoshio N, Han, Yun, He, Kevin, Hebert, Paul, Helmuth, Margaret, Herman, William, Heung, Michael, Hutton, David, Jacobsen, Steven J, Ji, Nan, Jin, Yan, Kalantar-Zadeh, Kamyar, Kapke, Alissa, Katz, Ronit, Kovesdy, Csaba P, Kurtz, Vivian, Lavallee, Danielle, Li, Yi, Lu, Yee, McCullough, Keith, Molnar, Miklos Z, Montez-Rath, Maria, Morgenstern, Hal, Mu, Qiao, Mukhopadhyay, Purna, Nallamothu, Brahmajee, Nguyen, Danh V, Norris, Keith C, O'Hare, Ann M, Obi, Yoshitsugu, Pearson, Jeffrey, Pisoni, Ronald, Plattner, Brett, Port, Friedrich K, Potukuchi, Praveen, Rao, Panduranga, Ratkowiak, Kaitlyn, Ravel, Vanessa, Ray, Debabrata, Rhee, Connie M, Schaubel, Douglas E, Selewski, David T, Shaw, Sally, Shi, Jiaxiao, Shieu, Monica, Sim, John J, Song, Peter, Soohoo, Melissa, Steffick, Diane, Streja, Elani, Tamura, Manjula K, Tentori, Francesca, Tilea, Anca, Tong, Lan, Turf, Megan, Wang, Dongyu, Wang, Mia, Woodside, Kenneth, Wyncott, April, Xin, Xin, Zeng, Wei, Zepel, Lindsay, Zhang, Sai, Zho, Hui, Hirth, Richard A, and Shahinian, Vahakn

Subjects
Urology & Nephrology, Clinical Sciences, Public Health and Health Services
Published
2017

12. US Renal Data System 2015 Annual Data Report: Epidemiology of Kidney Disease in the United States.

Author

Saran, Rajiv, Li, Yi, Robinson, Bruce, Abbott, Kevin C, Agodoa, Lawrence YC, Ayanian, John, Bragg-Gresham, Jennifer, Balkrishnan, Rajesh, Chen, Joline LT, Cope, Elizabeth, Eggers, Paul W, Gillen, Daniel, Gipson, Debbie, Hailpern, Susan M, Hall, Yoshio N, He, Kevin, Herman, William, Heung, Michael, Hirth, Richard A, Hutton, David, Jacobsen, Steven J, Kalantar-Zadeh, Kamyar, Kovesdy, Csaba P, Lu, Yee, Molnar, Miklos Z, Morgenstern, Hal, Nallamothu, Brahmajee, Nguyen, Danh V, O'Hare, Ann M, Plattner, Brett, Pisoni, Ronald, Port, Friedrich K, Rao, Panduranga, Rhee, Connie M, Sakhuja, Ankit, Schaubel, Douglas E, Selewski, David T, Shahinian, Vahakn, Sim, John J, Song, Peter, Streja, Elani, Kurella Tamura, Manjula, Tentori, Francesca, White, Sarah, and Woodside, Kenneth

Subjects
Humans, Kidney Diseases, Information Dissemination, Nephrology, Information Systems, United States, Annual Reports as Topic, Urology & Nephrology, Clinical Sciences, Public Health and Health Services
Published
2016

15. US Renal Data System 2014 Annual Data Report: Epidemiology of Kidney Disease in the United States.

Author

Saran, Rajiv, Li, Yi, Robinson, Bruce, Ayanian, John, Balkrishnan, Rajesh, Bragg-Gresham, Jennifer, Chen, Joline TL, Cope, Elizabeth, Gipson, Debbie, He, Kevin, Herman, William, Heung, Michael, Hirth, Richard A, Jacobsen, Steven S, Kalantar-Zadeh, Kamyar, Kovesdy, Csaba P, Leichtman, Alan B, Lu, Yee, Molnar, Miklos Z, Morgenstern, Hal, Nallamothu, Brahmajee, O'Hare, Ann M, Pisoni, Ronald, Plattner, Brett, Port, Friedrich K, Rao, Panduranga, Rhee, Connie M, Schaubel, Douglas E, Selewski, David T, Shahinian, Vahakn, Sim, John J, Song, Peter, Streja, Elani, Kurella Tamura, Manjula, Tentori, Francesca, Eggers, Paul W, Agodoa, Lawrence YC, and Abbott, Kevin C

Subjects
Humans, Kidney Diseases, Information Dissemination, Nephrology, Awards and Prizes, Information Systems, United States, Annual Reports as Topic, Urology & Nephrology, Clinical Sciences, Public Health and Health Services
Published
2015

16. Evaluating national trends in outcomes after implementation of a star rating system: Results from dialysis facility compare

Author

Salerno, Stephen, Dahlerus, Claudia, Messana, Joseph, Wisniewski, Karen, Tong, Lan, Hirth, Richard A., Affholter, Jordan, Gremel, Garrett, Wu, YiFan, Zhu, Ji, Roach, Jesse, Balovlenkov, Elena, Andress, Joel, and Li, Yi

Subjects
Hemodialysis -- Patient outcomes, Medical care -- Quality management, Business, Health care industry
Abstract

Objective: To examine which factors are driving improvement in the Dialysis Facility Compare (DFC) star ratings and to test whether nonclinical facility characteristics are associated with observed longitudinal changes in the star ratings. Data Sources: Data were collected from eligible patients in over 6,000 Medicare-certified dialysis facilities from three annual star rating and individual measure updates, publicly released on DFC in October 2015, October 2016, and April 2018. Study Design: Changes in the star rating and individual quality measures were investigated across three public data releases. Year-to-year changes in the star ratings were linked to facility characteristics, adjusting for baseline differences in quality measure performance. Data Collection: Data from publicly reported quality measures, including standardized mortality, hospitalization, and transfusion ratios, dialysis adequacy, type of vascular access for dialysis, and management of mineral and bone disease, were extracted from annual DFC data releases. Principal Findings: The proportion of four- and five-star facilities increased from 30.0% to 53.4% between October 2015 and April 2018. Quality improvement was driven by the domain of care containing the dialysis adequacy and hypercalcemia measures. Additionally, independently owned facilities and facilities belonging to smaller dialysis organizations had significantly lower odds of year-to-year improvement than facilities belonging to either of the two large dialysis organizations (Odds Ratio [OR]: 0.736,95% Confidence Interval [CI]: 0.631-0.856 and OR: 0.797, 95% CI: 0.723-0.879, respectively). Conclusions: The percentage of four- and five-star facilities has increased markedly over a three-year time period. These changes were driven by improvement in the specific quality measures that may be most directly under the control of the dialysis facility. KEYWORDS public reporting, quality measures, star ratings, dialysis, medicare, 1 | INTRODUCTION In 2000, Dialysis Facility Compare (DFC) emerged as one of the earliest public reporting programs implemented by the Centers for Medicare & Medicaid Services (CMS) and has [...]

Published
2021
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17. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US

Author

Zhang, Boya, primary, Weuve, Jennifer, additional, Langa, Kenneth M., additional, D’Souza, Jennifer, additional, Szpiro, Adam, additional, Faul, Jessica, additional, Mendes de Leon, Carlos, additional, Gao, Jiaqi, additional, Kaufman, Joel D., additional, Sheppard, Lianne, additional, Lee, Jinkook, additional, Kobayashi, Lindsay C., additional, Hirth, Richard, additional, and Adar, Sara D., additional

Published
2023
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32. Persistent Variation in Medicare Payment Authorization for Home Hemodialysis Treatments

Author

Wilk, Adam S., Hirth, Richard A., Zhang, Wei, Wheeler, John R.C., Turenne, Marc N., Nahra, Tammie A., Sleeman, Kathryn K., and Messana, Joseph M.

Subjects
United States. Centers for Medicare and Medicaid Services -- Health policy, Electronic records -- Usage, Medicare -- Information management, Prospective payment systems (Medical care) -- Information management, Health insurance -- Information management, Company systems management, Business, Health care industry
Abstract

Objective. To analyze variation in medical care use attributable to Medicare's decentralized claims adjudication process as exemplified in home hemodialysis (HHD) therapy. Data Sources/Study Setting. Secondary data analysis using 2009-2012 paid Medicare claims for HHD and in-center hemodialysis (IHD). Study Design. We compared variation across Medicare administrative contractors (MACs) in predicted paid treatments per standardized patient-month for HHD and IHD patients. We used ordinary least-squares regression to determine whether higher paid HHD treatment counts expanded HHD programs' presence among dialysis facilities. Data Collection. We identified HHD and IHD treatments using procedure, revenue center, and claim condition codes on type 72x claims. Principal Findings. MACs varied persistently in predicted HHD treatments per patient-month, ranging from 14.3 to 21.9 treatments versus 10.9 to 12.4 IHD treatments. The presence of facilities' HHD programs was uncorrelated with average HHD payment counts. Conclusions. Medicare's claims adjudication process promotes variation in medical care use, as we observe among HHD patients. MACs' discretionary decision making, while potentially facilitating innovation, may admit inefficiency in care practice as well as inequitable access to health care services. Regulators should weigh the benefits of flexibility in local coverage decisions against those of national standards for medical necessity. Key Words. Variation, Medicare, dialysis, It is a basic assumption of much of the geographic variation literature that Medicare beneficiaries have coverage for the same set of services if they receive care in Alaska or [...]

Published
2018
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35. Long-Term Air Pollution Exposure and Loss of Independence in the U.S.

Author

Zhang, Boya, primary, Mendes de Leon, Carlos, additional, Weuve, Jennifer, additional, Langa, Kenneth M., additional, D'Souza, Jennifer, additional, Szpiro, Adam A., additional, Faul, Jessica, additional, Gao, Jiaqi, additional, Kaufman, Joel, additional, Hirth, Richard, additional, and Adar, Sara D., additional

Published
2022
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42. Impacts of geographic distance on peritoneal dialysis utilization: Refining models of treatment selection

Author

Wang, Virginia, Maciejewski, Matthew L., Coffman, Cynthia J., Sanders, Linda L., Lee, Shoou-Yih Daniel, Hirth, Richard, and Messana, Joseph

Subjects
Medical research -- Analysis -- Evaluation, Medicine, Experimental -- Analysis -- Evaluation, Business, Health care industry
Abstract

Objective. To examine the relationship between distance to dialysis provider and patient selection of dialysis modality, informed by the absolute distance from a patient's home and relative distance of alternative [...]

Published
2017
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44. The Impact of COVID-19 on Postdischarge Outcomes for Dialysis Patients in the United States: Evidence from Medicare Claims Data

Author

Wu, Wenbo, primary, Gremel, Garrett W., additional, He, Kevin, additional, Messana, Joseph M., additional, Sen, Ananda, additional, Segal, Jonathan H., additional, Dahlerus, Claudia, additional, Hirth, Richard A., additional, Kang, Jian, additional, Wisniewski, Karen, additional, Nahra, Tammie, additional, Padilla, Robin, additional, Tong, Lan, additional, Gu, Haoyu, additional, Wang, Xi, additional, Slowey, Megan, additional, Eckard, Ashley, additional, Ding, Xuemei, additional, Borowicz, Lisa, additional, Du, Juan, additional, Frye, Brandon, additional, and Kalbfleisch, John D., additional

Published
2022
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45. Association of the Comprehensive ESRD Care Model with Treatment Adherence

Author

Hirth, Richard A., primary, Nahra, Tammie, additional, Segal, Jonathan H., additional, Gunden, Joseph, additional, Marrufo, Grecia, additional, Negrusa, Brighita, additional, Boyer, Gregory, additional, Jiao, Amy, additional, Sleeman, Kathryn, additional, Dahlerus, Claudia, additional, Wiens, Jennifer, additional, Ullman, Darin, additional, Bacon, Kelsey, additional, Strubler, Daniel, additional, Braun, Rebecca, additional, Ackerman, Ariana, additional, and Li, Yi, additional

Published
2022
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50. Case Management: Effects of Improved Risk and Value Information

Author

Weissert, William G., Hirth, Richard A., Chernew, Michael E., Diwan, Sadhna, and Kim, Jinkyung

Abstract

Purpose: The purpose of this study was to determine the impact on resource use of providing case managers with information on the potential for patients to benefit from home care services. Design and Methods: Twenty-four case managers working in the Arizona Long Term Care System (ALTCS) were randomized into treatment and control groups. Members of the treatment group were given patient assessments for 25 ALTCS clients, estimates of the patients' risks for various adverse outcomes, and estimates of the aggregate potential benefit for each patient. Members of the control group were given only patient assessments (as is usual practice) for the same sample of 25 clients. Both groups were asked to independently write nonbinding care plans for each patient. The cost of each case manager's care plans was computed by multiplying standard costs per service times the mix and volume of services prescribed for each patient. Results: Treatment group care plan costs were, on average, lower than control group costs and closely tracked variation in estimated patient risks. Comparison group care plan costs were unrelated to risks. Implications: Information about risk and potential benefit can improve targeting of services to long-term-care clients. A prospective study using such an approach is warranted to see if provision of risk and potential benefit information would produce better clinical and economic outcomes.

Published
2003

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