Samuel F. Hohmann
Rush University Medical Center
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Quality management in health care | 2010
Robert A. McNutt; Tricia J. Johnson; Richard Odwazny; Zachary Remmich; Kimberly A. Skarupski; Steven Meurer; Samuel F. Hohmann; Brian Harting
Context In October 2008, the Centers for Medicare & Medicaid Services reduced payments to hospitals for a group of hospital-acquired conditions (HACs) not documented as present on admission (POA). It is unknown what proportion of Medicare severity diagnosis related group (MS-DRG) assignments will change when the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis code for the HAC is not taken into account even before considering the POA status. Objectives The primary objectives were to estimate the proportion of cases that change MS-DRG assignment when HACs are removed from the calculation, the subsequent changes in reimbursement to hospitals, and the attenuation in changes in MS-DRG assignment after factoring in those that may be POA. Last, we explored the effect of the numbers of ICD-9-CM diagnosis codes on MS-DRG assignment. Methods We obtained 2 years of discharge data from academic medical centers that were members of the University HealthSystem Consortium and identified all cases with 1 of 7 HACs coded through ICD-9-CM diagnosis codes. We calculated the MS-DRG for each case with and without the HAC and, hence, the proportion where MS-DRG assignment changed. Next, we used a bootstrap method to calculate the range in the proportion of cases changing assignment to account for POA status. Changes in reimbursement were estimated by using the 2008 MS-DRG weights payment formula. Results Of 184 932 cases with at least 1 HAC, 27.6% (n = 52 272) would experience a change in MS-DRG assignment without the HAC factored into the assignment. After taking into account those conditions that were potentially POA, 7.5% (n = 14 176) of the original cases would change MS-DRG assignment, with an average loss in reimbursement per case ranging from
Journal of the American College of Cardiology | 2015
Giampaolo Greco; Wei Shi; Robert E. Michler; David O. Meltzer; Gorav Ailawadi; Samuel F. Hohmann; Vinod H. Thourani; Michael Argenziano; John H. Alexander; Kathy Sankovic; Lopa Gupta; Eugene H. Blackstone; Michael A. Acker; Mark J. Russo; Albert Lee; Sandra G. Burks; Annetine C. Gelijns; Emilia Bagiella; Alan J. Moskowitz; Timothy J. Gardner
1548 with a catheter-associated urinary tract infection to
Diabetes Care | 2016
Giampaolo Greco; Bart S. Ferket; David A. D’Alessandro; Wei Shi; Keith A. Horvath; Alexander Rosen; Stacey Welsh; Emilia Bagiella; Alexis E. Neill; Deborah L. Williams; Ann Greenberg; Jeffrey N. Browndyke; A. Marc Gillinov; Mary Lou Mayer; Jessica Keim-Malpass; Lopa Gupta; Samuel F. Hohmann; Annetine C. Gelijns; Patrick T. O'Gara; Alan J. Moskowitz
7310 for a surgical site infection. These reductions would translate into a total reimbursement loss of
Otolaryngology-Head and Neck Surgery | 2016
Alexander Langerman; Ronald A. Thisted; Samuel F. Hohmann; Michael D. Howell
50 261 692 (range:
Otolaryngology-Head and Neck Surgery | 2015
Alexander Langerman; Sandra A. Ham; Jennifer Pisano; Joseph J. Pariser; Samuel F. Hohmann; David O. Meltzer
38 330 747–
American Journal of Perinatology | 2015
Jason M. Kane; Jake Harbert; Samuel F. Hohmann; Srikumar Pillai; Rajneesh Behal; Debra Selip; Tricia J. Johnson
62 344 360) for the 86 academic medical centers. Those cases, for all conditions, with reductions in payment also have fewer additional ICD-9-CM codes associated. Conclusions Removing HACs from MS-DRG assignment may result in significant cost savings for the Centers for Medicare & Medicaid Services through reduced payment to hospitals. As more conditions are added, the negative impact on hospital reimbursement may become greater. However, it is possible that variation in coding practice may affect cost savings and not reflect true differences in quality of care.
Surgical Endoscopy and Other Interventional Techniques | 2015
Jason A. Glenn; Kiran K. Turaga; T. Clark Gamblin; Samuel F. Hohmann; Fabian M. Johnston
BACKGROUNDnHealth care-associated infections (HAIs) are the most common noncardiac complications after cardiac surgery and are associated with increased morbidity and mortality. Current information about their economic burden is limited.nnnOBJECTIVESnThis research was designed to determine the cost associated with major types of HAIs during the first 2xa0months after cardiac surgery.nnnMETHODSnProspectively collected data from a multicenter, observational study of the Cardiothoracic Surgery Clinical Trials Network, in which patients were monitored for infections for 65 days after surgery, were merged with related financial data routinely collected by the University HealthSystem Consortium. Incremental length of stay (LOS) and cost associated with HAIs were estimated using generalized linear models, with adjustments for patient demographics, clinical history, baseline laboratory values, and surgery type.nnnRESULTSnAmong 4,320 cardiac surgery patients (mean age: 64 ± 13 years), 119 (2.8%) experienced a major HAI during the index hospitalization. The most common HAIs were pneumonia (48%), sepsis (20%), and Clostridium difficile colitis (18%). On average, the estimated incremental cost associated with a major HAI was nearly
Journal of Cardiac Failure | 2016
Katherine F. Davis; Samuel F. Hohmann; Rami Doukky; David Levine; Tricia J. Johnson
38,000, of which 47% was related to intensive care unit services. The incremental LOS was 14 days. Overall, there were 849 readmissions; among these, 8.7% were attributed to major HAIs. The cost of readmissions due to major HAIs was, on average, nearly threefold that of readmissions not related to HAIs.nnnCONCLUSIONSnHospital cost, LOS, and readmissions are strongly associated with HAIs. These associations suggest the potential for large reductions in costs if HAIs following cardiac surgery can be reduced. (Management Practices and the Risk of Infections Following Cardiac Surgery; NCT01089712).
International journal of healthcare management | 2017
Surrey M. Walton; Tricia J. Johnson; Samuel F. Hohmann; Andy N. Garman
OBJECTIVE The management of postoperative hyperglycemia is controversial and generally does not take into account pre-existing diabetes. We analyzed clinical and economic outcomes associated with postoperative hyperglycemia in cardiac surgery patients, stratifying by diabetes status. RESEARCH DESIGN AND METHODS Multicenter cohort study in 4,316 cardiac surgery patients operated on in 2010. Glucose was measured at 6-h intervals for 48 h postoperatively. Outcomes included cost, hospital length of stay (LOS), cardiac and respiratory complications, major infections, and death. Associations between maximum glucose levels and outcomes were assessed with multivariable regression and recycled prediction analyses. RESULTS In patients without diabetes, increasing glucose levels were associated with a gradual worsening of outcomes. In these patients, hyperglycemia (≥180 mg/dL) was associated with an additional cost of
Studies in health technology and informatics | 2015
Anthony E. Solomonides; Satyender Goel; Denise M. Hynes; Jonathan C. Silverstein; Bala Hota; William E. Trick; Francisco Angulo; Ron Price; Eugene Sadhu; Susan Zelisko; James Fischer; Brian Furner; Andrew Hamilton; Jasmin Phua; Wendy Brown; Samuel F. Hohmann; David O. Meltzer; Elizabeth Tarlov; Frances M. Weaver; Helen Zhang; Thomas W. Concannon; Abel N. Kho
3,192 (95% CI 1,972 to 4,456), an additional hospital LOS of 0.8 days (0.4 to 1.3), an increase in infections of 1.6% (0.5 to 2.8), and an increase in respiratory complications of 2.6% (0.0 to 5.3). However, among patients with insulin-treated diabetes, optimal outcomes were associated with glucose levels considered to be hyperglycemic (180 to 240 mg/dL). This level of hyperglycemia was associated with cost reductions of