Wide variation and rising utilization of stroke magnetic resonance imaging: Data from 11 States
dc.contributor.author | Burke, James F. | en_US |
dc.contributor.author | Kerber, Kevin A. | en_US |
dc.contributor.author | Iwashyna, Theodore J. | en_US |
dc.contributor.author | Morgenstern, Lewis B. | en_US |
dc.date.accessioned | 2012-03-16T15:53:33Z | |
dc.date.available | 2013-04-01T14:17:25Z | en_US |
dc.date.issued | 2012-02 | en_US |
dc.identifier.citation | Burke, James F.; Kerber, Kevin A.; Iwashyna, Theodore J.; Morgenstern, Lewis B. (2012). "Wide variation and rising utilization of stroke magnetic resonance imaging: Data from 11 States." Annals of Neurology 71(2): 179-185. <http://hdl.handle.net/2027.42/90061> | en_US |
dc.identifier.issn | 0364-5134 | en_US |
dc.identifier.issn | 1531-8249 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/90061 | |
dc.description.abstract | Objective: Neuroimaging is an essential component of the acute stroke evaluation. Magnetic resonance imaging (MRI) is more accurate than computed tomography (CT) for the diagnosis of stroke, but is more costly and time‐consuming. We sought to describe changes in MRI utilization from 1999 to 2008. Methods: We performed a serial cross‐sectional study with time trends of neuroimaging in patients with a primary International Classification of Diseases, 9th Edition, Clinical Modification discharge diagnosis of stroke admitted through the emergency department in the State Inpatient Databases from 10 states. MRI utilization was measured by Healthcare Cost and Utilization Project criteria. Data were included for states from 1999 to 2008 where MRI utilization could be identified. Results: A total of 624,842 patients were hospitalized for stroke in the period of interest. MRI utilization increased in all states. Overall, MRI absolute utilization increased 38%, and relative utilization increased 235% (28% of strokes in 1999 to 66% in 2008). Over the same interval, CT utilization changed little (92% in 1999 to 95% in 2008). MRI use varied widely by state. In 2008, MRI utilization ranged from a low of 55% of strokes in Oregon to a high of 79% in Arizona. Diagnostic imaging was the fastest growing component of total hospital costs (213% increase from 1999 to 2007). Interpretation: MRI utilization during stroke hospitalization increased substantially, with wide geographic variation. Rather than replacing CT, MRI is supplementing it. Consequently, neuroimaging has been the fastest growing component of hospitalization cost in stroke. Recent neuroimaging practices in stroke are not standardized and may represent an opportunity to improve the efficiency of stroke care. Ann Neurol 2012;71:179–185 | en_US |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.title | Wide variation and rising utilization of stroke magnetic resonance imaging: Data from 11 States | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Psychiatry | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Robert Wood Johnson Clinical Scholars Program, University of Michigan Medical School, 6312 Medical Science Building 1, Ann Arbor MI, 48109; Fax: (734) 647‐3301 | en_US |
dc.contributor.affiliationum | Robert Wood Johnson Clinical Scholars Program, University of Michigan | en_US |
dc.contributor.affiliationum | Stroke Program, University of Michigan Health System | en_US |
dc.contributor.affiliationum | Division of Pulmonary and Critical Care, Department of Medicine, University of Michigan | en_US |
dc.contributor.affiliationum | Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI | en_US |
dc.contributor.affiliationother | Department of Veterans Affairs, VA Center for Clinical Management and Research, Ann Arbor VA Healthcare System | en_US |
dc.identifier.pmid | 22367989 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/90061/1/22698_ftp.pdf | |
dc.identifier.doi | 10.1002/ana.22698 | en_US |
dc.identifier.source | Annals of Neurology | en_US |
dc.identifier.citedreference | Wennberg JE, Cooper MM, eds. The Dartmouth atlas of health care 1999. Chicago, IL: American Hospital Publishing, 1999. | en_US |
dc.identifier.citedreference | Culebras A, Kase CS, Masdeu JC, et al. Practice guidelines for the use of imaging in transient ischemic attacks and acute stroke. A report of the Stroke Council, American Heart Association. Stroke 1997; 28: 1480 – 1497. | en_US |
dc.identifier.citedreference | Olsen TS, Langhorne P, Diener HC, et al. European Stroke Initiative recommendations for stroke management‐update 2003. Cerebrovasc Dis 2003; 16: 311 – 337. | en_US |
dc.identifier.citedreference | HCUP state inpatient databases. Rockville, MD: Agency for Healthcare Research and Quality, 1999‐2009. Available at: http://www.hcup‐us.ahrq.gov/sidoverview.jsp. Accessed August 31, 2011. | en_US |
dc.identifier.citedreference | Goldstein LB. Accuracy of ICD‐9‐CM coding for the identification of patients with acute ischemic stroke: effect of modifier codes. Stroke 1998; 29: 1602 – 1604. | en_US |
dc.identifier.citedreference | Tirschwell DL, Longstreth WT. Validating administrative data in stroke research. Stroke 2002; 33: 2465 – 2470. | en_US |
dc.identifier.citedreference | HCUP clinical classifications software for ICD‐9‐CM. Rockville, MD: Agency for Healthcare Research and Quality. Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/ccs/ccs.jsp. Accessed August 31, 2011. | en_US |
dc.identifier.citedreference | Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD‐9‐CM and ICD‐10 administrative data. Med Care 2005; 43: 1130 – 1139. | en_US |
dc.identifier.citedreference | Goldstein LB, Samsa GP, Matchar DB, Horner RD. Charlson index comorbidity adjustment for ischemic stroke outcome studies. Stroke 2004; 35: 1941 – 1945. | en_US |
dc.identifier.citedreference | HCUP utilization flags. Rockville, MD: Agency for Healthcare Research and Quality, 2003. Available at: http://www.hcup‐us. ahrq. gov/toolssoftware/util_flags/utilflag.jsp. Accessed August 31, 2011. | en_US |
dc.identifier.citedreference | Dismuke CE. Underreporting of computed tomography and magnetic resonance imaging procedures in inpatient claims data. Med Care 2005; 43: 713 – 717. | en_US |
dc.identifier.citedreference | Elixhauser A, Barrett M, Nisbet J. Development of utilization flags for use with UB‐92 administrative data. Rockville, MD: Agency for Healthcare Research and Quality, 2006. Available at: http://www.hcup‐us. ahrq.gov/reports/methods.jsp. Accessed date February 16, 2011. | en_US |
dc.identifier.citedreference | Appendix on the geography of health care in the United States. Available at: http://www.dartmouthatlas.org/downloads/methods/geogappdx.pdf. Accessed on February 16, 2011. | en_US |
dc.identifier.citedreference | Sirovich B, Gallagher PM, Wennberg DE, Fisher ES. Discretionary decision making by primary care physicians and the cost of U.S. health care. Health Affairs 2008; 27: 813 – 823. | en_US |
dc.identifier.citedreference | HCUP cost‐to‐charge ratio files (CCR). Rockville, MD: Agency for Healthcare Research and Quality, 2001‐2008. Available at: http://www.hcup‐us.ahrq.gov/db/state/costtocharge.jsp. Accessed August 31, 2011. | en_US |
dc.identifier.citedreference | Using appropriate price indices for analyses of health care expenditures or income across multiple years. Rockville, MD: Medical Expenditure Panel Survey. Available at: http://www.meps.ahrq. gov/mepsweb/about_meps/Price_Index.shtml. Accessed date February 16, 2011. | en_US |
dc.identifier.citedreference | Singer OC, Sitzer M, du Mesnil de Rochemont R, Neumann‐Haefelin T. Practical limitations of acute stroke MRI due to patient‐related problems. Neurology 2004; 62: 1848 – 1849. | en_US |
dc.identifier.citedreference | Hand PJ, Wardlaw JM, Rowat AM, et al. Magnetic resonance brain imaging in patients with acute stroke: feasibility and patient related difficulties. J Neurol Neurosurg Psychiatry 2005; 76: 1525 – 1527. | en_US |
dc.identifier.citedreference | Anthony DL, Herndon MB, Gallagher PM, et al. How much do patients' preferences contribute to resource use? Health Aff (Millwood) 2009; 28: 864 – 873. | en_US |
dc.identifier.citedreference | Latchaw RE, Alberts MJ, Lev MH, et al. Recommendations for imaging of acute ischemic stroke. a scientific statement from the American Heart Association. Stroke 2009; 40: 3646 – 3678. | en_US |
dc.identifier.citedreference | Schellinger PD, Bryan RN, Caplan LR, et al. Evidence‐based guideline: the role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology 2010; 75: 177 – 185. | en_US |
dc.identifier.citedreference | European Stroke Organisation (ESO) Executive Committee; ESO Writing Committee. Guidelines for management of ischaemic stroke and transient ischaemic attack 2008. Cerebrovasc Dis 2008; 25: 457 – 507. | en_US |
dc.identifier.citedreference | Majersik JJ, Smith MA, Zahuranec DB, et al. Population‐based analysis of the impact of expanding the time window for acute stroke treatment. Stroke 2007; 38: 3213 – 3217. | en_US |
dc.identifier.citedreference | Schellinger PD, Jansen O, Fiebach JB, et al. Feasibility and practicality of MR imaging of stroke in the management of hyperacute cerebral ischemia. Am J Neuroradiol 2000; 21: 1184. | en_US |
dc.identifier.citedreference | Brazzelli M, Sandercock PA, Chappell FM, et al. Magnetic resonance imaging versus computed tomography for detection of acute vascular lesions in patients presenting with stroke symptoms. Cochrane Database Syst Rev 2009;( 4 ): CD007424. | en_US |
dc.identifier.citedreference | Barber PA, Darby DG, Desmond PM, et al. Identification of major ischemic change. Diffusion‐weighted imaging versus computed tomography. Stroke 1999; 30: 2059 – 2065. | en_US |
dc.identifier.citedreference | Fiebach JB, Schellinger PD, Jansen O, et al. CT and diffusion‐weighted MR imaging in randomized order: diffusion‐weighted imaging results in higher accuracy and lower interrater variability in the diagnosis of hyperacute ischemic stroke. Stroke 2002; 33: 2206 – 2210. | en_US |
dc.identifier.citedreference | Chalela J, Kidwell C, Nentwich L, Luby M. Magnetic resonance imaging and computed tomography in emergency assessment of patients with suspected acute stroke: a prospective comparison. Lancet 2007; 369: 293 – 298. | en_US |
dc.identifier.citedreference | González RG, Schaefer PW, Buonanno FS, et al. Diffusion‐weighted MR imaging: diagnostic accuracy in patients imaged within 6 hours of stroke symptom onset. Radiology 1999; 210: 155 – 162. | en_US |
dc.identifier.citedreference | Morgenstern LB, Hemphill JC, Anderson C, et al. Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2010; 41: 2108 – 2129. | en_US |
dc.identifier.citedreference | Wardlaw JM, Keir SL, Seymour J, et al. What is the best imaging strategy for acute stroke? Health Technol Assess 2004; 8: iii, ix – x, 1 – 180. | en_US |
dc.identifier.citedreference | Bryan R, Levy L, Whitlow W, et al. Diagnosis of acute cerebral infarction: comparison of CT and MR imaging. Am J Neuroradiol 1991; 12: 611. | en_US |
dc.identifier.citedreference | Schulz UG, Briley D, Meagher T, et al. Diffusion‐weighted MRI in 300 patients presenting late with subacute transient ischemic attack or minor stroke. Stroke 2004; 35: 2459 – 2465. | en_US |
dc.identifier.citedreference | Barber PA. Is diffusion‐weighted imaging helpful in determining the source of stroke? Commentary. Nat Rev Neurol 2006; 2: 424 – 425. | en_US |
dc.identifier.citedreference | Gass A, Ay H, Szabo K, Koroshetz WJ. Diffusion‐weighted MRI for the “small stuff”: the details of acute cerebral ischaemia. Lancet Neurol 2004; 3: 39 – 45. | en_US |
dc.identifier.citedreference | Wessels T, Wessels C, Ellsiepen A, et al. Contribution of diffusion‐weighted imaging in determination of stroke etiology. AJNR Am J Neuroradiol 2006; 27: 35 – 39. | en_US |
dc.identifier.citedreference | Albers GW, Lansberg MG, Norbash AM, et al. Yield of diffusion‐weighted MRI for detection of potentially relevant findings in stroke patients. Neurology 2000; 54: 1562 – 1567. | en_US |
dc.identifier.citedreference | Medicare: trends in fees, utilization, and expenditures for imaging services before and after implementation of the Deficit Reduction Act of 2005. Washington, DC: Government Accountability Office, 2008. | en_US |
dc.identifier.citedreference | Adams HP Jr, Del Zoppo GJ, Alberts MJ, et al. Guidelines for the early management of adults with ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: the American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. Stroke 2007; 38: 1655 – 1711. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.