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Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications

dc.contributor.authorVenkatesh, Arjun K.
dc.contributor.authorMei, Hao
dc.contributor.authorE. Kocher, Keith
dc.contributor.authorGranovsky, Michael
dc.contributor.authorObermeyer, Ziad
dc.contributor.authorSpatz, Erica S.
dc.contributor.authorRothenberg, Craig
dc.contributor.authorKrumholz, Harlan M.
dc.contributor.authorLin, Zhenqui
dc.date.accessioned2017-05-10T17:48:15Z
dc.date.available2018-05-15T21:02:51Zen
dc.date.issued2017-04
dc.identifier.citationVenkatesh, Arjun K.; Mei, Hao; E. Kocher, Keith; Granovsky, Michael; Obermeyer, Ziad; Spatz, Erica S.; Rothenberg, Craig; Krumholz, Harlan M.; Lin, Zhenqui (2017). "Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications." Academic Emergency Medicine 24(4): 422-431.
dc.identifier.issn1069-6563
dc.identifier.issn1553-2712
dc.identifier.urihttps://hdl.handle.net/2027.42/136706
dc.description.abstractObjectivesAdministrative claims data sets are often used for emergency care research and policy investigations of healthcare resource utilization, acute care practices, and evaluation of quality improvement interventions. Despite the high profile of emergency department (ED) visits in analyses using administrative claims, little work has evaluated the degree to which existing definitions based on claims data accurately captures conventionally defined hospital‐based ED services. We sought to construct an operational definition for ED visitation using a comprehensive Medicare data set and to compare this definition to existing operational definitions used by researchers and policymakers.MethodsWe examined four operational definitions of an ED visit commonly used by researchers and policymakers using a 20% sample of the 2012 Medicare Chronic Condition Warehouse (CCW) data set. The CCW data set included all Part A (hospital) and Part B (hospital outpatient, physician) claims for a nationally representative sample of continuously enrolled Medicare fee‐for‐services beneficiaries. Three definitions were based on published research or existing quality metrics including: 1) provider claims–based definition, 2) facility claims–based definition, and 3) CMS Research Data Assistance Center (ResDAC) definition. In addition, we developed a fourth operational definition (Yale definition) that sought to incorporate additional coding rules for identifying ED visits. We report levels of agreement and disagreement among the four definitions.ResultsOf 10,717,786 beneficiaries included in the sample data set, 22% had evidence of ED use during the study year under any of the ED visit definitions. The definition using provider claims identified a total of 4,199,148 ED visits, the facility definition 4,795,057 visits, the ResDAC definition 5,278,980 ED visits, and the Yale definition 5,192,235 ED visits. The Yale definition identified a statistically different (p < 0.05) collection of ED visits than all other definitions including 17% more ED visits than the provider definition and 2% fewer visits than the ResDAC definition. Differences in ED visitation counts between each definition occurred for several reasons including the inclusion of critical care or observation services in the ED, discrepancies between facility and provider billing regulations, and operational decisions of each definition.ConclusionCurrent operational definitions of ED visitation using administrative claims produce different estimates of ED visitation based on the underlying assumptions applied to billing data and data set availability. Future analyses using administrative claims data should seek to validate specific definitions and inform the development of a consistent, consensus ED visitation definitions to standardize research reporting and the interpretation of policy interventions.
dc.publisherWiley Periodicals, Inc.
dc.publisherInstitute of Medicine
dc.titleIdentification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/136706/1/acem13140_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/136706/2/acem13140-sup-0001-DataSupplementS1.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/136706/3/acem13140.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/136706/4/acem13140-sup-0002-DataSupplementS2.pdf
dc.identifier.doi10.1111/acem.13140
dc.identifier.sourceAcademic Emergency Medicine
dc.identifier.citedreferenceVenkatesh AK, Geisler BP, Gibson Chambers JJ, Baugh CW, Bohan JS, Schuur JD. Use of observation care in US emergency departments, 2001 to 2008. PLoS One 2011; 6: e24326.
dc.identifier.citedreferenceKaskie B, Obrizan M, Jones MP, et al. Older adults who persistently present to the emergency department with severe, non‐severe, and indeterminate episode patterns. BMC Geriatr 2011; 11: 65.
dc.identifier.citedreferenceMeasure Methodology. Center for Medicare and Medicaid Services, 2016. Available at: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/Measure-Methodology.html. Accessed February 23, 2017.
dc.identifier.citedreferenceStuart M, Steinwachs D, Harlow J, Fox M. Ambulatory practice variation in Maryland: implications for Medicaid cost management. Health Care Financ Rev 1990;Spec. No.: 57 – 67.
dc.identifier.citedreferenceKocher KE, Nallamothu BK, Birkmeyer JD, Dimick JB. Emergency department visits after surgery are common for Medicare patients, suggesting opportunities to improve care. Health Aff (Millwood) 2013; 32: 1600 – 7.
dc.identifier.citedreferenceWiler JL, Poirier RF, Farley H, Zirkin W, Griffey RT. Emergency severity index triage system correlation with emergency department evaluation and management billing codes and total professional charges. Acad Emerg Med 2011; 18: 1161 – 6.
dc.identifier.citedreferenceED Facility Level Coding Guidelines. American College of Emergency Physicians, 2011. Available at: https://www.acep.org/content.aspx?id=30428. Accessed February 23, 2017.
dc.identifier.citedreferenceKaskie B, Obrizan M, Cook EA, et al. Defining emergency department episodes by severity and intensity: a 15‐year study of Medicare beneficiaries. BMC Health Serv Res 2010; 10: 1 – 13.
dc.identifier.citedreferenceRising KL, Victor TW, Hollander JE, Carr BG. Patient returns to the emergency department: the time‐to‐return curve. Acad Emerg Med 2014; 21: 864 – 71.
dc.identifier.citedreferenceLiu SW, Obermeyer Z, Chang Y, Shankar KN. Frequency of ED revisits and death among older adults after a fall. Am J Emerg Med 2015; 33: 1012 – 8.
dc.identifier.citedreferenceBlakeman JR. The Business of Emergency Medicine: 2012 Emergency Medicine CPT Statistics: Medicare. Milwaukee, WI: American Academy of Emergency Medicine, 2012.
dc.identifier.citedreferencePlace of Service Codes for Professional Claims Database. Place of Service Code Set 2015.
dc.identifier.citedreferenceWiler JL, Ross MA, Ginde AA. National study of emergency department observation services. Acad Emerg Med 2011; 18: 959 – 65.
dc.identifier.citedreferenceObservation ‐ Physician Coding FAQ. American College of Emergency Physicians, 2016. Available at: http://www.acep.org/Clinical-Practice-Management/Observation-Physician-Coding-FAQ/. Accessed February 23, 2017.
dc.identifier.citedreferenceICAHN IL Medicaid Hospital Rate Reform. Illinois Critical Access Hospital Network, 2014. Available at: http://www.icahn.org/files/Documents_and_Presentations/Jodie_Edmonds/ICAHN_webinar_051514.pdf. Accessed February 23, 2017.
dc.identifier.citedreferenceMedicare Claims Processing Manual. Baltimore, MD: Centers for Medicare & Medicaid Services, 2016.
dc.identifier.citedreferenceCan Hospitals Bill Medicare for the Lowest Level ER Visit for Patients Who Check into the ER and Are “triaged” through a Limited Evaluation by a Nurse but Leave the ER before Seeing a Physician? Centers for Medicare & Medicaid Services. Accessed at: https://questions.cms.gov/faq.php?id=5005&faqId=2297. Accessed February 23, 2017.
dc.identifier.citedreferenceNiedzwiecki M, Baicker K, Wilson M, Cutler DM, Obermeyer Z. Short‐term outcomes for Medicare beneficiaries after low‐acuity visits to emergency departments and clinics. Med Care 2016; 54: 498 – 503.
dc.identifier.citedreferenceKrumholz HM, Wang Y, Mattera JA, et al. An administrative claims model suitable for profiling hospital performance based on 30‐day mortality rates among patients with an acute myocardial infarction. Circulation 2006; 113: 1683 – 92.
dc.identifier.citedreferenceLindenauer PK, Normand SL, Drye EE, et al. Development, validation, and results of a measure of 30‐day readmission following hospitalization for pneumonia. J Hosp Med 2011; 6: 142 – 50.
dc.identifier.citedreferenceHechenbleikner EM, Makary MA, Samarov DV, et al. Hospital readmission by method of data collection. J Am Coll Surg 2013; 216: 1150 – 8.
dc.identifier.citedreferenceHorwitz LI, Partovian C, Lin Z, et al. Development and use of an administrative claims measure for profiling hospital‐wide performance on 30‐day unplanned readmission. Ann Intern Med 2014; 161: S66 – 75.
dc.identifier.citedreferenceGarland A, Gershengorn HB, Marrie RA, Reider N, Wilcox ME. A practical, global perspective on using administrative data to conduct intensive care unit research. Ann Am Thorac Soc 2015; 12: 1373 – 86.
dc.identifier.citedreferenceVoss EA, Ma Q, Ryan PB. The impact of standardizing the definition of visits on the consistency of multi‐database observational health research. BMC Med Res Methodol 2015; 15: 13.
dc.identifier.citedreferenceIezzoni LI. Assessing quality using administrative data. Ann Intern Med 1997; 127: 666 – 74.
dc.identifier.citedreferenceHirshon JM, Warner M, Irvin CB, et al. Research using emergency department‐related data sets: current status and future directions. Acad Emerg Med 2009; 16: 1103 – 9.
dc.identifier.citedreferenceTaubman SL, Allen HL, Wright BJ, Baicker K, Finkelstein AN. Medicaid increases emergency‐department use: evidence from Oregon’s Health Insurance Experiment. Science 2014; 343: 263 – 8.
dc.identifier.citedreferenceJoynt KE, Gawande AA, Orav E, Jha AK. Contribution of preventable acute care spending to total spending for high‐cost Medicare patients. JAMA 2013; 309: 2572 – 8.
dc.identifier.citedreferenceFriedberg MW, Schneider EC, Rosenthal MB, Volpp KG, Werner RM. Association between participation in a multipayer medical home intervention and changes in quality, utilization, and costs of care. JAMA 2014; 311: 815 – 25.
dc.identifier.citedreferenceHospital‐Based Emergency Care. At the Breaking Point. Washington, DC: Institute of Medicine, 2007.
dc.identifier.citedreferenceIntroduction to the HCUP State Emergency Department Databases (SEDD). Healthcare Cost and Utilization Project (HCUP). Agency for Healthcare Research and Quality, 2016. Available at: www.hcup-us.ahrq.gov/db/state/sedddist/SEDD_Introduction.jsp. Accessed February 23, 2017.
dc.identifier.citedreferenceHow to Identify Hospital Claims for Emergency Room Visits in the Medicare Claims Data. Research Data Assistance Center, 2015. Available at: http://www.resdac.org/resconnect/articles/144. Accessed February 23, 2017.
dc.identifier.citedreferenceTavenner M, Niall B. CMS Progress Towards Greater Data Transparency. Health Affairs Blog July 31, 2013.
dc.identifier.citedreferenceKuehl DR, Berdahl CT, Jackson TD, et al. Advancing the use of administrative data for emergency department diagnostic imaging research. Acad Emerg Med 2015; 22: 1417 – 26.
dc.identifier.citedreferenceChronic Conditions Data Warehouse. Center for Medicare and Medicaid Services, 2016. Available at: https://www.ccwdata.org/web/guest/home. Accessed January 23, 2017.
dc.identifier.citedreferenceDuszak R Jr, Allen B Jr, Hughes DR, et al. Emergency department CT of the abdomen and pelvis: preferential utilization in higher complexity patient encounters. J Am Coll Radiol 2012; 9: 409 – 13.
dc.identifier.citedreferenceStudnicki J, Platonova EA, Fisher JW. Hospital‐level variation in the percentage of admissions originating in the emergency department. Am J Emerg Med 2012; 30: 1441 – 6.
dc.identifier.citedreferenceDudas RA, Monroe D, McColligan Borger M. Community pediatric hospitalists providing care in the emergency department: an analysis of physician productivity and financial performance. Pediatr Emerg Care 2011; 27: 1099 – 103.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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