capture of acute myocardial infarctions occurring at non-va hospitals by outpatient, va healthcare...

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Capture of acute myocardial infarctions occurring at non-VA hospitals by outpatient, VA Healthcare System ICD-9 codes CONCLUSIONS 1.NVH records can be successfully captured by thorough investigation, quality event information, and request follow-up. Ascertaining NVH event occurrence through the EMR, we can assist participant recall, addressing issues with self report. 2.The VA EMR achieves a high capture of actual NVH AMI events. 90% by administrative or physician documentation 80% in entirety and completeness equal to that of the original NVH record, for the purpose of adjudication. 3. Outpatient VA administrative data reflect events occurring outside the VA, based on preliminary data and a small number of events Preliminary analysis suggests outpatient VA ICD-9 codes may be an acceptable measure for accounting for NVH AMI events Future work will focus on sensitivity, specificity, positive and negative predictive values of ICD-9 codes for AMI and other CVD events, once all events have been adjudicated\ We will also continue to review the VA clinical notes to better understand why physicians used a particular outpatient ICD-9 code (i.e., 410 vs. 414) to document a NVH AMI event. IMPLICATIONS LIMITATIONS Although promising, the outpatient ICD-9 code data for assessing NVH AMI events is still very preliminary. Completing the adjudication process in the VACS cohort will provide a more definitive answer to this important question. Within the VA, events occurring prior to the adoption of the EMR may have no records archived and available. BACKGROUND The United States Veterans Administration Medical Care system (VA) has a large number of HIV infected and HIV uninfected patients at high risk for acute myocardial infarction (AMI). Whether AMI events occurring at non VAMC hospitals (NVH) in these groups are captured in subsequent outpatient visits within the VA is not clear. Our primary objectives were to: 1. Asses the feasibility and quality of our event ascertainment and capture of non-VA cardiovascular disease (CVD) events. 2. determine whether AMI events occurring at a NVH are captured by outpatient VA ICD-9 codes at post-MI follow-up VA outpatient clinic visits. Adjudication: • All CVD events meeting MI trigger criteria are adjudicated by 2 members of VACS Central Adjudication Committee Composed of physicians with expertise in CVD and HIV. 3 rd adjudicator serves as a tie-breaker, if disagreement. • Standardized adjudication protocol criteria adapted from established CHD cohorts, to include: • anginal symptoms, cardiac enzymes, and EKG abnormalities Assessment of the Adjudicated NVH AMI Event Capture: • Narrative notes and ICD-9 codes reviewed for capture by physician interpretations or of scanned original of NVH records . The University of Pittsburgh School of Medicine and The Center for Research on Health Care Authors: Travis A Rabbit 1,2,3 ; Amy Justice 4 ; Alberta Warner 5 ; Adeel A Butt 1,3 ; David Rimland 6 ; Sheldon Brown 7 ; Matthew Goetz 5 ; Cynthia Gibert 8 ; Maria Rodriquez- Barradas 9 ; Kathleen McGinnis 4 ; Stephen Gottlieb 10 ; Jason Sico 4 ; Hilary A Tindle 1 ; Heidi Crane 11 ; Matthew S Freiberg 1,2,3 1 University of Pittsburgh School of Medicine, Pittsburgh, PA; 2 University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA; 3 VA Pittsburgh Healthcare System, Pittsburgh, PA; 4 VA Connecticut Health Care System, West Haven Veterans Administration Medical Center (VAMC), West Haven, CT and the Yale University School of Medicine, New Haven, CT; 5 David Geffen School of Medicine, UCLA and the VA Greater Los Angeles Health Care System, Los Angeles, CA; 6 Emory University School of Medicine and Atlanta VAMC, Atlanta, Georgia; 7 James J. Peters VA Bronx, New York, Mount Sinai School of Medicine, New York , NY; 8 George Washington University School of Medicine and the Washington DC VAMC, Washington, D.C.; 9 Baylor College of Medicine and Michael E. DeBakey VAMC, Houston, TX; 10 University of Maryland School of Medicine, Baltimore, MD; 11 University of Washington, Seattle, WA ACKNOWLEDGEMENTS This work was supported by the Department of Veterans Affairs, the National Institute on Alcohol Abuse and Alcoholism (2U10AA13566), and by the National Heart, Lung and Blood Institute (3R01HL095136-03) ICD-9 Code Capture Of 21 adjudicated MI events,13 occurred between 1997-2008.* After reviewing post-AMI VA outpatient EMR ICD- 9 codes, 12 of 13 (92%) had outpatient codes consistent with CHD: * Cleaned data for ICD-9 codes were only available 1997-2008. Data from 2008-present will be available this year. RESULTS Table 1. Capture and Adjudication of NVH Records 3150 VACS participants surveyed 440 Participants reported ≥1 CVD events (AMI, CVA, PE, etc) 108 Participants self-reported NVH events 96 Participants’ self reported NHV medical records received 175 CVD events assembled from NVH records received 123 NVH events meeting trigger criteria for possible AMI 21 Adjudicated as a positive AMI Table 3. NVH CHD Event Capture by the VA EMR and Administrative Data % n CVD Event Capture by the VA EMR 80 17 Complete capture of the NVH event, with original records or comprehensive notes on hospital course, findings and interventions. 86 18 Any physician notes capture of the NVH AMI event 90 19 Any physician notes or an outpatient ICD-9 code following NVH discharge. Table 2. NVH Events ‘97-’08 with outpatient ICD-9 codes consistent with CHD n 410 411 414 6 x 4 x x x 1 x 1 x x • Veteran self-reported NVH records are requested by coordinators at all 8 VACS VAMC sites around the U.S.A. • NVH CVD events, all records requested up to 3 times until: 1.either achieving capture of the outside event, or 2.receiving notice of no available records. • Coordinators and participants re-contacted when a NVH had no record of the event or participant. • Obtained records assembled into event packets and de-identified Triaged NVH possible MI events by AMI trigger criteria (Figure 1) • VA events accessed through the electronic medical record (EMR) query- based computer program assembled based on MI trigger criteria algorithm NVH events listed as past medical history in the VA EMR persued by site coordinators to gain consent for request. METHODS Cohort : The Veterans Aging Cohort Study (VACS) is a prospective, longitudinal cohort of HIV infected and age, gender, race/ethnicity, and clinical site matched HIV uninfected Veterans. Ascertainment and request of CVD Events: •3150 Veterans surveyed on prior events including: RESULTS Continued Capture by Physician Notes : All 21 participants with adjudicated AMI NVH events had narrative notes available within the VA EMR. Figure 1. AMI Event Ascertainment, Capture, Assembly and Adjudication Methods Acute Myocardial Infarction Stroke Non-MI Coronary Heart Disease (CHD) Congestive Heart Failure Venous Thromboembolism Peripheral Artery Disease These preliminary results suggest that cohorts with access to an electronic medical records system may be able to use similar methods to ascertain CVD event records from hospitals outside of their system.

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Page 1: Capture of acute myocardial infarctions occurring at non-VA hospitals by outpatient, VA Healthcare System ICD-9 codes CONCLUSIONS 1.NVH records can be

Capture of acute myocardial infarctions occurring at non-VA hospitals by outpatient, VA Healthcare System ICD-9 codes

CONCLUSIONS1.NVH records can be successfully captured by thorough

investigation, quality event information, and request follow-up.

• Ascertaining NVH event occurrence through the EMR, we can assist participant recall, addressing issues with self report.

2.The VA EMR achieves a high capture of actual NVH AMI events.

• 90% by administrative or physician documentation

• 80% in entirety and completeness equal to that of the original NVH record, for the purpose of adjudication.

3. Outpatient VA administrative data reflect events occurring outside the VA, based on preliminary data and a small number of events

• Preliminary analysis suggests outpatient VA ICD-9 codes may be an acceptable measure for accounting for NVH AMI events

• Future work will focus on sensitivity, specificity, positive and negative predictive values of ICD-9 codes for AMI and other CVD events, once all events have been adjudicated\

• We will also continue to review the VA clinical notes to better understand why physicians used a particular outpatient ICD-9 code (i.e., 410 vs. 414) to document a NVH AMI event.

IMPLICATIONS

LIMITATIONSAlthough promising, the outpatient ICD-9 code data for assessingNVH AMI events is still very preliminary. Completing the adjudicationprocess in the VACS cohort will provide a more definitive answer tothis important question.

Within the VA, events occurring prior to the adoption of the EMR mayhave no records archived and available.

BACKGROUNDThe United States Veterans Administration Medical Care system (VA) has a large number of HIV infected and HIV uninfected patients at high risk for acute myocardial infarction (AMI). Whether AMI events occurring at non VAMC hospitals (NVH) in these groups are captured in subsequent outpatient visits within the VA is not clear.

Our primary objectives were to: 1. Asses the feasibility and quality of our event

ascertainment and capture of non-VA cardiovascular disease (CVD) events.

2. determine whether AMI events occurring at a NVH are captured by outpatient VA ICD-9 codes at post-MI follow-up VA outpatient clinic visits.

Adjudication:• All CVD events meeting MI trigger criteria are adjudicated by 2

members of VACS Central Adjudication Committee

Composed of physicians with expertise in CVD and HIV. 3rd adjudicator serves as a tie-breaker, if disagreement.

• Standardized adjudication protocol criteria adapted from established CHD cohorts, to include:• anginal symptoms, cardiac enzymes, and EKG abnormalities

Assessment of the Adjudicated NVH AMI Event Capture:• Narrative notes and ICD-9 codes reviewed for capture by

physician interpretations or of scanned original of NVH records .

The University of Pittsburgh School of Medicine and The Center for Research on Health Care

Authors: Travis A Rabbit1,2,3; Amy Justice4; Alberta Warner5; Adeel A Butt1,3; David Rimland6; Sheldon Brown7; Matthew Goetz5; Cynthia Gibert8; Maria Rodriquez-Barradas9; Kathleen McGinnis4; Stephen Gottlieb10; Jason Sico4; Hilary A Tindle1; Heidi Crane11; Matthew S Freiberg1,2,3

1University of Pittsburgh School of Medicine, Pittsburgh, PA; 2University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA; 3VA Pittsburgh Healthcare System, Pittsburgh, PA; 4VA Connecticut Health Care System, West Haven Veterans Administration Medical Center (VAMC), West Haven, CT and the Yale University School of Medicine, New Haven, CT; 5David Geffen School of Medicine, UCLA and the VA Greater Los Angeles Health Care System, Los Angeles, CA; 6Emory University School of Medicine and Atlanta VAMC, Atlanta, Georgia; 7James J. Peters VA Bronx, New York, Mount Sinai School of Medicine, New York , NY; 8George Washington University School of Medicine and the Washington DC VAMC, Washington, D.C.; 9Baylor College of Medicine and Michael E. DeBakey VAMC, Houston, TX; 10 University of Maryland School of Medicine, Baltimore, MD; 11University of Washington, Seattle, WA

ACKNOWLEDGEMENTSThis work was supported by the Department of Veterans Affairs, the National Institute on Alcohol Abuse and Alcoholism (2U10AA13566), and by the National Heart, Lung and Blood Institute (3R01HL095136-03)

ICD-9 Code Capture:

• Of 21 adjudicated MI events,13 occurred between 1997-2008.*

• After reviewing post-AMI VA outpatient EMR ICD-9 codes, 12 of 13 (92%) had outpatient codes consistent with CHD:

* Cleaned data for ICD-9 codes were only available 1997-2008. Data from 2008-present will be available this year.

RESULTSTable 1. Capture and Adjudication of NVH Records

3150 VACS participants surveyed

440 Participants reported ≥1 CVD events (AMI, CVA, PE, etc)

108 Participants self-reported NVH events

96 Participants’ self reported NHV medical records received

175 CVD events assembled from NVH records received

123 NVH events meeting trigger criteria for possible AMI

21 Adjudicated as a positive AMI

Table 3. NVH CHD Event Capture by the VA EMR and Administrative Data

% n CVD Event Capture by the VA EMR

80 17 Complete capture of the NVH event, with original records or comprehensive notes on hospital course, findings and interventions.

86 18 Any physician notes capture of the NVH AMI event

90 19 Any physician notes or an outpatient ICD-9 code following NVH discharge.

Table 2. NVH Events ‘97-’08 with outpatient ICD-9 codes consistent with

CHD

n 410 411 4146 x4 x x x

1 x

1 x x

• Veteran self-reported NVH records are requested by coordinators at all 8 VACS VAMC sites around the U.S.A.

• NVH CVD events, all records requested up to 3 times until: 1.either achieving capture of the outside event, or

2.receiving notice of no available records. • Coordinators and participants re-contacted when a

NVH had no record of the event or participant.

• Obtained records assembled into event packets and de-identified

• Triaged NVH possible MI events by AMI trigger criteria (Figure 1)

• VA events accessed through the electronic medical record (EMR)

query- based computer program assembled based on MI trigger criteria algorithm NVH events listed as past medical history in the VA EMR

persued by site coordinators to gain consent for request.

METHODSCohort: The Veterans Aging Cohort Study (VACS) is a prospective, longitudinal cohort of HIV infected and age, gender, race/ethnicity, and clinical site matched HIV uninfected Veterans.

Ascertainment and request of CVD Events:

• 3150 Veterans surveyed on prior events including:

RESULTS Continued Capture by Physician Notes: All 21 participants with adjudicated AMI NVH events had narrative notes available within the VA EMR.

Figure 1. AMI Event Ascertainment, Capture, Assembly and Adjudication Methods

Acute Myocardial Infarction Stroke

Non-MI Coronary Heart Disease (CHD) Congestive Heart Failure

Venous Thromboembolism Peripheral Artery Disease

These preliminary results suggest that cohorts with access to an electronic medical records system may be able to use similar methods to ascertain CVD event records from hospitals outside of their system.