Dawn M Bravata1, Laura J Myers2, Eric Cheng2, Mathew Reeves2, Fitsum Baye2, Zhangsheng Yu2, Teresa Damush2, Edward J Miech2, Jason Sico2, Michael Phipps2, Alan Zillich2, Jason Johanning2, Seemant Chaturvedi2, Curt Austin2, Jared Ferguson2, Bailey Maryfield2, Kathy Snow2, Susan Ofner2, Glenn Graham2, Rachel Rhude2, Linda S Williams2, Greg Arling2. 1. From the Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Stroke Quality Enhancement Research Initiative (QUERI), Washington, DC (D.M.B., L.J.M., E.C., M.R., T.D., E.J.M., B.M., G.G., L.S.W., G.A.); VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B., L.J.M., T.D., E.J.M., C.A., J.F., B.M., K.S., L.S.W.); Department of Internal Medicine (D.M.B., L.J.M., T.D., E.J.M., C.A.) and Department of Neurology (D.M.B., L.S.W.), and Department of Emergency Medicine (E.J.M.), Indiana University School of Medicine, Indianapolis; Regenstrief Institute, Indianapolis, IN (D.M.B., T.D., E.J.M., L.S.W.); VA Nebraska-Western Iowa Health Care System-Omaha Division, Omaha, NE (J.J.); Department of Surgery, University of Nebraska, Lincoln (J.J.); Clinical Epidemiology Research Center, VA Connecticut Healthcare System, West Haven, CT (J.S.); Departments of Internal Medicine and Neurology, Yale University School of Medicine, New Haven, CT (J.S., J.F.); School of Nursing, Purdue University, West Lafayette, IN (G.A.); Department of Biostatistics, Indiana University School of Medicine, IUPUI, Indianapolis (F.B., Z.Y., S.O.); Department of Neurology, University of Maryland School of Medicine, Baltimore (M.P.); Miami VA Medical Center (S.C.); Department of Neurology, School of Medicine, University of Miami, FL (S.C.); Department of Pharmacy Practice, College of Pharmacy, Purdue University, West Lafayette, IN (A.Z.); Department of Epidemiology, Michigan State University, East Lansing (M.R.); Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, CA (E.C.); Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles (E.C.); and Department of Veterans Affairs, Office of Analytics and Business Intelligence, In-Patient Evaluation Center (IPEC), Cincinnati, OH (R.R.). Dawn.Bravata2@va.gov. 2. From the Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Stroke Quality Enhancement Research Initiative (QUERI), Washington, DC (D.M.B., L.J.M., E.C., M.R., T.D., E.J.M., B.M., G.G., L.S.W., G.A.); VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B., L.J.M., T.D., E.J.M., C.A., J.F., B.M., K.S., L.S.W.); Department of Internal Medicine (D.M.B., L.J.M., T.D., E.J.M., C.A.) and Department of Neurology (D.M.B., L.S.W.), and Department of Emergency Medicine (E.J.M.), Indiana University School of Medicine, Indianapolis; Regenstrief Institute, Indianapolis, IN (D.M.B., T.D., E.J.M., L.S.W.); VA Nebraska-Western Iowa Health Care System-Omaha Division, Omaha, NE (J.J.); Department of Surgery, University of Nebraska, Lincoln (J.J.); Clinical Epidemiology Research Center, VA Connecticut Healthcare System, West Haven, CT (J.S.); Departments of Internal Medicine and Neurology, Yale University School of Medicine, New Haven, CT (J.S., J.F.); School of Nursing, Purdue University, West Lafayette, IN (G.A.); Department of Biostatistics, Indiana University School of Medicine, IUPUI, Indianapolis (F.B., Z.Y., S.O.); Department of Neurology, University of Maryland School of Medicine, Baltimore (M.P.); Miami VA Medical Center (S.C.); Department of Neurology, School of Medicine, University of Miami, FL (S.C.); Department of Pharmacy Practice, College of Pharmacy, Purdue University, West Lafayette, IN (A.Z.); Department of Epidemiology, Michigan State University, East Lansing (M.R.); Department of Neurology, VA Greater Los Angeles Healthcare System, Los Angeles, CA (E.C.); Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles (E.C.); and Department of Veterans Affairs, Office of Analytics and Business Intelligence, In-Patient Evaluation Center (IPEC), Cincinnati, OH (R.R.).
Abstract
BACKGROUND: Despite interest in using electronic health record (EHR) data to assess quality of care, the accuracy of such data is largely unknown. We sought to develop and validate transient ischemic attack and minor ischemic stroke electronic quality measures (eQMs) using EHR data. METHODS AND RESULTS: A random sample of patients with transient ischemic attack or minor ischemic stroke, cared for in Veterans Health Administration facilities (fiscal year 2011), was identified. We constructed 31 eQMs based on existing quality measures. Chart review was the criterion standard for validating the eQMs. To evaluate eQMs in terms of eligibility, we calculated the proportion of patients who were genuinely not eligible to receive a process (based on chart review) and who were correctly identified as not eligible by the EHR data (specificity). To assess eQMs about classification of whether patients received a process, we calculated the proportion of patients who actually received the process (based on chart review) and who were classified correctly by the EHR data as passing (sensitivity). Seven hundred sixty-three patients were included. About eligibility, specificity varied from 25% (brain imaging; carotid imaging) to 99% (anticoagulation quality). About pass rates, sensitivity varied from 30% (antihypertensive class) to 100% (coronary risk assessment; international normalized ratio measured). The 16 eQMs with ≥70% specificity in eligibility and ≥70% sensitivity in pass rates included coronary risk assessment, international normalized ratio measured, HbA1c measurement, speech language pathology consultation, anticoagulation for atrial fibrillation, discharge on statin, lipid management, neurology consultation, Holter, deep vein thrombosis prophylaxis, oral hypoglycemic intensification, cholesterol medication intensification, antihypertensive intensification, antihypertensive class, carotid stenosis intervention, and substance abuse referral for alcohol. CONCLUSIONS: It is feasible to construct valid eQMs for processes of transient ischemic attack and minor ischemic stroke care. Healthcare systems with EHRs should consider using electronic data to evaluate care for their patients with transient ischemic attack and to complement and expand quality measurement programs currently focused on patients with stroke.
BACKGROUND: Despite interest in using electronic health record (EHR) data to assess quality of care, the accuracy of such data is largely unknown. We sought to develop and validate transient ischemic attack and minor ischemic stroke electronic quality measures (eQMs) using EHR data. METHODS AND RESULTS: A random sample of patients with transient ischemic attack or minor ischemic stroke, cared for in Veterans Health Administration facilities (fiscal year 2011), was identified. We constructed 31 eQMs based on existing quality measures. Chart review was the criterion standard for validating the eQMs. To evaluate eQMs in terms of eligibility, we calculated the proportion of patients who were genuinely not eligible to receive a process (based on chart review) and who were correctly identified as not eligible by the EHR data (specificity). To assess eQMs about classification of whether patients received a process, we calculated the proportion of patients who actually received the process (based on chart review) and who were classified correctly by the EHR data as passing (sensitivity). Seven hundred sixty-three patients were included. About eligibility, specificity varied from 25% (brain imaging; carotid imaging) to 99% (anticoagulation quality). About pass rates, sensitivity varied from 30% (antihypertensive class) to 100% (coronary risk assessment; international normalized ratio measured). The 16 eQMs with ≥70% specificity in eligibility and ≥70% sensitivity in pass rates included coronary risk assessment, international normalized ratio measured, HbA1c measurement, speech language pathology consultation, anticoagulation for atrial fibrillation, discharge on statin, lipid management, neurology consultation, Holter, deep vein thrombosis prophylaxis, oral hypoglycemic intensification, cholesterol medication intensification, antihypertensive intensification, antihypertensive class, carotid stenosis intervention, and substance abuse referral for alcohol. CONCLUSIONS: It is feasible to construct valid eQMs for processes of transient ischemic attack and minor ischemic stroke care. Healthcare systems with EHRs should consider using electronic data to evaluate care for their patients with transient ischemic attack and to complement and expand quality measurement programs currently focused on patients with stroke.
Authors: Dawn M Bravata; Laura J Myers; Greg Arling; Edward J Miech; Teresa Damush; Jason J Sico; Michael S Phipps; Alan J Zillich; Zhangsheng Yu; Mathew Reeves; Linda S Williams; Jason Johanning; Seemant Chaturvedi; Fitsum Baye; Susan Ofner; Curt Austin; Jared Ferguson; Glenn D Graham; Rachel Rhude; Chad S Kessler; Donald S Higgins; Eric Cheng Journal: JAMA Neurol Date: 2018-04-01 Impact factor: 18.302
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Authors: Lucinda B Leung; Lisa V Rubenstein; Erin Jaske; Leslie Taylor; Edward P Post; Karin M Nelson; Ann-Marie Rosland Journal: J Gen Intern Med Date: 2022-02-09 Impact factor: 6.473
Authors: Barbara J Homoya; Teresa M Damush; Jason J Sico; Edward J Miech; Gregory W Arling; Laura J Myers; Jared B Ferguson; Michael S Phipps; Eric M Cheng; Dawn M Bravata Journal: J Gen Intern Med Date: 2018-11-27 Impact factor: 5.128
Authors: Deborah A Levine; Anthony J Perkins; Jason J Sico; Laura J Myers; Michael S Phipps; Ying Zhang; Dawn M Bravata Journal: Stroke Date: 2021-05-27 Impact factor: 10.170
Authors: Stephen L Luther; Dezon K Finch; Lina Bouayad; James McCart; Ling Han; Steven K Dobscha; Melissa Skanderson; Samah J Fodeh; Bridget Hahm; Allison Lee; Joseph L Goulet; Cynthia A Brandt; Robert D Kerns Journal: Pain Date: 2021-09-15 Impact factor: 7.926
Authors: Dawn M Bravata; Laura J Myers; Mathew Reeves; Eric M Cheng; Fitsum Baye; Susan Ofner; Edward J Miech; Teresa Damush; Jason J Sico; Alan Zillich; Michael Phipps; Linda S Williams; Seemant Chaturvedi; Jason Johanning; Zhangsheng Yu; Anthony J Perkins; Ying Zhang; Greg Arling Journal: JAMA Netw Open Date: 2019-07-03