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Browsing by Author "Graham, Glenn"
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Item Development and Validation of Electronic Quality Measures to Assess Care for Patients With Transient Ischemic Attack and Minor Ischemic Stroke(AHA, 2017) Bravata, Dawn M.; Myers, Laura J.; Cheng, Eric; Reeves, Mathew; Baye, Fitsum; Zhangsheng, Yu; Damush, Teresa; Miech, Edward J.; Sico, Jason; Phipps, Michael; Zillich, Alan; Johanning, Jason; Chaturvedi, Seemant; Austin, Curt; Ferguson, Jared; Maryfield, Bailey; Snow, Kathy; Ofner, Susan; Graham, Glenn; Rhude, Rachel; Williams, Linda S.; Arling, Greg; Medicine, School of MedicineBackground—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.Item Provider Communication and Telepresence Enhance Veteran Satisfaction With Telestroke Consultations(American Heart Association, 2021) Lyerly, Michael; Selch, Griffin; Martin, Holly; LaPradd, Michelle; Ofner, Susan; Graham, Glenn; Anderson, Jane; Martini, Sharyl; Williams, Linda S.; Biostatistics and Health Data Science, School of MedicineBackground and purpose: Telestroke has been demonstrated to be a cost-effective means to expand access to care and improve outcomes in stroke; however, information on patient perceptions of this system of care delivery are limited. This study seeks to examine patient feedback of a national telestroke system within the Veterans Health Administration. Methods: Patients who received a telestroke consultation were eligible for a phone interview 2 weeks later, including questions about technology quality, telepresence, and telestroke provider communication. Satisfaction scores ranged from 1 to 7 (higher=more satisfied) and for analyses were dichotomized as 6 to 7 indicating high satisfaction versus <6. Patient variables including stroke severity (measured by the National Institutes of Health Stroke Scale) were obtained from study records. Generalized estimating equation models were used to determine what factors were associated with patient satisfaction. Results: Over 18 months, 186 interviews were completed, and 142 (76%) reported high satisfaction with telestroke. Patients with more severe stroke were less likely to recall the consultation. Factors significantly associated with patient satisfaction were higher ratings of the technology (P<0.0001), telepresence (P<0.0001), provider communication ratings (P<0.0001), and overall Veterans Affairs satisfaction (P=0.02). In the multivariate model, telepresence (odds ratio, 3.10 [95% CI, 1.81-5.31]) and provider ratings (odds ratio, 2.37 [95% CI, 1.20-4.68]) were independently associated with satisfaction. Veterans who were satisfied were more likely to recommend the technology (P<0.0001). Conclusions: Provider qualities, including telepresence and provider ratings, were associated with overall Veteran satisfaction with the telestroke consultation. Technology quality may be necessary but not sufficient to impact patient experience. Training providers to improve telepresence could improve patient experience with telestroke consultation.