Browsing by Author "Coffing, Jessica"

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    Adherence to Surveillance Guidelines in Nondysplastic Barrett’s Esophagus
    (Wolters Kluwer, 2016) Dalal, Kunal S.; Coffing, Jessica; Imperiale, Thomas F.; Department of Medicine, School of Medicine
    Introduction: Surveillance patterns in Barrett's esophagus (BE) are not well characterized. Guidelines published between 2002 and 2008 recommended surveillance esophagogastroduodenoscopy (sEGD) at 3-year intervals for nondysplastic BE (NDBE). We assessed guideline adherence in incident NDBE in a Veterans Affairs (VA)-based study. Methods: At a single VA center, we identified incident cases of biopsy-confirmed NDBE between January, 2006 and December, 2008. We excluded patients aged 76 years and above and those who developed BE-associated dysplasia or cancer during follow-up. All sEGDs through October, 2014 were documented. Our primary criteria classified cases as guideline adherent if a sEGD was performed within 6 months of each expected 3-year surveillance interval; in cases with >=2 sEGDs, 1 sEGD >6 months, and <=1 year outside an interval was allowed if the average interval was between 2.5 and 3.5 years. Comorbidity, primary care encounters, presence of long-segment BE (LSBE), endoscopist recommendations, and Charlson comorbidity index (CCI) were assessed. Results: We identified 110 patients (96.4% male, 93.6% white) with mean age 58.9+/-8.5 years at index EGD. Median follow-up was 6.7 years (range, 3.7 to 8.6). Thirty-three (30.0%) cases were guideline adherent; 77 (70.0%) cases were nonadherent, including 52 (47.3%) with irregular surveillance and 25 (22.7%) with no surveillance. Forty cases (14 adherent) had 1 sEGD, 36 (18 adherent) had 2, 8 (1 adherent) had 3, and 1 nonadherent case had 4. Adherent cases were significantly older (61.5 vs. 57.9 y, P=0.04), and tended to have more LSBE (33.3% vs. 20.8%, P=0.16). There were no differences between adherent and nonadherent cases in annual primary care encounters (72.7% vs. 66.2%, P=0.66), CCI>=4 (15.2% vs. 15.6%, P=0.95), biopsy-positive sEGDs (75.8% vs. 76.6%, P=0.92), and any recommendation for subsequent surveillance (81.8% vs. 77.9%, P=0.65). A logistic regression model using age, CCI, and LSBE showed an independent association between adherence and older age (P=0.03). Conclusions: In a single-center VA cohort, sEGD of NDBE was mostly nonadherent to guidelines. Adherent cases were older at baseline with a trend toward more LSBE. A larger study is needed to identify medical and social factors associated with adherence or nonadherence to surveillance.
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    Comparison of Risk Factor Control in the Year After Discharge for Ischemic Stroke Versus Acute Myocardial Infarction
    (American Heart Association, 2018-02) Bravata, Dawn M.; Daggy, Joanne; Brosch, Jared; Sico, Jason J.; Baye, Fitsum; Myers, Laura J.; Roumie, Christianne L.; Cheng, Eric; Coffing, Jessica; Arling, Greg; Medicine, School of Medicine
    BACKGROUND AND PURPOSE: The Veterans Health Administration has engaged in quality improvement to improve vascular risk factor control. We sought to examine blood pressure (<140/90 mm Hg), lipid (LDL [low-density lipoprotein] cholesterol <100 mg/dL), and glycemic control (hemoglobin A1c <9%), in the year post-hospitalization for acute ischemic stroke or acute myocardial infarction (AMI). METHODS: We identified patients who were hospitalized (fiscal year 2011) with ischemic stroke, AMI, congestive heart failure, transient ischemic attack, or pneumonia/chronic obstructive pulmonary disease. The primary analysis compared risk factor control after incident ischemic stroke versus AMI. Facilities were included if they cared for ≥25 ischemic stroke and ≥25 AMI patients. A generalized linear mixed model including patient- and facility-level covariates compared risk factor control across diagnoses. RESULTS: Forty thousand two hundred thirty patients were hospitalized (n=75 facilities): 2127 with incident ischemic stroke and 4169 with incident AMI. Fewer stroke patients achieved blood pressure control than AMI patients (64%; 95% confidence interval, 0.62-0.67 versus 77%; 95% confidence interval, 0.75-0.78; P<0.0001). After adjusting for patient and facility covariates, the odds of blood pressure control were still higher for AMI than ischemic stroke patients (odds ratio, 1.39; 95% confidence interval, 1.21-1.51). There were no statistical differences for AMI versus stroke patients in hyperlipidemia (P=0.534). Among patients with diabetes mellitus, the odds of glycemic control were lower for AMI than ischemic stroke patients (odds ratio, 0.72; 95% confidence interval, 0.54-0.96). CONCLUSIONS: Given that hypertension control is a cornerstone of stroke prevention, interventions to improve poststroke hypertension management are needed
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    Post-stroke hypertension control and receipt of health care services among veterans
    (Wiley, 2018-02) Kohok, Dhanashri D.; Sico, Jason J.; Baye, Fitsum; Myers, Laura; Coffing, Jessica; Kamalesh, Masoor; Bravata, Dawn M.; Medicine, School of Medicine
    Many ischemic stroke patients do not achieve goal blood pressure (BP < 140/90 mm Hg). To identify barriers to post-stroke hypertension management, we examined healthcare utilization and BP control in the year after index ischemic stroke admission. This retrospective cohort study included patients admitted for acute ischemic stroke to a VA hospital in fiscal year 2011 and who were discharged with a BP ≥ 140/90 mm Hg. One-year post-discharge, BP trajectories, utilization of primary care, specialty and ancillary services were studied. Among 265 patients, 246 (92.8%) were seen by primary care (PC) during the 1-year post-discharge; a median time to the first PC visit was 32 days (interquartile range: 53). Among N = 245 patients with post-discharge BP data, 103 (42.0%) achieved a mean BP < 140/90 mm Hg in the year post-discharge. Provider follow-ups were: neurology (51.7%), cardiology (14.0%), nephrology (7.2%), endocrinology (3.8%), and geriatrics (2.6%) and ancillary services (BP monitor [30.6%], pharmacy [20.0%], nutrition [8.3%], and telehealth [8%]). Non-adherence to medications was documented in 21.9% of patients and was observed more commonly among patients with uncontrolled compared with controlled BP (28.7% vs 15.5%; P = .02). The recurrent stroke rate did not differ among patients with uncontrolled (4.2%) compared with controlled BP (3.8%; P = .89). Few patients achieved goal BP in the year post-stroke. Visits to primary care were not timely. Underuse of specialty as well as ancillary services and provider perception of medication non-adherence were common. Future intervention studies seeking to improve post-stroke hypertension management should address these observed gaps in care.
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    Validating administratively derived frailty scores for use in Veterans Health Administration emergency departments
    (Wiley, 2023) Dev, Sharmistha; Gonzalez, Andrew A.; Coffing, Jessica; Slaven, James E.; Dev, Shantanu; Taylor, Stan; Ballard, Carrie; Hastings, S. Nicole; Bravata, Dawn M.; Emergency Medicine, School of Medicine
    Objectives: Frailty is a clinical syndrome characterized by decreased physiologic reserve that diminishes the ability to respond to stressors such as acute illness. Veterans Health Administration (VA) emergency departments (ED) are the primary venue of care for Veterans with acute illness and represent key sites for frailty recognition. As questionnaire-based frailty instruments can be cumbersome to implement in the ED, we examined two administratively derived frailty scores for use among VA ED patients. Methods: This national retrospective cohort study included all VA ED visits (2017-2020). We evaluated two administratively derived scores: the Care Assessment Needs (CAN) score and the VA Frailty Index (VA-FI). We categorized all ED visits across four frailty groups and examined associations with outcomes of 30-day and 90-day hospitalization and 30-day, 90-day, and 1-year mortality. We used logistic regression to assess the model performance of the CAN score and the VA-FI. Results: The cohort included 9,213,571 ED visits. With the CAN score, 28.7% of the cohort were classified as severely frail; by VA-FI, 13.2% were severely frail. All outcome rates increased with progressive frailty (p-values for all comparisons < 0.001). For example, for 1-year mortality based on the CAN score frailty was determined as: robust, 1.4%; prefrail, 3.4%; moderately frail, 7.0%; and severely frail, 20.2%. Similarly, for 90-day hospitalization based on VA-FI, frailty was determined as prefrail, 8.3%; mildly frail, 15.3%; moderately frail, 29.5%; and severely frail, 55.4%. The c-statistics for CAN score models were higher than for VA-FI models across all outcomes (e.g., 1-year mortality, 0.721 vs. 0.659). Conclusions: Frailty was common among VA ED patients. Increased frailty, whether measured by CAN score or VA-FI, was strongly associated with hospitalization and mortality and both can be used in the ED to identify Veterans at high risk for adverse outcomes. Having an effective automatic score in VA EDs to identify frail Veterans may allow for better targeting of scarce resources.
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    Validation of Stroke Meaningful Use Measures in a National Electronic Health Record System
    (Springer-Verlag, 2016-04) Phipps, Michael S.; Fahner, Jeff; Sager, Danielle; Coffing, Jessica; Maryfield, Bailey; Williams, Linda S.; Department of Neurology, School of Medicine
    BACKGROUND: The Meaningful Use (MU) program has increased the national emphasis on electronic measurement of hospital quality. OBJECTIVE: To evaluate stroke MU and one VHA stroke electronic clinical quality measure (eCQM) in national VHA data and determine sources of error in using centralized electronic health record (EHR) data. DESIGN: Our study is a retrospective cross-sectional study of stroke quality measure eCQMs vs. chart review in a national EHR. We developed local SQL algorithms to generate the eCQMs, then modified them to run on VHA Central Data Warehouse (CDW) data. eCQM results were generated from CDW data in 2130 ischemic stroke admissions in 11 VHA hospitals. Local and CDW results were compared to chart review. MAIN MEASURES: We calculated the raw proportion of matching cases, sensitivity/specificity, and positive/negative predictive values (PPV/NPV) for the numerators and denominators of each eCQM. To assess overall agreement for each eCQM, we calculated a weighted kappa and prevalence-adjusted bias-adjusted kappa statistic for a three-level outcome: ineligible, eligible-passed, or eligible-failed. KEY RESULTS: In five eCQMs, the proportion of matched cases between CDW and chart ranged from 95.4 %-99.7 % (denominators) and 87.7 %-97.9 % (numerators). PPVs tended to be higher (range 96.8 %-100 % in CDW) with NPVs less stable and lower. Prevalence-adjusted bias-adjusted kappas for overall agreement ranged from 0.73-0.95. Common errors included difficulty in identifying: (1) mechanical VTE prophylaxis devices, (2) hospice and other specific discharge disposition, and (3) contraindications to receiving care processes. CONCLUSIONS: Stroke MU indicators can be relatively accurately generated from existing EHR systems (nearly 90 % match to chart review), but accuracy decreases slightly in central compared to local data sources. To improve stroke MU measure accuracy, EHRs should include standardized data elements for devices, discharge disposition (including hospice and comfort care status), and recording contraindications.