IU Indianapolis ScholarWorks :: Browsing by Author "Phipps, Michael S."

Browsing by Author "Phipps, Michael S."

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Barriers and facilitators to provide quality TIA care in the Veterans Healthcare Administration
(American Academy of Neurology, 2017-12-12) Damush, Teresa M.; Miech, Edward J.; Sico, Jason J.; Phipps, Michael S.; Arling, Greg; Ferguson, Jared; Austin, Charles; Myers, Laura; Baye, Fitsum; Luckhurst, Cherie; Keating, Ava B.; Moran, Eileen; Bravata, Dawn M.; Medicine, School of Medicine
Objective: To identify key barriers and facilitators to the delivery of guideline-based care of patients with TIA in the national Veterans Health Administration (VHA). Methods: We conducted a cross-sectional, observational study of 70 audiotaped interviews of multidisciplinary clinical staff involved in TIA care at 14 VHA hospitals. We de-identified and analyzed all transcribed interviews. We identified emergent themes and patterns of barriers to providing TIA care and of facilitators applied to overcome these barriers. Results: Identified barriers to providing timely acute and follow-up TIA care included difficulties accessing brain imaging, a constantly rotating pool of housestaff, lack of care coordination, resource constraints, and inadequate staff education. Key informants revealed that both stroke nurse coordinators and system-level factors facilitated the provision of TIA care. Few facilities had specific TIA protocols. However, stroke nurse coordinators often expanded upon their role to include TIA. They facilitated TIA care by (1) coordinating patient care across services, communicating across service lines, and educating clinical staff about facility policies and evidence-based practices; (2) tracking individual patients from emergency departments to inpatient settings and to discharge for timely follow-up care; (3) providing and referring TIA patients to risk factor management programs; and (4) performing regular audit and feedback of quality performance data. System-level facilitators included clinical service leadership engagement and use of electronic tools for continuous care across services. Conclusions: The local organization within a health care facility may be targeted to cultivate internal facilitators and a systemic infrastructure to provide evidence-based TIA care.
Care Trajectories of Veterans in the Twelve Months following Hospitalization for Acute Ischemic Stroke
(AHA, 2015-10) Arling, Greg; Ofner, Susan; Reeves, Mathew J.; Myers, Laura J.; Williams, Linda S.; Daggy, Joanne K.; Phipps, Michael S.; Chumbler, Neale R.; Bravata, Dawn M.; Department of Neurology, IU School of Medicine
Background—Recovery after a stroke varies greatly between individuals and is reflected by wide variation in the use of institutional and home care services. This study sought to classify veterans according to their care trajectories in the 12 months after hospitalization for ischemic stroke. Methods and Results—The sample consisted of 3811 veterans hospitalized for ischemic stroke in Veterans Health Administration facilities in 2007. Three outcomes—nursing home care, home care, and mortality—were modeled jointly >12 months using latent class growth analysis. Data on Veterans’ care use and cost came from the Veterans Administration and Medicare. Covariates included stroke severity (National Institutes of Health Stroke Scale), functional status (functional independence measure score), age, marital status, chronic conditions, and prestroke ambulation. Five care trajectories were identified: 49% of Veterans had Rapid Recovery with little or no use of care; 15% had a Steady Recovery with initially high nursing home or home care that tapered off; 9% had Long-Term Home Care; 13% had Long-Term Nursing Home Care; and 14% had an Unstable trajectory with multiple transitions between long-term and acute care settings. Care use was greatest for individuals with more severe strokes, lower functioning at hospital discharge, and older age. Average annual costs were highest for individuals with the Long-Term Nursing Home trajectory ($63 082), closely followed by individuals with the Unstable trajectory ($58 720). Individual with the Rapid Recovery trajectory had the lowest costs ($9271). Conclusions—Care trajectories after stroke were associated with stroke severity and functional dependency and they had a dramatic impact on subsequent costs.
Does Inclusion of Stroke Severity in a 30-day Mortality Model Change Standardized Mortality Rates at VA Hospitals?
(2012-07) Keyhani, Salomeh; Cheng, Eric M.; Arling, Greg; Li, Xinli; Myers, Laura J.; Ofner, Susan; Williams, Linda S.; Phipps, Michael S.; Ordin, Diana L.; Bravata, Dawn M.
Background—The Centers for Medicare and Medicaid Services is considering developing a 30-day ischemic stroke hospital-level mortality model using administrative data. We examined whether inclusion of the National Institutes of Health Stroke Scale (NIHSS), a measure of stroke severity not included in administrative data, would alter 30-day mortality rates in the Veterans Health Administration. Methods and Results—A total of 2562 veterans admitted with ischemic stroke to 64 Veterans Health Administration Hospitals in the fiscal year 2007 were included. First, we examined the distribution of unadjusted mortality rates across the Veterans Health Administration. Second, we estimated 30-day all-cause, risk standardized mortality rates (RSMRs) for each hospital by adjusting for age, sex, and comorbid conditions using hierarchical models with and without the inclusion of the NIHSS. Finally, we examined whether adjustment for the NIHSS significantly changed RSMRs for each hospital compared with other hospitals. The median unadjusted mortality rate was 3.6%. The RSMR interquartile range without the NIHSS ranged from 5.1% to 5.6%. Adjustment with the NIHSS did not change the RSMR interquartile range (5.1%–5.6%). Among veterans ≥65 years, the RSMR interquartile range without the NIHSS ranged from 9.2% to 10.3%. With adjustment for the NIHSS, the RSMR interquartile range changed from 9.4% to 10.0%. The plot of 30-day RSMRs estimated with and without the inclusion of the NIHSS in the model demonstrated overlapping 95% confidence intervals across all hospitals, with no hospital significantly below or above the mean-unadjusted 30-day mortality rate. The 30-day mortality measure did not discriminate well among hospitals. Conclusions—The impact of the NIHSS on RSMRs was limited. The small number of stroke admissions and the narrow range of 30-day stroke mortality rates at the facility level in the Veterans Health Administration cast doubt on the value of using 30-day RSMRs as a means of identifying outlier hospitals based on their stroke care quality.
Estimating and Reporting on the Quality of Inpatient Stroke Care by Veterans Health Administration Medical Centers
(2012-01) Arling, Greg; Reeves, Mathew; Ross, Joseph S.; Williams, Linda S.; Keyhani, Salomeh; Chumbler, Neale R.; Phipps, Michael S.; Roumie, Christianne L; Myers, Laura J.; Salanitro, Amanda H; Ordin, Diana L.; Myers, Jennifer; Bravata, Dawn M.
Background—Reporting of quality indicators (QIs) in Veterans Health Administration Medical Centers is complicated by estimation error caused by small numbers of eligible patients per facility. We applied multilevel modeling and empirical Bayes (EB) estimation in addressing this issue in performance reporting of stroke care quality in the Medical Centers. Methods and Results—We studied a retrospective cohort of 3812 veterans admitted to 106 Medical Centers with ischemic stroke during fiscal year 2007. The median number of study patients per facility was 34 (range, 12–105). Inpatient stroke care quality was measured with 13 evidence-based QIs. Eligible patients could either pass or fail each indicator. Multilevel modeling of a patient's pass/fail on individual QIs was used to produce facility-level EB-estimated QI pass rates and confidence intervals. The EB estimation reduced interfacility variation in QI rates. Small facilities and those with exceptionally high or low rates were most affected. We recommended 8 of the 13 QIs for performance reporting: dysphagia screening, National Institutes of Health Stroke Scale documentation, early ambulation, fall risk assessment, pressure ulcer risk assessment, Functional Independence Measure documentation, lipid management, and deep vein thrombosis prophylaxis. These QIs displayed sufficient variation across facilities, had room for improvement, and identified sites with performance that was significantly above or below the population average. The remaining 5 QIs were not recommended because of too few eligible patients or high pass rates with little variation. Conclusions—Considerations of statistical uncertainty should inform the choice of QIs and their application to performance reporting.
Hospital Factors, Performance on Process Measures After Transient Ischemic Attack, and 90-Day Ischemic Stroke Incidence
(American Heart Association, 2021) Levine, Deborah A.; Perkins, Anthony J.; Sico, Jason J.; Myers, Laura J.; Phipps, Michael S.; Zhang, Ying; Bravata, Dawn M.; Biostatistics, School of Public Health
Background and purpose: We determined the association between hospital factors, performance on transient ischemic attack (TIA) process measures, and 90-day ischemic stroke incidence. Methods: Longitudinal analysis of retrospectively obtained data on 9168 veterans ≥18 years with TIA presenting to the emergency department or inpatient unit at 69 Veterans Affairs hospitals with ≥10 eligible patients per year in fiscal years 2015 to 2018. Process measures were high/moderate potency statin within 7 days of discharge, antithrombotic by day 2, and hypertension control (<140/90 mm Hg) at 90 days. The outcome was 90-day stroke incidence. Results: During the 4-year study period, hospitals significantly increased statin use (adjusted odds ratio [aOR] per 1-year increase, 1.24 [95% CI, 1.17–1.32]; P<0.001), whereas neither hypertension control (P=0.44) nor antithrombotic use (P=0.82) improved over time. Hospitals that admitted a higher proportion of TIA patients versus emergency department discharge had significantly greater use of statins (aOR per 10-percentage point increase in the proportion of TIA patients admitted, 1.09 [1.03–1.16]; P=0.003) and antithrombotics (aOR per 10-percentage point increase in TIA patients admitted, 1.14 [1.06–1.23]; P<0.001). Hospitals with higher emergency physician staffing and lower TIA patient volume had greater use of antithrombotics (aOR per 1 full-time physician increase, 1.05 [1.01–1.08]; P=0.008 and aOR per 10-patient decrease in volume, 1.09 [1.01–1.16]; P=0.02). Higher emergency physician staffing was associated with lower 90-day stroke incidence (aOR per 1 full-time physician increase, 0.96 [0.92–0.99]; P=0.02) but other hospital factors were not. Conclusions: Hospitals admitting higher percentages of TIA patients and having higher emergency physician staffing have greater performance on select guideline-concordant process measures for TIA. Higher emergency physician staffing was associated with improved outcomes 90 days after TIA.
Inpatient stroke care quality for Veterans: Are there differences between VA medical centers in the stroke belt and other areas?
(Wiley, 2015-01) Jia, Huanguang; Phipps, Michael S.; Bravata, Dawn M.; Castro, Jaime; Li, Xinli; Ordin, Diana L.; Myers, Jennifer; Vogel, W. Bruce; Williams, Linda S.; Chumbler, Neale R.; Department of Medicine, IU School of Medicine
Background Stroke mortality has been found to be much higher among residents in the stroke belt region than in the rest of United States, but it is not known whether differences exist in the quality of stroke care provided in Department of Veterans Affairs medical centers in states inside and outside this region. Objective We compared mortality and inpatient stroke care quality between Veterans Affairs medical centers inside and outside the stroke belt region. Methods Study patients were veterans hospitalized for ischemic stroke at 129 Veterans Affairs medical centers. Inpatient stroke care quality was assessed by 14 quality indicators. Multivariable logistic regression models were fit to examine differences in quality between facilities inside and outside the stroke belt, adjusting for patient characteristics and Veterans Affairs medical centers clustering effect. Results Among the 3909 patients, 28·1% received inpatient ischemic stroke care in 28 stroke belt Veterans Affairs medical centers, and 71·9% obtained care in 101 non-stroke belt Veterans Affairs medical centers. Patients cared for in stroke belt Veterans Affairs medical centers were more likely to be younger, Black, married, have a higher stroke severity, and less likely to be ambulatory pre-stroke. We found no statistically significant differences in short- and long-term post-admission mortality and inpatient care quality indicators between the patients cared for in stroke belt and non-stroke belt Veterans Affairs medical centers after risk adjustment. Conclusions These data suggest that a stroke belt does not exist within the Veterans Affairs health care system in terms of either post-admission mortality or inpatient care quality.
A multidisciplinary stroke clinic for outpatient care of veterans with cerebrovascular disease
(2011-04) Schmid, Arlene A.; Kapoor, John R; Miech, Edward J.; Kuehn, Deborah; Dallas, Mary I; Kerns, Robert D; Lo, Albert C.; Concato, John; Phipps, Michael S.; Couch, Cody D; Moran, Eileen; Williams, Linda S.; Goble, Layne A; Bravata, Dawn M.
Background: Managing cerebrovascular risk factors is complex and difficult. The objective of this program evaluation was to assess the effectiveness of an outpatient Multidisciplinary Stroke Clinic model for the clinical management of veterans with cerebrovascular disease or cerebrovascular risk factors. Methods: The Multidisciplinary Stroke Clinic provided care to veterans with cerebrovascular disease during a one-half day clinic visit with interdisciplinary evaluations and feedback from nursing, health psychology, rehabilitation medicine, internal medicine, and neurology. We conducted a program evaluation of the clinic by assessing clinical care outcomes, patient satisfaction, provider satisfaction, and costs. Results: We evaluated the care and outcomes of the first consecutive 162 patients who were cared for in the clinic. Patients had as many as six clinic visits. Systolic and diastolic blood pressure decreased: 137.2 ± 22.0 mm Hg versus 128.6 ± 19.8 mm Hg, P = 0.007 and 77.9 ± 14.8 mm Hg versus 72.0 ± 10.2 mm Hg, P = 0.004, respectively as did low-density lipoprotein (LDL)-cholesterol (101.9 ± 23.1 mg/dL versus 80.6 ± 25.0 mg/dL, P = 0.001). All patients had at least one major change recommended in their care management. Both patients and providers reported high satisfaction levels with the clinic. Veterans with stroke who were cared for in the clinic had similar or lower costs than veterans with stroke who were cared for elsewhere. Conclusion: A Multidisciplinary Stroke Clinic model provides incremental improvement in quality of care for complex patients with cerebrovascular disease at costs that are comparable to usual post-stroke care.
Postdischarge quality of care: Do age disparities exist among Department of Veterans Affairs ischemic stroke patients?
(2013) Chumbler, Neale R.; Jia, Huanguang; Phipps, Michael S.; Li, Xinli; Ordin, Diana L.; Williams, Linda S.; Myers, Laura J.
This study examined whether age disparities existed across postdischarge quality indicators (QIs) for veterans with ischemic stroke who received care at Department of Veterans Affairs medical centers (VAMCs). This retrospective cohort included a national sample of 3,196 veterans who were diagnosed with ischemic stroke and received acute and postdischarge stroke care at 127 VAMCs in fiscal year 2007 (10/1/06 through 9/30/07). Data included an assessment of postdischarge stroke QIs in the outpatient setting during the 6 mo postdischarge. The QIs included measurement of and goal achievement for (1) blood pressure, (2) serum international normalized ratio (INR) for all patients discharged on warfarin, (3) cholesterol (low-density lipoprotein [LDL]) levels, (4) serum glycosylated hemoglobin, and (5) depression treatment. The mean age for the 3,196 veterans included in this study was 67.2 +/– 11.3 yr. Before risk adjustment, there were age differences in (1) depression screening/treatment, (2) blood pressure goals, and (3) LDL levels. After we adjusted for patient sociodemographic, clinical, and facility-level characteristics by using hierarchical linear mixed modeling, none of these differences remained significant but INR goals for patients discharged on warfarin differed significantly by age. After we adjusted for patient and facility characteristics, fewer age differences were found in the postdischarge stroke QIs. Clinical trial registration was not required.
Quality of Care for Veterans With Transient Ischemic Attack and Minor Stroke
(American Medical Association, 2018-04-01) Bravata, Dawn M.; Myers, Laura J.; Arling, Greg; Miech, Edward J.; Damush, Teresa; Sico, Jason J.; Phipps, Michael S.; Zillich, Alan J.; Yu, Zhangsheng; Reeves, Mathew; Williams, Linda S.; Johanning, Jason; Chaturvedi, Seemant; Baye, Fitsum; Ofner, Susan; Austin, Curt; Ferguson, Jared; Graham, Glenn D.; Rhude, Rachel; Kessler, Chad S.; Higgins, Donald S.; Cheng, Eric; Medicine, School of Medicine
Importance: The timely delivery of guideline-concordant care may reduce the risk of recurrent vascular events for patients with transient ischemic attack (TIA) and minor stroke. Although many health care organizations measure stroke care quality, few evaluate performance for patients with TIA or minor stroke, and most include only a limited subset of guideline-recommended processes. Objective: To assess the quality of guideline-recommended TIA and minor stroke care across the Veterans Health Administration (VHA) system nationwide. Design, Setting, and Participants: This cohort study included 8201 patients with TIA or minor stroke cared for in any VHA emergency department (ED) or inpatient setting during federal fiscal year 2014 (October 1, 2013, through September 31, 2014). Patients with length of stay longer than 6 days, ventilator use, feeding tube use, coma, intensive care unit stay, inpatient rehabilitation stay before discharge, or receipt of thrombolysis were excluded. Outlier facilities for each process of care were identified by constructing 95% CIs around the facility pass rate and national pass rate sites when the 95% CIs did not overlap. Data analysis occurred from January 16, 2016, through June 30, 2017. Main Outcomes and Measures: Ten elements of care were assessed using validated electronic quality measures. Results: In the 8201 patients included in the study (mean [SD] age, 68.8 [11.4] years; 7877 [96.0%] male; 4856 [59.2%] white), performance varied across elements of care: brain imaging by day 2 (6720/7563 [88.9%]; 95% CI, 88.2%-89.6%), antithrombotic use by day 2 (6265/7477 [83.8%]; 95% CI, 83.0%-84.6%), hemoglobin A1c measurement by discharge or within the preceding 120 days (2859/3464 [82.5%]; 95% CI, 81.2%-83.8%), anticoagulation for atrial fibrillation by day 7 after discharge (1003/1222 [82.1%]; 95% CI, 80.0%-84.2%), deep vein thrombosis prophylaxis by day 2 (3253/4346 [74.9%]; 95% CI, 73.6%-76.2%), hypertension control by day 90 after discharge (4292/5979 [71.8%]; 95% CI, 70.7%-72.9%), neurology consultation by day 1 (5521/7823 [70.6%]; 95% CI, 69.6%-71.6%), electrocardiography by day 2 or within 1 day prior (5073/7570 [67.0%]; 95% CI, 65.9%-68.1%), carotid artery imaging by day 2 or within 6 months prior (4923/7685 [64.1%]; 95% CI, 63.0%-65.2%), and moderate- to high-potency statin prescription by day 7 after discharge (3329/7054 [47.2%]; 95% CI, 46.0%-48.4%). Performance varied substantially across facilities (eg, neurology consultation had a facility outlier rate of 53.0%). Performance was higher for admitted patients than for patients cared for only in EDs with the greatest disparity for carotid artery imaging (4478/5927 [75.6%] vs 445/1758 [25.3%]; P < .001). Conclusions and Relevance: This national study of VHA system quality of care for patients with TIA or minor stroke identified opportunities to improve care quality, particularly for patients who were discharged from the ED. Health care systems should engage in ongoing TIA care performance assessment to complement existing stroke performance measurement.
Rural-Urban Differences in Inpatient Quality of Care in US Veterans With Ischemic Stroke
(2014-06) Phipps, Michael S.; Jia, Huanguang; Chumbler, Neale R.; Li, Xinli; Castro, Jaime G; Myers, Jennifer; Williams, Linda S.; Bravata, Dawn M.
Purpose Differences in stroke care quality for patients in rural and urban locations have been suggested, but whether differences exist across Veteran Administration Medical Centers (VAMCs) is unknown. This study examines whether rural-urban disparities exist in inpatient quality among veterans with acute ischemic stroke. Methods In this retrospective study, inpatient stroke care quality was assessed in a national sample of veterans with acute ischemic stroke using 14 quality indicators (QIs). Rural-Urban Commuting Areas codes defined each VAMC's rural-urban status. A hierarchical linear model assessed the rural-urban differences across the 14 QIs, adjusting for patient and facility characteristics, and clustering within VAMCs. Findings Among 128 VAMCs, 18 (14.1%) were classified as rural VAMCs and admitted 284 (7.3%) of the 3,889 ischemic stroke patients. Rural VAMCs had statistically significantly lower unadjusted rates on 6 QIs: Deep vein thrombosis (DVT) prophylaxis, antithrombotic at discharge, antithrombotic at day 2, lipid management, smoking cessation counseling, and National Institutes of Health Stroke Scale completion, but they had higher rates of stroke education, functional assessment, and fall risk assessment. After adjustment, differences in 2 QIs remained significant—patients treated in rural VAMCs were less likely to receive DVT prophylaxis, but more likely to have documented functional assessment. Conclusions After adjustment for key demographic, clinical, and facility-level characteristics, there does not appear to be a systematic difference in inpatient stroke quality between rural and urban VAMCs. Future research should seek to understand the few differences in care found that could serve as targets for future quality improvement interventions.

Browsing by Author "Phipps, Michael S."

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