21 research outputs found
Geographic variation in poststroke depression among veterans with acute stroke
This study compared patterns of poststroke depression (PSD) detection among veterans with acute stroke in eight U.S. geographic regions. Department of Veterans Affairs (VA)
medical and pharmacy data as well as Medicare data were used. International Classification of Diseases-9th Revision depression codes and antidepressant medication dispensing were applied to define patients’ PSD status 12 months poststroke. Logistic regression models were fit to compare VA PSD diagnosis and overall PSD detection between the regions. The use of VA medical data alone may underestimate the rate of
PSD. Geographic variation in PSD detection depended on the data used. If VA medical data alone were used, we found no significant variation. If VA medical data were used along with Medicare and VA pharmacy data, we observed a significant variation in overall PSD detection across the regions after adjusting for potential risk factors. VA clinicians and policy makers need to consider enrollees’ use of services outside the system when conducting program evaluation. Future research on PSD among veteran patients should use VA medical data in combination with Medicare and VA pharmacy data to obtain a comprehensive understanding of patients’ PSD
Postdischarge quality of care: Do age disparities exist among Department of Veterans Affairs ischemic stroke patients?
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
Rural-Urban Differences in Inpatient Quality of Care in US Veterans With Ischemic Stroke
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
Inpatient stroke care quality for Veterans: Are there differences between VA medical centers in the stroke belt and other areas?
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
Whole Health coaching to rural Veterans through telehealth: Advantages, gaps, and opportunities
BackgroundThe Veterans Health Administration (VHA) is one of the largest providers of telehealth in the United States and continues to lead the way in transforming healthcare services. VHA has been implementing its Whole Health (WH) initiative since 2018, a proactive practice empowering patients to take charge of their health and well-being. A key facilitator of the WH initiative is the WH coach who partners with Veterans to achieve their health-related goals. A gap exists in the literature regarding the understanding of WH coaches’ use of telehealth to engage rural-residing Veterans. COVID-19 unexpectedly interrupted in-person VHA delivery of care, including WH coaching which primarily relied on in-person delivery and focused less on telehealth. During the pandemic, WH coaches had to adapt and integrate different modalities to engage their Veteran patients. We examined WH coaches’ approaches to extending coaching to rural Veterans via technology, emphasizing the advantages of telehealth, existing gaps in telehealth delivery, and opportunities for telehealth as a coaching modality.MethodsThis project was implemented as part of a larger mixed methods evaluation regarding WH coaching for rural Veterans; this manuscript presents the findings from the qualitative data from the larger study. The qualitative dataset is comprised of data collected using three different qualitative methods: four focus groups (n = 11; 3–4 participants per group), in-depth individual interviews (n = 9), and open-ended responses from a national web-based survey (n = 140). Focus group, in-depth interview, and open-ended survey data were collected sequentially and separately analyzed following each wave of data collection. Findings from the three analyses were then collaboratively merged, compared, reorganized, and refined by the evaluation team to create final themes.ResultsThree final themes that emerged from the merged data were: (1) Advantages of Telehealth; (2) Telehealth Gaps for Rural Veterans, and (3) Strategies for Bridging Telehealth Gaps. Themes explicate telehealth advantages, gaps, and opportunities for rural Veteran WH coaching.ConclusionFindings highlight that video telehealth alone is not sufficient for meeting the needs of rural Veterans. Digital technologies hold promise for equalizing health access gaps; however, both human factors and broadband infrastructure constraints continue to require WH coaches to use a mix of modalities in working with rural Veterans. To overcome challenges and bridge gaps, WH coaches should be ready to adopt a blended approach that integrates virtual, in-person, and lower-tech options
Postdischarge quality of care: Do age disparities exist among Department of Veterans Affairs ischemic stroke patients?
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