Browsing by Author "Miller, Katherine EM"
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Item Open Access Comprehensive Family Caregiver Support and Caregiver Well-Being: Preliminary Evidence From a Pre-post-survey Study With a Non-equivalent Control Group.(Frontiers in public health, 2019-01) Smith, Valerie A; Lindquist, Jennifer; Miller, Katherine EM; Shepherd-Banigan, Megan; Olsen, Maren; Campbell-Kotler, Margaret; Henius, Jennifer; Kabat, Margaret; Van Houtven, Courtney HaroldIntroduction: In May 2010, the Caregivers and Veterans Omnibus Health Services Act of 2010, was signed into law in the United States, establishing the Program of Comprehensive Assistance for Family Caregivers (PCAFC) provided through the VA Caregiver Support Program (CSP). Prior to this program, over half of family caregivers reported being untrained for the tasks they needed to provide. The training through PCAFC represents the largest effort to train family caregivers in the U.S., and the features of the program, specifically a monthly stipend to caregivers and access to a Caregiver Support Coordinator at each VA medical center nationally, make it the most comprehensive caregiver support program ever enacted in the U.S. Methods: The purpose of this study is to examine the association between PCAFC participation and caregiver well-being following enrollment, comparing participating PCAFC caregivers to caregivers who applied to but were not approved for PCAFC participation (non-participants). Well-being is defined using three diverse but related outcomes: depressive symptoms, perceived financial strain, and perceived quality of the Veteran's health care. Additional well-being measures also examined include the Zarit Burden Inventory and positive aspects of caregiving. Results: The survey sample comprised of 92 caregivers approved for PCAFC and 66 caregivers not approved. The mean age of responding caregivers was 45; over 90% of caregivers were female; and over 80% of caregivers were married in both groups. We find promising trends in well-being associated with PCAFC participation. First, the perception of financial strain declined among participants compared to non-participants. Second, while depressive symptoms did not improve for the PCAFC caregivers, depressive symptoms increased among non-participants. Third, perceived quality of the Veteran's VA healthcare was no different between participants and non-participants. However, the 158 returned surveys reflect only a 5% response rate; hence this evidence is preliminary. Conclusion: Despite cautioning that results be interpreted as preliminary, this study provides unique descriptive information about young caregivers of U.S. post-9/11 Veterans, and offers a first step in filling the evidence gap about how comprehensive caregiver support in the U.S. may affect caregiver well-being. These preliminary findings should be explored and validated in a larger sample.Item Open Access Comprehensive Support for Family Caregivers of Post-9/11 Veterans Increases Veteran Utilization of Long-term Services and Supports: A Propensity Score Analysis.(Inquiry : a journal of medical care organization, provision and financing, 2018-01) Shepherd-Banigan, Megan; Smith, Valerie A; Stechuchak, Karen M; Miller, Katherine EM; Hastings, Susan Nicole; Wieland, Gilbert Darryl; Olsen, Maren K; Kabat, Margaret; Henius, Jennifer; Campbell-Kotler, Margaret; Van Houtven, Courtney HaroldFamily caregivers are an important component of the long-term services and supports (LTSS) system. However, caregiving may have negative consequences for caregiver physical and emotional health. Connecting caregivers to formal short-term home- and community-based services (HCBS), through information resources and referrals, might alleviate family caregiver burden and delay nursing home entry for the patient. The aim of this study was to evaluate the early impact of the Program of Comprehensive Assistance for Family Caregivers (PCAFC) (established by P.L. 111-163 for family caregivers of seriously injured post-9/11 Veterans) on Veteran use of LTSS. A two-cohort pre-post design with a nonequivalent comparison group (treated n = 15 650; comparison n = 8339) was used to (1) examine the association between caregiver enrollment in PCAFC and any VA-purchased or VA-provided LTSS use among Veterans and (2) describe program-related trends in HCBS and institutional LTSS use. The comparison group was an inverse-propensity-score weighted sample of Veterans whose caregivers applied for, but were not accepted into, the program. From baseline through 24 months post application, use of any LTSS ranged from 13.1% to 17.8% for Veterans whose caregivers were enrolled in PCAFC versus from 3.8% to 5.3% for Veterans in the comparison group. Participation in PCAFC was associated with a statistically significant increased use of any LTSS from 1 to 24 months post application (over time odds ratios ranged from 2.71 [95% confidence interval: 2.31-3.17] to 4.86 [3.93-6.02]). Support for family caregivers may enhance utilization of LTSS for Veterans with physical, emotional, and/or cognitive conditions.Item Open Access Identifying treatment effects of an informal caregiver education intervention to increase days in the community and decrease caregiver distress: a machine-learning secondary analysis of subgroup effects in the HI-FIVES randomized clinical trial.(Trials, 2020-02) Shepherd-Banigan, Megan; Smith, Valerie A; Lindquist, Jennifer H; Cary, Michael Paul; Miller, Katherine EM; Chapman, Jennifer G; Van Houtven, Courtney HBackground
Informal caregivers report substantial burden and depressive symptoms which predict higher rates of patient institutionalization. While caregiver education interventions may reduce caregiver distress and decrease the use of long-term institutional care, evidence is mixed. Inconsistent findings across studies may be the result of reporting average treatment effects which do not account for how effects differ by participant characteristics. We apply a machine-learning approach to randomized clinical trial (RCT) data of the Helping Invested Family Members Improve Veteran's Experiences Study (HI-FIVES) intervention to explore how intervention effects vary by caregiver and patient characteristics.Methods
We used model-based recursive partitioning models. Caregivers of community-residing older adult US veterans with functional or cognitive impairment at a single VA Medical Center site were randomized to receive HI-FIVES (n = 118) vs. usual care (n = 123). The outcomes included cumulative days not in the community and caregiver depressive symptoms assessed at 12 months post intervention. Potential moderating characteristics were: veteran age, caregiver age, caregiver ethnicity and race, relationship satisfaction, caregiver burden, perceived financial strain, caregiver depressive symptoms, and patient risk score.Results
The effect of HI-FIVES on days not at home was moderated by caregiver burden (p < 0.001); treatment effects were higher for caregivers with a Zarit Burden Scale score ≤ 28. Caregivers with lower baseline Center for Epidemiologic Studies Depression Scale (CESD-10) scores (≤ 8) had slightly lower CESD-10 scores at follow-up (p < 0.001).Conclusions
Family caregiver education interventions may be less beneficial for highly burdened and distressed caregivers; these caregivers may require a more tailored approach that involves assessing caregiver needs and developing personalized approaches.Trial registration
ClinicalTrials.gov, ID:NCT01777490. Registered on 28 January 2013.Item Open Access Invisible partners in care: Snapshot of well-being among caregivers receiving comprehensive support from Veterans Affairs.(Health science reports, 2019-03) Miller, Katherine EM; Lindquist, Jennifer H; Olsen, Maren K; Smith, Valerie; Voils, Corrine I; Oddone, Eugene Z; Sperber, Nina R; Shepherd-Banigan, Megan; Wieland, G Darryl; Henius, Jennifer; Kabat, Margaret; Van Houtven, Courtney HaroldBackground and aims
Since May 2011, over 23 000 caregivers of Veterans seriously injured on or after September 11, 2001 have enrolled in the Program of Comprehensive Assistance for Family Caregivers (PCAFC). PCAFC provides caregivers training, a stipend, and access to health care. The aim of this study is to describe the characteristics of caregivers in PCAFC and examine associations between caregiver characteristics and caregiver well-being outcomes.Methods
We sent a web survey invitation to 10 000 PCAFC caregivers enrolled as of September 2015. Using linear and logistic regressions, we examine associations between PCAFC caregiver characteristics and caregiver outcomes: perceived financial strain, depressive symptoms (Center for Epidemiologic Studies Depression Scale [CESD-10]), perceived quality of Veteran's Veterans Health Administration (VHA) care, and self-reported caregiver health.Results
We had complete survey data for 899 respondents. Since becoming a caregiver, approximately 50% of respondents reported reducing or stopping work. Mean time spent providing care was 3.8 years (median 3, IQR 1-5) with an average of 4.9 weekdays (median 5, IQR 5-5) and 1.9 weekend days (median 2, IQR 2-2). The mean CESD-10 score was 8.2 (median 7, 4-12), at the cutoff for screening positive for depressive symptoms. A longer duration of caregiving was associated with having 0.08 increase in rating of financial strain (95% CI, 0.02-0.14). Caregiver rating of the Veteran's health status as "fair" or better was a strong predictor of better caregiver outcomes, ie, self-reported caregiver health. However, higher levels of education were associated with worse caregiver outcomes, ie, lower global satisfaction with VHA care, higher CESD-10 score, and higher rating of financial strain.Conclusions
Higher depressive symptoms among longer duration caregivers, coupled with high rates of reductions in hours worked, suggest interventions are needed to address the long-term emotional and financial needs of these caregivers of post-9/11 Veterans and identify subpopulations at risk for worse outcomes.Item Open Access The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes.(Journal of the American Medical Directors Association, 2021-05) Miller, Katherine EM; Gorges, Rebecca J; Konetzka, R Tamara; Van Houtven, Courtney HObjectives
In the United States, nursing facility residents comprise fewer than 1% of the population but more than 40% of deaths due to Coronavirus Disease 2019 (COVID-19). Mitigating the enormous risk of COVID-19 to nursing home residents requires adequate data. The widely used Centers for Medicare & Medicaid Services (CMS) COVID-19 Nursing Home Dataset contains 2 derived statistics: Total Resident Confirmed COVID-19 Cases per 1000 Residents and Total Resident COVID-19 Deaths per 1000 Residents. These metrics provide a misleading picture, as facilities report cumulative counts of cases and deaths over different time periods but use a point-in-time measure as proxy for number of residents (number of occupied beds in a week), resulting in inflated statistics. We propose an alternative statistic to better illustrate the burden of COVID-19 cases and deaths across nursing facilities.Design
Retrospective cohort study.Setting and participants
Using the CMS Nursing Home Compare and COVID-19 Nursing Home Datasets, we examined facilities with star ratings and COVID-19 data passing quality assurance checks for each reporting period from May 31 to August 16, 2020 (n = 11,115).Methods
We derived an alternative measure of the number of COVID-19 cases per 1000 residents using the net change in weekly census. For each measure, we compared predicted number of cases/deaths by overall star rating using negative binomial regression with constant dispersion, controlling for county-level cases per capita and nursing home characteristics.Results
The average number of cases per 1000 estimated residents using our method is lower compared with the metric using occupied beds as proxy for number of residents (44.8 compared with 66.6). We find similar results when examining number of COVID-19 deaths per 1000 residents.Conclusions and implications
Future research should estimate the number of residents served in nursing facilities when comparing COVID-19 cases/deaths in nursing facilities. Identifying appropriate metrics for facility-level comparisons is critical to protecting nursing home residents as the pandemic continues.Item Open Access Use of high cost care among Veterans with comorbid mental illness and Alzheimer's Disease and related dementias.(PloS one, 2023-01) Shepherd-Banigan, Megan; Miller, Katherine EM; Hastings, S Nicole; Schleiden, Loren J; Thorpe, Joshua MIntroduction/objective
Alzheimer's Disease and Other Related Dementias (AD/ADRD) leads to frequent emergency department (ED) and inpatient use. Mental health symptoms among persons with AD/ADRD increases cognitive and functional disabilities and could contribute to these high rates of intensive health care use. The objective of this paper is to assess the relationship of mental illness on 12-month patterns in hospitalization and ED use among Veterans aged 65 and over with a new AD/ADRD diagnosis.Methods
We used an existing dataset of administrative electronic health record data of Veterans with AD/ADRD from the US Veterans Health Administration linked with Medicare claims data from 2011-2015. We use multivariable logistic regression to examine the association between no pre-existing mental illness, pre-existing mental illness (e.g., major depressive disorder, generalized anxiety disorder, or post-traumatic stress disorder), and pre-existing severe mental illness-or SMI-(e.g., bipolar disorder, major depressive disorder with psychosis, or schizophrenia) and 12- month ED and hospitalization use and readmissions among Veterans who had an initial hospitalization visit. We estimated predicted probabilities, differential effect, and associated 95% confidence intervals.Results
In our sample, 1.4% had SMI and 11% had non-SMI mental illness. The unadjusted percentage with inpatient and ED use was higher among Veterans with SMI (34% and 26%, respectively) and Veterans with non-SMI mental illness (20%, 16%) compared with Veterans without pre-existing mental illness (12%, 9%). Compared to individuals with no pre-existing mental illness, having a pre-existing mental illness (1.27 percentage points, 95% CI: 0.76, 1.78) and a pre-existing SMI (7.17 percentage points, 95% CI: 5.66, 8.69) were both associated with an increased likelihood of ED use. The same pattern was observed for any inpatient use (mental illness 2.18, 95% CI: 1.59, 2.77; SMI 9.91, 95% CI: 8.21, 11.61). Only pre-existing SMI was associated higher hospitalization readmission.Discussion
Pre-existing mental illness increases use of high cost, intensive health care and this association is higher of more severe mental health conditions. We also show that pre-existing mental illness exerts a unique influence, above and beyond other comorbidities, such as diabetes, on ED and inpatient visits. More needs to be done to increase recognition of the unique risks of this combination of health conditions and encourage strategies to address them. Developing, testing, and implementing comprehensive strategies that address the intersection of ADRD and mental illness is promising approach that requires more focused attention.