Browsing by Author "Hastings, S Nicole"
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Item Open Access Association of Burden and Prevalence of Arthritis With Disparities in Social Risk Factors, Findings From 17 US States.(Preventing chronic disease, 2022-02) Rethorn, Zachary D; Rethorn, Timothy J; Cook, Chad E; Sharpe, Jason A; Hastings, S Nicole; Allen, Kelli DIntroduction
Social risks previously have been associated with arthritis prevalence and costs. Although social risks often cluster among individuals, no studies have examined associations between multiple social risks within the same individual. Our objective was to determine the association between individual and multiple social risks and the prevalence and burden of arthritis by using a representative sample of adults in 17 US states.Methods
Data are from the 2017 Behavioral Risk Factor Surveillance System. Respondents were 136,432 adults. Social risk factors were food insecurity, housing insecurity, financial insecurity, unsafe neighborhoods, and health care access hardship. Weighted χ2 and logistic regression analyses, controlling for demographic characteristics, measures of socioeconomic position, and other health conditions examined differences in arthritis prevalence and burden by social risk factor and by a social risk index created by summing the social risk factors.Results
We observed a gradient in the prevalence and burden of arthritis. Compared with those reporting 0 social risk factors, respondents reporting 4 or more social risk factors were more likely to have arthritis (adjusted odds ratio [AOR], 1.92; 95% CI, 1.57-2.36) and report limited usual activities (AOR, 2.97; 95% CI, 2.20-4.02), limited work (AOR, 2.72; 95% CI, 2.06-3.60), limited social activities (AOR, 3.10; 95% CI, 2.26-4.26), and severe joint pain (AOR, 1.86; 95% CI, 1.44-2.41).Conclusion
Incremental increases in the number of social risk factors were independently associated with higher odds of arthritis and its burden. Intervention efforts should address the social context of US adults to improve health outcomes.Item Open Access Early prescribing outcomes after exporting the EQUIPPED medication safety improvement programme.(BMJ open quality, 2021-11) Vaughan, Camille P; Hwang, Ula; Vandenberg, Ann E; Leong, Traci; Wu, Daniel; Stevens, Melissa B; Clevenger, Carolyn; Eucker, Stephanie; Genes, Nick; Huang, Wennie; Ikpe-Ekpo, Edidiong; Nassisi, Denise; Previl, Laura; Rodriguez, Sandra; Sanon, Martine; Schlientz, David; Vigliotti, Debbie; Hastings, S NicoleEnhancing quality of prescribing practices for older adults discharged from the Emergency Department (EQUIPPED) aims to reduce the monthly proportion of potentially inappropriate medications (PIMs) prescribed to older adults discharged from the ED to 5% or less. We describe prescribing outcomes at three academic health systems adapting and sequentially implementing the EQUIPPED medication safety programme.EQUIPPED was adapted from a model developed in the Veterans Health Administration (VA) and sequentially implemented in one academic health system per year over a 3-year period. The monthly proportion of PIMs, as defined by the 2015 American Geriatrics Beers Criteria, of all medications prescribed to adults aged 65 years and older at discharge was assessed for 6 months preimplementation until 12 months postimplementation using a generalised linear time series model with a Poisson distribution.The EQUIPPED programme was translated from the VA health system and its electronic medical record into three health systems each using a version of the Epic electronic medical record. Adaptation occurred through local modification of order sets and in the generation and delivery of provider prescribing reports by local champions. Baseline monthly PIM proportions 6 months prior to implementation at the three sites were 5.6% (95% CI 5.0% to 6.3%), 5.8% (95% CI 5.0% to 6.6%) and 7.3% (95% CI 6.4% to 9.2%), respectively. Evaluation of monthly prescribing including the twelve months post-EQUIPPED implementation demonstrated significant reduction in PIMs at one of the three sites. In exploratory analyses, the proportion of benzodiazepine prescriptions decreased across all sites from approximately 17% of PIMs at baseline to 9.5%-12% postimplementation, although not all reached statistical significance.EQUIPPED is feasible to implement outside the VA system. While the impact of the EQUIPPED model may vary across different health systems, results from this initial translation suggest significant reduction in specific high-risk drug classes may be an appropriate target for improvement at sites with relatively low baseline PIM prescribing rates.Item Open Access Identifying Family and Unpaid Caregivers in Electronic Health Records: Descriptive Analysis.(JMIR formative research, 2022-07) Ma, Jessica E; Grubber, Janet; Coffman, Cynthia J; Wang, Virginia; Hastings, S Nicole; Allen, Kelli D; Shepherd-Banigan, Megan; Decosimo, Kasey; Dadolf, Joshua; Sullivan, Caitlin; Sperber, Nina R; Van Houtven, Courtney HBackground
Most efforts to identify caregivers for research use passive approaches such as self-nomination. We describe an approach in which electronic health records (EHRs) can help identify, recruit, and increase diverse representations of family and other unpaid caregivers.Objective
Few health systems have implemented systematic processes for identifying caregivers. This study aimed to develop and evaluate an EHR-driven process for identifying veterans likely to have unpaid caregivers in a caregiver survey study. We additionally examined whether there were EHR-derived veteran characteristics associated with veterans having unpaid caregivers.Methods
We selected EHR home- and community-based referrals suggestive of veterans' need for supportive care from friends or family. We identified veterans with these referrals across the 8 US Department of Veteran Affairs medical centers enrolled in our study. Phone calls to a subset of these veterans confirmed whether they had a caregiver, specifically an unpaid caregiver. We calculated the screening contact rate for unpaid caregivers of veterans using attempted phone screening and for those who completed phone screening. The veteran characteristics from the EHR were compared across referral and screening groups using descriptive statistics, and logistic regression was used to compare the likelihood of having an unpaid caregiver among veterans who completed phone screening.Results
During the study period, our EHR-driven process identified 12,212 veterans with home- and community-based referrals; 2134 (17.47%) veteran households were called for phone screening. Among the 2134 veterans called, 1367 (64.06%) answered the call, and 813 (38.1%) veterans had a caregiver based on self-report of the veteran, their caregiver, or another person in the household. The unpaid caregiver identification rate was 38.1% and 59.5% among those with an attempted phone screening and completed phone screening, respectively. Veterans had increased odds of having an unpaid caregiver if they were married (adjusted odds ratio [OR] 2.69, 95% CI 1.68-4.34), had respite care (adjusted OR 2.17, 95% CI 1.41-3.41), or had adult day health care (adjusted OR 3.69, 95% CI 1.60-10.00). Veterans with a dementia diagnosis (adjusted OR 1.37, 95% CI 1.00-1.89) or veteran-directed care referral (adjusted OR 1.95, 95% CI 0.97-4.20) were also suggestive of an association with having an unpaid caregiver.Conclusions
The EHR-driven process to identify veterans likely to have unpaid caregivers is systematic and resource intensive. Approximately 60% (813/1367) of veterans who were successfully screened had unpaid caregivers. In the absence of discrete fields in the EHR, our EHR-driven process can be used to identify unpaid caregivers; however, incorporating caregiver identification fields into the EHR would support a more efficient and systematic identification of caregivers.Trial registration
ClincalTrials.gov NCT03474380; https://clinicaltrials.gov/ct2/show/NCT03474380.Item Open Access Life Program: Pilot Testing a Palliative Psychology Group Intervention.(Journal of palliative medicine, 2018-11) Ramos, Katherine; Hastings, S Nicole; Bosworth, Hayden B; Fulton, Jessica JBackground
Psychosocial interventions for palliative care populations, individuals with life-limiting illness, improve distress; however, less is known about these interventions among military Veterans.Objectives
This quality improvement project evaluated a palliative psychology group intervention to reduce depression, anxiety, and stress among Veterans with advanced life-limiting illness.Methods
Veterans receiving palliative care at a mid-Atlantic VA healthcare system were referred by a mental health provider. The group intervention was delivered face-to-face in six to eight weekly sessions, with groups of four to eight participants. The intervention (Life Program), was a hybrid of cognitive-behavioral therapy and acceptance and commitment therapy that targeted: personal values, mindfulness, and psychological flexibility. A single-arm pre-post-test design was used to assess depression, anxiety, and stress, and satisfaction with the intervention.Results
Seventy-five percent (39/52) of all Veterans who were contacted expressed interest and agreed to participate. Seventeen of 39 enrolled Veterans completed all sessions. The mean age of participants who completed the program was 63.06 (standard deviation = 8.47). Most participants were male (88%), Caucasian (58%), and had a cancer diagnosis (65%). Mean pre-post reductions in depression (18.82 vs. 13.20), anxiety (16.59 vs. 14.59), stress (19.18 vs. 13.88), and psychological inflexibility were observed. Mean differences in symptom severity were clinically meaningful. Barriers to feasibility included transportation issues and illness burden.Conclusions
Veterans who completed all sessions of a palliative psychology group intervention had reductions in depression, anxiety, and stress. Estimates of the treatment effects may be inflated using completer data alone. Further research is needed to inform ways to improve program engagement and adherence and examine efficacy in Veterans with advanced life-limiting illness.Item Open Access Partner engagement for planning and development of non-pharmacological care pathways in the AIM-Back trial.(Clinical trials (London, England), 2023-06) Ballengee, Lindsay A; King, Heather A; Simon, Corey; Lentz, Trevor A; Allen, Kelli D; Stanwyck, Catherine; Gladney, Micaela; George, Steven Z; Hastings, S NicoleBackground/aims
Embedded pragmatic clinical trials are increasingly recommended for non-pharmacological pain care research due to their focus on examining intervention effectiveness within real-world settings. Engagement with patients, health care providers, and other partners is essential, yet there is limited guidance for how to use engagement to meaningfully inform the design of interventions to be tested in pain-related pragmatic clinical trials. This manuscript aims to describe the process and impacts of partner input on the design of two interventions (care pathways) for low back pain currently being tested in an embedded pragmatic trial in the Veterans Affairs health care system.Methods
Sequential cohort design for intervention development was followed. Engagement activities were conducted with 25 participants between November 2017 and June 2018. Participants included representatives from multiple groups: clinicians, administrative leadership, patients, and caregivers.Results
Partner feedback led to several changes in each of the care pathways to improve patient experience and usability. Major changes to the sequenced care pathway included transitioning from telephone-based delivery to a flexible telehealth model, increased specificity about pain modulation activities, and reduction of physical therapy visits. Major changes to the pain navigator pathway included transitioning from a traditional stepped care model to one that offers care in a feedback loop, increased flexibility regarding pain navigator provider type, and increased specificity for patient discharge criteria. Centering patient experience emerged as a key consideration from all partner groups.Conclusion
Diverse input is important to consider before implementing new interventions in embedded pragmatic trials. Partner engagement can increase acceptability of new care pathways to patients and providers and enhance uptake of effective interventions by health systems.Trial registration
NCT#04411420. Registered on 2 June 2020.Item Open Access Ready, set, go! The role of organizational readiness to predict adoption of a family caregiver training program using the Rogers' diffusion of innovation theory.(Implementation science communications, 2023-06) Van Houtven, Courtney H; Drake, Connor; Malo, Teri L; Decosimo, Kasey; Tucker, Matthew; Sullivan, Caitlin; D'Adolf, Josh; Hughes, Jaime M; Christensen, Leah; Grubber, Janet M; Coffman, Cynthia J; Sperber, Nina R; Wang, Virginia; Allen, Kelli D; Hastings, S Nicole; Shea, Christopher M; Zullig, Leah LBackground
Caregivers FIRST is an evidence-based program addressing gaps in caregivers' skills. In 2020, the Veterans Health Administration Caregiver Support Program (CSP) nationally endorsed Caregivers FIRST, offering credit in leadership performance plans to encourage all VA medical centers (VAMCs) to implement locally. This study examines the association of organizational readiness with VAMC adoption of Caregivers FIRST.Methods
In a cohort observational study, we surveyed CSP managers about their facilities' readiness to implement using the Organizational Readiness for Implementing Change (ORIC) instrument and compared change commitment and change efficacy domains among VAMCs "adopters" defined as delivering Caregivers FIRST within 1 year of the national announcement to those that did not ("non-adopters"). Within "adopters," we categorized time to adoption based on Rogers' diffusion of innovation theory including "innovators," "early adopters," "early majority," "late adopters," and "laggards." Organizational readiness and site characteristics (facility complexity, staffing levels, volume of applications for caregiver assistance services) were compared between "adopters," "non-adopters," and between time to adoption subcategories. Separate logistic regression models were used to assess whether ORIC and site characteristics were associated with early adoption among "adopters."Results
Fifty-one of 63 (81%) VAMCs with CSP manager survey respondents adopted Caregivers FIRST during the first year. ORIC change commitment and efficacy were similar for "adopters" and "non-adopters." However, sites that adopted earlier (innovators and early adopters) had higher ORIC change commitment and efficacy scores than the rest of the "adopters." Logistic regression results indicated that higher ORIC change commitment (odds ratio [OR] = 2.57; 95% confidence interval [CI], 1.11-5.95) and ORIC change efficacy (OR = 2.60; 95% CI, 1.12-6.03) scores were associated with increased odds that a VAMC was an early adopter (categorized as an "innovator," "early adopter", or "early majority"). Site-level characteristics were not associated with Caregivers FIRST early adoption.Conclusions
To our knowledge, this study is the first to prospectively assess organizational readiness and the timing of subsequent program adoption. Early adoption was associated with higher ORIC change commitment and change efficacy and not site-level characteristics. These findings yield insights into the role of organizational readiness to accelerate program adoption.Trial registration
ClinicalTrials.gov, NCT03474380. Registered on March 22, 2018.Item Open Access Understanding veterans' experiences with lung cancer and psychological distress: A multimethod approach.(Psychological services, 2024-03) Ramos, Katherine; King, Heather A; Gladney, Micaela N; Woolson, Sandra L; Coffman, Cynthia; Bosworth, Hayden B; Porter, Laura S; Hastings, S NicolePsychological distress while coping with cancer is a highly prevalent and yet underrecognized and burdensome adverse effect of cancer diagnosis and treatment. Left unaddressed, psychological distress can further exacerbate poor mental health, negatively influence health management behaviors, and lead to a worsening quality of life. This multimethod study primarily focused on understanding veterans' psychological distress and personal experiences living with lung cancer (an underrepresented patient population). In a sample of 60 veterans diagnosed with either nonsmall cell lung cancer (NSCLC) or small cell lung cancer (SCLC), we found that distress is common across clinical psychology measures of depression (37% [using the Patient Health Questionnaire, PHQ-9 measure]), anxiety (35% [using the Generalized Anxiety Disorder, GAD-7 measure]), and cancer-related posttraumatic stress (13% [using the Posttraumatic Stress Symptom Checklist measure]). A total of 23% of the sample endorsed distress scores on two or more mental health screeners. Using a broader cancer-specific distress measure (National Comprehensive Cancer Network), 67% of our sample scored above the clinical cutoff (i.e., ≥ 3), and in the follow-up symptom checklist of the National Comprehensive Cancer Network measure, a majority endorsed feeling sadness (75%), worry (73%), and depression (60%). Qualitative analysis with a subset of 25 veterans highlighted that psychological distress is common, variable in nature, and quite bothersome. Future research should (a) identify veterans at risk for distress while living with lung cancer and (b) test supportive mental health interventions to target psychological distress among this vulnerable veteran population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).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.Item Open Access Use of the consolidated framework for implementation research in a mixed methods evaluation of the EQUIPPED medication safety program in four academic health system emergency departments.(Frontiers in health services, 2022-01) Kegler, Michelle C; Rana, Shaheen; Vandenberg, Ann E; Hastings, S Nicole; Hwang, Ula; Eucker, Stephanie A; Vaughan, Camille PBackground
Enhancing Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department (EQUIPPED) is an effective quality improvement program initially designed in the Veterans Administration (VA) health care system to reduce potentially inappropriate medication prescribing for adults aged 65 years and older. This study examined factors that influence implementation of EQUIPPED in EDs from four distinct, non-VA academic health systems using a convergent mixed methods design that operationalized the Consolidated Framework for Implementation Research (CFIR). Fidelity of delivery served as the primary implementation outcome.Materials and methods
Four EDs implemented EQUIPPED sequentially from 2017 to 2021. Using program records, we scored each ED on a 12-point fidelity index calculated by adding the scores (1-3) for each of four components of the EQUIPPED program: provider receipt of didactic education, one-on-one academic detailing, monthly provider feedback reports, and use of order sets. We comparatively analyzed qualitative data from focus groups with each of the four implementation teams (n = 22) and data from CFIR-based surveys of ED providers (108/234, response rate of 46.2%) to identify CFIR constructs that distinguished EDs with higher vs. lower levels of implementation.Results
Overall, three sites demonstrated higher levels of implementation (scoring 8-9 of 12) and one ED exhibited a lower level (scoring 5 of 12). Two constructs distinguished between levels of implementation as measured through both quantitative and qualitative approaches: patient needs and resources, and organizational culture. Implementation climate distinguished level of implementation in the qualitative analysis only. Networks and communication, and leadership engagement distinguished level of implementation in the quantitative analysis only.Discussion
Using CFIR, we demonstrate how a range of factors influence a critical implementation outcome and build an evidence-based approach on how to prime an organizational setting, such as an academic health system ED, for successful implementation.Conclusion
This study provides insights into implementation of evidence-informed programs targeting medication safety in ED settings and serves as a potential model for how to integrate theory-based qualitative and quantitative methods in implementation studies.Item Open Access Validating administratively derived frailty scores for use in Veterans Health Administration emergency departments.(Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2023-04) Dev, Sharmistha; Gonzalez, Andrew A; Coffing, Jessica; Slaven, James E; Dev, Shantanu; Taylor, Stan; Ballard, Carrie; Hastings, S Nicole; Bravata, Dawn MObjectives
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.