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Dive into the research topics where Elizabeth Archambault is active.

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Featured researches published by Elizabeth Archambault.


Journal of Religion & Health | 2012

Religious coping and psychological distress in military veteran cancer survivors.

Kelly M. Trevino; Elizabeth Archambault; Jennifer Schuster; Peter Richardson; Jennifer Moye

Research on the relationship between religious coping and psychological well-being in cancer survivors is limited. Forty-eight veteran cancer survivors completed measures of psychological distress, posttraumatic growth, and positive and negative religious coping. Negative religious coping was associated with greater distress and growth. Positive religious coping was associated with greater growth. Gender, race, and religious affiliation were significant predictors of positive and negative religious coping. Veteran cancer survivors who utilize negative religious coping may benefit from referral to clergy or a mental health professional. Assessment of religious coping may be particularly important for female, non-White, and Christian cancer survivors.


Alzheimer's Research & Therapy | 2014

A controlled trial of Partners in Dementia Care: veteran outcomes after six and twelve months

David M. Bass; Katherine S. Judge; ALynn Snow; Nancy Wilson; Robert O. Morgan; Katie Maslow; Ronda Randazzo; Jennifer Moye; Germaine Odenheimer; Elizabeth Archambault; Richard Elbein; Paul A. Pirraglia; Thomas A. Teasdale; Catherine A. McCarthy; Wendy J. Looman; Mark E. Kunik

Introduction“Partners in Dementia Care” (PDC) tested the effectiveness of a care-coordination program integrating healthcare and community services and supporting veterans with dementia and their caregivers. Delivered via partnerships between Veterans Affairs medical centers and Alzheimer’s Association chapters, PDC targeted both patients and caregivers, distinguishing it from many non-pharmacological interventions. Hypotheses posited PDC would improve five veteran self-reported outcomes: 1) unmet need, 2) embarrassment about memory problems, 3) isolation, 4) relationship strain and 5) depression. Greater impact was expected for more impaired veterans. A unique feature was self-reported research data collected from veterans with dementia.Methods and FindingsFive matched communities were study sites. Two randomly selected sites received PDC for 12 months; comparison sites received usual care. Three structured telephone interviews were completed every 6 months with veterans who could participate.ResultsOf 508 consenting veterans, 333 (65.6%) completed baseline interviews. Among those who completed baseline interviews, 263 (79.0%) completed 6-month follow-ups and 194 (58.3%) completed 12-month follow-ups. Regression analyses showed PDC veterans had significantly less adverse outcomes than those receiving usual care, particularly for more impaired veterans after 6 months, including reduced relationship strain (B = −0.09; p = 0.05), depression (B = −0.10; p = 0.03), and unmet need (B = −0.28; p = 0.02; and B = −0.52; p = 0.08). PDC veterans also had less embarrassment about memory problems (B = −0.24; p = 0.08). At 12 months, more impaired veterans had further reductions in unmet need (B = −0.96; p < 0.01) and embarrassment (B = −0.05; p = 0.02). Limitations included use of matched comparison sites rather than within-site randomization and lack of consideration for variation within the PDC group in amounts and types of assistance provided.ConclusionsPartnerships between community and health organizations have the potential to meet the dementia-related needs and improve the psychosocial functioning of persons with dementia.Trial RegistryNCT00291161


Journal of the American Medical Directors Association | 2014

A Delirium Risk Modification Program Is Associated With Hospital Outcomes

James L. Rudolph; Elizabeth Archambault; Brittany Kelly

BACKGROUND Delirium has been associated with negative health consequences, which can potentially be improved by delirium risk modification. This study sought to determine if a quality improvement project to identify and modify delirium risk and discharge to rehabilitation is associated with improved outcomes for patients and health care systems. METHODS In older veterans admitted to a tertiary VA hospital, delirium risk was assessed using cognitive impairment, vision impairment, and dehydration. Delirium risk was communicated to providers via electronic medical record. To modify delirium risk, interventions were provided in cognitive stimulation, sensory improvement, and sleep promotion. Primary outcomes included length of stay, restraint use, discharge to rehabilitation, and hospital variable direct costs. Outcomes were compared using a propensity-matched cohort of patients without intervention. Number of intervention categories was compared with primary outcomes. RESULTS Patients (n = 1527) were older (78.2 ± 8.3 years) and male (98%). Propensity-matched patients (n = 566) were well matched for age, gender, cognitive deficits, vision impairment, and dehydration. Patients with interventions were discharged to rehabilitation similarly (mean difference [MD] 2.2%, 95% CI -2.5-6.9) and had lower lengths of stay (MD -0.7 day, 95% CI -1.3 to -0.1), lower restraint use (MD -4.0%, 95% CI -6.7 to -1.2) and trended toward lower variable direct costs (MD -


Journal of the American Medical Directors Association | 2016

Validation of a Delirium Risk Assessment Using Electronic Medical Record Information

James L. Rudolph; Kelly Doherty; Brittany Kelly; Jane A. Driver; Elizabeth Archambault

1390, 95% CI -3586-807). Increasing number of interventions was associated with shorter length of stay, lower rate of restraint use, and lower variable direct costs. CONCLUSIONS This delirium risk modification project was associated with patient outcomes and reduced costs. Serious consideration should be given to delirium risk identification and modification programs.


Journal of Psychosocial Oncology | 2011

Religiosity and Spirituality in Military Veteran Cancer Survivors: A Qualitative Perspective

Kelly M. Trevino; Elizabeth Archambault; Jennifer Schuster; Michelle M. Hilgeman; Jennifer Moye

OBJECTIVE Identifying patients at risk for delirium allows prompt application of prevention, diagnostic, and treatment strategies; but is rarely done. Once delirium develops, patients are more likely to need posthospitalization skilled care. This study developed an a priori electronic prediction rule using independent risk factors identified in a National Center of Clinical Excellence meta-analysis and validated the ability to predict delirium in 2 cohorts. DESIGN Retrospective analysis followed by prospective validation. SETTING Tertiary VA Hospital in New England. PARTICIPANTS A total of 27,625 medical records of hospitalized patients and 246 prospectively enrolled patients admitted to the hospital. MEASUREMENTS The electronic delirium risk prediction rule was created using data obtained from the patient electronic medical record (EMR). The primary outcome, delirium, was identified 2 ways: (1) from the EMR (retrospective cohort) and (2) clinical assessment on enrollment and daily thereafter (prospective participants). We assessed discrimination of the delirium prediction rule with the C-statistic. Secondary outcomes were length of stay and discharge to rehabilitation. RESULTS Retrospectively, delirium was identified in 8% of medical records (n = 2343); prospectively, delirium during hospitalization was present in 26% of participants (n = 64). In the retrospective cohort, medical record delirium was identified in 2%, 3%, 11%, and 38% of the low, intermediate, high, and very high-risk groups, respectively (C-statistic = 0.81; 95% confidence interval 0.80-0.82). Prospectively, the electronic prediction rule identified delirium in 15%, 18%, 31%, and 55% of these groups (C-statistic = 0.69; 95% confidence interval 0.61-0.77). Compared with low-risk patients, those at high- or very high delirium risk had increased length of stay (5.7 ± 5.6 vs 3.7 ± 2.7 days; P = .001) and higher rates of discharge to rehabilitation (8.9% vs 20.8%; P = .02). CONCLUSIONS Automatic calculation of delirium risk using an EMR algorithm identifies patients at risk for delirium, which creates a critical opportunity for gaining clinical efficiencies and improving delirium identification, including those needing skilled care.


Journal of Hospital Medicine | 2015

The association between an ultrabrief cognitive screening in older adults and hospital outcomes

Andrea Yevchak; Kelly Doherty; Elizabeth Archambault; Brittany Kelly; Jennifer R. Fonda; James L. Rudolph

Religiosity/spirituality (R/S) is often involved in coping with cancer. Qualitative research effectively captures the individuality of R/S constructs. Fourteen military veteran cancer survivors participated in focus groups. R/S questions included “How have your religious/spiritual beliefs affected how you cope with your cancer” and “How have your religious/spiritual beliefs changed as a result of your experience with cancer?” Five primary themes emerged: impact of cancer on R/S, meaning-making, prayer, religious/spiritual role of others, and facing death. Consistency and individuality characterized the role of R/S in cancer survivorship across themes. Implications for future research are discussed.


Clinical Interventions in Aging | 2014

Delirium markers in older fallers: a case-control study.

Kelly Doherty; Elizabeth Archambault; Brittany Kelly; James L. Rudolph

BACKGROUND Though often recommended, hospital cognitive assessment is infrequently completed due to clinical and time constraints. OBJECTIVE This analysis aimed to evaluate the relationship between performance on ultrabrief cognitive screening instruments and hospital outcomes. DESIGN This is a secondary data analysis of a quality improvement project. SETTING Tertiary Veterans Administration hospital in New England. PATIENTS Patients, ≥ 60 years old, admitted to the hospital. INTERVENTION None. MEASUREMENTS Upon admission, patients were administered 2 cognitive screening tools. The modified Richmond Agitation and Sedation Scale (mRASS) is a measure of arousal that can be completed in 15 seconds. The months of the year backward (MOYB) is a measure of attention that can be administered in ≤1 minute. In-hospital outcomes included restraints and mortality, whereas discharge outcomes included length of stay, discharge not home, and variable direct costs. Risk ratios were calculated for dichotomous outcomes and unadjusted Poisson regression for continuous outcomes. RESULTS Patients (n = 3232) were screened. Altered arousal occurred in 15% of patients (n = 495); incorrect MOYB was recorded in 45% (n = 1457). Relative to those with normal arousal and attention, those with abnormal mRASS and incorrect MOYB had increased length of stay (incident rate ratio [IRR]: 1.23, 95% confidence interval [CI]: 1.17-1.30); restraint use (risk ratio [RR]: 5.05, 95% CI: 3.29-7.75), in-hospital mortality (RR: 3.46, 95% CI: 1.24-9.63), and decreased discharge home (RR: 2.97, 95% CI: 2.42-3.64). Hospital variable direct costs were slightly, but not significantly, higher (IRR: 1.02, 95% CI: 0.88-1.17). CONCLUSION Impaired performance on ultrabrief cognitive assessments of arousal and attention provide valuable insights regarding hospital outcomes.


Archive | 2017

Delirium: Risk Identification, Mitigation, and Intervention

James L. Rudolph; Elizabeth Archambault; Maggi A. Budd

Background When a hospitalized older patient falls or develops delirium, there are significant consequences for the patient and the health care system. Assessments of inattention and altered consciousness, markers for delirium, were analyzed to determine if they were also associated with falls. Methods This retrospective case-control study from a regional tertiary Veterans Affairs referral center identified falls and delirium risk factors from quality databases from 2010 to 2012. Older fallers with complete delirium risk assessments prior to falling were identified. As a control, non-fallers were matched at a 3:1 ratio. Admission risk factors that were compared in fallers and non-fallers included altered consciousness, cognitive performance, attention, sensory deficits, and dehydration. Odds ratio (OR) was reported (95% confidence interval [CI]). Results After identifying 67 fallers, the control population (n=201) was matched on age (74.4±9.8 years) and ward (83.6% medical; 16.4% intensive care unit). Inattention as assessed by the Months of the Year Backward test was more common in fallers (67.2% versus 50.8%, OR=2.0; 95% CI: 1.1–3.7). Fallers tended to have altered consciousness prior to falling (28.4% versus 12.4%, OR=2.8; 95% CI: 1.3–5.8). Conclusion In this case-control study, alterations in consciousness and inattention, assessed prior to falling, were more common in patients who fell. Brief assessments of consciousness and attention should be considered for inclusion in fall prediction.


Clinical Interventions in Aging | 2016

The Clock-in-the-Box, a brief cognitive screen, is associated with failure to return home in an elderly hospitalized sample

Colleen E. Jackson; Laura J. Grande; Kelly Doherty; Elizabeth Archambault; Brittany Kelly; Jane A. Driver; William P. Milberg; Regina E. McGlinchey; James L. Rudolph

Delirium is an acute change in attention and other cognitive functions, which may also include altered consciousness and disorganized thinking. Delirium is a direct result of an underlying medical condition that occurs when the brain is overwhelmed by stressors in the body and environment. While all are susceptible to delirium, the elderly and those with cognitive impairment are at heightened risk. Delirium may present as a short-term reversible condition or persist for months and is often associated with long-term negative medical and functional outcomes. This chapter highlights the importance of delirium risk identification and present methods for risk identification and a standardized treatment protocol to reduce the incidence or mitigate complications using an empirically studied intervention program. Delirium risk identification, prevention, and treatment can hinder the long-term medical, functional, and cost outcomes associated with this common syndrome.


Journal of the American Medical Directors Association | 2015

Impaired Arousal in Older Adults Is Associated With Prolonged Hospital Stay and Discharge to Skilled Nursing Facility

Andrea Yevchak; Jin H. Han; Kelly Doherty; Elizabeth Archambault; Brittany Kelly; Rameela Chandrasekhar; E. Wesley Ely; James L. Rudolph

Purpose Cognitive screening upon hospital admission can provide important information about the patient’s ability to process information during the inpatient stay. The Clock-in-the-Box (CIB) is a rapidly administered cognitive screening measure which has been previously validated with cognitive screening and neuropsychological assessments. The purpose of this study is to demonstrate the predictive validity of the CIB for discharge location among a sample of older medical inpatients. Patients and methods Hospitalized Veterans (N=218), aged 55 years and older, were recruited on the day after admission after they gave their consent. These participants completed the CIB, the Montreal Cognitive Assessment, and self-report measures of daily functioning. Using logistic regression models, the bivariable and multivariable impact of the cognitive screening and functional assessments were examined for their ability to predict whether the participants did not return home after hospitalization (eg, admission to subacute rehabilitation facilities or nursing facilities). Results The participants were older (mean 71.5±9.5 years) and predominantly male (92.7%). The CIB score was independently associated with discharge to locations other than home (odds ratio =0.72, 95% confidence interval =0.60–0.87, P=0.001) and remained associated after adjusting for demographics, prehospitalization functional abilities, and Montreal Cognitive Assessment score (adjusted odds ratio =0.55, 95% confidence interval =0.36–0.83, P=0.004). Conclusion The current evidence, combined with its brevity and ease of use, supports the use of the CIB as a cognitive screen for inpatient older adults, in order to help inform clinical treatment decisions and discharge planning.

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Brittany Kelly

VA Boston Healthcare System

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Kelly Doherty

VA Boston Healthcare System

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Jennifer Moye

VA Boston Healthcare System

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Andrea Yevchak

Pennsylvania State University

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Jane A. Driver

Brigham and Women's Hospital

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Jennifer Schuster

VA Boston Healthcare System

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Aanand D. Naik

Baylor College of Medicine

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