Indicators of Elder Mistreatment: Correlates among Veterans Receiving Care in the Veterans Health Administration

Abstract Among community-dwelling adults ages 65 and older, approximately 11% have experienced elder mistreatment (EM), including physical, emotional or sexual abuse, neglect, or financial exploitation. EM research typically focuses on this age group; however, Veterans receiving Veterans Health Administration (VHA) care have increased earlier morbidity, which may accelerate the impacts of EM. Using a cohort of all VHA Veterans 50 years and older with VHA use in 2018-2020, we examined correlates of EM. ICD-10 codes from clinical encounters identified Veterans with indications of EM (n=4,427). A 10% sample of Veterans without indications of EM was selected for comparison (n=530,535). Logistic regression compared EM+ Veterans to the comparison sample and assessed overall demographic and clinical differences as well as differences by age, i.e. 50-64 versus 65 and older. Overall, female gender (OR=5.3, 95% CI=4.3-6.5), non-white race/ethnicity (OR=1.7, CI=1.5-1.9), dementia (OR=3.0, CI=2.6-3.5), PTSD (OR=2.0, CI=1.6-2.5), anxiety (OR=1.3, CI=1.0-1.5), military service connected disability status (OR=1.3, CI=1.1-1.5), and higher Elixhauser medical morbidity scores (OR=1.1, CI=1.1-1.1) were associated with EM. Prior year ER visits (OR=28.0, CI=23.6-33.4), inpatient stays (OR=14.0, CI=11.5-17.0), and mental health visits (OR=26.1, CI=22.2-30.6) also predicted EM+ status. Forty-six percent of VHA Veterans with indicators of EM were aged 50-64. For these Veterans, female gender, PTSD, service connection, and mental health visits were associated with increased risk of EM compared to Veterans 65+. Findings highlight clinical correlates of EMs among Veterans in VHA care. Increased awareness of EM risk factors is warranted and may inform VHA efforts for EM prevention, detection and intervention.

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Association between acute psychiatric bed availability in the Veterans Health Administration and veteran suicide risk: a retrospective cohort study

BMJ Quality & Safety ◽

10.1136/bmjqs-2020-012975 ◽

2021 ◽

pp. bmjqs-2020-012975

Author(s):

Peter J Kaboli ◽

Matthew R Augustine ◽

Bjarni Haraldsson ◽

Nicholas M Mohr ◽

M Bryant Howren ◽

...

Keyword(s):

Mental Health ◽

Cohort Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Suicide Risk ◽

Veterans Health Administration ◽

Veterans Health ◽

Health Administration ◽

Bed Occupancy ◽

Increased Risk

BackgroundVeteran suicides have increased despite mental health investments by the Veterans Health Administration (VHA).ObjectiveTo examine relationships between suicide and acute inpatient psychiatric bed occupancy and other community, hospital and patient factors.MethodsRetrospective cohort study using administrative and publicly available data for contextual community factors. The study sample included all veterans enrolled in VHA primary care in 2011–2016 associated with 111 VHA hospitals with acute inpatient psychiatric units. Acute psychiatric bed occupancy, as a measure of access to care, was the main exposure of interest and was categorised by quarter as per cent occupied using thresholds of ≤85%, 85.1%–90%, 90.1%–95% and >95%. Hospital-level analyses were conducted using generalised linear mixed models with random intercepts for hospital, modelling number of suicides by quarter with a negative binomial distribution.ResultsFrom 2011 to 2016, the national incidence of suicide among enrolled veterans increased from 39.7 to 41.6 per 100 000 person-years. VHA psychiatric bed occupancy decreased from a mean of 68.2% (IQR 56.5%–82.2%) to 65.4% (IQR 53.9%–79.9%). VHA hospitals with the highest occupancy (>95%) in a quarter compared with ≤85% had an adjusted incident rate ratio (IRR) for suicide of 1.10 (95% CI 1.01 to 1.19); no increased risk was observed for 85.1%–90% (IRR 0.96; 95% CI 0.89 to 1.03) or 90.1%–95% (IRR 0.96; 95% CI 0.89 to 1.04) compared with ≤85% occupancy. Of hospital and community variables, suicide risk was not associated with number of VHA or non-VHA psychiatric beds or amount spent on community mental health. Suicide risk increased by age categories, seasons, geographic regions and over time.ConclusionsHigh VHA hospital occupancy (>95%) was associated with a 10% increased suicide risk for veterans whereas absolute number of beds was not, suggesting occupancy is an important access measure. Future work should clarify optimal bed occupancy to meet acute psychiatric needs and ensure adequate bed distribution.

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Veterans Health Administration Mental Health Program Evaluation: Capstone Report

PsycEXTRA Dataset ◽

10.1037/e525432012-001 ◽

2011 ◽

Cited By ~ 2

Author(s):

Katherine E. Watkins ◽

◽

Harold Alan Pincus ◽

Brad Smith ◽

Susan M. Paddock ◽

...

Keyword(s):

Mental Health ◽

Program Evaluation ◽

Health Program ◽

Mental Health Program ◽

Veterans Health Administration ◽

Veterans Health ◽

Health Administration

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Veterans Health Administration Mental Health Program Evaluation Technical Manual

PsycEXTRA Dataset ◽

10.1037/e646132010-001 ◽

2009 ◽

Cited By ~ 1

Author(s):

Marcela Horovitz-Lennon ◽

Katherine E. Watkins ◽

Harold Alan Pincus ◽

Lisa R. Shugarman ◽

Brad Smith ◽

...

Keyword(s):

Mental Health ◽

Program Evaluation ◽

Health Program ◽

Mental Health Program ◽

Veterans Health Administration ◽

Veterans Health ◽

Health Administration ◽

Technical Manual

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Predictors of Veterans Health Administration utilization and pain persistence among soldiers treated for postdeployment chronic pain in the Military Health System

BMC Health Services Research ◽

10.1186/s12913-021-06536-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Rachel Sayko Adams ◽

Esther L. Meerwijk ◽

Mary Jo Larson ◽

Alex H. S. Harris

Keyword(s):

Mental Health ◽

Health Care ◽

Chronic Pain ◽

Veterans Health Administration ◽

First Year ◽

Veterans Health ◽

Health Administration ◽

Military Health System ◽

Military Health ◽

The Military

Abstract Background Chronic pain presents a significant burden for both federal health care systems designed to serve combat Veterans in the United States (i.e., the Military Health System [MHS] and Veterans Health Administration [VHA]), yet there have been few studies of Veterans with chronic pain that have integrated data from both systems of care. This study examined 1) health care utilization in VHA as an enrollee (i.e., linkage to VHA) after military separation among soldiers with postdeployment chronic pain identified in the MHS, and predictors of linkage, and 2) persistence of chronic pain among those utilizing the VHA. Methods Observational, longitudinal study of soldiers returning from a deployment in support of the Afghanistan/Iraq conflicts in fiscal years 2008–2014. The analytic sample included 138,206 active duty soldiers for whom linkage to VHA was determined through FY2019. A Cox proportional hazards model was estimated to examine the effects of demographic characteristics, military history, and MHS clinical characteristics on time to linkage to VHA after separation from the military. Among the subpopulation of soldiers who linked to VHA, we described whether they met criteria for chronic pain in the VHA and pain management treatments received during the first year in VHA. Results The majority (79%) of soldiers within the chronic pain cohort linked to VHA after military separation. Significant predictors of VHA linkage included: VHA utilization as a non-enrollee prior to military separation, separating for disability, mental health comorbidities, and being non-Hispanic Black or Hispanic. Soldiers that separated because of misconduct were less likely to link than other soldiers. Soldiers who received nonpharmacological treatments, opioids/tramadol, or mental health treatment in the MHS linked earlier to VHA than soldiers who did not receive these treatments. Among those who enrolled in VHA, during the first year after linking to the VHA, 49.7% of soldiers met criteria for persistent chronic pain in VHA. Conclusions The vast majority of soldiers identified with chronic pain in the MHS utilized care within VHA after military separation. Careful coordination of pain management approaches across the MHS and VHA is required to optimize care for soldiers with chronic pain.

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Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: observational evaluation

BMJ ◽

10.1136/bmj.m283 ◽

2020 ◽

pp. m283 ◽

Cited By ~ 12

Author(s):

Elizabeth M Oliva ◽

Thomas Bowe ◽

Ajay Manhapra ◽

Stefan Kertesz ◽

Jennifer M Hah ◽

...

Keyword(s):

Opioid Analgesic ◽

Veterans Health Administration ◽

Fiscal Year ◽

Veterans Health ◽

Health Administration ◽

Opioid Treatment ◽

Risk Of Death ◽

Length Of Treatment ◽

Increased Risk ◽

Stopping Treatment

Abstract Objective To examine the associations between stopping treatment with opioids, length of treatment, and death from overdose or suicide in the Veterans Health Administration. Design Observational evaluation. Setting Veterans Health Administration. Participants 1 394 102 patients in the Veterans Health Administration with an outpatient prescription for an opioid analgesic from fiscal year 2013 to the end of fiscal year 2014 (1 October 2012 to 30 September 2014). Main outcome measures A multivariable Cox non-proportional hazards regression model examined death from overdose or suicide, with the interaction of time varying opioid cessation by length of treatment (≤30, 31-90, 91-400, and >400 days) as the main covariates. Stopping treatment with opioids was measured as the time when a patient was estimated to have no prescription for opioids, up to the end of the next fiscal year (2014) or the patient’s death. Results 2887 deaths from overdose or suicide were found. The incidence of stopping opioid treatment was 57.4% (n = 799 668) overall, and based on length of opioid treatment was 32.0% (≤30 days), 8.7% (31-90 days), 22.7% (91-400 days), and 36.6% (>400 days). The interaction between stopping treatment with opioids and length of treatment was significant (P<0.001); stopping treatment was associated with an increased risk of death from overdose or suicide regardless of the length of treatment, with the risk increasing the longer patients were treated. Hazard ratios for patients who stopped opioid treatment (with reference values for all other covariates) were 1.67 (≤30 days), 2.80 (31-90 days), 3.95 (91-400 days), and 6.77 (>400 days). Descriptive life table data suggested that death rates for overdose or suicide increased immediately after starting or stopping treatment with opioids, with the incidence decreasing over about three to 12 months. Conclusions Patients were at greater risk of death from overdose or suicide after stopping opioid treatment, with an increase in the risk the longer patients had been treated before stopping. Descriptive data suggested that starting treatment with opioids was also a risk period. Strategies to mitigate the risk in these periods are not currently a focus of guidelines for long term use of opioids. The associations observed cannot be assumed to be causal; the context in which opioid prescriptions were started and stopped might contribute to risk and was not investigated. Safer prescribing of opioids should take a broader view on patient safety and mitigate the risk from the patient’s perspective. Factors to address are those that place patients at risk for overdose or suicide after beginning and stopping opioid treatment, especially in the first three months.

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