Health Services Use Among Veterans Using U.S. Department of Veterans Affairs and Mainstream Homeless Services

Correlates of the Abnormal Involuntary Movement Scale in Veterans With Tardive Dyskinesia

PURPOSE/BACKGROUND

To add to limited evidence on the Abnormal Involuntary Movement Scale (AIMS) as a measure of tardive dyskinesia (TD) in clinical practice settings, the characteristics and correlates of AIMS scores were assessed.

METHODS/PROCEDURES

Veterans with schizophrenia/schizoaffective, bipolar, or major depressive disorders receiving antipsychotics and at least 1 AIMS score during October 1, 2014, to September 30, 2015, were identified. Tardive dyskinesia was determined by the International Classification of Diseases, Ninth Revision, Clinical Modification, codes. Correlates of AIMS scores were examined using χ or t tests. Odds ratios and β parameters with 95% confidence intervals for categorical and continuous variables associated with AIMS scores were derived from a multivariate logistic and linear regression, respectively.

FINDINGS/RESULTS

Among 7985 veterans receiving antipsychotics, only 4706 (58.9%) had at least 1 AIMS examination. Of these, 229 (4.9%) were diagnosed with possible TD. The mean total AIMS scores and AIMS awareness/incapacitation scores were significantly higher for patients with TD (both P < 0.0001). Comparing diagnostic threshold criteria of AIMS ratings, only 17.5% to 37.1% of veterans with TD were successfully identified. Among TD patients, 21.4% had a total score of moderate-severe and 15.3% had ratings of at least mild movements in 2 or more body regions. In the regression analyses, being older, African-American, having schizophrenia/schizoaffective disorder, and receiving antipsychotics or benztropine significantly increased the severity of AIMS scores. Higher AIMS scores were not predictive of outcomes other than marital status in socioeconomic or healthcare domains.

IMPLICATIONS/CONCLUSIONS

Although the AIMS is essential for TD research, its value in clinical practice without training and oversight remains unclear. Efforts to adapt screening procedures to clinical needs may be worthwhile.

Demographic Correlates of Veterans' Adverse Social Determinants of Health

INTRODUCTION

Identifying patient populations most affected by adverse social determinants of health can direct epidemiologic investigation, guide development of tailored interventions, and improve clinical care and outcomes. This study explores how demographic characteristics are associated with specific types-and cumulative burden-of adverse social determinants of health among Veterans seeking Veterans Health Administration health care.

METHODS

Data included electronic health records for 293,872 patients of Veterans Health Administration facilities in one region of the country between October 1, 2015 and September 30, 2016. A series of multiple logistic regressions conducted between August and December 2019 examined how demographic variables are associated with 7 adverse social determinants of health. A negative binomial regression examined the association between demographic characteristics and cumulative burden of social determinants of health.

RESULTS

Demographic characteristics were associated with increased odds of each type of adverse social determinant of health: minority race, unmarried status, and Veterans' service connected disability status. Conversely, living in a rural area and being aged >40 years were associated with decreased odds of most of the adverse social determinants of health studied here. Hispanic ethnicity and female sex were inconsistently associated with increased odds of some adverse social determinants of health and decreased odds of others. These results are mirrored in the analysis of predictors of cumulative burden of adverse social determinants of health.

CONCLUSIONS

There is increasing and ongoing interest in ways to identify and respond to patients' experiences of or exposures to adverse social determinants of health. Demographic characteristics may signal the need to assess for adverse social determinants of health. Analyses exploring latent factors among these social determinants (e.g., poverty) may inform strategies to identify patients experiencing adverse social determinants of health and provide responsive interventions.

Cumulative Burden of Illness in Veterans With Tardive Dyskinesia and Serious Mental Disorders

PURPOSE/BACKGROUND

To inform cost-benefit decisions for veterans, the risk of tardive dyskinesia (TD) and its impact on comorbidities and outcomes were assessed.

METHODS/PROCEDURES

In a retrospective study, veterans with schizophrenia/schizoaffective, and bipolar and major depressive disorders receiving antipsychotics during the period October 1, 2014, to September 30, 2015, were identified. Tardive dyskinesia was determined by International Classification of Diseases, Ninth Revision, Clinical Modification codes. Correlates of TD were examined using χ or t tests. Odds ratios (ORs) and β parameters with 95% confidence intervals (CIs) for categorical and continuous variables associated with TD were derived from a multivariate logistic and linear regression, respectively.

FINDINGS/RESULTS

Among 7985 veterans, 332 (4.2%) were diagnosed as having possible TD. The odds of having TD were higher for older veterans (OR, 1.04; 95% CI, 1.03-1.05; P < 0.0001) and veterans with schizophrenia/schizoaffective disorder (OR, 1.54; 95% CI, 1.23-1.91; P < 0.0001) or diabetes (OR, 1.64; 95% CI, 1.30-2.06; P < 0.0001). Veterans with TD received more antipsychotic prescriptions (mean ± SD, 18.4 ± 30.3 vs 13.3 ± 26.4; P = 0.003) and days of supply (233.9 ± 95.4 vs 211.4 ± 102.0; P < 0.0001). They were more likely to have received 2 or more antipsychotics (27.1% vs 19.7%, P = 0.0009) and benztropine (OR, 2.25: 95% CI 1.73-2.91; P < 0.0001). Veterans with TD had a higher Charlson Comorbidity Index score (β = 0.32; SE, 0.09; 95% CI, 0.14-0.49; P = 0.0003) and higher odds of any medical hospitalization (OR, 1.45; 95% CI, 1.07-1.95; P = 0.001).

IMPLICATIONS/CONCLUSIONS

The diagnosis of possible TD was associated with older age, schizophrenia/schizoaffective disorder, medical comorbidity, and hospitalization. Tardive dyskinesia may be a marker for patients at risk of adverse health care outcomes and diminished quality of life.

Socioeconomic Disparities and Metabolic Risk in Veterans with Serious Mental Illness

Socioeconomic disparities were assessed in predicting metabolic risk among veterans with serious mental illness. Veterans with schizophrenia, schizoaffective, or bipolar disorders were identified in VISN 4 facilities from 10/1/2010 to 9/30/2012. Differences between patients with and without metabolic syndrome were compared using t-tests, Chi square tests and multivariate logistic regressions. Among 10,132 veterans with mental illness, 48.8% had metabolic syndrome. Multivariate logistic regression analysis confirmed that patients with metabolic syndrome were significantly more likely to be older, male, African-American, married, and receiving disability pensions but less likely to be homeless. They were more likely to receive antipsychotics, antidepressants, or anticonvulsants. Bivariate cross-sectional analysis revealed that patients with metabolic syndrome had higher rates of coronary artery disease, cerebrovascular disease, and mortality, and that metabolic syndrome was more often associated with emergency visits and psychiatric or medical hospitalizations. Demographics, socioeconomic status and medications are independent predictors of metabolic syndrome and should be considered in broader screening of risk factors in order to provide preventive interventions for metabolic syndrome.

Services Receipt Following Veteran Outpatients' Positive Screen for Homelessness

INTRODUCTION

The Veterans Health Administration seeks to reduce homelessness among Veterans by identifying, and providing prevention and supportive services to, patients with housing concerns. The objectives of this study were to assess the proportion of Veterans Health Administration patients who received homeless or social work services within 6 months of a positive screen for homelessness or risk in the Veterans Health Administration and the demographic and clinical characteristics that predicted services utilization.

METHODS

Data were from a cohort of 27,403 Veteran outpatients who screened positive for homelessness or risk between November 1, 2012 and January 31, 2013. During 2013, AORs were calculated using a mixed-effects logistic regression to estimate the likelihood of patients' receipt of VHA homeless or social work services based on demographic and clinical characteristics.

RESULTS

The majority of patients received services within 6 months post-screening; predictors of services utilization varied by gender. Among women, diagnosis of drug abuse and psychosis predicted receipt of services, being unmarried increased the odds of using services among those screening positive for homelessness, and a diagnosis of post-traumatic stress disorder increased the odds of receiving services for at-risk women. Among men, being younger, unmarried, not service-connected/Medicaid-eligible, and having a medical or behavioral health condition predicted receipt of services.

CONCLUSIONS

Receipt of housing support services among Veterans post-homelessness screening differs by patient demographic and clinical characteristics. Future research should investigate the role that primary and secondary prevention interventions play in Veterans' resolution of risk for homelessness and experience of homelessness.

Screening for Homelessness in the Veterans Health Administration: Monitoring Housing Stability through Repeat Screening

OBJECTIVE

This study examined veterans' responses to the Veterans Health Administration's (VHA's) universal screen for homelessness and risk of homelessness during the first 12 months of implementation.

METHODS

We calculated the baseline annual frequency of homelessness and risk of homelessness among all veterans who completed an initial screen during the study period. We measured changes in housing status among veterans who initially screened positive and then completed a follow-up screen, assessed factors associated with such changes, and identified distinct risk profiles of veterans who completed a follow-up screen.

RESULTS

More than 4 million veterans completed an initial screen; 1.8% (n=77,621) screened positive for homelessness or risk of homelessness. Of those who initially screened positive for either homelessness or risk of homelessness and who completed a second screen during the study period, 85.0% (n=15,060) resolved their housing instability prior to their second screen. Age, sex, race, VHA eligibility, and screening location were all associated with changes in housing stability. We identified four distinct risk profiles for veterans with ongoing housing instability.

CONCLUSION

To address homelessness among veterans, efforts should include increased and targeted engagement of veterans experiencing persistent housing instability.

Increased risk for substance use and health-related problems among homeless veterans

BACKGROUND AND OBJECTIVES

The first aim of this study was to compare self-reported causes of homelessness between veterans and nonveterans. A second aim examined whether homeless male veterans were more likely than homeless male nonveterans to experience current problems with addictions, mental health, and physical health. Additionally, a third aim was to compare frequency of emergency room visits and treatment needs between the two groups.

METHODS

Secondary data analyses compared male homeless veterans and nonveterans (N = 353) enrolled in the Alachua County Point in Time study in central Florida. Participants completed a questionnaire on demographics and health variables. Additional questions included recent emergency room visits and medical or other needs not being met.

RESULTS

Veterans reported higher rates of substance use and mental health problems as a primary cause of homelessness when compared to nonveterans. Homeless veterans were more likely than nonveterans to report current problems with addictions (OR = 6.29, 95% CI: 3.43-11.53, p < .001), mental health problems (OR = 4.12, 95% CI: 2.28-7.42, p < .001), and physical problems (OR = 1.83, 95% CI: 1.08-3.67, p < .01). Finally, over half of homeless veterans (53.1%) reported an ER visit in the past year compared to only 40.9% of nonveterans (OR = 1.73, 95% CI: 1.07-2.80, p < .05).

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

Veterans may be more likely to become homeless due to addiction and mental health and over half of homeless veterans are presenting to hospital emergency rooms. Given the greater utilization among homeless veterans, emergency rooms may serve as a prime opportunity to provide brief treatment and referrals for needed services.