Intimate Partner Violence Among Service Members and Veterans: Differences by Sex and Rurality.

Among military service members and veterans (SMVs), factors unique to military service may contribute to an elevated risk of experiencing intimate partner violence (IPV) victimization. Although rurality has been established as a risk factor for IPV, differences in IPV victimization by rural- urban dwelling location, SMV status, and sex have not been explored. The purpose of this study was to estimate the rate of IPV victimization in rural and urban areas in the United States by SMV status and sex. We obtained Behavioral Risk Factor Surveillance System data (BRFSS; n = 18,755); fit a mixed-effects, multilevel generalized linear model to the data for IPV victimization; and linked the model to U.S. Census Bureau population count data. We generated predicted estimates of IPV for SMVs and civilians separately by sex in rural and urban areas. The direct IPV victimization prevalence rate for the entire BRFSS sample was 16.90%. Substantial variation in model-based IPV prevalence was observed across subgroups. Female SMVs (rural = 23.54%, 95% confidence interval [CI] [17.33, 30.02]; urban = 23.34%, 95% CI [17.48, 30.17]) had higher IPV victimization rates than female civilians (rural = 14.55%, 95% CI [13.06, 16.37]; urban = 14.50%, 95% CI [13.19, 16.34]), whereas male civilians (rural = 8.06%, 95% CI [7.19, 9.08]; urban = 8.02%, 95% CI [7.27, 9.02]) had higher IPV victimization rates than male SMVs (rural = 7.21%, 95% CI [6.03, 8.47]; urban = 7.17%, 95% CI [6.00, 8.41]). Programming for preventing and assisting in recovering from IPV exposure should target rural-dwelling female SMVs.

Validity and Reliability of the Empowered Veteran Index-Short Form (EVI-SF).

PURPOSE: Veteran empowerment may include connection, community impact, and personal growth. At least one valid and reliable tool has been developed to measure the aforementioned framework: the empowered veteran index (EVI). However, there is a need for a shorter measure to prevent survey fatigue. MATERIALS AND METHODS: We recruited military veteran members of a nonprofit (n = 316), The Mission Continues, for participation in this cross-sectional online survey study. Participants completed the 35-item EVI. A short form of the EVI (EVI-SF) was developed through bifactor confirmatory factor analysis (CFA). RESULTS: The 10-item EVI-SF model demonstrated satisfactory performance (χ2 p = 0.68, SRMR = 0.02, RMSEA = 0.01, CFI = 0.99, TLI = 0.99). All factor loadings in this model were ≥ 0.30, providing evidence for the validity of the interval structure. Internal consistency reliability was good for all three subscales (omegas >0.7). DISCUSSION: Analysis of the EVI-SF showed that the instrument was valid and reliable. The EVI-SF contains 10 items with seven-point Likert scale response options. Use of the instrument may provide for the opportunity to measure empowerment of military veterans. CONCLUSION: This study provides preliminary psychometric validation of the EVI-SF.

Social Determinants Associated with Substance Use and Treatment Seeking in Females of Reproductive Age in the United States.

Introduction: Females of reproductive age (FoRA; 15-49 years) are the demographic most likely to be diagnosed with a substance use disorder. Preventative treatment prior to or during pregnancy is critical. Stigma and social inequities can delay access to care. There is limited research examining social determinants of health (SDoH) and how they are related to substance use and treatment seeking in this demographic. Methods: We analyzed the 2016-2019 data from the United States National Survey on Drug Use and Health using multivariable logistic regression models. Statistically significant variables were conceptually linked to the Office of Disease Prevention and Health Promotion's (ODPHP's) SDoH framework's five domains. Results: From a total sample of 1,477,336 (weighted) pregnant people and 39,600,523 (weighted) FoRA, substance use was reported by 879,209 (2.14% [95% confidence interval = 2.13-2.15]). Pregnancy status was not associated with substance use or treatment seeking. Past-month substance use was associated with high educational attainment, an annual income <$20,000, a history of criminality, low religiosity, and having health insurance. Past-month treatment-seeking behavior was associated with older age, an annual income >$20,000, a history of criminality, and greater religiosity. Behavioral health support seeking in the past month was associated with some college education. Higher depression severity was associated with all the three models. Conclusions: Using the ODPHP's SDoH framework, we begin to elicit critical connections that can describe substance use and treatment-seeking practices in FoRA. We encourage additional research to inform public health, health care, behavioral health, and other support service programming.

Perspectives on a good death: A comparative study of veterans and civilians.

This study aimed to identify any differences between veterans and non-veterans in the importance of domains of the Good Death Inventory. Participants were recruited from Amazon Mechanical Turk to complete a Qualtrics survey on the importance of the 18 domains of the Good Death Inventory scale. Logistic regression models were then used to analyze any differences between veterans (n = 241) and nonveterans (n = 1151). Results showed that veterans (mostly aged 31-50, men, and White) were more likely to indicate that pursuing all treatment possible and maintaining their pride were important aspects of a good death. The results support other studies that have found military culture to be a significant factor in the way veterans view preferences at the end of life. Interventions may include increasing access to palliative care and hospice services for military members and veterans and providing education/training on end-of-life care for healthcare providers who work with this population.

A machine learning model for the prediction of unhealthy alcohol use among women of childbearing age in Alabama.

INTRODUCTION: This study utilizes a machine learning model to predict unhealthy alcohol use treatment levels among women of childbearing age. METHODS: In this cross-sectional study, women of childbearing age (n = 2397) were screened for alcohol use over a 2-year period as part of the AL-SBIRT (screening, brief intervention, and referral to treatment in Alabama) program in three healthcare settings across Alabama for unhealthy alcohol use severity and depression. A support vector machine learning model was estimated to predict unhealthy alcohol use scores based on depression score and age. RESULTS: The machine learning model was effective in predicting no intervention among patients with lower Patient Health Questionnaire (PHQ)-2 scores of any age, but a brief intervention among younger patients (aged 18-27 years) with PHQ-2 scores >3 and a referral to treatment for unhealthy alcohol use among older patients (between the ages of 25 and 50) with PHQ-2 scores >4. CONCLUSIONS: The machine learning model can be an effective tool in predicting unhealthy alcohol use treatment levels and approaches.

Addressing Gaps and Saving Lives: Doulas' Role in Addressing Substance Use and Mental Health Challenges Among Pregnant and Postpartum Clients-A Scoping Review.

OBJECTIVES: Doulas are a potential resource for addressing substance use and mental health challenges that pregnant and postpartum individuals experience. We sought to review peer-reviewed literature that examines Doulas' role in addressing these challenges to highlight the need for more research in this area. METHODS: We conducted a scoping review (2001-2021) to identify articles that examine the way in which Doulas address maternal substance use and mental health challenges in their clients. The articles were reviewed by two members of the research team. RESULTS: Nine articles describing Doulas' role in addressing substance use and mental health challenges were identified. Six described Doulas' role in addressing mental health, five of which saw positive mental health outcomes due to Doula involvement. One additional article recommended Doulas be considered in the future to address mental health challenges. While the minority of articles addressed substance use (n = 2), it was reported that Doulas were a positive addition to interdisciplinary teams addressing substance use challenges with pregnant individuals. CONCLUSIONS: While the literature showed that Doulas can improve substance use and mental health outcomes among pregnant or postpartum individuals, a significant gap remains in research, practice, and peer-reviewed literature addressing this issue.

Is Subjective Cognitive Decline Associated with Behavioral Health Outcomes Among Mothers?

OBJECTIVES: Studies suggests that pregnancy can alter the maternal neurological function of the brain (i.e., result in cognitive decline) in a way that remains prevalent well into middle and older adulthood. However, little research has explored these changes and how they might affect behavioral health outcomes, such as substance use and depression. METHODS: We merged data from the 2016, 2017, and 2018 Behavioral Risk Factor Surveillance System (BRFSS) surveys, with a final analytic sample of 1330 female participants (649 participants were mothers). Chi-square tests or t-tests were used to examine differences in demographic and health characteristics of the sample by subjective cognitive decline (SCD) status. To test the study hypotheses, three generalized linear mixed models were estimated with a logit link. RESULTS: SCD was not associated with alcohol misuse among mothers (aOR = 0.27, p = 0.23). Mothers with SCD were more likely to smoke (aOR = 3.33, p = 0.01) and experience mental distress (aOR = 6.59, p < 0.001) than those without SCD. CONCLUSION: Interventions aimed at supporting mothers should consider how existing mental health and tobacco cessation programs can be adapted to better serve this population and should aim to identify those that may have early signs of early signs of neurodegenerative conditions.

A Geospatial Analysis of Social and Structural Determinants of Health and High HIV Prevalence in Alabama, USA.

OBJECTIVE: This study utilizes geospatial analytic techniques to examine HIV hotspots in Alabama leveraging Medicaid utilization data. METHODS: This cross-sectional study leveraged Medicaid utilization data from Alabama's 67 counties, averaging 9,861 Medicaid recipients aged > 18 years old per county. We used Alabama Medicaid administrative claims data from January 1, 2016, to December 31, 2020, to identify individuals with HIV. Using Microsoft SQL Server, we obtained the average annual count of HIV Medicaid claims in each of the 67 Alabama counties (numerator) and the number of adult Medicaid recipients in each county (denominator), and standardized with a multiplier of 100,000. We also examined several other area-level summary variables (e.g., non-high school completion, income greater than four times the federal poverty level, social associations, urbanicity/rurality) as social and structural determinants of health. County-boundary choropleth maps were created representing the geographic distribution of HIV rates per 100,000 adult Medicaid recipients in Alabama. Leveraging ESRI ArcGIS and local indicators of spatial association (LISA), results were examined using local Moran's I to identify geographic hotspots. RESULTS: Eleven counties had HIV rates higher than 100 per 100,000. Three were hotspots. Being an HIV hotspot was significantly associated with relatively low educational attainment and less severe poverty than other areas in the state. CONCLUSIONS: Findings suggesting that the HIV clusters in Alabama were categorized by significantly less severe poverty and lower educational attainment can aid ongoing efforts to strategically target resources and end the HIV epidemic in U.S.' Deep South.

Survey of barriers and opportunities for prescribing buprenorphine for opioid use disorder in Alabama.

Opioid-related overdose deaths have significantly increased in the USA and in Alabama. Despite this, medications for opioid use disorder (MOUD) remains significantly underutilized. Thus, this study aims to gain a better understanding of clinicians' viewpoints on potential barriers and opportunities that are likely to impact and improve the access to MOUD, especially buprenorphine prescribing. A cross-sectional survey study was conducted with Alabama's clinicians (n = 492). The survey containing a QR code was mailed to clinicians throughout the state and was asked about their viewpoints and thoughts on prescribing buprenorphine. Multivariable linear regression was used to examine associations between OUD self-efficacy, beliefs about the effectiveness of MOUD, attitudes regarding whether or not MOUD is addictive, and positive affect surrounding the treatment of OUD patients. A minority of respondents (39.8%) reported that they have an active X-waiver for MOUD. Results showed that beliefs that MOUD is addictive were significantly inversely correlated with beliefs about MOUD being effective. Furthermore, both self-efficacy and positive affect were significantly and positively associated with beliefs that MOUD is effective. Furthermore, nurse practitioners were more likely than physicians to have higher scores on the "MAT is Addictive" construct. Self-efficacy with OUD patients was positively associated with the "MOUD is Effective" construct. Finally, results showed that X-waivered providers expressed greater positive affect toward OUD patients than providers who were not X-waivered (b = 2.9, p < 0.001). Belief that MOUD is effective was also positively associated with higher scores on the positive affect construct (b = 0.5, p < 0.001). Several barriers and opportunities were identified in our survey data which could be used to explore MOUD expansion, especially buprenorphine prescribing. Strategic plans in expanding MOUD access may include educational trainings on MOUD, motivating clinicians to utilize their capacity by implementing incentive plans, increasing provider self-efficacy, reducing stigma around MOUD, and providing more financial support to uninsured patients.

Opioid Use Disorder Among the Economically Disadvantaged in the Rural South.

OBJECTIVE: This study aimed to identify county-level hotspots and associated risk factors for opioid use disorder (OUD) in the state of Alabama. METHODS: Using 2015 to 2019 Alabama Medicaid administrative claims data, Medicaid recipients with OUD were identified. We performed local indicators of spatial association analysis to identify hotspots of OUD rates. Using logistic regression, we examined county-level social determinants of health associated with county OUD hotspots. RESULTS: There was a +14.13% percentage change from 2015 to 2019. The county level local indicators of spatial association analysis found that 5 counties in the northwestern part of Alabama remained "hotspots" throughout the entire study period. Results of the logistic regression model showed that location within the Appalachian region was an independent predictor of high OUD rates ( b = 2.58; adjusted odds ratio, 13.27, P = 0.04). CONCLUSIONS: The high rates of OUD may reflect the economic distress and lack of access to resources germane to the Appalachian region in Alabama.

Chronic disease multimorbidity and substance use among African American men: veteran-non-veteran differences.

OBJECTIVES: The purpose of the study was to explore the extent to which prior military service may moderate the relationship between chronic disease multimorbidity and substance use among African American men in the United States. DESIGN: Data for this cross-sectional study was downloaded from the 2016 -2019 United States (US) National Survey on Drug Use and Health. We estimated three survey-weighted multivariable logistic regression models, where use of each of the following substances served as the dependent variables: illicit drugs, opioids, and tobacco. Differences in these outcomes were examined along two primary independent variables: veteran status and multimorbidity (and an interaction term for these variables). We also controlled for the following covariates: age, education, income, rurality, criminal behavior, and religiosity. RESULTS: From the 37,203,237 (weighted N) African American men in the sample, approximately 17% reported prior military service. Veterans with ≥ 2 chronic diseases had higher rates of illicit drug use (aOR = 1.37, 95% CI = 1.01, 1.87; 32% vs. 28%) than non-veterans with ≥ 2 chronic diseases. Non-veterans with one chronic disease had higher rates of tobacco use (aOR = 0.80, 95% CI = 0.69, 0.93; 29% vs. 26%) and opioid misuse (aOR = 0.49, 95% CI = 0.36, 0.67; 29% vs. 18%) than veterans with one chronic disease. DISCUSSION: Chronic disease multi-morbidity appears to be a context in which African American veterans may be at greater risk for certain undesirable health behaviors than African American non-veterans and at lower risk for others. This may be due to exposure to trauma, difficulty accessing care, socio-environmental factors, and co-occurring mental health conditions. These complex interactions may contribute to higher rates of SUDs among African American veterans compared to African American non-veterans.

"I am busy enough ": Navigating challenges experienced by Medicaid providers serving pregnant people living with substance use disorders in Alabama.

PURPOSE: Perinatal substance use is a clinical and public health concern. The purpose of the study was to understand the perspectives and experiences of perinatal healthcare providers serving pregnant people who receive Medicaid and are living with a substance use disorder. DESIGN AND METHODS: We conducted a secondary data analysis of the responses from perinatal healthcare providers who completed a survey to assess the state of Alabama's capability to effectively identify and treat individuals with substance use disorder. We analyzed short answer responses using consensus coding. FINDINGS: Nine-hundred and ninety-five Medicaid providers completed the survey, 36 of the respondents identified that they were employed in an obstetric practice. Health insurance limitations, a lack of time and resources, and limited treatment options were the primary barriers indicated in the participants' responses. CONCLUSIONS: Structural and health system barriers negatively impact the capacity of perinatal healthcare providers in Alabama to serve pregnant people who receive Medicaid and are living with a substance use disorder. CLINICAL RELEVANCE: Perinatal healthcare providers need educational opportunities, training, and up-to-date resources to provide supportive, comprehensive care programming for perinatal populations with substance use disorders.

Medication-assisted treatment and self-help group participation among military veterans with opioid or alcohol use disorder.

INTRODUCTION: Medication-assisted treatment (MAT) is a combination of behavioural therapy and medications to assist with recovery and has been administered to individuals with alcohol and opioid withdrawal symptoms. Military veterans seeking MAT could have barriers preventing them from receiving the care they desire. The present study sought to compare outcomes in individuals who received MAT or those who participated in self-help groups for opioid or alcohol use disorder. In addition, the present study sought to compare outcomes between veterans and non-military-connected individuals. METHODS: We used the 2015-2017 United States Treatment Episode Data Set Discharges data from the Substance Abuse and Mental Health Services Administration. The data set included 138 594 unique discharges. A multinomial logistic regression model was used to examine differences in substance use outcomes for veterans/non-veterans in MAT and a self-help group. RESULTS: Fewer veterans (2.58%) than non-veterans (4.28%) reported usage of MAT. Fewer veterans (38.94%) than non-veterans (40.17%) reported signing up for a self-help group. Finally, those who participated in MAT and a self-help group had a better outcome (66.64%)-defined as no substance use at discharge-than those who only received MAT (43.02%) and those who did not participate in MAT or self-help groups (34.84%). CONCLUSIONS: Recommendations for future research on MAT and implementation for the veteran population would benefit the literature base.

The Good Death Among Black, Indigenous, and/or People of Color: Which Aspects of a Good Death Are Most Important?

A good death is one where a patient's preferences and wishes are fully respected. The purpose of this study was to determine which aspects of a good death are most important to Black/Indigenous, and/or people of color (BIPOC). Participants were recruited from Amazon Mechanical Turk, and then directed to complete a quantitative survey indicating the importance of each item on the Good Death Inventory. A logistic regression model was used to identify any differences in the importance of each item based on the racial background of the respondent. After accounting for other independent variables, the results showed that BIPOC were more likely to indicate that factors such as life completion, receiving all treatment possible, and religious/spiritual support were important aspects of a good death. Results indicate the need for culturally tailored tools that account for cultural differences in what constitutes a good death.

Cigarette Use among Parents with Children in the Home: A Comparison of Civilian Parents and Parents with a Military Connection.

We tested the null hypothesis of equal likelihood of cigarette use among parents with a military connection and parents without a military connection, and independently compared risk factors for cigarette use. We obtained National Health Interview Survey (NHIS) data from 2015 to 2019 survey waves. We delimited analysis to 2-parent households who reported children aged <18 years living with them. After a 2:1 nonparametric age matching procedure, our sample included 1106 civilian parents and 553 parents with a military connection. Using the NHIS survey-design weights, we estimated a design-based F statistic for differences in cigarette use by military connection status. We also estimated population-stratified, survey-weighted multivariable logistic regression models to determine risk factors for parent cigarette use. Whereas 6.87% parents with a military connection used cigarettes, 16.64% of age-matched civilian parents reported cigarette use. This difference was significant even after adjustment for covariates (aOR = 0.49, 95% CI = 0.32, 0.74). Recommendations for programing and policy are provided.

Psychological Resilience and Cognitive Function Among Older Military Veterans.

The purpose of this study was to explore the association between psychological resilience and cognitive function in military veterans. We obtained public-use data from the Health and Retirement Study (HRS) for this cross-sectional study of military veterans aged 52 to 101 years (n = 150). We estimated a multivariable linear regression model in which cognitive function served as the dependent variable and psychological resilience served as the independent variable. After controlling for demographics, health conditions, and health behaviors, veterans who had higher psychological resilience scores had better cognitive function (b = 0.22, p = 0.03). Our findings suggest that psychological resilience may be associated with cognitive function among veterans. These findings highlight the importance of assessing psychological resilience in gerontological social work practice.

Behavioural health outcomes in veterans compared to nonveterans by rural and urban areas in Alabama, 2015-2018.

In the United States, tobacco use, alcohol consumption and substance use disorders are more prevalent among veterans when compared to nonveterans. This is also seen in Alabama, which led the researchers to review county level data to examine possible links between substance use, mental health and suicide by veteran status. This study sought to evaluate behavioural health outcomes and impacting factors for military veterans and nonveterans living in rural and urban areas of Alabama. In phase one, we developed Alabama-specific behavioural health outcomes at the state and county level for military veterans and nonveterans. In phase two, we examined county-level correlates of behavioural health outcomes among veterans and nonveterans. The data were retrieved from the 2015-2018 National Surveys on Drug Use and Health (NSDUH) and the United States Census Bureau. Regarding tobacco use rates at the county level, nonveteran rates ranged from 23.93% to 34.56% while veteran rates ranged from 24.47% to 38.56%. Nonveteran illicit drug use rates ranged from 9.40% to 13.15% while veteran illicit drug use rates ranged from 5.50% to 10.67%. Nonveteran heavy alcohol use rates ranged from 4.54% to 7.92% while veteran heavy alcohol use rates ranged from 4.59% to 8.41%. Lastly, nonveteran suicidal ideation rates ranged from 3.64% to 4.60% while veteran suicidal ideation rates ranged from 3.16% to 4.51%. Veterans have a significantly higher potential of having suicidal ideations. We showed that illicit drug use and suicidal ideation have increased in Alabama among veterans and nonveterans. Behavioural health programmes and policies aimed at eliminating disparities between veterans and nonveterans are needed in Alabama.

Effectiveness of remote interventions in improving caregiver stress outcomes for caregivers of people with traumatic brain injury.

OBJECTIVE: Caregiver stress is the term used to define the adverse effects of caregiving, and its prevalence among caregivers of people with traumatic brain injury (TBI) is amplified by the suddenness of brain injury. This systematic review aimed to identify whether remote interventions can be helpful in minimizing those financial, emotional, and physical stressors associated with caring for a person with TBI. METHOD: Studies were located by searching the following databases: PsycINFO, PubMed, Science Direct, Web of Science, Academic Search Premier, CINAHL, Medline, and Cochrane Central Register of Controlled Trials. Studies were included if they met the following criteria: (a) The study must be published in English, (b) The study must be published in a peer-reviewed journal, (c) The study must implement a remote intervention specific to caregivers of people with TBI, and (d) One or more symptoms of caregiver stress must be measured as an outcome. RESULTS: After the review process, 12 articles met the inclusion criteria for the study. Most of the studies were randomized controlled trials, used an online problem-solving module, and targeted parents of children/adolescents with a TBI. Ten out of the 12 studies (83.3%) found that remote/online interventions improved caregiver stress outcomes and only two studies did not find improvement in caregiver stress outcomes. CONCLUSION: Results from this systematic review indicate that online interventions can be as effective as in-person interventions in reducing the symptoms of caregiver stress for caregivers of people with TBI. Implications for practice, research, and policy are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

False negative AUDIT screening results among patients in rural primary care settings.

Purpose: The objective of this study was to examine the incidence of false-negative screening results on a tool measuring alcohol use - the United States Alcohol Use Disorder Identification Test Consumption (US-AUDIT-C).Method: A sample of patients (n = 4,023) in Alabama completed the US-AUDIT-C prior to a medical visit as part of a screening, brief intervention, and referral to treatment (AL-SBIRT) program. We calculated the incidence of false negative US-AUDIT-C screens based on recommendations for safe alcohol consumption.Results: The false negative screening rate on the US-AUDIT-C was 1%. The false negative screening rate for (a) males aged > 65 years in the AL-SBIRT program was 0.64%, (b) males aged 18-65 years was 2.79%, and (c) all females was 2.29%.Discussion & Conclusions: Increasing alcohol-consumption-related health education and reducing the stigma of discussing alcohol consumption habits is an important step toward improving patient health. Clinicians can more accurately screen and provide brief intervention services for alcohol misuse by training on US-AUDIT-C response patterns.