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Although family caregivers are increasingly recognized for their essential role in helping vulnerable adults live in the community for as long as possible, their priorities and perspectives have not been well‐integrated into quality assessments of home‐ and community‐based services (HCBS). Our overall goal was to identify measurement gaps to guide monitoring and improve HCBS. Caregiver‐specific measurement priorities were identified during a multi‐level stakeholder engagement process that included 34 Veterans, 24 caregivers, and 39 facility leaders, clinicians, and staff across four VA healthcare systems. We mapped items from national quality measure sets for HCBS identified during an environmental scan onto the stakeholder‐identified measurement priorities. Only 5 of 11 non‐VA measure sets and three of four VA measure sets explicitly included caregiver‐specific items that were aligned with or relevant to stakeholders' measurement priorities. Six of 14 stakeholder‐identified priorities were not reflected in any measure sets, such as those that explicitly assess caregiver‐reported experience with services that directly or indirectly support their role as caregivers within HCBS. Although family caregivers fulfill a critical role in helping adults with complex medical needs live independently for as long as possible, their priorities and perspectives have not been well‐integrated into quality assessments of HCBS. Measures that acknowledge caregivers' roles and incorporate their priorities can help healthcare systems to better monitor and improve HCBS quality, thereby enabling Veterans to remain in the community as long as possible. [ABSTRACT FROM AUTHOR]

Military sexual assault (MSA) is a prevalent issue among military personnel that has been linked to adverse mental and physical health outcomes, including posttraumatic stress disorder (PTSD) and suicidal thoughts and behaviors. The present study sought to investigate the relationship between MSA and nonsuicidal self-injury (NSSI) in a national sample of Gulf War-I Era U.S. veterans. The study analyzed data from 1,153 Gulf War-I veterans collected through a cross-sectional survey that assessed demographic information, clinical outcomes, military background, and history of MSA and NSSI. MSA was found to be significantly associated with NSSI at the bivariate level (OR = 2.19, p <.001). Further, MSA remained significantly associated with NSSI (AOR = 2.50, p =.002) after controlling for relevant demographics and clinical outcomes. Veterans with a history of MSA were approximately two and half times more likely to engage in NSSI than veterans who had not experienced MSA. The present findings provide preliminary evidence linking MSA and NSSI. Further, the findings highlight the importance of assessing MSA and NSSI in veteran populations, particularly among those seeking treatment for PTSD. [ABSTRACT FROM AUTHOR]

Obstructive sleep apnea (OSA) among veterans is frequently underdiagnosed and undertreated. The present study sought to: 1) characterize the prevalence and rate of treatment of OSA among VA users and non-users and 2) examine the associations between diagnosed or probable OSA and key physical and mental health outcomes. Gulf-War I-era Veterans were recruited as part of a national survey assessing mental and physical health concerns, healthcare needs, and healthcare utilization. OSA diagnoses were self-reported while sleep apnea risk was assessed via the STOP-Bang. Veterans also completed questionnaires assessing overall health, pain, depression, PTSD, and psychosocial functioning. 1,153 veterans were included in the present analyses (Mean age = 58.81; 21.84% female). Compared to non-VA healthcare users, veterans receiving care at the VA were more likely to have been diagnosed with OSA (p <.001) and report receiving treatment for OSA (p =.005). Compared to veterans at low risk for OSA, veterans at elevated risk reported higher levels of pain (p =.001), depression (p =.02), and poorer psychosocial functioning (p <.001). OSA diagnoses appear to be more common among VA healthcare users. Findings suggest that OSA remains underdiagnosed and associated with important physical and mental health consequences. Additional screening for OSA, especially among non-VA clinics, is warranted. [ABSTRACT FROM AUTHOR]

Pain confers risk for suicidal thoughts and behaviors. Experiential avoidance (EA), which is relevant to both pain and suicide risk, has not been studied as a potential mechanism for this relationship. The present study tested the hypothesis that pain indirectly impacts suicide risk through EA in a national sample of Gulf War veterans. Participants included a stratified random sample of United States veterans (N = 1,012, 78% male) who had served in the Gulf War region between August 1990 and July 1991. Validated scales were used to quantify levels of pain, EA, and suicide risk. Regression analyses indicated independent associations between pain, EA, and suicide risk; moreover, the association between pain and suicide risk was no longer significant once EA was included in model. Bootstrapping analyses confirmed that EA partially accounted for the cross-sectional association between pain and suicide risk, independent of common co-occurring problems, such as depression, PTSD, and alcohol use disorder symptoms. EA could be a key modifiable risk factor to target in people experiencing pain. [ABSTRACT FROM AUTHOR]

Cannabis use has been indicated as a risk factor for suicide in veterans. This study of Gulf War veterans tested the relationship between self-report past year cannabis use and (a) past year suicidal ideation and (b) risk for suicidal behavior. Data were from a national sample (N = 1126) of Gulf War veterans. Logistic regression models indicated cannabis use was associated with past year suicidal ideation and elevated risk for suicidal behavior, independent of key covariates. In corroboration with research on other military populations, this study indicates a potentially concerning association between cannabis use and suicide risk in Gulf War veterans. [ABSTRACT FROM AUTHOR]

Abstract Background Relatively little is known regarding to what extent community-based primary care physicians are encountering post-deployment health care needs among veterans of the Afghanistan or Iraq conflicts and their family members. Methods This pilot study conducted a cross-sectional survey of 37 primary care physicians working at small urban and suburban clinics belonging to a practice-based research network in the south central region of Texas. Results Approximately 80% of the responding physicians reported caring for patients who have been deployed to the Afghanistan or Iraq war zones, or had a family member deployed. Although these physicians noted a variety of conditions related to physical trauma, mental illnesses and psychosocial disruptions such as marital, family, financial, and legal problems appeared to be even more prevalent among their previously deployed patients and were also noted among family members of deployed veterans. Conclusions Community-based primary care physicians should be aware of common post-deployment health conditions and the resources that are available to meet these needs.

Introduction: Between 2001 and 2009, opioid analgesic prescriptions in the Military Health System quadrupled to 3.8 million. The sheer quantity of opioid analgesics available sets the stage for issues related to misuse, abuse, and diversion. To address this issue, the Department of Defense implemented several directives and clinical guidelines to improve access to appropriate pain care and safe opioid prescribing. Unfortunately, little has been done to characterize changing patterns of opioid use in active duty service members (ADSM), so little is known about how combat operations and military health care policy may have influenced this significant problem. We examined changes in opioid use for ADSM between 2006 and 2014, compared trends with the civilian population, and explored the potential role of military-specific factors in changes in opioid use in the Military Health System.Materials and Methods: After obtaining Institutional Review Board approval, administrative prescription records (Pharmacy Data Transaction Records) for non-deployed ADSM were used to determine the number of opioid prescriptions dispensed each year and the proportion of ADSM who received at least one prescription per month between 2006 and 2014. Based on the observation and the literature, we identified December 2011 as the demarcation point (the optimal point to identify the downturn in opioid use) and used it to compare opioid use trends before and after. We used an autoregressive forecast model to verify changes in opioid use patterns before and after 2011. Several interrupted time series models examined whether military system-level factors were associated with changes in opioid use.Results: Between 2006 and 2014, 1,516,979 ADSM filled 7,119,945 opioid prescriptions, either in military treatment facilities or purchased through TRICARE. Both active duty and civilian populations showed signs of decreasing use after 2011, but this change was much more pronounced among ADSM. The forecast model showed a significant difference after 2011 between the projected and actual proportion of ADSM filling an opioid prescription, confirming 2011 as a point of divergence in opioid use. Interrupted time series models showed that the deflection point was associated with significant decreases. A significant increase of 0.261% in opioid prescriptions was seen for every 1,000 wounded in action service members in a given month. Troops returning from Operation Enduring Freedom, Operation Iraqi Freedom, or Operation New Dawn did not appear to influence the rates of use. Even after accounting for returning troops from Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn and wounded in action counts, the deflection point was associated with a lower proportion of ADSM who filled an opioid prescription, leading to a decrease of 1.61% by the end of the observation period (December 2014).Conclusion: After December 2011, opioid use patterns significantly decreased in both civilian and ADSM populations, but more so in the military population. Many factors, such as numbers of those wounded in action and the structural organization of the Military Health System, may have caused the decline, although more than likely the decrease was influenced by many factors inside and outside of the military, including policy directives and cultural changes. [ABSTRACT FROM AUTHOR]

Introduction MRI represents one of the clinical tools at the forefront of research efforts aimed at identifying diagnostic and prognostic biomarkers following traumatic brain injury (TBI). Both volumetric and diffusion MRI findings in mild TBI (mTBI) are mixed, making the findings difficult to interpret. As such, additional research is needed to continue to elucidate the relationship between the clinical features of mTBI and quantitative MRI measurements. Material and Methods Volumetric and diffusion imaging data in a sample of 976 veterans and service members from the Chronic Effects of Neurotrauma Consortium and now the Long-Term Impact of Military-Relevant Brain Injury Consortium observational study of the late effects of mTBI in combat with and without a history of mTBI were examined. A series of regression models with link functions appropriate for the model outcome were used to evaluate the relationships among imaging measures and clinical features of mTBI. Each model included acquisition site, participant sex, and age as covariates. Separate regression models were fit for each region of interest where said region was a predictor. Results After controlling for multiple comparisons, no significant main effect was noted for comparisons between veterans and service members with and without a history of mTBI. However, blast-related mTBI were associated with volumetric reductions of several subregions of the corpus callosum compared to non–blast-related mTBI. Several volumetric (i.e. hippocampal subfields, etc.) and diffusion (i.e. corona radiata, superior longitudinal fasciculus, etc.) MRI findings were noted to be associated with an increased number of repetitive mTBIs versus. Conclusions In deployment-related mTBI, significant findings in this cohort were only observed when considering mTBI sub-groups (blast mechanism and total number/dose). Simply comparing healthy controls and those with a positive mTBI history is likely an oversimplification that may lead to non-significant findings, even in consortium analyses. [ABSTRACT FROM AUTHOR]

Objective: To (1) characterize lifetime mild traumatic brain injury (TBI) exposures among male and female US military service members and Veterans (SMVs) and (2) evaluate sex-related differences in mild TBI exposures., Setting: Clinical research laboratory., Participants: Participants were enrolled in the ongoing Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) Prospective Longitudinal Study., Design: Cross-sectional., Main Measures: Lifetime history of mild TBI was measured via structured interview. All mild TBI characteristics were collected as part of this interview, including total lifetime number; environment (deployment vs. non-deployment); timing of injury (relative to military service and age); and mechanism of injury (blast-related vs. non-blast)., Results: Most participants (n = 2323; 87.5% male; 79.6% Veteran) reported ≥1 lifetime mild TBI (n = 1912; 82%), among whom, many reported ≥2 lifetime mild TBIs. Female SMVs reported fewer total lifetime mild TBIs than male participants (P < 0.001), including fewer deployment-related (P < 0.001) and non-deployment (P < 0.001) mild TBIs. There were significant sex differences for total number of mild TBIs sustained before (P = 0.005) and during (P < 0.001) military service but not after separation from military service (P = 0.99). Among participants with a lifetime history of mild TBI, female SMVs were less likely to report ≥2 mTBIs (P = 0.003); however, male SMVs were more likely to report a mild TBI during military service (P = 0.03), including combat-related mild TBI (P < 0.001) and mild TBI involving blast (P < 0.001)., Conclusions: These findings inform clinical and research efforts related to mild TBI in US military SMVs. It may not be sufficient to simply measure the total number of mild TBIs when seeking to compare clinical outcomes related to mild TBI between sexes; rather, it is important to measure and account for the timing, environment, and mechanisms associated with mild TBIs sustained by female and male SMVs., Competing Interests: Conflicts of Interest: Samuel R. Walton: Dr Walton reports separate funding support from the DoD & VA for projects related to the LIMBIC-CENC study; honorarium and conference travel support from the National Athletic Trainers’ Association and UCLA; serves in unpaid leadership roles with the World Federation of Athletic Training and Therapy (WFATT) and the Concussion in Sport Group (CISG); Jessie R. Oldham: Dr. Oldham receives support from the Thrasher Research Fund and National Institute of Arthritis and Musculoskeletal Skin Diseases (8K12AR084233-03); Benjamin L. Brett: Dr. Brett reports funding support from the NIA and NINDS, as well as honoraria and travel support as conference presentations; Elisabeth A. Wilde: Dr. Wilde receives grant funding support from the US Department of Veterans Affairs and the Department of Defense (related to this work and cited below) and from the National Institutes of Health (NINDS), and Vielight, Inc. (unrelated to this work); Rosemay A. Remigio-Baker:Dr. Remigio-Baker is a contractor from Compass Government Solutions that support the Traumatic Brain Injury Center of Excellence; Mary J. Pugh: Dr. Pugh reports separate funding support from the DoD & VA for projects not related to the LIMBIC-CENC study; Randel L. Swanson: Dr. Swanson reports separate funding support from the VA for a project related to the LIMBIC-CENC study and funding from the DoD and VA for projects not related to the LIMBIC-CENC study. Dr. Swanson was supported, in part, by the United States Department of Veterans Affairs Rehabilitation Research and Development Service under Award Number IK2 RX00365; Monique R. Pappadis: Receives grant funding support from the NIH/NIA (K01AG065492), NIMHD (L60MD009326L), and NIDILRR (90DPTB0025). Tara A. Austin, Olivia D. Cetin, Landon B. Lempke, Zhining Ou, Sreekanth Kamineni, Sarah L. Martindale, Maya E. O’Neil, David X. Cifu, and William C. Walker: declared no conflict of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: Evolution of multiple chronic conditions (MCC) follows a complex stochastic process, influenced by several factors including the inter-relationship of existing conditions, and patient-level risk factors. Nearly 20% of citizens aged 18 years and older are burdened with two or more (multiple) chronic conditions (MCC). Treatment for people living with MCC currently accounts for an estimated 66% of the Nation's healthcare costs. However, it is still not known precisely how MCC emerge and accumulate among individuals or in the general population. This study investigates major patterns of MCC transitions in a diverse population of patients and identifies the risk factors affecting the transition process., Methods: A Latent regression Markov clustering (LRMCL) algorithm is proposed to identify major transitions of four MCC that include hypertension (HTN), depression, Post- Traumatic Stress Disorder (PTSD), and back pain. A cohort of 601,805 individuals randomly selected from the population of Iraq and Afghanistan war Veterans (IAVs) who received VA care during three or more years between 2002-2015, is used for training the proposed LRMCL algorithm., Results: Two major clusters of MCC transition patterns with 78% and 22% probability of membership respectively were identified. The primary cluster demonstrated the possibility of improvement when the number of MCC is small and an increase in probability of MCC accumulation as the number of co- morbidities increased. The second cluster showed stability (no change) of MCC overtime as the major pattern. Age was the most significant risk factor associated with the most probable cluster for each IAV., Conclusions: These findings suggest that our proposed LRMCL algorithm can be used to describe and understand MCC transitions, which may ultimately allow healthcare systems to support optimal clinical decision- making. This method will be used to describe a broader range of MCC transitions in this and non-VA populations, and will add treatment information to see if models including treatments and MCC emergence can be used to support clinical decision-making in patient care., Competing Interests: Disclosure The authors report no conflicts of interest in this work., (Schattauer GmbH.)