Military sexual trauma-related posttraumatic stress disorder service-connection: Characteristics of claimants and award denial across gender, race, and compared to combat trauma.

The current study characterizes a cohort of veteran claims filed with the Veterans Benefits Administration for posttraumatic stress disorder secondary to experiencing military sexual trauma, compares posttraumatic stress disorder service-connection award denial for military sexual trauma-related claims versus combat-related claims, and examines military sexual trauma -related award denial across gender and race. We conducted analyses on a retrospective national cohort of veteran claims submitted and rated between October 2017-May 2022, including 102,409 combat-related claims and 31,803 military sexual trauma-related claims. Descriptive statistics were calculated, logistic regressions assessed denial of service-connection across stressor type and demographics, and odds ratios were calculated as effect sizes. Military sexual trauma-related claims were submitted primarily by White women Army veterans, and had higher odds of being denied than combat claims (27.6% vs 18.2%). When controlling for age, race, and gender, men veterans had a 1.78 times higher odds of having military sexual trauma-related claims denied compared to women veterans (36.6% vs. 25.4%), and Black veterans had a 1.39 times higher odds of having military sexual trauma-related claims denied compared to White veterans (32.4% vs. 25.3%). Three-fourths of military sexual trauma-related claims were awarded in this cohort. However, there were disparities in awarding of claims for men and Black veterans, which suggest the possibility of systemic barriers for veterans from underserved backgrounds and/or veterans who may underreport military sexual trauma.

Understanding Veterans' intimate partner violence use and patterns of healthcare utilization.

OBJECTIVE: To understand the association between Veterans' healthcare utilization and intimate partner violence (IPV) use (i.e., perpetration) in order to (1) identify conditions comorbid with IPV use and (2) inform clinical settings to target for IPV use screening, intervention, and provider training. DATA SOURCES AND STUDY SETTING: We examined survey data from a national sample of 834 Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn (OEF/OIF/OND) Veterans. STUDY DESIGN: We assessed associations between past-year IPV use and medical treatment, health issues, and use of Veterans Health Administration (VA) and non-VA services using chi-square tests and logistic regression. DATA COLLECTION/EXTRACTION METHODS: Data were derived from the Department of Defense OEF/OIF/OND Roster. Surveys were sent to all women Veterans and a random sample of men from participating study sites. PRINCIPAL FINDINGS: Half (49%) of the Veterans who reported utilizing VA healthcare in the past year indicated using IPV. Q values using a 5% false discovery rate indicated that Veterans who used IPV were more likely than Veterans who did not use IPV to have received treatment for post-traumatic stress disorder (PTSD; 39% vs. 27%), chronic sleep problems (36% vs. 26%), anxiety or depression (44% vs. 36%), severe chronic pain (31% vs. 22%), and stomach or digestive disorders (24% vs. 16%). Veterans who used IPV were also more likely than Veterans who did not use IPV to have received medical treatment in the past year (86% vs. 80%), seen psychiatrists outside VA (39% vs. 20%), and have outpatient healthcare outside VA (49% vs. 41%). IPV use was not related to whether Veterans received care from VA or non-VA providers. CONCLUSIONS: Veterans' IPV use was related to greater utilization of services for mental health, chronic pain, and digestive issues. Future research should examine whether these are risk factors or consequences of IPV use.

Association between early nonpharmacological management and follow-up for low back pain in the veterans health administration.

Background: Low back pain (LBP) is a common reason individuals seek healthcare. Nonpharmacologic management (NPM) is often recommended as a primary intervention, and earlier use of NPM for LBP shows positive clinical outcomes. Our purpose was to evaluate how timing of engagement in NPM for LBP affects downstream LBP visits during the first year. Methods: This study was a secondary analysis of an observational cohort study of national electronic health record data. Patients entering the Musculoskeletal Diagnosis/Complementary and Integrative Health Cohort with LBP from October 1, 2016 to September 30, 2017 were included. Exclusive patient groups were defined by engagement in NPM within 30 days of entry ("very early NPM"), between 31 and 90 days ("early NPM"), or not within the first 90 days ("no NPM"). The outcome was time, in days, to the final LBP follow-up after 90 days and within the first year. Cox proportional hazards regression was used to model time to final follow up, controlling for additional demographic and clinical covariables. Results: The study population included 44,175 patients, with 16.7% engaging in very early NPM and 13.1% in early NPM. Patients with very early NPM (5.2 visits, SD=4.5) or early NPM (5.7 visits, SD=4.6) had a higher mean number of LBP visits within the first year than those not receiving NPM in the first 90 days (3.2 visits, SD = 2.5). The very early NPM (HR=1.50, 95% CI: 1.46-1.54; median=48 days, IQR=97) and early NPM (HR=1.27, 95% CI: 1.23-1.30; median=88 days, IQR=92) had a significantly shorter time to final follow-up than the no NPM group (median=109 days, IQR=150). Conclusions: Veterans Health Administration patients receiving NPM for LBP within the first 90 days after initially seeking care demonstrate a significantly faster time to final follow-up visit within the first year compared to those who do not.

Dissemination and implementation of age-friendly care and geriatric emergency department accreditation at Veterans Affairs hospitals.

OBJECTIVES: In 2018, the U.S. Department of Veterans Affairs (VA) National Office of Geriatrics and Extended Care (GEC) and the National Emergency Medicine (EM) Program partnered to improve emergency care for older Veterans. A core team disseminated age-friendly models of care via education and standardization of practice with the goal of multisite geriatric emergency department (GED) accreditation. We compare rates of GED screening at VAs with GED implementation to those without. METHODS: Observational evaluation of GED screening of older Veterans (≥65 years) at VA Emergency Departments (ED) from January 2018 to March 2022, during peak pandemic years. Data were extracted from the VA Corporate Data Warehouse of Veteran ED visit encounters to track documented GED screens and Veteran demographic data. Generalized estimating equation models were used to compare screening completion across different levels of GED accreditation, adjusting for potential confounding. RESULTS: During this period, over 1.07 million Veterans ≥ 65 years of age made 4.07 million VA ED visits. Mean (±SD) age was 73.4 (±7.2) years, 96.5% were male, 68% were White, and 89.9% made their index ED visit at a non-GED VA ED. As of early 2022, a total of 50 of 111 VA EDs have achieved or applied for GED accreditation. During early 2022, 8.3% of all visits by older Veterans had at least one GED screen documented; 15% were screened at Levels 1-3 GED versus 2.2% at non-GED facilities. Screens identifying older adults at risk for poor outcomes, for delirium, and for falls had the highest usage rates within VA GEDs. Veterans seen at Level 1 GEDs had a 76-fold greater odds of having a GED screen than at Level 3 GEDs (odds ratio 75.8, 95% confidence interval 72.8-79.0). CONCLUSIONS: Through VA National Office of GEC and EM Program partnership, the VA has created, standardized, and disseminated a GED Model of Care, despite the pandemic. GED accreditation was associated with GED screen implementation, with Level 1 having the highest screening prevalence.

Improving Care Coordination Between Veterans Health Administration Primary Care Teams and Community Home Health Aide Providers: A Qualitative Study.

Effective coordination between medical and long-term services is essential to high-quality primary care for older adults, but can be challenging. Our study assessed coordination and communication through semi-structured interviews with Veterans Health Administration (VHA) primary care clinicians (n = 9); VHA-contracted home health agencies (n = 6); and home health aides (n = 8) caring for veterans at an urban VHA medical center. Participants reported (1) establishing home health services is complex, requiring collaboration between many individuals and systems; (2) communication between medical teams and agencies is often reactive; (3) formal communication channels between medical teams and agencies are lacking; (4) aides are an important source of patient information; and (5) aides report important information, but rarely receive it. Removing structural communication barriers; incentivizing reporting channels and information sharing between aides, agencies, and primary care teams; and integrating aides into interdisciplinary teams may improve coordination of medical and long-term care.

Testing and treatment for latent tuberculosis infection in people living with HIV and substance dependence: a prospective cohort study.

OBJECTIVE: To quantify the proportion of people living with HIV (PLWH) with other tuberculosis (TB) risk factors that completed the latent tuberculosis infection (LTBI) care cascade and describe factors associated with attrition. The care cascade was defined as follows: (1) receipt of an LTBI test and result, (2) initiation of LTBI treatment and (3) completion of LTBI treatment. DESIGN: Prospective cohort study. SETTING: Reactivation of LTBI remains a large source of active TB disease in the USA. PLWH and those who use substances are at greater risk and are harder to engage and retain in care. PARTICIPANTS: Participants enrolled in a Boston cohort of PLWH from 2012 to 2014. PRIMARY AND SECONDARY OUTCOME MEASURES: Our primary outcome was the number and proportion of participants who completed each stage of the cascade and the factors associated with completing each stage. Our secondary outcomes were differences between participants tested with an interferon gamma release assay (IGRA) versus tuberculin skin test and differences between participants who tested positive versus negative for LTBI. RESULTS: Only 189 of 219 (86.3%) participants completed testing. Five of the 11 with LTBI initiated and three completed treatment. Participants tested with an IGRA were more likely to complete testing (OR 3.87, 95% CI 1.05 to 14.30) while among participants successfully tested, being foreign-born was associated with a positive test result (OR 3.95; 95% CI 1.13 to 13.77). CONCLUSIONS: Although the majority completed LTBI testing, our findings warrant further investigation in a larger cohort to better understand factors that lead to suboptimal treatment initiation and completion in a low-burden country.

Home Health Aides' Increased Role in Supporting Older Veterans and Primary Healthcare Teams During COVID-19: a Qualitative Analysis.

BACKGROUND: Home health aides are important but often overlooked members of care teams, providing functional and emotional support to patients. These services became increasingly important during the COVID-19 pandemic as older adults faced disruptions in in-person medical services and family caregiving. Understanding how aides supported healthcare teams is important for informing emergency planning and better integrating home health services with primary care. OBJECTIVE: To describe aides' roles in supporting veterans and working with primary care teams during COVID-19 and identify COVID-related changes in tasks. DESIGN: Semi-structured interviews. PARTICIPANTS: Eight home health aides, 6 home health agency administrators, and 9 primary care team members (3 RNs, 3 social workers, 3 MDs) serving veterans at a large, urban, Veterans Affairs medical center. APPROACH: Combined deductive and inductive analysis to identify a priori concepts (aide roles; changes in tasks and new tasks during COVID-19) and emergent ideas. Aide, administrator, and provider interviews were analyzed separately and compared and contrasted to highlight emergent themes and divergent perspectives. KEY RESULTS: Participants reported an increase in the volume and intensity of tasks that aides performed during the pandemic, as well as the shifting of some tasks from the medical care team and family caregivers to the aide. Four main themes emerged around aides' roles in the care team during COVID-19: (1) aides as physically present "boots on the ground" during medical and caregiving disruptions, (2) aides as care coordination support, (3) aides as mental health support, and (4) intensification of aides' work. CONCLUSIONS: Home health aides played a central role in coordinating care during the COVID-19 pandemic, providing hands-on functional, medical, and emotional support. Integrating aides more formally into healthcare teams and expanding their scope of practice in times of crisis and beyond may improve care coordination for older veterans.

Analgesic prescribing trends in a national sample of older veterans with osteoarthritis: 2012-2017.

Few investigations examine patterns of opioid and nonopioid analgesic prescribing and concurrent pain intensity ratings before and after institution of safer prescribing programs such as the October 2013 Veterans Health Administration system-wide Opioid Safety Initiative (OSI) implementation. We conducted a quasi-experimental pre-post observational study of all older U.S. veterans (≥50 years old) with osteoarthritis of the knee or hip. All associated outpatient analgesic prescriptions and outpatient pain intensity ratings from January 1, 2012 to December 31, 2016, were analyzed with segmented regression of interrupted time series. Standardized monthly rates for each analgesic class (total, opioid, nonsteroidal anti-inflammatory drug, acetaminophen, and other study analgesics) were analyzed with segmented negative binomial regression models with overall slope, step, and slope change. Similarly, segmented linear regression was used to analyze pain intensity ratings and percentage of those reporting pain. All models were additionally adjusted for age, sex, and race. Before OSI implementation, total analgesic prescriptions showed a steady rise, abruptly decreasing to a flat trajectory after OSI implementation. This trend was primarily due to a decrease in opioid prescribing after OSI. Total prescribing after OSI implementation was partially compensated by continuing increased prescribing of other study analgesics as well as a significant rise in acetaminophen prescriptions (post-OSI). No changes in nonsteroidal anti-inflammatory drug prescribing were seen. A small rise in the percentage of those reporting pain but not mean pain intensity ratings continued over the study period with no changes associated with OSI. Changes in analgesic prescribing trends were not paralleled by changes in reported pain intensity for older veterans with osteoarthritis.

Measuring patient-perceived quality of care in US hospitals using Twitter.

BACKGROUND: Patients routinely use Twitter to share feedback about their experience receiving healthcare. Identifying and analysing the content of posts sent to hospitals may provide a novel real-time measure of quality, supplementing traditional, survey-based approaches. OBJECTIVE: To assess the use of Twitter as a supplemental data stream for measuring patient-perceived quality of care in US hospitals and compare patient sentiments about hospitals with established quality measures. DESIGN: 404 065 tweets directed to 2349 US hospitals over a 1-year period were classified as having to do with patient experience using a machine learning approach. Sentiment was calculated for these tweets using natural language processing. 11 602 tweets were manually categorised into patient experience topics. Finally, hospitals with ≥50 patient experience tweets were surveyed to understand how they use Twitter to interact with patients. KEY RESULTS: Roughly half of the hospitals in the US have a presence on Twitter. Of the tweets directed toward these hospitals, 34 725 (9.4%) were related to patient experience and covered diverse topics. Analyses limited to hospitals with ≥50 patient experience tweets revealed that they were more active on Twitter, more likely to be below the national median of Medicare patients (p<0.001) and above the national median for nurse/patient ratio (p=0.006), and to be a non-profit hospital (p<0.001). After adjusting for hospital characteristics, we found that Twitter sentiment was not associated with Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) ratings (but having a Twitter account was), although there was a weak association with 30-day hospital readmission rates (p=0.003). CONCLUSIONS: Tweets describing patient experiences in hospitals cover a wide range of patient care aspects and can be identified using automated approaches. These tweets represent a potentially untapped indicator of quality and may be valuable to patients, researchers, policy makers and hospital administrators.