The association of pain screening and pain level with suicide among US veterans with comorbid musculoskeletal and bipolar disorder diagnoses.

BACKGROUND: High suicide rates are documented among persons with bipolar disorder diagnoses and pain diagnoses, but few studies have examined the association of pain with suicide mortality in individuals with comorbid pain and bipolar disorders. This study assessed the association of pain screening and pain severity with suicide mortality among veterans with comorbid bipolar and musculoskeletal disorder (MSD) diagnoses. METHODS: A retrospective cohort study was conducted on 168,021 patients within the Veterans Health Administration (VHA) who received an MSD diagnosis from 2000 to 2015 and had a bipolar disorder diagnosis. Pain severity, comorbidities, demographics, and suicide mortality were extracted from VHA databases. Poisson regression examined relative risk of suicide by the presence pain screening and pain severity ratings. RESULTS: Pain was assessed in 72.73 % of veterans. Suicide risk was greater in those not assessed (0.98 % versus 0.77 % in assessed group). However, this result did not persist after adjusting for covariates (RR = 1.06). Among those assessed, higher suicide risk was associated with moderate (RR = 1.10), severe pain (RR = 1.06), and no pain (reference) relative to mild pain (RR = 0.99). Major depression, substance use disorders, and prescribed opioids and benzodiazepines increased risk. LIMITATIONS: Data were obtained from medical records; diagnoses were not confirmed via formal assessment, and no information was available on actual medication use or purpose. Over 25 % of the sample were missing pain severity ratings, which could have affected results. CONCLUSIONS: Suicide risk factors among persons with bipolar disorder are complex and multifactorial. Providers should prioritize suicide prevention efforts following new onset or worsening pain.

Addressing Veterans' Mental Health in Community-Based Care.

United States Veterans are at an elevated risk for suicide despite the expansion of public outreach initiatives. Department of Veterans Affairs (VA) health care centers may not be accessible to a large proportion of Veterans, but on the other hand, community-based physicians often do not feel they have tools to meet these patients' unique needs. This issue may be addressed via collaboration between VA and community-based providers to develop military cultural competence alongside increased education on the breadth of resources available to Veteran patients.

Orlando Veterans Affairs Stratification Tool for Opioid Risk Mitigation (STORM) Very High Risk Interdisciplinary Team Review: A Brief Report.

BACKGROUND: Compared to the general population, Veterans Health Administration (VHA) patients have higher rates of mental illness, chronic pain, and substance use disorders (SUD), conditions that increase risk for opioid-related adverse events. VHA developed the Stratification Tool for Opioid Risk Mitigation (STORM) and mandated case reviews by an interdisciplinary team (IDT) for patients identified as very high risk, a process implemented and led by clinical pharmacist practitioners at the Orlando Veterans Affairs Healthcare System (OVAHCS) in 2018. OBJECTIVE: To evaluate and describe the implementation and process for IDT reviews of patients identified as very high risk by the STORM clinical decision support tool at OVAHCS. METHODS: A single center, retrospective, observational chart review was conducted. Veterans reviewed by the STORM IDT between January to September 2018 were reviewed for change in Morphine Equivalent Daily Dose (MEDD), naloxone, non-opioid analgesics, medications for SUD, benzodiazepines, engagement with clinical services (e.g., mental health, SUD, pain clinic), and overdose or suicide attempts in the year prior versus the year after IDT review. The frequency of follow-up IDT reviews was evaluated. RESULTS: Seventeen patients were identified. Four were excluded due to non-opioid related death within 12 months after review. The average baseline MEDD was 82.2mg (range 10 - 496mg) and average 12 months after review was 7.5mg (range 0 - 67.5mg), a decrease of 74.7mg, or 90.9% reduction. An increase in medications for SUD (3 patients; 23%), SUD engagement (3 to 6 patients), and urine drug tests was observed (79% increase). Benzodiazepine use decreased by 50%. CONCLUSION: This report provides insight on the IDT case review process at OVAHCS, a process that may vary widely across facilities. A reduction in MEDD, increase in SUD treatment, and improved risk mitigation was observed. The central role of clinical pharmacy and expanded process for continued follow-up warrants further study.

Canadian Veterans' Experiences of Living with Chronic Pain: A Descriptive Qualitative Study.

Background: An estimated 30% of veterans live with chronic pain, compared to 20% of Canadians in the general population. Veterans face health care challenges upon release from the military, increasing difficulties in obtaining chronic pain care. Aims: We explored experiences of Canadian Armed Forces veterans living with chronic pain, their transition from military to civilian care, perceived barriers and facilitators to chronic pain care, and impacts of their pain on the domains of well-being. Methods: We conducted a qualitative descriptive study using semistructured interviews. We used a deductive/inductive approach to derive themes and concepts from interview transcripts. Results: Thirty-five veterans living with chronic pain participated. Participants reported that pain affected their lives in numerous ways, including negatively impacting relationships and limiting activities of daily living and leisure. They identified barriers to care, including lack of access to family doctors or health care services, reluctance to ask for help, and challenges in obtaining coverage for services from Veterans Affairs Canada. Facilitators included support from other veterans and online resources. Chronic pain had bidirectional effects on domains of well-being. Conclusions: Experiences of pain varied among Canadian veterans, and military culture played a role in perceptions and management of pain. Barriers and facilitators to chronic pain care were highlighted from their time in the military into their transition to civilian care. Participants described the impact of chronic pain on their overall well-being. Determining whether these findings are relevant to a larger population of Canadian veterans will be important for future research and knowledge translation to improve chronic pain care for Canadian veterans.

Contexte : On estime que 30 % des anciens combattants souffrent de douleur chronique, contre 20 % des Canadiens dans la population générale Les vétérans sont confrontés à des défis en matière de soins de santé lorsqu'ils quittent l'armée, ce qui augmente les difficultés pour obtenir des soins pour la douleur chronique.Objectifs : Nous avons exploré les expériences des vétérans des Forces armées canadiennes vivant avec une douleur chronique, leur transition des soins militaires aux soins civils, les obstacles et les facilitateurs perçus en matière de soins pour la douleur chronique, ainsi que les effets de cette douleur sur les différents aspects de leur bien-être.Méthodes : Nous avons réalisé une étude qualitative descriptive en utilisant des entretiens semi-structurés. Une approche à la fois déductive et inductive a été utilisée pour extraire des thèmes et des concepts à partir des transcriptions des entretiens.Résultats : Trente-cinq anciens combattants souffrant de douleur chronique ont participé à l'étude. Les participants ont déclaré que la douleur affectait leur vie de nombreuses façons, notamment en ayant un impact négatif sur leurs relations en limitant les activités de la vie quotidienne ainsi que les loisirs. Ils ont recensé des obstacles aux soins, notamment le manque d'accès à des médecins de famille ou aux services de soins de santé, la réticence à demander de l'aide, et les difficultés à obtenir une couverture pour les services d'Anciens Combattants Canada. Les facilitateurs comprennent le soutien d'autres anciens combattants et les ressources en ligne. La douleur chronique a eu des effets bidirectionnels sur différents aspects de leur bien-être.Conclusions : Les expériences de la douleur varient parmi les anciens combattants canadiens, et la culture militaire joue un rôle dans les perceptions et la prise en charge de la douleur. Les obstacles aux soins pour la douleur chronique, ainsi que les facilitateurs, ont été mis en évidence depuis leur temps dans l'armée jusqu'à leur transition vers les soins civils. Les participants ont décrit l'effet de la douleur chronique sur leur bien-être général. Il sera important de déterminer si ces résultats sont pertinents pour une population plus large d'anciens combattants canadiens dans le cadre de recherches futures et de l'application des connaissances, afin d'améliorer les soins pour la douleur chronique chez les anciens combattants canadiens.

Developing a systems-focused tool for modeling lung cancer screening resource needs.

BACKGROUND: Early detection through screening dramatically improves lung cancer survival rates, including among war Veterans, who are at heightened risk. The effectiveness of low dose computed tomography scans in lung cancer screening (LCS) prompted the Veteran's Affairs Lung Precision Oncology Program (VA LPOP) to increase screening rates. We aimed to develop an adaptive population health tool to determine adequate resource allocation for the program, with a specific focus on primary care providers, nurse navigators, and radiologists. METHODS: We developed a tool using C + + that uses inputs that represents the process of the VA LCS program in Ann Arbor, Michigan to calculate FTEs of human resource needs to screen a given population. Further, we performed a sensitivity analysis to understand how resource needs are impacted by changes in population, screening eligibility, and time allocated for the nurse navigators' tasks. RESULTS: Using estimates from the VA LCS Program as demonstrative inputs, we determined that the greatest number of full-time equivalents required were for radiologists, followed by nurse navigators and then primary care providers, for a target population of 75,000. An increase in the population resulted in a linear increase of resource needs, with radiologists experiencing the greatest rate of increase, followed by nurse navigators and primary care providers. These resource requirements changed with primary care providers, nurse navigators and radiologists demonstrating the greatest increase when 1-20, 20-40 and > 40% of Veterans accepted to be screened respectively. Finally, when increasing the time allocated to check eligibility by the nurse navigator from zero to three minutes, there was a linear increase in the full-time equivalents required for the nurse navigator. CONCLUSION: Variation of resource utilization demonstrated by our user facing tool emphasizes the importance of tailored strategies to accommodate specific population demographics and downstream work. We will continue to refine this tool by incorporating additional variability in system parameters, resource requirements following an abnormal test result, and resource distribution over time to reach steady state. While our tool is designed for a specific program in one center, it has wider applicability to other cancer screening programs.

User Experiences of Transitioning From a Homegrown Electronic Health Record to a Vendor-Based Product in the Department of Veterans Affairs: Qualitative Findings From a Mixed Methods Evaluation.

BACKGROUND: The Department of Veterans Affairs (VA), the largest nationally integrated health system in the United States, is transitioning from its homegrown electronic health record (EHR) to a new vendor-based EHR, Oracle Cerner. Experiences of the first VA site to transition have been widely discussed in the media, but in-depth accounts based on rigorous research are lacking. OBJECTIVE: We sought to explore employee perspectives on the rationale for, and value of, transitioning from a VA-tailored EHR to a vendor-based product. METHODS: As part of a larger mixed methods, multisite, formative evaluation of VA clinician and staff experiences with the EHR transition, we conducted semistructured interviews at the Mann-Grandstaff VA Medical Center before, during, and after going live in October 2020. In total, we completed 122 interviews with 26 participants across multiple departments. RESULTS: Before the new vendor-based EHR went live, participants initially expressed cautious optimism about the transition. However, in subsequent interviews following the go-live, participants increasingly critiqued the vendor's understanding of VA's needs, values, and workflows, as well as what they perceived as an inadequate fit between the functionalities of the new vendor-based EHR system and VA's characteristic approach to care. As much as a year after going live, participants reiterated these concerns while also expressing a desire for substantive changes to the transition process, with some questioning the value of continuing with the transition. CONCLUSIONS: VA's transition from a homegrown EHR to a vendor-based EHR system has presented substantial challenges, both practical and cultural in nature. Consequently, it is a valuable case study for understanding the sociotechnical dimension of EHR-to-EHR transitions. These findings have implications for both VA leadership and the broader community of policy makers, vendors, informaticists, and others involved in large-scale health information technology implementations.

Sex Disparities in the Management of Acute Coronary Syndromes: Insights From the Veterans Affairs Clinical Assessment, Reporting, and Tracking Program.

BACKGROUND: Previous work has demonstrated disparities in the management of cardiovascular disease among men and women. We sought to evaluate these disparities and their associations with clinical outcomes among patients admitted with acute coronary syndromes to the Veterans Affairs Healthcare System. METHODS AND RESULTS: We identified all patients that were discharged with acute coronary syndromes within the Veterans Affairs Healthcare System from October 1, 2015 to September 30, 2022. Medical and procedural management of patients was subsequently assessed, stratified by sex. In doing so, we identified 76 454 unique admissions (2327 women, 3.04%), which after propensity matching created an analytic cohort composed of 6765 men (74.5%) and 2295 women (25.3%). Women admitted with acute coronary syndromes were younger with fewer cardiovascular comorbidities and a lower prevalence of preexisting prescriptions for cardiovascular medications. Women also had less coronary anatomic complexity compared with men (5 versus 8, standardized mean difference [SMD]=0.40), as calculated by the Veterans Affairs SYNTAX score. After discharge, women were significantly less likely to receive cardiology follow-up at 30 days (hazard ratio [HR], 0.858 [95% CI, 0.794-0.928]) or 1 year (HR, 0.891 [95% CI, 0.842-0.943]), or receive prescriptions for guideline-indicated cardiovascular medications. Despite this, 1-year mortality rates were lower for women compared with men (HR, 0.841 [95% CI, 0.747-0.948]). CONCLUSIONS: Women are less likely to receive appropriate cardiovascular follow-up and medication prescriptions after hospitalization for acute coronary syndromes. Despite these differences, the clinical outcomes for women remain comparable. These data suggest an opportunity to improve the posthospitalization management of cardiovascular disease regardless of sex.

Factors associated with total laryngectomy following organ-preserving treatment of laryngeal SCC.

Objectives: A subset of laryngeal squamous cell carcinoma (LSCC) patients undergoing larynx preserving treatment ultimately require total laryngectomy (TL) for oncologic or functional reasons. This study aims to identify TL risk factors in these patients. Methods: Retrospective cohort study using Veterans Affairs (VA) database. T1-T4 LSCC cases treated with primary radiotherapy (XRT) or chemoradiotherapy (CRT) were assessed for TL and recurrence. Binary logistic and Cox regression and Kaplan-Meier analyses were implemented. Results: Of 5390 cases, 863 (16.0%) underwent TL. On multivariable analysis, age (adjusted odds ratio: 0.97 [0.96-0.98]; p < .001) and N3 disease (0.42 [0.18-1.00]; p = .050) were associated with reduced risk of TL, whereas current alcohol use (1.22 [1.04-1.43]; p = .015) and >T1 disease (T2, 1.76 [1.44-2.17]; p < .001; T3, 2.06 [1.58-2.68]; p < .001; T4, 1.79 [1.26-2.53]; p = .001) were associated with increased risk of TL. However, N2 (adjusted hazard ratio: 1.30 [1.10-1.55]; p = .003) and N3 (2.02 [1.25-3.26]; p = .004) disease were associated with an increased risk for local recurrence. Compared to XRT, treatment with CRT was associated with reduced risk for local recurrence after adjusting for other factors (0.84 [0.70-0.99]; p = .044). Those who do not receive TL following local recurrence have poorer disease-specific survival (log-rank, p < .001). In patients without local recurrence, N2 disease was associated with a fourfold increase in risk of TL (4.24 [1.83-9.82]; p < .001). Conclusion: Advanced nodal stage was associated with reduced rates of salvage TL in the setting of local recurrence, and subsequent worse prognosis after recurrence. Conversely, advanced nodal stage may increase the risk for functional salvage TL in patients without recurrence. Level of Evidence: Level 3.

Comparing Federal Communications Commission and Microsoft Estimates of Broadband Access for Mental Health Video Telemedicine Among Veterans: Retrospective Cohort Study.

BACKGROUND: The COVID-19 pandemic highlighted the importance of telemedicine in health care. However, video telemedicine requires adequate broadband internet speeds. As video-based telemedicine grows, variations in broadband access must be accurately measured and characterized. OBJECTIVE: This study aims to compare the Federal Communications Commission (FCC) and Microsoft US broadband use data sources to measure county-level broadband access among veterans receiving mental health care from the Veterans Health Administration (VHA). METHODS: Retrospective observational cohort study using administrative data to identify mental health visits from January 1, 2019, to December 31, 2020, among 1161 VHA mental health clinics. The exposure is county-level broadband percentages calculated as the percentage of the county population with access to adequate broadband speeds (ie, download >25 megabits per second) as measured by the FCC and Microsoft. All veterans receiving VHA mental health services during the study period were included and categorized based on their use of video mental health visits. Broadband access was compared between and within data sources, stratified by video versus no video telemedicine use. RESULTS: Over the 2-year study period, 1,474,024 veterans with VHA mental health visits were identified. Average broadband percentages varied by source (FCC mean 91.3%, SD 12.5% vs Microsoft mean 48.2%, SD 18.1%; P<.001). Within each data source, broadband percentages generally increased from 2019 to 2020. Adjusted regression analyses estimated the change after pandemic onset versus before the pandemic in quarterly county-based mental health visit counts at prespecified broadband percentages. Using FCC model estimates, given all other covariates are constant and assuming an FCC percentage set at 70%, the incidence rate ratio (IRR) of county-level quarterly mental video visits during the COVID-19 pandemic was 6.81 times (95% CI 6.49-7.13) the rate before the pandemic. In comparison, the model using Microsoft data exhibited a stronger association (IRR 7.28; 95% CI 6.78-7.81). This relationship held across all broadband access levels assessed. CONCLUSIONS: This study found FCC broadband data estimated higher and less variable county-level broadband percentages compared to those estimated using Microsoft data. Regardless of the data source, veterans without mental health video visits lived in counties with lower broadband access, highlighting the need for accurate broadband speeds to prioritize infrastructure and intervention development based on the greatest community-level impacts. Future work should link broadband access to differences in clinical outcomes.

Rising to the Challenge: An ID Provider-Led Initiative to Address Penicillin Allergy Labels at a Large Veterans Affairs Medical Center.

Background: Given the negative consequences associated with a penicillin allergy label, broader penicillin allergy delabeling initiatives are highly desirable but hindered by the shortage of allergists in the United States. To address this problem at our facility, the infectious diseases section introduced a quality improvement initiative to evaluate and remove allergy labels among inpatient veterans. Methods: Between 15 November 2022 and 15 December 2023, we identified inpatients with a penicillin allergy label. We subsequently interviewed eligible candidates to stratify penicillin allergy risk and attempt to remove the allergy label directly via chart review, following inpatient oral amoxicillin challenge or outpatient community care allergy referral. Delabeling outcomes, subsequent penicillin-class prescriptions, and relabeling were tracked after successful allergy label removal. Results: We screened 272 veterans, of whom 154 were interviewed for this intervention. A total of 53 patients were delabeled: 26 directly, 23 following oral amoxicillin challenge, and 4 following outpatient allergy referrals. Of the patients who were delabeled, 25 received subsequent penicillin-class prescriptions. No adverse reactions occurred following inpatient oral amoxicillin challenges. Patients with a low-risk penicillin allergy history were more likely to undergo a challenge if admitted with an infectious diseases-related condition. Only 1 inappropriate relabeling event occurred during the study period, which was subsequently corrected. Conclusions: An infectious diseases provider-led initiative resulted in penicillin allergy label removal in more than one third of inpatients evaluated using direct removal or oral amoxicillin challenge. Efforts focused on patients who had been admitted for infections were particularly successful.

Development and validation of an electronic health record-based algorithm for identifying TBI in the VA: A VA Million Veteran Program study.

The purpose of this study was to develop and validate an algorithm for identifying Veterans with a history of traumatic brain injury (TBI) in the Veterans Affairs (VA) electronic health record using VA Million Veteran Program (MVP) data. Manual chart review (n = 200) was first used to establish 'gold standard' diagnosis labels for TBI ('Yes TBI' vs. 'No TBI'). To develop our algorithm, we used PheCAP, a semi-supervised pipeline that relied on the chart review diagnosis labels to train and create a prediction model for TBI. Cross-validation was used to train and evaluate the proposed algorithm, 'TBI-PheCAP.' TBI-PheCAP performance was compared to existing TBI algorithms and phenotyping methods, and the final algorithm was run on all MVP participants (n = 702,740) to assign a predicted probability for TBI and a binary classification status choosing specificity = 90%. The TBI-PheCAP algorithm had an area under the receiver operating characteristic curve of 0.92, sensitivity of 84%, and positive predictive value (PPV) of 98% at specificity = 90%. TBI-PheCAP generally performed better than other classification methods, with equivalent or higher sensitivity and PPV than existing rules-based TBI algorithms and MVP TBI-related survey data. Given its strong classification metrics, the TBI-PheCAP algorithm is recommended for use in future population-based TBI research.

The Road to Reintegration: Evaluating the Effectiveness of VA Healthcare in Vocational Rehabilitation and Employment Retention for Veterans with Mental Health and Substance Use Disorders.

Introduction: Veterans diagnosed with mental health and/or substance use disorders (SUD) often face significant barriers to employment and reintegration into civilian society. In the current study, we investigated whether how the VA healthcare system for mental health and/or SUD treatment predicted program enrollment into vocational rehabilitation, simultaneous mental health and/or SUD treatment while enrolled in vocational rehabilitation predicted employment at discharge, and mental health and/or SUD treatment continues and employment remain 60-days-post-vocational-rehabilitation discharge. Methods: An outcome-based, summative program evaluation design to measure quality assurance of vocational rehabilitation services provided to 402 veteran patients enrolled in a VA healthcare located within the Great Lakes Health Care System - Veterans Integrated Services Network. Results: Multivariable logistic regression analyses showed psychological empowerment (confidence in one's ability to work or find work) is a significant factor determining whether a veteran is enrolled in the vocational rehabilitation program, prior mental health treatment (yes/no) and frequency of mental health treatment did not predict program enrollment, and frequency of SUD VA system treatment 60 days prior did not predict program enrollment. Other findings showed that simultaneous mental health and/or SUD treatment while enrolled in vocational rehabilitation did not predict employment at discharge, and employment at discharge did not predict continued mental health and/or SUD treatment post-discharge from vocational rehabilitation. However, veterans with both SUD and mental health and continued mental health treatment were less likely to be employed. Conclusion: Utilization of real-world program evaluation data from an actual VHA vocational rehabilitation program enhances the study's ecological validity, offering practical implications for policymakers and practitioners in the field. The findings support the importance of veterans enrolling in mental health and/or SUD treatment simultaneously while enrolled in vocational rehabilitation services, as integrating vocational rehabilitation with mental health and SUD treatment services can lead to improved vocational and health outcomes for veterans (eg, development of targeted interventions to support veterans' successful reintegration into the workforce and society).

Trends in Veteran hospitalizations and associated readmissions and emergency department visits during the MISSION Act era.

OBJECTIVE: To examine changes in hospitalization trends and healthcare utilization among Veterans following Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act implementation. DATA SOURCES AND STUDY SETTING: VA Corporate Data Warehouse and Centers for Medicare and Medicaid Services datasets. STUDY DESIGN: Retrospective cohort study to compare 7- and 30-day rates for unplanned readmission and emergency department visits following index hospital stays based on payor type (VHA facility stay, VA-funded stay in community facility [CC], or Medicare-funded community stay [CMS]). Segmented regression models were used to compare payors and estimate changes in outcome levels and slopes following MISSION Act implementation. DATA COLLECTION/EXTRACTION METHODS: Veterans with active VA primary care utilization and ≥1 acute hospitalization between January 1, 2016 and December 31, 2021. PRINCIPAL FINDINGS: Monthly index stays increased for all payors until MISSION Act implementation, when VHA and CMS admissions declined while CC admissions accelerated and overtook VHA admissions. In December 2021, CC admissions accounted for 54% of index admissions, up from 25% in January 2016. From adjusted models, just prior to implementation (May 2019), Veterans with CC admissions had 47% greater risk of 7-day readmission (risk ratio [RR]: 1.47, 95% confidence interval [CI]: 1.43, 1.51) and 20% greater risk of 30-day readmission (RR: 1.20, 95% CI: 1.19, 1.22) compared with those with VHA admissions; both effects persisted post-implementation. Pre-implementation CC admissions were also associated with higher 7- and 30-day ED visits, but both risks were substantially lower by study termination (RR: 0.90, 95% CI: 0.88, 0.91) and (RR: 0.89, 95% CI: 0.87, 0.90), respectively. CONCLUSIONS: MISSION Act implementation was associated with substantial shifts in treatment site and federal payor for Veteran hospitalizations. Post-implementation readmission risk was estimated to be higher for those with CC and CMS index admissions, while post-implementation risk of ED utilization following CC admissions was estimated to be lower compared with VHA index admissions. Reasons for this divergence require further investigation.

Impact of a Remote Primary Care Telehealth Staffing Model on Primary Care Access in the Veterans Health Administration.

BACKGROUND: The Veterans Health Administration (VHA) implemented the Clinical Resource Hub (CRH) program to fill staffing gaps in primary care (PC) clinics via telemedicine and maintain veterans' healthcare access. OBJECTIVE: To evaluate PC wait times before and after CRH implementation. DESIGN: Comparative interrupted time series analysis among a retrospective observational cohort of PC clinics who did and did not use CRH during pre-implementation (October 2018-September 2019) and post-implementation (October 2019-February 2020) periods. PARTICIPANTS: Clinics completing ≥10 CRH visits per month for 2 consecutive months and propensity matched control clinics. MAIN MEASURES: Two measures of patient access (i.e., established, and new patient wait times) and one measure of clinic capacity (i.e., third next available appointment) were assessed. Clinics using CRH were 1:1 propensity score matched across clinical and demographic characteristics. Comparative interrupted time series models used linear mixed effects regression with random clinic-level intercepts and triple interaction (i.e., CRH use, pre- vs. post-implementation, and time) for trend and point estimations. KEY RESULTS: PC clinics using CRH (N = 79) were matched to clinics not using CRH (N = 79). In the 12-month pre-implementation, third next available time increased in CRH clinics (0.16 days/month; 95% CI = [0.07, 0.25]), and decreased in the 5 months post-implementation (-0.58 days/month; 95% CI = [-0.90, -0.27]). Post-implementation third next available time also decreased in control clinics (-0.48 days/month; 95% CI = [-0.81, -0.17]). Comparative differences remained non-significant. There were no statistical differences in established or new patient wait times by CRH user status, CRH implementation, or over time. CONCLUSIONS: In a national VHA telemedicine program developed to provide gap coverage for PC clinics, no wait time differences were observed between clinics using and not using CRH services. This hub-and-spoke telemedicine service is an effective model to provide gap coverage while maintaining access. Further investigation of quality and long-term access remains necessary.

Prevalence of Mild Cognitive Impairment and Alzheimer's Disease Identified in Veterans in the United States.

Background: Diagnostic codes can be instrumental for case identification in Alzheimer's disease (AD) research; however, this method has known limitations and cannot distinguish between disease stages. Clinical notes may offer more detailed information including AD severity and can complement diagnostic codes for case identification. Objective: To estimate prevalence of mild cognitive impairment (MCI) and AD using diagnostics codes and clinical notes available in the electronic healthcare record (EHR). Methods: This was a retrospective study in the Veterans Affairs Healthcare System (VAHS). Health records from Veterans aged 65 years or older were reviewed during Fiscal Years (FY) 2010-2019. Overall, 274,736 and 469,569 Veterans were identified based on a rule-based algorithm as having at least one clinical note for MCI and AD, respectively; 201,211 and 149,779 Veterans had a diagnostic code for MCI and AD, respectively. During FY 2011-2018, likely MCI or AD diagnosis was defined by≥2 qualifiers (i.e., notes and/or codes)≥30 days apart. Veterans with only 1 qualifier were considered as suspected MCI/AD. Results: Over the 8-year study, 147,106 and 207,225 Veterans had likely MCI and AD, respectively. From 2011 to 2018, yearly MCI prevalence increased from 0.9% to 2.2%; yearly AD prevalence slightly decreased from 2.4% to 2.1%; mild AD changed from 22.9% to 26.8%, moderate AD changed from 26.5% to 29.1%, and severe AD changed from 24.6% to 30.7. Conclusions: The relative distribution of AD severities was stable over time. Accurate prevalence estimation is critical for healthcare resource allocation and facilitating patients receiving innovative medicines.

Evaluating feedback reports to support documentation of veterans' care preferences in home based primary care.

BACKGROUND: To evaluate the effectiveness of delivering feedback reports to increase completion of LST notes among VA Home Based Primary Care (HBPC) teams. The Life Sustaining Treatment Decisions Initiative (LSTDI) was implemented throughout the Veterans Health Administration (VHA) in the United States in 2017 to ensure that seriously ill Veterans have care goals and LST decisions elicited and documented. METHODS: We distributed monthly feedback reports summarizing LST template completion rates to 13 HBPC intervention sites between October 2018 and February 2020 as the sole implementation strategy. We used principal component analyses to match intervention to 26 comparison sites and used interrupted time series/segmented regression analyses to evaluate the differences in LST template completion rates between intervention and comparison sites. Data were extracted from national databases for VA HBPC in addition to interviews and surveys in a mixed methods process evaluation. RESULTS: LST template completion rose from 6.3 to 41.9% across both intervention and comparison HBPC teams between March 1, 2018, and February 26, 2020. There were no statistically significant differences for intervention sites that received feedback reports. CONCLUSIONS: Feedback reports did not increase documentation of LST preferences for Veterans at intervention compared with comparison sites. Observed increases in completion rates across intervention and comparison sites can likely be attributed to implementation strategies used nationally as part of the national roll-out of the LSTDI. Our results suggest that feedback reports alone were not an effective implementation strategy to augment national implementation strategies in HBPC teams.

Scoping review of military veterans involved in the criminal legal system and their health and healthcare: 5-year update and map to the Veterans-Sequential Intercept Model.

BACKGROUND: A previous scoping review of legal-involved veterans' health and healthcare (1947-2017) identified studies and their limitations. Given the influx of literature published recently, this study aimed to update the previous review and map articles to the Veterans-Sequential Intercept Model (V-SIM) - a conceptual model used by key partners, including Veterans Health Administration, veteran advocates, criminal justice practitioners, and local governments to identify intercept points in the criminal legal system where resources and programming can be provided. Developing an updated resource of literature is essential to inform current research, discover gaps, and highlight areas for future research. METHODS: A systematic search of 5 databases identified articles related to legal-involved veterans' health and healthcare published between December 2017 through December 2022. The first and senior authors conducted abstract reviews, full-text reviews, and data extraction of study characteristics. Finally, each article was sorted by the various intercept points from the V-SIM. RESULTS: Of 903 potentially relevant articles, 107 peer-reviewed publications were included in this review, most related to mental health (66/107, 62%) and used an observational quantitative study design (95/107, 89%). Although most articles did not explicitly use the V-SIM to guide data collection, analyses, or interpretation, all could be mapped to this conceptual model. Half of the articles (54/107, 50%) collected data from intercept 5 (Community Corrections and Support Intercept) of the V-SIM. No articles gathered data from intercepts 0 (Community and Emergency Services Intercept), 1 (Law Enforcement Intercept), or 2 (Initial Detention and Court Hearings Intercept). CONCLUSIONS: There were 107 articles published in the last five years compared to 190 articles published in 70 years covered in the last review, illustrating the growing interest in legal-involved veterans. The V-SIM is widely used by front-line providers and clinical leadership, but not by researchers to guide their work. By clearly tying their research to the V-SIM, researchers could generate results to help guide policy and practice at specific intercept points. Despite the large number of publications, research on prevention and early intervention for legal-involved veterans is lacking, indicating areas of great need for future studies.

Adopting the RE-AIM analytic framework for rural program evaluation: experiences from the Advance Care Planning via Group Visits (ACP-GV) national evaluation.

Introduction: To support rigorous evaluation across a national portfolio of grants, the United States Department of Veterans Affairs (VA) Office of Rural Health (ORH) adopted an analytic framework to guide their grantees' evaluation of initiatives that reach rural veterans and to standardize the reporting of outcomes and impacts. Advance Care Planning via Group Visits (ACP-GV), one of ORH's Enterprise-Wide Initiatives, also followed the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. ACP-GV is a national patient-centered intervention delivered in a large, veterans integrated healthcare system. This manuscript describes how RE-AIM was used to evaluate this national program and lessons learned from ORH's annual reporting feedback to ACP-GV on their use of the framework to describe evaluation impacts. Methods: We used patient, provider, and site-level administrative health care data from the VA Corporate Data Warehouse and national program management databases for federal fiscal years (FY) spanning October 1, 2018-September 30, 2023. Measures included cumulative and past FY metrics developed to assess program impacts. Results: RE-AIM constructs included the following cumulative and annual program evaluation results. ACP-GV reached 54,167 unique veterans, including 19,032 unique rural veterans between FY 2018 to FY 2023. During FY 2023, implementation adherence to the ACP-GV model was noted in 91.7% of program completers, with 55% of these completers reporting a knowledge increase and 14% reporting a substantial knowledge increase (effectiveness). As of FY 2023, 66 ACP-GV sites were active, and 1,556 VA staff were trained in the intervention (adoption). Of the 66 active sites in FY 2023, 27 were sites previously funded by ORH and continued to offer ACP-GV after the conclusion of three years of seed funding (maintenance). Discussion: Lessons learned developing RE-AIM metrics collaboratively with program developers, implementers, and evaluators allowed for a balance of clinical and scientific input in decision-making, while the ORH annual reporting feedback provided specificity and emphasis for including both cumulative, annual, and rural specific metrics. ACP-GV's use of RE-AIM metrics is a key step towards improving rural veteran health outcomes and describing real world program impacts.

Defining the Subtypes of Long COVID and Risk Factors for Prolonged Disease: Population-Based Case-Crossover Study.

BACKGROUND: There have been over 772 million confirmed cases of COVID-19 worldwide. A significant portion of these infections will lead to long COVID (post-COVID-19 condition) and its attendant morbidities and costs. Numerous life-altering complications have already been associated with the development of long COVID, including chronic fatigue, brain fog, and dangerous heart rhythms. OBJECTIVE: We aim to derive an actionable long COVID case definition consisting of significantly increased signs, symptoms, and diagnoses to support pandemic-related clinical, public health, research, and policy initiatives. METHODS: This research employs a case-crossover population-based study using International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) data generated at Veterans Affairs medical centers nationwide between January 1, 2020, and August 18, 2022. In total, 367,148 individuals with ICD-10-CM data both before and after a positive COVID-19 test were selected for analysis. We compared ICD-10-CM codes assigned 1 to 7 months following each patient's positive test with those assigned up to 6 months prior. Further, 350,315 patients had novel codes assigned during this window of time. We defined signs, symptoms, and diagnoses as being associated with long COVID if they had a novel case frequency of ≥1:1000, and they significantly increased in our entire cohort after a positive test. We present odds ratios with CIs for long COVID signs, symptoms, and diagnoses, organized by ICD-10-CM functional groups and medical specialty. We used our definition to assess long COVID risk based on a patient's demographics, Elixhauser score, vaccination status, and COVID-19 disease severity. RESULTS: We developed a long COVID definition consisting of 323 ICD-10-CM diagnosis codes grouped into 143 ICD-10-CM functional groups that were significantly increased in our 367,148 patient post-COVID-19 population. We defined 17 medical-specialty long COVID subtypes such as cardiology long COVID. Patients who were COVID-19-positive developed signs, symptoms, or diagnoses included in our long COVID definition at a proportion of at least 59.7% (268,320/449,450, based on a denominator of all patients who were COVID-19-positive). The long COVID cohort was 8 years older with more comorbidities (2-year Elixhauser score 7.97 in the patients with long COVID vs 4.21 in the patients with non-long COVID). Patients who had a more severe bout of COVID-19, as judged by their minimum oxygen saturation level, were also more likely to develop long COVID. CONCLUSIONS: An actionable, data-driven definition of long COVID can help clinicians screen for and diagnose long COVID, allowing identified patients to be admitted into appropriate monitoring and treatment programs. This long COVID definition can also support public health, research, and policy initiatives. Patients with COVID-19 who are older or have low oxygen saturation levels during their bout of COVID-19, or those who have multiple comorbidities should be preferentially watched for the development of long COVID.