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.

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.

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).

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.

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.

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.

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.

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.

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.

The Importance of Autonomy and Performance Goals in Perceived Workload Among Behavioral Health Providers.

OBJECTIVE: The authors sought to assess workplace characteristics associated with perceived reasonable workload among behavioral health care providers in the Veterans Health Administration. METHODS: The authors evaluated perceived reasonable workload and workplace characteristics from the 2019 All Employee Survey (AES; N=14,824) and 2019 Mental Health Provider Survey (MHPS; N=10,490) and facility-level staffing ratios from Mental Health Onboard Clinical Dashboard data. Nine AES and 15 MHPS workplace predictors of perceived reasonable workload, 11 AES and six MHPS demographic predictors, and facility-level staffing ratios were included in mixed-effects logistic regression models. RESULTS: In total, 8,874 (59.9%) AES respondents and 5,915 (56.4%) MHPS respondents reported having a reasonable workload. The characteristics most strongly associated with perceived reasonable workload were having attainable performance goals (average marginal effect [AME]=0.10) in the AES and ability to schedule patients as frequently as indicated (AME=0.09) in the MHPS. Other AES characteristics significantly associated with reasonable workload included having appropriate resources, support for personal life, skill building, performance recognition, concerns being addressed, and no supervisor favoritism. MHPS characteristics included not having collateral duties that reduce care time, staffing levels not affecting care, support staff taking over some responsibilities, having spirit of teamwork, primary care-mental health integration, participation in performance discussions, well-coordinated mental health care, effective veteran programs, working at the top of licensure, and feeling involved in improving access. Facility-level staffing ratios were not significantly associated with perceived reasonable workload. CONCLUSIONS: Leadership may consider focusing resources on initiatives that support behavioral health providers' autonomy to schedule patients as clinically indicated and develop attainable performance goals.

INviting Veterans InTo Enrollment in Alzheimer's Disease Research Centers (INVITE-ADRC): An NIA and VA-sponsored initiative to increase veteran participation in aging and dementia research.

INTRODUCTION: Older military veterans often present with unique and complex risk factors for Alzheimer's disease (AD) and related dementias. Increasing veteran participation in research studies offers one avenue to advance the field and improve health outcomes. METHODS: To this end, the National Institute on Aging (NIA) and Department of Veterans Affairs (VA) partnered to build infrastructure, improve collaboration, and intensify targeted recruitment of veterans. This initiative, INviting Veterans InTo Enrollment in Alzheimer's Disease Research Centers (INVITE-ADRC), provided funding for five sites and cross-site organizing structure. Diverse and innovative recruitment strategies were used. RESULTS: Across five sites, 172 veterans entered registries, and 99 were enrolled into ADRC studies. Of the enrolled, 39 were veterans from historically underrepresented racial and ethnic groups. CONCLUSIONS: This initiative laid the groundwork to establish sustainable relationships between the VA and ADRCs. The partnership between both federal agencies demonstrates how mutual interests can accelerate progress. In turn, efforts can help our aging veterans.

A model for delivery of extracorporeal life support in a stand-alone veterans affairs medical center.

INTRODUCTION: For the Veterans Health Administration (VHA) to continue to perform complex cardiothoracic surgery, there must be an established pathway for providing urgent/emergent extracorporeal life support (ECLS). Partnership with a nearby tertiary care center with such expertise may be the most resource-efficient way to provide ECLS services to patients in post-cardiotomy cardiogenic shock or respiratory failure. The goal of this project was to assess the efficiency, safety, and outcomes of surgical patients who required transfer for perioperative ECLS from a single stand-alone Veterans Affairs Medical Center (VAMC) to a separate ECLS center. METHODS: Cohort consisted of all cardiothoracic surgery patients who experienced cardiogenic shock or refractory respiratory failure at the local VAMC requiring urgent or emergent institution of ECLS between 2019 and 2022. The primary outcomes are the safety and timeliness of transport. RESULTS: Mean time from the initial shock call to arrival at the ECLS center was 2.8 h. There were no complications during transfer. Six patients (86%) survived to decannulation. CONCLUSION: These results suggest that complex cardiothoracic surgery can be performed within the VHA system and when there is an indication for ECLS, those services can be safely and effectively provided at an affiliated, properly equipped center.

Change in Provider Specialty Was Associated With Less Fluoroquinolone Use at a Veterans Affairs Long-Term Care Setting.

OBJECTIVE: In July 2021, as part of a planned multiyear broad and long-term organizational realignment, the general medicine service assumed continuous care of residents at a Community Living Center (CLC), which are nursing homes within the Veterans Affairs (VA) health care system. We hypothesized that practitioners accustomed to caring for patients in acute care would be more likely to prescribe antibiotics to long-term care residents. DESIGN: Retrospective cohort study. SETTINGS AND PARTICIPANTS: Residents of a 105-bed CLC associated with a large VA medical center. METHODS: Our cohort included CLC residents between July 1, 2020, and June 30, 2022. We used administrative data to assess resident demographics and medical conditions in the 1 year before and after the change of practitioners. We also compared antibiotics agents prescribed and the following antibiotic use metrics in the year before and after the change: days of therapy (DOT) per 1000 bed days of care (BDOC), antibiotic starts/1000 BDOC, and mean length of therapy in days. RESULTS: Resident characteristics and overall antibiotic use metrics were similar before and after the change in staffing. The specific agents prescribed differed, with a decrease in fluoroquinolones (14.3 to 5.8 DOT/1000 BDOC; P < .01) and an increase doxycycline (7.4 vs 19.1 DOT/1000 BDOC; P < .01) after the staff change. Rates of Clostridioides difficile infection also decreased, from 6.23 to 3.41 cases/10,000 BDOC after the change in staffing. CONCLUSIONS AND IMPLICATIONS: The comparable antibiotic use metrics before and after the general medical service assumed care of the CLC residents may be explained by constancy in resident population and other facility-related factors. Differences in the types of agents used suggests that antibiotic stewardship efforts can be tailored not only to the setting and patient population but also to the practitioners' discipline.

Annual mpMRI surveillance: PI-RADS upgrading and increasing trend correlated with patients who harbor clinically significant disease.

INTRODUCTION: Prostate cancer screening has routinely identified men with very low- or low-risk disease, per the National Comprehensive Cancer Network guidelines. Current literature has demonstrated that the most appropriate management strategy for these patients is active surveillance (AS). The mainstay of AS includes periodic biopsies and biannual prostate-specific antigen tests. However, multiparametric magnetic resonance imaging (mpMRI) is uniquely posed to improve patient surveillance. This study aimed to evaluate the utility of an annual mpMRI in patients on AS, focusing on radiologic upgrading and Prostate Imaging-Reporting and Data System (PI-RADS) trends as indicators of clinically significant disease. METHODS: This prospective, single intuition, study enrolled 208 patients on AS who had at least two biopsies and 1 mpMRI with a median follow-up of 5.03 years. The main outcome variable was time to Gleason grade (GG) reclassification. RESULTS: After delineating patients on their initial PI-RADS score, men with score 3 and 5 lesions at first MRI had comparable GG reclassification-free survival to their counterparts. Conversely, men with initial PI-RADS 4 lesions showed a lower 5-year GG reclassification-free survival compared to those with PI-RADS score 1-2. The cohort was then subset to 70 patients who obtained ≥2 mpMRIs on protocol. Men experiencing uptrending mpMRI scores had an increased risk of GG reclassification, with a 35.4% difference in 5 year GG reclassification-free survival probability on the Kaplan-Meier curve analysis. CONCLUSION: In conclusion, this study demonstrates that for men on AS with stable recapitulated disease, an annual MRI may replace repeat biopsies after confirmatory sampling has been obtained. On the other hand, men who initiate AS with PI-RADS 4 and/or who display uptrending mpMRI scores require periodic biopsies along with repeat imaging. This study highlights the utility of integrating an annual MRI into AS protocols, thus promising a more effective approach to management.

Spinal magnetic stimulation to treat chronic back pain: a feasibility study in veterans.

Aim: Chronic low back pain represents a significant societal problem leading to increased healthcare costs and quality of life. This study was designed to evaluate the feasibility and effectiveness of non-invasive spinal electromagnetic simulation (SEMS) to treat nonspecific chronic low back pain (CLBP). Methods: A single-site prospective study was conducted to evaluate SEMS in reducing pain and improving disability. A total of 17 patients received SEMS two to three sessions a week. The Numeric Rating Scale and the Modified Oswestry Disability Questionnaire were used to assess pain and disability. Results: Participants receiving SEMS exhibited statistically significant reductions in pain and disability. Conclusion: Current results suggest that non-invasive SEMS can be an effective treatment in reducing pain and improving disability associated with CLBP.

Comparing Outcomes in Patients Undergoing Colectomy at Veteran Affairs Hospitals and Non-Veteran Affairs Hospitals: A Multiinstitutional Study.

INTRODUCTION: The Veteran Affairs Surgical Quality Improvement Program (VASQIP) and National Surgical Quality Improvement Program (NSQIP) are large databases designed to measure surgical outcomes for their respective populations. We sought to compare surgical outcomes in patients undergoing colectomies at Veterans Affairs (VA) hospitals versus non-VA hospitals. METHODS: After institutional review baord approval, records for 271,523 colectomies from NSQIP and 11,597 from VASQIP between the years 2015 and 2019 were compiled. Demographics, comorbidity, 30-d mortality, and other outcomes were examined using Chi-squared, analysis of variance, Mann Whitney U, and Fisher's Exact Test within SPSS version 26. RESULTS: VASQIP patients were more likely to be male (94.3% versus 48.4%, P < 0.001) and older (median 63, 52-72 versus 67, 60-72 P < 0.001). Veterans were also more likely to have diabetes (25.3% versus 15.8%, P < 0.001), chronic obstructive pulmonary disease (15.4% versus 5.5%, P < 0.001), and congestive heart failure (17.0% versus 1.3%, P < 0.001). Veterans had slightly better 30-d mortality (2.4% versus 2.8%, P = 0.003), less organ space infections (2.8% versus 5.8%, P < 0.001), or postoperative sepsis (3.4% versus 5.3%). Non-VA patients were more likely to be having emergent surgery (13.4% versus 9.6%, P < 0.001) or undergo a laparoscopic approach (57.9% versus 50.2%, P < 0.001). Non-VA patients had shorter postoperative length of stay (5.99 d versus 7.32 d, P < 0.001) and were less likely to return to the operating room (5.3% versus 8.4%, P < 0.001) CONCLUSIONS: Despite increased comorbidity, VA hospitals and hospitals enrolled in NSQIP have managed to achieve markedly similar rates of 30-d mortality following colectomy. Further study is needed to better understand the differences between both the populations and surgical outcomes between VA hospitals and non-VA hospitals.

Trajectory of Healthcare Contact Days for Veterans With Advanced Gastrointestinal Malignancy.

How and where patients with advanced cancer facing limited survival spend their time is critical. Healthcare contact days (days with healthcare contact outside the home) offer a patient-centered and practical measure of how much of a person's life is consumed by healthcare. We retrospectively analyzed contact days among decedent veterans with stage IV gastrointestinal cancer at the Minneapolis Veterans Affairs Healthcare System from 2010 to 2021. Among 468 decedents, the median overall survival was 4 months. Patients spent 1 in 3 days with healthcare contact. Over the course of illness, the percentage of contact days followed a "U-shaped" pattern, with an initial post-diagnosis peak, a lower middle trough, and an eventual rise as patients neared the end-of-life. Contact days varied by clinical factors and by sociodemographics. These data have important implications for improving care delivery, such as through care coordination and communicating expected burdens to and supporting patients and care partners.