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BACKGROUND: Electronic personal health record (PHR) systems are proliferating but largely have not realized their potential for enhancing communication among patients and their network of care providers. OBJECTIVE: To explore preferences about sharing electronic health information among users of the U.S. Department of Veterans Affairs (VA) PHR system, My HealtheVet. DESIGN: Web-based survey of a convenience sample. SETTING: My HealtheVet Web site from 7 July through 4 October 2010. PARTICIPANTS: 18 471 users of My HealtheVet. MEASUREMENTS: Interest in shared PHR access and preferences about who would receive access, the information that would be shared, and the activities that users would delegate. RESULTS: Survey respondents were predominantly men (92%) and aged 50 to 64 years (51%) or 65 years or older (39%); approximately 39% reported poor or fair health status. Almost 4 of 5 respondents (79%) were interested in sharing access to their PHR with someone outside of their health system (62% with a spouse or partner, 23% with a child, 15% with another family member, and 25% with a non-VA health care provider). Among those who selected a family member other than a spouse or partner, 47% lived apart from the specified person. Preferences about degree of access varied on the basis of the type of information being shared, the type of activity being performed, and the respondent's relationship with the selected person. LIMITATIONS: The survey completion rate was 40.8%. Results might not be generalizable to all My HealtheVet users. CONCLUSION: In a large survey of PHR users in the VA system, most respondents were interested in sharing access to their electronic health information with caregivers and non-VA providers. Existing and evolving PHR systems should explore secure mechanisms for shared PHR access to improve information exchange among patients and the multiple persons involved in their health care. PRIMARY FUNDING SOURCE: Veterans Health Administration and The Robert Wood Johnson Foundation Clinical Scholars Program. [ABSTRACT FROM AUTHOR]

America's physicians are ill-prepared for the surge of geriatric patients that will overwhelm the medical system in the near future. The combination of inadequate undergraduate medical training in geriatrics, insufficient numbers of geriatric faculty to serve as mentors, and lack of incentives for medical students considering geriatrics as a field have resulted in graduate geriatric positions going unfilled. This paper discusses the growing need for comprehensive geriatric training and presents geriatric training initiatives that have been funded at the federal and state level, in addition to programs being funded by private foundations. Recommendations focus on enhancing the attractiveness of geriatrics, expanding geriatric curriculum in undergraduate medical education, increasing clinical exposure to elderly patients in graduate medical education, expanding career development opportunities for faculty in geriatrics, expanding funding for training and research, and reformingMedicare's payment system. [ABSTRACT FROM AUTHOR]

Objectives: Among Veterans Health Administration (VHA) patients receiving internet-connected tablets, we examined (1) app usage, (2) clusters of commonly used apps and patient characteristics across clusters, and (3) the relationship between app clusters and mental health services., Materials and Methods: A survey was distributed to a national sample of VHA patients ( n  = 5449) within 6 months of tablet receipt. Self-reported app use was clustered with agglomerative hierarchical clustering. Survey data were combined with electronic health record data that included sociodemographics and mental health care utilization during the 6 months following survey completion. Differences in patient characteristics by cluster were examined using chi-square tests. A multivariable model assessed prediction of mental health services across app clusters., Results: Among 1664 patients with complete survey and health care utilization data, the majority (74%) reported using at least 1 app. The most used apps were for video visits (60%) and VA's patient portal (53%). Cluster analysis revealed 5 distinct groups reflecting app usage: Patient Portal ( n  = 685, 41%), Video Connection ( n  = 319, 19%), Treatment Companion ( n  = 166, 10%), Self-Management ( n  = 85, 5%), and Non-App Group ( n  = 409, 25%). Cluster characteristics varied, and those in the Patient Portal Group (adjusted odds ratio  = 1.64; 95% CI = 1.15-2.32) and Video Connection Group (adjusted odds ratio = 1.52; 95% CI = 1.02-2.26) were more likely to have a mental health visit in the 6 months after survey completion when compared to the Non-App Group ( P  < .05)., Discussion: Tablet provision supports opportunities to use apps for multiple health management tasks, and app use clusters vary across patient characteristics and health care utilization., Conclusion: Patients most commonly used apps to connect with their care team, and use of some apps and app combinations may improve engagement with mental health services., Competing Interests: None declared., (Published by Oxford University Press on behalf of the American Medical Informatics Association 2024.)

Objectives: Technology has the potential to increase access to evidence-based insomnia treatment. Patient preferences/perceptions of automated digital cognitive behavior therapy for insomnia (CBTI) and telehealth-delivered CBTI remain largely unexplored among middle-aged and older adults. Using a qualitative approach, the current study describes patients' reasons for participating in the clinical trial, preferences for digital CBTI (dCBTI) versus therapist-led CBTI, patient attitudes toward dCBTI, and patient attitudes toward telehealth-delivered therapist-led CBTI., Method: Middle-aged and older adults ( N  = 80) completed a semi-structured interview before CBTI exposure. Qualitative responses were coded, and themes were inductively extracted., Results: Most (62.5%) of the participants expressed a preference for therapist-led CBTI to dCBTI. Convenience was the most commonly reported advantage of dCBTI ( n  = 55) and telehealth-delivered CBTI ( n  = 65). Decreasing transit time and pandemic-related health concerns were identified as advantages to dCBTI and telehealth-delivered CBTI. Lack of human connection and limited personalization were perceived as disadvantages of dCBTI. Only three participants reported technological barriers to dCBTI and telehealth-delivered CBTI., Conclusion: Findings suggest that, despite an overall preference for therapist-led treatment, most middle-aged and older adults are open to dCBTI. As both dCBTI and telehealth-delivered CBTI are perceived as convenient, these modalities offer the potential to increase access to insomnia care.

Background: Telehealth (care delivered by phone or video) comprises a substantial proportion of cardiology care delivered in the Veterans Health Administration (VHA). Little is known about how factors specific to patients, clinicians, and facilities contribute to variation in cardiology telehealth use., Objective: The aim of this study is to estimate the relative extent to which patient-, clinician-, and facility-level factors affect cardiology telehealth use in VHA., Methods: This was a retrospective, nation-wide cohort study of veterans' use of VHA cardiology telehealth care during the first 2 years of the COVID-19 pandemic (March 11, 2020, to March 10, 2022). We constructed multilevel, multivariable, logistic regression models of patient-level cardiology telehealth use (telephone or video-based care). Models included random effects for the patient, the patient's main cardiology provider, and the patient's primary facility (ie, VHA medical center) for specialty care and fixed effects for patient sociodemographic and clinical characteristics., Results: Our analytic cohort comprised 223,809 veterans with 989,271 encounters among 2235 unique clinicians. The veterans' average age was 70.2 years, and 3.4% (n=7616) were women. Of the 989,271 encounters, 4.2% (n=41,480) were video based and 34.3% (n=338,834) were phone based. Adjusted odds of telehealth use were slightly higher for women versus men (adjusted odds ratio [AOR] 1.08, 95% CI 1.05-1.10), individuals identifying as Hispanic or Latino versus not Hispanic or Latino (AOR 1.46, 95% CI 1.43-1.49), and those with medium and long drive times versus short drive time (AOR 1.11, 95% CI 1.10-1.12 and AOR 1.09, 95% CI 1.07-1.10, respectively). Further, 40.5% of the variation in a veteran's likelihood of using cardiology telehealth care was found at the patient level, 30.8% at the clinician level, and 7% at the facility level., Conclusions: The largest share of the attributable variability in VHA cardiology telehealth use in this cohort was explained by the patient, followed closely by the clinician. Little variability was attributed to the primary facility through which the veteran received their cardiology care. These results suggest that policy solutions intended to improve equity of cardiology telehealth care use in VHA may be most impactful when directed at patients and clinicians., (©Rebecca Lauren Tisdale, Jacqueline M Ferguson, James Van Campen, Liberty Greene, Charlie M Wray, Donna M Zulman. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.10.2024.)

Background: Social risks (individual social and economic conditions) have been implicated as playing a major role in the opioid epidemic and may be more prevalent in the most medically vulnerable patients. However, the extent to which specific social risks and other patient factors are associated with opioid use among high-risk patients has not been comprehensively assessed., Objective: To identify patient-reported and electronic health record (EHR)-derived demographic, social, behavioral/psychological, and clinical characteristics associated with opioid use in Veterans Affairs (VA) patients at high risk for hospitalization or death., Design: We used generalized estimating equations to calculate the probability of long-term opioid therapy (LTOT) and the probability of filling any opioid prescription (regardless of duration) over five intervals during a 4-year period (12/2016-12/2020)., Participants: Prospective cohort of 4121 medically high-risk VA patients not receiving palliative or end-of-life care, and who responded to a survey mailed to a nationally representative sample of 10,000 high-risk VA patients., Main Measures: Patient-reported demographic, social risk, behavioral/psychological, and clinical measures, and linked EHR-derived data., Key Results: The average age was 69.8 years, 6.7% were female, and 17.5% were Non-Hispanic Black race/ethnicity. The majority had diagnosed chronic pain (76.1%). LTOT and any opioid prescription were positively associated with the following: younger age, non-Hispanic White race/ethnicity (compared to non-Hispanic Black race/ethnicity), male sex assigned at birth (LTOT only), not being currently employed, current tobacco use, no alcohol use, higher grit (any opioid prescription only), functional limitations, diagnosed chronic pain, lower comorbidity burden (LTOT only), obesity class I or class II/III (any opioid prescription only), undergoing surgery (any opioid prescription only), and diagnosed cancer (any opioid prescription only)., Conclusions: Multifactor screening could help identify individuals at elevated risk for adverse opioid-related outcomes and augment current multifaceted initiatives, as several social risks and patient characteristics were predictors of LTOT and any opioid prescription., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: Many health systems are trying to support the ability of older adults to remain in their homes for as long as possible. Little is known about the relationship between patient-reported social risks and length of time spent at home. We assessed how social risks were associated with days at home for a cohort of older Veterans at high risk for hospitalization and mortality., Methods: A prospective cross-sectional study using a 2018 survey of 3479 high-risk Veterans aged ≥65 linked to Veterans Health Administration data. Social risks included measures of social resources (i.e., no partner present, low social support), material resources (i.e., not employed, financial strain, medication insecurity, food insecurity, and transportation barriers), and personal resources (i.e., low medical literacy and less than high school education). We estimated how social risks were associated with days at home, defined as the number of days spent outside inpatient, long-term care, observation, or emergency department settings over a 12-month period, using a negative binomial regression model., Results: Not having a partner, not being employed, experiencing transportation barriers, and low medical literacy were respectively associated with 2.57, 3.18, 3.39, and 6.14 fewer days at home (i.e., 27% more facility days, 95% confidence interval [CI] 8%-50%; 42% more facility days, 95% CI 7%-89%; 34% more facility days, 95% CI 7%-68%; and 63% more facility days, 95% CI 27%-109%). Experiencing food insecurity was associated with 2.62 more days at home (i.e., 24% fewer facility days, 95% CI 3%-59%)., Conclusions: Findings suggest that screening older Veterans at high risk of community exit for social risks (i.e., social support, material resources, and medical literacy) may help identify patients likely to benefit from home- and community-based health and social services that facilitate remaining in home settings. Future research should focus on understanding the mechanisms by which these associations occur., (Published 2024. This article is a U.S. Government work and is in the public domain in the USA.)

Background: Video telehealth offers a mechanism to help Veterans Health Administration (VHA) patients overcome health care access barriers; however, many veterans lack a suitable device and sufficient internet connectivity. To address disparities in technology access, VHA established a Connected Device Program that offers veterans loaned video-capable tablets and internet service. In 2020, VHA introduced a national Digital Divide Consult to facilitate and standardize referrals for this resource., Objective: We sought to evaluate the reach and impact of VHA's Connected Device Program, leveraging Digital Divide Consult data to determine whether resources are supporting veterans with health care needs and access barriers., Methods: We examined the reach of VHA's Connected Device Program using national secondary data from VHA's electronic health records among 119,926 tablet recipients who received a tablet (April 1, 2020, to February 28, 2023) and 683,219 veterans from the general VHA population. We assessed changes in tablet recipients' demographic and clinical characteristics before and after implementation of the Digital Divide Consult compared with the general VHA population. We examined the impact of tablets and the consult on adoption of telehealth (ie, video visit use and number of visits) adjusting for differences between tablet recipients and the general VHA population. Finally, we evaluated consult implementation by assessing the use of video-based services by tablet referral reason., Results: Common reasons for tablet referral included mental health diagnoses (50,367/79,230, 63.9%), distance from a VHA facility >30 miles (17,228/79,230, 21.7%), and social isolation (16,161/79,230, 20.4%). Moreover, 63.0% (49,925/79,230) of individuals who received a tablet after implementation of the Digital Divide Consult had a video visit in the first 6 months of tablet receipt. Some consult reasons were associated with a higher-than-average percentage of video telehealth use, including enrollment in evidence-based mental health programs (74.8% [830/1100] with video use), living >30 miles from a VHA facility (68.3% [10,557/17,228] with video use), and having a mental health diagnosis (68.1% [34,301/50,367] with video use). Tablet recipients had nearly 3 times the likelihood of having a video visit within a month once provided a tablet compared to the general VHA population, with an adjusted risk ratio of 2.95 (95% CI 2.91-2.99) before consult implementation and 2.73 (95% CI 2.70-2.76) after consult implementation. Analyses of telehealth adoption suggested that veterans receiving tablets for mental health care and evidence-based programs have higher rates of video visits, while those who are homebound or receiving tablets for hospice have higher rates of nonuse., Conclusions: This evaluation of VHA's Connected Device Program suggests that tablets are facilitating video-based care among veterans with complex needs. Standardization of referrals through the Digital Divide Consult has created opportunities to identify groups of tablet recipients with lower telehealth adoption rates who might benefit from a targeted intervention., (©Jacqueline M Ferguson, James Van Campen, Cindie Slightam, Liberty Greene, Leonie Heyworth, Donna M Zulman. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 09.09.2024.)

Study Objectives: Evaluate a triaged stepped-care strategy among adults 50 and older with insomnia disorder., Methods: Participants (N=245) were classified at baseline by a Triage-Checklist. Those projected to do better if they start treatment with therapist versus digitally delivered CBT-I (tCBT-I versus dCBT-I) constituted the YES stratum (n=137); the rest constituted the NO stratum (n=108). Participants were randomized within stratum to a strategy that utilized only dCBT-I (ONLN) or to a strategy that prospectively allocated the first step of care to dCBT-I or tCBT-I based on the Triage-Checklist and switched dCBT-I non-responders at 2-months to tCBT-I (STEP). Co-primary outcomes were the insomnia severity index (ISI) and the average nightly amount of prescription hypnotic medications used (MEDS), assessed at 2,4,6,9, and 12 months post-randomization., Results: Mixed effects models revealed that, compared to ONLN, participants in STEP had greater reductions in ISI (p=0.001; η2=0.01) and MEDS (p=0.019, η2=0.01). Within the YES stratum, compared to ONLN, those in STEP had greater reductions in ISI (p=0.0001, η2=0.023) and MEDS (p=0.018, η2=0.01). Within the ONLN arm, compared to the YES stratum, those in the NO stratum had greater reductions in ISI (p=0.015, η2=0.01) but not in MEDS. Results did not change with treatment-dose covariate adjustment., Conclusions: Triaged-stepped care can help guide allocation of limited CBT-I treatment resources to promote effective and safe treatment of chronic insomnia among middle age and older adults. Further refinement of the Triage-Checklist and optimization of the timing and switching criteria may improve the balance between effectiveness and use of resources., (© The Author(s) 2024. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Many healthcare systems have implemented intensive outpatient primary care programs with the hopes of reducing healthcare costs., Objective: The Veterans Health Administration (VHA) piloted primary care intensive management (PIM) for patients at high risk for hospitalization or death, or "high-risk." We evaluated whether a referral model would decrease high-risk patient costs., Design: Retrospective cohort study using a quasi-experimental design comparing 456 high-risk patients referred to PIM from October 2017 to September 2018 to 415 high-risk patients matched on propensity score., Participants: Veterans in the top 10th percentile of risk for 90-day hospitalization or death and recent hospitalization or emergency department (ED) visit., Intervention: PIM consisted of interdisciplinary teams that performed comprehensive assessments, intensive case management, and care coordination services., Main Outcomes and Measures: Change in VHA and non-VHA outpatient utilization, inpatient admissions, and costs 12 months pre- and post-index date., Key Results: Of the 456 patients referred to PIM, 301 (66%) enrolled. High-risk patients referred to PIM had a marginal reduction in ED visits (- 0.7; [95% CI - 1.50 to 0.08]; p = 0.08) compared to propensity-matched high-risk patients; overall outpatient costs were similar. High-risk patients referred to PIM had similar number of medical/surgical hospitalizations (- 0.2; [95% CI, - 0.6 to 0.16]; p = 0.2), significant increases in length of stay (6.36; [CI, - 0.01 to 12.72]; p = 0.05), and higher inpatient costs ($22,628, [CI, $3587 to $41,669]; p = 0.02) than those not referred to PIM., Conclusions and Relevance: VHA intensive outpatient primary care was associated with higher costs. Referral to intensive case management programs targets the most complex patients and may lead to increased utilization and costs, particularly in an integrated healthcare setting with robust patient-centered medical homes., Trial Registration: PIM 2.0: Patient Aligned Care Team (PACT) Intensive Management (PIM) Project (PIM2). NCT04521816. https://clinicaltrials.gov/study/NCT04521816., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Funders of research have an opportunity to advance health equity and social justice by incorporating principles of diversity, equity, inclusion, and justice (DEIJ) in their approach to grantmaking. We conducted a pragmatic review to identify opportunities for grantmakers in the health care sector to integrate DEIJ in their funding activities. The resulting framework discusses recommendations within three phases as follows: (1) Organizational Context (i.e., initiate DEIJ efforts within the grantmaking organization, invest in community partnerships, and establish DEIJ goals), (2) Grantmaking Process (i.e., DEIJ-specific practices related to grant design, application, proposal review processes, and support for grantees), and (3) Assessment of Process and Outcomes (i.e., measurement, evaluation, and dissemination to maximize impact of DEIJ efforts). Throughout all grantmaking phases, it is critical to partner with and engage individuals and communities that have been historically marginalized in health care and research. In this article, we describe how adoption of framework practices can leverage grantmaking to advance DEIJ for communities, researchers, and projects., (© Zoe King et al., 2024; Published by Mary Ann Liebert, Inc.)

Background: Women Veterans have unique health care utilization patterns; however, video-based primary care utilization among and between women and men has not been well examined. Methods: In a retrospective cohort study, we calculated gender-stratified video visit adoption (i.e., likelihood) and frequency (i.e., rate of use among users) between April 1, 2020, and March 31, 2022, by demographic and clinical characteristics known to impact health care utilization. Results: Among 5,389,139 Veterans (9.2% women), 32% of women and 18.6% of men had a video-based primary care visit over the 2-year study period. Gender interacted with Veteran characteristics and the likelihood of any video care. Men often had associations stronger in magnitude (both positive and negative) than women, including by age, rurality, history of housing instability, mental health conditions, and marital status. The direction of effect never diverged by gender. A positive association among women always coincided with a positive association among men, and vice versa, across all characteristics assessed. Only the risk ratio for video care use comparing Veterans of Black race with White race was stronger among women. In contrast to the video care adoption differences by gender, we found few differences in the frequency of video-based care by gender. Conclusions: The findings suggest there are fewer disparities by demographic and clinical characteristics in any video care use among women compared with men and little to no disparities in the frequency of video care use by gender. Understanding the variation in video care utilization by gender could help improve acceptance, appropriate utilization, and uptake of video-based visits for all.

We introduce the bias and equivalence framework to highlight how concepts, methods, and tools from cultural psychology can contribute to successful cultural adaptation and implementation of behavioral interventions. To situate our contribution, we provide a review of recent cultural adaptation research and existing frameworks. We identified 68 different frameworks that have been cited when reporting cultural adaptations and highlight three major adaptation dimensions that can be used to differentiate adaptations. Regarding effectiveness, we found an average effect size of z r  = 0.24 (95%CI 0.20, 0.29) in 24 meta-analyses published since 2014, but also substantive differences across domains and unclear effects of the extent of cultural adaptations. To advance cultural adaptation efforts, we outline a framework that integrates key steps from previous cultural adaptation frameworks and highlight how cultural bias and equivalence considerations in conjunction with community engagement help a) in the diagnosis of behavioral or psychological problems, b) identification of possible interventions, c) the selection of specific mechanisms of behavior change, d) the specification and documentation of dose effects and thresholds for diagnosis, e) entry and exit points within intervention programs, and f) cost-benefit-sustainability discussions. We provide guiding questions that may help researchers when adapting interventions to novel cultural contexts., Competing Interests: Declaration of competing interest None., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Objective: To examine potential health disparities due to a broad reliance on telehealth during the COVID-19 pandemic, the authors studied the impact of video-enabled tablets provided by the U.S. Department of Veterans Affairs (VA) on psychotherapy usage among rural versus urban, Black versus White, and female versus male veterans., Methods: Psychotherapy usage trends before and after onset of the COVID-19 pandemic were examined among veterans with at least one mental health visit in 2019 (63,764 tablet recipients and 1,414,636 nonrecipients). Adjusted difference-in-differences and event study analyses were conducted to compare psychotherapy usage among tablet recipients and nonrecipients (March 15, 2020-December 31, 2021) 10 months before and after tablet issuance. Analyses were stratified by rurality, sex, and race., Results: Adjusted analyses demonstrated that tablet receipt was associated with increases in psychotherapy visit frequency in every patient group studied (rural, 27.4%; urban, 24.6%; women, 30.5%; men, 24.4%; Black, 20.8%; White, 28.1%), compared with visits before tablet receipt. Compared with men, women had statistically significant tablet-associated psychotherapy visit increases (video visits, 1.2 per year; all modalities, 1.0 per year)., Conclusions: VA-issued tablets led to increased psychotherapy usage for all groups examined, with similar increases found for rural versus urban and Black versus White veterans and higher increases for women versus men. Eliminating barriers to Internet access or device ownership may improve mental health care access among underserved or historically disadvantaged populations. VA's tablet program offers insights to inform policy makers' and health systems' efforts to bridge the digital divide., Competing Interests: The authors report no financial relationships with commercial interests.

Objectives: Video-based telehealth may expand access to mental health services among older veterans with alcohol use disorder (AUD). We examined the modalities through which mental health services were rendered, and predictors of video visits before and after video-enabled tablet receipt from the Veterans Health Administration. Method: 11,210 veterans aged 60 or older with a diagnosis of AUD who received a tablet between 1 April 2020 and 25 October 2021 were identified. The electronic health record was used to characterized encounters by modality of mental health care delivery in the six months pre/post tablet receipt. Logistic regression examined predictors of a video visit for mental health. Results: Phone was the most common modality; however, the proportion of video encounters increased from 8.7% to 26.2% after tablet receipt. Individuals who were older, male, and had more physical health conditions, were less likely to have a video visit. Individuals who were married, resided in urban areas, had a history of housing instability, and had more mental health conditions, were more likely to have a video visit. Conclusion: Video-enabled tablets may help older adults with AUD overcome access barriers to mental health services, although targeted support for certain groups may be necessary.

Importance: As video-based care expands in many clinical settings, assessing patient experiences with this care modality will help optimize health care quality, safety, and communication., Objective: To develop and assess the psychometric properties of the video visit user experience (VVUE) measure, a patient-reported measure of experiences with video-based technology., Design, Setting, and Participants: In this survey study, veterans completed a web-based, mail, or telephone survey about their use of Veterans Healthcare Administration (VHA) virtual care between September 2021 and January 2022. The survey was completed by patients who reported having a VHA video visit on their own device or a VHA-issued device and linked to VHA utilization data for the 6 months following the survey. Data analysis was performed from March 2022 to February 2023., Main Outcomes and Measures: The survey included 19 items about experiences with video visits that were rated using a 4-point Likert-type scale (strongly disagree to strongly agree). First, an exploratory factor analysis was conducted to determine the factor structure and parsimonious set of items, using the McDonald Omega test to assess internal consistency reliability. Then, a confirmatory factor analysis was conducted to test structural validity, and bivariate correlations between VVUE and VHA health care engagement were calculated to test concurrent validity. Finally, predictive validity was assessed using logistic regression to determine whether VVUE was associated with future VHA video visit use., Results: Among 1887 respondents included in the analyses, 83.2% (95% CI, 81.5%-84.8%) were male, 41.0% (95% CI, 38.8%-43.1%) were aged 65 years or older, and the majority had multiple chronic medical and mental health conditions. The exploratory factor analysis identified a 10-item single-factor VVUE measure (including questions about satisfaction, user-centeredness, technical quality, usefulness, and appropriateness), explaining 96% of the total variance, with acceptable internal consistency reliability (ω = 0.95). The confirmatory factor analysis results confirmed a single-factor solution (standardized root mean squared residual = 0.04). VVUE was positively associated with VHA health care engagement (ρ = 0.47; P < .001). Predictive validity models demonstrated that higher VVUE measure scores were associated with future use of video visits, where each 1-point increase on VVUE was associated with greater likelihood of having a video visit in subsequent 6 months (adjusted odds ratio, 1.04; 95% CI, 1.02-1.06)., Conclusions and Relevance: The findings of this study of veterans using video visits suggest that a brief measure is valid to capture veterans' experiences receiving VHA virtual care.

Introduction: The Veterans Health Administration (VHA) distributes video-enabled tablets to individuals with barriers to accessing care. Data suggests that many tablets are under-used. We surveyed Veterans who received a tablet to identify barriers that are associated with lower use, and evaluated the impact of a telephone-based orientation call on reported barriers and future video use., Methods: We used a national survey to assess for the presence of 13 barriers to accessing video-based care, and then calculated the prevalence of the barriers stratified by video care utilization in the 6 months after survey administration. We used multivariable modeling to examine the association between each barrier and video-based care use and evaluated whether a telephone-based orientation modified this association., Results: The most prevalent patient-reported barriers to video-based care were not knowing how to schedule a visit, prior video care being rescheduled/canceled, and past problems using video care. Following adjustment, individuals who reported vision or hearing difficulties and those who reported that video care does not provide high-quality care had a 19% and 12% lower probability of future video care use, respectively. Individuals who reported no interest in video care, or did not know how to schedule a video care visit, had an 11% and 10% lower probability of being a video care user, respectively. A telephone-based orientation following device receipt did not improve the probability of being a video care user., Discussion: Barriers to engaging in virtual care persist despite access to video-enabled devices. Targeted interventions beyond telephone-based orientation are needed to facilitate adoption and engagement in video visits., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Systemic racism embedded within the US health care system results in disproportionately worse health outcomes for Black pediatric patients and their caregivers. One meaningful mechanism through which these health disparities persist is through discriminatory treatment and anti-Black bias from clinicians. Strengthening care provided to Black pediatric patients and their caregivers requires that clinicians adopt culturally tailored communication strategies that promote health equity and counter racism. We conducted a scoping review of evidence-based communication practices in the medical literature that improve care for Black pediatric patients. We mapped the specific practices to the Presence 5 for Racial Justice framework and identified cross-cutting themes to describe practices across the five domains. There are three cross-cutting themes that underlie the recommended practices: 1) promote unbiased implementation of clinician communication strategies (eg, providing equitable recommendations for preventive care), 2) tailor care to Black pediatric patients (eg, explore the importance of the family unit), and 3) address racism experienced by Black pediatric patients and their caregivers (eg, acknowledge any previous negative experiences with the health care system). This review highlights communication practices that clinicians can adopt to build trusting relationships, empower Black families, and promote racial justice in clinical care. Future opportunities include expanding to system level change and validating these practices with patients and clinicians., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

The rapid expansion of virtual care is driving demand for equitable, high-quality access to technologies that are required to utilize these services. While the Department of Veterans Affairs (VA) is seen as a national leader in the implementation of telehealth, there remain gaps in evidence about the most promising strategies to expand access to virtual care. To address these gaps, in 2022, the VA's Health Services Research and Development service and Office of Connected Care held a "state-of-the-art" (SOTA) conference to develop research priorities for advancing the science, clinical practice, and implementation of virtual care. One workgroup within the SOTA focused on access to virtual care and addressed three questions: (1) Based on the existing evidence about barriers that impede virtual care access in digitally vulnerable populations, what additional research is needed to understand these factors? (2) Based on the existing evidence about digital inclusion strategies, what additional research is needed to identify the most promising strategies? and (3) What additional research beyond barriers and strategies is needed to address disparities in virtual care access? Here, we report on the workgroup's discussions and recommendations for future research to improve and optimize access to virtual care. Effective implementation of these recommendations will require collaboration among VA operational leadership, researchers, Human Factors Engineering experts and front-line clinicians as they develop, implement, and evaluate the spread of virtual care access strategies., (© 2023. The Author(s).)

Objective: Social risks complicate patients' ability to manage their conditions and access healthcare, but their association with health expenditures is not well established. To identify patient-reported social risk, behavioral, and health factors associated with health expenditures in Veterans Affairs (VA) patients at high risk for hospitalization or death., Data Sources, Study Setting, and Study Design: Prospective cohort study among high-risk Veterans obtaining VA care. Patient-reported social risk, function, and other measures derived from a 2018 survey sent to 10,000 VA patients were linked to clinical and demographic characteristics extracted from VA data. Response-weighted generalized linear and marginalized two-part models were used to examine VA expenditures (total, outpatient, medication, inpatient) 1 year after survey completion in adjusted models., Principal Findings: Among 4680 survey respondents, the average age was 70.9 years, 6.3% were female, 16.7% were African American, 20% had body mass index ≥35, 42.4% had difficulty with two or more basic or instrumental activities of daily living, 19.3% reported transportation barriers, 12.5% reported medication insecurity and 21.8% reported food insecurity. Medication insecurity was associated with lower outpatient expenditures (-$1859.51 per patient per year, 95% confidence interval [CI]: -3200.77 to -518.25) and lower total expenditures (-$4304.99 per patient per year, 95% CI: -7564.87 to -1045.10). Transportation barriers were negatively associated with medication expenditures (-$558.42, 95% CI: -1087.93 to -31.91). Patients with one functional impairment had higher outpatient expenditures ($2997.59 per patient year, 95% CI: 1185.81-4809.36) than patients without functional impairments. No social risks were associated with inpatient expenditures., Conclusions: In this study of VA patients at high risk for hospitalization and mortality, few social and functional measures were independently associated with the costs of VA care. Individuals with functional limitations and those with barriers to accessing medications and transportation may benefit from targeted interventions to ensure that they are receiving the services that they need., (Published 2023. This article is a U.S. Government work and is in the public domain in the USA.)

In 2020, the U.S. Department of Veterans Affairs (VA) expanded an initiative to distribute video-enabled tablets to Veterans with limited virtual care access. We examined patient characteristics associated with adoption and sustained use of video-based primary care among Veterans. We conducted a retrospective cohort study of Veterans who received VA-issued tablets between 3/11/2020-9/10/2020. We used generalized linear models to evaluate the sociodemographic and clinical factors associated with video-based primary care adoption (i.e., likelihood of having a primary care video visit) and sustained use (i.e., rate of video care) in the six months after a Veteran received a VA-issued tablet. Of the 36,077 Veterans who received a tablet, 69% had at least one video-based visit within six months, and 24% had a video-based visit in primary care. Veterans with a history of housing instability or a mental health condition, and those meeting VA enrollment criteria for low-income were significantly less likely to adopt video-based primary care. However, among Veterans who had a video visit in primary care (e.g., those with at least one video visit), older Veterans, and Veterans with a mental health condition had more sustained use (higher rate) than younger Veterans or those without a mental health condition. We found no differences in adoption of video-based primary care by rurality, age, race, ethnicity, or low/moderate disability and high disability priority groups compared to Veterans with no special enrollment category. VA's tablet initiative has supported many Veterans with complex needs in accessing primary care by video. While Veterans with certain social and clinical challenges were less likely to have a video visit, those who adopted video telehealth generally had similar or higher rates of sustained use. These patterns suggest opportunities for tailored interventions that focus on needs specific to initial uptake vs. sustained use of video care., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Objective: Chronic pain disproportionately affects medically and psychosocially complex patients, many of whom are at high risk of hospitalisation. Pain prevalence among high-risk patients, however, is unknown, and pain is seldom a focus for improving high-risk patient outcomes. Our objective is to (1) evaluate pain frequency in a high-risk patient population and (2) identify intensive management (IM) programme features that patients and providers perceive as important for promoting patient-centred pain care within primary care (PC)-based IM., Design: Secondary observational analysis of quantitative and qualitative evaluation data from a multisite randomised PC-based IM programme for high-risk patients., Setting: Five integrated local Veterans Affairs (VA) healthcare systems within distinct VA administrative regions., Participants: Staff and high-risk PC patients in the VA., Intervention: A multisite randomised PC-based IM programme for high-risk patients., Outcome Measures: (a) Pain prevalence based on VA electronic administrative data and (b) transcripts of interviews with IM staff and patients that mentioned pain., Results: Most (70%, 2593/3723) high-risk patients had at least moderate pain. Over one-third (38%, 40/104) of the interviewees mentioned pain or pain care. There were 89 pain-related comments addressing IM impacts on pain care within the 40 interview transcripts. Patient-identified themes were that IM improved communication and responsiveness to pain. PC provider-identified themes were that IM improved workload and access to expertise. IM team member-identified themes were that IM improved pain care coordination, facilitated non-opioid pain management options and mitigated provider compassion fatigue. No negative IM impacts on pain care were mentioned., Conclusions: Pain is common among high-risk patients. Future IM evaluations should consider including a focus on pain and pain care, with attention to impacts on patients, PC providers and IM teams., Competing Interests: Competing interests: We have read and understand the BMJ policy on competing interest and all authors have completed the ICMJE COI disclosure form. To the best of our knowledge, all authors report no competing interests, financial or other, that exist, apart from one author who reported receiving personal fees from Behavioral Health Services, Inc, outside the submitted work., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction/objectives: Delivering optimal patient care is impacted by a physician's ability to build trusting relationships with patients. Identifying techniques for rapport building is important for promoting patient-physician collaboration and improved patient outcomes. This study sought to characterize the approaches highly skilled primary care physicians (PCPs) use to effectively connect with diverse patients., Methods: Using an inductive thematic analysis approach, we analyzed semi-structured interview transcripts with 10 PCPs identified by leadership and/or colleagues for having exceptional patient communication skills. PCPs practiced in 3 diverse clinic settings: (1) academic medical center, (2) Veterans Affairs clinic, and (3) safety-net community clinic., Results and Conclusions: The thematic analysis yielded 5 themes that enable physicians to establish connections with patients: Respect for the Patient, Engaged Curiosity, Focused Listening, Mutual Participation, and Self-Awareness. Underlying all of these themes was a quality of authenticity, or a state of symmetry between one's internal experience and external words and actions. Adopting these communication techniques while allowing for adaptability in order to remain authentic in one's interactions with patients may facilitate improved connection and trust with patients. Encouraging physician authenticity in the patient-physician relationship supports a shift toward relationship-centered care. Additional medical education training is needed to facilitate authentic connection between physicians and patients., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Social risks contribute to poor health outcomes, especially for patients with complex medical needs. These same risks may impact access to primary care services., Objective: To study associations between social risks and primary care utilization among patients with medical complexity., Design: Prospective cohort study of respondents to a 2018 mailed survey, followed up to 2 years after survey completion., Participants: Nationally representative sample of 10,000 primary care patients in the Veterans Affairs (VA) health care system, with high (≥ 75th percentile) 1-year risk of hospitalization or death., Main Measures: Survey-based exposures were low social support, no family member/friend involved in health care, unemployment, transportation problem, food insecurity, medication insecurity, financial strain, low medical literacy, and less than high school graduate. Electronic health record-based outcomes were number of primary care provider (PCP) encounters, number of primary care team encounters (PCP, nurse, clinical pharmacist, and social worker), and having ≥ 1 social work encounter., Key Results: Among 4680 respondents, mean age was 70.3, 93.7% were male, 71.8% White non-Hispanic, and 15.8% Black non-Hispanic. Unemployment was associated with fewer PCP and primary care team encounters (incident rate ratio 0.77, 95% CI 0.65-0.91; p = 0.002 and 0.75, 0.59-0.95; p = 0.02, respectively), and low medical literacy was associated with more primary care team encounters (1.17, 1.05-1.32; p = 0.006). Among those with one or more social risks, 18.4% had ≥ 1 social work encounter. Low medical literacy (OR 1.95, 95% CI 1.45-2.61; p < 0.001), transportation problem (1.42, 1.10-1.83; p = 0.007), and low social support (1.31, 1.06-1.63; p = 0.01) were associated with higher odds of  ≥ 1 social work encounter., Conclusions: We found few differences in PCP and primary care team utilization among medically complex VA patients by social risk. However, social work use was low, despite its central role in addressing social risks. More work is needed to understand barriers to social work utilization., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: Many healthcare systems seek to improve care for complex high-risk patients, but engaging such patients to actively participate in their healthcare can be challenging., Objective: To identify and describe types of patient engagement strategies reported as successfully deployed by providers/teams and experienced by patients in a Veterans Health Administration (VA) intensive primary care (IPC) pilot program., Methods: We conducted semi-structured qualitative telephone interviews with 29 VA IPC staff (e.g., physicians, nurses, psychologists) and 51 patients who had at least four IPC team encounters. Interviews were recorded, transcribed, and analyzed thematically using a combination a priori/inductive approach., Results: The engagement strategies successfully deployed by the IPC providers/teams could be considered either more "facilitative," i.e., facilitated by and dependent on staff actions, or more "self-sustaining," i.e., taught to patients, thus cultivating their ongoing patient self-care. Facilitative strategies revolved around enhancing patient access and coordination of care, trust-building, and addressing social determinants of health. Self-sustaining strategies were oriented around patient empowerment and education, caregiver and/or community support, and boundaries and responsibilities. When patients described their experiences with the "facilitative" strategies, many discussed positive proximal outcomes (e.g., increased access to healthcare providers). Self-sustaining strategies led to positive (self-reported) longer-term clinical outcomes, such as behavior change., Conclusion: We identified two categories of strategies for successfully engaging complex, high-risk patients: facilitative and self-sustaining. Intensive primary care program leaders may consider thoughtfully building "self-sustaining" engagement strategies into program development. Future research can confirm their effectiveness in improving health outcomes., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: Healthcare engagement is a key measurement target for value-based healthcare, but a reliable and valid patient-reported measure has not yet been widely adopted., Objective: To assess the validity of a newly developed patient-reported measure of healthcare engagement, the 8-item PROMIS Healthcare Engagement (PHE-8a)., Design: Prospective cohort study of the association between healthcare engagement and quality of care over 1 year. We fit mixed effects models of quality indicators as a function of engagement scores, adjusting for age, race/ethnicity, rural residence, and risk scores., Participants: National stratified random sample of 9552 Veterans receiving Veterans Health Administration care for chronic conditions (hypertension, diabetes) or mental health conditions (depression, post-traumatic stress disorder)., Main Measures: Patient experience: Consumer Assessment of Health Plans and Systems communication and self-management support composites; no-show rates for primary care and mental health appointments; use of patient portal My HealtheVet; and Healthcare Effectiveness Data and Information Set electronic quality measures: HbA1c poor control, controlling high blood pressure, and hyperlipidemia therapy adherence., Key Results: Higher engagement scores were associated with better healthcare quality across all outcomes, with each 5-point increase (1/2 standard deviation) in engagement scores associated with statistically significant and clinically meaningful gains in quality. Across the continuum of low to high engagement scores, we observed a concomitant reduction in primary care no-show rates of 37% and 24% for mental health clinics; an increased likelihood of My HealtheVet use of 15.4%; and a decreased likelihood of poor diabetes control of 44%., Conclusions: The PHE-8a is a brief, reliable, and valid patient-reported measure of healthcare engagement. These results confirm previously untested hypotheses that patient engagement can promote healthcare quality., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: The Covid-19 pandemic dramatically changed healthcare delivery, driving rapid expansion of synchronous (i.e., real-time) audio-only and video telehealth, otherwise known as virtual care. Yet evidence describes significant inequities in virtual care utilization, with certain populations more dependent on audio-only virtual care than video-based care. Research is needed to inform virtual care policies and processes to counteract current inequities in access and health outcomes., Objective: Given the importance of incorporating equity into virtual care within the Veterans Health Administration (VHA), we convened a Think Tank to identify priorities for future research and virtual care operations focused on achieving equitable implementation of virtual care within the VHA., Methods: We used participatory activities to engage clinicians, researchers, and operational partners from across the VHA to develop priorities for equitable implementation of virtual care. We refined priorities through group discussion and force-ranked prioritization and outlined next steps for selected priorities., Key Results: Think Tank participants included 43 individuals from the VHA who represented diverse geographical regions, offices, and backgrounds. Attendees self-identified their associations primarily as operations (n = 9), research (n = 28), or both (n = 6). We identified an initial list of 63 potential priorities for future research and virtual care operations. Following discussion, we narrowed the list to four priority areas: (1) measure inequities in virtual care, (2) address emerging inequities in virtual care, (3) deploy virtual care equitably to accommodate differently abled veterans, and (4) measure and address potential adverse consequences of expanded virtual care. We discuss related information, data, key partners, and outline potential next steps., Conclusions: This Think Tank of research and operational partners from across the VHA identified promising opportunities to incorporate equity into the design and implementation of virtual care. Although much work remains, the priorities identified represent important steps toward achieving this vital goal., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: Telehealth has the potential to improve health care access for patients but it has been underused and understudied for examining patients with substance use disorders (SUD). VA began distributing video-enabled tablets to veterans with access barriers in 2016 to facilitate participation in home-based telehealth and expanded this program in 2020 due to the coronavirus COVID-19 pandemic., Objective: Examine the impact of VA's video-enabled telehealth tablets on mental health services for patients diagnosed with SUD., Methods: This study included VA patients who had ≥1 mental health visit in the calendar year 2019 and a documented diagnosis of SUD. Using difference-in-differences and event study designs, we compared outcomes for SUD-diagnosed patients who received a video-enabled tablet from VA between March 15th, 2020 and December 31st, 2021 and SUD-diagnosed patients who never received VA tablets, 10 months before and after tablet-issuance. Outcomes included monthly frequency of SUD psychotherapy visits, SUD specialty group therapy visits and SUD specialty individual outpatient visits. We examined changes in video visits and changes in visits across all modalities of care (video, phone, and in-person). Regression models adjusted for several covariates such as age, sex, rurality, race, ethnicity, physical and mental health chronic conditions, and broadband coverage in patients' residential zip-code., Results: The cohort included 21,684 SUD-diagnosed tablet-recipients and 267,873 SUD-diagnosed non-recipients. VA's video-enabled tablets were associated with increases in video visits for SUD psychotherapy (+3.5 visits/year), SUD group therapy (+2.1 visits/year) and SUD individual outpatient visits (+1 visit/year), translating to increases in visits across all modalities (in-person, phone and video): increase of 18 % for SUD psychotherapy (+1.9 visits/year), 10 % for SUD specialty group therapy (+0.5 visit/year), and 4 % for SUD specialty individual outpatient treatment (+0.5 visit/year)., Conclusions: VA's distribution of video-enabled tablets during the COVID-19 pandemic were associated with higher engagement with video-based services for SUD care among patients diagnosed with SUD, translating to modest increases in total visits across in-person, phone and video modalities. Distribution of video-enabled devices can offer patients critical continuity of SUD therapy, particularly in scenarios where they have heightened barriers to in-person care., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Inc.)

Background: The COVID-19 pandemic has amplified the need for web-based behavioral interventions to support individuals who are diagnosed with chronic conditions and their informal caregivers. However, most interventions focus on patient outcomes. Dyadic technology-enabled interventions that simultaneously improve outcomes for patients and caregivers are needed., Objective: This study aimed to describe the methodology used to adapt a telephone-based, facilitated, and dyadic self-management program called Self-care Using Collaborative Coping Enhancement in Diseases (SUCCEED) into a self-guided, web-based version (web-SUCCEED) and to conduct usability testing for web-SUCCEED., Methods: We developed web-SUCCEED in 6 steps: ideation-determine the intervention content areas; prototyping-develop the wireframes, illustrating the look and feel of the website; prototype refinement via feedback from focus groups; finalizing the module content; programming web-SUCCEED; and usability testing. A diverse team of stakeholders including content experts, web designers, patients, and caregivers provided input at various stages of development. Costs, including full-time equivalent employee, were summarized., Results: At the ideation stage, we determined the content of web-SUCCEED based on feedback from the program's original pilot study. At the prototyping stage, the principal investigator and web designers iteratively developed prototypes that included inclusive design elements (eg, large font size). Feedback about these prototypes was elicited through 2 focus groups of veterans with chronic conditions (n=13). Rapid thematic analysis identified two themes: (1) web-based interventions can be useful for many but should include ways to connect with other users and (2) prototypes were sufficient to elicit feedback about the esthetics, but a live website allowing for continual feedback and updating would be better. Focus group feedback was incorporated into building a functional website. In parallel, the content experts worked in small groups to adapt SUCCEED's content, so that it could be delivered in a didactic, self-guided format. Usability testing was completed by veterans (8/16, 50%) and caregivers (8/16, 50%). Veterans and caregivers gave web-SUCCEED high usability scores, noting that it was easy to understand, easy to use, and not overly burdensome. Notable negative feedback included "slightly agreeing" that the site was confusing and awkward. All veterans (8/8, 100%) agreed that they would choose this type of program in the future to access an intervention that aims to improve their health. Developing and maintaining the software and hosting together cost approximately US $100,000, excluding salary and fringe benefits for project personnel (steps 1-3: US $25,000; steps 4-6: US $75,000)., Conclusions: Adapting an existing, facilitated self-management support program for delivery via the web is feasible, and such programs can remotely deliver content. Input from a multidisciplinary team of experts and stakeholders can ensure the program's success. Those interested in adapting programs should have a realistic estimate of the budget and staffing requirements., (©Ranak Trivedi, Sierra Kawena Hirayama, Rashmi Risbud, Madhuvanthi Suresh, Marika Blair Humber, Kevin Butler, Alex Razze, Christine Timko, Karin Nelson, Donna M Zulman, Steven M Asch, Keith Humphreys, John D Piette. Originally published in JMIR Formative Research (https://formative.jmir.org), 16.06.2023.)

Background: Increasing the adoption of digital care tools, including video visits, is a long-term goal for the US Department of Veterans Affairs (VA). While previous work has highlighted patient-specific barriers to the use of video visits, few have examined how clinicians view such barriers and how they have overcome them during the rapid uptake of web-based care., Objective: This study sought input from providers, given their role as critical participants in video visit implementation, to qualitatively describe successful strategies providers used to adapt their practices to a web-based care setting., Methods: We conducted interviews with 28 VA providers (physicians and nurse practitioners) from 4 specialties that represent diverse clinical services: primary care (n=11), cardiology (n=7), palliative care (n=5), and spinal cord injury (n=5). All interviews were audio recorded and transcribed, and transcripts were reviewed and coded according to an iteratively created codebook. To identify themes, codes were grouped together into categories, and participant comments were reviewed for repetition and emphasis on specific points. Finally, themes were mapped to Expert Recommendations for Implementing Change (ERIC) strategies to identify evidence-based opportunities to support video visit uptake in the VA., Results: Interviewees were mostly female (57%, 16/28), with an average age of 49 years and with 2-20 years of experience working in the VA across 16 unique VA facilities. Most providers (82%, 23/28) worked in urban facilities. Many interviewees (78%, 22/28) had some experience with video visits prior to the COVID-19 pandemic, though a majority (61%, 17/28) had conducted fewer than 50 video visits in the quarter prior to recruitment. We identified four primary themes related to how providers adapt their practices to a web-based care setting: (1) peer-based learning and support improved providers' perceived value of and confidence in video visits, (2) providers developed new and refined existing communication and clinical skills to optimize video visits, (3) providers saw opportunities to revisit and refine team roles to optimize the value of video visits for their care teams, and (4) implementing and sustaining web-based care requires institutional and organizational support. We identified several ERIC implementation strategies to support the use of video visits across the individual-, clinic-, and system-levels that correspond to these themes: (1) individual-level strategies include the development of educational materials and conducting education meetings, (2) clinic-level strategies include identifying champions and revising workflows and professional roles, and (3) system-level strategies include altering incentive structures, preparing implementation blueprints, developing and implementing tools for quality monitoring, and involving executive leadership to encourage adoption., Conclusions: This work highlights strategies to support video visits that align with established ERIC implementation constructs, which can be used by health care systems to improve video visit implementation., (©Cindie Slightam, Charlie Wray, Rebecca L Tisdale, Donna M Zulman, Caroline Gray. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 24.04.2023.)

Importance: United States Veterans are at higher risk for suicide than non-Veterans. Veterans in rural areas are at higher risk than their urban counterparts. The coronavirus pandemic intensified risk factors for suicide, especially in rural areas., Objective: To examine associations between Veterans Health Administration's (VA's) universal suicide risk screening, implemented November 2020, and likelihood of Veterans being screened, and receiving follow-up evaluations, as well as post-screening suicidal behavior among patients who used VA mental health services in 2019., Methods: VA's Suicide Risk Identification Strategy (Risk ID), implemented October 2018, is a national, standardized process for suicide risk screening and evaluation. In November 2020, VA expanded Risk ID, requiring annual universal suicide screening. As such, we are evaluating outcomes of interest before and after the start of the policy among Veterans who had ≥1 VA mental health care visit in 2019 (n = 1,654,180; rural n = 485,592, urban n = 1,168,588). Regression-adjusted outcomes were compared 6 months pre-universal screening and 6, 12 and 13 months post-universal screening implementation., Measures: Item-9 on the Patient Health Questionnaire (I-9, VA's historic suicide screener), Columbia- Suicide Severity Risk Scale (C-SSRS) Screener, VA's Comprehensive Suicide Risk Evaluation (CSRE), and Suicide Behavior and Overdose Report (SBOR)., Results: 12 months post-universal screening implementation, 1.3 million Veterans (80% of the study cohort) were screened or evaluated for suicide risk, with 91% the sub-cohort who had at least one mental health visit in the 12 months post-universal screening implementation period were screened or evaluated. At least 20% of the study cohort was screened outside of mental health care settings. Among Veterans with positive screens, 80% received follow-up CSREs. Covariate-adjusted models indicated that an additional 89,160 Veterans were screened per month via the C-SSRS and an additional 30,106 Veterans/month screened via either C-SSRS or I-9 post-universal screening implementation. Compared to their urban counterparts, 7,720 additional rural Veterans/month were screened via the C-SSRS and 9,226 additional rural Veterans/month were screened via either the C-SSRS or I-9., Conclusion: VA's universal screening requirement via VA's Risk ID program increased screening for suicide risk among Veterans with mental health care needs. A universal approach to screening may be particularly advantageous for rural Veterans, who are typically at higher risk for suicide but have fewer interactions with the health care system, particularly within specialty care settings, due to higher barriers to accessing care. Insights from this program offer valuable insights for health systems nationwide., Competing Interests: The authors have declared that no competing interests exist., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Objective: To identify which Veteran populations are routinely accessing video-based care., Data Sources and Study Setting: National, secondary administrative data from electronic health records at the Veterans Health Administration (VHA), 2019-2021., Study Design: This retrospective cohort analysis identified patient characteristics associated with the odds of using any video care; and then, among those with a previous video visit, the annual rate of video care utilization. Video care use was reported overall and stratified into care type (e.g., primary, mental health, and specialty video care) between March 10, 2020 and February 28, 2021., Data Collection: Veterans active in VA health care (>1 outpatient visit between March 11, 2019 and March 10, 2020) were included in this study., Principal Findings: Among 5,389,129 Veterans in this evaluation, approximately 27.4% of Veterans had at least one video visit. We found differences in video care utilization by type of video care: 14.7% of Veterans had at least one primary care video visit, 10.6% a mental health video visit, and 5.9% a specialty care video visit. Veterans with a history of housing instability had a higher overall rate of video care driven by their higher usage of video for mental health care compared with Veterans in stable housing. American Indian/Alaska Native Veterans had reduced odds of video visits, yet similar rates of video care when compared to White Veterans. Low-income Veterans had lower odds of using primary video care yet slightly elevated rates of primary video care among those with at least one video visit when compared to Veterans enrolled at VA without special considerations., Conclusions: Variation in video care utilization patterns by type of care identified Veteran populations that might require greater resources and support to initiate and sustain video care use. Our data support service specific outreach to homeless and American Indian/Alaska Native Veterans., (© 2022 Health Research and Educational Trust. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Research Objective: To identify patient-reported social risk, behavioral, and health factors associated with emergency department (ED) utilization in high-risk Veterans Affairs (VA) patients., Data Sources: Patient survey, VA, Medicare data., Study Design: Prospective cohort study using multivariable logistic regression to identify patient-reported factors associated with all-cause and ambulatory care sensitive condition (ACSC)-related ED visits among VA patients at high risk for hospitalization or death., Data Extraction Methods: Patient-reported measures derived from a 2018 survey sent to 10,000 VA patients; clinical and demographic characteristics derived from VA data; ED visits derived from VA and Medicare claims., Principal Findings: Among 4680 survey respondents, 52.5% and 16.3% experienced an all-cause or ACSC-related ED visit in the following year, respectively. An ED visit was more likely among individuals with functional status limitations (6.0% points (Confidence Interval [CI] 0.017-0.103)) and transportation barriers (5.2% points [CI 0.005-0.099]). An ACSC-related ED visit was more likely among individuals with functional status limitations (3.2% points [CI 0.003-0.062]) and self-rated poorer health (7.4% points (CI 0.030-0.119) poor; 6.2% points (CI 0.029-0.096) fair; 4.1% points (CI 0.009-0.073) good; compared with excellent/very good)., Conclusions: Patient-reported factors not present in most electronic health records were significantly associated with future ED visits in high-risk VA patients., (Published 2022. This article is a U.S. Government work and is in the public domain in the USA.)

Dismantling racism in health care demands that medical education promote racial justice throughout all stages of medical training. However, racial bias can be fostered unintentionally, influencing the way we make decisions as clinicians with downstream effects on patient health and health equity. The development of any anti-racism curriculum in medicine requires the ability to identify racial bias in practices we have not previously recognized as explicitly racist or unjust. This has limited the creation and delivery of effective anti-racism education in health care., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Anti-Black racism is prevalent in medicine, and anti-racism training is needed in medical education. One such training is the Presence 5 for Racial Justice (P5RJ) Curriculum which covers evidence-based anti-racism communication strategies that promote health equity for Black patients. The P5RJ Curriculum was developed using feedback from clinicians and trainees with diversity, equity, and inclusion (DEI) experience. In this study, we identify themes in recommended anti-racism language and phrases that surveyed clinicians and trainees use to promote racial justice and health equity in clinical care for Black patients., Methods: Secondary analysis of survey responses to identify themes in qualitative data., Dataset: Survey responses of specific phrases for anti-racism communication based on P5RJ Curriculum feedback., Population Studied: N = 50 respondents (27 clinicians, 17 medical trainees, 6 unreported) recruited through convenience sampling and listservs of clinicians with DEI experience. An inductive qualitative analysis was performed on survey responses to identify emerging themes., Results: Emerging themes from survey responses reflected four communication practices: "Inquiry" was the predominant practice (59%), followed by "Empathy" (25%), "Statements of Allyship" (9%), and "Self-Accountability" (8%)., Conclusion: Inquiry and empathy may be predominant communication practices when addressing anti-Black racism in medicine. There is an opportunity to expand anti-racism communication tools with statements of self-accountability and allyship. Future research is necessary to analyze the patient voice on clinician communication practices that promote anti-racism in clinical care., (© 2023. The Author(s).)

Objectives: Patients with complex chronic conditions have varying multidisciplinary care needs and utilization patterns, which limit the effectiveness of initiatives designed to improve continuity of care (COC) and reduce utilization. Our objective was to categorize patients with complex chronic conditions into distinct groups by pattern of outpatient care use and COC to tailor interventions., Study Design: Observational cohort study from 2014 to 2015., Methods: We identified patients whose 1-year hospitalization risk was in at least the 90th percentile in 2014 who had a chronic gastrointestinal disease (cirrhosis, inflammatory bowel disease, chronic pancreatitis) as case examples of complex chronic disease. We described frequency of office visits, number of outpatient providers, and 2 COC measures (usual provider of care, Bice-Boxerman COC indices) over 12 months. We used latent profile analysis, a statistical method for identifying distinct subgroups, to categorize patients based on overall, primary care, gastroenterology, and mental health continuity patterns., Results: The 26,751 veterans in the cohort had a mean (SD) of 13.3 (8.6) office visits and 7.2 (3.8) providers in 2014. Patients were classified into 5 subgroups: (1) high gastroenterology-specific COC with mental health use; (2) high gastroenterology-specific COC without mental health use; (3) high overall utilization with mental health use; (4) low overall COC with mental health use; and (5) low overall COC without mental health use. These groups varied in their sociodemographic characteristics and risk for hospitalization, emergency department use, and mortality., Conclusions: Patients at high risk for health care utilization with specialty care needs can be grouped by varying propensity for health care continuity patterns.

Telehealth offers promising opportunities, but also challenges, for veterans experiencing homelessness - during the COVID-19 pandemic and beyond. Recent research found low utilization of clinical video visits among homeless veterans receiving a VA tablet, and having a substance use disorder (SUD) further reduced visit likelihood. Hence, this study sought to identify unique barriers to telehealth use among veterans experiencing homelessness with a SUD and design an intervention to promote adoption. This qualitative study was guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study's three phases included veteran interviews ( N  = 28) to identify barriers and facilitators to video telehealth use and propose intervention candidates, a provider expert panel to obtain feedback on interventions, and a focus group with veterans to complete the intervention. Finally, a prototype was designed using the intervention mapping approach. Veteran interviews revealed that barriers to video telehealth included complex physical and mental health issues, lack of digital literacy, and insufficient technical support. Together, veterans and experts proposed five intervention candidates. In the end, a veteran focus group combined two candidates, peer-led digital training and motivational interviewing. Intervention mapping was used to design a "stepped care" intervention that trains and activates veterans at all skill levels. This study demonstrates how inclusion of expert and veteran views led to development of a novel intervention to support and sustain video telehealth use among veterans experiencing homeless with SUD., Competing Interests: Conflict of InterestThe authors declare no competing interests., (© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022.)

Objective: In response to the coronavirus disease 2019 (COVID-19) pandemic, the Veterans Health Administration (VA) rapidly expanded virtual care (defined as care delivered by video and phone), raising concerns about technology access disparities (ie, the digital divide). Virtual care was somewhat established in primary care and mental health care prepandemic, but video telehealth implementation was new for most subspecialties, including cardiology. We sought to identify patient characteristics of virtual and video-based care users in VA cardiology clinics nationally during the first year of the COVID-19 pandemic., Materials and Methods: Cohort study of Veteran patients across all VA facilities with a cardiology visit January 1, 2019-March 10, 2020, with follow-up January 1, 2019-March 10, 2021. Main measures included cardiology visits by visit type and likelihood of receiving cardiology-related virtual care, calculated with a repeated event survival model., Results: 416 587 Veterans with 1 689 595 total cardiology visits were analyzed; average patient age was 69.6 years and 4.3% were female. Virtual cardiology care expanded dramatically early in the COVID-19 pandemic from 5% to 70% of encounters. Older, lower-income, and rural-dwelling Veterans and those experiencing homelessness were less likely to use video care (adjusted hazard ratio for ages 75 and older 0.80, 95% confidence interval (CI) 0.75-0.86; for highly rural residents 0.77, 95% CI 0.68-0.87; for low-income status 0.94, 95% CI 0.89-0.98; for homeless Veterans 0.85, 95% CI 0.80-0.92)., Conclusion: The pandemic worsened the digital divide for cardiology care for many vulnerable patients to the extent that video visits represent added value over phone visits. Targeted interventions may be necessary for equity in COVID-19-era access to virtual cardiology care., (Published by Oxford University Press on behalf of the American Medical Informatics Association 2022.)

Objective: Examine whether distribution of tablets to patients with access barriers influences their adoption and use of patient portals., Materials and Methods: This retrospective cohort study included Veterans Affairs (VA) patients (n = 28 659) who received a VA-issued tablet between November 1, 2020 and April 30, 2021. Tablets included an app for VA's My HealtheVet (MHV) portal. Veterans were grouped into 3 MHV baseline user types (non-users, inactive users, and active users) based on MHV registration status and feature use pre-tablet receipt. Three multivariable models were estimated to examine the factors predicting (1) MHV registration among non-users, (2) any MHV feature use among inactive users, and (3) more MHV use among active users post-tablet receipt. Differences in feature use during the 6 months pre-/post-tablet were examined with McNemar chi-squared tests of proportions., Results: In the 6 months post-tablet, 1298 (8%) non-users registered for MHV, 525 (24%) inactive users used at least one MHV feature, and 4234 (46%) active users increased feature use. Across veteran characteristics, there were differences in registration and feature use post-tablet, particularly among older adults and those without prior use of video visits (P < .01). Among active users, use of all features increased during the 6 months post-tablet, with the greatest differences in viewing prescription refills and scheduling appointments (P < .01)., Conclusion: Providing patients who experience barriers to in-person care with a portal-enabled device supports engagement in health information and management tasks. Additional strategies are needed to promote registration and digital inclusion among inactive and non-users of portals., (© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: To identify communication practices that clinicians can use to address racism faced by Black patients, build trusting relationships, and empower Black individuals in clinical care., Data Sources: Qualitative data (N = 112 participants, August 2020-March 2021) collected in partnership with clinics primarily serving Black patients in Leeds, AL; Memphis, TN; Oakland, CA; and Rochester, NY., Study Design: This multi-phased project was informed by human-centered design thinking and community-based participatory research principles. We mapped emergent communication and trust-building strategies to domains from the Presence 5 framework for fostering meaningful connection in clinical care., Data Collection Methods: Interviews and focus group discussions explored anti-racist communication and patient-clinician trust (n = 36 Black patients; n = 40 nonmedical professionals; and n = 24 clinicians of various races and ethnicities). The Presence 5 Virtual National Community Advisory Board guided analysis interpretation., Principal Findings: The emergent Presence 5 for Racial Justice (P5RJ) practices include: (1) Prepare with intention by reflecting on identity, bias, and power dynamics; and creating structures to address bias and structural determinants of health; (2) Listen intently and completely without interruption and listen deeply for the potential impact of anti-Black racism on patient health and interactions with health care; (3) Agree on what matters most by having explicit conversations about patient goals, treatment comfort and consent, and referral planning; (4) Connect with the patient's story, acknowledging socioeconomic factors influencing patient health and focusing on positive efforts; (5) Explore emotional cues by noticing and naming patient emotions, and considering how experiences with racism might influence emotions., Conclusion: P5RJ provides a framework with actionable communication practices to address pervasive racism experienced by Black patients. Effective implementation necessitates clinician self-reflection, personal commitment, and institutional support that offers time and resources to elicit a patient's story and to address patient needs., (© 2022 Health Research and Educational Trust.)

Background: Healthcare fragmentation may lead to adverse consequences and may be amplified among older, sicker patients with mental health (MH) conditions., Objective: To determine whether older Veterans with MH conditions have more fragmented outpatient non-MH care, compared with older Veterans with no MH conditions., Design: Retrospective cohort study using FY2014 Veterans Health Administration (VHA) administrative data linked to Medicare data., Participants: 125,481 VHA patients ≥ 65 years old who were continuously enrolled in Medicare Fee-for-Service Parts A and B and were at high risk for hospitalization., Main Outcome and Measures: The main outcome was non-MH care fragmentation as measured by (1) non-MH provider count and (2) Usual Provider of Care (UPC), the proportion of care with the most frequently seen non-MH provider. We tested the association between no vs. any MH conditions and outcomes using Poisson regression and fractional regression with logit link, respectively. We also compared Veterans with no MH condition with each MH condition and combinations of MH conditions, adjusting for sociodemographics, comorbidities, and drive-time to VHA specialty care., Key Results: In total, 47.3% had at least one MH condition. Compared to those without MH conditions, Veterans with MH conditions had less fragmented care, with fewer non-MH providers (IRR = 0.96; 95% CI: 0.96-0.96) and more concentrated care with their usual provider (OR = 1.08 for a higher UPC; 95% CI: 1.07, 1.09) in adjusted models. Secondary analyses showed that those with individual MH conditions (e.g., depression) had fewer non-MH providers (IRR range: 0.86-0.98) and more concentrated care (OR range: 1.04-1.20). A similar pattern was observed when examining combinations of MH conditions (IRR range: 0.80-0.90; OR range: 1.16-1.30)., Conclusions: Contrary to expectations, having a MH condition was associated with less fragmented non-MH care among older, high-risk Veterans. Further research will determine if this is due to different needs, underuse, or appropriate use of healthcare., (© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

This article examines the relative merit of augmenting an electronic health record (EHR)-derived predictive model of institutional long-term care (LTC) use with patient-reported measures not commonly found in EHRs. We used survey and administrative data from 3,478 high-risk Veterans aged ≥65 in the U.S. Department of Veterans Affairs, comparing a model based on a Veterans Health Administration (VA) geriatrics dashboard, a model with additional EHR-derived variables, and a model that added survey-based measures (i.e., activities of daily living [ADL] limitations, social support, and finances). Model performance was assessed via Akaike information criteria, C-statistics, sensitivity, and specificity. Age, a dementia diagnosis, Nosos risk score, social support, and ADL limitations were consistent predictors of institutional LTC use. Survey-based variables significantly improved model performance. Although demographic and clinical characteristics found in many EHRs are predictive of institutional LTC, patient-reported function and partnership status improve identification of patients who may benefit from home- and community-based services.

Importance: Veterans Affairs (VA) Home-Based Primary Care (HBPC) provides comprehensive, interdisciplinary primary care at home to patients with complex, chronic, disabling disease, but little is known about care fragmentation patterns and consequences among these patients., Objective: To examine outpatient care fragmentation patterns and subsequent acute care among HBPC-engaged patients at high risk of hospitalization or death., Design, Setting, and Participants: This retrospective cohort study included VA patients aged at least 65 years who were enrolled in the VA and Medicare, whose risk of hospitalization or death was in the top 10%, and who had at least 4 outpatient visits between October 1, 2013, and September 30, 2014. HBPC engagement was defined as having at least 2 HBPC encounters between July 1, 2014, and September 30, 2014. Data were analyzed from March 2020 to March 2022., Exposures: Two indices of outpatient care fragmentation: practitioner count and the Usual Provider Continuity Index (UPC), based on VA and non-VA health care use from October 1, 2013, to September 30, 2014. All care delivered by HBPC clinicians was analyzed as coming from a single practitioner., Main Outcomes and Measures: Emergency department (ED) visits and hospitalizations for ambulatory care sensitive conditions (ACSC) from VA records and Medicare claims from October 1, 2014, to September 30, 2015., Results: Among 8908 identified HBPC patients, 8606 (96.6%) were male, 1562 (17.5%) were Black, 249 (2.8%) were Hispanic, 6499 (73.0%) were White, 157 (1.8%) were other race or ethnicity, and 441 (5.0%) had unknown race or ethnicity; the mean (SD) age was 80.0 (9.02) years; patients had a mean (SD) of 11.25 (3.87) chronic conditions, and commonly had disabling conditions such as dementia (38.8% [n = 3457]). In adjusted models, a greater number of practitioners was associated with increased odds of an ED visit (adjusted odds ratio [aOR], 1.05 [95% CI, 1.03-1.07]) and hospitalization for an ACSC (aOR, 1.04 [95% CI, 1.02-1.06]), whereas more concentrated care with a higher UPC was associated with reduced odds of these outcomes (highest vs lowest tertile of UPC: aOR for ED visit, 0.77 [95% CI, 0.67-0.88], aOR for ACSC hospitalization, 0.78 [95% CI, 0.68-0.88])., Conclusions and Relevance: Among patients in HBPC, fragmented care was associated with more ED visits and ACSC hospitalizations. These findings suggest that consolidating or coordinating fragmented care may be a target for reducing preventable acute care.

Background: The ability of latent class models to identify clinically distinct groups among high-risk patients has been demonstrated, but it is unclear how healthcare data can inform group-specific intervention design., Objective: Examine how utilization patterns across latent groups of high-risk patients provide actionable information to guide group-specific intervention design., Design: Cohort study using data from 2012 to 2015., Patients: Participants were 934,787 patients receiving primary care in the Veterans Health Administration, with predicted probability of 12-month hospitalization in the top 10 th percentile during 2014., Main Measures: Patients were assigned to latent groups via mixture-item response theory models based on 28 chronic conditions. We modeled odds of all-cause mortality, hospitalizations, and 30-day re-hospitalizations by group membership. Detailed outpatient and inpatient utilization patterns were compared between groups., Key Results: A total of 764,257 (81.8%) of patients were matched with a comorbidity group. Groups were characterized by substance use disorders (14.0% of patients assigned), cardiometabolic conditions (25.7%), mental health conditions (17.6%), pain/arthritis (19.1%), cancer (15.3%), and liver disease (8.3%). One-year mortality ranged from 2.7% in the Mental Health group to 14.9% in the Cancer group, compared to 8.5% overall. In adjusted models, group assignment predicted significantly different odds of each outcome. Groups differed in their utilization of multiple types of care. For example, patients in the Pain group had the highest utilization of in-person primary care, with a mean (SD) of 5.3 (5.0) visits in the year of follow-up, while the Substance Use Disorder group had the lowest, with 3.9 (4.1) visits. The Substance Use Disorder group also had the highest rates of using services for housing instability (25.1%), followed by the Liver group (10.1%)., Conclusions: Latent groups of high-risk patients had distinct hospitalization and utilization profiles, despite having comparable levels of predicted baseline risk. Utilization profiles pointed towards system-specific care needs that could inform tailored interventions., (© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)