Veterans Health Administration Primary Care Research Articles

Organizational Climate Related to Patient-Perpetrated Sexual Harassment: VA Primary Care Provider Perceptions.

Patient-perpetrated sexual harassment toward health care providers is common and adversely affects provider well-being, workforce outcomes, and patient care. Organizational climate for sexual harassment-shared perceptions about an organization's practices, policies, and procedures-is one of the strongest predictors of harassment prevalence. We conducted a pilot survey assessing provider perceptions of the Veterans Health Administration (VA)'s climate related to patient-perpetrated sexual harassment. Responding providers completed a survey assessing: (1) experiences with patient-perpetrated sexual harassment, (2) beliefs about VA's responses to patient-perpetrated sexual harassment of staff, and (3) perceptions of VA's organizational climate related to sexual harassment for each of 4 perpetrator-target pairings (patient-perpetrated harassment of staff, patient-perpetrated harassment of patients, staff-perpetrated harassment of staff, and staff-perpetrated harassment of patients). Respondents included 105 primary care providers (staff physicians, nurse practitioners, and physician assistants) at 15 facilities in the VA Women's Health Practice-Based Research Network. Seventy-one percent of responding providers reported experiencing patient-perpetrated sexual harassment in the past 6 months. Respondent perceptions of VA's responses to patient-perpetrated harassment of staff were mixed (eg, indicating that VA creates an environment where harassment is safe to discuss but that it fails to offer adequate guidance for responding to harassment). Respondents rated organizational climate related to patient-perpetrated harassment of staff as significantly more negative compared with climate related to other perpetrator-target pairings. Future work with representative samples is needed to corroborate these findings, which have potential ramifications for VA's ongoing efforts to create a safe, inclusive environment of care.

Differences by Sexual Orientation in Patient-Centered Care Outcomes for Veterans Utilizing Primary Care Services at the Veterans Health Administration.

Purpose: This study examined the differences by sexual orientation in patient-centered care outcomes (including health care experiences and health-related screening) of veterans utilizing Veterans Health Administration (VHA) primary care. Methods: VHA's adapted version of the Consumer Assessment of Healthcare Providers and Systems was used to compare the health care experience of primary care services among sexual minority (SM) and heterosexual veterans. Health care experience measures were dichotomized to "always" versus "less" and stratified by SM status. Health-related screening measures were dichotomous. Survey data were weighted using provided sample weights. Descriptive statistics were performed on sociodemographic characteristics. Logistic regression coefficients were represented as adjusted odds ratios (aORs). A total of 66,348 veterans were included in the analytic sample, of which 2.9% (n = 1,935) identified as SM. Sexual orientation was ascertained by self-report measures by veterans. Results: SM veterans were significantly younger (56.95 years vs. 63.43 years, p < 0.001), were less likely to report that their provider showed respect for what they had to say (aOR: 0.76; 95% confidence interval [CI]: 0.61-0.95), that they were asked about difficulties taking care of their health (aOR: 0.81; 95% CI: 0.67-0.96), and their provider listened carefully to them (aOR: 0.71; 95% CI: 0.57-0.87) compared to heterosexual veterans. Conclusion: Health care experiences differed between SM and heterosexual veterans who sought VHA primary care, suggesting the need to increase provider trainings, which may improve cultural competency and promote a more welcoming and inclusive environment.

Insomnia and unhealthy alcohol use in a National Sample of Women Veterans 50 years and older enrolled in the Veterans Health Administration

In this study, we examined rates of insomnia and co-occurring unhealthy alcohol use in a national sample of women Veterans age 50 years and older. We further explored associations between sociodemographic measures, insomnia-related clinical characteristics, and unhealthy alcohol use, and analyzed whether women with insomnia were more likely to report unhealthy alcohol use. Study aims were evaluated using national Veterans Health Administration (VA) electronic health records data from VA’s Corporate Data Warehouse. Data were extracted for women Veterans ≥50 years old with ≥1 VA primary care visit in each study year (2018: 3/11/18–3/10/19; 2020: 3/11/20–3/10/21; 2022: 3/11/22–3/10/23). Cases of insomnia were identified via diagnostic codes and prescription medications for insomnia. Unhealthy alcohol use was identified via Alcohol Use Disorders Identification Test-Consumption screening scores indicating unhealthy alcohol use. Annual sample sizes ranged from 240,420–302,047. Over the study timeframe, insomnia rates (diagnosis or medication) among women ≥50 years old ranged from 18.11–19.29%; co-occurring insomnia and unhealthy alcohol use rates ranged from 2.02–2.52%. Insomnia and unhealthy alcohol use rates were highest among women aged 50–59 years old. Depression and physical health comorbidities were consistently associated with insomnia; associations by race and ethnicity were less consistent. Compared to women without insomnia, women Veterans with either concurrent or unremitting insomnia were more likely to endorse unhealthy alcohol use. Findings signal a potential need for assessment and preventative efforts aimed at addressing insomnia and unhealthy alcohol use among women Veterans.

Comparing Quality, Costs, and Outcomes of VA and Community Primary Care for Patients with Diabetes.

The Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act expanded access to independent community providers outside the Veterans Health Administration (VA). Little is known how quality, costs, and outcomes of primary care received in the community compare to that of the VA. To compare quality, costs, and outcomes of community and VA-provided primary care for patients with diabetes over a 12-month episode. A cross-sectional study using VA administrative data and community care claims. Adjusted analyses were conducted using inverse probability weighted regression adjustment to balance patient characteristics. Veterans with diabetes receiving primary care in the VA or community. Quality measures included receipt of hemoglobin A1C tests, eye exams, microalbumin urine tests, and flu shots. Outcomes were measured by hospitalizations for an ambulatory care sensitive condition (ACSC). Costs were measured for VA and community outpatient care, inpatient care, and prescription drugs. There were 652,648 VA patients and 3650 community care patients. VA patients were less likely to be White, had shorter mean drive time to VA primary care, and were less likely to be rural than community care patients. In adjusted analyses, community care patients had significantly lower probability of receiving a hemoglobin A1C test, eye exam, microalbumin urine test, and flu shot compared to the VA group. There was no difference in probability of an ACSC hospitalization. Community care patients had higher mean total costs ($1741 [95% CI, $431, $3052]), driven by higher inpatient and prescription drug costs but lower emergency care costs than VA patients. Patients receiving community primary care had worse diabetes quality and higher costs than patients receiving VA primary care. There was no difference in health outcomes. Care provided by an integrated delivery system may have advantages in quality and value.

Primary Care Telehealth Initiation and Engagement Among Veterans at High Risk, 2019-2022

During the COVID-19 pandemic, the Veterans Health Administration (VHA) expanded telehealth infrastructure. Understanding telehealth initiation and sustained engagement could inform future resource allocation for high-need populations. To describe and examine primary care use, including initiation, use, and engagement factors, of telehealth modalities (telephone, video visits, and secure messaging) from 2020 to 2022. This cohort study was conducted among 1 383 070 patients in the 75th or higher percentile for 90-day risk of hospitalization or mortality (using previously validated Care Assessment Need scores) engaged in VHA primary care from March 11, 2019, to March 10, 2022. Patient sociodemographic characteristics (age, sex, race and ethnicity, and marital and housing status), health characteristics (chronic condition count, military service disability, serious mental illness, or substance use disorder diagnoses), geographic characteristics (driving distance to clinic and rural or urban location), and Federal Communications Commission-reported broadband speed among subgroups of patients at high risk categorized by telehealth use from 2020 to 2022. Primary care utilization by modality. A total of 1 383 070 patients at high risk were engaged in VHA primary care in March 2020 (median age, 73.0 years [IQR, 65-80 years]; 92.4% male; 77.7% regular telehealth users in 2019). With the onset of the COVID-19 pandemic from March 2020 to March 2021, 92.7% of patients at high risk (1 158 804 of 1 250 438 retained in care) became regular telehealth users. The following year, most patients continued as telehealth users (83.4% [942 151 of 1 129 683 retained]), including 38.2% retention of users at high risk newly engaged in 2020. Between 2019 and 2022 among those living and engaged in VHA primary care, adjusted exploratory multinomial logit models estimated that new telehealth users in 2020 (both sustained or only transiently engaged) were more often Black non-Hispanic individuals with greater comorbidity burdens than those who never engaged in telehealth use (Black non-Hispanic with new persistent telehealth use: adjusted relative risk ratio [ARR], 1.18 [95% CI, 1.16-1.20]; Black non-Hispanic with transient telehealth use: ARR, 1.11 [95% CI, 1.08-1.13]; ≥5 chronic conditions with new persistent telehealth use: ARR, 1.92 [95% CI, 1.88-1.96]; ≥5 chronic conditions with transient telehealth use: ARR, 1.43 [95% CI, 1.40-1.46]). This cohort study suggests that primary care telehealth initiation, use and sustained engagement differed among subgroups of patients at high risk throughout the COVID-19 pandemic. Those never or only transiently engaged with telehealth had lower illness burdens and were less likely to identify as members of racial or ethnic minority groups. Variation in telehealth use among subgroups of patients at high risk during this period could inform future resource allocation.

Relationships among age, motivation, and exercise among women Veterans

Physical activity (PA) and exercise are central to maintaining health, however research has shown steep declines in PA and exercise among women Veterans as they age. Though motivation may be an important contributor to initiating and sustaining exercise that may change across the lifespan, little is known about exercise motivation and its relation to age and exercise behavior among women Veterans. This cross-sectional study sought to describe exercise motivations, examine relationships among exercise motivations and age, and explore the degree to which age and motivation predict self-reported exercise behavior among women Veterans. We conducted a secondary data analysis from a regional mail survey of 197 women Veterans (mean age = 51; SD = 10.5) enrolled in Veterans Health Administration primary care in a northeastern region (N = 180 in analysis). Measures included demographics (age, body mass index), self-reported exercise motivation, and an estimate of average weekly exercise. Participants endorsed multiple motivators for exercise, most prominently fitness and health management. Age was significantly negatively related to amount of exercise and with socializing as an exercise motivation. After accounting for body mass index, age was a significant predictor of exercise behavior, and exercise motivations accounted for an additional 7.3% of variance in self-reported weekly exercise. Our results suggest that although motivation is a potentially important predictor of exercise, factors beyond motivation may better predict exercise in women Veterans. Further research is needed on personal and practical facilitators and barriers to exercise in this population.

Barriers to accessing care among rural women veterans: A qualitative study with veterans, peer specialists, and primary care professionals.

Rural women veterans are less likely than men and nonrural veterans to access Veterans Health Administration (VHA) care. This qualitative study describes rural women veterans' barriers to accessing care and explores whether participants viewed a peer specialist intervention as having the potential to facilitate access to care. We recruited rural veterans who identified as women with psychological distress and social needs, women peer specialists, and VHA primary care professionals working with rural veterans. We conducted two veteran focus groups, two peer specialist focus groups, and 11 individual Patient Aligned Care Team professional interviews using semistructured interview questions. One of the veteran focus groups was exclusive to veterans of color. We used a rapid qualitative data analysis approach to analyze the results. Data analysis revealed barriers affecting perceived access to services for rural women veterans, especially veterans of color, including transportation, finances, childcare, long travel distance to clinics, lack of access to gender-specific services, ineligibility for services, and lacking information about available resources. Participants also reported challenges accessing community services outside of the VHA. The rural women veterans reported a strong preference for gender-specific services. Leveraging existing VHA resources with rural women veterans may mitigate some of the identified barriers. In particular, participants agreed that increasing availability of peer specialists who are both women and veterans could bridge some perceived barriers to accessing care among rural women veterans. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Evaluation of regional variation in racial and ethnic differences in patient experience among Veterans Health Administration primary care users.

To evaluate racial and ethnic differences in patient experience among VA primary care users at the Veterans Integrated Service Network (VISN) level. We performed a secondary analysis of the VA Survey of Healthcare Experiences of Patients-Patient Centered Medical Home for fiscal years 2016-2019. We compared 28 patient experience measures (six each in the domains of access and care coordination, 16 in the domain of person-centered care) between minoritized racial and ethnic groups (American Indian or Alaska Native [AIAN], Asian, Black, Hispanic, Multi-Race, Native Hawaiian or Other Pacific Islander [NHOPI]) and White Veterans. We used weighted logistic regression to test differences between minoritized and White Veterans, controlling for age and gender. We defined meaningful difference as both statistically significant at two-tailed p < 0.05 with a relative difference ≥10% or ≤-10%. Within VISNs, we included tests of group differences with adequate power to detect meaningful relative differences from a minimum of five comparisons (domain agnostic) per VISN, and separately for a minimum of two for access and care coordination and four for person-centered care domains. We report differences as disparities/large disparities (relative difference ≥10%/≥ 25%), advantages (experience worse or better, respectively, than White patients), or equivalence. Our analytic sample included 1,038,212 Veterans (0.6% AIAN, 1.4% Asian, 16.9% Black, 7.4% Hispanic, 0.8% Multi-Race, 0.8% NHOPI, 67.7% White). Across VISNs, the greatest proportion of comparisons indicated disparities for three of seven eligible VISNs for AIAN, 6/10 for Asian, 3/4 for Multi-Race, and 2/6 for NHOPI Veterans. The plurality of comparisons indicated advantages or equivalence for 17/18 eligible VISNs for Black and 12/14 for Hispanic Veterans. AIAN, Asian, Multi-Race, and NHOPI groups had more comparisons indicating disparities by VISN in the access domain than person-centered care and care coordination. We found meaningful differences in patient experience measures across VISNs for minoritized compared to White groups, especially for groups with lower population representation.

The association between population health management tools and clinician burnout in the United States VA primary care patient-centered medical home

BackgroundTechnological burden and medical complexity are significant drivers of clinician burnout. Electronic health record(EHR)-based population health management tools can be used to identify high-risk patient populations and implement prophylactic health practices. Their impact on clinician burnout, however, is not well understood. Our objective was to assess the relationship between ratings of EHR-based population health management tools and clinician burnout.MethodsWe conducted cross-sectional analyses of 2018 national Veterans Health Administration(VA) primary care personnel survey, administered as an online survey to all VA primary care personnel (n = 4257, response rate = 17.7%), using bivariate and multivariate logistic regressions. Our analytical sample included providers (medical doctors, nurse practitioners, physicians’ assistants) and nurses (registered nurses, licensed practical nurses). The outcomes included two items measuring high burnout. Primary predictors included importance ratings of 10 population health management tools (eg. VA risk prediction algorithm, recent hospitalizations and emergency department visits, etc.).ResultsHigh ratings of 9 tools were associated with lower odds of high burnout, independent of covariates including VA tenure, team role, gender, ethnicity, staffing, and training. For example, clinicians who rated the risk prediction algorithm as important were less likely to report high burnout levels than those who did not use or did not know about the tool (OR 0.73; CI 0.61-0.87), and they were less likely to report frequent burnout (once per week or more) (OR 0.71; CI 0.60-0.84).ConclusionsBurned-out clinicians may not consider the EHR-based tools important and may not be using them to perform care management. Tools that create additional technological burden may need adaptation to become more accessible, more intuitive, and less burdensome to use. Finding ways to improve the use of tools that streamline the work of population health management and/or result in less workload due to patients with poorly managed chronic conditions may alleviate burnout. More research is needed to understand the causal directional of the association between burnout and ratings of population health management tools.

Patient-reported pain and physical health for acupuncture and chiropractic care delivered by Veterans Affairs versus community providers.

Acupuncture and chiropractic care are evidence-based pain management alternatives to opioids. The Veterans Health Administration (VA) provides this care in some VA facilities, but also refers patients to community providers. We aimed to determine if patient-reported outcomes differ for acupuncture and chiropractic care from VA versus community providers. We conducted an observational study using survey outcome data and electronic medical record utilization data for acupuncture and chiropractic care provided in 18 VA facilities or in community facilities reimbursed by VA. Study participants were users of VA primary care, mental health, pain clinic, complementary and integrative therapies, coaching or education services in 2018-2019. Patients received 1) 4+ acupuncture visits (N = 201) or 4+ chiropractic care visits (N = 178) from a VA or community provider from 60 days prior to baseline to six-months survey and 2) no acupuncture or chiropractic visits from 1 year to 60 days prior to baseline. Outcomes measured included patient-reported pain (PEG) and physical health (PROMIS) at baseline and six-month surveys. Multivariate analyses examined outcomes at six months, adjusting for baseline outcomes and demographics. In unadjusted analyses, pain and physical health improved for patients receiving community-based acupuncture, while VA-based acupuncture patients experienced no change. Unadjusted analyses also showed improvements in physical health, but not pain, for patients receiving VA-based chiropractic care, with no changes for community-based chiropractic care patients. Using multivariate models, VA-based acupuncture was no different from community-based acupuncture for pain (-0.258, p = 0.172) or physical health (0.539, p = 0.399). Similarly, there were no differences between VA- and community-based chiropractic care in pain (-0.273, p = 0.154) or physical health (0.793, p = 0.191). Acupuncture and chiropractic care were associated with modest improvements at six months, with no meaningful differences between VA and community providers. The choice to receive care from VA or community providers could be based on factors other than quality, like cost or convenience.

Peer specialist-led interventions in primary care at the Veterans Health Administration: An integrative review.

The Veterans Health Administration (VHA) currently employs over 1,300 peer specialists-veterans with lived experience of mental illness who are in recovery and have been trained to provide support to other veterans experiencing these issues. VHA peer specialists have largely been employed in behavioral health settings. In 2014, VHA began to employ peer specialists in primary care settings via the peers in Patient Aligned Care Team (PACT) program, and congressional legislation was passed to expand this program in 2022. In light of this expansion, it is important to evaluate the effectiveness of interventions provided in the Peers in PACT program. This integrative review of studies of peer specialist-led interventions in VHA primary care includes 13 articles with 11 unique studies represented in these articles. These studies targeted mental health symptoms, substance use, health/well-being, and health/treatment engagement. Seven described single-arm studies, three described two-arm studies with a treatment as usual control group, and three described two-arm studies with an active control group. The majority of these studies demonstrated statistically significant improvements on at least one main outcome. Seven studies also included qualitative interviews with veterans; several common themes emerged, including the importance of working with a veteran peer with shared lived experiences, and finding peers helpful in providing accountability, motivation, encouragement, emotional support, resources, and assistance navigating VA health care. Recommendations for future research on the peers in PACT program are discussed, including a need for more RCTs with active controls. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Factors Associated With Use of the Preventive Health Inventory in US Veterans

The COVID-19 pandemic caused significant declines in the quality of preventive and chronic disease care. The Veterans Health Administration (VHA) used the Preventive Health Inventory (PHI), a multicomponent care management intervention, to catch up on care disrupted by the pandemic. To identify key factors associated with PHI use. This cohort study of veterans receiving primary care used administrative data from national VHA primary care clinics for February 1, 2021, through February 1, 2022. Patient PHI receipt. The main outcomes were patient, practitioner, and clinic factors associated with PHI receipt. Binomial generalized linear models with fixed effects for clinic were used to analyze factors associated with receipt of PHI. Least absolute shrinkage and selection operator procedures were used for variable selection. A total of 4 358 038 veterans (mean [SD] age, 63.7 [16.0] years; 90% male; 76% non-Hispanic White) formed the study cohort, of whom 389 757 (9%) received the PHI. Veterans who received the PHI had higher mean Care Assessment Need (CAN) scores, which indicate the likelihood of hospitalization or death within 1 year (mean [SD], 51.9 [28.6] vs 47.2 [28.6]; standardized mean difference [SMD], -0.16). They were also more likely to live in urban areas (77% vs 64%; SMD, 0.28) and have a shorter drive distance to primary care (mean [SD], 13.2 [12.4] vs 15.7 [14.6] miles; SMD, 0.19). The mean outpatient use was higher among PHI recipients compared with non-PHI recipients (mean [SD], 18.4 [27.8] vs 15.1 [24.1] visits; SMD, -0.13). In addition, veterans with primary care practitioners with higher caseloads were more likely to receive the PHI (mean [SD], 778 [231] vs 744 [249] patients; SMD, -0.14), and they were more likely to be seen at larger clinics (mean [SD], 9670 [6876] vs 8786 [6892] patients; SMD, -0.13). Prior outpatient use and CAN score were associated with PHI receipt in the final model. In this cohort study of the VHA's PHI, patients with higher CAN scores and more outpatient use in the previous year were more likely to receive the PHI. This study identifies potential intervention points to improve care coordination for veterans.

Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records.

Efforts to develop an individualized treatment rule (ITR) to optimize major depressive disorder (MDD) treatment with antidepressant medication (ADM), psychotherapy, or combined ADM-psychotherapy have been hampered by small samples, small predictor sets, and suboptimal analysis methods. Analyses of large administrative databases designed to approximate experiments followed iteratively by pragmatic trials hold promise for resolving these problems. The current report presents a proof-of-concept study using electronic health records (EHR) of n = 43,470 outpatients beginning MDD treatment in Veterans Health Administration Primary Care Mental Health Integration (PC-MHI) clinics, which offer access not only to ADMs but also psychotherapy and combined ADM-psychotherapy. EHR and geospatial databases were used to generate an extensive baseline predictor set (5,865 variables). The outcome was a composite measure of at least one serious negative event (suicide attempt, psychiatric emergency department visit, psychiatric hospitalization, suicide death) over the next 12 months. Best-practices methods were used to adjust for nonrandom treatment assignment and to estimate a preliminary ITR in a 70% training sample and to evaluate the ITR in the 30% test sample. Statistically significant aggregate variation was found in overall probability of the outcome related to baseline predictors (AU-ROC = 0.68, S.E. = 0.01), with test sample outcome prevalence of 32.6% among the 5% of patients having highest predicted risk compared to 7.1% in the remainder of the test sample. The ITR found that psychotherapy-only was the optimal treatment for 56.0% of patients (roughly 20% lower risk of the outcome than if receiving one of the other treatments) and that treatment type was unrelated to outcome risk among other patients. Change in aggregate treatment costs of implementing this ITR would be negligible, as 16.1% fewer patients would be prescribed ADMs and 2.9% more would receive psychotherapy. A pragmatic trial would be needed to confirm the accuracy of the ITR.

Behavioral weight management use in the Veterans Health Administration: Sociodemographic and health correlates

IntroductionOver 40 % of United States Veterans Health Administration (VHA) primary care patients have obesity. Few patients use VHA's flagship weight management program, MOVE! and there is little information on other behavioral weight management program use. MethodsThe national United States cohort included over 1.5 million primary care patients with obesity, age 18–79, based on VHA administrative data. Gender stratified multivariable logistic regression identified correlates of weight management use in the year after a patient's first primary care appointment (alpha of 0.05). Weight management use was defined as MOVE! or nutrition clinic visits. ResultsThe cohort included 121,235 women and 1,521,547 men with 13 % and 7 % using weight management, respectively. Point estimates for specific correlates of use were similar between women and men, and across programs. Black patients were more likely to use weight management than White patients. Several physical and mental health diagnoses were also associated with increased use, such as sleep apnea and eating disorders. Age and distance from VHA were negatively associated with weight management use. ConclusionsWhen assessing multiple types of weight management visits, weight management care in VHA appears to be used more often by some populations at higher risk for obesity. Other groups may need additional outreach, such as those living far from VHA. Future work should focus on outreach and prevention efforts to increase overall use rates. This work could also examine the benefits of tailoring care for populations in greatest need.

"The Only Reason I Am Willing to Do It at All": Evaluation of VA's SUpporting Primary care Providers in Opioid Risk reduction and Treatment (SUPPORT) Center.

Medication treatment for opioid use disorder (MOUD) is effective and recommended for outpatient settings. We implemented and evaluated the SUpporting Primary care Providers in Opioid Risk reduction and Treatment (SUPPORT) Center-a quality improvement partnership to implement stepped care for MOUD in 2 Veterans Health Administration (VA) primary care (PC) clinics. SUPPORT provided a dedicated clinical team (nurse practitioner prescriber and social worker) and stepped care ([1] identification, assessment, referral; [2] MOUD induction; [3] stabilization; and [4] maintenance supporting PC providers [PCPs] to initiate and/or sustain treatment) coupled with ongoing internal facilitation (consultation, trainings, informatics support). Qualitative interviews with stakeholders (PCPs and patients) and meeting notes identified barriers and facilitators to implementation. Electronic health record and patient tracking data measured reach, adoption, and implementation outcomes descriptively. SUPPORT's implementation barriers included the need for an X-waiver, VA's opioid tapering policies, patient and PCP knowledge gaps and PCP discomfort, and logistical compatibility and sustainability challenges for clinics. SUPPORT's dedicated clinical staff, ongoing internal facilitation, and high patient and PCP satisfaction were key facilitators. SUPPORT (January 2019 to September 2021) trained 218 providers; 63 received X-waivers, and 23 provided MOUD (10.5% of those trained). SUPPORT provided care to 167 patients, initiated MOUD for 33, and provided education and naloxone to 72 (all = 0 in year before launch). SUPPORT reached many PCPs and patients and resulted in small increases in MOUD prescribing and high levels of stakeholder satisfaction. Dedicated clinical staff was key to observed successes. Although resource-intensive, SUPPORT offers a potential model for outpatient MOUD provision.

Characteristics of Veterans Experiencing Homelessness using Telehealth for Primary Care Before and After COVID-19 Pandemic Onset

BackgroundThe COVID-19 pandemic expanded telehealth use across healthcare systems, including the Veterans Health Administration (VA). Little is known about how large-scale telehealth rollout affected access to primary care for patients experiencing homelessness.ObjectiveTo examine the extent to which homeless-experienced veterans used telehealth services in primary care and to characterize users before and after the onset of the COVID-19 pandemic.DesignRetrospective cohort study, 3/16/2019–3/15/2022.Participants394,731 veterans with homelessness diagnoses nationally using 4,068,109 primary care visits.Main MeasuresThe outcomes were use of 1 + telehealth visits (video, phone, secure messaging) for primary care during each year. Through multivariable regression models, we examined associations between telehealth use, patient characteristics (e.g., age, sex, race-ethnicity, comorbidity), and VA homeless services use (e.g., homeless-tailored primary care (HPACT), permanent supportive housing).Key ResultsCompared to pre-pandemic, telehealth in primary care among homeless-experienced veterans increased substantially 2 years post-pandemic (video: 1.37% versus 20.56%, phone: 60.74% versus 76.58%). Secure messaging was low over time (1.57–2.63%). In adjusted models, video users were more likely to be young (65 + years: OR = 0.43, CI: 0.42–0.44), women (OR = 1.74, CI: 1.70–1.78), Black (OR = 1.14, CI: 1.12–1.16), Hispanic (OR = 1.34, CI: 1.30–1.38), and with more comorbidities (2 + on the Charlson Comorbidity Index; OR = 1.16, CI: 1.14–1.19), compared to video non-users. HPACT patients were less likely to use video (OR = 0.68, CI: 0.66–0.71) than other primary care patients. This was not observed among users of other VA homeless services.ConclusionsDespite decreased access to health information technology and low pre-pandemic telehealth use, veterans experiencing homelessness still sustained high use of telehealth in primary care post-pandemic. Women and racial-ethnic minorities had higher video uptake proportionately, suggesting that telehealth may address access disparities among these homeless-experienced patient groups. Identifying and targeting organizational characteristics (e.g., HPACT users) that predict telehealth use for improvement may be key to increasing adoption among VA primary care patients experiencing homelessness.

Implementation of Video Blood Pressure Visits in the Veterans Health Administration.

Introduction: Almost half of veterans (44.6%) seen in the U.S. Department of Veterans Affairs outpatient setting are diagnosed with hypertension (HTN). Because of the widespread nature of HTN, use of virtual visits has the potential to improve blood pressure (BP) management. This evaluation assessed the effectiveness of video blood pressure visits (VBPVs) in the management of HTN in veterans enrolled in Veterans Health Administration primary care. Methods: The program was implemented within the existing veteran-centered medical home. VBPVs are scheduled where the nurse observes veterans taking their BP and provides teaching or counseling. A national training curriculum was delivered to local nurse champions through Microsoft Teams. We analyzed improvement in BP over a 2-year period. We also captured actions taken by nurses during the VBPV by searching the electronic notes. Ratings of training and comments were summarized using feedback forms completed after training. Results: In total, 81,476 veterans participated in VBPVs over 2 years. Of those, 44,682 veterans had an existing ICD-10 code related to HTN. Of the 18,078 veterans who had a pre- and post-VBPV BP, the average change to systolic measurement was -10.6 mm Hg (range -82 to 78). Average change to diastolic measurement was -4.61 mm Hg (range -59 to 55). Most interventions addressed medication management (77%). Nurses' evaluations of the program were positive. Conclusions: Video visits provide reliable and convenient veteran-centered care. Such visits enable care when unanticipated interruptions occur such as the coronavirus disease 2019 pandemic. In addition to medication management, nurse-led interventions such as counseling on lifestyle changes can be effective in HTN management.

Understanding rural-urban differences in veterans' internet access, use and patient preferences for telemedicine.

The expansion of telemedicine (e.g., telephone or video) in the Veterans Health Administration (VA) raises concerns for health care disparities between rural and urban veterans. Factors impeding telemedicine use (e.g., broadband, digital literacy, age) disproportionally affect rural veterans. To examine veteran-reported broadband access, internet use, familiarity with, and preferences for telemedicine stratified by residential rurality. Three hundred fifty veterans with a VA primary care visit in March 2022 completed a 30-min computer-assisted telephone interview. The sampling design stratified veterans by residential rurality (i.e., rural or urban) and how primary care was delivered (i.e., in-person or by video). Counts and weighted percentages are reported. After accounting for survey weights, 96.2% of respondents had in-home internet access and 89.5% reported functional connection speeds. However, rural- compared to urban-residing veterans were less likely to experience a telemedicine visit in the past year (74.1%vs. 85.2%; p = 0.02). When comparing telemedicine to in-person visits, rural versus urban-residing veterans rated them not as good (45.3%vs. 36.8%), just as good (51.1%vs. 53.1%), or better (3.5%vs. 10.0%) (p = 0.05). To make telemedicine visits easier, veterans, regardless of where they lived, recommended technology training (46.4%), help accessing the internet (26.1%), or provision of an internet-enabled device (25.9%). Though rural-residing veterans were less likely to experience a telemedicine visit, the same actionable facilitators to improve telemedicine access were reported regardless of residential rurality. Importantly, technology training was most often recommended. Policy makers, patient advocates, and other stakeholders should consider novel initiatives to provide training resources.

Depression care quality among patients with solid tumor cancers detected to have depression in Veterans Health Administration primary care clinics.

Patients with cancer, especially advanced cancer, experience depression at high rates. We aimed to evaluate the quality of depression care received by patients with solid tumor cancer and advanced solid tumor cancer in Veterans Affairs (VA) primary care clinics. This is a retrospective cohort study of patients seen in 82 VA primary care clinics who newly screened positive for depression on the Patient Health Questionnaire (PHQ-2). Outcomes included timely follow-up within 84 or 180 days (3+ mental health specialty, 3+ psychotherapy, or 3+ primary care visits with depression diagnosis codes) and minimum treatment within 1 year (60+ days antidepressants prescribed, 4+ mental health specialty visits, or 3+ psychotherapy visits). 608,042 individuals were seen in VA primary care clinics during this period; 49,839 patients (8.2%) had solid tumor cancer and 9,278 (1.5%) had advanced or poor-prognosis solid tumor cancer. For 686 observations of patients with cancer and new depression, rates of appropriate follow-up were 22.3% within 84 days and 38.2% within 180 days. For 73 observations of patients with advanced or poor-prognosis cancer and new depression, rates of appropriate follow-up were 21.9% within 84 days and 34.3% within 180 days. Rates of minimum treatment within 1 year were 68.4% and 64.4% for patients with cancer and patients with advanced or poor-prognosis cancer, respectively. Quality of timely depression management is low in patients with solid tumor cancers. Even in health systems with well-integrated mental health services, care gaps remain for patients with cancer and depression. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Location and Types of Treatment for Prostate Cancer After the Veterans Choice Program Implementation

The Veterans Choice Program (VCP) was implemented in 2014 to help veterans gain broader access to specialized care outside of the Veterans Health Administration (VHA) facilities by providing them with purchased community care (CC). To describe the prevalence and patterns in VCP-funded purchased CC after the implementation of the VCP among veterans with prostate cancer. This cohort study used VHA administrative data on veterans with prostate cancer diagnosed between January 1, 2015, and December 31, 2018. These veterans were regular VHA primary care users. Analyses were performed from March to July 2023. Driving distance (in miles) from residence to nearest VHA tertiary care facility. The location (VHA or purchased CC) in which treatment decisions were made was ascertained by considering 3 factors: (1) location of the diagnostic biopsy, (2) location of most of the postdiagnostic prostate-specific antigen laboratory testing, and (3) location of most of the postdiagnostic urological care encounters. The main outcome was receipt of definitive treatment and proportion of purchased CC by treatment type (radical prostatectomy [RP], radiotherapy [RT], or active surveillance) and by distance to nearest VHA tertiary care facility. Quality was evaluated based on receipt of definitive treatment for Gleason grade group 1 prostate cancer (low risk/limited treatment benefit by guidelines). The cohort included 45 029 veterans (mean [SD] age, 67.1 [6.9] years) with newly diagnosed prostate cancer; of these patients, 28 866 (64.1%) underwent definitive treatment. Overall, 56.8% of patients received definitive treatment from the purchased CC setting, representing 37.5% of all RP care and 66.7% of all RT care received during the study period. Most patients who received active surveillance management (92.5%) remained within the VHA. Receipt of definitive treatment increased over the study period (from 5830 patients in 2015 to 9304 in 2018), with increased purchased CC for patients living farthest from VHA tertiary care facilities. The likelihood of receiving definitive treatment of Gleason grade group 1 prostate cancer was higher in the purchased CC setting (adjusted relative risk ratio, 1.79; 95% CI, 1.65-1.93). This cohort study found that the percentage of veterans receiving definitive treatment in VCP-funded purchased CC settings increased significantly over the study period. Increased access, however, may come at the cost of low care quality (overtreatment) for low-risk prostate cancer.