Veterans Health Administration Primary Care Research Articles

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

AbstractBackgroundThe 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.PurposeTo examine veteran‐reported broadband access, internet use, familiarity with, and preferences for telemedicine stratified by residential rurality.MethodsThree 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.FindingsAfter 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%).ConclusionsThough 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.

The impact of dual VA-Medicare use on a data-driven clinical management tool for older Veterans with multimorbidity.

Healthcare systems are increasingly turning to data-driven approaches, such as clustering techniques, to inform interventions for medically complex older adults. However, patients seeking care in multiple healthcare systems may have missing diagnoses across systems, leading to misclassification of resulting groups. We evaluated the impact of multi-system use on the accuracy and composition of multimorbidity groups among older adults in the Veterans Health Administration (VA). Eligible patients were VA primary care users aged ≥65 years and in the top decile of predicted 1-year hospitalization risk in 2018 (n = 558,864). Diagnoses of 26 chronic conditions were coded using a 24-month lookback period and input into latent class analysis (LCA) models. In a random 10% sample (n = 56,008), we compared the resulting model fit, class profiles, and patient assignments from models using only VA system data versus VA with Medicare data. LCA identified six patient comorbidity groups using VA system data. We labeled groups based on diagnoses with higher within-group prevalence relative to the average: Substance Use Disorders (7% of patients), Mental Health (15%), Heart Disease (22%), Diabetes (16%), Tumor (14%), and High Complexity (10%). VA with Medicare data showed improved model fit and assigned more patients with high accuracy. Over 70% of patients assigned to the Substance, Mental Health, High Complexity, and Tumor groups using VA data were assigned to the same group in VA with Medicare data. However, 41.9% of the Heart Disease group and 14.7% of the Diabetes group were reassigned to a new group characterized by multiple cardiometabolic conditions. The addition of Medicare data to VA data for older high-risk adults improved clustering model accuracy and altered the clinical profiles of groups. Accessing or accounting for multi-system data is key to the success of interventions based on empiric grouping in populations with dual-system use.

Headache Disorders in VHA Primary Care: Prevalence, Psychiatric Comorbidity, and Health Care Utilization

Military veterans are at increased risk for headache disorders compared to the general population, yet the prevalence and burden associated with headache disorders among veterans is not yet well understood. In this electronic medical record study, we examined the prevalence of headache disorders among veterans seen in a northeastern network of Veterans Health Administration (VHA) primary care during 2017–2018. We also examined rates of psychiatric comorbidity and health care utilization of veterans with headache disorders for the year following the date of the first headache code in the medical record. Of the total population of veterans in the network, 1.3% had a headache disorder and another 3.5% had a possible headache disorder. Migraine and chronic migraine represented the majority of cases. Posttraumatic stress disorder was the most frequent psychiatric comorbidity. Having a headache disorder was associated with higher rates of primary care, neurology, pain clinic, and mental health service use but not higher rates of emergency department or Whole Health (e.g., patient-centered, holistic health services) use. Prevalence findings are comparable to those previously found among veterans, but a substantial proportion of veterans may have been misdiagnosed. Veterans with headache disorders have high rates of psychiatric comorbidity and use several types of health services at higher rates. Findings highlight the need for interdisciplinary care and further education and support for primary care providers. Primary care settings that integrate evidence-based behavioral and Whole Health services may be an optimal way of providing more holistic care for headache disorders.

Brief, modular, transdiagnostic, cognitive-behavioral intervention for anxiety in veteran primary care: Development, provider feedback, and open trial.

Anxiety is undertreated in primary care, and most treatment provided is pharmacological rather than behavioral. Integrating behavioral health providers (BHPs) using the Primary Care Behavioral Health (PCBH) model can help address this treatment gap, but brief interventions suitable for use in PCBH practice are needed. We developed a modular, cognitive-behavioral anxiety intervention, Modular Anxiety Skills Training (MAST), that is evidence-based, transdiagnostic, feasible for PCBH, and patient-centered. MAST comprises up to six 30-min sessions emphasizing skills training. This article describes the rationale for and development of MAST as well as pilot work in the Veterans Health Administration (VA) to tailor and refine MAST for delivery to Veterans in VA primary care (MAST-V) to improve feasibility for VA BHPs and acceptability to Veterans. We used a convergent mixed-methods design with concurrent data collection. In phase one, we interviewed five BHPs to obtain feedback on the treatment manual. BHPs assessed MAST-V to be highly compatible with PCBH and provided suggestions to enhance feasibility. In phase two, we conducted an open trial in which six Veterans experiencing clinically significant anxiety received and provided feedback on all nine possible modules; we also assessed changes in mental health symptoms and functioning as well as treatment satisfaction and credibility. Veterans found MAST-V to be highly acceptable, and pre-post clinical outcomes were very promising with large effect sizes. Findings from this initial pilot provide preliminary support for the feasibility, acceptability, and efficacy of MAST-V and suggest further research with a randomized clinical trial is warranted. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Qualitative exploration of factors influencing women veterans' disordered eating symptoms and treatment preferences in VHA primary care.

Disordered eating symptoms (DES) are common among women veterans. While integrated primary care (IPC) may be an important venue to treat DES, little is known on patients' treatment preferences. The purpose of this study was to gather patient feedback on factors that may influence women veterans' DES and preferences for IPC services. We conducted semistructured interviews with purposefully sampled women who reported DES using the Eating Disorder Examination Questionnaire (EDE-Q). Twelve veterans (Mage = 54.0, SD = 8.38 years, 83.3% Caucasian, MEDE-Q Total = 3.87, SD = .77) enrolled in Veterans Health Administration primary care participated. Interviews gathered opinions on weight, appearance, and eating behaviors; experiences and preferences in addressing DES; and opinions on ways to improve their health care experience. Responses were analyzed via a directed content analysis that utilized a priori codes pertaining to health care utilization and compensatory health beliefs. Results revealed longstanding DES of various types, including those consistent with restriction, binge eating, and bulimia. However, past experiences with symptom management primarily involved self-management vs. clinical management. Participants also endorsed multiple perceived treatment facilitators and barriers. Among facilitators were strong provider relationships, patient-centered communications, personalized goal setting, and skill-focused whole-person care. Barriers included feeling judged by others (including providers), amotivation, and financial and time limitations. While IPC may be an important venue to identify and treat DES, multiple factors are likely to influence patients' use of these services. Future work should explore the potential for multidisciplinary IPC teams to address DES. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Rates and Correlates of Alcohol and Substance Use Among Women Veterans During the COVID-19 Pandemic: The Moderating Role of COVID-Specific Anxiety.

Mental health symptoms and substance use increased during the COVID-19 pandemic, and women may be disproportionately affected. Women report substantial mental health consequences, and women veterans may experience additional risks associated with military service. However, rates and correlates of substance use and consequences among women veterans are largely unknown. This study aimed to 1) report rates of substance use and consequences among women veterans; 2) identify correlates of substance use and consequences; and 3) test COVID-specific anxiety as a moderator. Women veterans (n=209) enrolled in Veterans Health Administration primary care completed measures of demographics, psychiatric and substance use disorder (SUD) diagnoses, current mental health symptoms, alcohol consumption, drug-related problems, and COVID-specific anxiety. Bivariate correlations evaluated demographics (age, race, employment, relationship status), psychiatric (depression/anxiety/posttraumatic stress disorder) and SUD diagnoses, and current mental health (depression/anxiety) symptoms as correlates of substance use outcomes. For any relationships between correlates and outcomes that were statistically significant, COVID-specific anxiety was tested as a moderator using the PROCESS macro in SPSS version 27. Any statistically significant moderation effects were further investigated using the PROCESS macro to estimate conditional effects. COVID-specific anxiety was mean-centered before analyses. Alpha was set to 0.05 for all statistical tests. Thirty-six percent screened positive for hazardous (Alcohol Use Disorder Identification Test-Consumption [AUDIT-C]≥3) alcohol consumption and 26% reported drug-related problems (18% low-level, 7% moderate-level, and 2% substantial per Drug Abuse Screening Test [DAST-10] scores). Drug-related problems were positively associated with COVID-specific anxiety, psychiatric diagnosis, SUD diagnosis, and depression symptoms. Alcohol consumption was significantly associated with SUD diagnosis. COVID-specific anxiety significantly moderated relationships between SUD diagnosis and both outcomes. Results help identify women veterans with SUD diagnoses and high COVID-specific anxiety as at risk for increased substance use during COVID-19 and suggest a potential intervention target (COVID-specific anxiety).

Research Priorities to Support Women Veterans' Reproductive Health and Health Care Within a Learning Health Care System.

Research Priorities to Support Women Veterans' Reproductive Health and Health Care Within a Learning Health Care System.

Changes in Primary Care Quality Associated With Implementation of the Veterans Health Administration Preventive Health Inventory

The COVID-19 pandemic caused significant disruptions in primary care delivery. The Veterans Health Administration (VHA) launched the Preventive Health Inventory (PHI) program-a multicomponent care management intervention, including a clinical dashboard and templated electronic health record note-to support primary care in delivering chronic disease care and preventive care that had been delayed by the pandemic. To describe patient, clinician, and clinic correlates of PHI use in primary care clinics and to examine associations between PHI adoption and clinical quality measures. This quality improvement study used VHA administrative data from February 1, 2021, through February 28, 2022, from a national cohort of 216 VHA primary care clinics that have implemented the PHI. Participants comprised 829 527 veterans enrolled in primary care in clinics with the highest and lowest decile of PHI use as of February 2021. Templated electronic health record note documenting use of the PHI. Diabetes and blood pressure clinical quality measures were the primary outcomes. Interrupted time series models were applied to estimate changes in diabetes and hypertension quality measures associated with PHI implementation. Low vs high PHI use was stratified at the facility level to measure whether systematic differences in uptake were associated with quality. A total of 216 primary clinics caring for 829 527 unique veterans (mean [SD] age, 64.1 [16.9] years; 755 158 of 829 527 [91%] were men) formed the study cohort. Use of the PHI varied considerably across clinics. The clinics in the highest decile of PHI use completed a mean (SD) of 32 997.4 (14 019.3) notes in the electronic health record per 100 000 veterans compared with 56.5 (35.3) notes per 100 000 veterans at the clinics in the lowest decile of use (P < .001). Compared with the clinics with the lowest use of the PHI, clinics with the highest use had a larger mean (SD) clinic size (12 072 [7895] patients vs 5713 [5825] patients; P < .001), were more likely to be urban (91% vs 57%; P < .001), and served more non-Hispanic Black veterans (16% vs 5%; P < .001) and Hispanic veterans (14% vs 4%; P < .001). Staffing did not differ meaningfully between high- and low-use clinics (mean [SD] ratio of full-time equivalent staff to clinician, 3.4 [1.2] vs 3.4 [0.8], respectively; P < .001). After PHI implementation, compared with the clinics with the lowest use, those with the highest use had fewer veterans with a hemoglobin A1c greater than 9% or missing (mean [SD], 6577 [3216] per 100 000 veterans at low-use clinics; 9928 [4236] per 100 000 veterans at high-use clinics), more veterans with an annual hemoglobin A1c measurement (mean [SD], 13 181 [5625] per 100 000 veterans at high-use clinics; 8307 [3539] per 100 000 veterans at low-use clinics), and more veterans with adequate blood pressure control (mean [SD], 20 582 [12 201] per 100 000 veterans at high-use clinics; 12 276 [6850] per 100 000 veterans at low-use clinics). This quality improvement study of the implementation of the VHA PHI suggests that higher use of a multicomponent care management intervention was associated with improved quality-of-care metrics. The study also found significant variation in PHI uptake, with higher uptake associated with clinics with more racial and ethnic diversity and larger, urban clinic sites.