Disparities in telemedicine use among Native Hawaiian and Pacific Islander individuals insured through Medicaid.

States have implemented policy changes to increase access to telemedicine services for individuals receiving Medicaid benefits. Native Hawaiian and Pacific Islander (NHPI) individuals experienced disproportionate harms from COVID-19 and have long experienced disparities in health care access compared with other racial and ethnic groups, making the issue of telemedicine access particularly salient for NHPI individuals on Medicaid. Utilizing 100% 2020-2021 Medicaid claims, we compared trends in telemedicine use between NHPI and non-Hispanic White individuals on Medicaid in Washington State and conducted a decomposition analysis to identify drivers of underlying disparities. In both years, NHPI individuals were 38%-39% less likely to use any telemedicine than White individuals after adjusting for patient- and area-level characteristics. Decomposition analysis revealed that most of this difference was due to differential effects of characteristics, rather than group differences in characteristics. Namely, several characteristics that were associated with increased telemedicine use had more muted associations for NHPI vs White individuals, such as English as the primary spoken language and female sex. These findings suggest the presence of limited acceptability of or group-specific barriers to telemedicine for NHPI individuals, including potential discrimination in being offered telemedicine visits. These issues should be understood and mitigated through close collaboration between health care leaders and NHPI communities.

Factors associated with primary care physician turnover in the VA.

Objectives: To quantify the association between primary care team workload satisfaction and primary care physician (PCP) turnover and examine potential mediation of workplace climate factors using survey and administrative data. Study Design: Longitudinal observational study using data from 2008 to 2016. Methods: The outcome variable was PCP turnover. The main explanatory variable was satisfaction with amount of workload. We included 7 additional workplace climate measures (eg, satisfaction with direct supervision) as mediators. We included characteristics of PCPs (eg, PCP years of experience, gender), salary, and clinic factors (eg, urban vs rural geography, community vs hospital based) as covariates. Results: US Department of Veterans Affairs (VA) PCPs working at 787 VA primary care clinics nationally were recruited for this study. Over the 9-year study period, 8362 unique PCPs were employed in the VA. The unadjusted mean quarterly turnover rate was 1.83%, and the mean (SD) workload satisfaction score was 3.58 ( 0.24) on a 5-point Likert scale over the study period. In adjusted analysis, a 1-point increase in workload satisfaction was associated with a decrease of 0.73 (95% CI, 0.36-1.10) percentage points in the probability of turnover in a calendar quarter. In the mediation analysis, we found that workload satisfaction impacted turnover through only 1 of the 7 workplace climate measures: satisfaction with direction by senior managers. Conclusions: Our study findings highlight the key role that achieving primary care workload satisfaction can play in reducing PCP turnover. Identification of direction by senior managers as an underlying mechanism is an important finding for strategic planning to mitigate PCP turnover.

Differences in healthcare costs over 10 years following discharge from military service by weight trajectory.

The prevalence of overweight and obesity among military personnel has increased substantially in the past two decades. Following military discharge many personnel can receive integrated health care from the Veterans Health Administration. Prior research related to the economic impacts of obesity has not examined health care costs following the transition into civilian life following military discharge. To address this evidence gap, this study sought to compare longitudinal costs over 10 years across weight categories among VA enrollees recently discharged from the military.

Identifying Patterns of Primary Care In-Person and Telemedicine Use in the Veterans Health Administration: A Latent Class Analysis.

BACKGROUND: The Veterans Health Administration increased synchronous telemedicine (video and telephone visits) in primary care in response to the COVID-19 pandemic. OBJECTIVE: Our objective was to determine veteran use patterns of in-person and telemedicine primary care when all modalities were available. DESIGN: A retrospective cohort analysis. We performed a latent class analysis of primary care visits over a 1-year period to identify veteran subgroup (i.e., class) membership based on amount of primary care use and modality used. Then, we used multinomial logistic regression with a categorical outcome to identify patient characteristics associated with class identification. PARTICIPANTS: A random national sample consisting of 564,580 primary care empaneled veterans in June 2021. MAIN MEASURES: Latent class membership. KEY RESULTS: We identified three latent classes: those with few primary care visits that were predominantly telephone-based (45%), intermediate number of visits of all modalities (50%), and many visits of all modalities (5%). In an adjusted model, characteristics associated with the "few" visits class, compared to the intermediate class, were older age, male sex, White race, further driving distance to primary care, higher Gagne, optimal internet speed, and unmarried status (OR 1.002, 1.52, 1.13, 1.004, 1.04, 1.05, 1.06, respectively; p < .05). Characteristics associated with membership in the "many" visits class, compared to the intermediate class, were Hispanic race, higher JEN Frailty Index and Gagne (OR 1.12, 1.11, 1.02, respectively; p < .05), and higher comorbidity by Care Assessment Need score quartile (Q2 1.73, Q3 2.80, Q4 4.12; p < 0.05). CONCLUSIONS: Veterans accessing primary care in-person or via telemedicine do so primarily in three ways: (1) few visits, predominantly telephone; (2) intermediate visits, all modalities, (3) many visits, all modalities. We found no groups of veterans receiving a majority of primary care through video.

Association Between a National Behavioral Weight Management Program and Veterans Affairs Health Expenditures.

OBJECTIVE: The association between participation in a behavioral weight intervention and health expenditures has not been well characterized. We compared Veterans Affairs (VA) expenditures of individuals participating in MOVE!, a VA behavioral weight loss program, and matched comparators 2 years before and 2 years after MOVE! initiation. METHODS: Retrospective cohort study of Veterans who had one or more MOVE! visits in 2008-2017 who were matched contemporaneously to up to 3 comparators with overweight or obesity through sequential stratification on an array of patient characteristics, including sex. Baseline patient characteristics were compared between the two cohorts through standardized mean differences. VA expenditures in the 2 years before MOVE! initiation and 2 years after initiation were modeled using generalized estimating equations with a log link and distribution with variance proportional to the standard deviation (gamma). RESULTS: MOVE! participants (n=499,696) and comparators (n=1,336,172) were well-matched, with an average age of 56, average body mass index of 35, and similar total VA expenditures in the fiscal year before MOVE! initiation ($9662 for MOVE! participants and $10,072 for comparators, standardized mean difference=-0.019). MOVE! participants had total expenditures that were statistically lower than matched comparators in the 6 months after initiation but modestly higher in the 6 months to 2 years after initiation, though differences were small in magnitude (1.0%-1.6% differences). CONCLUSIONS: The VA's system-wide behavioral weight intervention did not realize meaningful short-term health care cost savings for participants.

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

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

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

Importance: 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. Objective: To identify key factors associated with PHI use. Design, Setting, and Participants: 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. Exposure: Patient PHI receipt. Main Outcomes and Measures: 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. Results: 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. Conclusions and Relevance: 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.

Disability and Place of Death in Older Americans: The Moderating Role of Household Wealth.

CONTEXT: Home-based deaths are increasing, yet, how wealth influences where people die in the presence of disability remains unknown. OBJECTIVE: To examine place of death by help with (instrumental) activities of daily living (I/ADLs) at the end of life (EOL) and the modifying role of wealth. METHODS: Retrospective study of decedents from the Health and Retirement Study (n = 13,210). The exposure was intensity of help with I/ADLs at the EOL (no help/ lower intensity/higher intensity). The outcome was place of death (hospital/nursing home/home). Household wealth was an effect modifier with six categories: ≤$0, first-fifth quintile. Covariates included age, gender, race, marital status at the EOL, last place of residence, and receipt of hospice care. We used multinomial logit regression models with estimates reported as average marginal effects (AMEs). RESULTS: Mean age was 79.8 years; 53.2% were female. In the adjusted models, compared to not receiving help at EOL, receiving higher-intensity help was associated with a lower probability of dying in a hospital (AME = -3.8 percentage points (pp), 95% CI = -6.3 to -1.3) and a higher probability of dying at home (AME = 3.6 pp, 95% CI = 1.4-5.7). Associations were most pronounced among decedents in the top two wealth quintiles; older adults who received higher-intensity help had a lower probability of dying in a hospital (AME = -9.0 pp, 95% CI = -14.8 to -3.1), and a higher probability of dying at home (AME = 8.4 pp, 95% CI = 3.8-13.0). CONCLUSION: Receiving higher intensity of help with I/ADLs was associated with lower likelihood of dying in a hospital, and higher likelihood of dying at home, particularly among older adults with greater wealth.

Defining and Improving Outcomes Measurement for Virtual Care: Report from the VHA State-of-the-Art Conference on Virtual Care.

Virtual care, including synchronous and asynchronous telehealth, remote patient monitoring, and the collection and interpretation of patient-generated health data (PGHD), has the potential to transform healthcare delivery and increase access to care. The Veterans Health Administration (VHA) Office of Health Services Research and Development (HSR&D) convened a State-of-the-Art (SOTA) Conference on Virtual Care to identify future virtual care research priorities. Participants were divided into three workgroups focused on virtual care access, engagement, and outcomes. In this article, we report the findings of the Outcomes Workgroup. The group identified virtual care outcome areas with sufficient evidence, areas in need of additional research, and areas that are particularly well-suited to be studied within VHA. Following a rigorous process of literature review and consensus, the group focused on four questions: (1) What outcomes of virtual care should we be measuring and how should we measure them?; (2) how do we choose the "right" care modality for the "right" patient?; (3) what are potential consequences of virtual care on patient safety?; and (4) how can PGHD be used to benefit provider decision-making and patient self-management?. The current article outlines key conclusions that emerged following discussion of these questions, including recommendations for future research.

Real World Use of Anti-Obesity Medications and Weight Change in Veterans.

BACKGROUND: Anti-obesity medications (AOMs) can be initiated in conjunction with participation in the VA national behavioral weight management program, MOVE!, to help achieve clinically meaningful weight loss. OBJECTIVE: To compare weight change between Veterans who used AOM + MOVE! versus MOVE! alone and examine AOM use, duration, and characteristics associated with longer duration of use. DESIGN: Retrospective cohort study using VA electronic health records. PARTICIPANTS: Veterans with overweight or obesity who participated in MOVE! from 2008-2017. MAIN MEASURES: Weight change from baseline was estimated using marginal structural models up to 24 months after MOVE! initiation. The probability of longer duration of AOM use (≥ 180 days) was estimated via a generalized linear mixed model. RESULTS: Among MOVE! participants, 8,517 (1.6%) used an AOM within 24 months after MOVE! initiation with a median of 90 days of cumulative supply. AOM + MOVE! users achieved greater weight loss than MOVE! alone users at 6 (3.2% vs. 1.6%, p < 0.001), 12 (3.4% vs. 1.4%, p < 0.001), and 24 months (2.7% vs. 1.5%, p < 0.001), and had a greater probability of achieving ≥ 5% weight loss at 6 (38.8% vs. 26.0%, p < 0.001), 12 (43.1% vs. 28.4%, p < 0.001), and 24 months (40.4% vs. 33.3%, p < 0.001). Veterans were more likely to have ≥ 180 days of supply if they were older, exempt from medication copays, used other medications with significant weight-gain, significant weight-loss, or modest weight-loss side effects, or resided in the West North Central or Pacific regions. Veterans were less likely to have ≥ 180 days of AOM supply if they had diabetes or initiated MOVE! later in the study period. CONCLUSIONS: AOM use following MOVE! initiation was uncommon, and exposure was time-limited. AOM + MOVE! was associated with a higher probability of achieving clinically significant weight loss than MOVE! alone.

Inhaler Formulary Change in COPD and the Association with Exacerbations, Health Care Utilization, and Costs.

Rationale: Prescription formularies specify which medications are available to patients. Formularies change frequently, potentially forcing patients to switch medications for nonclinical indications (nonmedical switching). Nonmedical switching is known to impact disease control and adherence. The consequences of nonmedical switching have not been rigorously studied in COPD. Methods: We conducted a cohort study of Veterans with COPD on inhaler therapy in January 2016 when formoterol was removed from the Department of Veterans Affairs (VA) national formulary. A 2-point difference-in-differences analysis using multivariable negative binomial and generalized linear models was performed to estimate the association of the formulary change with patient outcomes in the 6 months before and after the change. Our primary outcome was the number of COPD exacerbations in 6 months, with secondary outcomes of total health care encounters and encounter-related costs in 6 months. Results: We identified 10,606 Veterans who met our inclusion criteria, of which 409 (3.9%) experienced nonmedical switching off formoterol. We did not identify a change in COPD exacerbations (-0.04 exacerbations; 95% confidence interval [CI] -0.12, 0.03) associated with the formulary change. In secondary outcome analysis, we did not observe a change in the number of health care encounters (-0.12 visits; 95% CI -1.00, 0.77) or encounter-related costs ($369; 95% CI -$1141, $1878). Conclusions: Among COPD patients on single inhaler therapy, nonmedical inhaler switches due to formulary discontinuation of formoterol were not associated with changes in COPD exacerbations, encounters, or encounter-related costs. Additional research is needed to confirm our findings in more severe disease and other settings.

Characteristics of Veterans With Depression Who Use the Veterans Choice Program of the Veterans Health Administration.

OBJECTIVE: The Veterans Choice Program (VCP) of the Veterans Health Administration (VHA) allowed eligible veterans to use their benefits with participating providers outside the VHA. The authors aimed to identify characteristics of veterans with depression who used or did not use mental health care through the VCP. METHODS: In this cross-sectional study, the authors analyzed secondary data from the national VHA Corporate Data Warehouse. VHA administrative data were linked with VCP claims to examine characteristics of VCP-eligible veterans with depression. The study sample included 595,943 unique veterans who were enrolled in the VHA before 2013, were eligible for the VCP in 2016, were alive in 2018, and had an assessed Patient Health Questionnaire-9 (PHQ-9) score or depressive disorder diagnosis documented in the VHA between 2016 and 2018. RESULTS: Veterans who used the VCP had lower medical comorbidity scores and lived in less socioeconomically disadvantaged counties, compared with veterans who received only VHA care. VCP veterans were also more likely to have a PHQ-9 score assessment and to have higher mean depression scores. Mean counts of annual mental health visits per 1,000 veterans were markedly higher for direct VHA care than for care provided via the VCP. As a percentage of the total counts of visits per 1,000 veterans across the VCP and VHA, residential programs and outpatient procedures were the services that were most frequently delivered through the VCP. CONCLUSIONS: Between 2016 and 2018, the VCP was used primarily to augment mental health care provided by the VHA, rather than to fill a gap in care.

Use of New Audio-Only Telemedicine Claim Modifiers.

Importance: Policymakers at both the state and federal levels face decisions about coverage of audio-only telemedicine amid a dearth of reliable data due to changes and variation in billing practices. Objective: To describe early trends in the use of new audio-only telemedicine claims modifiers 93 and FQ in Washington State, which were introduced to improve the designation and identification of audio-only telemedicine claims. Design, Setting, and Participants: This retrospective cohort study analyzed claims data from the Washington All-Payer Claims Database from January to November 2022. Participants included 4.3 million children and adults insured for at least 6 months in 2021 through public or private insurance plans. Exposures: Use of audio-only telemedicine was compared by age, race, ethnicity, insurance type, rurality, and Social Vulnerability Index. Main Outcomes and Measures: Audio-only telemedicine services were identified by claims appended by Current Procedural Terminology (CPT) code modifiers 93 or FQ or that included telephone-only CPT codes. Modifiers 93 and FQ denote audio-only telemedicine services for any reason and for behavioral health concerns, respectively. Results: In 2022, there were a total of 917 589 audio-only telemedicine services, of which 345 941 (38%) were appended with modifier FQ and 55 352 (6%) with modifier 93. Audio-only telemedicine services with these modifiers were most frequent for behavioral health diagnoses or routine prenatal and postpartum care. Individuals who used telemedicine exclusively via audio-only modality were more likely to be older (mean [SD] age, 46.0 [22.5] vs 42.0 [21.4] years) and insured by Medicare (41 758 of 196 225 [21%] vs 95 962 of 707 626 [14%]) than those who used at least 1 audiovisual service. Conclusions and Relevance: In this cohort study of a statewide all-payer claims database, modifiers 93 and FQ offered the important capability to identify audio-only telemedicine services beyond telephone-only CPT codes, but their uptake remained low. Audio-only telemedicine appears to offer an important means for access to behavioral health and perinatal care access, but further work is needed to study outcomes and quality of care.

Full practice authority and burnout among primary care nurse practitioners.

BACKGROUND: Full practice authority (FPA) improves clinical autonomy for nurse practitioners (NPs). Autonomy may reduce burnout. PURPOSE: Estimate the effect of changing from reduced or restricted practice authority to FPA on NP burnout. METHODS: In this quasi-experimental study, we compared NP burnout before (2016) and after (2018) a Veterans Health Administration (VHA) regulation authorized NP FPA. Burnout proportions were estimated for VHA facilities by aggregating responses to the VHA's All Employee Survey from 1,352 primary care NPs. DISCUSSION: Seventy-seven percent of facilities changed to FPA postregulation. Burnout was six points lower among NPs in facilities that changed to FPA compared to facilities that had FPA prior to the regulation; however, this association was not statistically significant. CONCLUSION: NPs are increasingly working under independent practice. While changing to FPA did not reduce NP burnout, this association may vary by health care setting or when burnout is measured for individuals or teams.

Association Between Capitated Payments and Preventive Care Among U.S. Adults.

Introduction: There is increasing interest in using capitation rather than fee for service to promote primary care and population health. The goal of this study was to examine the association between practice reimbursement mix (majority fee for service versus majority capitation versus other) and receipt of common preventive screening examinations and health counseling from 2012 to 2018. Methods: Using the National Ambulatory Medical Care Survey, a retrospective cross-sectional study of 24,864 visits with primary care clinicians among patients aged 18-75 years without a cancer diagnosis was conducted. The main dependent measures were age- and sex-appropriate receipt of breast cancer screening, osteoporosis screening, cervical cancer screening, chlamydia testing, colon cancer screening, diabetes screening, and hyperlipidemia screening as well as 3 health counseling items. Multivariable logistic regression was performed to assess the association between reimbursement mix and receipt of preventive care, adjusted for patient, visit, and practice characteristics. Results: Majority capitation reimbursement was associated with a greater likelihood of receiving breast cancer screening (AOR=2.11, 95% CI=1.16, 3.84, p=0.014) and osteoporosis screening (AOR=4.34, 95% CI=1.74, 10.8, p=0.0017) than majority fee-for-service or other reimbursement mixes. Reimbursement mix was not associated with the likelihood of receiving 9 other preventive care or health counseling services. Conclusions: Larger amounts of capitation reimbursement may improve some but not all aspects of preventive care compared with fee for service.

"Low-value" glycemic outcomes among older adults with diabetes cared for by primary care nurse practitioners or physicians: A retrospective cohort study.

BACKGROUND: "Low-value" healthcare is care without benefit to patients. Overly intensive glycemic control (i.e., HgbA1C < 7 %) can cause harm to patients at high risk of hypoglycemia, particularly among older adults with co-morbidities. It is unknown whether overly intensive glycemic control differs among patients with diabetes and at high-risk of hypoglycemia cared for by primary care nurse practitioners versus physicians. OBJECTIVE: This study examined patients with diabetes at high risk of hypoglycemia receiving primary care between Jan 2010 and Jan 2012, comparing patients reassigned to nurse practitioners to those reassigned to physicians after their previous physician separated from practice in an integrated United States health system. DESIGN: This was a retrospective cohort study. Study outcomes were collected at two years after reassignment to a new primary care provider. Outcomes were predicted probabilities of HgbA1C < 7 % using two-stage residual inclusion instrumental variable models, controlling for baseline confounders. SETTING: Primary care clinics within the United States Veterans Health Administration. PARTICIPANTS: 38,543 patients with diabetes at increased risk for hypoglycemia (age ≥ 65 years with renal disease, dementia, or cognitive impairment), who had their primary care physician leave the Veterans Health Administration and who were reassigned to a new primary care provider in the following year. RESULTS: Cohort patients were on average 76 years and 99 % men. Of these, 33,700 were reassigned to physicians and 4843 to nurse practitioners. After two years with their new provider, in adjusted models, patients reassigned to nurse practitioners had a -20.4 percentage-point [95 % CI -37.9 to -2.8] lower probability of two-year HgbA1C < 7 %. CONCLUSIONS: Aligned with prior studies on care quality, rates of overly intensive glycemic control may be appropriately lower among older patients with diabetes at high-risk of hypoglycemia, cared for by nurse practitioners than physicians. TWEETABLE ABSTRACT: Primary care nurse practitioners deliver equivalent or better rates of low-value diabetes care for older patients, compared to physicians.

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

Importance: 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. Objectives: 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. Design, Setting, and Participants: 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. Exposure: Templated electronic health record note documenting use of the PHI. Main Outcomes and Measures: 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. Results: 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). Conclusions and Relevance: 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.

Design and analysis of outcomes following SARS-CoV-2 infection in veterans.

BACKGROUND: Understanding how SARS-CoV-2 infection impacts long-term patient outcomes requires identification of comparable persons with and without infection. We report the design and implementation of a matching strategy employed by the Department of Veterans Affairs' (VA) COVID-19 Observational Research Collaboratory (CORC) to develop comparable cohorts of SARS-CoV-2 infected and uninfected persons for the purpose of inferring potential causative long-term adverse effects of SARS-CoV-2 infection in the Veteran population. METHODS: In a retrospective cohort study, we identified VA health care system patients who were and were not infected with SARS-CoV-2 on a rolling monthly basis. We generated matched cohorts within each month utilizing a combination of exact and time-varying propensity score matching based on electronic health record (EHR)-derived covariates that can be confounders or risk factors across a range of outcomes. RESULTS: From an initial pool of 126,689,864 person-months of observation, we generated final matched cohorts of 208,536 Veterans infected between March 2020-April 2021 and 3,014,091 uninfected Veterans. Matched cohorts were well-balanced on all 39 covariates used in matching after excluding patients for: no VA health care utilization; implausible age, weight, or height; living outside of the 50 states or Washington, D.C.; prior SARS-CoV-2 diagnosis per Medicare claims; or lack of a suitable match. Most Veterans in the matched cohort were male (88.3%), non-Hispanic (87.1%), white (67.2%), and living in urban areas (71.5%), with a mean age of 60.6, BMI of 31.3, Gagne comorbidity score of 1.4 and a mean of 2.3 CDC high-risk conditions. The most common diagnoses were hypertension (61.4%), diabetes (34.3%), major depression (32.2%), coronary heart disease (28.5%), PTSD (25.5%), anxiety (22.5%), and chronic kidney disease (22.5%). CONCLUSION: This successful creation of matched SARS-CoV-2 infected and uninfected patient cohorts from the largest integrated health system in the United States will support cohort studies of outcomes derived from EHRs and sample selection for qualitative interviews and patient surveys. These studies will increase our understanding of the long-term outcomes of Veterans who were infected with SARS-CoV-2.

Intensive care management for high-risk veterans in a patient-centered medical home - do some veterans benefit more than others?

BACKGROUND: Primary care intensive management programs utilize interdisciplinary care teams to comprehensively meet the complex care needs of patients at high risk for hospitalization. The mixed evidence on the effectiveness of these programs focuses on average treatment effects that may mask heterogeneous treatment effects (HTEs) among subgroups of patients. We test for HTEs by patients' demographic, economic, and social characteristics. METHODS: Retrospective analysis of a VA randomized quality improvement trial. 3995 primary care patients at high risk for hospitalization were randomized to primary care intensive management (n = 1761) or usual primary care (n = 1731). We estimated HTEs on ED and hospital utilization one year after randomization using model-based recursive partitioning and a pre-versus post-with control group framework. Splitting variables included administratively collected demographic characteristics, travel distance, copay exemption, risk score for future hospitalizations, history of hospital discharge against medical advice, homelessness, and multiple residence ZIP codes. RESULTS: There were no average or heterogeneous treatment effects of intensive management one year after enrollment. The recursive partitioning algorithm identified variation in effects by risk score, homelessness, and whether the patient had multiple residences in a year. Within each distinct subgroup, the effect of intensive management was not statistically significant. CONCLUSIONS: Primary care intensive management did not affect acute care use of high-risk patients on average or differentially for patients defined by various demographic, economic, and social characteristics. IMPLICATIONS: Reducing acute care use for high-risk patients is complex, and more work is required to identify patients positioned to benefit from intensive management programs.