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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

Patient Enrollment Growth and Burnout in Primary Care at the Veterans Health Administration

BACKGROUND

Patient enrollment levels at Veterans Health Administration (VHA) facilities change based on Veteran demand for care, potentially affecting demands on staff. Effects on burnout in the primary care workforce associated with increases or decreases in enrollment are unknown.

OBJECTIVE

Estimate associations between patient enrollment and burnout.

DESIGN

In this serial cross-sectional study, VHA patient enrollment and workforce data from 2014 to 2018 were linked to burnout estimates for 138 VHA facilities. The VHA's annual All Employee Survey provided burnout estimates.

PARTICIPANTS

A total of 82,421 responses to the 2014-2018 All Employee Surveys by primary care providers (PCPs), including physicians, nurse practitioners, and physician assistants; nurses; clinical associates; and administrative clerks were included. Respondents identified as patient-aligned care team members.

MAIN MEASURES

Independent variables were (1) the ratio of enrollment to PCPs at VHA facilities and (2) the year-over-year change in enrollment per PCP. Burnout was measured as the annual proportion of staff at VHA facilities who reported emotional exhaustion and/or depersonalization. Each primary care role was analyzed independently.

KEY RESULTS

Overall enrollment decreased from 1553 enrollees per PCP in 2014 to 1442 enrollees per PCP in 2018 across VHA facilities. Forty-three facilities experienced increased enrollment (mean of 1524 enrollees/PCP in 2014 to 1668 in 2018) and 95 facilities experienced decreased enrollment (mean of 1566 enrollees/PCP in 2014 to 1339 in 2018). Burnout decreased for all primary care roles. PCP burnout was highest, decreasing from a facility-level mean of 51.7% in 2014 to 43.8% in 2018. Enrollment was not significantly associated with burnout for any role except nurses, for whom a 1% year-over-year increase in enrollment was associated with a 0.2 percentage point increase in burnout (95% CI: 0.1 to 0.3).

CONCLUSIONS

Studies assessing changes in organizational-level predictors are rare in burnout research. Patient enrollment predicted burnout only among nurses in primary care.

BMI Trends for Veterans Up to 10 Years After VA Enrollment Following Military Discharge

BACKGROUND

Obesity (body mass index [BMI]≥30kg/m2) among US adults has tripled over the past 45 years, but it is unclear how this population-level weight change has occurred.

OBJECTIVE

We sought to identify distinct long-term BMI trajectories and examined associations with demographic and clinical characteristics.

DESIGN

The design was latent trajectory modeling over 10 years of a retrospective cohort. Subgroups were identified via latent class growth mixture models, separately by sex. Weighted multinomial logistic regressions identified factors associated with subgroup membership.

PARTICIPANTS

Participants were a retrospective cohort of 292,331 males and 62,898 females enrolled in VA.

MAIN MEASURES

The main outcome measure was 6-month average VA-measured BMI over the course of 10 years. Additional electronic health record measures on demographic, clinical, and services utilization characteristics were also used to characterize latent trajectories.

KEY RESULTS

Four trajectories were identified for men and for women, corresponding to standard BMI categories "normal weight" (BMI <25), "overweight" (BMI 25-29.99), and "with obesity" (BMI ≥30): "normal weight" and increasing (males: 28.4%; females: 22.8%), "overweight" and increasing (36.4%; 35.6%), "with obesity" and increasing (33.6%; 40.0%), and "with obesity" and stable (males: 1.6%) or decreasing (females: 1.6%). Race, ethnicity, comorbidities, mental health diagnoses, and mental health service utilization discriminated among classes.

CONCLUSIONS

BMI in the 10 years following VA enrollment increased modestly. VA should continue prioritizing weight management interventions to the large number of veterans with obesity upon VA enrollment, because the majority remain with obesity.

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.

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.

Standard nurse phone triage versus tele-emergency care pilot on Veteran use of in-person acute care: An instrumental variable analysis

OBJECTIVES

Use of acute care telemedicine is growing, but data on quality, utilization, and cost are limited. We evaluated a Veterans Affairs (VA) tele-emergency care (tele-EC) pilot aimed at reducing reliance on out-of-network (OON) emergency department (ED) care, a growing portion of VA spending. With this service, an emergency physician virtually evaluated selected Veterans calling a nurse triage line.

METHODS

Calls to the triage line occurring January-December 2021 and advised to seek care acutely within 24 h were included. We described tele-EC user characteristics, common triage complaints, and patterns in referral to and management by tele-EC. The primary outcome was acute care visits (ED, urgent care, and hospitalizations at VA and OON sites) within 7 days of the index call. Secondary outcomes included mortality, OON acute care spending, and the effect of tele-EC visit modality (phone vs. video). We used both standard regression and instrumental variable (IV) analysis, using the tele-EC physician schedule as the instrument.

RESULTS

Of 7845 eligible calls, 15.5% had a tele-EC visit, with case resolution documented in 57%. Compared to standard nurse triage, tele-EC users were less likely to be Black, had more prior ED visits, and were triaged as higher acuity. Calls concerning dizziness/syncope, blood in stool, and chest pain were most likely to have a tele-EC visit. Tele-EC was associated with fewer ED visits than standard nurse triage in both regression (average marginal effect [AME] -16.8%, 95% confidence interval [CI] -19.2 to -14.4) and IV analyses (AME -17.5%, 95% CI -25.1 to -9.8), lower hospitalization rate (AME -3.1%, 95% CI -6.2 to -0.0), and lower OON spending (AME -$248, 95% CI -$458 to -$38).

CONCLUSIONS

Among Veterans initially advised to seek care within 24 h, use of tele-EC compared to standard phone triage led to decreased ED visits, hospitalizations, and OON spending within 7 days.

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.

Ten-year refractive and visual outcomes of intraocular lens implantation in infants with congenital cataract

INTRODUCTION

There is no consensus regarding optimal target refraction after intraocular lens implantation in infants. This study aimed to clarify relationships of initial postoperative refraction with long-term refractive and visual outcomes.

METHODS

This retrospective review included 14 infants (22 eyes) who underwent unilateral or bilateral cataract extraction and primary intraocular lens implantation before the age of 1 year. All infants had ≥10 years of follow-up.

RESULTS

All eyes exhibited myopic shift over a mean follow-up period of 15.9 ± 2.8 years. The greatest myopic shift occurred in the first postoperative year (mean=-5.39 ± +3.50 dioptres [D]), but smaller amounts continued beyond the tenth year (mean=-2.64 ± +2.02 D between 10 years postoperatively and last follow-up). Total myopic shift at 10 years ranged from -21.88 to -3.75 D (mean=-11.62 ± +5.14 D). Younger age at operation was correlated with larger myopic shifts at 1 year (P=0.025) and 10 years (P=0.006) postoperatively. Immediate postoperative refraction was a predictor of spherical equivalent refraction at 1 year (P=0.015) but not at 10 years (P=0.116). Immediate postoperative refraction was negatively correlated with final best-corrected visual acuity (BCVA) (P=0.018). Immediate postoperative refraction of ≥+7.00 D was correlated with worse final BCVA (P=0.029).

CONCLUSION

Considerable variation in myopic shift hinders the prediction of long-term refractive outcomes in individual patients. When selecting target refraction in infants, low to moderate hyperopia (<+7.00 D) should be considered to balance the avoidance of high myopia in adulthood with the risk of worse long-term visual acuity related to high postoperative hyperopia.

Study protocol for a factorial-randomized controlled trial evaluating the implementation, costs, effectiveness, and sustainment of digital therapeutics for substance use disorder in primary care (DIGITS Trial)

BACKGROUND

Experts recommend that treatment for substance use disorder (SUD) be integrated into primary care. The Digital Therapeutics for Opioids and Other SUD (DIGITS) Trial tests strategies for implementing reSET® and reSET-O®, which are prescription digital therapeutics for SUD and opioid use disorder, respectively, that include the community reinforcement approach, contingency management, and fluency training to reinforce concept mastery. This purpose of this trial is to test whether two implementation strategies improve implementation success (Aim 1) and achieve better population-level cost effectiveness (Aim 2) over a standard implementation approach.

METHODS/DESIGN

The DIGITS Trial is a hybrid type III cluster-randomized trial. It examines outcomes of implementation strategies, rather than studying clinical outcomes of a digital therapeutic. It includes 22 primary care clinics from a healthcare system in Washington State and patients with unhealthy substance use who visit clinics during an active implementation period (up to one year). Primary care clinics implemented reSET and reSET-O using a multifaceted implementation strategy previously used by clinical leaders to roll-out smartphone apps ("standard implementation" including discrete strategies such as clinician training, electronic health record tools). Clinics were randomized as 21 sites in a 2x2 factorial design to receive up to two added implementation strategies: (1) practice facilitation, and/or (2) health coaching. Outcome data are derived from electronic health records and logs of digital therapeutic usage. Aim 1's primary outcomes include reach of the digital therapeutics to patients and fidelity of patients' use of the digital therapeutics to clinical recommendations. Substance use and engagement in SUD care are additional outcomes. In Aim 2, population-level cost effectiveness analysis will inform the economic benefit of the implementation strategies compared to standard implementation. Implementation is monitored using formative evaluation, and sustainment will be studied for up to one year using qualitative and quantitative research methods.

DISCUSSION

The DIGITS Trial uses an experimental design to test whether implementation strategies increase and improve the delivery of digital therapeutics for SUDs when embedded in a large healthcare system. It will provide data on the potential benefits and cost-effectiveness of alternative implementation strategies.

CLINICALTRIALS

gov Identifier: NCT05160233 (Submitted 12/3/2021). https://clinicaltrials.gov/ct2/show/NCT05160233.

Changes in electronic notification volume and primary care provider burnout

OBJECTIVES

Electronic health record (EHR) inbox notifications can be burdensome for primary care providers (PCPs), potentially contributing to burnout. We estimated the association between changes in the quantities of EHR inbox notifications and PCP burnout.

STUDY DESIGN

In this observational study, we tested the association between the percent change in daily inbox notification volumes and PCP burnout after an initiative to reduce low-value notifications at the Veterans Health Administration (VHA).

METHODS

The VHA initiative resulted in increases and decreases in notification volumes for PCPs. For each facility, the proportion of PCPs reporting burnout was estimated using VHA All Employee Survey responses before and after the initiative in 2016 and 2018, respectively. Survey responses were aggregated for 6459 PCPs (physicians, nurse practitioners, and physician assistants) at 138 VHA facilities. Fixed effects regression models estimated the association of small and large increases and small and large decreases in notifications on burnout.

RESULTS

Daily inbox notifications per PCP decreased by a mean (SD) of 5.9% (30.1%) across study facilities, from a mean (SD) of 128 (52) notifications to 114 (44) notifications after the initiative. Fifty-one percent of facilities experienced reductions in notifications, 30% experienced no change, and 20% experienced increased notifications. PCP burnout was not significantly associated with any level of increase or decrease in notifications.

CONCLUSIONS

Changes in notification volumes alone did not predict PCP burnout. Future research to reduce burnout might still address EHR notification volumes, but as part of a broader set of strategies that consider the other stressors that PCPs experience.

A Novel Gap Staffing Metric for Primary Care in the Veterans Health Administration and Implications for Rural and Urban Clinics

Primary care providers (PCPs), including physicians and advanced practice providers, are the front line of medical care. Patient access must balance PCP availability and patient needs. This work develops a new PCP staffing metric using panel size and full-time equivalent data to determine whether a clinic is adequately staffed and describes variation by clinic rurality. Data were from the Veterans Health Administration, 2017-2021. Results describe the gap staffing metric, provide summary graphics, and compare the gap staffing between rural and urban clinics. This novel gap staffing metric can inform strategic clinic staffing in health care systems.

Consensus elements for observational research on COVID-19-related long-term outcomes

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and its long-term outcomes may be jointly caused by a wide range of clinical, social, and economic characteristics. Studies aiming to identify mechanisms for SARS-CoV-2 morbidity and mortality must measure and account for these characteristics to arrive at unbiased, accurate conclusions. We sought to inform the design, measurement, and analysis of longitudinal studies of long-term outcomes among people infected with SARS-CoV-2. We fielded a survey to an interprofessional group of clinicians and scientists to identify factors associated with SARS-CoV-2 infection and subsequent outcomes. Using an iterative process, we refined the resulting list of factors into a consensus causal diagram relating infection and 12-month mortality. Finally, we operationalized concepts from the causal diagram into minimally sufficient adjustment sets using common medical record data elements. Total 31 investigators identified 49 potential risk factors for and 72 potential consequences of SARS-CoV-2 infection. Risk factors for infection with SARS-CoV-2 were grouped into five domains: demographics, physical health, mental health, personal social, and economic factors, and external social and economic factors. Consequences of coronavirus disease 2019 (COVID-19) were grouped into clinical consequences, social consequences, and economic consequences. Risk factors for SARS-CoV-2 infection were developed into a consensus directed acyclic graph for mortality that included two minimally sufficient adjustment sets. We present a collectively developed and iteratively refined list of data elements for observational research in SARS-CoV-2 infection and disease. By accounting for these elements, studies aimed at identifying causal pathways for long-term outcomes of SARS-CoV-2 infection can be made more informative.

How Did Veterans' Reliance on Veterans Health Administration Outpatient Care Change After Expansion of the Veterans Community Care Program?

BACKGROUND

The Veterans Community Care Program (VCCP) aims to address access constraints in the Veterans Health Administration (VA) by reimbursing care from non-VA community providers. Little existing research explores how veterans' choice of VA versus VCCP providers has evolved as a significant VCCP expansion in 2014 as part of the Veterans Access, Choice, and Accountability Act.

OBJECTIVES

We examined changes in reliance on VA for primary care (PC), mental health (MH), and specialty care (SC) among VCCP-eligible veterans.

RESEARCH DESIGN

We linked VA administrative data with VCCP claims to retrospectively examine utilization during calendar years 2016-2018.

SUBJECTS

1.78 million veterans enrolled in VA before 2013 and VCCP-eligible in 2016 due to limited VA capacity or travel hardship.

MEASURES

We measured reliance as the proportion of total annual outpatient (VA+VCCP) visits occurring in VA for PC, MH, and SC.

RESULTS

Of the 26.1 million total outpatient visits identified, 45.6% were for MH, 29.9% for PC, and 24.4% for SC. Over the 3 years, 83.2% of veterans used any VA services, 23.8% used any VCCP services, and 20.0% were dual VA-VCCP users. Modest but statistically significant declines in reliance were observed from 2016-2018 for PC (94.5%-92.2%), and MH (97.8%-96.9%), and a more significant decline was observed for SC (88.5%-79.8%).

CONCLUSIONS

Veterans who have the option of selecting between VA or VCCP providers continued using VA for most of their outpatient care in the initial years after the 2014 VCCP expansion.

Perspectives on Training and Working in the VHA: Implications for Primary Care Physician Recruitment and Retention

PURPOSE

The primary care physician shortage in the United States presents significant challenges for health systems seeking to maintain a sufficient primary care workforce. Perspectives on training or working in primary care in the Veterans Health Administration (VHA) may yield insights into strategic recruitment to make the VHA and other health systems more attractive to primary care physicians. The authors sought to understand the experiences of resident and staff physicians with limited tenure within VHA primary care to identify factors to guide health systems in improving recruitment and retention.

METHOD

This qualitative exploratory study was conducted from June 2018 to October 2019 with 24 internal medicine residents and 30 staff physicians in VHA primary care. Heterogeneity was ensured by sampling for geographical region, rurality, and gender within each cohort. The authors conducted semistructured interviews to ascertain perspectives on training and employment preferences at VHA and non-VHA sites. Combined content analysis was used to generate findings.

RESULTS

The authors identified 4 key themes, centered around shared values and the VHA's mission-driven culture: the VHA "community" was perceived as unique and a major contributor to job satisfaction; facility-level leadership support was important to perceptions of workplace culture around harassment; the VHA primary care delivery model allowed residents and staff physicians to get patients needed care but did not always live up to its potential; and VHA employment was better than expected, but the process of getting hired was a challenge.

CONCLUSIONS

Mission and workplace culture may serve important roles in the desirability of health systems for prospective physicians and the job satisfaction of physicians who work in these systems. Physician recruitment efforts based on these attributes may yield the most success in maintaining a sufficient physician workforce.

Deploying a telemedicine collaborative care intervention for posttraumatic stress disorder in the U.S. Department of Veterans Affairs: A stepped wedge evaluation of an adaptive implementation strategy

OBJECTIVE

To address barriers to trauma-focused psychotherapy for veterans with posttraumatic stress disorder (PTSD), we compared two implementation strategies to promote the deployment of telemedicine collaborative care.

METHOD

We conducted a Hybrid Type III Effectiveness Implementation trial at six VA medical centers and their 12 affiliated Community Based Outpatient Clinics. The trial used a stepped wedge design and an adaptive implementation strategy that started with standard implementation, followed by enhanced implementation for VA medical centers that did not achieve the performance benchmark. Implementation outcomes for the 544 veterans sampled from the larger population targeted by the intervention were assessed from chart review (care management enrollment and receipt of trauma-focused psychotherapy) and telephone survey (perceived access and PTSD symptoms) after each implementation phase. The primary outcome was enrollment in care management.

RESULTS

There was no significant difference between standard implementation and enhanced implementation on any of the implementation outcomes. 41.6% of sampled veterans had a care manager encounter, but only 6.0% engaged in trauma-focused psychotherapy.

CONCLUSIONS

While telemedicine collaborative care was shown to be effective at engaging veterans in trauma-focused psychotherapy in a randomized controlled trial, neither standard nor enhanced implementation strategies were sufficient to support successful deployment into routine care.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02737098.

Economic costs of implementing evidence-based telemedicine outreach for posttraumatic stress disorder in VA

Background

Telemedicine outreach for posttraumatic stress disorder (TOP) is a virtual evidence-based practice (EBP) involving telephone care management and telepsychology that engages rural patients in trauma-focused psychotherapy. This evaluation examined implementation and intervention costs attributable to deploying TOP from a health system perspective.

Methods

Costs were ascertained as part of a stepped wedge cluster randomized trial at five sites within the Veterans Affairs (VA) Healthcare System. All sites initially received a standard implementation strategy, which included internal facilitation, dissemination of an internal facilitators operational guide, funded care manager, care managing training, and technical support. A subset of clinics that failed to meet performance metrics were subsequently randomized to enhanced implementation, which added external facilitation that focused on incorporating TOP clinical processes into existing clinic workflow. We measured site-level implementation activities using project records and structured activity logs tracking personnel-level time devoted to all implementation activities. We monetized time devoted to implementation activities by applying an opportunity cost approach. Intervention costs were measured as accounting-based costs for telepsychiatry/telepsychology and care manager visits, ascertained using VA administrative data. We conducted descriptive analyses of strategy-specific implementation costs across five sites. Descriptive analyses were conducted instead of population-level cost-effectiveness analysis because previous research found enhanced implementation was not more successful than the standard implementation in improving uptake of TOP.

Results

Over the 40-month study period, four of five sites received enhanced implementation. Mean site-level implementation cost per month was $919 (SD = $238) during standard implementation and increased to $1,651 (SD = $460) during enhanced implementation. Mean site-level intervention cost per patient-month was $46 (SD = $28) during standard implementation and $31 (SD = $21) during enhanced implementation.

Conclusions

Project findings inform the expected cost of implementing TOP, which represents one factor health systems should consider in the decision to broadly adopt this EBP. Plain Language Summary: What is already known about the topic: Trauma-focused psychotherapy delivered through telemedicine has been demonstrated as an effective approach for the treatment of post-traumatic stress disorder (PTSD). However, uptake of this evidence-based approach by integrated health systems such as the Veterans Affairs (VA) Health Care System is low. What does this paper add: This paper presents new findings on the costs of two implementation approaches designed to increase adoption telemedicine outreach for PTSD from a health system perspective. What are the implications for practice, research, and policy: Cost estimates from this paper can be used by health systems to inform the relative value of candidate implementation strategies to increase adoption of evidence-based treatments for PTSD or other mental health conditions.

Identifying and Prioritizing Workplace Climate Predictors of Burnout Among VHA Primary Care Physicians

OBJECTIVE

Burnout, or job-related stress, affects more than half of all US physicians, with primary care physicians (PCPs) experiencing some of the highest rates in medicine. Our study analyzes national survey data to identify and prioritize workplace climate predictors of burnout among PCPs within a large integrated health system.

DESIGN

Observational study of annual survey data from the Veterans Health Administration (VHA) All Employee Survey (AES) for 2013-2017. AES response rate ranged from 56 to 60% during the study period. Independent and dependent variables were measured from separate random samples. In total, 8,456 individual-level responses among PCPs at 110 VHA practice sites were aggregated at the facility level by reporting year. We used the semi-automated LASSO procedure to identify workplace climate measures that were more influential in predicting burnout and assessed relative importance using the Shapely value decomposition.

PARTICIPANTS

VHA employees that self-identify as PCPs.

MAIN MEASURES

Dependent variables included two dichotomous measures of burnout: emotional exhaustion and depersonalization. Independent measures included 30 survey measures related to dimensions of workplace climate (e.g., workload, leadership, satisfaction).

RESULTS

We identified seven influential workplace climate predictors of emotional exhaustion and nine predictors of depersonalization. With few exceptions, higher agreement/satisfaction scores for predictors were associated with a lower likelihood of burnout. The majority of explained variation in emotional exhaustion was attributable to perceptions of workload (32.6%), organization satisfaction (28.2%), and organization support (19.4%). The majority of explained variation in depersonalization was attributable to workload (25.3%), organization satisfaction (22.9%), and connection to VHA mission (20.7%).

CONCLUSION

Identifying the relative importance of workplace climate is important for the allocation of health organization resources to mitigate and prevent burnout within the PCP workplace. In a context of limited resources, efforts to reduce perceived workload and improve organization satisfaction may represent the biggest leverage points for health organizations to address physician burnout.

Critical Care Nurse Burnout in Veterans Health Administration: Relation to Clinician and Patient Outcomes

BACKGROUND

Critical care nurses have a burnout rate among the highest of any nursing field. Nurse burnout may impact care quality. Few studies have considered how temporal patterns may influence outcomes.

OBJECTIVE

To test a longitudinal model of burnout clusters and associations with patient and clinician outcomes.

METHODS

An observational study analyzed data from annual employee surveys and administrative data on patient outcomes at 111 Veterans Health Administration intensive care units from 2013 through 2017. Site-level burnout rates among critical care nurses were calculated from survey responses about emotional exhaustion and depersonalization. Latent trajectory analysis was applied to identify clusters of facilities with similar burnout patterns over 5 years. Regression analysis was used to analyze patient and employee outcomes by burnout cluster and organizational context measures. Outcomes of interest included patient outcomes (30-day standardized mortality rate and observed minus expected length of stay) for 2016 and 2017 and clinician outcomes (intention to leave and employee satisfaction) from 2013 through 2017.

RESULTS

Longitudinal analysis revealed 3 burnout clusters among the 111 sites: low (n = 37), medium (n = 68), and high (n = 6) burnout. Compared with sites in the low-burnout cluster, those in the high-burnout cluster had longer patient stays, higher employee turnover intention, and lower employee satisfaction in bivariate models but not in multivariate models.

CONCLUSIONS

In this multiyear, multisite study, critical care nurse burnout was associated with key clinician and patient outcomes. Efforts to address burnout among nurses may improve patient and employee outcomes.

Cost analysis of a coaching intervention to increase use of transradial percutaneous coronary intervention

BACKGROUND

The transradial approach (TRA) to cardiac catheterization is safer than the traditional transfemoral approach (TFA), with similar clinical effectiveness. However, adoption of TRA remains low, representing less than 50% of catheterization procedures in 2015. Peer coaching is one approach to facilitate implementation; however, the costs of this strategy for cardiac procedures such as TRA are unclear.

METHODS

We conducted an activity-based costing analysis (ABC) of a multi-center, hybrid type III implementation trial of a coaching intervention designed to increase the use of TRA. We identified the key activities of the intervention and determined the personnel, resources, and time needed to complete each activity. The personnel cost per hour and the activity duration were then used to estimate the cost of each activity and the total variable cost of the implementation. Fixed costs related to designing and running the implementation were calculated separately. All costs are reported in 2019 constant US dollars.

RESULTS

The total cost of the coaching intervention implementation was $374,863. Of the total cost, $367,752 were variable costs due to travel, preparatory work, in-person coaching, post-intervention evaluation, and administrative time. We estimated fixed costs of $7112. The mean marginal cost of implementing the intervention at only one additional medical center was $52,536.

CONCLUSIONS

We provide granular cost estimates of a conceptually rooted implementation strategy designed to increase the uptake of TRA for cardiac catheterization. We estimate that implementation costs stemming from the coaching approach would be offset after the conversion of approximately 409 to 1363 catheterizations from TFA to TRA. Our estimates provide benchmarks of the expected costs of implementing evidence-based, but expertise-intensive, cardiac procedures.

TRIAL REGISTRATION

ISRCTN, ISRCTN66341299 . Registered 7 July 2020-retrospectively registered.

Effects of Medicaid expansion on self-reported use of dental services in socioeconomically vulnerable subgroups

OBJECTIVE

Research suggests Medicaid expansion led to modest increases in the use of dental services among low-income adults, especially in states with more generous Medicaid dental benefits. We expand upon this research by examining whether the effect of Medicaid expansion differed across important socioeconomic subgroups.

METHODS

Using Behavioral Risk Factor Surveillance System data from 2012 to 2016, we employed a difference-in-differences framework to estimate the effect of Medicaid expansion on annual use of dental services overall and by whether states offered more-than-emergency Medicaid dental benefits. We used generalized linear mixed-effects model trees to estimate effects across socioeconomic subgroups (e.g., age, education, race, income).

RESULTS

The effect of Medicaid expansion varied by state's generosity of Medicaid dental coverage and combinations of socioeconomic subgroups. Overall, there was no significant association between Medicaid expansion and probability of using dental services (-0.1 pp percentage points [pp], p = 0.914). Medicaid expansion was associated with a modest increase in the probability of using dental services in states with more-than-emergency Medicaid dental benefits (2.3 pp, p < 0.001) and with a modest decrease in states with no or emergency-only benefits (-4.3 pp, p < 0.001). Among adults aged 21-35 without a high school diploma, Medicaid expansion was associated with an 8.1 pp (p = 0.003) increase in dental use probability, but there were no associated effects of Medicaid expansion for other subgroups.

CONCLUSIONS

While Medicaid expansion alone is not sufficient to ensure adults receive recommended dental care, some vulnerable subgroups appear to have benefited. Efforts to mitigate barriers to dental care may be needed to increase uptake of dental services by low-income adults.

Comparing total medical expenditure between patients receiving direct oral anticoagulants vs warfarin for the treatment of atrial fibrillation: evidence from VA-Medicare dual enrollees

BACKGROUND: Direct oral anticoagulants (DOACs) are an alternative to warfarin for treatment of atrial fibrillation (AF). Evidence demonstrating the efficacy and safety of DOACs has primarily been from clinical trial settings. The real-world effectiveness of DOACs in specific nontrial populations that differ in age, comorbidity burden, and socioeconomic status is unclear. OBJECTIVE: To compare total downstream medical expenditure between AF patients treated with warfarin and DOACs dually enrolled in the Veterans Affairs (VA) Healthcare System and fee-for-service Medicare. METHODS: This was an exploratory treatment effectiveness study that analyzed VA administrative data and Medicare claims. We examined patients with an incident diagnosis for AF and initiated warfarin or DOAC treatment between 2012 and 2015. The primary outcome was total medical expenditure over 3 years following treatment initiation. To address potential informative censoring, we applied a multipart estimator that extends traditional 2-part models to separate differences between groups due to survival and cost accumulation effects. Inverse probability weighting was applied to address potential treatment selection bias. RESULTS: We identified 31,276 and 17,021 patients receiving warfarin and DOACs, respectively. Mean unadjusted (SD) expenditure was higher for warfarin ($56,265 [$96,666]) compared with DOAC patients ($32,736 [$52,470]). Compared with patients receiving DOACs, adjusted 3-year expenditure was $25,688 (P < 0.001) higher for patients receiving warfarin. CONCLUSIONS: VA patients with AF initiating warfarin incurred markedly higher downstream expenditure compared with similar patients receiving DOACs. The benefits of DOACs found in previous clinical trials were present in this population, suggesting that these DOACs may be the preferred option for treatment of AF in older VA patients. DISCLOSURES: This study was funded by a VA Health Services Research and Development Investigator Initiated Research Award (IIR 15-139). Support for VA/CMS data was provided by the Department of Veterans Affairs, Veterans Health Administration, Office of Research and Development, Health Services Research and Development, VA Information Resource Center (Project Numbers SDR 02-237 and 98-004). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs, the University of Washington, Northeastern University, and Boston University. The authors declare no conflicts of interest. This research includes data obtained from the VHA Office of Performance Measurement (17API2), which resides within the Office of Analytics and Performance Integration (API), under the Office of Quality and Patient Safety (QPS; formerly known as RAPID). An oral presentation documenting a subset of the findings from this study was presented at the 2020 AcademyHealth Annual Research Meeting, delivered virtually on July 29, 2020.

Primary Care Spending in the Veterans Health Administration in 2014 and 2018

This quality improvement study assesses the proportion of primary care spending in the Veterans Health Administration in 2014 and 2018.

Low-Value Inhaled Corticosteroids in Chronic Obstructive Pulmonary Disease and the Association with Healthcare Utilization and Costs

Rationale: Inhaled corticosteroids (ICS) are not first-line therapy for patients with chronic obstructive pulmonary disease (COPD) at low risk of exacerbations, but they are commonly prescribed despite evidence of harm. We consider ICS prescription in this population to be of "low value." The association of low-value ICS with subsequent healthcare utilization and costs is unknown. Understanding this relationship could inform efforts to reduce the delivery of low-value care. Objectives: To determine whether low-value ICS prescribing is associated with higher outpatient healthcare utilization and costs among patients with COPD who are at low risk of exacerbation. Methods: We performed a cohort study between January 1, 2010, and December 31, 2018, identifying a cohort of veterans with COPD who performed pulmonary function tests (PFTs) at 21 Veterans Affairs medical centers nationwide. Patients were defined as having low exacerbation risk if they experienced less than two outpatient exacerbations and no hospital admissions for COPD in the year before PFTs. Our primary exposure was the receipt of an ICS prescription in the 3 months before the date of PFTs. Our primary outcomes were outpatient utilization and outpatient costs in the 1 year after PFTs. For inference, we generated negative binomial models for utilization and generalized linear models for costs, adjusting for confounders. Results: We identified a total of 31,551 patients with COPD who were at low risk of exacerbation. Of these patients, 9,742 were prescribed low-value ICS (mean [standard deviation (SD)] age, 69 [9] yr), and 21,809 were not prescribed low-value ICS (mean [SD] age, 68 [9] yr). Compared with unexposed patients, those exposed to low-value ICS had 0.53 more encounters per patient per year (95% confidence interval CI, 0.23-0.83) and incurred $154.72 higher costs/patient/year (95% CI, $45.58-$263.86). Conclusions: Low-value ICS prescription was associated with higher subsequent outpatient healthcare utilization and costs. Potential mechanisms for the observed association are that 1) low-value ICS may be a marker of poor respiratory symptom control, 2) there is confounding by indication, or 3) low-value ICS results in increased drug costs or utilization. Health systems should identify low-value ICS prescriptions as a target to improve value-based care.

Developing an Algorithm for Combining Race and Ethnicity Data Sources in the Veterans Health Administration

INTRODUCTION

Racial/ethnic disparities exist in the Veterans Health Administration (VHA), despite financial barriers to care being largely mitigated and Veterans Administration's (VA) organizational commitment to health equity. Accurately identifying minority veterans is critical to monitoring progress toward equity as the VHA treats an increasingly racially and ethnically diverse veteran population. Although the VHA's completeness of race and ethnicity data is generally better than its public sector and private counterparts, the accuracy of the race and ethnicity in the various databases available to VHA is variable, as is the accuracy in identifying specific minority groups. The purpose of this article was to develop an algorithm for constructing race and ethnicity variables from data sources available to VHA researchers, to present demographic differences cross the data sources, and to apply the algorithm to one study year.

MATERIALS AND METHODS

We used existing VHA survey data from the Survey of Healthcare Experiences of Patients (SHEP) and three commonly used administrative databases from 2003 to 2015: the VA Corporate Data Warehouse (CDW), VA Defense Identity Repository (VADIR), and Medicare. Using measures of agreement such as sensitivity, specificity, positive and negative predictive values, and Cohen kappa, we compared self-reported race and ethnicity from the SHEP and each of the other data sources. Based on these results, we propose an algorithm for combining data on race and ethnicity from these datasets. We included VHA patients who completed a SHEP and had race/ethnicity recorded in CDW, VADIR, and/or Medicare.

RESULTS

Agreement between SHEP and other sources was high for Whites and Blacks and substantially lower for other minority groups. The CDW demonstrated better agreement than VADIR or Medicare.

CONCLUSIONS

We developed an algorithm of data source precedence in the VHA that improves the accuracy of the identification of historically under-identified minorities: (1) SHEP, (2) CDW, (3) Department of Defense's VADIR, and (4) Medicare.

Does machine learning improve prediction of VA primary care reliance?

OBJECTIVES

The Veterans Affairs (VA) Health Care System is among the largest integrated health systems in the United States. Many VA enrollees are dual users of Medicare, and little research has examined methods to most accurately predict which veterans will be mostly reliant on VA services in the future. This study examined whether machine learning methods can better predict future reliance on VA primary care compared with traditional statistical methods.

STUDY DESIGN

Observational study of 83,143 VA patients dually enrolled in fee-for-service Medicare using VA and Medicare administrative databases and the 2012 Survey of Healthcare Experiences of Patients.

METHODS

The primary outcome was a dichotomous measure denoting whether patients obtained more than 50% of all primary care visits (VA + Medicare) from VA. We compared the performance of 6 candidate models-logistic regression, elastic net regression, decision trees, random forest, gradient boosting machine, and neural network-in predicting 2013 reliance as a function of 61 patient characteristics observed in 2012. We measured performance using the cross-validated area under the receiver operating characteristic (AUROC) metric.

RESULTS

Overall, 72.9% and 74.5% of veterans were mostly VA reliant in 2012 and 2013, respectively. All models had similar average AUROCs, ranging from 0.873 to 0.892. The best-performing model used gradient boosting machine, which exhibited modestly higher AUROC and similar variance compared with standard logistic regression.

CONCLUSIONS

The modest gains in performance from the best-performing model, gradient boosting machine, are unlikely to outweigh inherent drawbacks, including computational complexity and limited interpretability compared with traditional logistic regression.

Association of the Patient-Centered Medical Home Implementation with Chronic Disease Quality in Patients with Multimorbidity

BACKGROUND

The patient-centered medical home (PCMH) was established in part to improve chronic disease management, yet evidence is limited for effects on patients with multimorbidity.

OBJECTIVE

To examine the association of Patient-Aligned Care Team (PACT) implementation, the Veterans Health Administration (VA) PCMH model, and care quality for multimorbid patients enrolled in VA primary care from 2012 to 2014.

DESIGN

Retrospective cohort.

PATIENTS

318,764 multimorbid (> 3 chronic diseases) patients receiving care in 917 clinics.

MAIN MEASURES

PCMH implementation was measured using the PACT Implementation Progress Index (PI²) for clinics in 2012. The PI² is a validated composite measure of administrative and survey data with higher scores associated with greater care quality. Quality outcomes from 2013 to 2014 were assessed from External Peer Review Program (EPRP) metrics. Outcomes included preventative care, chronic disease management, and mental health and substance use metrics. We used generalized estimating equations to model associations adjusting for patient and clinic characteristics. We also examined associations for a subgroup with > 5 chronic diseases.

KEY RESULTS

For one-third of metrics (5/15), greater implementation of PACT in 2012 was associated with higher predicted probability of meeting the quality metric in 2013-2014. This association persisted for only two metrics (diabetic glycemic control, P < 0.001; lipid control in ischemic heart disease, P = 0.02) among patients with > 5 chronic diseases.

CONCLUSIONS

Multimorbid patients engaged in care from clinics with higher PCMH implementation received higher quality care across several quality domains, but this association was reduced in patients with > 5 chronic diseases.

Comparable, but distinct: Perceptions of primary care provided by physicians and nurse practitioners in full and restricted practice authority states

AIMS

To understand patients' and providers' perceptions of primary care delivered by nurse practitioners (NPs) in the Veterans Affairs Healthcare System.

DESIGN

Qualitative exploratory study (in convergent mixed-methods design).

METHODS

Semi-structured interviews in 2016 with primary care providers and patients from facilities in states with full and restricted practice authority for NPs. Patient sample based on reassignment to: (a) a NP; or (b) a different physician following an established physician relationship. Data were analysed using content analysis.

RESULTS

We interviewed 28 patients, 17 physicians and 14 NPs. We found: (a) NPs provided more holistic care than physicians; (b) patients were satisfied with NPs; and (c) providers' professional experience outweighed provider type.

CONCLUSIONS

Patients' preferences for NPs (compared with prior physicians) contributed to perceptions of patient centredness. Similarities in providers' perceptions suggest NPs and physicians are both viable providers for primary care.

IMPACT

Nurse Practitioners (NPs): practice authority Veterans Affairs Health care: nurse practitioners will continue to be a viable resource for primary care delivery United States Health care: challenges notions patients may not be satisfied with care provided by NPs and supports expanding their use to provide much-needed access to primary care services; expanding Full Practice Authority would allow states to provide acceptable primary care without diminishing patient or provider experiences.

National Burnout Trends Among Physicians Working in the Department of Veterans Affairs

BACKGROUND

Heterogeneity of existing physician burnout studies impairs analyses of longitudinal trends, geographic distribution, and organizational factors impacting physician burnout. The Department of Veterans Affairs (VA) is one of the largest integrated healthcare systems in the USA, offering a unique opportunity to study burnout across VA sites and time.

OBJECTIVE

To characterize longitudinal burnout trends of VA physicians and assess organizational characteristics and geographic distribution associated with physician burnout.

DESIGN

Longitudinal study of the VA All Employee Survey during 2013-2017.

PARTICIPANTS

Self-identified physicians practicing in one of nine clinical service areas at 140 VA sites nationwide.

MAIN MEASURES

We identified burnout using a validated definition adapted from the Maslach Burnout Inventory and characterized burnout trends for physicians in different clinical service areas. We used clustering analysis to categorize sites based on their burnout rates over time, and compared organizational characteristics and geographic distribution of high, medium, and low burnout categories.

KEY RESULTS

We identified 40,382 physician responses from 140 VA sites. Mean burnout rates across all physicians ranged from 34.3% in 2013 to a high of 39.0% in 2014. Primary care physicians had the highest burnout. High burnout sites were more likely to be rural and non-teaching, have lower complexity (i.e., offer fewer advanced clinical services), and have fewer unique patients per site.

CONCLUSIONS

VA physician burnout was lower than previously described in many non-VA studies and was relatively stable over time. These findings may be due to unique characteristics of the VA practice environment. Nonetheless, with over a third of VA physicians reporting burnout, organizational interventions are needed. Primary care physicians and those practicing at small, rural sites have higher rates of burnout and may warrant more focused attention. Our results can guide targeted interventions to promote VA physician well-being and inform efforts to address burnout in diverse clinical settings.

Midlife mortality in White non-Hispanic male veterans enrolled in Department of Veterans Affairs primary care, 2003-2014

Background

After years of decline in mortality rates in the United States, there have been increases in mortality rates in White non-Hispanic Americans ages 45–54, due to increases in deaths from suicide, poisoning, and alcoholic liver disease.

Objectives

To determine whether White non-Hispanic middle age male Veterans enrolled in Department of Veterans Affairs (VA) primary care had increased mortality, as found in the general population.

Research design

Repeated cross-sectional analysis over 12 years to describe trends in death rates for men across 3 race/ethnicity groups (White non-Hispanic, Black non-Hispanic, Hispanic) and 2 age groups (45–54, 55–64) for the Veteran and general US male populations.

Subjects

60 million patient-years for Veterans enrolled in VA primary care from 2003 to 2014 and 1.8 million who died during the study period.

Measures

All-cause and cause specific death rates for alcoholic liver disease, poisoning, and suicide.

Results

For White non-Hispanic male Veterans ages 55–64, the increase in all-cause mortality from 2003 to 2014 (+309 deaths/100,000) was accompanied by significant changes in deaths due to poisoning (+30/100,000), alcoholic liver disease (+23/100,000), and suicide (+17/100,000). For US men ages 55–64, all-cause mortality decreased slightly from 2003-2014 (-22 deaths/100,000). However, there were increases in death rates due to poisoning (+17/100,000), alcoholic liver disease (+14/100,000) and suicide (+11/100,000).

Conclusions

These disturbing findings for White non-Hispanic Veteran men ages 55–64 suggest the critical importance of suicide prevention programs as well as the importance of high quality integrated health care for both Veteran and non-Veteran men.

Outcomes of primary care delivery by nurse practitioners: Utilization, cost, and quality of care

OBJECTIVE

To examine whether nurse practitioner (NP)-assigned patients exhibited differences in utilization, costs, and clinical outcomes compared to medical doctor (MD)-assigned patients.

DATA SOURCES

Veterans Affairs (VA) administrative data capturing characteristics, outcomes, and provider assignments of 806 434 VA patients assigned to an MD primary care provider (PCP) who left VA practice between 2010 and 2012.

STUDY DESIGN

We applied a difference-in-difference approach comparing outcomes between patients reassigned to MD and NP PCPs, respectively. We examined measures of outpatient (primary care, specialty care, and mental health) and inpatient (total and ambulatory care sensitive hospitalizations) utilization, costs (outpatient, inpatient and total), and clinical outcomes (control of hemoglobin A1c, LDL, and blood pressure) in the year following reassignment.

PRINCIPAL FINDINGS

Compared to MD-assigned patients, NP-assigned patients were less likely to use primary care and specialty care services and incurred fewer total and ambulatory care sensitive hospitalizations. Differences in costs, clinical outcomes, and receipt of diagnostic tests between groups were not statistically significant.

CONCLUSIONS

Patients reassigned to NPs experienced similar outcomes and incurred less utilization at comparable cost relative to MD patients. NPs may offer a cost-effective approach to addressing anticipated shortages of primary care physicians.

Association of the Implementation of the Patient-Centered Medical Home with Quality of Life in Patients with Multimorbidity

BACKGROUND

The patient-centered medical home (PCMH) has clinical benefits for chronic disease care, but the association with patient-reported outcomes such as health-related quality of life (HRQoL) is unexplored in patients with multimorbidity (two or more chronic diseases).

OBJECTIVE

To examine if greater clinic-level PCMH implementation was associated with higher HRQoL in multimorbid adults.

DESIGN

A retrospective cohort study.

PARTICIPANTS

Twenty-two thousand ninety-five multimorbid patients who received primary care at 944 Veterans Health Administration (VHA) clinics.

MAIN MEASURES

Our exposure was the Patient Aligned Care Team Implementation Progress Index (PI²) for the clinic in 2012, a previously validated composite measure of PCMH implementation. Higher PI² scores indicate better performance within eight PCMH domains. Outcomes were patient-reported HRQoL measured by the physical and mental component scores (PCS and MCS) from the Short Form-12 patient experiences survey in 2013-2014. Interaction of the outcomes with total hospitalizations and primary care visit count was also examined. Generalized estimating equations were used for main models after adjusting for patient and clinic characteristics.

RESULTS

The cohort average age was 68 years, mostly male (96%), and had an average of 4.4 chronic diagnoses. Compared with patients seen at the lowest scoring clinics for PCMH implementation, care in the highest scoring clinics was associated with a higher adjusted marginal mean PCS (42.3 (95% CI 41.3-43.4) versus 40.3 (95% CI 39.1-41.5), P = 0.01), but a lower MCS (35.2 (95% CI 34.4-36.1) versus 36.0 (95% CI 35.3-36.8), P = 0.17). Patients with prior hospitalizations seen in clinics with higher compared with lower PI² scores had a 2.7 point greater MCS (95% CI 0.6-4.8; P = 0.01).

CONCLUSIONS

Multimorbid patients seen in clinics with greater PCMH implementation reported higher physical HRQoL, but lower mental HRQoL. The association between PCMH implementation and mental HRQoL may depend on complex interactions with disease severity and prior hospitalizations.