Caring for Those Who Serve: Potential Implications of the Veterans Affairs Maintaining Internal Systems and Strengthening Integrated Outside Networks Act of 2018

Understanding Pregnancy-Related Cardiovascular Disease Risk Communication and Management Among Women Veterans

Background: Women veterans who experience certain conditions during pregnancy, such as gestational hypertension, pre-eclampsia, and gestational diabetes, are at increased risk of developing cardiovascular disease (CVD) later in life. Many women are unaware of this risk. Furthermore, women often face financial, socioeconomic, or physical challenges when trying to make healthy behavior modifications to reduce CVD risk. Objective: To examine Veterans' pregnancy-related cardiovascular (CV) risk conditions, risk identification, and risk communication with primary care providers. Research Design: Telephone/video interviews were conducted with female Veterans who had experienced at least one sex-specific CV risk condition during pregnancy. Interviews were recorded, transcribed, and analyzed using content analysis techniques. Major themes and representative quotes were derived. Results: Twenty-eight women Veterans participated in the study, conducted between October and December 2023. A majority of participants were racial/ethnic minorities, and the average age was 38. Four themes arose: (1) Veterans Affairs (VA) medical records may contain limited information regarding CV risk factors experienced during pregnancy; (2) strong relationships between Veterans and their VA primary care providers can facilitate management of CV risk factors following pregnancy; (3) some Veterans receive vague and/or conflicting recommendations for CV risk reduction following pregnancy; and (4) social determinants of health may play a key role in Veterans' ability to follow recommended CV risk reduction behaviors. Conclusions: Women Veterans with pregnancy-related CV risk conditions may not know that they are at increased risk of developing future CVD conditions, often because VA providers receive limited records from outside providers. Those who are aware often receive conflicting or vague recommendations to address these risk factors. When trying to follow CV health recommendations, many women have difficulty due to lack of finances, childcare, or safe areas. Future interventions should be aimed at improving access to medical records between outside and VA providers, patient education, and access to heart-healthy resources.

Racial and Ethnic and Rural Variations in Access to Primary Care for Veterans Following the MISSION Act

Importance

The 2018 Veterans Affairs Maintaining Internal Systems and Strengthening Integrated Outside Networks (VA MISSION) Act was implemented to increase timely access to care by expanding veterans' opportunities to receive Veterans Affairs (VA)-purchased care in the community (community care [CC]). Because health equity is a major VA priority, it is important to know whether Black and Hispanic veterans compared with White veterans experienced equitable access to primary care within the VA MISSION Act.

Objective

To examine whether utilization of and wait times for primary care differed between Black and Hispanic veterans compared with White veterans in rural and urban areas after the implementation of the VA MISSION Act.

Design, Setting, and Participants

This cross-sectional study used VA and CC outpatient and consult data from the VA's Corporate Data Warehouse for fiscal years 2021 to 2022 (October 1, 2020, to September 30, 2022). Separate fixed-effects multivariable models were run to predict CC utilization and wait times. Each model was run twice, once comparing Black and White veterans and then comparing Hispanic and White veterans. Adjusted risk ratios (ARRs) were calculated for Black and Hispanic veterans compared with White veterans within rurality status for both outcomes.

Main Outcomes and Measures

VA and CC primary care utilization as measured by primary care visits (utilization cohort); VA and CC primary care access as measured by mean wait times (access cohort).

Results

A total of 5 046 087 veterans (994 517 [19.7%] Black, 390 870 [7.7%] Hispanic, and 3 660 700 [72.6%] White individuals) used primary care from fiscal years 2021 to 2022. Utilization increased for all 3 racial and ethnicity groups, more so in CC than VA primary care. ARRs were significantly less than 1 regardless of rurality status, indicating Black and Hispanic veterans compared with White veterans were less likely to utilize CC for primary care. There were 468 246 primary care consultations during the study period. The overall mean (SD) wait time was 33.3 (32.4) days. Despite decreases in wait times over time, primary care wait times remained longer in CC than in VA. Black veterans compared with White veterans had significantly longer wait times in CC (ARRs >1) but significantly shorter wait times in VA (ARRS <1) regardless of rurality status in VA and CC. CC wait times for Hispanic veterans compared with White veterans were longer in rural areas only and in VA rural and urban areas (ARRs >1).

Conclusion and Relevance

The results of this cross-sectional study suggest that additional research should explore the determinants and implications of utilization differences among Black and Hispanic veterans compared with White veterans. Efforts to promote equitable primary care access for all veterans are needed so that policy changes can be more effective in ensuring timely access to care for all veterans.

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

BACKGROUND

Acupuncture and chiropractic care are evidence-based pain management alternatives to opioids. The Veterans Health Administration (VA) provides this care in some VA facilities, but also refers patients to community providers. We aimed to determine if patient-reported outcomes differ for acupuncture and chiropractic care from VA versus community providers.

MATERIALS AND METHODS

We conducted an observational study using survey outcome data and electronic medical record utilization data for acupuncture and chiropractic care provided in 18 VA facilities or in community facilities reimbursed by VA. Study participants were users of VA primary care, mental health, pain clinic, complementary and integrative therapies, coaching or education services in 2018-2019. Patients received 1) 4+ acupuncture visits (N = 201) or 4+ chiropractic care visits (N = 178) from a VA or community provider from 60 days prior to baseline to six-months survey and 2) no acupuncture or chiropractic visits from 1 year to 60 days prior to baseline. Outcomes measured included patient-reported pain (PEG) and physical health (PROMIS) at baseline and six-month surveys. Multivariate analyses examined outcomes at six months, adjusting for baseline outcomes and demographics.

RESULTS

In unadjusted analyses, pain and physical health improved for patients receiving community-based acupuncture, while VA-based acupuncture patients experienced no change. Unadjusted analyses also showed improvements in physical health, but not pain, for patients receiving VA-based chiropractic care, with no changes for community-based chiropractic care patients. Using multivariate models, VA-based acupuncture was no different from community-based acupuncture for pain (-0.258, p = 0.172) or physical health (0.539, p = 0.399). Similarly, there were no differences between VA- and community-based chiropractic care in pain (-0.273, p = 0.154) or physical health (0.793, p = 0.191).

CONCLUSIONS

Acupuncture and chiropractic care were associated with modest improvements at six months, with no meaningful differences between VA and community providers. The choice to receive care from VA or community providers could be based on factors other than quality, like cost or convenience.

Racial/Ethnic and Geographic Disparities in Comorbid Traumatic Brain Injury-Renal Failure in US Veterans and Associated Veterans Affairs Resource Costs, 2000-2020

Studies have identified disparities by race/ethnicity and geographic status among veterans with traumatic brain injury (TBI) and renal failure (RF). We examined the association of race/ethnicity and geographic status with RF onset in veterans with and without TBI, and the impact of disparities on Veterans Health Administration resource costs.

METHODS

Demographics by TBI and RF status were assessed. We estimated Cox proportional hazards models for progression to RF and generalized estimating equations for inpatient, outpatient, and pharmacy cost annually and time since TBI + RF diagnosis, stratified by age.

RESULTS

Among 596,189 veterans, veterans with TBI progressed faster to RF than those without TBI (HR 1.96). Non-Hispanic Black veterans (HR 1.41) and those in US territories (HR 1.71) progressed faster to RF relative to non-Hispanic Whites and those in urban mainland areas. Non-Hispanic Blacks (-$5,180), Hispanic/Latinos ($-4,984), and veterans in US territories (-$3,740) received fewer annual total VA resources. This was true for all Hispanic/Latinos, while only significant for non-Hispanic Black and US territory veterans < 65 years. For veterans with TBI + RF, higher total resource costs only occurred ≥ 10 years after TBI + RF diagnosis ($32,361), independent of age. Hispanic/Latino veterans ≥ 65 years received $8,248 less than non-Hispanic Whites and veterans living in US territories < 65 years received $37,514 less relative to urban veterans.

CONCLUSION

Concerted efforts to address RF progression in veterans with TBI, especially in non-Hispanic Blacks and those in US territories, are needed. Importantly, culturally appropriate interventions to improve access to care for these groups should be a priority of the Department of Veterans Affairs priority for these groups.

Implementation of VA care coordination program to improve transitional care for veterans post-non-VA hospital discharge: an incremental cost analysis

BACKGROUND

The Veterans Affairs (VA) Healthcare System Community Hospital Transitions Program (CHTP) was implemented as a nurse-led intervention to reduce barriers that patients experience when transitioning from community hospitals to VA primary care settings. A previous analysis indicated that veterans who enrolled in CHTP received timely follow-up care and communications that improved care coordination, but did not examine cost implications for the VA.

METHODS

A budget impact analysis used the VA (payer) perspective. CHTP implementation team members and study records identified key resources required to initially implement and run the CHTP. Statistical analysis of program participants and matched controls at two study sites was used to estimate incremental VA primary care costs per veteran. Using combined program implementation, operations, and healthcare cost estimates to guide key model assumptions, overall CHTP costs were estimated for a 5-year time horizon, including a discount rate of 3%, annual inflation of 2.5%, and a sensitivity analysis that considered two options for staffing the program at VA Medical Center (VAMC) sites.

RESULTS

Implementation at two VAMCs required 3 months, including central program support and site-level onboarding, with costs of $34,094 (range: $25,355-$51,602), which included direct and indirect resource costs of personnel time, materials, space, and equipment. Subsequent annual costs to run the program at each site depended heavily on the staffing mix and caseload of veterans, with a baseline estimate of $193,802 to $264,868. Patients enrolled in CHTP had post-hospitalization VA primary care costs that were higher than matched controls. Over 5 years, CHTP sites staffed to serve 25-30 veterans per full-time equivalent transition team member per month had an estimated budget impact of $625 per veteran served if the transitional team included a medical social worker to support veterans with more social behavioral needs and less complex medical cases or $815 per veteran if nurses served all cases.

CONCLUSIONS

Evidence-based care coordination programs that support patients' return to VA primary care after a community hospital stay are feasible to implement and run. Further, flexibility in staffing this type of program is increasingly relevant as the VA and other healthcare systems consider methods to reduce provider burnout, optimize staffing, reduce costs, and address other staffing challenges while improving patient care.

Data acquisition process for VA and non-VA emergency department and hospital utilization by veterans with spinal cord injury and disorders in California using VA and state data

Context: To identify VA and non-VA Emergency Department (ED) and hospital utilization by veterans with spinal cord injury and disorders (SCI/D) in California.Design: Retrospective cohort study.Setting: VA and Office of Statewide Health Planning and Development (OSHPD) in California.Participants: Total 300 veterans admitted to the study VA SCI/D Center for initial rehabilitations from 01/01/1999 through 08/17/2014.Interventions: N/A.Outcome Measures: Individual-level ED visits and hospitalizations during the first-year post-rehabilitation.Results: Among 145 veterans for whom ED visit data available, 168 ED visits were identified: 94 (55.2%) at non-VA EDs and 74 (44.8%) at the VA ED, with a mean of 1.16 (±2.21) ED visit/person. Seventy-seven (53.1%) veterans did not visit any ED. Of 68 (46.9%) veterans with ≥ one ED visit, 20 (29.4%) visited the VA ED only, 34 (50.0%) visited non-VA EDs only, and 14 (20.6%) visited both VA and non-VA EDs. Among 212 Veterans for whom hospitalization data were available, 247 hospitalizations were identified: 82 (33.2%) non-VA hospitalizations and 165 (66.8%) VA hospitalization with a mean of 1.17 (±1.62) hospitalizations/person. One hundred-seven (50.5%) veterans had no hospitalizations. Of 105 veterans with ≥ one hospitalization, 58 (55.2%) were hospitalized at the study VA hospital, 15 (14.3%) at a non-VA hospital, and 32 (30.5%) at both VA and non-VA hospitals.Conclusion: Non-VA ED and hospital usage among veterans with SCI/D occurred frequently. The acquisition of non-VA healthcare data managed by state agencies is vital to accurately and comprehensively evaluate needs and utilization rates among veteran populations.

Antipsychotic initiation and new diagnoses excluded from quality-measure reporting among Veterans in community nursing homes contracted by the Veterans Health Administration in the United States

OBJECTIVES

To assess whether prevailing antipsychotic use rates in community nursing homes (CNH) influence new initiation of antipsychotics and diagnosis with antipsychotic indications among Veterans.

METHODS

We used linked 2013-2016 Veterans Administration (VA) data, Medicare claims, Nursing Home Compare, and Minimum Data Set (MDS) assessments. The exposure was the proportion (in quintiles) of all CNH residents prescribed antipsychotics in the quarter preceding a Veteran's admission date. Using adjusted logistic regression, we analyzed two outcomes measured using MDS: antipsychotic initiation, and new diagnosis of an antipsychotic quality-measure exclusionary condition (i.e., schizophrenia, Tourette's syndrome, or Huntington's disease).

RESULTS

Among 8201 Veterans without an indication for antipsychotics at baseline, 21.1% initiated antipsychotics and 3.5% were newly diagnosed with any exclusionary diagnosis after CNH admission. Schizophrenia accounted for almost all (96.8%) the new diagnoses. Antipsychotic initiation increased with higher CNH antipsychotic use rates: OR = 2.55, 95% CI: 2.08--3.12, quintile 5 versus 1. CNHs with the highest prevalent use of antipsychotics were associated with increased odds of Veterans acquiring an exclusionary diagnosis (OR = 2.09, 95% CI: 1.32-3.32, quintile 5 vs. 1).

CONCLUSIONS

Incident antipsychotic use is common among Veterans admitted to CNHs. CNH antipsychotic prescribing practices are associated with Veterans being newly diagnosed with antipsychotic prescription indications, primarily schizophrenia.

Health Care for Our Nation's Veterans: A Policy Paper From the American College of Physicians

The Veterans Health Administration (VHA) is the United States' largest integrated health care delivery system, serving over 9 million enrollees at nearly 1300 health care facilities. In addition to providing health care to the nation's military veterans, the VHA has a research and development program, trains thousands of medical residents and other health care professionals, and conducts emergency preparedness and response activities. The VHA has been celebrated for delivering high-quality care to veterans, early adoption of electronic medical records, and high patient satisfaction. However, the system faces challenges, including implementation of an expanded community care program, modernization of its electronic medical records system, and providing care to a population with complex needs. The position paper offers policy recommendations on VHA funding, the community care program, medical and health care professions training, and research and development.

The Correlation Between Case Total Work Relative Value Unit, Operative Stress, and Patient Frailty: Retrospective Cohort Study

OBJECTIVE

Assess the relationships between case total work relative value units (wRVU), patient frailty, and the physiologic stress of surgical interventions.

SUMMARY OF BACKGROUND DATA

Surgeon reimbursement is frequently apportioned by wRVU. These subjective, procedure-specific valuations generated by physician survey estimate the intensity and time for typical patient care services. We hypothesized wRVU would not adequately account for patient-specific factors, such as frailty, that modify the required physician work, regardless of procedural complexity.

METHODS

Using National and Veterans Affairs Surgical Quality Improvement Programs (2015-2018), we evaluated the correlation between case total wRVU, patient frailty (risk analysis index) and physiologic surgical stress (operative stress score).

RESULTS

Of 4,111,371 (86%) cases, the correlation between total wRVU and operative stress was moderate [ρs = 0.587 (95% confidence interval, 0.586-0.587)], but negligible with frailty ρ = 0.177 (95% confidence interval, 0.176-0.178)]. Very high operative stress procedures [n = 34,047 (1%)] generated a mean total wRVU of 55.1 (standard deviation, 12.9), comprising 7%, 2%, and 1% of thoracic, vascular, and general surgical cases, respectively. Very frail patients [n = 152,535 (4%)] accounted for 9% of thoracic, 9% of vascular, 4% of general, 5% of urologic, and 4% of neurologic surgical cases, generating 21.0 (standard deviation, 12.4) mean total wRVU. Some nonfrail patients undergoing low operative stress procedures [n = 60,128 (2%)] nonetheless generated the highest quintile wRVU; these comprised >15% of plastic, gynecologic, and urologic surgical cases.

CONCLUSIONS

Surgeon reimbursement correlates with operative stress but not patient frailty. The total wRVU does not adequately reflect patient-specific factors that increase the physician workload required to render optimal care to complex patients.

Did Access to Care Improve Since Passage of the Veterans Choice Act?: Differences Between Rural and Urban Veterans

BACKGROUND

The 2014 Veterans Choice Program aimed to improve care access for Veterans through expanded availability of community care (CC). Increased access to CC could particularly benefit rural Veterans, who often face obstacles in obtaining medical care at the Veterans Health Administration (VHA). However, whether Veterans Choice Program improved timely access to care for this vulnerable population is understudied.

OBJECTIVES

To examine wait times among rural and urban Veterans for 5 outpatient specialty care services representing the top requests for CC services among rural Veterans.

RESEARCH DESIGN

Retrospective study using VHA and CC outpatient consult data from VHA's Corporate Data Warehouse in Fiscal Year (FY) 2015 (October 1, 2014 to September 30, 2015) and FY2018 (October 1, 2017 to September 30, 2018).

SUBJECTS

All Veterans who received a new patient consult for physical therapy, cardiology, optometry, orthopedics, and/or dental services in VHA and/or CC.

MEASURES

Wait time, care setting (VHA/CC), rural/urban status, sociodemographics, and comorbidities.

RESULTS

Our sample included 1,112,876 Veterans. Between FY2015 and FY2018, mean wait times decreased for all services for both rural and urban Veterans; declines were greatest in VHA (eg, mean optometry wait times for rural Veterans in VHA vs. CC declined 8.3 vs. 6.4 d, respectively, P<0.0001). By FY2018, for both rural and urban Veterans, CC mean wait times for most services were longer than VHA wait times.

CONCLUSIONS

Timely care access for all Veterans improved between FY15 and FY18, particularly in VHA. As expansion of CC continues under the MISSION Act, more research is needed to evaluate quality of care across VHA and CC and what role, if any, wait times play.

Developing network adequacy standards for VA Community Care

OBJECTIVES

To inform how the VA should develop and implement network adequacy standards, we convened an expert panel to discuss Community Care Network (CCN) adequacy and how VA might implement network adequacy standards for community care.

DATA SOURCES/STUDY SETTING

Data were generated from expert panel ratings and from an audio-recorded expert panel meeting conducted in Arlington, Virginia, in October 2017.

STUDY DESIGN

We used a modified Delphi panel process involving one round of expert panel ratings provided by nine experts in network adequacy standards. Expert panel members received a list of network adequacy standard measures used in commercial and government market and were provided a rating form listing a total of 11 measures and characteristics to rate.

DATA COLLECTION METHODS

Items on the rating form were individually discussed during an expert panel meeting between the nine expert panel members and VA Office of Community Care leaders. Attendees addressed discordant views and generated revised or new standards accordingly. Recorded audio data were transcribed to facilitate thematic analysis regarding opportunities and challenges with implementing network adequacy standards in VA Community Care.

PRINCIPAL FINDINGS

The five highest ranked standards were network directories for Veterans, regular reporting of network adequacy data to VA, maximum wait time/distance standards, minimum ratio of providers to enrolled population, and qualitative assessments of network adequacy. During the expert panel discussion with VA Community Care leaders, opportunities and challenges implementing network adequacy standards were highlighted.

CONCLUSIONS

Our expert panel shed light on priorities for network adequacy to be implemented under CCN contracts, such as developing comprehensive provider directories for Veterans to use when selecting community providers. Remaining questions focus on whether the VA could reasonably develop and implement network adequacy standards given current Congressional restraints on VA reimbursement to community providers.

Video Telehealth Occupational Therapy Services for Older Veterans: National Survey Study

BACKGROUND

Occupational therapy (OT) is a vital service that supports older adults' ability to age in place. Given the barriers to accessing care, video telehealth is a means of providing OT. Even within Veterans Health Administration (VHA), a pioneer in telehealth, video telehealth by OT practitioners to serve older adults is not well understood.

OBJECTIVE

This study examines VHA OT practice using video telehealth with older veterans using an implementation framework.

METHODS

A web-based national survey of VHA OT practitioners conducted between September and October 2019 contained a mix of mostly closed questions with some open-text options. The questions were developed using the Promoting Action on Research Implementation in Health Services model with input from subject matter experts. The questions gathered the extent to which VHA OT practitioners use video telehealth with older veterans; are comfortable with video telehealth to deliver specific OT services; and, for those using video telehealth with older veterans, the barriers, facilitators of change, and perceived benefits of video telehealth.

RESULTS

Of approximately 1455 eligible VHA OT practitioners, 305 participated (21.0% response rate). Most were female (196/259, 75.7%) occupational therapists (281/305, 92.1%) with a master's degree (147/259, 56.8%) and 10 years or fewer (165/305, 54.1%) of VHA OT practice. Less than half (125/305, 41.0%) had used video telehealth with older veterans, and users and nonusers of video telehealth were demographically similar. When asked to rate perceived comfort with video telehealth to deliver OT services, participants using video telehealth expressed greater comfort than nonusers, which was significant for 9 of the 13 interventions: activities of daily living (P<.001), instrumental activities of daily living (P=.004), home safety (P<.001), home exercise or therapeutic exercise (P<.001), veteran or caregiver education (P<.001), durable medical equipment (P<.001), assistive technology (P<.001), education and work (P=.04), and wheelchair clinic or seating and positioning (P<.001). More than half (74/125, 59.2%) of those using video telehealth reported at least one barrier, with the most frequently endorsed being Inadequate space, physical locations and related equipment. Most (92/125, 73.6%) respondents using video telehealth reported at least one facilitator, with the most frequently endorsed facilitators reflecting respondent attitudes, including the belief that video telehealth would improve veteran access to care (77/92, 84%) and willingness to try innovative approaches (76/92, 83%).

CONCLUSIONS

Most VHA OT survey respondents had not used video telehealth with older veterans. Users and nonusers were demographically similar. Differences in the percentages of respondents feeling comfortable with video telehealth for specific OT interventions suggest that some OT services may be more amenable to video telehealth. This, coupled with the primacy of respondent beliefs versus organizational factors as facilitators, underscores the need to gather clinicians' attitudes to understand how they are driving the implementation of video telehealth.

Source of Post-Transplant Care and Mortality among Kidney Transplant Recipients Dually Enrolled in VA and Medicare

BACKGROUND AND OBJECTIVES

Many kidney transplant recipients enrolled in the Veterans Health Administration are also enrolled in Medicare and eligible to receive both Veterans Health Administration and private sector care. Where these patients receive transplant care and its association with mortality are unknown.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We conducted a retrospective cohort study of veterans who underwent kidney transplantation between 2008 and 2016 and were dually enrolled in Veterans Health Administration and Medicare at the time of surgery. We categorized patients on the basis of the source of transplant-related care (i.e., outpatient transplant visits, immunosuppressive medication prescriptions, calcineurin inhibitor measurements) delivered during the first year after transplantation defined as Veterans Health Administration only, Medicare only (i.e., outside Veterans Health Administration using Medicare), or dual care (mixed use of Veterans Health Administration and Medicare). Using multivariable Cox regression, we examined the independent association of post-transplant care source with mortality at 5 years after kidney transplantation.

RESULTS

Among 6206 dually enrolled veterans, 975 (16%) underwent transplantation at a Veterans Health Administration hospital and 5231 (84%) at a non-Veterans Health Administration hospital using Medicare. Post-transplant care was received by 752 patients (12%) through Veterans Health Administration only, 2092 (34%) through Medicare only, and 3362 (54%) through dual care. Compared with patients who were Veterans Health Administration only, 5-year mortality was significantly higher among patients who were Medicare only (adjusted hazard ratio, 2.2; 95% confidence interval, 1.5 to 3.1) and patients who were dual care (adjusted hazard ratio, 1.5; 95% confidence interval, 1.1 to 2.1).

CONCLUSIONS

Most dually enrolled veterans underwent transplantation at a non-Veterans Health Administration transplant center using Medicare, yet many relied on Veterans Health Administration for some or all of their post-transplant care. Veterans who received Veterans Health Administration-only post-transplant care had the lowest 5-year mortality.

Comparing cataract surgery complication rates in veterans receiving VA and community care

OBJECTIVES

To compare 90-day postoperative complication rates between Veterans receiving cataract surgery in VA vs Community Care (CC) during the first year of implementation of the Veterans Choice Act.

DATA SOURCES

Fiscal Year (FY) 2015 VA and CC outpatient data from VA's Corporate Data Warehouse (CDW) 10/01/14-9/30/15). FY14 data were used to obtain baseline clinical information prior to surgery.

STUDY DESIGN

Retrospective one-year study using secondary data to compare 90-day complication rates following cataract surgery (measured using National Quality Forum (NQF) criteria) in VA vs CC. NQF defines major complications from a specified list of Current Procedural Terminology (CPT) codes. We ran a series of logistic regression models to predict 90-day complication rates, adjusting for Veterans' sociodemographic characteristics, comorbidities, preoperative ocular conditions, eye risk group, and type of cataract surgery (classified as routine vs complex).

DATA COLLECTION

We linked VA and CC users through patient identifiers obtained from the CDW files. Our sample included all enrolled Veterans who received outpatient cataract surgery either in the VA or through CC during FY15. Cataract surgeries were identified through CPT codes 66 984 (routine) and 66 982 (complex).

PRINCIPAL FINDINGS

Of the 83,879 cataract surgeries performed in FY15, 31 percent occurred through CC. Undergoing complex surgery and having a high-risk eye (based on preoperative ocular conditions) were the strongest clinical predictors of 90-day postoperative complications. Overall, we found low complication rates, ranging from 1.1 percent in low-risk eyes to 3.6 percent in high-risk eyes. After adjustment for important confounders (eg, race, rurality, and preoperative ocular conditions), there were no statistically significant differences in 90-day complication rates between Veterans receiving cataract surgery in VA vs CC.

CONCLUSIONS

As more Veterans seek care through CC, future studies should continue to monitor quality of care across the two care settings to help inform VA's "make vs buy decisions."

VA-Community Dual Care: Veteran and Clinician Perspectives

Many veterans receive care in both community settings and the VA. Recent legislation has increased veteran access to community providers, raising concerns about safety and coordination. This project aimed to understand the benefits and challenges of dual care from the perceptions of both the Veterans their clinicians. We conducted surveys and focus groups of veterans who use both VA and community care in VT and NH. We also conducted a web-based survey and a focus group involving primary care clinicians from both settings. The main measures included (1) reasons that veterans seek care in both settings; (2) problems faced by veterans and clinicians; (3) association of health status and ease of managing care with sites of primary care; and (4) association of veteran rurality with dual care experiences. The primary reasons veterans reported for using both VA and community care were (1) for convenience, (2) to access needed services, and (3) to get a second opinion. Veterans reported that community and VA providers were informed about the others' care more than half the time. Veterans in isolated rural towns reported better overall health and ease of managing their care. VA and community primary care clinicians reported encountering systems problems with dual-care including communicating medication changes, sharing lab and imaging results, communicating with specialists, sharing discharge summaries and managing medication renewals. Both Veterans and their primary clinicians report substantial system issues in coordinating care between the VA and the community, raising the potential for significant patient safety and Veteran satisfaction concerns.

A Comparison of Surgical Quality and Patient Satisfaction Indicators Between VA Hospitals and Hospitals Near VA Hospitals

BACKGROUND

The Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act established a community care program allowing veterans to receive care outside Veteran Affairs Medical Centers (VAMCs). We sought to compare patient safety and satisfaction indicators from VAMCs and surrounding non-VAMCs (non-VAs).

METHODS

We identified VAMCs with at least one non-VA acute care hospital within 25 miles in three geographic regions (West/Southwest, New England, and Deep South). Children's, specialty, and critical access hospitals were excluded. Using publicly available Hospital Compare data, we analyzed VAMC and surrounding non-VA performance in postsurgical patient safety indicator (PSI) events and Hospital Consumer Assessment of Healthcare Providers and Systems patient satisfaction scores and hospital star ratings.

RESULTS

The 34 VAMCs performed better than 319 surrounding non-VAs in rates of wound dehiscence, accidental lacerations, and perioperative hemorrhage/hematoma as well as composite PSI rating (P < 0.05). VAMCs performed significantly better than non-VAs (18.0 versus 51.4 events per 1000 patients, P < 0.001) in composite surgery-specific PSIs. When comparing mean linear Hospital Consumer Assessment of Healthcare Providers and Systems score star ratings (1-5 scale), VAMCs had similar performance in overall hospital rating compared with non-VAs (3.28 versus 3.38, P = 0.48) and summary rating of hospital stays (2.87 versus 2.92, P = 0.69). When compiled patient satisfaction star ratings were compared, there was no difference (2.96 versus 2.97, P = 0.9). VAMCs performed worse than non-VAs in "would recommend" ratings (2.7 versus 3.13, P = 0.007).

CONCLUSIONS

Across disparate regions, VAMCs match or outperform neighboring non-VAs in surgical quality metrics and patient satisfaction ratings. Veterans receiving surgical care at VAMCs may receive equivalent or better care than at non-VAs.

Completing the MISSION: a Blueprint for Helping Veterans Make the Most of New Choices

The June 6, 2019, implementation of the VA Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act commenced a new era in health care for Veterans in which the more than 9 million Veterans who use VA care can now choose community (i.e., non-VA) clinicians or facilities when certain new criteria are met. This expansion of Veterans' health care options could give many Veterans more freedom to decide which settings best meet their individual needs and expectations, and could also lead to unintended consequences for Veterans who do not have all of the information they need to make personalized decisions about VA and community care. In this Perspective article, we recommend initial steps that VA leaders and VA clinicians need to take, and community clinicians should be aware of, in order to ensure that Veterans' expanded health care options translate into improvements in their access and outcomes.

Predicting Primary Care Use Among Patients in a Large Integrated Health System: The Role of Patient Experience Measures

OBJECTIVE

Most Veterans Affairs (VA) Health Care System enrollees age 65+ also have the option of obtaining care through Medicare. Reliance upon VA varies widely and there is a need to optimize its prediction in an era of expanding choice for veterans to obtain care within or outside of VA. We examined whether survey-based patient-reported experiences improved prediction of VA reliance.

METHODS

VA and Medicare claims in 2013 were linked to construct VA reliance (proportion of all face-to-face primary care visits), which was dichotomized (=1 if reliance >50%). We predicted reliance in 83,143 Medicare-eligible veterans as a function of 61 baseline characteristics in 2012 from claims and the 2012 Survey of Healthcare Experiences of Patients. We estimated predictive performance using the cross-validated area under the receiver operating characteristic (AUROC) curve, and assessed variable importance using the Shapley value decomposition.

RESULTS

In 2012, 68.9% were mostly VA reliant. The AUROC for the model including claims-based predictors was 0.882. Adding patient experience variables increased AUROC to 0.890. The pseudo R for the full model was 0.400. Baseline reliance and patient experiences accounted for 72.0% and 11.1% of the explained variation in reliance. Patient experiences related to the accessibility of outpatient services were among the most influential predictors of reliance.

CONCLUSION

The addition of patient experience variables slightly increased predictive performance. Understanding the relative importance of patient experience factors is critical for informing what VA reform efforts should be prioritized following the passage of the 2018 MISSION Act.

Users Of Veteran-Directed Care And Other Purchased Care Have Similar Hospital Use And Costs Over Time

The Veteran-Directed Care (VDC) program facilitates independent community living among adults with multiple chronic conditions and functional limitations. Family caregivers value the choice and flexibility afforded by VDC, but rigorous evidence to support its impact on health care costs and use is needed. We identified veterans enrolled in VDC in fiscal year 2017 and investigated differences in hospital admissions and costs after initial receipt of VDC services. We compared VDC service recipients to a matched comparison group of veterans receiving homemaker or home health aide, home respite, and adult day health care services and found similar decreases in hospital use and costs from before to after enrollment in the groups. Further investigation into trends of nursing home use, identification of veterans most likely to benefit from VDC, and relative costs of operating VDC versus other purchased care programs is needed, but our results suggest that VDC remains a valuable option for supporting veterans and caregivers.

Understanding Maternity Care Coordination for Women Veterans Using an Integrated Care Model Approach

BACKGROUND

An increasing number of women veterans are using VA maternity benefits for their pregnancies. However, because the VA does not offer obstetrical care, women must seek maternity care from non-VA providers. The growing number of women using non-VA care has increased the importance of understanding how this care is integrated with ongoing VA medical and mental health services and how perceptions of care integration impact healthcare utilization. Therefore, we sought to understand these relationships among a sample of postpartum veterans utilizing VA maternity benefits.

METHODS

We fielded a modified version of the Patient Perceptions of Integrated Care survey among a sample of postpartum veterans who had utilized VA maternity benefits for their pregnancies (n = 276). We assessed relationships between perceptions of six domains of patient-reported integrated care, indicating how well-integrated patients perceived the care received from VA and non-VA clinicians, and utilization of mental healthcare following pregnancy.

RESULTS

Domain scores were highest for items focused on VA care, including test result communication and VA provider's knowledge of patient's medical conditions. Scores were lower for obstetrician's knowledge of patient's medical history. Women with depressive symptom scores indicative of depression rated test result communication as highly integrated, while women who received mental healthcare following pregnancy had low integrated care ratings for the Support for Medication and Home Health Management domain, indicating a lack of support for mental health conditions following pregnancy.

DISCUSSION

Among a group of postpartum veterans, poor ratings of integrated care across some domains were associated with higher rates of mental healthcare use following pregnancy. Further assessment of integrated care by patients may assist VA providers and policymakers in developing systems to ensure integrated care for veterans who receive care outside the VA.

The Impact of Trust, Satisfaction, and Perceived Quality on Preference for Setting of Future Care Among Veterans With PTSD

Introduction

Among US veterans, posttraumatic stress disorder (PTSD) is a high-prevalence condition; more than a million veterans of all combat eras are service-connected for this condition. Research on factors driving veterans’ decision-making regarding preferred setting for PTSD care has been limited. The purpose of this study was to understand factors associated with preferences for setting of future PTSD care among veterans service-connected for PTSD.

Materials and Methods

We conducted a cross-sectional mailed survey among veterans with service connection for PTSD in Texas and Vermont identified from the Veterans Services Network Corporate Mini Master File (VETSNET). Survey items were intended to elucidate PTSD healthcare decision-making and queried utilization, perceived need for care, and satisfaction and preferences for VA, community, and/or military setting for receipt of future PTSD care. Logistic regression was used to identify factors associated with preference for care setting. UT Health San Antonio’s Institutional Review Board determined this quality improvement project to be non-research.

Results

Veterans (n = 2,327) were surveyed with an overall response rate of 37.1%. Most veterans (72.4%) identified VA as a preferred site for their future PTSD care; a substantial, but smaller, number of veterans identified being interested in receiving care in community (39.9%) and military (12.7%) settings. Factors associated with preferences for future care setting included demographics (e.g., ethnicity, income), availability of healthcare coverage, prior experiences of care, and attitudes related to perceived quality of care and trust in VA.

Conclusions

These findings suggest that it is important to retain foundational mental health services within VA, as well as to continue to invest in building provider and network capacity in community settings, to ensure alignment with veteran preferences for care setting.

Dual Receipt of Prescription Opioids From the Department of Veterans Affairs and Medicare Part D and Prescription Opioid Overdose Death Among Veterans: A Nested Case-Control Study

BACKGROUND

More than half of enrollees in the U.S. Department of Veterans Affairs (VA) are also covered by Medicare and can choose to receive their prescriptions from VA or from Medicare-participating providers. Such dual-system care may lead to unsafe opioid use if providers in these 2 systems do not coordinate care or if prescription use is not tracked between systems.

OBJECTIVE

To evaluate the association between dual-system opioid prescribing and death from prescription opioid overdose.

DESIGN

Nested case-control study.

SETTING

VA and Medicare Part D.

PARTICIPANTS

Case and control patients were identified from all veterans enrolled in both VA and Part D who filled at least 1 opioid prescription from either system. The 215 case patients who died of a prescription opioid overdose in 2012 or 2013 were matched (up to 1:4) with 833 living control patients on the basis of date of death (that is, index date), using age, sex, race/ethnicity, disability, enrollment in Medicaid or low-income subsidies, managed care enrollment, region and rurality of residence, and a medication-based measure of comorbid conditions.

MEASUREMENTS

The exposure was the source of opioid prescriptions within 6 months of the index date, categorized as VA only, Part D only, or VA and Part D (that is, dual use). The outcome was unintentional or undetermined-intent death from prescription opioid overdose, identified from the National Death Index. The association between this outcome and source of opioid prescriptions was estimated using conditional logistic regression with adjustment for age, marital status, prescription drug monitoring programs, and use of other medications.

RESULTS

Among case patients, the mean age was 57.3 years (SD, 9.1), 194 (90%) were male, and 181 (84%) were non-Hispanic white. Overall, 60 case patients (28%) and 117 control patients (14%) received dual opioid prescriptions. Dual users had significantly higher odds of death from prescription opioid overdose than those who received opioids from VA only (odds ratio [OR], 3.53 [95% CI, 2.17 to 5.75]; P < 0.001) or Part D only (OR, 1.83 [CI, 1.20 to 2.77]; P = 0.005).

LIMITATION

Data are from 2012 to 2013 and cannot capture prescriptions obtained outside the VA or Medicare Part D systems.

CONCLUSION

Among veterans enrolled in VA and Part D, dual use of opioid prescriptions was independently associated with death from prescription opioid overdose. This risk factor for fatal overdose among veterans underscores the importance of care coordination across health care systems to improve opioid prescribing safety.

PRIMARY FUNDING SOURCE

U.S. Department of Veterans Affairs.

Community Health Centers Could Provide Better Outsourced Primary Care for Veterans

The "VA Mission Act of 2018" will expand the current "Choice Program" legislation of 2014, which has enabled outsourcing of VA care to private physicians. As the ranks of Veteran patients swell, Congress intended that the Mission Act will help relieve the VHA's significant access problems. We contend that this new legislation will have negative consequences for veterans by diverting support from our VA system of 1300 hospitals and clinics. We recommend modification of this legislation, promoting much greater utilization of Community Health Centers (CHCs) for veterans outsourced primary care. In support of this proposal, we describe (1) features of the "VA Mission Act" relevant to outsourcing, (2) the challenges of the present "Choice Program" and likely future obstacles with the new legislation, and (3) the advantages of expanding CHC VA outsourced primary care. This policy would focus more on providing specialized care for veterans in the VA system, while coordinating with CHCs for the necessary expanded outsourced, holistic primary care. We conclude that failure to develop an incremental, cost-effective alternative as described herein represents a potential threat to adequate future support of our VA hospital system, and thus outstanding care for our veterans.

Differences in Risk Scores of Veterans Receiving Community Care Purchased by the Veterans Health Administration

OBJECTIVE

To assess differences in risk (measured by expected costs associated with sociodemographic and clinical profiles) between Veterans receiving outpatient services through two community care (CC) programs: the Fee program ("Fee") and the Veterans Choice Program ("Choice").

DATA SOURCES/STUDY SETTING

Administrative data from VHA's Corporate Data Warehouse in fiscal years (FY) 2014-2015.

STUDY DESIGN

We compared the clinical characteristics of Veterans across three groups (Fee only, Choice only, and Fee & Choice). We classified Veterans into risk groups based on Nosos risk scores and examined the relationship between type of outpatient utilization and risk within each CC group. We also examined changes in utilization of VHA and CC in FY14-FY15. We used chi-square tests, t tests, and ANOVAs to identify significant differences between CC groups.

PRINCIPAL FINDINGS

Of the 1,400,977 Veterans using CC in FY15, 91.4 percent were Fee-only users, 4.4 percent Choice-only users, and 4.2 percent Fee & Choice users. Mean concurrent risk scores were higher for Fee only and Fee & Choice (1.9, SD = 2.7; 1.8, SD = 2.2) compared to Choice-only users (1.0, SD = 1.2) (p < .0001). Most CC users were "dual users" of both VHA and CC in FY14-FY15.

CONCLUSIONS

As care transitions from VHA to CC, VHA should consider how best to coordinate care with community providers to reduce duplication of efforts, improve handoffs, and achieve the best outcomes for Veterans.

Fee-for-Service Medicare-Enrolled Elderly Veterans Are Increasingly Voting with Their Feet to Use More VA and Less Medicare, 2003-2014

OBJECTIVE

To examine the long-term reliance on outpatient care at the population (i.e., system) level among fee-for-service Medicare-enrolled elderly veterans in the Department of Veterans Affairs (VA) health care system and Medicare from 2003 to 2014.

DATA SOURCES/STUDY SETTING

We analyzed a 5 percent random sample, stratified by facility, age, gender, and race, of Medicare-enrolled veterans enrolled in a VA primary care panel using VA administrative data and Medicare claims.

STUDY DESIGN

We performed a repeated cross-sectional analysis over 48 quarters. VA reliance was defined at the system level as the proportion of total visits (VA + Medicare) that occurred in VA. We examined four visit types and seven high-volume medical subspecialties. We applied direct standardization adjusting for age, gender, and race using the 2010 population distribution of Medicare-enrolled veterans.

PRINCIPAL FINDINGS

Over the 12-year period, VA provided the vast majority of mental health care. Conversely, veterans received slightly more than half of their primary care and most of their specialty care, surgical care, and seven high-volume medical subspecialties through Medicare. However, reliance on VA outpatient care steadily increased over time for all categories of care.

CONCLUSIONS

Despite the controversies about VA access to care, Medicare-enrolled veterans, who have a choice of using VA or Medicare providers, appear to increase their use of VA care prior to the Choice Act.

An Evaluation of Alternatives for Providing Care to Veterans

In 2014, a whistleblower reported that many U.S. veterans died while waiting for care at the Phoenix VHA. Problems with veteran's care through 2018 reveal ongoing and systematic problem. In March 2018, the VA Inspector General identified critical deficiencies at the Washington, DC VA Medical Center including failures to track patient safety events accurately, ineffective sterile processing and more than 10 thousand open or pending prosthetic/sensory aid consults. The VHA clearly has problems with access and quality in a budget-constrained environment. In this policy analysis, four separate interventions that address the gap between the magnitude as well as the use of the VHA's fixed budget versus access and cost expectations are explored. These policy interventions include maintaining the status quo, returning to a "VHA-only" option, transitioning to a CMS central payer system and consolidating care under the DoD TRICARE insurance plans. An objective evaluation suggests that extending TRICARE to veterans during the phasing out the VHA's care responsibilities, while politically unpalatable, would likely provide the best of four possible solutions under various criterion weighting schemes. A central payer solution under the CMS would also be a viable consideration. Results suggest that TRICARE patient perceptions of quality are superior to VHA and non-VHA/non-DoD, that access provided by the TRICARE program is ranked second in terms of venue acceptance only to the CMS solution set based on primary provider acceptance and that the cost per beneficiary of a TRICARE solution ($6.5 K/beneficiary) is far better than a VHA-only solution ($14.0 K/beneficiary), the CMS central payer solution ($12.2 K/beneficiary), or the status quo (between $12.2 K and $14.0 K/beneficiary). The intent of this paper is to provoke thoughtful consideration of solutions for providing access to high-quality healthcare for veterans within or outside of the VHA.