Which veterans enroll in a VA health information exchange program?

Effect of Health Information Exchange Plus a Care Transitions Intervention on Post-Hospital Outcomes Among VA Primary Care Patients: a Randomized Clinical Trial

BACKGROUND

Health information exchange (HIE) notifications when patients experience cross-system acute care encounters offer an opportunity to provide timely transitions interventions to improve care across systems.

OBJECTIVE

To compare HIE notification followed by a post-hospital care transitions intervention (CTI) with HIE notification alone.

DESIGN

Cluster-randomized controlled trial with group assignment by primary care team.

PATIENTS

Veterans 65 or older who received primary care at 2 VA facilities who consented to HIE and had a non-VA hospital admission or emergency department visit between 2016 and 2019.

INTERVENTIONS

For all subjects, real-time HIE notification of the non-VA acute care encounter was sent to the VA primary care provider. Subjects assigned to HIE plus CTI received home visits and telephone calls from a VA social worker for 30 days after arrival home, focused on patient activation, medication and condition knowledge, patient-centered record-keeping, and follow-up.

MEASURES

Primary outcome: 90-day hospital admission or readmission.

SECONDARY OUTCOMES

emergency department visits, timely VA primary care team telephone and in-person follow-up, patients' understanding of their condition(s) and medication(s) using the Care Transitions Measure, and high-risk medication discrepancies.

KEY RESULTS

A total of 347 non-VA acute care encounters were included and assigned: 159 to HIE plus CTI and 188 to HIE alone. Veterans were 76.9 years old on average, 98.5% male, 67.8% White, 17.1% Black, and 15.1% other (including Hispanic). There was no difference in 90-day hospital admission or readmission between the HIE-plus-CTI and HIE-alone groups (25.8% vs. 20.2%, respectively; risk diff 5.6%; 95% CI - 3.3 to 14.5%, p = .25). There was also no difference in secondary outcomes.

CONCLUSIONS

A care transitions intervention did not improve outcomes for veterans after a non-VA acute care encounter, as compared with HIE notification alone. Additional research is warranted to identify transitions services across systems that are implementable and could improve outcomes.

A NATIONAL SURVEY ASSESSING HEALTH INFORMATION EXCHANGE: READINESS FOR CHANGES TO VETERANS AFFAIRS ACCESS STANDARDS

We conducted a national survey of Health Information Exchanges (HIEs), targeting both not-for profit geographic and enterprise or federated exchanges. The aim of this study is to identify current best practices when exchanging information between Veterans Affairs (VA) systems and non-VA health systems. We identified and classified current interactions between HIEs and VA systems given recent passage of the MISSION Act. The MISSION Act allows veterans to seek care outside the VA health system, necessitating the need to reconcile care planning between VA systems and private care settings. We identified several differing best practices concerning information exchange between VA health systems and HIEs and assessed capabilities for HIEs to appropriately identify eligible VA participants within extant databases.

Racial differences in patient consent policy preferences for electronic health information exchange

OBJECTIVE

This study aimed to explore the association between demographic variables, such as race and gender, and patient consent policy preferences for health information exchange as well as self-report by VHA enrollees of information continuity between Veterans Health Administration (VHA) and community non-VHA heath care providers.

MATERIALS AND METHODS

Data were collected between March 25, 2016 and August 22, 2016 in an online survey of 19 567 veterans. Three questions from the 2016 Commonwealth Fund International Health Policy Survey, which addressed care continuity, were included. The survey also included questions about consent policy preference regarding opt-out, opt-in, and "break the glass" consent policies.

RESULTS

VHA enrollees had comparable proportions of unnecessary laboratory testing and conflicting information from providers when compared with the United States sample in the Commonwealth Survey. However, they endorsed medical record information being unavailable between organizations more highly. Demographic variables were associated with gaps in care continuity as well as consent policy preferences, with 56.8% of Whites preferring an opt-out policy as compared with 40.3% of Blacks, 44.9% of Hispanic Latinos, 48.3% of Asian/Pacific Islanders, and 38.3% of Native Americans (P < .001).

DISCUSSION

Observed large differences by race and ethnicity in privacy preferences for electronic health information exchange should inform implementation of these programs to ensure cultural sensitivity. Veterans experienced care continuity comparable to a general United States sample, except for less effective exchange of health records between heath care organizations. VHA followed an opt-in consent policy at the time of this survey which may underlie this gap.

Leadership Perspectives on Implementing Health Information Exchange: Qualitative Study in a Tertiary Veterans Affairs Medical Center

Background

The US Department of Veterans Affairs (VA) seeks to achieve interoperability with other organizations, including non-VA community and regional health information exchanges (HIEs).

Objective

This study aims to understand the perspectives of leaders involved in implementing information exchange between VA and non-VA providers via a community HIE.

Methods

We interviewed operational, clinical, and information technology leaders at one VA facility and its community HIE partner. Respondents discussed their experiences with VA-HIE, including barriers and facilitators to implementation, and the associated impact on health care providers. Transcribed interviews were coded and analyzed using immersion-crystallization methods.

Results

VA and community HIE leaders found training to be a key factor when implementing VA-HIE and worked cooperatively to provide several styles and locations of training. During recruitment, a high-touch approach was successfully used to enroll patients and overcome their resistance to opting in. Discussion with leaders revealed the high levels of complexity navigated by VA providers and staff to send and retrieve information. Part of the complexity stemmed from the interconnected web of information systems and human teams necessary to implement VA-HIE information sharing. These interrelationships must be effectively managed to guide organizational decision making.

Conclusions

Organizational leaders perceived information sharing to be of essential value in delivering high-quality, coordinated health care. The VA continues to increase access to outside care through the VA Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act. Along with this increase in non-VA medical care, there is a need for greater information sharing between VA and non-VA health care organizations. Insights by leaders into barriers and facilitators to VA-HIE can be applied by other national and regional networks that seek to achieve interoperability across health care delivery systems.

An Evaluation of Statin Use Among Patients with Type 2 Diabetes at High Risk of Cardiovascular Events Across Multiple Health Care Systems

BACKGROUND

Patients with more than one chronic condition often receive care from several providers and facilities, which may lead to fragmentation of care. Poor care coordination in dual health care system use has been associated with increased emergency department visits, hospitalizations, and costs.

OBJECTIVE

Dual health care system use is increasing among veterans, and we sought to evaluate the effect of dual health care system use on statin treatment in veterans with type 2 diabetes at high risk of cardiovascular events, using varying degrees of Centers for Medicare & Medicaid Services (CMS) services.

METHODS

This was a 10-year retrospective longitudinal cohort study of national clinical and administrative data that included 689,138 veterans with type 2 diabetes who were aged 65 years or older on January 1, 2006. Patients were followed from January 1, 2007, until December 31, 2016. Administrative and clinical data from the Veterans Health Administration's (VHA) Corporate Data Warehouse were merged with CMS inpatient, outpatient, and pharmacy data. Statin use was defined as any therapy and subcategorized as high versus low or moderate intensity per the American College of Cardiology/American Heart Association guidelines. Marginal generalized estimating equation-type models for longitudinal data were used to model the association between dual health care utilization status (< 50%, 50%-80%, and > 80% VHA utilization, with the first group serving as the reference group) and statin use after adjusting for measured covariates.

RESULTS

The mean ages at baseline for each group were similar and ranged between 75.4 and 76.9 years. For the outcome of any statin use, the group with < 50% VHA utilization was significantly less likely to receive statin therapy compared with the group with > 80% VHA utilization (OR = 0.26, 95% CI = 0.26-0.26), while the group with 50%-80% VHA utilization was slightly more likely (OR = 1.05, 95% CI = 1.04-1.07). Similarly, for the high-intensity versus low-/moderate-intensity or no statins outcome, the group with < 50% VHA utilization was significantly less likely to receive a high-intensity statin compared with the group with > 80% VHA utilization (OR = 0.56, 95% CI = 0.55-0.57), while the group with 50%-80% VHA utilization was only slightly less likely (OR = 0.95, 95% CI =0.94-0.96).

CONCLUSIONS

Among veterans with diabetes at high risk of cardiovascular events, dual health care system utilization status appeared to affect statin use. We observed lower odds for any statin use and high-intensity statin therapy among the cohort with the lowest degree of VHA utilization (i.e., < 50%). Interventions to increase statin use among veterans at high risk of cardiovascular events with lower degrees of VHA utilization should be explored.

DISCLOSURES

This study was supported by a grant funded by the Department of Veterans Affairs' Health Services Research and Development Service and was undertaken at the Health Equity and Rural Outreach Center (HEROIC) at Ralph H. Johnson Veteran Affairs Medical Center, Charleston, SC. The authors report no potential conflicts of interest relevant to this article. This article represents the views of the authors and not those of the Medical University of South Carolina or Veteran Health Administration.

Characteristics Associated With Receiving Cataract Surgery in the US Medicare and Veterans Health Administration Populations

Importance

Considerable variation exists with respect to the profiles of patients who receive cataract surgery in the United States.

Objective

To identify patient characteristics associated with receiving cataract surgery within the US Medicare and Veterans Health Administration (VHA) populations.

Design, Setting, and Participants

In this population-based retrospective cohort study of 3 073 465 patients, Medicare and VHA patients with a cataract diagnosis between January 1, 2002, and January 1, 2012, were identified from the 2002-2012 Medicare Part B files (5% sample) and the VHA National Patient Care Database. Patient age, sex, race/ethnicity, region of residence, Charlson Comorbidity Index (CCI) scores, and comorbidities were recorded. Cataract surgery at 1 and 5 years after diagnosis was identified. Data analysis was performed from July 1, 2016, to July 1, 2017.

Main Outcomes and Measures

Odds ratios (ORs) of cataract surgery for selected patient characteristics.

Results

The study sample included 1 156 211 Medicare patients (mean [SD] age, 73.7 [7.0] years) and 1 917 254 VHA patients (mean [SD] age, 66.8 [10.2] years) with a cataract diagnosis. Of the 1 156 211 Medicare patients, 407 103 (35.2%) were 65 to 69 years old, 683 036 (59.1%) were female, and 1 012 670 (87.6%) were white. Of the 1 917 254 VHA patients, 905 455 (47.2%) were younger than 65 years, 1 852 158 (96.6%) were male, and 539 569 (28.1%) were white. A greater proportion of Medicare patients underwent cataract surgery at 1 year (Medicare: 213 589 [18.5%]; VHA: 120 196 [6.3%]) and 5 years (Medicare: 414 586 [35.9%]; VHA: 240 884 [12.6%]) after diagnosis. Factors associated with the greatest odds of surgery at 5 years were older age per 5-year increase (Medicare: OR, 1.24 [95% CI, 1.23-1.24]; VHA: OR, 1.18 [95% CI, 1.17-1.18]), residence in the southern United States vs eastern United States (Medicare: OR, 1.38 [95% CI, 1.36-1.40]; VHA: OR, 1.40 [95% CI, 1.38-1.41]), and presence of chronic pulmonary disease (Medicare: OR, 1.26 [95% CI, 1.24-1.27]; VHA: OR, 1.40 [95% CI, 1.38-1.41]). Within Medicare, female sex was associated with greater odds of surgery at 5 years (OR, 1.14; 95% CI, 1.13-1.15). Higher CCI scores (CCI score ≥3 vs 0-2) were associated with increased odds of surgery among VHA but not Medicare patients at 5 years (Medicare: OR, 0.94 [95% CI, 0.92-0.95]; VHA: OR, 1.24 [95% CI, 1.23-1.36]). Black race vs white race was associated with decreased odds of cataract surgery 5 years after diagnosis (Medicare: OR, 0.79 [95% CI, 0.78-0.81]; VHA: OR, 0.75 [95% CI, 0.73-0.76]).

Conclusions and Relevance

Within both groups, older age, residence in the southern United States, and presence of chronic pulmonary disease were associated with increased odds of cataract surgery. Findings from this study suggest that few disparities exist between the types of patients receiving cataract surgery who are in Medicare vs the VHA, although it is possible that a smaller proportion of VHA patients receive surgery compared with Medicare patients.

Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial

BACKGROUND

Coordination of care, especially after a patient experiences an acute care event, is a challenge for many health systems. Event notification is a form of health information exchange (HIE) which has the potential to support care coordination by alerting primary care providers when a patient experiences an acute care event. While promising, there exists little evidence on the impact of event notification in support of reengagement into primary care. The objectives of this study are to 1) examine the effectiveness of event notification on health outcomes for older adults who experience acute care events, and 2) compare approaches to how providers respond to event notifications.

METHODS

In a cluster randomized trial conducted across two medical centers within the U.S. Veterans Health Administration (VHA) system, we plan to enroll older patients (≥ 65 years of age) who utilize both VHA and non-VHA providers. Patients will be enrolled into one of three arms: 1) usual care; 2) event notifications only; or 3) event notifications plus a care transitions intervention. In the event notification arms, following a non-VHA acute care encounter, an HIE-based intervention will send an event notification to VHA providers. Patients in the event notification plus care transitions arm will also receive 30 days of care transition support from a social worker. The primary outcome measure is 90-day readmission rate. Secondary outcomes will be high risk medication discrepancies as well as care transitions processes within the VHA health system. Qualitative assessments of the intervention will inform VHA system-wide implementation.

DISCUSSION

While HIE has been evaluated in other contexts, little evidence exists on HIE-enabled event notification interventions. Furthermore, this trial offers the opportunity to examine the use of event notifications that trigger a care transitions intervention to further support coordination of care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02689076. "Regional Data Exchange to Improve Care for Veterans After Non-VA Hospitalization." Registered 23 February 2016.

Recommendations for the Evaluation of Cross-System Care Coordination from the VA State-of-the-art Working Group on VA/Non-VA Care

In response to widespread concerns regarding Veterans' access to VA care, Congress enacted the Veterans Access, Choice and Accountability Act of 2014, which required VA to establish the Veterans Choice Program (VCP). Since the inception of VCP, more than two million Veterans have received care from community providers, representing approximately 25% of Veterans enrolled in VA care. However, expanded access to non-VA care has created challenges in care coordination between VA and community health systems. In March 2018, the VA Health Services Research & Development Service hosted a VA State of the Art conference (SOTA) focused on care coordination. The SOTA convened VA researchers, program directors, clinicians, and policy makers to identify knowledge gaps regarding care coordination within the VA and between VA and community systems of care. This article provides a summary and synthesis of relevant literature and provides recommendations generated from the SOTA about how to evaluate cross-system care coordination. Care coordination is typically evaluated using health outcomes including hospital readmissions and death; however, in cross-system evaluations of care coordination, measures such as access, cost, Veteran/patient and provider satisfaction (including with cross-system communication), comparable quality metrics, context (urban vs. rural), and patient complexity (medical and mental health conditions) need to be included to fully evaluate care coordination effectiveness. Future research should examine the role of multiple individuals coordinating VA and non-VA care, and how these coordinators work together to optimize coordination.

Using electronic health record data for environmental and place based population health research: a systematic review

PURPOSE

We conducted a systematic review of literature published on January 2000-May 2017 that spatially linked electronic health record (EHR) data with environmental information for population health research.

METHODS

We abstracted information on the environmental and health outcome variables and the methods and data sources used.

RESULTS

The automated search yielded 669 articles; 128 articles are included in the full review. The number of articles increased by publication year; the majority (80%) were from the United States, and the mean sample size was approximately 160,000. Most articles used cross-sectional (44%) or longitudinal (40%) designs. Common outcomes were health care utilization (32%), cardiometabolic conditions/obesity (23%), and asthma/respiratory conditions (10%). Common environmental variables were sociodemographic measures (42%), proximity to medical facilities (15%), and built environment and land use (13%). The most common spatial identifiers were administrative units (59%), such as census tracts. Residential addresses were also commonly used to assign point locations, or to calculate distances or buffer areas.

CONCLUSIONS

Future research should include more detailed descriptions of methods used to geocode addresses, focus on a broader array of health outcomes, and describe linkage methods. Studies should also explore using longitudinal residential address histories to evaluate associations between time-varying environmental variables and health outcomes.