Supporting the Implementation of Connected Care Technologies in the Veterans Health Administration: Cross-Sectional Survey Findings from the Veterans Engagement with Technology Collaborative (VET-C) Cohort

Background Widespread adoption, use, and integration of patient-facing technologies into the workflow of health care systems has been slow, thus limiting the realization of their potential. A growing body of work has focused on how best to promote adoption and use of these technologies and measure their impacts on processes of care and outcomes. This body of work currently suffers from limitations (eg, cross-sectional analyses, limited patient-generated data linked with clinical records) and would benefit from institutional infrastructure to enhance available data and integrate the voice of the patient into implementation and evaluation efforts. Objective The Veterans Health Administration (VHA) has launched an initiative called the Veterans Engagement with Technology Collaborative cohort to directly address these challenges. This paper reports the process by which the cohort was developed and describes the baseline data being collected from cohort members. The overarching goal of the Veterans Engagement with Technology Collaborative cohort is to directly engage veterans in the evaluation of new VHA patient-facing technologies and in so doing, to create new infrastructure to support related quality improvement and evaluation activities. Methods Inclusion criteria for veterans to be eligible for membership in the cohort included being an active user of VHA health care services, having a mobile phone, and being an established user of existing VHA patient-facing technologies as represented by use of the secure messaging feature of VHA’s patient portal. Between 2017 and 2018, we recruited veterans who met these criteria and administered a survey to them over the telephone. Results The majority of participants (N=2727) were male (2268/2727, 83.2%), White (2226/2727, 81.6%), living in their own apartment or house (2519/2696, 93.4%), and had completed some college (1176/2701, 43.5%) or an advanced degree (1178/2701, 43.6%). Cohort members were 59.9 years old, on average. The majority self-reported their health status as being good (1055/2725, 38.7%) or very good (524/2725, 19.2%). Most cohort members owned a personal computer (2609/2725, 95.7%), tablet computer (1616/2716, 59.5%), and/or smartphone (2438/2722, 89.6%). Conclusions The Veterans Engagement with Technology Collaborative cohort is an example of a VHA learning health care system initiative designed to support the data-driven implementation of patient-facing technologies into practice and measurement of their impacts. With this initiative, VHA is building capacity for future, rapid, rigorous evaluation and quality improvement efforts to enhance understanding of the adoption, use, and impact of patient-facing technologies.

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Supporting the Implementation of Connected Care Technologies in the Veterans Health Administration: Cross-Sectional Survey Findings from the Veterans Engagement with Technology Collaborative (VET-C) Cohort (Preprint)

10.2196/preprints.21214 ◽

2020 ◽

Author(s):

Bella Etingen ◽

Daniel J Amante ◽

Rachael N Martinez ◽

Bridget M Smith ◽

Stephanie L Shimada ◽

...

Keyword(s):

Health Care ◽

Quality Improvement ◽

Veterans Health Administration ◽

Advanced Degree ◽

Patient Portal ◽

Veterans Health ◽

Health Administration ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Clinical Records

BACKGROUND Widespread adoption, use, and integration of patient-facing technologies into the workflow of health care systems has been slow, thus limiting the realization of their potential. A growing body of work has focused on how best to promote adoption and use of these technologies and measure their impacts on processes of care and outcomes. This body of work currently suffers from limitations (eg, cross-sectional analyses, limited patient-generated data linked with clinical records) and would benefit from institutional infrastructure to enhance available data and integrate the voice of the patient into implementation and evaluation efforts. OBJECTIVE The Veterans Health Administration (VHA) has launched an initiative called the Veterans Engagement with Technology Collaborative cohort to directly address these challenges. This paper reports the process by which the cohort was developed and describes the baseline data being collected from cohort members. The overarching goal of the Veterans Engagement with Technology Collaborative cohort is to directly engage veterans in the evaluation of new VHA patient-facing technologies and in so doing, to create new infrastructure to support related quality improvement and evaluation activities. METHODS Inclusion criteria for veterans to be eligible for membership in the cohort included being an active user of VHA health care services, having a mobile phone, and being an established user of existing VHA patient-facing technologies as represented by use of the secure messaging feature of VHA’s patient portal. Between 2017 and 2018, we recruited veterans who met these criteria and administered a survey to them over the telephone. RESULTS The majority of participants (N=2727) were male (2268/2727, 83.2%), White (2226/2727, 81.6%), living in their own apartment or house (2519/2696, 93.4%), and had completed some college (1176/2701, 43.5%) or an advanced degree (1178/2701, 43.6%). Cohort members were 59.9 years old, on average. The majority self-reported their health status as being good (1055/2725, 38.7%) or very good (524/2725, 19.2%). Most cohort members owned a personal computer (2609/2725, 95.7%), tablet computer (1616/2716, 59.5%), and/or smartphone (2438/2722, 89.6%). CONCLUSIONS The Veterans Engagement with Technology Collaborative cohort is an example of a VHA learning health care system initiative designed to support the data-driven implementation of patient-facing technologies into practice and measurement of their impacts. With this initiative, VHA is building capacity for future, rapid, rigorous evaluation and quality improvement efforts to enhance understanding of the adoption, use, and impact of patient-facing technologies.

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Informatics Resources to Support Health Care Quality Improvement in the Veterans Health Administration

Journal of the American Medical Informatics Association ◽

10.1197/jamia.m1548 ◽

2004 ◽

Vol 11 (5) ◽

pp. 344-350 ◽

Cited By ~ 45

Author(s):

Denise M. Hynes ◽

Ruth A. Perrin ◽

Steven Rappaport ◽

Joanne M. Stevens ◽

John G. Demakis

Keyword(s):

Health Care ◽

Quality Improvement ◽

Health Care Quality ◽

Veterans Health Administration ◽

Care Quality ◽

Veterans Health ◽

Health Administration ◽

Health Care Quality Improvement

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Doctoral-prepared nurses in the Veterans Health Administration: A cross-sectional survey

Journal of Professional Nursing ◽

10.1016/j.profnurs.2019.06.008 ◽

2020 ◽

Vol 36 (1) ◽

pp. 62-68 ◽

Cited By ~ 3

Author(s):

Deborah Rugs ◽

Blake Barrett ◽

Margeaux Chavez ◽

Linda Cowan ◽

Christine Melillo ◽

...

Keyword(s):

Veterans Health Administration ◽

Veterans Health ◽

Health Administration ◽

Cross Sectional Survey ◽

Cross Sectional

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The advanced care coordination program: a protocol for improving transitions of care for dual-use veterans from community emergency departments back to the Veterans Health Administration (VA) primary care

BMC Health Services Research ◽

10.1186/s12913-019-4582-3 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 2

Author(s):

Lindsay B. Miller ◽

Heidi Sjoberg ◽

Ashlea Mayberry ◽

Marina S. McCreight ◽

Roman A. Ayele ◽

...

Keyword(s):

Health Care ◽

Quality Improvement ◽

Social Worker ◽

Care Coordination ◽

Veterans Health Administration ◽

Transitions Of Care ◽

Veterans Health ◽

Health Administration ◽

Dual Use ◽

Effective Care

Abstract Background Veterans who access both the Veterans Health Administration (VA) and non-VA health care systems require effective care coordination to avoid adverse health care outcomes. These dual-use Veterans have diverse and complex needs. Gaps in transitions of care between VA and non-VA systems are common. The Advanced Care Coordination (ACC) quality improvement program aims to address these gaps by implementing a comprehensive longitudinal care coordination intervention with a focus on Veterans’ social determinants of health (SDOH) to facilitate Veterans’ transitions of care back to the Eastern Colorado Health Care System (ECHCS) for follow-up care. Methods The ACC program is an ongoing quality improvement study that will enroll dual-use Veterans after discharge from non-VA emergency department (EDs), and will provide Veterans with social worker-led longitudinal care coordination addressing SDOH and providing linkage to resources. The ACC social worker will complete biopsychosocial assessments to identify Veteran needs, conduct regular in-person and phone visits, and connect Veterans back to their VA care teams. We will identify non-VA EDs in the Denver, Colorado metro area that will provide the most effective partnership based on location and Veteran need. Veterans will be enrolled into the ACC program when they visit one of our selected non-VA EDs without being hospitalized. We will develop a program database to allow for continuous evaluation. Continuing education and outreach including the development of a resource guide, Veteran Care Cards, and program newsletters will generate program buy-in and bridge communication. We will evaluate our program using the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework, supported by the Practical, Robust Implementation and Sustainability Model, Theoretical Domains Framework, and process mapping. Discussion The ACC program will improve care coordination for dual-use Veterans by implementing social-work led longitudinal care coordination addressing Veterans’ SDOH. This intervention will provide an essential service for effective care coordination.

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Development of Predictive Informatics Tool Using Electronic Health Records to Inform Personalized Evidence-Based Pressure Injury Management for Veterans with Spinal Cord Injury

Military Medicine ◽

10.1093/milmed/usaa469 ◽

2021 ◽

Vol 186 (Supplement_1) ◽

pp. 651-658

Author(s):

Kath M Bogie ◽

Steven K Roggenkamp ◽

Ningzhou Zeng ◽

Jacinta M Seton ◽

Katelyn R Schwartz ◽

...

Keyword(s):

Risk Factors ◽

Health Care ◽

Spinal Cord ◽

Spinal Cord Injury ◽

User Interface ◽

Veterans Health Administration ◽

Study Cohort ◽

Veterans Health ◽

Health Administration ◽

Cord Injury

ABSTRACT Background Pressure injuries (PrI) are serious complications for many with spinal cord injury (SCI), significantly burdening health care systems, in particular the Veterans Health Administration. Clinical practice guidelines (CPG) provide recommendations. However, many risk factors span multiple domains. Effective prioritization of CPG recommendations has been identified as a need. Bioinformatics facilitates clinical decision support for complex challenges. The Veteran’s Administration Informatics and Computing Infrastructure provides access to electronic health record (EHR) data for all Veterans Health Administration health care encounters. The overall study objective was to expand our prototype structural model of environmental, social, and clinical factors and develop the foundation for resource which will provide weighted systemic insight into PrI risk in veterans with SCI. Methods The SCI PrI Resource (SCI-PIR) includes three integrated modules: (1) the SCIPUDSphere multidomain database of veterans’ EHR data extracted from October 2010 to September 2015 for ICD-9-CM coding consistency together with tissue health profiles, (2) the Spinal Cord Injury Pressure Ulcer and Deep Tissue Injury Ontology (SCIPUDO) developed from the cohort’s free text clinical note (Text Integration Utility) notes, and (3) the clinical user interface for direct SCI-PIR query. Results The SCI-PIR contains relevant EHR data for a study cohort of 36,626 veterans with SCI, representing 10% to 14% of the U.S. population with SCI. Extracted datasets include SCI diagnostics, demographics, comorbidities, rurality, medications, and laboratory tests. Many terminology variations for non-coded input data were found. SCIPUDO facilitates robust information extraction from over six million Text Integration Utility notes annually for the study cohort. Visual widgets in the clinical user interface can be directly populated with SCIPUDO terms, allowing patient-specific query construction. Conclusion The SCI-PIR contains valuable clinical data based on CPG-identified risk factors, providing a basis for personalized PrI risk management following SCI. Understanding the relative impact of risk factors supports PrI management for veterans with SCI. Personalized interactive programs can enhance best practices by decreasing both initial PrI formation and readmission rates due to PrI recurrence for veterans with SCI.

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Predictors of Veterans Health Administration utilization and pain persistence among soldiers treated for postdeployment chronic pain in the Military Health System

BMC Health Services Research ◽

10.1186/s12913-021-06536-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Rachel Sayko Adams ◽

Esther L. Meerwijk ◽

Mary Jo Larson ◽

Alex H. S. Harris

Keyword(s):

Mental Health ◽

Health Care ◽

Chronic Pain ◽

Veterans Health Administration ◽

First Year ◽

Veterans Health ◽

Health Administration ◽

Military Health System ◽

Military Health ◽

The Military

Abstract Background Chronic pain presents a significant burden for both federal health care systems designed to serve combat Veterans in the United States (i.e., the Military Health System [MHS] and Veterans Health Administration [VHA]), yet there have been few studies of Veterans with chronic pain that have integrated data from both systems of care. This study examined 1) health care utilization in VHA as an enrollee (i.e., linkage to VHA) after military separation among soldiers with postdeployment chronic pain identified in the MHS, and predictors of linkage, and 2) persistence of chronic pain among those utilizing the VHA. Methods Observational, longitudinal study of soldiers returning from a deployment in support of the Afghanistan/Iraq conflicts in fiscal years 2008–2014. The analytic sample included 138,206 active duty soldiers for whom linkage to VHA was determined through FY2019. A Cox proportional hazards model was estimated to examine the effects of demographic characteristics, military history, and MHS clinical characteristics on time to linkage to VHA after separation from the military. Among the subpopulation of soldiers who linked to VHA, we described whether they met criteria for chronic pain in the VHA and pain management treatments received during the first year in VHA. Results The majority (79%) of soldiers within the chronic pain cohort linked to VHA after military separation. Significant predictors of VHA linkage included: VHA utilization as a non-enrollee prior to military separation, separating for disability, mental health comorbidities, and being non-Hispanic Black or Hispanic. Soldiers that separated because of misconduct were less likely to link than other soldiers. Soldiers who received nonpharmacological treatments, opioids/tramadol, or mental health treatment in the MHS linked earlier to VHA than soldiers who did not receive these treatments. Among those who enrolled in VHA, during the first year after linking to the VHA, 49.7% of soldiers met criteria for persistent chronic pain in VHA. Conclusions The vast majority of soldiers identified with chronic pain in the MHS utilized care within VHA after military separation. Careful coordination of pain management approaches across the MHS and VHA is required to optimize care for soldiers with chronic pain.

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Transformation of the US Veterans Health Administration

Health Economics Policy and Law ◽

10.1017/s1744133105001222 ◽

2006 ◽

Vol 1 (2) ◽

pp. 99-105 ◽

Cited By ~ 12

Author(s):

Jonathan B. Perlin

Keyword(s):

United States ◽

Health Care ◽

Veterans Health Administration ◽

The United States ◽

Veterans Affairs ◽

United States Department ◽

Veterans Health ◽

Department Of Veterans Affairs ◽

Health Administration ◽

The Us

Ten years ago, it would have been hard to imagine the publication of an issue of a scholarly journal dedicated to applying lessons from the transformation of the United States Department of Veterans Affairs Health System to the renewal of other countries' national health systems. Yet, with the recent publication of a dedicated edition of the Canadian journal Healthcare Papers (2005), this actually happened. Veterans Affairs health care also has been similarly lauded this past year in the lay press, being described as ‘the best care anywhere’ in the Washington Monthly, and described as ‘top-notch healthcare’ in US News and World Report's annual health care issue enumerating the ‘Top 100 Hospitals’ in the United States (Longman, 2005; Gearon, 2005).

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