BACKGROUND: There is increasing recognition of the importance of supporting patients in their health-related goals. Patient-provider discussions and health-related mobile applications (apps) can support patients to pursue health goals; however, their impact on patient goal setting and achievement is not well understood. OBJECTIVE: To examine the relationships between the following: (1) patient demographics, patient-provider discussions, and health-related goal setting and achievement, and (2) patient mobile health app use and goal achievement. DESIGN: Cross-sectional survey. PARTICIPANTS: Veterans who receive Veterans Health Administration (VA) healthcare and are users of VA patient-facing technology. MAIN MEASURES: Veteran demographics, goal-related behaviors, and goal achievement. METHODS: Veterans were invited to participate in a telephone survey. VA administrative data were linked to survey data for additional health and demographic information. Logistic regression models were run to identify factors that predict health-related goal setting and achievement. KEY RESULTS: Among respondents (n=2552), 75% of patients indicated having set health goals in the preceding 6 months and approximately 42% reported achieving their goal. Men (vs. women) had lower odds of setting goals (OR: 0.71; CI95: 0.53-0.97), as did individuals with worse (vs. better) health (OR: 0.18; CI95: 0.04-0.88). Individuals with advanced education-some college/college degrees, and post-college degrees (vs. no college education)-demonstrated higher odds of setting goals (OR: 1.35; CI95: 1.01-1.79; OR: 1.71; CI95: 1.28-2.28, respectively). Those who reported having discussed their goals with their providers were more likely to set goals (OR: 3.60; CI95: 2.97-4.35). Patient mobile health app use was not statistically associated with goal achievement. CONCLUSIONS: Efforts to further promote patient-led goal setting should leverage the influence of patient-provider conversations. Use of patient-facing technologies, specifically mobile health apps, may facilitate goal-oriented care, but further work is needed to examine the potential benefits of apps to support patient goals, particularly if providers discuss and endorse use of those apps with patients.

BACKGROUND: Individuals with spinal cord injuries and disorders (SCI/D) require frequent interdisciplinary health care to address impairments in mobility, autonomic functions, and secondary complications. Telehealth has the capacity to substantially transform healthcare delivery and improve care by increasing access and communication. However, relatively little is known about telehealth use in this specific population. Here, we attempt to fill part of this gap. OBJECTIVE: To investigate the frequency and characteristics associated with telehealth use in Veterans with SCI/D. DESIGN: Cross-sectional, descriptive project SETTING: Veterans Health Administration (VHA) facilities. Participants: 15,028 Veterans living with SCI/D whom received services from the VHA SCI/D System of Care. Intervention: Not applicable Outcome Measures: Frequency and characteristics associated with VHA telehealth utilization. Results: Of the 15,028 Veterans with SCI/D included in the evaluation, 17% used some form of telehealth in VHA Fiscal Year (FY)2017. Veterans over the age of 65 had lower odds (OR = 0.88, p < 0.05, CI: 0.80-0.98) of using telehealth. Being Caucasian (OR = 1.29, p < 0.01, CI: 1.09-1.52), living in rural areas (OR =1.16, p < 0.01, CI: 1.05-1.28), living greater distances away from the VHA (p < 0.01 for all distances), and being in priority group 8, meaning that Veterans have higher copayment requirements (OR=1.46, p < 0.001, CI: 1.19-1.81), were all significantly associated with greater odds of telehealth use. The most frequent types of telehealth used were real-time clinical video and store-and-forward between a provider and patient within the same hub network. Conclusion: There are opportunities to increase telehealth adoption in the SCI/D arena. The findings from this project highlight which Veterans are currently using telehealth services, as well as gaps regarding telehealth adoption in this population.

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.

Online patient portals may be effective for engaging patients with mental health conditions in their own health care. This retrospective database analysis reports patient portal use among Veterans with mental health diagnoses. Unadjusted and adjusted odds of portal feature use was calculated using logistic regressions. Having experienced military sexual trauma or having an anxiety disorder, post-traumatic stress disorder, or depression were associated with increased odds of portal use; bipolar, substance use, psychotic and adjustment disorders were associated with decreased odds. Future research should examine factors that influence portal use to understand diagnosis-level differences and improve engagement with such tools.

BACKGROUND: Veterans who experience traumatic brain injury (TBI) may have long-term needs placing a premium on well-coordinated care. This study aimed to (1) identify barriers to care coordination for Veterans with TBI; and (2) describe strategies used by VA polytrauma care team members to coordinate care for Veterans with TBI. METHODS: We utilised a mixed method design, including an online survey of VA polytrauma care team members (N = 236) and subsequent semi-structured interviews (N = 25). Analysis of the survey data was descriptive; interview data was analysed using constant comparative techniques. RESULTS: The most common system-related barriers 25 for access to military records (64%) and insufficient time (58%). The most common patient-related barriers were missed appointments/no shows (87%) and the mental health issues (74%). Strategies reported on the survey to promote coordination reflected the centrality of teamwork and communication, and included promoting multidisciplinary team collaboration (32%) and holding 30 regular meetings (23%). Interview findings were consistent, emphasising the effective functioning of multidisciplinary clinics. CONCLUSION: Polytrauma care team members encounter barriers to care coordination for Veterans with TBI, and have developed strategies in response. Information sharing, provider workload, communication, and patient engagement will be critical to address in future efforts to enhance care coordination in this context.

BACKGROUND: Real-time videoconferencing technology such as clinical video telehealth (CVT) offers a means to reach patient populations who face limited access to healthcare. The Veterans Health Administration has invested in CVT to improve care access for U.S. military veterans with spinal cord injuries and disorders (SCI/D); however, no studies have assessed the factors that influence implementation of this technology in clinical practice for individuals with SCI/D. INTRODUCTION: Guided by a sociotechnical perspective, the purpose of this study was to identify factors that influence implementation of CVT for veterans with SCI/D. MATERIALS AND METHODS: We conducted semistructured telephone interviews with 40 healthcare providers who use CVT to deliver services to veterans with SCI/D. RESULTS: Factors related to workflow and communication were widely reported as implementation barriers. Coordinating logistics for CVT appointments was challenging, and effective communication between CVT team members across facilities was considered crucial. Providers also cited factors related to technical infrastructure, people, and organizational features, including the need for appropriate equipment, space, personnel, and support for using CVT equipment. DISCUSSION: The implementation of CVT in the care of veterans with SCI/D was influenced by an interrelated set of social and technical factors. Key among them were social factors related to people, workflow, and communication, given that CVT supports healthcare teams interacting remotely in real time. CONCLUSIONS: CVT implementation requires teams working together to negotiate a complex, distributed process across multiple sites. Such complexity places a premium on teamwork and communication among healthcare teams before, during, and after a CVT encounter.