Understanding patients' experiences during transitions from one electronic health record to another: A scoping review.

Objectives: Identify existing research on impacts of transitions between electronic health record (EHR) systems on patients' healthcare experiences. Methods: Scoping review. We searched MedLine, OVID, Embase, CINAHL, and PsycInfo databases for articles on patient experiences with EHR-to-EHR transitions. Results: Three studies met inclusion criteria. All three used validated surveys to compare patient satisfaction with care pre- and post-transition. The surveys did not include specific questions about the EHR transition; one study focused on patient perceptions of provider computer use. Satisfaction levels initially decreased following EHR implementation, then returned to baseline between six and 15 months later in two of three studies. Factors associated with changes in observed satisfaction are unknown. Conclusions: Patient experience has been given limited attention in studies of EHR-to-EHR transitions. Future research should look beyond satisfaction, and examine how an EHR-to-EHR transition can impact the quality of patients' care, including safety, effectiveness, timeliness, efficiency, and equity. Innovation: To our knowledge, this is the first literature review on EHR transitions that specifically focused on patient experiences. In preparation for a transition from one EHR to another, healthcare system leaders should consider the multiple ways patients' experiences with care may be impacted and develop strategies to minimize disruptions in care.

Relationship Between Patient Portal Tool Use and Medication Adherence and Viral Load Among Patients Living with HIV.

BACKGROUND: Patient portals play an increasingly critical role in engaging patients in their health care. They have the potential to significantly impact the health of those living with chronic diseases, such as HIV, for whom consistent care engagement is both critical and complex. OBJECTIVE: The primary aim was to examine the longitudinal relationships between individual portal tool use and health-related outcomes in patients living with HIV. DESIGN: Retrospective cohort study using electronic health record data to examine the relationship between patient portal tool use and key HIV-specific, health-related outcomes in patients engaged in care in the Veterans Health Administration (VA) through the application of marginal structural models. PARTICIPANTS: A national sample of patients living with HIV (PLWH) active in VA care who were registered to use the VA's patient portal, My HealtheVet (MHV; n = 18,390) between 10/1/2012 and 4/1/2017. MAIN MEASURES: The MHV tools examined were prescription refill (including prescription refill of an antiretroviral (ART) medication and any medication), secure messaging, view appointments, and view labs. Primary outcomes were viral load test receipt, viral load suppression, and ART medication adherence (measured as proportion of days covered). KEY RESULTS: The use of prescription refill for any medication or for ART was positively associated with ART adherence. Secure messaging was positively associated with ART adherence but not with viral load test receipt or viral load suppression. The use of view appointments was positively associated with ART adherence and viral load test receipt but not viral load suppression. The use of view labs was positively associated with viral load suppression but not ART adherence or viral load test receipt. CONCLUSIONS: These findings highlight the valuable role patient portals may play in improving health-related outcomes among PLWH and have implications for patients living with other types of chronic disease.

Improving Veteran Engagement with Virtual Care Technologies: a Veterans Health Administration State of the Art Conference Research Agenda.

Although the availability of virtual care technologies in the Veterans Health Administration (VHA) continues to expand, ensuring engagement with these technologies among Veterans remains a challenge. VHA Health Services Research & Development convened a Virtual Care State of The Art (SOTA) conference in May 2022 to create a research agenda for improving virtual care access, engagement, and outcomes. This article reports findings from the Virtual Care SOTA engagement workgroup, which comprised fourteen VHA subject matter experts representing VHA clinical care, research, administration, and operations. Workgroup members reviewed current evidence on factors and strategies that may affect Veteran engagement with virtual care technologies and generated key questions to address evidence gaps. The workgroup agreed that although extensive literature exists on factors that affect Veteran engagement, more work is needed to identify effective strategies to increase and sustain engagement. Workgroup members identified key priorities for research on Veteran engagement with virtual care technologies through a series of breakout discussion groups and ranking exercises. The top three priorities were to (1) understand the Veteran journey from active service to VHA enrollment and beyond, and when and how virtual care technologies can best be introduced along that journey to maximize engagement and promote seamless care; (2) utilize the meaningful relationships in a Veteran's life, including family, friends, peers, and other informal or formal caregivers, to support Veteran adoption and sustained use of virtual care technologies; and (3) test promising strategies in meaningful combinations to promote Veteran adoption and/or sustained use of virtual care technologies. Research in these priority areas has the potential to help VHA refine strategies to improve virtual care user engagement, and by extension, outcomes.

Healthcare Utilization Differences Among Primary Care Patients Using Telemedicine in the Veterans Health Administration: a Retrospective Cohort Study.

BACKGROUND: The COVID-19 pandemic encouraged telemedicine expansion. Research regarding follow-up healthcare utilization and primary care (PC) telemedicine is lacking. OBJECTIVE: To evaluate whether healthcare utilization differed across PC populations using telemedicine. DESIGN: Retrospective observational cohort study using administrative data from veterans with minimally one PC visit before the COVID-19 pandemic (March 1, 2019-February 28, 2020) and after in-person restrictions were lifted (October 1, 2020-September 30, 2021). PARTICIPANTS: All veterans receiving VHA PC services during study period. MAIN MEASURES: Veterans' exposure to telemedicine was categorized as (1) in-person only, (2) telephone telemedicine (≥ 1 telephone visit with or without in-person visits), or (3) video telemedicine (≥ 1 video visit with or without telephone and/or in-person visits). Healthcare utilization 7 days after index PC visit were compared. Generalized estimating equations estimated odds ratios for telephone or video telemedicine versus in-person only use adjusted for patient characteristics (e.g., age, gender, race, residential rurality, ethnicity), area deprivation index, comorbidity risk, and intermediate PC visits within the follow-up window. KEY RESULTS: Over the 2-year study, 3.4 million veterans had 12.9 million PC visits, where 1.7 million (50.7%), 1.0 million (30.3%), and 649,936 (19.0%) veterans were categorized as in-person only, telephone telemedicine, or video telemedicine. Compared to in-person only users, video telemedicine users experienced higher rates per 1000 patients of emergent care (15.1 vs 11.2; p < 0.001) and inpatient admissions (4.2 vs 3.3; p < 0.001). In adjusted analyses, video versus in-person only users experienced greater odds of emergent care (OR [95% CI]:1.18 [1.16, 1.19]) inpatient (OR [95% CI]: 1.29 [1.25, 1.32]), and ambulatory care sensitive condition admission (OR [95% CI]: 1.30 [1.27, 1.34]). CONCLUSIONS: Telemedicine potentially in combination with in-person care was associated with higher follow-up healthcare utilization rates compared to in-person only PC. Factors contributing to utilization differences between groups need further evaluation.

Factors Associated with Veteran Self-Reported Use of Digital Health Devices.

BACKGROUND: Digital health devices (DHDs), technologies designed to gather, monitor, and sometimes share data about health-related behaviors or symptoms, can support the prevention or management of chronic conditions. DHDs range in complexity and utility, from tracking lifestyle behaviors (e.g., pedometer) to more sophisticated biometric data collection for disease self-management (e.g., glucometers). Despite these positive health benefits, supporting adoption and sustained use of DHDs remains a challenge. OBJECTIVE: This analysis examined the prevalence of, and factors associated with, DHD use within the Veterans Health Administration (VHA). DESIGN: National survey. PARTICIPANTS: Veterans who receive VHA care and are active secure messaging users. MAIN MEASURES: Demographics, access to technology, perceptions of using health technologies, and use of lifestyle monitoring and self-management DHDs. RESULTS: Among respondents, 87% were current or past users of at least one DHD, and 58% were provided a DHD by VHA. Respondents 65 + years were less likely to use a lifestyle monitoring device (AOR 0.57, 95% CI [0.39, 0.81], P = .002), but more likely to use a self-management device (AOR 1.69, 95% [1.10, 2.59], P = .016). Smartphone owners were more likely to use a lifestyle monitoring device (AOR 2.60, 95% CI [1.42, 4.75], P = .002) and a self-management device (AOR 1.83, 95% CI [1.04, 3.23], P = .037). CONCLUSIONS: The current analysis describes the types of DHDs that are being adopted by Veterans and factors associated with their adoption. Results suggest that various factors influence adoption, including age, access to technology, and health status, and that these relationships may differ based on the functionalities of the device. VHA provision of devices was frequent among device users. Providing Veterans with DHDs and the training needed to use them may be important factors in facilitating device adoption. Taken together, this knowledge can inform future implementation efforts, and next steps to support patient-team decision making about DHD use.

Understanding rural-urban differences in veterans' internet access, use and patient preferences for telemedicine.

BACKGROUND: The expansion of telemedicine (e.g., telephone or video) in the Veterans Health Administration (VA) raises concerns for health care disparities between rural and urban veterans. Factors impeding telemedicine use (e.g., broadband, digital literacy, age) disproportionally affect rural veterans. PURPOSE: To examine veteran-reported broadband access, internet use, familiarity with, and preferences for telemedicine stratified by residential rurality. METHODS: Three hundred fifty veterans with a VA primary care visit in March 2022 completed a 30-min computer-assisted telephone interview. The sampling design stratified veterans by residential rurality (i.e., rural or urban) and how primary care was delivered (i.e., in-person or by video). Counts and weighted percentages are reported. FINDINGS: After accounting for survey weights, 96.2% of respondents had in-home internet access and 89.5% reported functional connection speeds. However, rural- compared to urban-residing veterans were less likely to experience a telemedicine visit in the past year (74.1% vs. 85.2%; p = 0.02). When comparing telemedicine to in-person visits, rural versus urban-residing veterans rated them not as good (45.3% vs. 36.8%), just as good (51.1% vs. 53.1%), or better (3.5% vs. 10.0%) (p = 0.05). To make telemedicine visits easier, veterans, regardless of where they lived, recommended technology training (46.4%), help accessing the internet (26.1%), or provision of an internet-enabled device (25.9%). CONCLUSIONS: Though rural-residing veterans were less likely to experience a telemedicine visit, the same actionable facilitators to improve telemedicine access were reported regardless of residential rurality. Importantly, technology training was most often recommended. Policy makers, patient advocates, and other stakeholders should consider novel initiatives to provide training resources.

Stakeholder Perceptions of a Web-Based Physical Activity Intervention for COPD: A Mixed-Methods Study.

Technology-based physical activity interventions have been shown to be efficacious in chronic obstructive pulmonary disease (COPD), though their potential impact has not been fully realized due to ineffective implementation. We used a convergent, parallel mixed-methods design to identify patient- and provider-facing barriers and facilitators to implementing a rigorously studied web-based physical activity intervention for COPD. Quantitative surveys (based on the unified theory of acceptance and use of technology; range 1 (poor usability)-5 (high usability)) and semi-structured interviews (guided by the practical robust implementation and sustainability model) assessed the perspectives of 15 patients and 15 health care providers. The patients and providers rated the usability of the intervention as high (median = 5.0, IQR = 1.0). For both patients and providers, the main facilitators included: the potential high impact of the intervention on patient health, the usefulness of the intervention for unmet clinical needs, and the perceived ease of use of the intervention. The main barriers identified were digital literacy and its fit with current clinical workflows. Implementation efforts may benefit from supporting patients' use of the website and developing strategies to integrate referrals to the intervention and the monitoring of patients into current clinical infrastructures.

Understanding Patients' Preferences and Experiences During an Electronic Health Record Transition.

BACKGROUND: The Department of Veterans Affairs (VA) has embarked on the largest system-wide electronic health record (EHR) transition in history. To date, most research on EHR-to-EHR transitions has focused on employee and system transition-related needs, with limited focus on how patients experience transitions. OBJECTIVE: (1) Understand patients' preferences for information and support prior to an EHR transition, and (2) examine actual patient experiences that occurred at facilities that implemented a new EHR. DESIGN: We used a two-step approach. We had discussions with geographically diverse patient advisory groups. Discussions informed semi-structured, qualitative interviews with patients. PARTICIPANTS: Patients affected by the EHR transition. MAIN MEASURES: We met with four patient advisory groups at sites that had not transitioned their EHR. Interviews were conducted with patients who received care at one of two facilities that recently transitioned to the new EHR. KEY RESULTS: Patient advisors identified key areas important to patients during an EHR transition. 1) Use a range of communication strategies to reach diverse populations, especially older, rural patients. 2) Information about the EHR transition should be clear and reinforce trustworthiness. 3) Patients will need guidance using the new patient portal. From the patient interviews, we learned if and how these key areas mapped onto patients' experiences. Patients at the sites that had transitioned learned about the new EHR through a variety of modalities, including letters and banners on the patient portal. However, their experiences varied in terms of information quality, leading to frustrations during and between healthcare encounters. Patient portal issues exacerbated frustrations. These raised concerns about the accuracy and security of the overall EHR. CONCLUSIONS: Maintaining clear communication across patients, local leadership, and providers throughout an EHR transition is essential for successful implementation. Patient-facing communications can set expectations, and help patients receive adequate support, particularly related to the patient portal.

Engaging Operational Partners Is Critical for Successful Implementation of Research Products: a Coincidence Analysis of Access-Related Projects in the Veterans Affairs Healthcare System.

BACKGROUND/OBJECTIVE: The Veterans Health Administration (VHA) has prioritized timely access to care and has invested substantially in research aimed at optimizing veteran access. However, implementing research into practice remains challenging. Here, we assessed the implementation status of recent VHA access-related research projects and explored factors associated with successful implementation. DESIGN: We conducted a portfolio review of recent VHA-funded or supported projects (1/2015-7/2020) focused on healthcare access ("Access Portfolio"). We then identified projects with implementable research deliverables by excluding those that (1) were non-research/operational projects; (2) were only recently completed (i.e., completed on or after 1/1/2020, meaning that they were unlikely to have had time to be implemented); and (3) did not propose an implementable deliverable. An electronic survey assessed each project's implementation status and elicited barriers/facilitators to implementing deliverables. Results were analyzed using novel Coincidence Analysis (CNA) methods. PARTICIPANTS/KEY RESULTS: Among 286 Access Portfolio projects, 36 projects led by 32 investigators across 20 VHA facilities were included. Twenty-nine respondents completed the survey for 32 projects (response rate = 88.9%). Twenty-eight percent of projects reported fully implementing project deliverables, 34% reported partially implementing deliverables, and 37% reported not implementing any deliverables (i.e., resulting tool/intervention not implemented into practice). Of 14 possible barriers/facilitators assessed in the survey, two were identified through CNA as "difference-makers" to partial or full implementation of project deliverables: (1) engagement with national VHA operational leadership; (2) support and commitment from local site operational leadership. CONCLUSIONS: These findings empirically highlight the importance of operational leadership engagement for successful implementation of research deliverables. Efforts to strengthen communication and engagement between the research community and VHA local/national operational leaders should be expanded to ensure VHA's investment in research leads to meaningful improvements in veterans' care. The Veterans Health Administration (VHA) has prioritized timely access to care and has invested substantially in research aimed at optimizing veteran access. However, implementing research findings into clinical practice remains challenging, both within and outside VHA. Here, we assessed the implementation status of recent VHA access-related research projects and explored factors associated with successful implementation. Only two factors were identified as "difference-makers" to adoption of project findings into practice: (1) engagement with national VHA leadership or (2) support and commitment from local site leadership. These findings highlight the importance of leadership engagement for successful implementation of research findings. Efforts to strengthen communication and engagement between the research community and VHA local/national leaders should be expanded to ensure VHA's investment in research leads to meaningful improvements in veterans' care.

Secure Messaging for Diabetes Management: Content Analysis.

BACKGROUND: Secure messaging use is associated with improved diabetes-related outcomes. However, it is less clear how secure messaging supports diabetes management. OBJECTIVE: We examined secure message topics between patients and clinical team members in a national sample of veterans with type 2 diabetes to understand use of secure messaging for diabetes management and potential associations with glycemic control. METHODS: We surveyed and analyzed the content of secure messages between 448 US Veterans Health Administration patients with type 2 diabetes and their clinical teams. We also explored the relationship between secure messaging content and glycemic control. RESULTS: Explicit diabetes-related content was the most frequent topic (72.1% of participants), followed by blood pressure (31.7% of participants). Among diabetes-related conversations, 90.7% of patients discussed medication renewals or refills. More patients with good glycemic control engaged in 1 or more threads about blood pressure compared to those with poor control (37.5% vs 27.2%, P=.02). More patients with good glycemic control engaged in 1 more threads intended to share information with their clinical team about an aspect of their diabetes management compared to those with poor control (23.7% vs 12.4%, P=.009). CONCLUSIONS: There were few differences in secure messaging topics between patients in good versus poor glycemic control. Those in good control were more likely to engage in informational messages to their team and send messages related to blood pressure. It may be that the specific topic content of the secure messages may not be that important for glycemic control. Simply making it easier for patients to communicate with their clinical teams may be the driving influence between associations previously reported in the literature between secure messaging and positive clinical outcomes in diabetes.

Use of the Veterans Health Administration online patient portal among Veterans with spinal cord injuries and disorders.

CONTEXT/OBJECTIVE: Online patient portals like the Veteran Health Administration's (VA) My HealtheVet (MHV) may be particularly useful for Veterans with spinal cord injuries/disorders (SCI/D), many of whom experience barriers to care. The objective of this analysis was to examine MHV use among Veterans with SCI/D. DESIGN: Retrospective database analysis. SETTING: VA SCI/D System of Care. PARTICIPANTS: Veterans with SCI/D who utilize VA care. INTERVENTIONS: N/A. OUTCOME MEASURES: MHV registration and use of key portal features among Veterans who newly registered for MHV. Veteran characteristics associated with registration and use of portal features using multiple logistic regression. RESULTS: 14.6% of Veterans with SCI/D in our sample registered to use MHV. 48.7% used the medication refill feature, 28.7% used the appointment view feature, 25.0% sent or read at least one secure message and 10.8% used the Blue Button feature. Adjusted analyses indicate that having a C5-8 (OR: 1.36, CI95%: 1.06-1.76, P < 0.05) or T1-S5 (OR: 1.41, CI95%: 1.13-1.78, P < 0.01) (vs. C1-C4), having (vs. not having) neurogenic bladder (OR: 1.45, CI95%: 1.18-1.77, P < 0.01), being married (vs. not married) (OR: 2.00, CI95%: 1.67-2.39, P < 0.01), and increased healthcare utilization in the third (OR: 1.71, CI95%: 1.31-2.24, P < 0.01) and fourth (OR: 1.73, CI95%: 1.27-2.34, P < 0.01) quartiles (vs. first quartile) were associated with increased odds of MHV registration. We also identified factors associated with use of key MHV features. CONCLUSIONS: Our results suggest that MHV registration and use of key portal features was limited among Veterans with SCI/D. Effort to increase portal use in this population are warranted.

Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey.

BACKGROUND: Despite their prevalence and reported patient interest in their use, uptake of health-related apps is limited. The Veterans Health Administration (VHA) has developed a variety of apps to support veterans; however, uptake remains low nationally. OBJECTIVE: We examined the prevalence of VHA health-related app use and how veterans learned about these apps in order to identify factors associated with their use. METHODS: As part of a VHA quality improvement initiative, we recruited a national cohort of veterans to obtain feedback on their use of technology for health and collected data from them via a cross-sectional survey. The survey data were supplemented with VHA administrative data. We used descriptive statistics to examine demographic and health characteristics, health-related technology use, and how veterans learned about apps. We assessed factors associated with app use using bivariate analyses and multiple logistic regression models. RESULTS: We had complete data on 1259 veterans. A majority of the sample was male (1069/1259, 84.9%), aged older than 65 years (740/1259, 58.8%), White (1086/1259, 86.3%), and non-Hispanic (1218/1259, 96.7%). Most respondents (1125/1259, 89.4%) reported being very comfortable and confident using computers, over half (675/1259, 53.6%) reported being an early adopter of technology, and almost half (595/1259, 47.3%) reported having used a VHA health-related app. Just over one-third (435/1259, 34.6%) reported that their VHA care team members encouraged them to use health-related apps. Respondents reported learning about available VHA health-related apps by reading about them on the VHA's patient portal (468/1259, 37.2%), being told about them by their VHA health care team (316/1259, 25.1%), and reading about them on the VHA's website (139/1259, 11%). Veterans who self-reported having used VHA health-related apps were more likely to receive care at the VHA (OR [odds ratio] 1.3, 95% CI 1.0-1.7), be in worse health (as assessed by Hierarchical Condition Community score; OR 1.1, 95% CI 1.0-1.2), report owning a desktop or laptop computer (OR 1.8, 95% CI 1.1-3.1), have posttraumatic stress disorder (OR 1.4, 95% CI 1.1-1.9), and report having VHA health care team members encourage them to use the apps (OR 2.7, 95% CI 2.1-3.4). CONCLUSIONS: We found strong associations between self-reported use by veterans of VHA health-related apps and multiple variables in our survey. The strongest association was observed between a veteran self-reporting app use and having received encouragement from their VHA health care team to use the apps. Veterans who reported receiving encouragement from their VHA care team members had nearly 3 times higher odds of using VHA apps than veterans who did not report receiving such encouragement. Our results add to growing evidence suggesting that endorsement of apps by a health care system or health care team can positively impact patient uptake and use.

Common procedures of remote measurement-based care in an integrated behavioural health context: protocol for a scoping review.

INTRODUCTION: Integrated behavioural health, a model of care that embeds mental health services in primary care, can potentially increase access to mental healthcare. With the increase in health information technologies, remote measurement-based care (RMBC) presents an opportunity to improve support of integrated care. This scoping review will comprehensively examine what common procedures are followed when RMBC for mental health is tested in integrated care settings. METHODS AND ANALYSIS: Based on an established six-step framework for conducting scoping reviews, we will search PubMed, Embase, PsycINFO, Cochrane, EBSCOhost and Web of Science with search terms related to 'integrated care' and 'RMBC'. Articles published from 2015 onwards, in English, including an intervention that meets our definition of RMBC, and are conducted in collaboration with primary care or in a primary care setting will be included. After data extraction, we will categorise key findings along the following dimensions: (1) common delivery practices of RMBC; (2) common technologies and instruments used and (3) most common barriers and facilitators when implementing RMBC in an integrated care model. ETHICS AND DISSEMINATION: Ethics approval is not required for this scoping review. For maximum impact, we will disseminate the findings to the scientific community (via publication in a peer-reviewed journal and at national conferences) and to the broader healthcare community. We will share findings with the broader healthcare community through our research centre's existing stakeholder communication structures and through guidance from our multidisciplinary research team. These key stakeholder relationships will continue to guide our subsequent RMBC research following the review.

Factors influencing uptake of telemental health via videoconferencing at high and low adoption sites within the Department of Veterans Affairs during COVID-19: a qualitative study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic dramatically increased the use of telemental health via videoconferencing (TMH-V). While TMH-V has been found to be effective and satisfactory to both patients and providers, little is known regarding factors that influence site-level uptake. We examined facilitators and barriers to TMH-V uptake at higher and lower adoption sites within the US Department of Veterans Affairs (VA). METHODS: We conducted twenty-four semi-structured qualitative interviews at four northeastern VA medical centers (two with higher TMH-V adoption and two with lower adoption). Six interviews were conducted per site (one member of mental health leadership, one facility telehealth coordinator/technician, and four mental health providers per site). We performed directed content analysis, guided by the Consolidated Framework for Implementation Research (CFIR), followed by a matrix rating process to rank the degree of influence of each of the 19 included CFIR constructs at the four sites. Positive overall influences, negative overall influences, and differentiators were then identified based on patterns in ratings across sites. RESULTS: Five CFIR constructs had positive overall influences across sites: Relative advantage, Patient needs and resources, Relative priority, Knowledge and beliefs, and Self-efficacy. Complexity had a negative overall influence across sites. Four constructs significantly differentiated between higher and lower adoption sites with regards to TMH-V use: Quality, Compatibility, Leadership engagement, and Champions. CONCLUSIONS: Several positive overall influences on TMH-V uptake were identified across sites; respondents acknowledged multiple advantages of TMH-V (e.g., convenience), and providers' attitudes towards TMH-V improved as they gained experience. In contrast, complexity was a negative overall influence; TMH-V platforms and processes must be simple and user friendly to promote use. The emergence of Quality, Leadership engagement, and Champions as differentiators speaks to the importance of educating frontline staff and leadership at lower adoption sites about the evidence base demonstrating that TMH-V is high-quality care. Compatibility also emerged as a differentiator; if TMH-V is not easily integrated into provider workflows, uptake will falter. Future work should draw from these findings to develop implementation strategies aiming to increase TMH-V uptake at lower adoption sites, thereby increasing access to high-quality mental health care.

Engaging Stakeholders in Identifying Access Research Priorities for the Department of Veterans Affairs.

BACKGROUND: The Veterans Access Research Consortium (VARC), a Department of Veterans Affairs (VA) Consortium of Research focused on access to healthcare, has been funded by VA's Health Services Research and Development Service (HSR&D) to develop a research roadmap for healthcare access. The goal of the roadmap is to identify operationally aligned research questions that are most likely to lead to meaningful improvements in Veterans' healthcare access. OBJECTIVES: To describe the process of soliciting diverse stakeholder perspectives about key priorities on which VA's HSR&D access agenda should focus and identify the results of that process. METHODS: We used a modified Delphi approach to engage researchers and VA operational partners in a process to develop recommendations regarding the access-related research questions VA should prioritize. We then collaborated with three Veteran Engagement Groups (VEGs) across the country to solicit Veterans' reactions to the Delphi results and their perspectives about access-related issues affecting access to VA health care. RESULTS: The Delphi panel consisted of 22 research and operational experts, both internal and external to VA. The Delphi process resulted in five research questions identified by the panelists as highest priority for VA to pursue, each representing one of the following domains: (1) measurement of access, (2) barriers to access, (3) equity and subpopulations, (4) effective interventions to improve access, and (5) consequences of poor/better access. Veterans' perspectives focused primarily on the barriers to access domain. Veterans indicated several barriers that might be addressed through research or operational initiatives, including poor communication about services, weak connections to and partnerships with local community care facilities, and poor provision of telehealth resources and education. CONCLUSIONS: Engaging multiple methods to solicit stakeholder perspectives enables more nuanced understanding of access-related priorities for VA. Future research should consider utilizing such an approach to identify additional research and/or operational priorities.

Understanding Adoption and Preliminary Effectiveness of a Mobile App for Chronic Pain Management Among US Military Veterans: Pre-Post Mixed Methods Evaluation.

BACKGROUND: The Veterans Health Administration Pain Coach mobile health app was developed to support veterans with chronic pain. OBJECTIVE: Our objective was to evaluate early user experiences with the Pain Coach app and preliminary impacts of app use on pain-related outcomes. METHODS: Following a sequential, explanatory, mixed methods design, we mailed surveys to veterans at 2 time points with an outreach program in between and conducted semistructured interviews with a subsample of survey respondents. We analyzed survey data using descriptive statistics among veterans who completed both surveys and examined differences in key outcomes using paired samples t tests. We analyzed semistructured interview data using thematic analysis. RESULTS: Of 1507 veterans invited and eligible to complete the baseline survey, we received responses from 393 (26.1%). These veterans received our outreach program; 236 (236/393, 60.1%) completed follow-up surveys. We conducted interviews with 10 app users and 10 nonusers. Among survey respondents, 10.2% (24/236) used Pain Coach, and 58% (14/24) reported it was easy to use, though interviews identified various app usability issues. Veterans who used Pain Coach reported greater pain self-efficacy (mean 23.1 vs mean 16.6; P=.01) and lower pain interference (mean 34.6 vs mean 31.8; P=.03) after (vs before) use. The most frequent reason veterans reported for not using the app was that their health care team had not discussed it with them (96/212, 45.3%). CONCLUSIONS: Our findings suggest that future efforts to increase adoption of Pain Coach and other mobile apps among veterans should include health care team endorsement. Our findings regarding the impact of Pain Coach use on outcomes warrant further study.

Patient and provider predictors of telemental health use prior to and during the COVID-19 pandemic within the Department of Veterans Affairs.

The current study examined patient and provider differences in use of phone, video, and in-person mental health (MH) services. Participants included patients who completed ≥ 1 MH appointment within the Department of Veterans Affairs (VA) from 10/1/17-7/10/20 and providers who completed ≥ 100 VA MH appointments from 10/1/17-7/10/20. Adjusted odds ratios (aORs) are reported of patients and providers: (a) completing ≥1 video MH appointment in the pre-COVID (10/1/17-3/10/20) and COVID (3/11/20-7/10/20) periods; and (b) completing the majority of MH visits via phone, video, or in-person during COVID. The sample included 2,480,119 patients/31,971 providers in the pre-COVID period, and 1,054,670 patients/23,712 providers in the COVID period. During the pre-COVID and COVID periods, older patients had lower odds of completing ≥ 1 video visit (aORs < .65). During the COVID period, older age and low socioeconomic status predicted lower odds of having ≥ 50% of visits via video versus in-person or phone (aORs < .68); schizophrenia and MH hospitalization history predicted lower odds of having ≥ 50% of visits via video or phone versus in-person (aORs < . 64). During the pre-COVID and COVID periods, nonpsychologists (e.g., psychiatrists) had lower odds of completing video visits (aORs < . 44). Older providers had lower odds of completing ≥ 50% of visits via video during COVID (aORs <. 69). Findings demonstrate a digital divide, such that older and lower income patients, and older providers, engaged in less video care. Nonpsychologists also had lower video use. Barriers to use must be identified and strategies must be implemented to ensure equitable access to video MH services. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Incorporating African American Veterans' Success Stories for Hypertension Management: Developing a Behavioral Support Texting Protocol.

BACKGROUND: Peer narratives engage listeners through personally relevant content and have been shown to promote lifestyle change and effective self-management among patients with hypertension. Incorporating key quotations from these stories into follow-up text messages is a novel way to continue the conversation, providing reinforcement of health behaviors in the patients' daily lives. OBJECTIVE: In our previous work, we developed and tested videos in which African American Veterans shared stories of challenges and success strategies related to hypertension self-management. This study aims to describe our process for developing a text-messaging protocol intended for use after viewing videos that incorporate the voices of these Veterans. METHODS: We used a multistep process, transforming video-recorded story excerpts from 5 Veterans into 160-character texts. We then integrated these into comprehensive 6-month texting protocols. We began with an iterative review of story transcripts to identify vernacular features and key self-management concepts emphasized by each storyteller. We worked with 2 Veteran consultants who guided our narrative text message development in substantive ways, as we sought to craft culturally sensitive content for texts. Informed by Veteran input on timing and integration, supplementary educational and 2-way interactive assessment text messages were also developed. RESULTS: Within the Veterans Affairs texting system Annie, we programmed five 6-month text-messaging protocols that included cycles of 3 text message types: narrative messages, nonnarrative educational messages, and 2-way interactive messages assessing self-efficacy and behavior related to hypertension self-management. Each protocol corresponds to a single Veteran storyteller, allowing Veterans to choose the story that most resonates with their own life experiences. CONCLUSIONS: We crafted a culturally sensitive text-messaging protocol using narrative content referenced in Veteran stories to support effective hypertension self-management. Integrating narrative content into a mobile health texting intervention provides a low-cost way to support longitudinal behavior change. A randomized trial is underway to test its impact on the lifestyle changes and blood pressure of African American Veterans. TRIAL REGISTRATION: ClinicalTrials.gov NCT03970590; https://clinicaltrials.gov/ct2/show/NCT03970590. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/29423.

Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis.

BACKGROUND: Rural patients with diabetes have difficulty accessing care and are at higher risk for poor diabetes management. Sustained use of patient portal features such as secure messaging (SM) can provide accessible support for diabetes self-management. OBJECTIVE: This study explored whether rural patients' self-management and glycemic control was associated with the use of SM. METHODS: This secondary, cross-sectional, mixed methods analysis of 448 veterans with diabetes used stratified random sampling to recruit a diverse sample from the United States (rural vs urban and good vs poor glycemic control). Administrative, clinical, survey, and interview data were used to determine patients' rurality, use of SM, diabetes self-management behaviors, and glycemic control. Moderated mediation analyses assessed these relationships. RESULTS: The sample was 51% (n=229) rural and 49% (n=219) urban. Mean participant age was 66.4 years (SD 7.7 years). More frequent SM use was associated with better diabetes self-management (P=.007), which was associated with better glycemic control (P<.001). Among rural patients, SM use was indirectly associated with better glycemic control through improved diabetes self-management (95% CI 0.004-0.927). These effects were not observed among urban veterans with diabetes (95% CI -1.039 to 0.056). Rural patients were significantly more likely than urban patients to have diabetes-related content in their secure messages (P=.01). CONCLUSIONS: More frequent SM use is associated with engaging in diabetes self-management, which, in turn, is associated with better diabetes control. Among rural patients with diabetes, SM use is indirectly associated with better diabetes control. Frequent patient-team communication through SM about diabetes-related content may help rural patients with diabetes self-management, resulting in better glycemic control.