Research-practice partnerships: Adapting a care coordination intervention for rural Veterans over 3 years at multiple sites.

PURPOSE: Rural Veterans are more likely than urban Veterans to qualify for community care (Veterans Health Administration [VHA]-paid care delivered outside of VHA) due to wait times ≥30 days and longer travel times for VHA care. For rural Veterans receiving both VHA and community care, suboptimal care coordination between VHA and community providers can result in poor follow-up and care fragmentation. We developed Telehealth-based Coordination of Non-VHA Care (TECNO Care) to address this problem. METHODS: We iteratively developed and adapted TECNO Care with partners from the VHA Office of Rural Health and site-based Home Telehealth Care in the Community programs. Using templated electronic health record notes, Home Telehealth nurses contacted Veterans monthly to facilitate communication with VHA/community providers, coordinate referrals, reconcile medications, and follow up on acute episodes. We evaluated TECNO Care using a patient-level, pre-post effectiveness assessment and rapid qualitative analysis with individual interviews of Veterans and VHA collaborators. Our primary effectiveness outcome was a validated care coordination quality measure. We calculated mean change scores for each care continuity domain. FINDINGS: Between March 2019 and October 2021, 83 Veterans received TECNO Care. Veterans were predominately White (86.4%) and male (88.6%) with mean age 71.4 years (SD 10.4). Quantitative data demonstrated improvements in perceived care coordination following TECNO Care in 7 categories. Qualitative interviews indicated that Veterans and Home Telehealth nurses perceived TECNO Care as beneficial and addressing an area of high need. CONCLUSIONS: TECNO Care appeared to improve the coordination of VHA and community care and was valued by Veterans.

Implementing evidence-based telephone coaching for health behavior program enrollment: A quality improvement project.

INTRODUCTION: This program evaluation describes the use of implementation facilitation to support uptake of a telephone-based engagement coaching intervention, ACTIVATE, using paraprofessional staff, to support health behavior program enrollment. METHOD: The RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework guided the formative evaluation. A mixed-methods approach was used to integrate qualitative (i.e., rapid analysis approach) and quantitative (i.e., descriptive statistics, chi-square test of independence, logistic regression) analyses for each outcome. RESULTS: Most patients (95%; 319 of 335) were offered ACTIVATE, and 82 patients completed ACTIVATE. Delivery with paraprofessional staff was feasible with adaptations for translation from research to a clinical setting, which are described. External facilitation (a form of implementation facilitation) was associated with higher reach. DISCUSSION: Delivery of telephone-based coaching by paraprofessional staff to support health behavior program enrollment was feasible. External facilitation was important to the translation of ACTIVATE from research to clinical practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

An Innovation to Expand the Reach of Peer Support: A Feasibility and Acceptability Study.

INTRODUCTION: Peer support is a well-established part of veteran care and a cost-effective way to support individuals pursuing health behavior change. Common models of peer support, peer coaching, and mutual peer support have limitations that could be minimized by building on the strengths of each to increase the overall reach and effectiveness. We conducted a 12-week, proof-of-concept study to test the acceptability and feasibility of a hybrid model of peer support which supplements dyadic mutual peer support with as-needed peer coaching. MATERIALS AND METHODS: We tested our novel peer support model within the context of cardiovascular disease (CVD) risk reduction as a support mechanism for the promotion of heart-healthy diet and exercise behaviors. We recruited peer buddies (participants who would be matched with each other to provide mutual support) with at least one uncontrolled CVD risk factor (i.e., blood pressure, weight, or diabetes) and peer coaches (individuals who would provide additional, as-needed support for peer buddies) with a recent history of CVD health behavior improvement. We aimed for 50% of peer buddies to be women to assess for potential gender differences in intervention engagement. Participants received didactic instruction during three group sessions, and peer dyads were instructed to communicate weekly with their peer buddy to problem-solve around action plans and behavioral goals. We tracked frequency of dyadic communication and conducted semi-structured interviews at the intervention's end to assess acceptability. RESULTS: We recruited three peer coaches and 12 peer buddies. Ten buddies (five dyads) met at the first group session, and all were still in weekly contact with each other at week 12. Peer buddies had a mean of 8.75 out of 12 possible weekly peer buddy communications (range 6-15 in total). Peer coaches provided additional support to four participants over 12 weeks. Participants reported liking the intervention, including mixed-gender groups. Clarity and expectation setting around the role of peer coaches were important. CONCLUSIONS: The supplementation of mutual peer support with as-needed peer coaching is an acceptable and feasible way to expand the potential reach and effectiveness of peer support for behavior change among veterans.

Addressing Hypertension Outcomes Using Telehealth and Population Health Managers: Adaptations and Implementation Considerations.

PURPOSE OF REVIEW: There is a growing evidence base describing population health approaches to improve blood pressure control. We reviewed emerging trends in hypertension population health management and present implementation considerations from an intervention called Team-supported, Electronic health record-leveraged, Active Management (TEAM). By doing so, we highlight the role of population health managers, practitioners who use population level data and to proactively engage at-risk patients, in improving blood pressure control. RECENT FINDINGS: Within a population health paradigm, we discuss telehealth-delivered approaches to equitably improve hypertension care delivery. Additionally, we explore implementation considerations and complementary features of team-based, telehealth-delivered, population health management. By leveraging the unique role and expertise of a population health manager as core member of team-based telehealth, health systems can implement a cost-effective and scalable intervention that addresses multi-level barriers to hypertension care delivery. We describe the literature of telehealth-based population health management for patients with hypertension. Using the TEAM intervention as a case study, we then present implementation considerations and intervention adaptations to integrate a population health manager within the health care team and effectively manage hypertension for a defined patient population. We emphasize practical considerations to inform implementation, scaling, and sustainability. We highlight future research directions to advance the field and support translational efforts in diverse clinical and community contexts.

Applied Rapid Qualitative Analysis to Develop a Contextually Appropriate Intervention and Increase the Likelihood of Uptake.

BACKGROUND: Rapid approaches to collecting and analyzing qualitative interview data can accelerate discovery timelines and intervention development while maintaining scientific rigor. We describe the application of these methods to a program designed to improve care coordination between the Veterans Health Administration (VHA) and community providers. METHODS: Care coordination between VHA and community providers can be challenging in rural areas. The Telehealth-based Coordination of Non-VHA Care (TECNO Care) intervention was designed to improve care coordination among VHA and community providers. To ensure contextually appropriate implementation of TECNO Care, we conducted preimplementation interviews with veterans, VHA administrators, and VHA and community providers involved in community care. Using both a rapid approach and qualitative analysis, an interviewer and 1-2 note-taker(s) conducted interviews. RESULTS: Over 5 months, 18 stakeholders were interviewed and we analyzed these data to identify how best to deliver TECNO Care. Responses relevant to improving care coordination include health system characteristics; target population; metrics and outcomes; challenges with the current system; and core components. Veterans who frequently visit VHA or community providers and are referred for additional services are at risk for poor outcomes and may benefit from additional care coordination. Using these data, we designed TECNO Care to include information on VHA services and processes, assist in the timely completion of referrals, and facilitate record sharing. CONCLUSION: Rapid qualitative analysis can inform near real-time intervention development and ensure relevant content creation while setting the stage for stakeholder buy-in. Rigorous and timely analyses support the delivery of contextually appropriate, efficient, high-value patient care.

Improving cardiovascular outcomes by using team-supported, EHR-leveraged, active management: Disseminating a successful quality improvement project.

BACKGROUND: Uncontrolled blood pressure (BP) is common among Veterans. Rural Veterans are at risk for suboptimal care coordination as successful programs may be implemented at lower rates due to individual- and system-level factors. There is strong evidence to support the use of remotely delivered support and patient-generated data from home BP monitors and virtual BP visits to manage BP. OBJECTIVE: The purpose of this project is to augment the current approach to addressing uncontrolled BP so that existing clinical staff can reach a larger patient population. METHODS: Our project will address uncontrolled BP by leveraging team-based care, the Veteran's Health Administration Electronic Health Record, and patient-centered medical home data to address patient, provider, and system barriers to cardiovascular disease (CVD) preventive care. We will implement this project in cardiovascular disease practices in three rural Veterans Health Administration clinics. We will evaluate implementation processes as well as patient-level (e.g., clinical outcomes, referrals to specialty services) outcomes in a one-arm, pre-post design. DISCUSSION: This manuscript describes our process in expanding the implementation of a successful project to improve BP control in high-risk, rural Veterans. Findings from our study will inform an understanding of both implementation and clinical effectiveness outcomes of a potentially scalable BP intervention in rural, community-based clinics. Appropriate management of Veterans with uncontrolled BP can reduce morbidity and mortality related to CVD. In turn, improvements in BP, can lead to improved quality metrics and potentially decrease costs for a healthcare system.

Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial.

BACKGROUND: Though maintaining physical conditioning and a healthy weight are requirements of active military duty, many US veterans lose conditioning and rapidly gain weight after discharge from active duty service. Mobile health (mHealth) interventions using wearable devices are appealing to users and can be effective especially with personalized coaching support. We developed Stay Strong, a mobile app tailored to US veterans, to promote physical activity using a wrist-worn physical activity tracker, a Bluetooth-enabled scale, and an app-based dashboard. We tested whether adding personalized coaching components (Stay Strong+Coaching) would improve physical activity compared to Stay Strong alone. OBJECTIVE: The goal of this study is to compare 12-month outcomes from Stay Strong alone versus Stay Strong+Coaching. METHODS: Participants (n=357) were recruited from a national random sample of US veterans of recent wars and randomly assigned to the Stay Strong app alone (n=179) or Stay Strong+Coaching (n=178); both programs lasted 12 months. Personalized coaching components for Stay Strong+Coaching comprised of automated in-app motivational messages (3 per week), telephone-based human health coaching (up to 3 calls), and personalized weekly goal setting. All aspects of the enrollment process and program delivery were accomplished virtually for both groups, except for the telephone-based coaching. The primary outcome was change in physical activity at 12 months postbaseline, measured by average weekly Active Minutes, captured by the Fitbit Charge 2 device. Secondary outcomes included changes in step counts, weight, and patient activation. RESULTS: The average age of participants was 39.8 (SD 8.7) years, and 25.2% (90/357) were female. Active Minutes decreased from baseline to 12 months for both groups (P<.001) with no between-group differences at 6 months (P=.82) or 12 months (P=.98). However, at 12 months, many participants in both groups did not record Active Minutes, leading to missing data in 67.0% (120/179) for Stay Strong and 61.8% (110/178) for Stay Strong+Coaching. Average baseline weight for participants in Stay Strong and Stay Strong+Coaching was 214 lbs and 198 lbs, respectively, with no difference at baseline (P=.54) or at 6 months (P=.28) or 12 months (P=.18) postbaseline based on administrative weights, which had lower rates of missing data. Changes in the number of steps recorded and patient activation also did not differ by arm. CONCLUSIONS: Adding personalized health coaching comprised of in-app automated messages, up to 3 coaching calls, plus automated weekly personalized goals, did not improve levels of physical activity compared to using a smartphone app alone. Physical activity in both groups decreased over time. Sustaining long-term adherence and engagement in this mHealth intervention proved difficult; approximately two-thirds of the trial's 357 participants failed to sync their Fitbit device at 12 months and, thus, were lost to follow-up. TRIAL REGISTRATION: ClinicalTrials.gov NCT02360293; https://clinicaltrials.gov/ct2/show/NCT02360293. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/12526.

Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention.

BACKGROUND: Although maintaining a healthy weight and physical conditioning are requirements of active military duty, many US veterans rapidly gain weight and lose conditioning when they separate from active-duty service. Mobile health (mHealth) interventions that incorporate wearables for activity monitoring have become common, but it is unclear how to optimize engagement over time. Personalized health coaching, either through tailored automated messaging or by individual health coaches, has the potential to increase the efficacy of mHealth programs. In an attempt to preserve conditioning and ward off weight gain, we developed Stay Strong, a mobile app that is tailored to veterans of recent conflicts and tracks physical activity monitored by Fitbit Charge 2 devices and weight measured on a Bluetooth-enabled scale. OBJECTIVE: The goal of this study is to determine the effect of activity monitoring plus health coaching compared with activity monitoring alone. METHODS: In this randomized controlled trial, with Stay Strong, a mobile app designed specifically for veterans, we plan to enroll 350 veterans to engage in an mHealth lifestyle intervention that combines the use of a wearable physical activity tracker and a Bluetooth-enabled weight scale. The Stay Strong app displays physical activity and weight data trends over time. Enrolled participants are randomized to receive the Stay Strong app (active comparator arm) or Stay Strong + Coaching, an enhanced version of the program that adds coaching features (automated tailored messaging with weekly physical activity goals and up to 3 telephone calls with a health coach-intervention arm) for 1 year. Our primary outcome is change in physical activity at 12 months, with weight, pain, patient activation, and depression serving as secondary outcome measures. All processes related to recruitment, eligibility screening, informed consent, Health Insurance Portability and Accountability Act authorization, baseline assessment, randomization, the bulk of intervention delivery, and outcome assessment will be accomplished via the internet or smartphone app. RESULTS: The study recruitment began in September 2017, and data collection is expected to conclude in 2019. A total of 465 participants consented to participate and 357 (357/465, 77%) provided baseline levels of physical activity and were randomized to 1 of the 2 interventions. CONCLUSIONS: This novel randomized controlled trial will provide much-needed findings about whether the addition of telephone-based human coaching and other automated supportive-coaching features will improve physical activity compared with using a smartphone app linked to a wearable device alone. TRIAL REGISTRATION: ClinicalTrials.gov NCT02360293; https://clinicaltrials.gov/ct2/show/NCT02360293 (Archived by WebCite at http://www.webcitation.org/75KQeIFwh). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/12526.

A problem-solving intervention for cardiovascular disease risk reduction in veterans: Protocol for a randomized controlled trial.

BACKGROUND: Health behaviors related to diet, tobacco usage, physical activity, medication adherence, and alcohol use are highly determinative of risk for developing cardiovascular disease. This paper describes a study protocol to evaluate a problem-solving intervention that aims to help patients at risk for developing cardiovascular disease address barriers to adopting positive health behaviors in order to reduce cardiovascular risk. METHODS: Eligible patients are adults enrolled in Veterans Affairs (VA) health care who have not experienced a cardiovascular event but are at elevated risk based on their Framingham Risk Score (FRS). Participants in this two-site study are randomized to either the intervention or care as usual, with a target of 400 participants. The study intervention, Healthy Living Problem-Solving (HELPS), consists of six group sessions conducted approximately monthly interspersed with individualized coaching calls to help participants apply problem-solving principles. The primary outcome is FRS, analyzed at the beginning and end of the study intervention (6months). Participants also complete measures of physical activity, caloric intake, self-efficacy, group cohesion, problem-solving capacities, and demographic characteristics. CONCLUSION: Results of this trial will inform behavioral interventions to change health behaviors in those at risk for cardiovascular disease and other health conditions. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT01838226.

A Coaching by Telephone Intervention for Veterans and Care Team Engagement (ACTIVATE): A study protocol for a Hybrid Type I effectiveness-implementation randomized controlled trial.

INTRODUCTION: A large proportion of deaths and many illnesses can be attributed to three modifiable risk factors: tobacco use, overweight/obesity, and physical inactivity. Health risk assessments (HRAs) are widely available online but have not been consistently used in healthcare systems to activate patients to participate in prevention programs aimed at improving lifestyle behaviors. OBJECTIVES: The goal of this study is to test whether adding telephone-based coaching to use of a comprehensive HRA increases at-risk patients' activation and enrollment into a prevention program compared to HRA use alone. METHODS: Participants were randomized to either complete an HRA alone or in conjunction with a telephone coaching intervention. To be eligible Veterans had to have at least one modifiable risk factor (current smoker, overweight/obese, or physically inactive). The primary outcome is enrollment and participation in a prevention program by 6months. Secondary outcomes include change in a Patient Activation Measure and Framingham Risk Score. DISCUSSION: This study is the first to test a web-based health risk assessment coupled with a health coaching intervention within a large healthcare system. Results from this study will help the Veterans Health Administration (VHA) implement its national plan to include comprehensive health risk assessments as a tool to engage Veterans in prevention. The results will also inform health systems outside VHA who seek to implement Medicare's advisement that health risk assessment become a mandatory component of care under the Affordable Care Act.