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Out-of-hospital cardiac arrest (OHCA) occurs in nearly 350,000 people each year in the United States (US). Despite advances in pre and in-hospital care, OHCA survival remains low and is highly variable across systems and regions. The critical barrier to improving cardiac arrest outcomes is not a lack of knowledge about effective interventions, but rather the widespread lack of systems of care to deliver interventions known to be successful. The RAndomized Cluster Evaluation of Cardiac ARrest Systems (RACE-CARS) trial is a 7-year pragmatic, cluster-randomized trial of 62 counties (57 clusters) in North Carolina using an established registry and is testing whether implementation of a customized set of strategically targeted community-based interventions improves survival to hospital discharge with good neurologic function in OHCA relative to control/standard care. The multifaceted intervention comprises rapid cardiac arrest recognition and systematic bystander CPR instructions by 9-1-1 telecommunicators, comprehensive community CPR training and enhanced early automated external defibrillator (AED) use prior to emergency medical systems (EMS) arrival. Approximately 20,000 patients are expected to be enrolled in the RACE CARS Trial over 4 years of the assessment period. The primary endpoint is survival to hospital discharge with good neurologic outcome defined as a cerebral performance category (CPC) of 1 or 2. Secondary outcomes include the rate of bystander CPR, defibrillation prior to arrival of EMS, and quality of life. We aim to identify successful community- and systems-based strategies to improve outcomes of OHCA using a cluster randomized-controlled trial design that aims to provide a high level of evidence for future application., (Copyright © 2024. Published by Elsevier Inc.)

Background: The use of rapid qualitative methods has increased substantially over the past decade in quality improvement and health services research. These methods have gained traction in implementation research and practice, wherein real-time adjustments are often made to optimize processes and outcomes. This brisk increase begs the questions: what does rigor entail in projects that use rapid qualitative analysis (RQA)? How do we define a pragmatic framework to help research teams design and conduct rigorous and valid rapid qualitative projects? How can authors articulate rigor in their methods descriptions? Lastly, how can reviewers evaluate the rigor of rapid qualitative projects?., Methods: A team of seven interdisciplinary qualitative methods experts developed a framework for ensuring rigor and validity in RQA and methods suitable for this analytic approach. We conducted a qualitative evidence synthesis to identify gaps in the literature and then drew upon literature, standard procedures within our teams, and a repository of rapid qualitative training materials to create a planning and reporting framework. We iteratively refined this framework through 11 group working meetings (60-90 minutes each) over the course of one year and invited feedback on items to ensure their completeness, clarity, and comprehensibility., Results: The Planning for and Assessing Rigor in Rapid Qualitative Analysis (PARRQA) framework is organized progressively across phases from design to dissemination, as follows: 1) rigorous design (rationale and staffing), 2) semi-structured data collection (pilot and planning), 3) RQA: summary template development (accuracy and calibration), 4) RQA: matrix analysis (matrices), and 5) rapid qualitative data synthesis. Eighteen recommendations across these sections specify best practices for rigor and validity., Conclusions: Rapid qualitative methods play a central role in implementation evaluations, with the potential to yield prompt information and insights about context, processes, and relationships. However, guidance on how to assess rigor is nascent. The PARRQA framework enhances the literature by offering criteria to ensure appropriate planning for and assessment of rigor in projects that involve RQA. This framework provides a consensus-based resource to support high-level qualitative methodological rigor in implementation science., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background/objective: Slowing the progression of diabetic kidney disease (DKD) is critical. We conducted a randomized controlled trial to target risk factors for DKD progression., Methods: We evaluated the effect of a pharmacist-led intervention focused on supporting healthy behaviors, medication management, and self-monitoring on decline in estimated glomerular filtration rate (eGFR) for 36 months compared with an educational control., Results: We randomized 138 individuals to the intervention group and 143 to control. At baseline, mean (SD) eGFR was 80.7 (21.7) mL/min/1.73m 2 , 56% of participants had chronic kidney disease and a history of uncontrolled hypertension with a baseline SBP of 134.3 mm Hg. The mean (SD) decline in eGFR by cystatin C from baseline to 36 months was 5.0 (19.6) and 5.9 (18.6) mL/min/1.73m 2 for the control and intervention groups, respectively, with no significant between-group difference ( P =0.75)., Conclusions: We did not observe a significant difference in clinical outcomes by study arm. However, we showed that individuals with DKD will engage in a pharmacist-led intervention. The potential explanations for a lack of change in DKD risk factors can be attributed to 5 broad issues, challenges: (1) associated with enrolling patients with low eGFR and poor BP control; (2) implementing the intervention; (3) limited duration during which to observe any clinical benefit from the intervention; (4) potential co-intervention or contamination; and (5) low statistical power., Competing Interests: This study was supported by funding from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (1R01DK93938.). H.B. reports research grants from the PhRMA Foundation, Proteus Digital Health, Otsuka, Novo Nordisk, Sanofi, and Improved Patient Outcomes, as well as consulting from Sanofi, Novartis, Otsuka, Abbott, Preventric Diagnostics, and the Medicines Company. U.D.P. was supported by R01DK093938, R34DK102166, and P30DK096493 before joining Gilead Sciences in 2016. C.A.D. was partially supported by UL1TR002553, the NIH Clinical and Translational Science Award at Duke. J.P. was partially supported by P30AG02871615, the NIA Claude D. Pepper Older Americans Independence Center Award at Duke. H.B. was partially supported by U24-HL137907 and U24-DK065176. A.A.L. reports receiving funds from Otsuka and PhRMA Foundation, and is supported by VA HSR&D grant #18-234. M.J.C. reports funding from the National Institutes of Health (1R01NR019594-01), the Veterans Affairs Quality Enhancement Research Initiative (VA QUE 20-012), and the Veterans Affairs Office of Rural Health. The other authors declare no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Diabetes distress (DD) is a negative psychosocial response to living with type 2 diabetes mellitus (T2DM). We sought insight into Veterans' experiences with DD in the context of T2DM self-management. The four domains in the Diabetes Distress Scale (i.e. regimen, emotional, interpersonal, healthcare provider) informed the interview guide and analysis (structural coding using thematic analysis). The mean age of the cohort ( n = 36) was 59.1 years (SD 10.4); 8.3% of patients were female and 63.9% were Black or Mixed Race; mean A1C was 8.8% (SD 2.0); and mean DDS score was 2.4 (SD 1.1), indicating moderate distress. Veterans described DD and challenges to T2DM self-management across the four domains in the Diabetes Distress Scale. We found that (1) Veterans' challenges with their T2DM self-management routines influenced DD and (2) Veterans experienced DD across a wide range of domains, indicating that clinical interventions should take a "whole-person" approach. Trial Registration: NCT04587336., Competing Interests: Declaration of conflicting interestsThe authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Dr. Bosworth reports research funding through his institution from BeBetter Therapeutics, Boehringer Ingelheim, Esperion, Improved Patient Outcomes, Merck, NHLBI, Novo Nordisk, Otsuka, Sanofi, VA. Elton John Foundation, Hilton foundation, Pfizer. He also provides consulting services for Abbott, Esperion, Imatar, Novartis, Sanofi, Vidya, Walmart, WebMD. He was also on the board of directors of Preventric Diagnostics. Dr. Lewinski reports receiving funds from PhRMA Foundation and Otsuka for activities not related to this work. The remaining authors have no competing interests to declare.

Aim of the Study: Survival to hospital discharge from out-of-hospital cardiac arrest (OHCA) after receiving treatment from emergency medical services (EMS) is less than 10% in the United States. Community-focused interventions improve survival rates, but there is limited information on how to gain support for new interventions or program activities within these populations. Using data from the RAndomized Cluster Evaluation of Cardiac ARrest Systems (RACE-CARS) trial, we aimed to identify the factors influencing emergency response agencies' support in implementing an OHCA intervention., Methods: North Carolina counties were stratified into high-performing or low-performing counties based on the county's cardiac arrest volume, percent of bystander-cardiopulmonary resuscitation (CPR) performed, patient survival to hospital discharge, cerebral performance in patients after cardiac arrest, and perceived engagement in the RACE-CARS project. We randomly selected 4 high-performing and 3 low-performing counties and conducted semi-structured qualitative interviews with emergency response stakeholders in each county., Results: From 10/2021 to 02/2022, we completed 29 interviews across the 7 counties (EMS ( n  = 9), telecommunications ( n  = 7), fire/first responders ( n  = 7), and hospital representatives ( n  = 6)). We identified three themes salient to community support for OHCA intervention: (1) initiating support at emergency response agencies; (2) obtaining support from emergency response agency staff (senior leadership and emergency response teams); and (3) and maintaining support. For each theme, we described similarities and differences by high- and low-performing county., Conclusions: We identified techniques for supporting effective engagement of emergency response agencies in community-based interventions for OHCA improving survival rates. This work may inform future programs and initiatives around implementation of community-based interventions for OHCA., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: ‘This work is supported by the National Heart, Lung, and Blood Institute (NHLBI) [grant number 5UH3HL146935-03] and the Durham Center of Innovation to Accelerate Discovery and Practice Transformation at the Durham VA Health Care System (to AAL, HAK, HBB) [grant number CIN 13-410]. Also, Hayden Bosworth reports research funding through his institution from BeBetter Therapeutics, Boehringer Ingelheim, Esperion, Improved Patient Outcomes, Merck, NHLBI, Novo Nordisk, Otsuka, Sanofi, Veterans Administration, Elton John Foundation, Hilton foundation, and Pfizer. He also provides consulting services for Esperion, Imatar, Novartis, Sanofi, Vidya, Walmart, and Webmed. He was also on the board of directors of Preventric Diagnostics. Christopher Granger receives consulting fees for the following companies: Abbvie, Abiomed, Alnylam Pharmaceuticals, Anthos, Bayer Corporation, Boehringer Ingelheim, Boston Scientific Corporation, Bristol Myers Squibb, Cardionomics, CeleCor Therapeutics, Janssen Pharmaceutical, Merck, Novo Nordisk, Novartis, Pfizer, Philips, REATA, NephroSynergy. He also has salary funded by Duke grants sponsored by: Alnylam Pharmaceuticals, Boehinger Ingelheim, Bristol Myers Squibb, US Food and Drug Administration, Janssen Pharmaceuticals, NHLBI, Novartis, Pfizer, and Philips. He has Equity in Tenac.io.’., (© 2024 The Authors.)

Introduction: Women experience numerous barriers to patient-centered health care (e.g., lack of continuity). Such barriers are amplified for women from marginalized communities. Virtual care may improve equitable access. We are conducting a partner-engaged, qualitative evidence synthesis (QES) of patients' and providers' experiences with virtual health care delivery for women., Methods: We use a best-fit framework approach informed by the Non-adoption, Abandonment, Scale-up, Spread, and Sustainability framework and Public Health Critical Race Praxis. We will supplement published literature with qualitative interviews with women from underrepresented communities and their health care providers. We will engage patients and other contributors through multiple participatory methods., Results: Our search identified 5525 articles published from 2010 to 2022. Sixty were eligible, of which 42 focused on women and 24 on provider experiences. Data abstraction and analysis are ongoing., Discussion: This work offers four key innovations to advance health equity: (1) conceptual foundation rooted in an antiracist action-oriented praxis; (2) worked example of centering QES on marginalized communities; (3) supplementing QES with primary qualitative information with populations historically marginalized in the health care system; and (4) participatory approaches that foster longitudinal partnered engagement., Health Equity Implications: Our approach to exploring virtual health care for women demonstrates an antiracist praxis to inform knowledge generation. In doing so, we aim to generate findings that can guide health care systems in the equitable deployment of comprehensive virtual care for women., Competing Interests: H.B.B. reports research funding through his institution from BeBetter Therapeutics, Boehringer Ingelheim, Esperion, Improved Patient Outcomes, Merck, NHLBI, Novo Nordisk, Otsuka, Sanofi, VA. Elton John Foundation, Hilton foundation, Pfizer. He also provides consulting services for Abbott, Esperion, Imatar, Novartis, Sanofi, Vidya, Walmart, and Webmed. He was also on the board of directors of Preventric Diagnostics. L.L.Z. reports consulting services with Novartis that is unrelated to the current work., (© Karen M. Goldstein et al., 2023; Published by Mary Ann Liebert, Inc.)

Background: The Covid-19 pandemic dramatically changed healthcare delivery, driving rapid expansion of synchronous (i.e., real-time) audio-only and video telehealth, otherwise known as virtual care. Yet evidence describes significant inequities in virtual care utilization, with certain populations more dependent on audio-only virtual care than video-based care. Research is needed to inform virtual care policies and processes to counteract current inequities in access and health outcomes., Objective: Given the importance of incorporating equity into virtual care within the Veterans Health Administration (VHA), we convened a Think Tank to identify priorities for future research and virtual care operations focused on achieving equitable implementation of virtual care within the VHA., Methods: We used participatory activities to engage clinicians, researchers, and operational partners from across the VHA to develop priorities for equitable implementation of virtual care. We refined priorities through group discussion and force-ranked prioritization and outlined next steps for selected priorities., Key Results: Think Tank participants included 43 individuals from the VHA who represented diverse geographical regions, offices, and backgrounds. Attendees self-identified their associations primarily as operations (n = 9), research (n = 28), or both (n = 6). We identified an initial list of 63 potential priorities for future research and virtual care operations. Following discussion, we narrowed the list to four priority areas: (1) measure inequities in virtual care, (2) address emerging inequities in virtual care, (3) deploy virtual care equitably to accommodate differently abled veterans, and (4) measure and address potential adverse consequences of expanded virtual care. We discuss related information, data, key partners, and outline potential next steps., Conclusions: This Think Tank of research and operational partners from across the VHA identified promising opportunities to incorporate equity into the design and implementation of virtual care. Although much work remains, the priorities identified represent important steps toward achieving this vital goal., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

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., (Published 2023. This article is a U.S. Government work and is in the public domain in the USA.)

During the COVID-19 pandemic, the rapid scaling of telehealth limited the extent to which proactive planning for equitable implementation was possible. The deployment of telehealth will persist in the postpandemic era, given patient preferences, advances in technologies, growing acceptance of telehealth, and the potential to overcome barriers to serve populations with limited access to high-quality in-person care. However, aspects and unintended consequences of telehealth may leave some groups underserved or unserved, and corrective implementation plans that address equitable access will be needed. The purposes of this paper are to (1) describe equitable implementation in telehealth and (2) integrate an equity lens into actionable equitable implementation., (©Allison M Gustavson, Allison A Lewinski, Ellen E Fitzsimmons-Craft, Gloria D Coronado, Sarah E Linke, Denalee M O'Malley, Alyce S Adams, Russell E Glasgow, Lisa M Klesges. Originally published in the Interactive Journal of Medical Research (https://www.i-jmr.org/), 15.05.2023.)

Objective: Examine factors associated with increased diabetes distress (DD) among patients with type 2 diabetes with DD assessed by Diabetes Distress Scale (DDS) total and subscale scores (emotional burden, physician-related distress, regimen-related distress, and interpersonal distress)., Methods: Cross-sectional analysis of data from veterans with persistently poorly controlled diabetes mellitus. Multivariable linear regression models included baseline patient characteristics (independent variables) and DDS total and subscale scores (dependent variable)., Results: The cohort's (N = 248) mean age was 58 years (SD 8.3); 21% were female, 79% were non-White, and 5% were Hispanic/Latinx. Mean hemoglobin A1c (HbA1c) was 9.8%, and 37.5% had moderate to high DD. Hispanic/Latinx ethnicity (β=0.41; 95% CI 0.01, 0.80), baseline HbA1c (0.07; 95% CI 0.01,0.13), and higher Personal Health Questionnaire-8 (PHQ-8) scores (0.07; 95% CI 0.05, 0.09) were associated with higher total DD. Hispanic/Latinx ethnicity (0.79; 95% CI 0.25, 1.34) and higher PHQ-8 (0.05; 95% CI 0.03, 0.08) were associated with higher interpersonal-related distress. Higher HbA1c (0.15; 95% CI 0.06, 0.23) and higher PHQ-8 scores (0.10; 95% CI 0.07, 0.13) were associated with higher regimen-related distress. The use of basal insulin (0.28; 95% CI 0.001, 0.56) and higher PHQ-8 (0.02; 95% CI 0.001, 0.05) were associated with higher physician-related distress. Higher PHQ-8 (0.10; 95% CI 0.07, 0.12) was associated with higher emotional burden., Conclusion: Hispanic/Latinx ethnicity, depressive symptoms, uncontrolled hyperglycemia, and insulin use were associated with higher risk for DD. Future research should explore these relationships, and interventions designed to reduce diabetes distress should consider accounting for these factors., (Published by Oxford University Press on behalf of the Endocrine Society 2023.)

Background: Healthcare organisations and teams perform improvement activities to facilitate high-quality healthcare. The use of an improvement coach who provides support and guidance to the healthcare team may facilitate improvement activities; however, no systematic review exists on the facilitators and barriers to implementing an improvement coach., Aims: We conducted a qualitative evidence synthesis to examine the facilitators and barriers to the implementation of improvement coaching., Methods: We searched MEDLINE ® , Embase and CINAHL. The final search was in March 2021. The screening eligibility criteria included the following: interdisciplinary team receiving the coaching, improvement coaching, designs with a qualitative component and primary purpose of evaluating practice facilitation in OECD countries. An ecologically-informed consolidated framework for implementation research (CFIR) served as the framework for coding. Patterns of barriers and facilitators across domains were identified through matrix analysis. Risk of bias was assessed using Critical Appraisal Skills Program. PRISMA reporting guidelines served as a guide for reporting this review., Results: Nineteen studies with a qualitative component met the inclusion criteria. Four themes of barriers and facilitators crossed multiple CFIR domains: adaptability (e.g. making adjustments to the project; process, or approach); knowledge and skills (e.g. understanding of content and process for the project); engagement (e.g. willingness to be involved in the process) and resources (e.g. assets required to complete the improvement process)., Conclusion: Improvement coaching is a complex intervention that influences the context, healthcare team being coached and improvement activities. Improvement coaches should understand how to minimise barriers and promote facilitators that are unique to each improvement project across the domains. Limitations of the study are related to the nature of the intervention including potential publication bias given quality improvement focus; the variety of terms similar to improvement coaching or selection of framework., (© 2022 John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

In this single-arm pilot study, we demonstrated feasibility and acceptability of an insulin simplification intervention in patients with persistent, poorly-controlled type 2 diabetes on complex insulin regimens. While not powered to assess clinical outcomes, we observed neither worsened glycemic control nor increased hypoglycemia., Competing Interests: Declaration of competing interest Dr. Lewinski reports receiving funding from Otsuka and the PhRMA Foundation. The remaining authors declare no conflicts of interest., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background: Suboptimal medication adherence is a significant problem for patients with serious mental illness. Measuring medication adherence through subjective and objective measures can be challenging, time-consuming, and inaccurate., Objective: The primary purpose of this feasibility and acceptability study was to evaluate the impact of a digital medicine system (DMS) among Veterans (patients) with serious mental illness as compared with treatment as usual (TAU) on medication adherence., Methods: This open-label, 2-site, provider-randomized trial assessed aripiprazole refill adherence in Veterans with schizophrenia, schizoaffective disorder, bipolar disorder, or major depressive disorder. We randomized 26 providers such that their patients either received TAU or DMS for a period of 90 days. Semistructured interviews with patients and providers were used to examine the feasibility and acceptability of using the DMS., Results: We enrolled 46 patients across 2 Veterans Health Administration sites: 21 (46%) in DMS and 25 (54%) in TAU. There was no difference in the proportion of days covered by medication refill over 3 and 6 months (0.82, SD 0.24 and 0.75, SD 0.26 in DMS vs 0.86, SD 0.19 and 0.82, SD 0.21 in TAU, respectively). The DMS arm had 0.85 (SD 0.20) proportion of days covered during the period they were engaged with the DMS (mean 144, SD 100 days). Interviews with patients (n=14) and providers (n=5) elicited themes salient to using the DMS. Patient findings described the positive impact of the DMS on medication adherence, challenges with the DMS patch connectivity and skin irritation, and challenges with the DMS app that affected overall use. Providers described an overall interest in using a DMS as an objective measure to support medication adherence in their patients. However, providers described challenges with the DMS dashboard and integrating DMS data into their workflow, which decreased the usability of the DMS for providers., Conclusions: There was no observed difference in refill rates. Among those who engaged in the DMS arm, the proportion of days covered by refills were relatively high (mean 0.85, SD 0.20). The qualitative analyses highlighted areas for further refinement of the DMS., Trial Registration: ClinicalTrials.gov NCT03881449; https://clinicaltrials.gov/ct2/show/NCT03881449., (©Sarah Gonzales, Olaoluwa O Okusaga, J Corey Reuteman-Fowler, Megan M Oakes, Jamie N Brown, Scott Moore, Allison A Lewinski, Cristin Rodriguez, Norma Moncayo, Valerie A Smith, Shauna Malone, Justine List, Raymond Y Cho, Amy S Jeffreys, Hayden B Bosworth. Originally published in JMIR Formative Research (https://formative.jmir.org), 22.12.2022.)

Objective: Clinical inertia, the absence of treatment initiation or intensification for patients not achieving evidence-based therapeutic goals, is a primary contributor to poor clinical outcomes. Effectively combating clinical inertia requires coordinated action on the part of multiple representatives including patients, clinicians, health systems, and the pharmaceutical industry. Despite intervention attempts by these representatives, barriers to overcoming clinical inertia in cardiovascular disease (CVD) risk factor control remain., Methods: We conducted a narrative literature review to identify individual-level and multifactorial interventions that have been successful in addressing clinical inertia., Results: Effective interventions included dynamic forms of patient and clinician education, monitoring of real-time patient data to facilitate shared decision-making, or a combination of these approaches. Based on findings, we describe three possible multi-level approaches to counter clinical inertia - a collaborative approach to clinician training, use of a population health manager, and use of electronic monitoring and reminder devices., Conclusion: To reduce clinical inertia and achieve optimal CVD risk factor control, interventions should consider the role of multiple representatives, be feasible for implementation in healthcare systems, and be flexible for an individual patient's adherence needs., Practice Implications: Representatives (e.g., patients, clinicians, health systems, and the pharmaceutical industry) could consider approaches to identify and monitor non-adherence to address clinical inertia., Competing Interests: Competing interests Dr. Zullig reports research grant support from the PhRMA Foundation, and Proteus Digital Health and consulting from Novartis and Pfizer. Dr. Lewinski reports research support from PhRMA Foundation and Otsuka. Drs. Goldstein and Jazowski report no conflicts of interest. Dr. Bosworth reports research grants from Sanofi, PhRMA Foundation, Proteus Digital Health, Otsuka, Novo Nordisk, Improved Patient Outcomes, Boehringer Ingelheim as well as consulting from Otsuka, Abbott, Walmart, Better therapeutics, VIDYA, and Sanofi., (Published by Elsevier B.V.)

Background: Health care providers are increasingly screening patients for unmet social needs (eg, food, housing, transportation, and social isolation) and referring patients to relevant community-based resources and social services. Patients' connection to referred services is often low, however, suggesting the need for additional support to facilitate engagement with resources. SMS text messaging presents an opportunity to address barriers related to contacting resources in an accessible, scalable, and low-cost manner., Objective: In this multi-methods pilot study, we aim to develop an automated SMS text message-based intervention to promote patient connection to referred social needs resources within 2 weeks of the initial referral and to evaluate its feasibility and patient acceptability. This protocol describes the intervention, conceptual underpinnings, study design, and evaluation plan to provide a detailed illustration of how SMS technology can complement current social needs screening and referral practice patterns without disrupting care., Methods: For this pilot prospective cohort study, this SMS text message-based intervention augments an existing social needs screening, referral, and navigation program at a federally qualified health center. Patients who received at least one referral for any identified unmet social need are sent 2 rounds of SMS messages over 2 weeks. The first round consists of 5-10 messages that deliver descriptions of and contact information for the referred resources. The second round consists of 2 messages that offer a brief reminder to contact the resources. Participants will evaluate the intervention via a survey and a semistructured interview, informed by an adapted technology acceptance model. Rapid qualitative and thematic analysis will be used to extract themes from the responses. Primary outcomes are implementation feasibility and patient acceptability. Secondary outcomes relate to intervention effectiveness: self-reported attempt to connect and successful connection to referred resources 2 weeks after the initial referral encounter., Results: The study received regulatory approval in May 2021, and we anticipate enrolling 15-20 participants for this initial pilot., Conclusions: This protocol presents detailed implementation methods about a novel automated SMS intervention for social care integration within primary care. By sharing the study protocol early, we intend to facilitate the development and adoption of similar tools across different clinical settings, as more health care providers seek to address the unmet social needs of patients. Study findings will provide practical insights into the design and implementation of SMS text message-based interventions to improve social and medical care coordination., International Registered Report Identifier (irrid): DERR1-10.2196/37316., (©Tyler Lian, Hadley Reid, Abigail Rader, Sarah Dewitt-Feldman, Elmira Hezarkhani, Elizabeth Gu, Malik Scott, Kate Kutzer, Sahil Sandhu, Carolyn Crowder, Kristin Ito, Howard Eisenson, Janet Prvu Bettger, Ryan J Shaw, Allison A Lewinski, David Y Ming, Hayden B Bosworth, Leah L Zullig, Bryan C Batch, Connor Drake. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 11.10.2022.)

Background: Rural patients with type 2 diabetes (T2D) may experience poor glycemic control due to limited access to T2D specialty care and self-management support. Telehealth can facilitate delivery of comprehensive T2D care to rural patients, but implementation in clinical practice is challenging., Objective: To examine the implementation of Advanced Comprehensive Diabetes Care (ACDC), an evidence-based, comprehensive telehealth intervention for clinic-refractory, uncontrolled T2D. ACDC leverages existing Veterans Health Administration (VHA) Home Telehealth (HT) infrastructure, making delivery practical in rural areas., Design: Mixed-methods implementation study., Participants: 230 patients with clinic-refractory, uncontrolled T2D., Intervention: ACDC bundles telemonitoring, self-management support, and specialist-guided medication management, and is delivered over 6 months using existing VHA HT clinical staffing/equipment. Patients may continue in a maintenance protocol after the initial 6-month intervention period., Main Measures: Implementation was evaluated using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. The primary effectiveness outcome was hemoglobin A1c (HbA1c)., Key Results: From 2017 to 2020, ACDC was delivered to 230 patients across seven geographically diverse VHA sites; on average, patients were 59 years of age, 95% male, 80% white, and 14% Hispanic/Latinx. Patients completed an average of 10.1 of 12 scheduled encounters during the 6-month intervention period. Model-estimated mean baseline HbA1c was 9.56% and improved to 8.14% at 6 months (- 1.43%, 95% CI: - 1.64, - 1.21; P < .001). Benefits persisted at 12 (- 1.26%, 95% CI: - 1.48, - 1.05; P < .001) and 18 months (- 1.08%, 95% CI - 1.35, - 0.81; P < .001). Patients reported increased engagement in self-management and awareness of glycemic control, while clinicians and HT nurses reported a moderate workload increase. As of this submission, some sites have maintained delivery of ACDC for up to 4 years., Conclusions: When strategically designed to leverage existing infrastructure, comprehensive telehealth interventions can be implemented successfully, even in rural areas. ACDC produced sustained improvements in glycemic control in a previously refractory population., (© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)

Background: Extensive literature support telehealth as a supplement or adjunct to in-person care for the management of chronic conditions such as congestive heart failure (CHF) and type 2 diabetes mellitus (T2DM). Evidence is needed to support the use of telehealth as an equivalent and equitable replacement for in-person care and to assess potential adverse effects., Objective: We conducted a systematic review to address the following question: among adults, what is the effect of synchronous telehealth (real-time response among individuals via phone or phone and video) compared with in-person care (or compared with phone, if synchronous video care) for chronic management of CHF, chronic obstructive pulmonary disease, and T2DM on key disease-specific clinical outcomes and health care use?, Methods: We followed systematic review methodologies and searched two databases (MEDLINE and Embase). We included randomized or quasi-experimental studies that evaluated the effect of synchronously delivered telehealth for relevant chronic conditions that occurred over ≥2 encounters and in which some or all in-person care was supplanted by care delivered via phone or video. We assessed the bias using the Cochrane Effective Practice and Organization of Care risk of bias (ROB) tool and the certainty of evidence using the Grading of Recommendations Assessment, Development, and Evaluation. We described the findings narratively and did not conduct meta-analysis owing to the small number of studies and the conceptual heterogeneity of the identified interventions., Results: We identified 8662 studies, and 129 (1.49%) were reviewed at the full-text stage. In total, 3.9% (5/129) of the articles were retained for data extraction, all of which (5/5, 100%) were randomized controlled trials. The CHF study (1/5, 20%) was found to have high ROB and randomized patients (n=210) to receive quarterly automated asynchronous web-based review and follow-up of telemetry data versus synchronous personal follow-up (in-person vs phone-based) for 1 year. A 3-way comparison across study arms found no significant differences in clinical outcomes. Overall, 80% (4/5) of the studies (n=466) evaluated synchronous care for patients with T2DM (ROB was judged to be low for 2, 50% of studies and high for 2, 50% of studies). In total, 20% (1/5) of the studies were adequately powered to assess the difference in glycosylated hemoglobin level between groups; however, no significant difference was found. Intervention design varied greatly from remote monitoring of blood glucose combined with video versus in-person visits to an endocrinology clinic to a brief, 3-week remote intervention to stabilize uncontrolled diabetes. No articles were identified for chronic obstructive pulmonary disease., Conclusions: This review found few studies with a variety of designs and interventions that used telehealth as a replacement for in-person care. Future research should consider including observational studies and studies on additional highly prevalent chronic diseases., (©Allison A Lewinski, Conor Walsh, Sharron Rushton, Diana Soliman, Scott M Carlson, Matthew W Luedke, David J Halpern, Matthew J Crowley, Ryan J Shaw, Jason A Sharpe, Anastasia-Stefania Alexopoulos, Amir Alishahi Tabriz, Jessica R Dietch, Diya M Uthappa, Soohyun Hwang, Katharine A Ball Ricks, Sarah Cantrell, Andrzej S Kosinski, Belinda Ear, Adelaide M Gordon, Jennifer M Gierisch, John W Williams Jr, Karen M Goldstein. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.08.2022.)

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., (© 2022. The Author(s).)

Diabetes is a chronic disease that can be effectively managed and controlled using strategies such as self-management education and ongoing support. Virtual environments offer innovative and realistic settings where patients can achieve self-management education and obtain ongoing self-management support from peers and healthcare professionals. Transcribed real-time conversations in an innovative virtual community were analyzed using qualitative and linguistic analysis. These virtual interactions were manually coded to identify embedded behavior change techniques and linguistic features. Results showed 13 behavior change techniques were manifested. Further, language differences were observed between behavior change techniques and social support types. Our research can provide valuable insights into the design of effective digital health interventions that maximize sustained use of virtual environments, subsequently impacting self-management of chronic conditions such as diabetes.

Purpose: The purpose of this project was to identify additional facets of diabetes distress (DD) in veterans that may be present due to the veteran's military-related experience., Methods: The study team completed cognitive interviews with veterans with type 2 diabetes mellitus (T2DM) to examine how they answered the Diabetes Distress Scale (DD Scale), a tool that assesses DD. The DD Scale was used because of its strong associations with self-management challenges, physician-related distress, and clinical outcomes., Results: The veterans sample (n= 15) was 73% male, mean age of 61 (SD = 8.6), 53% Black, 53% with glycosylated hemoglobin level <9%, and 67% with prescribed insulin. The DD Scale is readily understood by veterans and interpreted. Thematic analysis indicated additional domains affecting DD and T2DM self-management, including access to care, comorbidities, disruptions in routine, fluctuations in emotions and behaviors, interactions with providers, lifelong nature of diabetes, mental health concerns, military as culture, personal characteristics, physical limitations, physical pain, sources of information and support, spirituality, and stigma., Conclusions: This study describes how a veteran's military experience may contribute to DD in the context of T2DM self-management. Findings indicate clinicians and researchers should account for additional domains when developing self-management interventions and discussing self-management behaviors with individuals with T2DM.

Purpose: This study identified facilitators and barriers pertaining to the use of multiple mobile health (mHealth) devices (Fitbit Alta® fitness tracker, iHealth® glucometer, BodyTrace® scale) that support self-management behaviors in individuals with type 2 diabetes mellitus (T2DM)., Design: This qualitative descriptive study presents study participants' perceptions of using multiple mobile devices to support T2DM self-management. Additionally, this study assessed whether participants found visualizations, generated from each participant's health data as obtained from the three separate devices, useful and easy to interpret., Methods: Semistructured interviews were completed with a convenience sample of participants (n = 20) from a larger randomized control trial on T2DM self-management. Interview questions focused on participants' use of three devices to support T2DM self-management. A study team member created data visualizations of each interview participant's health data using RStudio., Results: We identified two themes from descriptions of study participants: feasibility and usability. We identified one theme about visualizations created from data obtained from the mobile devices. Despite some challenges, individuals with T2DM found it feasible to use multiple mobile devices to facilitate engagement in T2DM self-management behaviors., Discussion: As mHealth devices become increasingly popular for diabetes self-management and are integrated into care delivery, we must address issues associated with the use of multiple mHealth devices and the use of aggregate data to support T2DM self-management., Clinical Relevance: Real-time patient-generated health data that are easily accessible and readily available can assist T2DM self-management and catalyze conversations, leading to better self-management. Our findings lay an important groundwork for understanding how individuals with T2DM can use multiple mHealth devices simultaneously to support self-management., (© 2021 Sigma Theta Tau International.)

Background: Virtual care is critical to Veterans Health Administration (VHA) efforts to expand veterans' access to care. Health care policies such as the Veterans Access, Choice, and Accountability (CHOICE) Act and the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act impact how the VHA provides care. Research on ways to refine virtual care delivery models to meet the needs of veterans, clinicians, and VHA stakeholders is needed., Objective: Given the importance of virtual approaches for increasing access to high-quality VHA care, in December 2019, we convened a Think Tank, Accelerating Implementation of Virtual Care in VHA Practice, to consider challenges to virtual care research and practice across the VHA, discuss novel approaches to using and evaluating virtual care, assess perspectives on virtual care, and develop priorities to enhance virtual care in the VHA., Methods: We used a participatory approach to develop potential priorities for virtual care research and activities at the VHA. We refined these priorities through force-ranked prioritization and group discussion, and developed solutions for selected priorities., Results: Think Tank attendees (n = 18) consisted of VHA stakeholders, including operations partners (e.g., Office of Rural Health, Office of Nursing Services, Health Services Research and Development), clinicians (e.g., physicians, nurses, psychologists, physician assistants), and health services researchers. We identified an initial list of fifteen potential priorities and narrowed these down to four. The four priorities were (1) scaling evidence-based practices, (2) centralizing virtual care, (3) creating high-value care within the VHA with virtual care, and (4) identifying appropriate patients for virtual care., Conclusion: Our Think Tank took an important step in setting a partnered research agenda to optimize the use of virtual care within the VHA. We brought together research and operations stakeholders and identified possibilities, partnerships, and potential solutions for virtual care., (© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)

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., Competing Interests: H.B.B. reports receiving research funds from Sanofi, Otsuka, Johnson and Johnson, Improved Patient Outcomes, Novo Nordisk, PhRMA Foundation as well as consulting funds from Sanofi, Otsuka, Abbott, and Novartis. L.L.Z. reports receiving funding from the PhRMA Foundation and Proteus Digital Health as well as consulting funds from Novartis. A.A.L. reports receiving funding from Otsuka and the PhRMA Foundation. The remaining authors declare no conflicts of interest., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.)

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., Competing Interests: Dr. Bosworth reports receiving research funds from 10.13039/100004339Sanofi, Otsuka, 10.13039/100004331Johnson and Johnson, Improved Patient Outcomes, 10.13039/501100004191Novo Nordisk, 10.13039/100001797PhRMA Foundation as well as consulting funds from 10.13039/100004339Sanofi, Otsuka, Abbott, and 10.13039/100004336Novartis. Dr. Zullig reports receiving funding from the 10.13039/100001797PhRMA Foundation and Proteus Digital Health as well as consulting funds from 10.13039/100004336Novartis. The remaining authors have no competing interests to declare. The findings and conclusions in this document are those of the author(s) who are responsible for its contents and do not represent the views of the Department of Veterans Affairs, the US Government, or Duke University. Therefore, no statement in this article should be construed as an official position of the Department of Veterans Affairs or Duke University., (Published by Elsevier Inc.)

Remote triage (RT) allows interprofessional teams (e.g., nurses and physicians) to assess patients and make clinical decisions remotely. RT use has developed widespread interest due to the COVID-19 pandemic, and has future potential to address the needs of a rapidly aging population, improve access to care, facilitate interprofessional team care, and ensure appropriate use of resources. However, despite rapid and increasing interest in implementation of RT, there is little research concerning practices for successful implementation. We conducted a systematic review and qualitative evidence synthesis of practices that impact the implementation of RT for adults seeking clinical care advice. We searched MEDLINE®, EMBASE, and CINAHL from inception through July 2018. We included 32 studies in this review. Our review identified four themes impacting the implementation of RT: characteristics of staff who use RT, influence of RT on staff, considerations in selecting RT tools, and environmental and contextual factors impacting RT. The findings of our systemic review underscore the need for a careful consideration of (a) organizational and stakeholder buy-in before launch, (b) physical and psychological workplace environment, (c) staff training and ongoing support, and (d) optimal metrics to assess the effectiveness and efficiency of implementation. Our findings indicate that preimplementation planning, as well as evaluating RT by collecting data during and after implementation, is essential to ensuring successful implementation and continued adoption of RT in a health care system., (© 2020 Wiley Periodicals LLC.)

Background: Diabetes remains a major health problem in the United States, affecting an estimated 10.5% of the population. Diabetes self-management interventions improve diabetes knowledge, self-management behaviors, and clinical outcomes. Widespread internet connectivity facilitates the use of eHealth interventions, which positively impacts knowledge, social support, and clinical and behavioral outcomes. In particular, diabetes interventions based on virtual environments have the potential to improve diabetes self-efficacy and support, while being highly feasible and usable. However, little is known about the patterns of social interactions and support taking place within type 2 diabetes-specific virtual communities., Objective: The objective of this study was to examine social support exchanges from a type 2 diabetes self-management education and support intervention that was delivered via a virtual environment., Methods: Data comprised virtual environment-mediated synchronous interactions among participants and between participants and providers from an intervention for type 2 diabetes self-management education and support. Network data derived from such social interactions were used to create networks to analyze patterns of social support exchange with the lens of social network analysis. Additionally, network correlations were used to explore associations between social support networks., Results: The findings revealed structural differences between support networks, as well as key network characteristics of supportive interactions facilitated by the intervention. Emotional and appraisal support networks are the larger, most centralized, and most active networks, suggesting that virtual communities can be good sources for these types of support. In addition, appraisal and instrumental support networks are more connected, suggesting that members of virtual communities are more likely to engage in larger group interactions where these types of support can be exchanged. Lastly, network correlations suggest that participants who exchange emotional support are likely to exchange appraisal or instrumental support, and participants who exchange appraisal support are likely to exchange instrumental support., Conclusions: Social interaction patterns from disease-specific virtual environments can be studied using a social network analysis approach to better understand the exchange of social support. Network data can provide valuable insights into the design of novel and effective eHealth interventions given the unique opportunity virtual environments have facilitating realistic environments that are effective and sustainable, where social interactions can be leveraged to achieve diverse health goals., (©Carlos A Pérez-Aldana, Allison A Lewinski, Constance M Johnson, Allison A Vorderstrasse, Sahiti Myneni. Originally published in JMIR Diabetes (http://diabetes.jmir.org), 25.01.2021.)

Background: Technology-based systems can facilitate remote decision-making to triage patients to the appropriate level of care. Despite technologic advances, the effects of implementation of these systems on patient and utilization outcomes are unclear. We evaluated the effects of remote triage systems on healthcare utilization, case resolution, and patient safety outcomes., Methods: English-language searches of MEDLINE (via PubMed), EMBASE, and CINAHL were performed from inception until July 2018. Randomized and nonrandomized comparative studies of remote triage services that reported healthcare utilization, case resolution, and patient safety outcomes were included. Two reviewers assessed study and intervention characteristics independently for study quality, strength of evidence, and risk of bias., Results: The literature search identified 5026 articles, of which eight met eligibility criteria. Five randomized, two controlled before-and-after, and one interrupted time series study assessed 3 categories of remote triage services: mode of delivery, triage professional type, and system organizational level. No study evaluated any other delivery mode other than telephone and in-person. Meta-analyses were unable to be performed because of study design and outcome heterogeneity; therefore, we narratively synthesized data. Overall, most studies did not demonstrate a decrease in primary care (PC) or emergency department (ED) utilization, with some studies showing a significant increase. Evidence suggested local, practice-based triage systems have greater case resolution and refer fewer patients to PC or ED services than regional/national systems. No study identified statistically significant differences in safety outcomes., Conclusion: Our review found limited evidence that remote triage reduces the burden of PC or ED utilization. However, remote triage by telephone can produce a high rate of call resolution and appears to be safe. Further study of other remote triage modalities is needed to realize the promise of remote triage services in optimizing healthcare outcomes., Protocol Registration: This study was registered and followed a published protocol (PROSPERO: CRD42019112262).

Background: Sustained self-monitoring and self-management behaviors are crucial to maintain optimal health for individuals with type 2 diabetes mellitus (T2DM). As smartphones and mobile health (mHealth) devices become widely available, self-monitoring using mHealth devices is an appealing strategy in support of successful self-management of T2DM. However, research indicates that engagement with mHealth devices decreases over time. Thus, it is important to understand engagement trajectories to provide varying levels of support that can improve self-monitoring and self-management behaviors., Objective: The aims of this study were to develop (1) digital phenotypes of the self-monitoring behaviors of patients with T2DM based on their engagement trajectory of using multiple mHealth devices, and (2) assess the association of individual digital phenotypes of self-monitoring behaviors with baseline demographic and clinical characteristics., Methods: This longitudinal observational feasibility study included 60 participants with T2DM who were instructed to monitor their weight, blood glucose, and physical activity using a wireless weight scale, phone-tethered glucometer, and accelerometer, respectively, over 6 months. We used latent class growth analysis (LCGA) with multitrajectory modeling to associate the digital phenotypes of participants' self-monitoring behaviors based on their engagement trajectories with multiple mHealth devices. Associations between individual characteristics and digital phenotypes on participants' self-monitoring behavior were assessed by analysis of variance or the Chi square test., Results: The engagement with accelerometers to monitor daily physical activities was consistently high for all participants over time. Three distinct digital phenotypes were identified based on participants' engagement with the wireless weight scale and glucometer: (1) low and waning engagement group (24/60, 40%), (2) medium engagement group (20/60, 33%), and (3) consistently high engagement group (16/60, 27%). Participants that were younger, female, nonwhite, had a low income, and with a higher baseline hemoglobin A 1c level were more likely to be in the low and waning engagement group., Conclusions: We demonstrated how to digitally phenotype individuals' self-monitoring behavior based on their engagement trajectory with multiple mHealth devices. Distinct self-monitoring behavior groups were identified. Individual demographic and clinical characteristics were associated with different self-monitoring behavior groups. Future research should identify methods to provide tailored support for people with T2DM to help them better monitor and manage their condition., International Registered Report Identifier (irrid): RR2-10.2196/13517., (©Qing Yang, Daniel Hatch, Matthew J Crowley, Allison A Lewinski, Jacqueline Vaughn, Dori Steinberg, Allison Vorderstrasse, Meilin Jiang, Ryan J Shaw. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 11.06.2020.)

Objective: The purpose of this study was to examine the use of multiple mobile health technologies to generate and transmit data from diverse patients with type 2 diabetes mellitus (T2DM) in between clinic visits. We examined the data to identify patterns that describe characteristics of patients for clinical insights., Methods: We enrolled 60 adults with T2DM from a US healthcare system to participate in a 6-month longitudinal feasibility trial. Patient weight, physical activity, and blood glucose were self-monitored via devices provided at baseline. Patients also responded to biweekly medication adherence text message surveys. Data were aggregated in near real-time. Measures of feasibility assessing total engagement in device submissions and survey completion over the 6 months of observation were calculated., Results: It was feasible for participants from different socioeconomic, educational, and racial backgrounds to use and track relevant diabetes-related data from multiple mobile health devices for at least 6 months. Both the transmission and engagement of the data revealed notable patterns and varied by patient characteristics., Discussion: Using multiple mobile health tools allowed us to derive clinical insights from diverse patients with diabetes. The ubiquitous adoption of smartphones across racial, educational, and socioeconomic populations and the integration of data from mobile health devices into electronic health records present an opportunity to develop new models of care delivery for patients with T2DM that may promote equity as well., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Epilepsy affects nearly 50 million people worldwide. Self-management is critical for individuals with epilepsy in order to maintain optimal physical, cognitive, and emotional health. Implementing and adopting a self-management program requires considering many factors at the person, program, and systems levels. We conducted a systematic review of qualitative and mixed-methods studies to identify facilitators and barriers that impact implementation and adoption of self-management programs for adults with epilepsy., Methods: We used established systematic review methodologies for qualitative and mixed-methods studies. We included studies addressing facilitators (i.e., factors that aided) or barriers (i.e., factors that impeded) to implementation and adoption of self-management interventions for adults with epilepsy. We conducted a narrative thematic synthesis to identify facilitators and barriers., Results: The literature search identified 2700 citations; 13 studies met eligibility criteria. Our synthesis identified five themes that categorize facilitators and barriers to successful implementation epilepsy self-management: (1) relevance, intervention content that facilitates acquisition of self-management skills; (2) personalization, intervention components that account for the individual's social, physical, and environmental characteristics; (3) intervention components, components and dosing of the intervention; (4) technology considerations, considerations that account for individual's use, familiarity with, and ownership of technology; and (5) clinician interventionist, role and preparation of the individual who leads intervention. We identified facilitators in 11 of the 13 studies and barriers in 11 of the 13 studies and classified these by social-ecological level (i.e., patient/caregiver, program, site/system)., Conclusion: Identification of facilitators and barriers at multiple levels provides insight into disease-specific factors that influence implementation and adoption of self-management programs for individuals with epilepsy. Our findings indicate that involving individuals with epilepsy and their caregivers in intervention development, and then tailoring intervention content during the intervention, can help ensure the content is relevant to intervention participants. Our findings also indicate the role of the clinician (i.e., the individual who provides self-management education) is important to intervention implementation, and key issues with clinicians were identified as barriers and opportunities for improvement. Overall, our findings have practical value for those seeking to implement and adopt self-management interventions for epilepsy and other chronic illnesses., Systematic Review Registration: PROSPERO registration number is CRD42018098604.

Background: Although self-management is recommended for persons with epilepsy, its optimal strategies and effects are uncertain., Purpose: To evaluate the components and efficacy of self-management interventions in the treatment of epilepsy in community-dwelling persons., Data Sources: English-language searches of MEDLINE, Cochrane Central Register of Controlled Trials, PsycINFO, and CINAHL in April 2018; the MEDLINE search was updated in March 2019., Study Selection: Randomized and nonrandomized comparative studies of self-management interventions for adults with epilepsy., Data Extraction: An investigator assessed study characteristics; intervention details, including 6 components of self-management; and outcomes, which were verified by a second reviewer. Risk of bias (ROB) was assessed independently by 2 investigators., Data Synthesis: 13 randomized and 2 nonrandomized studies (2514 patients) evaluated self-management interventions. Interventions were delivered primarily in group settings, used a median of 4 components, and followed 2 general strategies: 1 based on education and the other on psychosocial therapy. Education-based approaches improved self-management behaviors (standardized mean difference, 0.52 [95% CI, 0.0 to 1.04]), and psychosocial therapy-based approaches improved quality of life (mean difference, 6.64 [CI, 2.51 to 10.77]). Overall, self-management interventions did not reduce seizure rates, but 1 educational intervention decreased a composite of seizures, emergency department visits, and hospitalizations., Limitation: High ROB in most studies, incomplete intervention descriptions, and studies limited to English-language publications., Conclusion: There is limited evidence that self-management strategies modestly improve some patient outcomes that are important to persons with epilepsy. Overall, self-management research in epilepsy is limited by the range of interventions tested, the small number of studies using self-monitoring technology, and uncertainty about components and strategies associated with benefit., Primary Funding Source: U.S. Department of Veterans Affairs. (PROSPERO: CRD42018098604).

Telemedicine can facilitate population health management by extending the reach of providers to efficiently care for high-risk, high-utilization populations. However, for telemedicine to be maximally useful, data collected using telemedicine technologies must be reliable and readily available to healthcare providers. To address current gaps in integration of patient-generated health data into the electronic health record (EHR), we examined 2 patient-facing platforms, Epic MyChart and Apple HealthKit, both of which facilitated the uploading of blood glucose data into the EHR as part of a diabetes telemedicine intervention. All patients were offered use of the MyChart platform; we subsequently invited a purposive sample of patients who used the MyChart platform effectively (n = 5) to also use the Apple HealthKit platform. Patients reported both platforms helped with diabetes self-management, and providers appreciated the convenience of the processes for obtaining patient data. Providers stated that the EHR data presentation format for Apple HealthKit was challenging to interpret; however, they also valued the greater perceived accuracy the Apple HealthKit data. Our findings indicate that patient-facing platforms can feasibly facilitate transmission of patient-generated health data into the EHR and support telemedicine-based care., (© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Patients with diabetes and poorly controlled hypertension are at increased risk for adverse renal and cardiovascular outcomes. Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support., Objective: This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States., Methods: Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ≥140 mm Hg and/or diastolic blood pressure [DBP] ≥90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention., Results: Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls., Conclusion: We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially promising impact., Trial Registration: ClinicalTrials.gov NCT02418091; https://clinicaltrials.gov/ct2/show/NCT02418091 (Archived by WebCite at http://www.webcitation.org/76RBvacVU)., (©Allison A Lewinski, Uptal D Patel, Clarissa J Diamantidis, Megan Oakes, Khaula Baloch, Matthew J Crowley, Jonathan Wilson, Jane Pendergast, Holly Biola, L Ebony Boulware, Hayden B Bosworth. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 09.04.2019.)

Programs via the Internet are uniquely positioned to capture qualitative data. One reason is because the Internet facilitates the creation of a community of similar individuals who can exchange information and support related to living with a chronic illness. Synchronous conversations via the Internet can provide insight into real-time social interaction and the exchange of social support. One way to analyze interactions among individuals is by using qualitative methods such as content, conversation, or discourse analysis. This manuscript describes how we used content analysis with aspects from conversation and discourse analysis to analyze synchronous conversations via the Internet to describe what individuals talk about and how individuals talk in an Internet-mediated interaction . With the increase in Internet interventions that facilitate collection of real-time conversational data, this article provides insight into how combining qualitative methods can facilitate the coding and analysis of these complex data., Competing Interests: Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Although nurses constitute the largest segment of the health care workforce in the United States, their participation in all levels of health policy advocacy remains low. We surveyed practicing nurses on their current knowledge about health policy advocacy, current and desired involvement in health policy advocacy, and desired components in a continuing education program on health policy advocacy. One hundred eighteen nurses responded to the e-mail solicitation, and 84 (71%) of those nurses were eligible. The sample was Caucasian, and the majority were women, aged 45 to 64 years, and registered to vote. Most had obtained an advanced degree and saw patients 25 to 48 hours per week. Respondents reported understanding the differences between health policy and health advocacy. Approximately one third of the nurses reported currently engaging in political/legislative health policy advocacy and patient advocacy. Open-ended responses indicated confusion between patient and political advocacy, suggesting that an easily accessible continuing education program could provide education about different advocacy approaches to help nurses leverage their clinical expertise specifically to influence health policy advocacy. J Contin Educ Nurs. 2018;49(9):407-415., (Copyright 2018, SLACK Incorporated.)

Predatory publishers solicit manuscripts through e-mail invitations to potential authors, with the goal of enticing authors to submit a manuscript to the journal. This descriptive study examined the characteristics of 206 e-mail invitations from predatory journals and publishers sent to faculty and students in a school of nursing over a 10-week period. Characteristics of these e-mails included use of flattering language, due dates for submissions close to the date of the e-mail sent, requests for general topics, and awkward phrases. However, many e-mails did not have characteristics that clearly identified them as coming from a predatory journal or publisher. Education on predatory publishing is needed for all nurse authors, specifically how to identify and confirm whether a journal is predatory or legitimate. J Contin Educ Nurs. 2018;49(4):171-177., (Copyright 2018, SLACK Incorporated.)

Background: Virtual environments (VEs) facilitate interaction and support among individuals with chronic illness, yet the characteristics of these VE interactions remain unknown., Objective: The objective of this study was to describe social interaction and support among individuals with type 2 diabetes (T2D) who interacted in a VE., Methods: Data included VE-mediated synchronous conversations and text-chat and asynchronous emails and discussion board posts from a study that facilitated interaction among individuals with T2D and diabetes educators (N=24) in 2 types of sessions: education and support., Results: VE interactions consisted of communication techniques (how individuals interact in the VE), expressions of self-management (T2D-related topics), depth (personalization of topics), and breadth (number of topics discussed). Individuals exchanged support more often in the education (723/1170, 61.79%) than in the support (406/1170, 34.70%) sessions or outside session time (41/1170, 3.50%). Of all support exchanges, 535/1170 (45.73%) were informational, 377/1170 (32.22%) were emotional, 217/1170 (18.55%) were appraisal, and 41/1170 (3.50%) were instrumental. When comparing session types, education sessions predominately provided informational support (357/723, 49.4%), and the support sessions predominately provided emotional (159/406, 39.2%) and informational (159/406, 39.2%) support., Conclusions: VE-mediated interactions resemble those in face-to-face environments, as individuals in VEs engage in bidirectional exchanges with others to obtain self-management education and support. Similar to face-to-face environments, individuals in the VE revealed personal information, sought information, and exchanged support during the moderated education sessions and unstructured support sessions. With this versatility, VEs are able to contribute substantially to support for those with diabetes and, very likely, other chronic diseases., (©Allison A Lewinski, Ruth A Anderson, Allison A Vorderstrasse, Edwin B Fisher, Wei Pan, Constance M Johnson. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 21.02.2018.)

Formal mentoring relationships socialize Doctor of Philosophy (PhD) students to their current and future roles as nursing scholars. Despite formal mentoring, some students may desire or benefit from additional mentoring in an informal setting. Informal mentoring complements the one-to-one relationship students develop with a primary faculty mentor or dissertation chair. This manuscript describes the development, implementation, and evaluation of a student-driven, peer mentorship model, titled Partnership for Development. This small group, peer mentorship model was implemented in a PhD program at a School of Nursing during an academic year. Five student peer facilitators organized a total of 32 PhD students, 2 post-doctoral associates, and invited 5 faculty to participate. Data includes pre- and post-implementation surveys completed by the students and peer facilitator field notes. Student reported post-participation benefits included: getting to know faculty in an informal setting (n=6), socializing with students from other cohorts (n=6), and obtaining a sense of camaraderie with other PhD students (n=5). We recommend peer mentorship for other PhD programs as a way to socialize PhD students into the role of nurse scientist and assist students during their tenure as a PhD student., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: Individuals with type 2 diabetes have an increased risk for comorbidities such as heart disease, lower limb amputations, stroke, and renal failure. Multiple factors influence development of complications in a person living with type 2 diabetes; however, an individual's self-management behaviors may delay the onset of, or lessen the severity of, these complications. Social support provides personal, informal advice and knowledge that helps individuals initiate and sustain self-management and adherence., Objective: Our aim was to gain an understanding of type 2 diabetes social interaction in a virtual environment, one type of computer-mediated environment (CME), and the social support characteristics that increase and sustain self-management in adults living with chronic illness., Methods: This study is a secondary analysis of longitudinal data collected in a CME study, Second Life Impacts Diabetes Education & Self-Management (1R21-LM010727-01). This virtual environment replicated a real-life community where 6 months of naturalistic synchronous voice conversations, emails, and text chats were recorded among participants and providers. This analysis uses a mixed-methods approach to explore and compare qualitative and quantitative findings. This analysis is guided by two theories: Strong/Weak Ties Theory and Social Penetration Theory. Qualitative data will be analyzed using content analysis, and we will complete descriptive statistics on the quantified variables (eg, average number of ties). Institutional review board approval was obtained in June 2016., Results: This study is in progress., Conclusions: Interventions provided through virtual environments are a promising solution to increasing self-management practices. However, little is known of the depth, breadth, and quality of social support that is exchanged and how interaction supports self-management and relates to health outcomes. This study will provide knowledge that will help guide clinical practice and policy to enhance social support for chronic illness via the Internet., (©Allison A Lewinski, Ruth A Anderson, Allison A Vorderstrasse, Edwin B Fisher, Wei Pan, Constance M Johnson. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.04.2017.)

Introduction: Interventions via the internet provide support to individuals managing chronic illness. The purpose of this integrative review was to determine how the features of a computer-mediated environment influence social interactions among individuals with type 2 diabetes., Methods and Design: A combination of MeSH and keyword terms, based on the cognates of three broad groupings: social interaction, computer-mediated environments, and chronic illness, was used to search the PubMed, PsychInfo, Sociology Research Database, and Cumulative Index to Nursing and Allied Health Literature databases. Eleven articles met the inclusion criteria., Results: Computer-mediated environments enhance an individual's ability to interact with peers while increasing the convenience of obtaining personalized support. A matrix, focused on social interaction among peers, identified themes across all articles, and five characteristics emerged: (1) the presence of synchronous and asynchronous communication, (2) the ability to connect with similar peers, (3) the presence or absence of a moderator, (4) personalization of feedback regarding individual progress and self-management, and (5) the ability of individuals to maintain choice during participation., Conclusions: Individuals interact with peers to obtain relevant, situation-specific information and knowledge about managing their own care. Computer-mediated environments facilitate the ability of individuals to exchange this information despite temporal or geographical barriers that may be present, thus improving T2D self-management., (© The Author(s) 2015.)

Background: Ongoing self-management improves outcomes for those with Type 2 diabetes (T2D); however, there are many barriers to patients receiving assistance in this from the healthcare system and peers. Findings from our pilot study showed that a virtual diabetes community on the Internet with real-time interaction among peers with T2D-and with healthcare professionals-is feasible and has the potential to influence clinical and psychosocial outcomes., Objective: The purpose of this article is to present the protocol for the Diabetes Learning in Virtual Environments (LIVE) trial., Protocol: Diabetes LIVE is a two-group, randomized controlled trial to compare effects of a virtual environment and traditional Web site on diet and physical activity. Our secondary aims will determine the effects on metabolic outcomes; effects of level of engagement and social network formation in LIVE on behavioral outcomes; potential mediating effects of changes in self-efficacy; and diabetes knowledge, diabetes-related distress, and social support on behavior change and metabolic outcomes. We will enroll 300 subjects at two sites (Duke University/Raleigh-Durham, NC and New York University/New York, NY) who have T2D and do not have serious complications or comorbidities. Those randomly assigned to the intervention group have access to the LIVE site where they can find information, synchronous classes with diabetes educators, and peer support to enhance self-management. Those in the control group have access to the same informational and educational content in a traditional asynchronous Web format. Measures of self-management, clinical outcomes, and psychosocial outcomes are assessed at baseline and 3, 6, 12, and 18 months., Discussion: Should LIVE prove effective in improved self-management of diabetes, similar interventions could be applied to other prevalent chronic diseases. Innovative programs such as LIVE have potential for improving healthcare access in an easily disseminated alternative model of care that potentially improves the reach of self-management training and support.