Qualitative Message Development to Motivate Quitting Smoking in Older Adults: Dementia May Motivate Quitting.

Compared to younger adults, older adults who smoke cigarettes are half as likely to make a quit attempt, but more likely to maintain abstinence using evidence-based smoking treatments (EBSTs), illustrating the need for motivational messages to promote cessation through EBSTs. It is unclear whether messaging regarding the association between smoking and dementia might motivate older adults to quit. We conducted 90-min semi-structured qualitative interviews and surveys via telephone with 24 U.S. older adults who smoke (ages 50-75) with no cognitive impairment history. Rapid content analysis revealed the most reported health-related concern of aging was dementia/cognitive loss/loss of functioning. However, most participants were unaware of the association between cognitive decline and smoking. Participants had seen previous smoking cessation advertisements, but most did not feel motivated to quit by them. The majority found a message about smoking raising dementia risk and quitting decreasing that risk to be motivational for cessation. Exact message content preference varied, but 2 broad categories arose: hope- and fear-based messages. Most participants stated willingness to use some cessation pharmacotherapy and half were willing to use cessation counseling. Participants preferred messages to come from older adults who were successful quitters. To our knowledge, this was the first study to explore potential motivational messages targeting older adult smokers, including the potential acceptability of a dementia-related message in this context. This work supports patient desire for targeted motivational messages for older adult smokers. Messages highlighting the link between smoking and dementia are perceived to be motivational for this group; future work should compare a hope- to fear-based messages.

Outcomes Associated With Translating Evidence-Based Research Into Practice: The Physical Activity for Lifelong Success Program.

BACKGROUND: Few programs assess for outcomes once translated into practice. The Physical Activity for Lifelong Success program was developed as a center-based public health intervention and shown to improve walking speed and distance among older adults with type 2 diabetes. We adapted the program for community-based delivery by lay leaders to physically inactive older adults. METHODS: We followed the Replicating Effective Programs framework to identify community stakeholders, adapt, implement, and evaluate fidelity of delivery in community settings, and plan for maintenance and evolution. Sixteen community sites enrolled 184 adults (mean age 73.5 y, 85% female, 93% White) in 21 workshops. Baseline and postworkshop measures assessed participants' health-related quality of life, physical function, and physical fitness. Data were analyzed using Fisher exact tests, Student t test, and paired linear regression with fixed effects. RESULTS: Fidelity testing indicated leader training was sufficient to maintain key elements with delivery. Data from 122 participants showed improvements in chair stands (P < .001), arm curls (P < .001), 2-minute step test (P < .001), sit-and-reach (P = .001), 8-foot up-and-go (P < .001), and 10-m walk (P < .001). CONCLUSIONS: Adaptation of Physical Activity for Lifelong Success for implementation by community organizations for physically inactive older adults demonstrates that fidelity and effectiveness can be maintained after program translation.

Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults.

BACKGROUND: The clinical narrative in electronic health records (EHRs) carries valuable information for predictive analytics; however, its free-text form is difficult to mine and analyze for clinical decision support (CDS). Large-scale clinical natural language processing (NLP) pipelines have focused on data warehouse applications for retrospective research efforts. There remains a paucity of evidence for implementing NLP pipelines at the bedside for health care delivery. OBJECTIVE: We aimed to detail a hospital-wide, operational pipeline to implement a real-time NLP-driven CDS tool and describe a protocol for an implementation framework with a user-centered design of the CDS tool. METHODS: The pipeline integrated a previously trained open-source convolutional neural network model for screening opioid misuse that leveraged EHR notes mapped to standardized medical vocabularies in the Unified Medical Language System. A sample of 100 adult encounters were reviewed by a physician informaticist for silent testing of the deep learning algorithm before deployment. An end user interview survey was developed to examine the user acceptability of a best practice alert (BPA) to provide the screening results with recommendations. The planned implementation also included a human-centered design with user feedback on the BPA, an implementation framework with cost-effectiveness, and a noninferiority patient outcome analysis plan. RESULTS: The pipeline was a reproducible workflow with a shared pseudocode for a cloud service to ingest, process, and store clinical notes as Health Level 7 messages from a major EHR vendor in an elastic cloud computing environment. Feature engineering of the notes used an open-source NLP engine, and the features were fed into the deep learning algorithm, with the results returned as a BPA in the EHR. On-site silent testing of the deep learning algorithm demonstrated a sensitivity of 93% (95% CI 66%-99%) and specificity of 92% (95% CI 84%-96%), similar to published validation studies. Before deployment, approvals were received across hospital committees for inpatient operations. Five interviews were conducted; they informed the development of an educational flyer and further modified the BPA to exclude certain patients and allow the refusal of recommendations. The longest delay in pipeline development was because of cybersecurity approvals, especially because of the exchange of protected health information between the Microsoft (Microsoft Corp) and Epic (Epic Systems Corp) cloud vendors. In silent testing, the resultant pipeline provided a BPA to the bedside within minutes of a provider entering a note in the EHR. CONCLUSIONS: The components of the real-time NLP pipeline were detailed with open-source tools and pseudocode for other health systems to benchmark. The deployment of medical artificial intelligence systems in routine clinical care presents an important yet unfulfilled opportunity, and our protocol aimed to close the gap in the implementation of artificial intelligence-driven CDS. TRIAL REGISTRATION: ClinicalTrials.gov NCT05745480; https://www.clinicaltrials.gov/ct2/show/NCT05745480.

Training dementia care professionals to help caregivers improve the management of behavioral and psychological symptoms of dementia using the DICE Approach: A pilot study.

Most persons living with dementia (PLWD) exhibit behavioral or psychological symptoms of dementia (BPSD) over the course of the illness. The DICE Approach (DICE) is a framework that enables caregivers to identify, evaluate, and manage BPSD. This pilot pre-post test study examined the effects of DICE training on dementia care professionals' self-efficacy, knowledge, and attitudes regarding care of patients with BPSD. Participants underwent either in-person DICE training or, during the pandemic, online training. Case consultations were offered as additional learning opportunities in challenging situations. Of 134 participants in the trainings, 122 (91.0%) provided survey data for one or more instruments before and after training. Participants experienced significant improvement in knowledge and attitudes with respect to BPSD and improvement in self-efficacy with respect to helping caregivers respond to BPSD. Training dementia care professionals in DICE can improve their capacity to support caregivers in the management of BPSD.

Training professional caregivers to screen for report of cognitive changes in persons with intellectual disability.

Introduction: By age 60, 60% of adults with Down syndrome (DS) have dementia. Detecting dementia in persons with intellectual disability (ID) can be challenging because their underlying cognitive impairment can confound presentation of dementia symptoms and because adults with ID may have difficulty reporting symptoms. The National Task Group Early Detection Screen for Dementia (NTG-EDSD) was developed to aid detection of report of cognitive impairment in adults with ID. We implemented an educational curriculum using the NTG-EDSD and evaluated the impact of the intervention on professional caregivers' self-assessed capacity to identify persons with ID and dementia. Methods: We held five in-person training sessions for professional caregivers of persons with ID, partnering with various managed care organizations and social services agencies. We assessed knowledge and attitudes at baseline; immediately after training; and 1 week, 1 month, and 6 months after training. Results: A total of 154 direct care workers, case managers, health-care providers, and other social services staff attended the trainings. Satisfaction with the NTG-EDSD training was high; 94% of attendees agreed or strongly agreed that they could use the NTG-EDSD with their clients. After training, attendees reported a marked increase in confidence in their ability to track various health circumstances and detect functional decline in their clients, although some gains were not sustained over time. As a result of the training, one managed care organization made the NTG-EDSD a standard part of its assessment of adults with DS starting at age 40. Discussion: Social services and health-care professionals can learn to document signs of cognitive decline in adults with ID using the NTG-EDSD. Attendees were highly satisfied with the training, experienced an increase in confidence in their care of persons with ID, and found the NTG- EDSD feasible to use. Because not all gains were sustained over time, booster trainings may be necessary.

Using Smart Displays to Implement an eHealth System for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial.

BACKGROUND: Voice-controlled smart speakers and displays have a unique but unproven potential for delivering eHealth interventions. Many laptop- and smartphone-based interventions have been shown to improve multiple outcomes, but voice-controlled platforms have not been tested in large-scale rigorous trials. Older adults with multiple chronic health conditions, who need tools to help with their daily management, may be especially good candidates for interventions on voice-controlled devices because these patients often have physical limitations, such as tremors or vision problems, that make the use of laptops and smartphones challenging. OBJECTIVE: The aim of this study is to assess whether participants using an evidence-based intervention (ElderTree) on a smart display will experience decreased pain interference and improved quality of life and related measures in comparison with participants using ElderTree on a laptop and control participants who are given no device or access to ElderTree. METHODS: A total of 291 adults aged ≥60 years with chronic pain and ≥3 additional chronic conditions will be recruited from primary care clinics and community organizations and randomized 1:1:1 to ElderTree access on a smart display along with their usual care, ElderTree access on a touch screen laptop along with usual care, or usual care alone. All patients will be followed for 8 months. The primary outcomes are differences between groups in measures of pain interference and psychosocial quality of life. The secondary outcomes are between-group differences in system use at 8 months, physical quality of life, pain intensity, hospital readmissions, communication with medical providers, health distress, well-being, loneliness, and irritability. We will also examine mediators and moderators of the effects of ElderTree on both platforms. At baseline, 4 months, and 8 months, patients will complete written surveys comprising validated scales selected for good psychometric properties with similar populations. ElderTree use data will be collected continuously in system logs. We will use linear mixed-effects models to evaluate outcomes over time, with treatment condition and time acting as between-participant factors. Separate analyses will be conducted for each outcome. RESULTS: Recruitment began in August 2021 and will run through April 2023. The intervention period will end in December 2023. The findings will be disseminated via peer-reviewed publications. CONCLUSIONS: To our knowledge, this is the first study with a large sample and long time frame to examine whether a voice-controlled smart device can perform as well as or better than a laptop in implementing a health intervention for older patients with multiple chronic health conditions. As patients with multiple conditions are such a large cohort, the implications for cost as well as patient well-being are significant. Making the best use of current and developing technologies is a critical part of this effort. TRIAL REGISTRATION: ClinicalTrials.gov NCT04798196; https://clinicaltrials.gov/ct2/show/NCT04798196. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/37522.

The Feasibility and Effectiveness of a Community-Based Intervention to Reduce Sedentary Behavior in Older Adults.

The purpose of this study was to examine the effectiveness and feasibility of translating a 4-week "Stand Up and Move More" (SUMM) intervention by state aging units to older adults (N = 56, M age = 74 years). A randomized controlled trial assessed sedentary behavior, physical function, and health-related quality of life (HRQoL) before and after the intervention. Participants included healthy community-dwelling, sedentary (sit > 6 hr/day) and aged ≥ 55 years adults. For the primary outcome, the SUMM group (n = 31) significantly (p < .05) reduced total sedentary time post-intervention by 68 min/day on average (Cohen's d = -0.56) compared with no change in the wait-list control group (n = 25, Cohen's d = 0.12). HRQoL and function also improved (p < .05) in the SUMM group post-intervention. Workshop facilitators indicated the intervention was easy to implement, and participants expressed high satisfaction. The SUMM intervention reduced sedentary time, improved physical function and HRQoL, and was feasible to implement in community settings.

Effect of an eHealth intervention on older adults' quality of life and health-related outcomes: a randomized clinical trial.

BACKGROUND: By 2030, the number of US adults age ≥65 will exceed 70 million. Their quality of life has been declared a national priority by the US government. OBJECTIVE: Assess effects of an eHealth intervention for older adults on quality of life, independence, and related outcomes. DESIGN: Multi-site, 2-arm (1:1), non-blinded randomized clinical trial. Recruitment November 2013 to May 2015; data collection through November 2016. SETTING: Three Wisconsin communities (urban, suburban, and rural). PARTICIPANTS: Purposive community-based sample, 390 adults age ≥65 with health challenges. EXCLUSIONS: long-term care, inability to get out of bed/chair unassisted. INTERVENTION: Access (vs. no access) to interactive website (ElderTree) designed to improve quality of life, social connection, and independence. MEASURES: Primary outcome: quality of life (PROMIS Global Health). Secondary: independence (Instrumental Activities of Daily Living); social support (MOS Social Support); depression (Patient Health Questionnaire-8); falls prevention (Falls Behavioral Scale). Moderation: healthcare use (Medical Services Utilization). Both groups completed all measures at baseline, 6, and 12 months. RESULTS: Three hundred ten participants (79%) completed the 12-month survey. There were no main effects of ElderTree over time. Moderation analyses indicated that among participants with high primary care use, ElderTree (vs. control) led to better trajectories for mental quality of life (OR=0.32, 95% CI 0.10-0.54, P=0.005), social support received (OR=0.17, 95% CI 0.05-0.29, P=0.007), social support provided (OR=0.29, 95% CI 0.13-0.45, P<0.001), and depression (OR= -0.20, 95% CI -0.39 to -0.01, P=0.034). Supplemental analyses suggested ElderTree may be more effective among people with multiple (vs. 0 or 1) chronic conditions. LIMITATIONS: Once randomized, participants were not blind to the condition; self-reports may be subject to memory bias. CONCLUSION: Interventions like ET may help improve quality of life and socio-emotional outcomes among older adults with more illness burden. Our next study focuses on this population. TRIAL REGISTRATION: ClinicalTrials.gov ; registration ID number: NCT02128789.

Applying the lessons of implementation science to maximize feasibility and usability in team science intervention development.

The Science of Team Science (SciTS) has generated a substantial body of work detailing characteristics of effective teams. However, that knowledge has not been widely translated into accessible, active, actionable, evidence-based interventions to help translational teams enhance their team functioning and outcomes. Over the past decade, the field of Implementation Science has rapidly developed methods and approaches to increase the translation of biomedical research findings into clinical care, providing a roadmap for mitigating the challenges of developing interventions while maximizing feasibility and utility. Here, we propose an approach to intervention development using constructs from two Implementation Science frameworks, Consolidated Framework for Implementation Research, and Reach, Effectiveness, Adoption, Implementation, and Maintenance, to extend the Wisconsin Interventions for Team Science framework described in Rolland et al. 2021. These Implementation Science constructs can help SciTS researchers design, build, test, and disseminate interventions that meet the needs of both adopters, the institutional leadership that decides whether to adopt an intervention, and implementers, those actually using the intervention. Systematically considering the impact of design decisions on feasibility and usability may lead to the design of interventions that can quickly move from prototype to pilot test to pragmatic trials to assess their impact.

Integrating dissemination and implementation sciences within Clinical and Translational Science Award programs to advance translational research: Recommendations to national and local leaders.

The National Center for Advancing Translational Sciences (NCATS) has defined translation as the process of turning observations into interventions that are adopted, sustained, and improve health. Translation must attend to research and community systems and context at multiple levels, and to key stakeholders. Dissemination and implementation (D&I) sciences are informed by an understanding of the critical role of people and systems in disseminating, adopting, and sustaining innovations within real-world settings. Thus, the D&I sciences provides a set of principles that can guide the translational work of Clinical and Translational Science Award (CTSA) programs from basic research to public health. In this special communication, our cross-domain working group of the CTSA consortium, comprised of experts in methods and processes, workforce development, evaluation, stakeholder engagement, and D&I sciences, share a vision of how CTSAs can enhance translation across the translational spectrum through the integration of D&I sciences into the critical areas of methods and processes, workforce development, and evaluation. We propose a set of recommendations for NCATS national and local leaders that are intended to move D&I sciences out of a position of unfamiliarity and ancillary value and into the core identity of who CTSAs are, how they think, and what they do, to advance translation and health.

Encouraging the scale-up of proven interventions: Infrastructure development for the "Evidence-to-Implementation" award.

BACKGROUND/OBJECTIVE: Although most research universities offer investigators help in obtaining patents for inventions, investigators generally have few resources for scaling up non-patentable innovations, such as health behavior change interventions. In 2017, the dissemination and implementation (D & I) team at the University of Wisconsin's Clinical and Translational Science Award (CTSA) created the Evidence-to-Implementation (E2I) award to encourage the scale-up of proven, non-patentable health interventions. The award was intended to give investigators financial support and business expertise to prepare evidence-based interventions for scale-up. METHODS: The D & I team adapted a set of criteria named Critical Factors Assessment, which has proven effective in predicting the success of entrepreneurial ventures outside the health care environment, to use as review criteria for the program. In March 2018 and February 2020, multidisciplinary panels assessed proposals using a review process loosely based on the one used by the NIH for grant proposals, replacing the traditional NIH scoring criteria with the eight predictive factors included in Critical Factors Assessment. RESULTS: two applications in 2018 and three applications in 2020 earned awards. Funding has ended for the first two awardees, and both innovations have advanced successfully. CONCLUSION: Late-stage translation, though often overlooked by the academic community, is essential to maximizing the overall impact of the science generated by CTSAs. The Evidence-to-implementation award provides a working model for supporting late-stage translation within a CTSA environment.

Implementation for Sustained Impact in Teleophthalmology (I-SITE): applying the NIATx Model for tailored implementation of diabetic retinopathy screening in primary care.

BACKGROUND: Teleophthalmology provides evidence-based, telehealth diabetic retinopathy screening that is underused even when readily available in primary care clinics. There is an urgent need to increase teleophthalmology use in the US primary care clinics. In this study, we describe the development of a tailored teleophthalmology implementation program and report outcomes related to primary care provider (PCP) adoption. METHODS: We applied the 5 principles and 10 steps of the NIATx healthcare process improvement model to develop and test I-SITE (Implementation for Sustained Impact in Teleophthalmology) in a rural, the US multi-payer health system. This implementation program allows patients and clinical stakeholders to systematically tailor teleophthalmology implementation to their local context. We aligned I-SITE components and implementation strategies to an updated ERIC (Expert Recommendations for Implementing Change) framework. We compared teleophthalmology adoption between PCPs who did or did not participate in various components of I-SITE. We surveyed PCPs and clinical staff to identify the strategies they believed to have the highest impact on teleophthalmology use. RESULTS: To test I-SITE, we initiated a year-long series of 14 meetings with clinical stakeholders (n=22) and met quarterly with patient stakeholders (n=9) in 2017. Clinical and patient stakeholder groups had 90.9% and 88.9% participant retention at 1 year, respectively. The increase in teleophthalmology use was greater among PCPs participating in the I-SITE implementation team than among other PCPs (p < 0.006). The proportion of all PCPs who used the implementation strategy of electing diabetic eye screening for their annual performance-based financial incentive increased from 0% (n=0) at baseline to 56% (n=14) following I-SITE implementation (p = 0.004). PCPs and clinical staff reported the following implementation strategies as having the highest impact on teleophthalmology use: reminders to ask patients about diabetic eye screening during clinic visits, improving electronic health record (EHR) documentation, and patient outreach. CONCLUSIONS: We applied the NIATx Model to develop and test a teleophthalmology implementation program for tailored integration into primary care clinics. The NIATx Model provides a systematic approach to engaging key stakeholders for tailoring implementation of evidence-based telehealth interventions into their local context.

Peer-to-Peer Support and Changes in Health and Well-being in Older Adults Over Time.

Importance: Literature on peer-to-peer (P2P) programs suggests they improve health and well-being of older adults. Analysis from a previous study showed P2P to be associated with higher rates of hospitalization and no significant differences in rates of emergency department or urgent care visits; however, it is not known whether measures of health and well-being varied by group over time. Objective: To compare the association between receiving P2P support and secondary outcomes (ie, health status, quality of life, and depressive and anxiety symptoms) with receiving standard community services (SCS) over time. Design, Setting, and Participants: This cohort study was conducted among a volunteer sample of older adults (≥65 years) who were new to P2P or were already receiving P2P and a corresponding control group. Participants were matched between groups on age, sex, and race/ethnicity. The study was conducted from March 2015 to December 2017 at 3 community-based organizations that delivered P2P in California, Florida, and New York. Data analysis was performed from October 2018 through May 2020. Exposures: P2P support, provided by trained older adult volunteers. Main Outcomes and Measures: Mental and physical components of the health status and quality of life measure and depressive and anxiety symptoms were collected over 12 months. The hypothesis was that older adults receiving P2P support would maintain higher health status and quality of life than the SCS group. Results: A total of 503 participants were screened, 456 participants were enrolled and had baseline data, and 8 participants only had baseline information with no follow-up data, leaving 448 participants (231 [52%] in the SCS group; 217 [48%] in the P2P group; 363 [81%] women; mean [SD] age, 80 [9] years). The P2P group had improvements in mental health (change at 12 months, 1.1 points; 95% CI, -0.8 to 3.0 points) and physical health (change at 12 months, 1.0 points; 95% CI, -0.7 to 2.8 points). However, the difference of differences between the 2 groups did not differ significantly from baseline to 12 months (mental health: 0.2 points; 95% CI -2.3 to 2.7 points; physical health: 1.7 points; 95% CI, -0.6 to 3.9 points). The P2P and SCS groups had a statistically significant difference of differences in anxiety symptoms of 0.36 points (95% CI, 0.04 to 0.61 points). There were no significant differences in depressive symptoms or mental and physical components of the health status and quality of life. Conclusions and Relevance: These findings suggest that receiving P2P support did not slow the decline of health and well-being in older adults compared with those who received SCS. Baseline imbalance in key characteristics, even after adjusting for the imbalance using the propensity score method, may explain the results. Randomized trials are needed.

Essential elements to "design for dissemination" within a research network-a modified Delphi study of the Community-Academic Aging Research Network (CAARN).

BACKGROUND: The Community-Academic Aging Research Network (CAARN) was developed in 2010 to build partnerships, facilitate research, and ultimately accelerate the pace of development, testing, and dissemination of evidence-based programs related to healthy aging. CAARN has facilitated development and testing of 32 interventions, two of which are being packaged for scale-up, and three of which are being scaled up nationally by non-profit organizations. The purpose of this study is to describe CAARN's essential elements required to replicate its success in designing for dissemination. METHODS: We conducted a modified Delphi technique with 31 participants who represented CAARN's organization (staff and Executive Committee) and academic and community partners. Participants received three rounds of a web-based survey to rate and provide feedback about the importance of a list of potential key elements compiled by the authors. The criterion for establishing consensus was 80% of responses to consider the element to be extremely or very important. RESULTS: Response rate was 90% in Round 1, 82% in Round 2, and 87% in Round 3. A total of 115 items were included across rounds. Overall, consensus was achieved in 77 (67%) elements: 8 of 11 elements about academic partners, 8 of 11 about community partners, 29 of 49 about the role of the community research associate, 16 of 21 about the role of the director, 9 of 17 about the purveyor (i.e., the organization that scales up an intervention with fidelity), and 7 of 7 about the overall characteristics of the network. CONCLUSIONS: The development of evidence-based programs designed for dissemination requires the involvement of community partners, the presence of a liaison that facilitates communications among academic and community stakeholders and a purveyor, and the presence of a pathway to dissemination through a relationship with a purveyor. This study delineates essential elements that meet the priorities of adopters, implementers, and end-users and provide the necessary support to community and academic partners to develop and test interventions with those priorities in mind. Replication of these key elements of the CAARN model may facilitate quicker development, testing, and subsequent dissemination of evidence-based programs that are feasible to implement by community organizations.

A Web-Based eHealth Intervention to Improve the Quality of Life of Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial.

BACKGROUND: Multiple chronic conditions (MCCs) are common among older adults and expensive to manage. Two-thirds of Medicare beneficiaries have multiple conditions (eg, diabetes and osteoarthritis) and account for more than 90% of Medicare spending. Patients with MCCs also experience lower quality of life and worse medical and psychiatric outcomes than patients without MCCs. In primary care settings, where MCCs are generally treated, care often focuses on laboratory results and medication management, and not quality of life, due in part to time constraints. eHealth systems, which have been shown to improve multiple outcomes, may be able to fill the gap, supplementing primary care and improving these patients' lives. OBJECTIVE: This study aims to assess the effects of ElderTree (ET), an eHealth intervention for older adults with MCCs, on quality of life and related measures. METHODS: In this unblinded study, 346 adults aged 65 years and older with at least 3 of 5 targeted high-risk chronic conditions (hypertension, hyperlipidemia, diabetes, osteoarthritis, and BMI ≥30 kg/m2) were recruited from primary care clinics and randomized in a ratio of 1:1 to one of 2 conditions: usual care (UC) plus laptop computer, internet service, and ET or a control consisting of UC plus laptop and internet but no ET. Patients with ET have access for 12 months and will be followed up for an additional 6 months, for a total of 18 months. The primary outcomes of this study are the differences between the 2 groups with regard to measures of quality of life, psychological well-being, and loneliness. The secondary outcomes are between-group differences in laboratory scores, falls, symptom distress, medication adherence, and crisis and long-term health care use. We will also examine the mediators and moderators of the effects of ET. At baseline and months 6, 12, and 18, patients complete written surveys comprising validated scales selected for good psychometric properties with similar populations; laboratory data are collected from eHealth records; health care use and chronic conditions are collected from health records and patient surveys; and ET use data are collected continuously in system logs. We will use general linear models and linear mixed models to evaluate primary and secondary outcomes over time, with treatment condition as a between-subjects factor. Separate analyses will be conducted for outcomes that are noncontinuous or not correlated with other outcomes. RESULTS: Recruitment was conducted from January 2018 to December 2019, and 346 participants were recruited. The intervention period will end in June 2021. CONCLUSIONS: With self-management and motivational strategies, health tracking, educational tools, and peer community and support, ET may help improve outcomes for patients coping with ongoing, complex MCCs. In addition, it may relieve some stress on the primary care system, with potential cost implications. TRIAL REGISTRATION: ClinicalTrials.gov NCT03387735; https://www.clinicaltrials.gov/ct2/show/NCT03387735. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/25175.

Erratum: Integrating dissemination and implementation sciences within Clinical and Translational Science Award programs to advance translational research: Recommendations to national and local leaders - ERRATUM.

[This corrects the article DOI: 10.1017/cts.2021.815.].

Sustaining Gains in Diabetic Eye Screening: Outcomes from a Stakeholder-Based Implementation Program for Teleophthalmology in Primary Care.

Background: Teleophthalmology is a validated method for diabetic eye screening that is underutilized in U.S. primary care clinics. Even when made available to patients, its long-term effectiveness for increasing screening rates is often limited. Introduction: We hypothesized that a stakeholder-based implementation program could increase teleophthalmology use and sustain improvements in diabetic eye screening. Materials and Methods:We used the NIATx Model to test a stakeholder-based teleophthalmology implementation program, I-SITE at one primary care clinic (Main) and compared teleophthalmology use and diabetic eye screening rates with those of other primary care clinics (Outreach) within a U.S. multipayer health system where teleophthalmology was underutilized.Results:Teleophthalmology use increased post-I-SITE implementation (odds ratio [OR] = 5.73 [p < 0.001]), and was greater at the Main than at the Outreach clinics (OR = 10.0 vs. 1.69, p < 0.001). Overall diabetic eye screening rates maintained an increase from 47.4% at baseline to 60.2% and 64.1% at 1 and 2 years post-I-SITE implementation, respectively (p < 0.001). Patients who were younger (OR = 0.98 per year of age, p = 0.02) and men (OR = 1.98, p = 0.002) were more likely to use teleophthalmology than in-person dilated eye examinations for diabetic eye screening.Discussion: Our stakeholder-based implementation program achieved a significant increase in overall teleophthalmology use and maintained increased post-teleophthalmology diabetic eye screening rates. Conclusion: Stakeholder-based implementation may increase the long-term reach and effectiveness of teleophthalmology to reduce vision loss from diabetes. Our approach may improve integration of telehealth interventions into primary care.

Evaluation of Peer-to-Peer Support and Health Care Utilization Among Community-Dwelling Older Adults.

Importance: The vast majority of older adults desire to age in their communities, and it is not clear what helps them be successful at aging in place. Objective: To investigate the comparative effectiveness of community-designed and community-implemented peer-to-peer (P2P) support programs vs standard community services (SCS) to promote health and wellness in at-risk older adults. Design, Setting, and Participants: This comparative effectiveness study involved a longitudinal cohort of adults aged 65 years and older conducted between 2015 and 2017. The setting was 3 communities in which community-based organizations delivered P2P services to older adults in California, Florida, and New York. Participants in the P2P group and in the SCS group were matched at enrollment into the study according to age, sex, and race/ethnicity at each site. Data analysis was performed from October 2018 to May 2020. Exposures: P2P support was provided by trained older adult volunteers in the same community. They provided support targeted at the needs of the older adult they served, including transportation assistance, check-in calls, social activities, help with shopping, and trips to medical appointments. Main Outcomes and Measures: Rates of hospitalization, urgent care (UC) and emergency department (ED) use, and a composite measure of health care utilization were collected over 12 months of follow-up. Results: A total of 503 participants were screened, 456 participants were enrolled and had baseline data (234 in the SCS group and 222 in the P2P group), and 8 participants had no follow-up data, leaving 448 participants for the main analysis (231 in the SCS group and 217 in the P2P group; 363 women [81%]; mean [SD] age, 80 [9] years). Participants in the P2P group more often lived alone, had lower incomes, and were more physically and mentally frail at baseline compared with the SCS group. After adjusting for propensity scores to account for baseline differences between the 2 groups, there was a statistically significant higher rate of hospitalization in the P2P group than in the SCS group (0.68 hospitalization per year vs 0.44 hospitalization per year; risk ratio, 1.54; 95% CI, 1.14-2.07; P = .005) during the 12 months of observation. There were no significant differences between the 2 groups in the rates of ED or UC visits or composite health care utilization over the 12 months of the study. Conclusions and Relevance: P2P support was associated with higher rates of hospitalization but was not associated with other measures of health care utilization. Given that this is not a randomized clinical trial, it is not clear from these findings whether peer support will help older adults age in place, and the topic deserves further study.