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Background: Screening in primary care for unmet individual social needs (e.g., housing instability, food insecurity, unemployment, social isolation) is critical to addressing the deleterious effects on patients’ health outcomes. Evidence is needed regarding approaches to implementing such screening in routine clinical encounters to enhance social care integration. To our knowledge, this is the first study to apply an implementation science framework to identify implementation factors and best practices.Methods: Guided by the Health Equity Implementation Framework (HEIF), we collected qualitative data from providers and patients to evaluate barriers and facilitators to implementing the Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences (PRAPARE), a standardized social needs screening and response protocol, in a federally qualified health center. Eligible patients (n = 2,192) who received the PRAPARE as a standard of care at three of the center’s clinics (Adult Medicine, Family Medicine, and Pediatrics) were invited to participate in semi-structured interviews. We also obtained front-line clinician perspectives in a semi-structured focus group. We used HEIF domains to inform a directed content analysis.Results: Patients and clinicians (i.e., case managers) reported implementation barriers and facilitators across multiple levels (e.g., clinical encounters, patient and provider factors, inner context, outer context, and societal influence). Implementation barriers included structural and policy level determinants related to resource availability, discrimination, and administrative burden. Facilitators included evidence-based clinical techniques for shared decision making (e.g., motivational interviewing), team-based staffing models, and beliefs related to alignment of the PRAPARE with patient-centered care. We found high levels of patient acceptability and opportunities for adaptation to increase equitable adoption and reach.Conclusion: Our results provide practical insight into the implementation of the PRAPARE or similar social needs screening and response protocols in primary care. Our findings highlight the dynamic relationship between barriers and facilitators to implementation at the individual encounter, organizational, community, and societal levels. Future research should focus on developing discrete implementation strategies to promote social needs screening and response, and associated multisector care coordination to improve health outcomes and equity for vulnerable and marginalized patient populations.

Interprofessional teamwork plays a key role in the uptake of evidence-based interventions, such as noninvasive ventilation (NIV) for patients with exacerbated Chronic Obstructive Pulmonary Disease (COPD). We aimed to identify the shared cognitive tasks in interprofessional teams using NIV for patients with COPD exacerbation. We used a cognitive task analysis approach (CTA) to engage nurses, rapid response team members, respiratory therapists, and physicians involved in the use of NIV to treat patients with COPD exacerbation. Clinicians participated in a semi-structured interview (

Background Developing effective implementation strategies requires adequate tracking and reporting on their application. Guidelines exist for defining and reporting on implementation strategy characteristics, but not for describing how strategies are adapted and modified in practice. We built on existing implementation science methods to provide novel methods for tracking strategy modifications. Methods These methods were developed within a stepped-wedge trial of an implementation strategy package designed to help community clinics adopt social determinants of health-related activities: in brief, an ‘Implementation Support Team’ supports clinics through a multi-step process. These methods involve five components: 1) describe planned strategy; 2) track its use; 3) monitor barriers; 4) describe modifications; and 5) identify / describe new strategies. We used the Expert Recommendations for Implementing Change taxonomy to categorize strategies, Proctor et al.’s reporting framework to describe them, the Consolidated Framework for Implementation Research to code barriers / contextual factors necessitating modifications, and elements of the Framework for Reporting Adaptations and Modifications-Enhanced to describe strategy modifications. Results We present three examples of the use of these methods: 1) modifications made to a facilitation-focused strategy (clinics reported that certain meetings were too frequent, so their frequency was reduced in subsequent wedges); 2) a clinic-level strategy addition which involved connecting one study clinic seeking help with community health worker-related workflows to another that already had such a workflow in place; 3) a study-level strategy addition which involved providing assistance in overcoming previously encountered (rather than de novo) challenges. Conclusions These methods for tracking modifications made to implementation strategies build on existing methods, frameworks, and guidelines; however, as none of these were a perfect fit, we made additions to several frameworks as indicated, and used certain frameworks’ components selectively. While these methods are time-intensive, and more work is needed to streamline them, they are among the first such methods presented to implementation science. As such, they may be used in research on assessing effective strategy modifications and for replication and scale-up of effective strategies. We present these methods to guide others seeking to document implementation strategies and modifications to their studies. Trial registration clinicaltrials.gov ID: NCT03607617 (first posted 31/07/2018).

Characterization of critical reagents can mitigate adverse impact to ligand-binding assay performance. We investigated the conjugation conditions of a bispecific protein to SULFO-TAG NHS-Ester™ ruthenium to resolve a steady increase in ligand-binding assay background signal. Functional and biophysical attributes in stability samples revealed low pH (4.0) conjugation and formulation buffers were key to decrease aggregate formation. We also identified pH-specific (3.0) purification conditions to reduce aggregate levels from 37% to

INTRODUCTION: The coronavirus 2019 pandemic (COVID-19) has resulted in major changes in lifestyle practices and healthcare delivery. The goal of this study was to examine changes in practice and service outcomes in a telehealth program before and after the federal and private telehealth policy expansion during the COVID-19 pandemic. These findings are particularly useful to understand what may be needed to overcome telehealth challenges in future disasters. METHODS: We conducted a cross-sectional analysis of virtual visits through a statewide telehealth center embedded in a large academic healthcare system. Primary outcomes of this study were changes in telehealth visits pre- and post-policy expansions among at-risk populations. RESULTS: A total of 2,132 telehealth visits were conducted: 1,530 (71.8 percent) patients were female, 1,561 (73.2 percent) were between the ages 18-50, 1,576 (74 percent) were uninsured, and 1,225 (57.5 percent) were from rural regions. The average number of telehealth visits per day increased from 14 to 33 visits post-expansion. A significant change in patient characteristics was found among senior, uninsured, and rural patients after the telehealth expansion. There was an 11 percent decrease in telehealth visits from very high vulnerability regions post-expansion compared to pre-expansion. There was a 15 percent decrease in visits resulting in prescription post-expansion (p-value

INTRODUCTION: To examine trends in telemedicine adoption for stroke and cardiac care among U.S. hospitals, specifically associations between hospital financial indicators and adoption of these telemedicine services. METHODS: This is a retrospective analysis of data from the Health Information Management and System Society Dorenfest Database and Healthcare Cost Report Information System from 2012 to 2017. We used a pooled ordinary least squares model and reported results as average marginal effects (AMEs). RESULTS: The number of hospitals with stroke or cardiac telemedicine services in urban and rural areas increased through our study period from 153 (7.30%) to 407 (19.42%) and from 127 (6.31%) to 331 (16.45%), respectively. In rural hospitals, being a for-profit hospital (AME = −10.49, 95% confidence interval [CI] = −14.01 to −6.98) and having an increase in Medicare inpatient mix (AME = −0.31, 95% CI = −0.42 to −0.20) were associated with the probability of telemedicine adoption for heart attack and stroke care. A couple of nonfinancial variables included in the model also were associated with adoption, specifically having one more licensed bed (AME = −0.02, 95% CI = −0.04 to −0.00) and higher number of emergency department visits (AME = 5.64, 95% CI = 2.83 to 7.20). In urban hospitals, being a for-profit hospital (AME = −8.94, 95% CI = −11.76 to −6.11) and having a higher total margin (AME = 0.17, 95% CI = 0.08 to 0.26) were associated with the probability of telemedicine adoption for heart attack and stroke care. Two nonfinancial variables also were statistically significant: having one more licensed bed (AME = 0.01, 95% CI = 0.041 to 0.02) and being closer to another telemedicine hospital (AME = 0.81, 95% CI = −1.62 to 0.01). DISCUSSIONS: Telemedicine adoption rate for cardiac and stroke care has increased significantly in recent years. Financial status may be a bigger driver of adoption for urban hospitals than rural hospitals.

BACKGROUND: Low retention is a persistent challenge in the delivery of buprenorphine treatment for opioid use disorder (OUD). The goal of this study was to identify provider factors that could drive differences in treatment retention while accounting for the contribution of patient characteristics to retention. METHODS: We developed a novel a mixed-methods approach to explore provider factors that could drive retention while accounting for patient characteristics. We used Medicaid claims data from North Carolina in the United States to identify patient characteristics associated with higher retention. We then identified providers who achieved high and low retention rates. We matched high- and low-retention providers on their patients’ characteristics. This matching created high- and low-retention provider groups whose patients had similar characteristics. We then interviewed providers while blinded to which belonged in the high- and low-retention groups on aspects of their practice that could affect retention rates, such as treatment criteria, treatment cost, and services offered. RESULTS: Less than half of patients achieved 180-day treatment retention with large differences by race and ethnicity. We did not find evidence that providers who achieved higher retention consistently did so by providing more comprehensive services or selecting for more stable patients. Rather, our findings suggest use of “high-threshold” clinical approaches, such as requiring participation in psychosocial services or strictly limiting dosages, explain differences in retention rates between providers whose patients have similar characteristics. All low-retention providers interviewed used a high-threshold practice compared to half of high-retention providers interviewed. Requiring patients to participate in psychosocial services, which were often paid out-of-pocket, appeared to be especially important in limiting retention. CONCLUSION: Providers who adopt low-threshold approaches to treatment may achiever higher retention rates than those who adopt high-threshold approaches. Addressing cost barriers and systemic racism are likely also necessary for improving buprenorphine treatment retention.

Surgically treated hydrocephalus patients are frequently imaged with head computed tomography (CT), and risk/benefit communication with families is inconsistent and unknown. We aimed to educate patients and caregivers about radiation safety in CT and explore their communication preferences. We conducted a pediatric CT radiation safety and diagnostic imaging educational workshop for patients and caregivers at a national conference on hydrocephalus to characterize current practice and desired communication about CT imaging. Our workshop consisted of an interactive educational intervention with pre-/post-session surveys followed by feedback from participants. Our session included 34 participants (100% response rate for surveys) with 28 being parents of individuals with hydrocephalus. A total of 76% (n = 26) participants showed an increase in knowledge after the session (p 100 CT scans for shunt evaluation with the median being 25 scans (IQR 20). Caregivers desire and deserve to be empowered through education and social support, and continuously engaged through sharing decisions and co-designing care plans. The neurosurgical community is in an ideal position to collaborate with radiologists, primary care providers, and parents in the development and testing of credible, high-quality online and social media resources.

Guidelines recommend palliative care for patients with chronic kidney disease (CKD), who experience a high pain and symptom burden, and receive intensive treatments that often do not align with their values. A lack of scalable specialty palliative care services has prompted calls for attention to primary palliative care, delivered in primary care and nephrology settings.The objectives of this study were to 1) describe expectations for care to meet the palliative care needs of people living with CKD, and limitations to meeting those expectations in the current model, and 2) identify potential interventions to meet patients' palliative care needs.We conducted semi-structured interviews with clinicians from primary care, nephrology, and palliative care to assess 1) reasonable expectations for meeting palliative needs, 2) barriers to integrating primary palliative care, and 3) potential intervention points.Clinicians discussed their expectations for high-quality communication (e.g., discussing disease understanding, assessing goals of care) and better integration of palliative care services. Clinicians expressed barriers to delivering that care, including poor inter-clinician communication. To address barriers, clinicians outlined potential intervention points, such as building collaborative models of care, and structural triggers to identify patients who may be appropriate for palliative care.Interventions to address gaps in palliative care delivery for people living with CKD should incorporate systematic identification of patients with palliative care needs and structural mechanisms to meeting those needs via specialty and primary palliative care.

Background Practice facilitators (PFs) provide tailored support to primary care practices to improve the quality of care delivery. Often used by PFs, the “Key Driver Implementation Scale” (KDIS) measures the degree to which a practice implements quality improvement activities from the Chronic Care Model, but the scale’s psychometric properties have not been investigated. We examined construct validity, reliability, floor and ceiling effects, and a longitudinal trend test of the KDIS items in the Southeastern Collaboration to Improve Blood Pressure Control trial. Methods The KDIS items assess a practice’s progress toward implementing: a clinical information system (using their own data to drive change); standardized care processes; optimized team care; patient self-management support; and leadership support. We assessed construct validity and estimated reliability with a multilevel confirmatory factor analysis (CFA). A trend test examined whether the KDIS items increased over time and estimated the expected number of months needed to move a practice to the highest response options. Results PFs completed monthly KDIS ratings over 12 months for 32 primary care practices, yielding a total of 384 observations. Data was fitted to a unidimensional CFA model; however, parameter fit was modest and could be improved. Reliability was 0.70. Practices started scoring at the highest levels beginning in month 5, indicating low variability. The KDIS items did show an upward trend over 12 months (all p < .001), indicating that practices were increasingly implementing key activities. The expected time to move a practice to the highest response category was 9.1 months for standardized care processes, 10.2 for clinical information system, 12.6 for self-management support, 13.1 for leadership, and 14.3 months for optimized team care. Conclusions The KDIS items showed acceptable reliability, but work is needed in larger sample sizes to determine if two or more groups of implementation activities are being measured rather than one.

Background: This study brings a human-centered design (HCD) perspective to understanding the patient experience when using noninvasive ventilation (NIV) with the goal of creating better strategies to improve NIV comfort and tolerance. Methods: Using an HCD motivational approach, we created a semi-structured interview to uncover the patients' journey while being treated with NIV. We interviewed 16 patients with chronic obstructive pulmonary disease (COPD) treated with NIV while hospitalized. Patients' experiences were captured in a stepwise narrative creating a journey map as a framework describing the overall experience and highlighting the key processes, tensions, and flows. We broke the journey into phases, steps, emotions, and themes to get a clear picture of the overall experience levers for patients. Results: The following themes promoted NIV tolerance: trust in the providers, the favorable impression of the facility and staff, understanding why the mask was needed, how NIV works and how long it will be needed, immediate relief of the threatening suffocating sensation, familiarity with similar treatments, use of meditation and mindfulness, and the realization that treatment was useful. The following themes deterred NIV tolerance: physical and psychological discomfort with the mask, impaired control, feeling of loss of control, and being misinformed. Conclusions: Understanding the reality of patients with COPD treated with NIV will help refine strategies that can improve their experience and tolerance with NIV. Future research should test ideas with the best potential and generate prototypes and design iterations to be tested with patients.

OBJECTIVE: To determine if individuals newly diagnosed with opioid use disorder (OUD) who saw a primary care provider (PCP) prior to or on the date of diagnosis had higher rates of medication treatment for OUD (MOUD). METHODS: Observational study using logistic regression with claims data from Medicaid and a large private insurer in North Carolina from January 2014 to July 2017. KEY RESULTS: Between 2014 and 2017, the prevalence of diagnosed OUD increased by 47% among Medicaid enrollees and by 76% among the privately insured. Over the same time period, the percent of people with an OUD who received MOUD fell among both groups, while PCP involvement in treatment increased. Of Medicaid enrollees receiving buprenorphine, the percent receiving buprenorphine from a PCP increased from 32% in 2014 to 39% in 2017. Approximately 82% of people newly diagnosed with OUD had a PCP visit in the 12 months before diagnosis in Medicaid and private insurance. Those with a prior PCP visit were not more likely to receive MOUD. Seeing a PCP at diagnosis was associated with a higher probability of receiving MOUD than seeing an emergency provider but a lower probability than seeing a behavioral health specialist or other provider type. CONCLUSIONS: People newly diagnosed with OUD had high rates of contact with PCPs prior to diagnosis, supporting the importance of PCPs in diagnosing OUD and connecting people to MOUD. Policies and programs to increase access to MOUD and improve PCPs’ ability to connect people to evidence-based treatment are needed.

Background There is strong evidence that noninvasive ventilation (NIV) improves the outcomes of patients hospitalized with severe COPD exacerbation, and NIV is recommended as the first-line therapy for these patients. Yet, several studies have demonstrated substantial variation in NIV use across hospitals, leading to preventable morbidity and mortality. In addition, prior studies suggested that efforts to increase NIV use in COPD need to account for the complex and interdisciplinary nature of NIV delivery and the need for team coordination. Therefore, our initial project aimed to compare two educational strategies: online education (OLE) and interprofessional education (IPE), which targets complex team-based care in NIV delivery. Due to the impact of the COVID-19 pandemic on recruitment and planned intervention, we had made several changes in the study design, statistical analysis, and implementation strategies delivery as outlined in the methods. Methods We originally proposed a two-arm, pragmatic, cluster, randomized hybrid implementation-effectiveness trial comparing two education strategies to improve NIV uptake in patients with severe COPD exacerbation in 20 hospitals with a low baseline rate of NIV use. Due to logistical constrains and slow recruitment, we changed the study design to an opened cohort stepped-wedge design with three steps which will allow the institutions to enroll when they are ready to participate. Only the IPE strategy will be implemented, and the education will be provided in an online virtual format. Our primary outcome will be the hospital-level risk-standardized NIV proportion for the period post-IPE training, along with the change in rate from the period prior to training. Aim 1 will compare the change over time of NIV use among patients with COPD in the step-wedged design. Aim 2 will explore the mediators’ role (respiratory therapist autonomy and team functionality) on the relationship between the implementation strategies and effectiveness. Finally, in Aim 3, through interviews with providers, we will assess the acceptability and feasibility of the educational training. Conclusion The changes in study design will result in several limitation. Most importantly, the hospitals in the three cohorts are not randomized as they enroll based on their readiness. Second, the delivery of the IPE is virtual, and it is not known if remote education is conducive to team building. However, this study will be among the first to test the impact of IPE in the inpatient setting carefully and may generalize to other interventions directed to seriously ill patients. Trial registration ClinicalTrials.govNCT04206735. Registered on December 20, 2019

Background Limited evidence exists on how to integrate community pharmacists into team-based care models, as the inclusion of community pharmacy services into alternative payment models is relatively new. To be successful in team-based care models, community pharmacies need to successfully build relationship with diverse stakeholders including providers, care managers, and patients. Objectives The aims of this study are to: (1) identify the role of network ties to support implementation of a community pharmacy enhanced services network, (2) describe how these network ties are formed and maintained, and (3) compare the role of network ties among high- and low-performing community pharmacies participating in an enhanced services network. Methods Using a semi-structured interview guide, we interviewed 40 community pharmacy representatives responsible for implementation of a community pharmacy enhanced services program. We analyzed for themes using social network theory to compare network ties among 24 high- and 16 low-performing community pharmacies. Results The study found that high-performing pharmacies had a greater diversity of network ties (e.g., relationships with healthcare providers, care managers, and public health agencies). High-performing pharmacies were able to use those ties to support implementation of NC-CPESN. High- and low-performing pharmacies used similar strategies for establishing ties with patients, such as motivational interviewing and assigning staff members to be responsible for engaging high-risk patients. High-performing pharmacies used additional strategies such as assessing patient preferences to support patient engagement, increasing patient receptivity towards enhanced services. Conclusions Community pharmacies may vary in their ability to develop relationships with other healthcare providers, care management and public agencies, and patients. As enhanced services interventions that require care coordination are scaled up and spread, additional research is needed to test implementation strategies that support community pharmacies with developing and maintaining relationships across a diverse group of stakeholders (e.g., healthcare providers, care managers, public health agencies, patients).

BACKGROUND: Systematic identification of patients allows researchers and clinicians to test new models of care delivery. EHR phenotypes—structured algorithms based on clinical indicators from EHRs—can aid in such identification. OBJECTIVE: To develop EHR phenotypes to identify decedents with stage 4 solid-tumor cancer or stage 4–5 chronic kidney disease (CKD). DESIGN: We developed two EHR phenotypes. Each phenotype included International Classification of Diseases (ICD)-9 and ICD-10 codes. We used natural language processing (NLP) to further specify stage 4 cancer, and lab values for CKD. SUBJECTS: Decedents with cancer or CKD who had been admitted to an academic medical center in the last 6 months of life and died August 26, 2017–December 31, 2017. MAIN MEASURE: We calculated positive predictive values (PPV), false discovery rates (FDR), false negative rates (FNR), and sensitivity. Phenotypes were validated by a comparison with manual chart review. We also compared the EHR phenotype results to those admitted to the oncology and nephrology inpatient services. KEY RESULTS: The EHR phenotypes identified 271 decedents with cancer, of whom 186 had stage 4 disease; of 192 decedents with CKD, 89 had stage 4–5 disease. The EHR phenotype for stage 4 cancer had a PPV of 68.6%, FDR of 31.4%, FNR of 0.5%, and 99.5% sensitivity. The EHR phenotype for stage 4–5 CKD had a PPV of 46.4%, FDR of 53.7%, FNR of 0.0%, and 100% sensitivity. CONCLUSIONS: EHR phenotypes efficiently identified patients who died with late-stage cancer or CKD. Future EHR phenotypes can prioritize specificity over sensitivity, and incorporate stratification of high- and low-palliative care need. EHR phenotypes are a promising method for identifying patients for research and clinical purposes, including equitable distribution of specialty palliative care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11606-019-05219-9) contains supplementary material, which is available to authorized users.

Background: Telestroke services allow under-resourced hospitals to gain access to stroke specialists to improve the timeliness and quality of stroke care. However, limited research is available on how telestroke networks are developed, implemented, and sustained. Understanding the process of telestroke network implementation is critical for developing implementation guidance and for evaluating determinants of implementation effectiveness. Objective: This study examines the adoption decision process and strategies employed during telestroke network development, implementation, and sustainability. Research Design: We interviewed representatives from five telestroke networks in North Carolina. Each network consisted of a distant site from which stroke consultation was provided and multiple originating sites at which the patient presented. Subjects: The sample included 24 telestroke representatives (i.e., 5 network representatives and 19 hospital representatives) and 4 hospital representatives who do not participate in telestroke (i.e., nonadopters). Measures: The qualitative measures used in this study were based on Roger's stages of the innovation process in organizations. Stages included agenda setting and matching (pre-implementation), restructuring, redefining, and clarifying (implementation), and routinizing (sustainability). Results: Distant and originating sites employed various strategies in the pre-implementation, implementation, and sustainability stages. Although there are many commonalities across networks, there are also important differences, for example in terms of network structure, quality monitoring, and performance feedback. Some nonadopter hospitals reported difficulty accessing information about telestroke, suggesting that some hospitals are not reached by telestroke network marketing efforts. Conclusions: Identifying and/or tailoring strategies to support the needs of hospitals in different telestroke network models should be a priority for future research.

Background Health systems are increasingly using standardized social needs screening and response protocols including the Protocol for Responding to and Assessing Patients’ Risks, Assets, and Experiences (PRAPARE) to improve population health and equity; despite established relationships between the social determinants of health and health outcomes, little is known about the associations between standardized social needs assessment information and patients’ clinical condition. Methods In this cross-sectional study, we examined the relationship between social needs screening assessment data and measures of cardiometabolic clinical health from electronic health records data using two modelling approaches: a backward stepwise logistic regression and a least absolute selection and shrinkage operation (LASSO) logistic regression. Primary outcomes were dichotomized cardiometabolic measures related to obesity, hypertension, and atherosclerotic cardiovascular disease (ASCVD) 10-year risk. Nested models were built to evaluate the utility of social needs assessment data from PRAPARE for risk prediction, stratification, and population health management. Results Social needs related to lack of housing, unemployment, stress, access to medicine or health care, and inability to afford phone service were consistently associated with cardiometabolic risk across models. Model fit, as measured by the c-statistic, was poor for predicting obesity (logistic = 0.586; LASSO = 0.587), moderate for stage 1 hypertension (logistic = 0.703; LASSO = 0.688), and high for borderline ASCVD risk (logistic = 0.954; LASSO = 0.950). Conclusions Associations between social needs assessment data and clinical outcomes vary by cardiometabolic condition. Social needs assessment data may be useful for prospectively identifying patients at heightened cardiometabolic risk; however, there are limits to the utility of social needs data for improving predictive performance.

BACKGROUND Electronic visits (e-visits) involve asynchronous communication between clinicians and patients through a secure web-based platform, such as a patient portal, to elicit symptoms and determine a diagnosis and treatment plan. E-visits are now reimbursable through Medicare due to the COVID-19 pandemic. The state of evidence regarding e-visits, such as the impact on clinical outcomes and health care delivery, is unclear. OBJECTIVE To address this gap, we examine how e-visits have impacted clinical outcomes and health care quality, access, utilization, and costs. METHODS We conducted a systematic review; MEDLINE, Embase, and Web of Science were searched from January 2000 through October 2020 for peer-reviewed studies that assessed e-visits’ impacts on clinical and health care delivery outcomes. RESULTS Out of 1859 papers, 19 met the inclusion criteria. E-visit usage was associated with improved or comparable clinical outcomes, especially for chronic disease management (eg, diabetes care, blood pressure management). The impact on quality of care varied across conditions. Quality of care was equivalent or better for chronic conditions, but variable quality was observed in infection management (eg, appropriate antibiotic prescribing). Similarly, the impact on health care utilization varied across conditions (eg, lower utilization for dermatology but mixed impact in primary care). Health care costs were lower for e-visits than those for in-person visits for a wide range of conditions (eg, dermatology and acute visits). No studies examined the impact of e-visits on health care access. It is difficult to draw firm conclusions about effectiveness or impact on care delivery from the studies that were included because many used observational designs. CONCLUSIONS Overall, the evidence suggests e-visits may provide clinical outcomes that are comparable to those provided by in-person care and reduce health care costs for certain health care conditions. At the same time, there is mixed evidence on health care quality, especially regarding infection management (eg, sinusitis, urinary tract infections, conjunctivitis). Further studies are needed to test implementation strategies that might improve delivery (eg, clinical decision support for antibiotic prescribing) and to assess which conditions can be managed via e-visits.

Background: The importance of having a champion to promote implementation efforts has been discussed in the literature for more than five decades. However, the empirical literature on champions remains underdeveloped. As a result, health organizations commonly use champions in their implementation efforts without the benefit of evidence to guide decisions about how to identify, prepare, and evaluate their champions. The goal of this article is to present a model of champion impact that draws upon previous literature and is intended to inform future research on champions and serve as a guide for practitioners serving in a champion role. Methods: The proposed model is informed by existing literature, both conceptual and empirical. Prior studies and reviews of the literature have faced challenges in terms of operationalizing and reporting on champion characteristics, activities, and impacts. The proposed model addresses this challenge by delineating these constructs, which allows for consolidation of factors previously discussed about champions as well as new hypothesized relationships between constructs. Results: The model proposes that a combination of champion commitment and champion experience and self-efficacy influence champion performance, which influences peer engagement with the champion, which ultimately influences the champion’s impact. Two additional constructs have indirect effects on champion impact. Champion beliefs about the innovation and organizational support for the champion affect champion commitment. Conclusion: The proposed model is intended to support prospective studies of champions by hypothesizing relationships between constructs identified in the champion literature, specifically relationships between modifiable factors that influence a champion’s potential impact. Over time, the model should be modified, as appropriate, based on new findings from champion-related research., Plain language summary An innovation champion is an individual who works within an organization and who dedicates themselves to promoting a change within the organization, such as implementing a new intervention or a new quality improvement effort. Health organizations commonly rely on innovation champions, and existing literature on champions suggests they are important for successful organizational change. However, many questions remain about what effective champions do and what types of support they need to perform their champion role well. The goal of this article is to present a model of champion impact that draws upon previous literature and is intended to serve as a guide for future research on champions. In doing so, the model could support coordinated research efforts that answer questions about the characteristics, activities, and impacts of champions. Ultimately, this research could lead to development of useful guidance and tools for health system leaders to support champions within their organizations.

PURPOSE. Social determinants of health, including food insecurity, housing instability, social isolation, and unemployment are important drivers of health outcomes and utilization. To inform implementation of social needs screening and response protocols, there is a need to identify the associated costs in routine primary care encounters. METHODS. We interviewed key stakeholders in four diverse community health centers that had adopted a widely used social needs screening and response protocol. We evaluated costs using an activity-based costing tool across both the initial implementation phase and ongoing maintenance phase. RESULTS. Clinic costs were associated with workforce development, planning, and electronic health record integration. These initial implementation costs varied by site ($6,644–$ 49,087). On a per-patient basis, ongoing maintenance costs ranged from $9.76 to $47.98. CONCLUSION. Our findings can aid in designing reimbursement mechanisms tied to social needs screening and response to accelerate translational efforts and promote health equity.

Background Past studies examining barriers to patient portal adoption have been conducted with a small number of patients and health care settings, limiting generalizability. Objective This study had the following two objectives: (1) to assess the prevalence of barriers to patient portal adoption among nonadopters and (2) to examine the association between nonadopter characteristics and reported barriers in a nationally representative sample. Methods Data from this study were obtained from the 2019 Health Information National Trends Survey. We calculated descriptive statistics to determine the most prevalent barriers and conducted multiple variable logistic regression analysis to examine which characteristics were associated with the reported barriers. Results The sample included 4815 individuals. Among these, 2828 individuals (58.73%) had not adopted a patient portal. Among the nonadopters (n=2828), the most prevalent barriers were patient preference for in-person communication (1810/2828, 64.00%), no perceived need for the patient portal (1385/2828, 48.97%), and lack of comfort and experience with computers (735/2828, 25.99%). Less commonly, individuals reported having no patient portal (650/2828, 22.98%), no internet access (650/2828, 22.98%), privacy concerns (594/2828, 21.00%), difficulty logging on (537/2828, 18.99%), and multiple patient portals (255/2828, 9.02%) as barriers. Men had significantly lower odds of indicating a preference for speaking directly to a provider compared with women (odds ratio [OR] 0.75, 95% CI 0.60-0.94; P=.01). Older age (OR 1.01, 95% CI 1.00-1.02; P Conclusions The most common barriers to patient portal adoption are preference for in-person communication, not having a need for the patient portal, and feeling uncomfortable with computers, which are barriers that are modifiable and can be intervened upon. Patient characteristics can help predict which patients are most likely to experience certain barriers to patient portal adoption. Further research is needed to tailor implementation approaches based on patients’ needs and preferences.

BACKGROUND Past studies examining barriers to patient portal adoption have been conducted with a small number of patients and health care settings, limiting generalizability. OBJECTIVE This study had the following two objectives: (1) to assess the prevalence of barriers to patient portal adoption among nonadopters and (2) to examine the association between nonadopter characteristics and reported barriers in a nationally representative sample. METHODS Data from this study were obtained from the 2019 Health Information National Trends Survey. We calculated descriptive statistics to determine the most prevalent barriers and conducted multiple variable logistic regression analysis to examine which characteristics were associated with the reported barriers. RESULTS The sample included 4815 individuals. Among these, 2828 individuals (58.73%) had not adopted a patient portal. Among the nonadopters (n=2828), the most prevalent barriers were patient preference for in-person communication (1810/2828, 64.00%), no perceived need for the patient portal (1385/2828, 48.97%), and lack of comfort and experience with computers (735/2828, 25.99%). Less commonly, individuals reported having no patient portal (650/2828, 22.98%), no internet access (650/2828, 22.98%), privacy concerns (594/2828, 21.00%), difficulty logging on (537/2828, 18.99%), and multiple patient portals (255/2828, 9.02%) as barriers. Men had significantly lower odds of indicating a preference for speaking directly to a provider compared with women (odds ratio [OR] 0.75, 95% CI 0.60-0.94; P=.01). Older age (OR 1.01, 95% CI 1.00-1.02; PPP=.01) were positively associated with indicating a preference for speaking directly to a provider. Hispanic individuals had significantly higher odds of indicating that they had no need for a patient portal (OR 1.59, 95% CI 1.24-2.05; PPPP CONCLUSIONS The most common barriers to patient portal adoption are preference for in-person communication, not having a need for the patient portal, and feeling uncomfortable with computers, which are barriers that are modifiable and can be intervened upon. Patient characteristics can help predict which patients are most likely to experience certain barriers to patient portal adoption. Further research is needed to tailor implementation approaches based on patients’ needs and preferences.

Background Asthma is a difficult-to-manage chronic disease marked with associated outcome disparities including an increase rate of emergency department (ED) visits for uncontrolled asthma among patients who are most at-risk. Shared decision making (SDM) is a process by which the patient and provider jointly make a healthcare choice. SDM improves patient outcomes; however, implementation barriers of time constraints and staff availability are limitations. The use of health IT solutions may increase the adoption of SDM, but best practices for implementation are not well understood. The Consolidated Framework for Implementation Research (CFIR) is a flexible comprehensive model used to identify barriers and facilitators influencing implementation. The goal of this study is to implement an innovative web-based pediatric SDM tool in the real-world setting of two large healthcare system EDs through the following aims: (1) convene a patient, research, and ED stakeholder advisory board to oversee review of protocol and study materials prior to implementation, (2) implement the SDM intervention where providers and staff will be trained to incorporate use of this SDM intervention, (3) conduct on-going evaluation of barriers, facilitators, and implementation outcomes to tailor implementation in the EDs, (4) evaluate patient-centered outcomes of primary care utilization and changes in ED visits and hospitalizations before and after the SDM intervention, and (5) understand and document best practices for ED implementation. Methods The CFIR model will guide the implementation evaluation. Researchers will administer surveys to the clinical team and patients at baseline, 3, 6, and 12 months to inform implementation design, determine barriers and facilitators, and resource-needs to allow for real-time process adjustments within the EDs. Focus group or key-informant interviews and analysis will provide additional feedback to the stakeholder team to iterate the implementation process. Researchers will track patient-centered outcomes including increased primary care, ED, and inpatient utilization over the duration of the study. Discussion To advance asthma care and the field of implementation science, further research is needed to assess best practices for incorporating SDM into high-need healthcare settings such as the ED. This knowledge will facilitate improved outcomes and appropriate policy changes towards further use of SDM interventions in local and national acute care settings.