Telehealth Use by Pregnancy Stage Among Commercially Insured Patients in the United States, 2016-2019.

Introduction: Relatively little is known about the proportion of maternal health services utilized through telehealth and whether rural-urban disparities in telehealth use exist throughout antenatal, delivery, and postpartum phases of maternal services. In this study, we describe patterns of care, including telehealth utilization, by rurality and racial/ethnic composition of the health service area during the antenatal, labor/delivery, and postpartum stages of pregnancy among commercially insured patients between 2016 and 2019. Methods: We present univariate and comparative descriptive statistics of patient and facility characteristics and site of care by the degree of rurality and racial/ethnic composition of the health service area (defined as geozips). The individual-level utilization data for 238,695 patients were aggregated to the geo-zip level (n = 404). Results: Between 2016 and 2019, 3.5% of pregnancy, delivery, and postpartum-related visits among commercially insured patients were delivered through telehealth. Telehealth use was higher in the antenatal (3.5% of claim lines) and postpartum (4.1% of claim lines) periods, compared with labor and delivery (0.7% of claim lines). We also found that the proportion of telehealth services (of total services billed) increased with the share of Black and Latinx residents at the geozip level. Discussion: Our findings highlight disparities in telehealth use, consistent with findings from studies using different data sources and time periods. Future research is needed to examine whether the relative differences in proportion of telehealth services, even if small, are associated with telehealth capacity in the hospital or community and why the proportion of telehealth services differs across community-level characteristics, specifically rurality and proportion of Black and Latinx residents.

Analysis of shared cognitive tasks in the application of non-invasive ventilation to patients with COPD exacerbation.

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 (n = 21) that elicited cognitions needed to treat COPD exacerbation. Three shared cognitive tasks were identified: Complete a thorough assessment, Formulate a care plan, and Continuously monitor patient status. Findings attest to the importance of having access to up-to-date information and expertise necessary to make accurate clinical inferences for patient assessment. Shared understanding of the formulated care plan among all members of the care team was important to its execution. Continuous monitoring was crucial; however, this cognitive task relied on patient assessment skills and ongoing collaboration within the clinical care team. Application of NIV for patients with COPD exacerbation may require enhancing collaboration through nontechnical skills and interprofessional training.

Telestroke Infrastructure, Processes, and Support Needs: A Survey of Hospitals in Five States.

Introduction: Telestroke has been shown to be a cost-effective approach to promoting use and timeliness of evidence-based treatment. However, adoption of telestroke has been relatively low. Several barriers to telestroke implementation have been previously identified in the literature. These barriers, and the strategies needed to overcome them, may vary across hospitals. Our study aimed to examine telestroke programs to identify opportunities for future research and efforts to promote effective implementation and sustainment of telestroke services. Methods: We surveyed hospitals in five states to capture information about the current status of the hospital's telestroke program; the model(s) of delivery being used (e.g., hub-and-spoke and third-party vendor); and telestroke infrastructure, processes, and implementation strategies. The survey included both closed-ended and open-ended response options. Descriptive results are presented, complemented with illustrative examples of open-ended responses. Results: We received 89 responses, each representing a different hospital. Approximately one-third of telestroke programs in our sample began between 2018 and 2020. More than two-thirds reported participating in a collaboration with other organizations to improve telestroke services. The most commonly reported, high-priority topics for additional guidance involved monitoring process measures, using performance indicators for improvement, and sharing data from measures with physicians. Discussion: Results complement prior studies, specifically about impacts of COVID-19 on telestroke programs and capabilities that hospitals most need assistance with. Challenges faced and guidance needed differ across hospitals, suggesting a need for a tailored support. The results also suggest more work is needed to understand factors that threaten sustainability of telestroke programs.

Association of Financial Factors and Telemedicine Adoption for Heart Attack and Stroke Care Among Rural and Urban Hospitals: A Longitudinal Study.

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.

Strengthening methods for tracking adaptations and modifications to implementation strategies.

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).

Evaluating the association of social needs assessment data with cardiometabolic health status in a federally qualified community health center patient population.

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.

Radiation safety education and diagnostic imaging in pediatric patients with surgically treated hydrocephalus: the patient and family perspective.

PURPOSE: 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. METHODS: 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. RESULTS: 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 < 0.01). All participants (N = 34) uniformly desired risk/benefit discussions before CT scans. However, 71% stated that they were not informed of risks/benefits of CT scans by a medical professional. Following the session, the number of participants indicating that informed consent should be obtained before CT scans increased from 30 to 33. Respondents also revealed that 14% of children and young adults had received > 100 CT scans for shunt evaluation with the median being 25 scans (IQR 20). CONCLUSIONS: 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.

Implementation of social needs screening in primary care: a qualitative study using the health equity implementation framework.

BACKGROUND: Screening in primary care for unmet individual social needs (e.g., housing instability, food insecurity, unemployment, social isolation) is critical to addressing their deleterious effects on patients' health outcomes. To our knowledge, this is the first study to apply an implementation science framework to identify implementation factors and best practices for social needs screening and response. METHODS: Guided by the Health Equity Implementation Framework (HEIF), we collected qualitative data from clinicians 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 who received the PRAPARE as a standard of care were invited to participate in semi-structured interviews. We also obtained front-line clinician perspectives in a semi-structured focus group. HEIF domains informed a directed content analysis. RESULTS: Patients and clinicians (i.e., case managers) reported implementation barriers and facilitators across multiple domains (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 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.

Impact of Asynchronous Electronic Communication-Based Visits on Clinical Outcomes and Health Care Delivery: Systematic Review.

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.

Barriers and perceived usefulness of an ECHO intervention for office-based buprenorphine treatment for opioid use disorder in North Carolina: A qualitative study.

BACKGROUND: Medication treatment for opioid use disorder (M-OUD) is underutilized, despite research demonstrating its effectiveness in treating opioid use disorder (OUD). The UNC Extension for Community Healthcare Outcomes for Rural Primary Care Medication Assisted Treatment (UNC ECHO for MAT) project was designed to evaluate interventions for reducing barriers to delivery of M-OUD by rural primary care providers in North Carolina. A key element was tele-conferenced sessions based on the University of New Mexico Project ECHO model, comprised of case discussions and didactic presentations using a "hub and spoke" model, with expert team members at the hub site and community-based providers participating from their offices (i.e., spoke sites). Although federal funders have promoted use of the model, barriers for providers to participate in ECHO sessions are not well documented. Methods: UNC ECHO for MAT included ECHO sessions, provider-to-provider consultations, and practice coaching. We conducted 20 semi-structured interviews to assess perceived usefulness of the UNC ECHO for MAT intervention, barriers to participation in the intervention, and persistent barriers to prescribing M-OUD. Results: Participants were generally satisfied with ECHO sessions and provider-to-provider consultations; however, perceived value of practice support was less clear. Primary barriers to participating in ECHO sessions were timing and length of sessions. Participants recommended recording ECHO sessions for viewing later, and some thought incentives for either the practice or provider could facilitate participation. Providers who had participated in ECHO sessions valued the expertise on the expert team; the team's ability to develop a supportive, collegial environment; and the value of a community of providers interested in learning from each other, particularly through case discussions. Conclusions: Despite the perceived value of ECHO, barriers may prevent consistent participation. Also, barriers to M-OUD delivery remain, including some that ECHO alone cannot address, such as Medicaid and private-insurer policies and availability of psychosocial resources.

Elements of Palliative Care in the Last 6 Months of Life: Frequency, Predictors, and Timing.

IMPORTANCE: Persons living with serious illness often need skilled symptom management, communication, and spiritual support. Palliative care addresses these needs and may be delivered by either specialists or clinicians trained in other fields. It is important to understand core elements of palliative care to best provide patient-centered care. OBJECTIVE: To describe frequency, predictors, and timing of core elements of palliative care during the last 6 months of life. DESIGN: Retrospective chart review. SETTING: Inpatient academic medical center. PARTICIPANTS: Decedents with cancer, dementia, or chronic kidney disease (CKD) admitted during the 6 months preceding death. EXPOSURES: We identified receipt and timing of core elements of palliative care: pain and symptom management, goals of care, spiritual care; and specialty palliative care utilization; hospital encounters; demographics; and comorbid diagnoses. We ran Poisson regression models to assess whether diagnosis or hospital encounters were associated with core elements of palliative care. RESULTS: Among 402 decedents, the mean (SD) number of appropriately screened and treated symptoms was 2.9 (1.7)/10. Among 76.1% with documented goals of care, 58.0% had a primary goal of comfort; 55.0% had documented spiritual care. In multivariable models, compared with decedents with cancer, those with dementia or CKD were less likely to have pain and symptom management (respectively, 31% (incidence rate ratio [IRR], 0.69; 95% CI, 0.56-0.85) and 17% (IRR, 0.83; CI, 0.71-0.97)). There was a median of 3 days (IQR, 0-173) between transition to a goal of comfort and death, and a median of 12 days (IQR, 5-47) between hospice referral and death. CONCLUSIONS AND RELEVANCE: Although a high proportion of patients received elements of palliative care, transitions to a goal of comfort or hospice happened very near death. Palliative care delivery can be improved by systematizing existing mechanisms, including prompts for earlier goals-of-care discussion, symptom screening, and spiritual care, and by building collaboration between primary and specialty palliative care services.

Patient Portal Barriers and Group Differences: Cross-Sectional National Survey Study.

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<.001), having a chronic condition (OR 1.83, 95% CI 1.44-2.33; P<.001), and having an income lower than US $20,000 (OR 1.61, 95% CI 1.11-2.34; P=.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; P<.001) compared with non-Hispanic individuals. Older individuals (OR 1.05, 95% CI 1.04-1.06; P<.001), individuals with less than a high school diploma (OR 3.15, 95% CI 1.79-5.53; P<.001), and individuals with a household income of less than US $20,000 (OR 2.78, 95% CI 1.88-4.11; P<.001) had significantly higher odds of indicating that they were uncomfortable with a computer. 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.

Electronic Health Record Phenotypes for Identifying Patients with Late-Stage Disease: a Method for Research and Clinical Application.

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.

Implementation process for comprehensive medication review in the community pharmacy setting.

OBJECTIVES: To (1) describe the implementation process for comprehensive medication reviews (CMRs) among community pharmacies (e.g., processes for prioritizing patients, staffing, and information collection) and (2) examine factors associated with community pharmacies' CMR information collection process. METHODS: A survey was administered to the pharmacist responsible for implementation of CMRs (i.e., the lead pharmacist) in the community pharmacy (n = 87). The survey included questions about pharmacy characteristics, satisfaction with the NC community pharmacy enhanced services network (NC-CPESN) program, and implementation of CMRs. Frequencies and means were calculated to describe the sample characteristics and pharmacies' CMR implementation process. A multiple linear regression was conducted to examine which characteristics were associated with the CMR information collection process. RESULTS: The majority of pharmacies in the sample were either independently owned single stores (46.5%) or multiple stores under the same independent ownership (41.6%). Most pharmacies used pharmacists (97.7%) or pharmacy technicians (65.5%) for patient outreach for CMRs. A small percentage of pharmacies used administrative staff to conduct patient outreach for CMRs (9.2%). Information for prescription medications (89.5%), indication (80%), and medication adherence (81.1%) was routinely collected. Information such as date of last dose for prescription medications (48.4%) and lifestyle factors, such as physical activity (21.1%), diet (29.5%), and alcohol (31.6%), was collected less routinely. Having a clinical pharmacist (P = 0.025) and pharmacist overlap hours (P = 0.009) significantly improved the CMR information collection process. CONCLUSION: Although CMRs are important interventions for improving patient outcomes, more guidance is needed on how to effectively implement them. This would allow the process to be efficient and assure implementation with fidelity across all community pharmacies. In addition, staffing appears to influence the quality of CMR information collection. Future research is warranted on CMR implementation to develop efficient staffing models and standardize the process of information collection.

Implementation Strategies for Telestroke: A Qualitative Study of Telestroke Networks in North Carolina.

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.

Characteristics and Delivery of Diabetes Shared Medical Appointments in North Carolina.

BACKGROUND Successful diabetes care requires patient engagement and health self-management. Diabetes shared medical appointments (SMAs) are an evidence-based approach that enables peer support, diabetes group education, and medication management to improve outcomes. The purpose of this study is to learn how diabetes SMAs are being delivered in North Carolina, including the characteristics of diabetes SMAs across the state.METHOD Twelve health systems in the state of North Carolina were contacted to explore clinical workflow and intervention characteristics with a member of the SMA care delivery team. Surveys were used to assess intervention characteristics and delivery.RESULTS Diabetes SMAs were offered in 10 clinics in 5 of the 12 health systems contacted with considerable heterogeneity across sites. The majority of SMAs were open cohorts (80%), offered monthly (60%) for 1.5 hours (60%). SMAs included a mean of 7.5 ± 3.4 patients with a maximum of 11.2 ± 2.7 patients. Survey data revealed barriers (cost-sharing and provider buy-in) to, and facilitators (leadership support and clinical champions) of, clinical adoption and sustained implementation.LIMITATIONS External validity is limited due to the small sample size and geographic clustering.CONCLUSION There is significant heterogeneity in the delivery and characteristics of diabetes SMAs in North Carolina with only modest uptake across the health systems. Further research to determine best practices and effectiveness in diverse, real-world clinical settings is required to inform implementation and dissemination efforts.

Implementation of Perioperative Music Using the Consolidated Framework for Implementation Research.

BACKGROUND: Complementary integrative health therapies have a perioperative role in the reduction of pain, analgesic use, and anxiety, and increasing patient satisfaction. However, long implementation lags have been quantified. The Consolidated Framework for Implementation Research (CFIR) can help mitigate this translational problem. METHODS: We reviewed evidence for several nonpharmacological treatments (CFIR domain: characteristics of interventions) and studied external context and organizational readiness for change by surveying providers at 11 Veterans Affairs (VA) hospitals (domains: outer and inner settings). We asked patients about their willingness to receive music and studied the association between this and known risk factors for opioid use (domain: characteristics of individuals). We implemented a protocol for the perioperative use of digital music players loaded with veteran-preferred playlists and evaluated its penetration in a subgroup of patients undergoing joint replacements over a 6-month period (domain: process of implementation). We then extracted data on postoperative recovery time and other outcomes, comparing them with historic and contemporary cohorts. RESULTS: Evidence varied from strong and direct for perioperative music and acupuncture, to modest or weak and indirect for mindfulness, yoga, and tai chi, respectively. Readiness for change surveys completed by 97 perioperative providers showed overall positive scores (mean >0 on a scale from -2 to +2, equivalent to >2.5 on the 5-point Likert scale). Readiness was higher at Durham (+0.47) versus most other VA hospitals (range +0.05 to +0.63). Of 3307 veterans asked about willingness to receive music, approximately 68% (n = 2252) answered "yes." In multivariable analyses, a positive response (acceptability) was independently predicted by younger age and higher mean preoperative pain scores (>4 out of 10 over 90 days before admission), factors associated with opioid overuse. Penetration was modest in the targeted subset (39 received music out of a possible 81 recipients), potentially reduced by device nonavailability due to diffusion into nontargeted populations. Postoperative recovery time was not changed, suggesting smooth integration into workflow. CONCLUSIONS: CFIR-guided implementation of perioperative music was feasible at a tertiary VA hospital, with moderate penetration in a high-risk subset of patients. Use of digital music players with preferred playlists was supported by strong evidence, tension for change, modest readiness among providers, good acceptability among patients (especially those at risk for opioid overuse), and a protocolized approach. Further study is needed to identify similar frameworks for effective knowledge-translation activities.

Providers' preferences for pediatric oral health information in the electronic health record: a cross-sectional survey.

BACKGROUND: The majority of primary care physicians support integration of children's oral health promotion and disease prevention into their practices but can experience challenges integrating oral health services into their workflow. Most electronic health records (EHRs) in primary care settings do not include oral health information for pediatric patients. Therefore, it is important to understand providers' preferences for oral health information within the EHR. The objectives of this study are to assess (1) the relative importance of various elements of pediatric oral health information for primary care providers to have in the EHR and (2) the extent to which practice and provider characteristics are associated with these information preferences. METHODS: We surveyed a sample of primary care physicians who conducted Medicaid well-child visits in North Carolina from August - December 2013. Using descriptive statistics, we analyzed primary care physicians' oral health information preferences relative to their information preferences for traditional preventive aspects of well-child visits. Furthermore, we analyzed associations between oral health information preferences and provider- and practice-level characteristics using an ordinary least squares regression model. RESULTS: Fewer primary care providers reported that pediatric oral health information is "very important," as compared to more traditional elements of primary care information, such as tracking immunizations. However, the majority of respondents reported some elements of oral health information as being very important. Also, we found positive associations between the percentage of well child visits in which oral health screenings and oral health referrals are performed and the reported importance of having pediatric oral health information in the EHR. CONCLUSIONS: Incorporating oral health information into the EHR may be desirable for providers, particularly those who perform oral health screenings and dental referrals.

Telestroke Adoption Among Community Hospitals in North Carolina: A Cross-Sectional Study.

OBJECTIVE: This study identifies community and hospital characteristics associated with adoption of telestroke among acute care hospitals in North Carolina (NC). METHODS: Our sample included 107 hospitals located in NC. Our analytic dataset included variables from the American Hospital Association (AHA) annual survey, AHA Health IT supplement, Healthcare Cost Report Information System, and Centers for Disease Control and Prevention's WONDER online database. We supplemented our secondary sources with data on telestroke adoption and market-level variables developed for NC. We used the Consolidated Framework for Implementation Research and previous telehealth studies to guide selection of variables. We conducted a multivariate logistic regression to determine associations with telestroke adoption. RESULTS: Proportion of discharges that are Medicare (odds ratio [OR] = 1.93, P < .04) and total operating margin (OR = 2.89, P = .00) were positively associated with telestroke adoption. Critical access hospital status was positively associated with telestroke adoption, although not at P < .05 (OR = 5.61, P = .07). Distance to the nearest hospital with a telestroke program (OR = .91, P = .01) and volume of emergency department visits (OR = .98, P < .05) were both negatively associated with telestroke adoption. CONCLUSIONS: Our study is novel in its focus on telestroke adoption and use of variables not included in previous telehealth analyses. Our findings suggest some hospitals have neither the financial resources nor the ability to pool resources for acquiring needed technology, and differences in adoption may result in geographic inequities in access to telestroke services.

Contextual factors that influence quality improvement implementation in primary care: The role of organizations, teams, and individuals.

BACKGROUND: Recent emphasis on value-based health care has highlighted the importance of quality improvement (QI) in primary care settings. QI efforts, which require providers and staff to work in cross-functional teams, may be implemented with varying levels of success, with implementation being affected by factors at the organizational, teamwork, and individual levels. PURPOSE: The purpose of our study was to (a) identify contextual factors (organizational, teamwork, and individual) that affect implementation effectiveness of QI interventions in primary care settings and (b) compare perspectives about these factors across roles (health care administrators, physician and nonphysician clinicians, and administrative staff). METHODS/APPROACH: We conducted semistructured interviews with 24 health care administrators, physician and nonphysician primary care providers, and administrative staff representing 10 primary care practices affiliated with one integrated delivery system. RESULTS: Participants across all roles identified similar organizational- and team-level factors that influence QI implementation including organizational capacity to take on new initiatives (e.g., time availability of physicians), technical capability for QI (e.g., data analysis skills), and team climate (e.g., how well staff work together). There was greater variation in terms of individual-level factors, particularly perceived meaning and purpose of QI. Perceptions about value of QI ranged from positive impacts on patient care and practice competitiveness to decreased efficiency and distractions from patient care, but differences did not appear attributable to role. CONCLUSIONS: Successful QI implementation requires effective collaboration within cross-functional teams. Additional research is needed to assess how best to employ implementation strategies that promote cross-understanding of QI among team members and, ultimately, effective implementation of QI programs. PRACTICE IMPLICATIONS: Health care managers in primary care settings should strive to create a strong teamwork climate, reinforced by opportunities for staff in various roles to discuss QI as a collective.