Assessment of EHR Efficiency Tools and Resources Associated with Physician Time Spent on the Inbox.

BACKGROUND: Physicians are experiencing an increasing burden of messaging within the electronic health record (EHR) inbox. Studies have called for the implementation of tools and resources to mitigate this burden, but few studies have evaluated how these interventions impact time spent on inbox activities. OBJECTIVE: Explore the association between existing EHR efficiency tools and clinical resources on primary care physician (PCP) inbox time. DESIGN: Retrospective, cross-sectional study of inbox time among PCPs in network clinics affiliated with an academic health system. PARTICIPANTS: One hundred fifteen community-based PCPs. MAIN MEASURES: Inbox time, in hours, normalized to eight physician scheduled hours (IB-Time8). KEY RESULTS: Following adjustment for physician sex as well as panel size, age, and morbidity, we observed no significant differences in inbox time for physicians with and without message triage, custom inbox QuickActions, encounter specialists, and message pools. Moreover, IB-Time8 increased by 0.01 inbox hours per eight scheduled hours for each additional staff member resource in a physician's practice (p = 0.03). CONCLUSIONS: Physician inbox time was not associated with existing EHR efficiency tools evaluated in this study. Yet, there may be a slight increase in inbox time among physicians in practices with larger teams.

Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation?

BACKGROUND: Champions of AI-facilitated clinical documentation have suggested that the emergent technology may decrease the administrative loads of physicians, thereby reducing cognitive burden and forestalling burnout. Explorations of physicians' experiences with automated documentation are critical in evaluating these claims. OBJECTIVE: To evaluate physicians' experiences with DAX Copilot (DAXC), a generative AI-facilitated clinical documentation tool. DESIGN: Semi-structured interviews were conducted in August and September of 2023 with physician-users of DAXC. PARTICIPANTS: A purposive sample of 12 interviewees, selected from 116 primary care physicians, employed at a multi-site academic learning health system. APPROACH: After completing all 12 interviews, three study personnel independently analyzed and coded the transcripts. Reconciliation sessions were then held to merge the three analyses into one summary, eliminating redundant codes, and grouping findings into themes. KEY RESULTS: For a majority of interviewees, DAXC reduced the amount of time spent documenting encounters, and alleviated anxieties of having to retain important clinical details until there was time to make notes. DAXC also allowed physicians to be more engaged during appointments, resulting in more personable provider-patient encounters. However, some physicians weighed these benefits against an uneasy feeling that interviewees might be asked to see more patients if DAXC was mandated. Physicians also noted that the tool would occasionally imagine or misgender patients, offer unsolicited and inappropriate diagnoses, and mistake critical details in transcription. The few physicians less enthusiastic about the generative technology portrayed themselves as creatures of habit who had cultivated long-standing workflows and particular notation practices that DAXC could neither improve upon nor reproduce. CONCLUSIONS: According to physician interviewees, automated AI-driven clinical documentation has the potential to significantly reduce the administrative burden associated with particular types of provider-patient encounters. Addressing the growing pains of the incipient technology, identified here, may allow for a broader applicability for clinical practice.

Telephone-Only Visits Preserved Hepatocellular Cancer Screening Rates in Patients with Cirrhosis Early in the COVID-19 Pandemic.

BACKGROUND: The coronavirus 2019 (COVID-19) pandemic required an immediate and large-scale transition to telemedicine. Telemedicine includes phone visits and video visits. Studies suggest that hepatocellular cancer (HCC) screening rates fell at the beginning of the COVID-19 pandemic. If left unaddressed, HCC morbidity/mortality may increase following the pandemic due to inadequate screening. AIMS: To assess the impact of phone-only visits on HCC screening rates in patients with cirrhosis. METHODS: Utilizing ICD-10 codes, 2 cohorts of patients with cirrhosis were identified. The pre-pandemic cohort had index visit between 1/1/2019 and 6/30/2019 (n = 290). The pandemic cohort (n = 112) was evaluated between 4/7/2020 and 6/7/2020. Each cohort was followed for 6 months from their index visit to determine HCC screening rate. Demographics and socioeconomic data from the American Community Survey database were compiled and compared between the cohorts. RESULTS: HCC screening rates in the pre-pandemic and pandemic cohorts were 72.4% and 69.6%, respectively, p = 0.67. No differences in HCC screening rates were observed between the two cohorts when stratified by demographic and socioeconomic factors. CONCLUSIONS: Use of phone-only visits was associated with adherence to HCC screening similar to that seen with in-person visits. The lack of influence on screening rates by racial/socioeconomic factors suggest telephone-only visits do not exacerbate healthcare disparities. In times of public health of crisis, telephone-only visits may provide the necessary access to hepatology care to ensure HCC screening regimens remain in-place for at-risk patients.

Prevalence and clinical associations of mitral and aortic regurgitation in patients with aortic stenosis.

BACKGROUND: Most guidelines directing clinicians to manage valve disease are directed at single valve lesions. Limited data exists to direct our understanding of how concomitant valve disease impacts the left ventricle (LV). METHODS: We identified 2817 patients with aortic stenosis (AS) from the echocardiography laboratory database between September 2012 and June 2018 who had a LV ejection fraction (EF) ≥50%. LV mass, LV mass index, LV systolic pressure (systolic blood pressure + peak aortic gradient). Covariates were collected from the electronic medical record. Multi-variate analysis of covariance was used to generate adjusted comparisons. RESULTS: Our population was 66% female, 17% African-American with a mean age of 65 years. Of note, 7.3% were noted to have significant (moderate/severe) aortic regurgitation (AR), and 11% had significant (moderate/severe) mitral regurgitation (MR). Adjusting for covariates at different levels, significant MR had a much stronger association with heart failure compared to those with significant AR (p < .001 vs. p = .313, respectively) at all levels of adjustment. Both significant mitral and AR exhibited an association with increasing left ventricular mass, even with adjustment for baseline demographics and clinical features (p < .001 vs. p = .007, respectively). CONCLUSION: In patients with AS, 16% also experience at least moderate MR or AR. Further, significant MR has a stronger association with heart failure than significant AR, even though both increase left ventricular mass. Those with moderate AS and significant MR or AR experience similar or higher levels of heart failure compared to severe AS without regurgitation. Mixed valve disease merits further studies to direct longitudinal management.

Evaluation of "Care Plus," A Multidisciplinary Program to Improve Population Health for Patients With High Utilization.

With rising health care costs, health systems have adopted alternative care models targeting high-need, high-cost patients to improve chronic disease management and population health. Intensive primary care teams may reduce health care utilization by tackling medical and psychosocial needs specific to this patient population. This study presents health care utilization trends from a high-intensity primary care program that employs a multidisciplinary team (including clinicians, psychologists, pharmacists, chaplaincy, and community health workers) and community partnerships. Using descriptive statistics and Poisson rates of differences, this study evaluates patient and utilization characteristics of those enrolled (n = 341) versus declined (n = 54) program participation from 2013 to 2020. Both enrolled and declined patients experienced significant reduction in emergency department and inpatient utilization, but differences between enrolled and declined patients were not statistically significant. Programs aimed at decreasing health care utilization for high-need, high-cost, medically complex patients may be best supported by interventions that simultaneously address social and behavioral health needs.

New-onset atrial fibrillation incidence and associated outcomes in the medical intensive care unit.

BACKGROUND: In patients with critical medical illness, data regarding new-onset atrial fibrillation (NOAF) is relatively sparse. This study examines the incidence, associated risk factors, and associated outcomes of NOAF in patients in the medical intensive care unit (MICU). METHODS: This single-center retrospective observational cohort study included 2234 patients with MICU stays in 2018. An automated extraction process using ICD-10 codes, validated by a 196-patient manual chart review, was used for data collection. Demographics, medications, and risk factors were collected. Multiple risk scores were calculated for each patient, and AF recurrence was also manually extracted. Length of stay, mortality, and new stroke were primary recorded outcomes. RESULTS: Two hundred and forty one patients of the 2234 patient cohort (11.4%) developed NOAF during their MICU stay. NOAF was associated with greater length of stay in the MICU (5.84 vs. 3.52 days, p < .001) and in the hospital (15.7 vs. 10.9 days, p < .001). Patients with NOAF had greater odds of hospital mortality (odds ratio (OR) = 1.92, 95% confidence interval (CI) 1.34-2.71, p < .001) and 1-year mortality (OR = 1.37, 95% CI 1.02-1.82, p = .03). CHARGE-AF scores performed best in predicting NOAF (area under the curve (AUC) 0.691, p < .001). CONCLUSIONS: The incidence of NOAF in this MICU cohort was 11.4%, and NOAF was associated with a significant increase in hospital LOS and mortality. Furthermore, the CHARGE-AF score performed best in predicting NOAF.

Holiday Discharges Are Associated with Higher 30-Day General Internal Medicine Hospital Readmissions at an Academic Medical Center.

OBJECTIVE: Academic medical centers face unique challenges in educating physician trainees in effective discharge practices to prevent readmissions. Meanwhile, residents must handle high workloads coupled with frequent rotations to different services. This study aimed to determine whether daily service census, service turnover, time of discharge, and day of discharge increase the risk of 30-day readmission. METHODS: All of the discharges from two academic general internal medicine teaching services between October 1, 2013 and September 30, 2014 were included in this observational data analysis. Variables were fit to a 30-day, all-cause readmission outcome using multiple logistic regression with inverse probability of treatment weighting and multiple imputations with chained equations. The following potential confounding variables were included in the model: health system utilization, demographics, laboratory values, and comorbidities. RESULTS: Among 1935 total discharges, 258 patients (13.3%) were readmitted within 30 days of the index discharge. Turnover, service census, weekend discharge, and time of discharge were not significantly associated with the risk of readmission. Patients discharged during holiday periods had higher odds of readmission (odds ratio 2.56, 95% confidence interval 2.01-3.25), whereas patients discharged on an intern switch day had lower odds of readmission (odds ratio 0.33, 95% confidence interval 0.27-0.41). CONCLUSIONS: Patients who are discharged during holiday periods are at a higher risk of readmission after adjusting for potential confounders. These results also suggest that discharge on an intern switch day had a protective effect on readmission. Further work is needed to examine whether these findings can be replicated, and, if confirmed, to determine to what extent these associations are causal.

Acute kidney injury is common with intravenous abuse of extended-release oral oxymorphone and delayed renal recovery rates are associated with increased KDIGO staging.

AIM: Prescription opioid abuse poses a serious problem in the United States, representing 615 per 100 000 deaths annually. Extended-release oxymorphone (Opana-ER) is an oral opioid pain medication that has recently been found to cause thrombotic microangiopathy when intravenously abused. In this retrospective study, we attempted to determine the prevalence and outcomes of acute kidney injury (AKI) among patients intravenously abusing extended-release oral oxymorphone. METHODS: A query of electronic medical records for 'drug abuse' at an academic medical centre during January 2012 to December 2015 was performed and yielded 2350 patients. Patients were further identified by documented intravenous abuse of extended-release oxymorphone. Patients were stratified based on multiple renal indices and outcomes. Potential confounders were also identified. RESULTS: One hundred and sixty-five patients were found to have a documented history of intravenous abuse of extended-release oral oxymorphone. Prevalence of AKI in this population was a 47.8%. KDIGO stage-I patients consisted of 17.8% of patients with AKI, 40.5% were classified as KDIGO stage-II AKI, and 41.8% were classified as KDIGO stage-III AKI. Among patients with AKI, average age was found to be 37.5 years, 59.4% experienced renal recovery, 56.9% required intensive care unit admission, 13.9% progressed to end-stage renal disease (ESRD), and 7.6% expired during admission. CONCLUSION: Clinicians should be educated to help recognize intravenous abuse of extended-release oral oxymorphone and its associated effects. Our data suggests AKI is common in these patients; higher KDIGO staging appears to be associated with slower rates of renal recovery, increased comorbidities and progression to both CKD and ESRD.

Analysis of Intensive Care Unit Admission and Sequelae in Patients Intravenously Abusing Extended-Release Oral Oxymorphone.

OBJECTIVES: Prescription drug abuse is a major public health problem in the United States, with the rate of opioid-related deaths nearly quadrupling between 2000 and 2014. Extended-release oral oxymorphone hydrochloride (Opana ER) is a long-acting opioid prescribed for chronic pain; however, it also has the potential to be abused via intravenous injection. This retrospective review sought to analyze specific complications and sequelae requiring intensive care unit resources for patients intravenously abusing extended-release oral oxymorphone. METHODS: We retrospectively reviewed the medical records of patients identified for drug abuse between January 2012 and December 2015, identifying patients who intravenously abused extended-release oral oxymorphone. Medical charts were reviewed to identify associated sequelae and patients requiring an intensive care unit level of care. RESULTS: We identified 53 patients who required treatment in an intensive care unit setting as a consequence of intravenously abusing extended-release oral oxymorphone. Twenty-eight patients (52.8%) required endotracheal intubation with mechanical ventilation for either acute hypoxic respiratory failure or protection of airway. Acute kidney injury developed in 48 patients (90.6%); 28.3% of these patients failed to regain renal function and required renal replacement therapy. Bacteremia was diagnosed in 36 patients (67.9%) and 30 patients (56.6%) were diagnosed as having acute infective bacterial endocarditis. CONCLUSIONS: Our patients demonstrated a great need for critical care resources and severe sequelae related to intravenous drug abuse. Clinicians should be vigilant for the possibility for clinical decompensation when initially evaluating patients reporting intravenous abuse of extended-release oral oxymorphone.

Rationale and Design of the Echocardiographic Study of Hispanics/Latinos (ECHO-SOL).

BACKGROUND: Information regarding the prevalence and determinants of cardiac structure and function (systolic and diastolic) among the various Hispanic background groups in the United States is limited. METHODS AND RESULTS: The Echocardiographic Study of Latinos (ECHO-SOL) ancillary study recruited 1,824 participants through a stratified-sampling process representative of the population-based Hispanic Communities Health Study - Study of Latinos (HCHS-SOL) across four sites (Bronx, NY; Chicago, Ill; San Diego, Calif; Miami, Fla). The HCHS-SOL baseline cohort did not include an echo exam. ECHO-SOL added the echocardiographic assessment of cardiac structure and function to an array of existing HCHS-SOL baseline clinical, psychosocial, and socioeconomic data and provides sufficient statistical power for comparisons among the Hispanic subgroups. Standard two-dimensional (2D) echocardiography protocol, including M-mode, spectral, color and tissue Doppler study was performed. The main objectives were to: 1) characterize cardiac structure and function and its determinants among Hispanics and Hispanic subgroups; and 2) determine the contributions of specific psychosocial factors (acculturation and familismo) to cardiac structure and function among Hispanics. CONCLUSION: We describe the design, methods and rationale of currently the largest and most comprehensive study of cardiac structure and function exclusively among US Hispanics. ECHO-SOL aims to enhance our understanding of Hispanic cardiovascular health as well as help untangle the relative importance of Hispanic subgroup heterogeneity and sociocultural factors on cardiac structure and function.

The Future of Community Outreach: Using Patient Portals to Provide Voter Resources during the Coronavirus Disease 2019 Pandemic.

BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic, there was a concern for the 2020 general election becoming a superspreader event due to in-person voting. OBJECTIVES: Our project addressed this concern by disseminating nonpartisan websites detailing safe voter options in the state of North Carolina to prevent community spread of the virus as much as possible. METHODS: In this study, patient portals were used to disseminate a Research Electronic Data Capture survey containing embedded links to voter resources including nonpartisan websites discussing voting options. The survey also asked for demographic data and sentiments regarding the resources provided. Quick response (QR) codes with the survey link were also placed in the clinics during the study period. RESULTS: The survey was sent to 14,842 patients who had at least one patient encounter in the past 12 months at one of three General Internal Medicine clinics at Atrium Health Wake Forest Baptist. Survey participation through both the patient portals and QR codes was assessed. Patient sentiments toward the voter resources in regard to (1) interest and (2) perceived helpfulness were collected in the survey. In total, 738 (4.99%) patients filled out the survey. Eighty-seven percent of survey respondents reported that the voter resources were helpful. Significantly more black patients than white (29.3 vs. 18.2, p < 0.05) voiced interest in voter resources. There was no statistical significance across gender or reported comorbidities. CONCLUSION: Multicultural, underserved, and underinsured patients perceived the most benefit. During public health crises, patient portal messages can be used to bridge information gaps and promote better health outcomes in a timely and effective manner.

Effectiveness and implementation of mPATH™-CRC: a mobile health system for colorectal cancer screening.

BACKGROUND: Screening for colorectal cancer (CRC) is widely recommended but underused, even though CRC is the third most diagnosed cancer and the second leading cause of cancer death in the USA. The mPATH™ program is an iPad-based application designed to identify patients due for CRC screening, educate them on the commonly used screening tests, and help them select their best option, with the goal of increasing CRC screening rates. METHODS: The mPATH™ program consists of questions asked of all adult patients at check-in (mPATH™-CheckIn), as well as a module specific for patients due for CRC screening (mPATH™-CRC). In this study, the mPATH™ program is evaluated through a Type III hybrid implementation-effectiveness design. Specifically, the study consists of three parts: (1) a cluster-randomized controlled trial of primary care clinics comparing a "high touch" evidence-based implementation strategy with a "low touch" implementation strategy; (2) a nested pragmatic study evaluating the effectiveness of mPATH-CRC™ on completion of CRC screening; and (3) a mixed-methods study evaluating factors that facilitate or impede the maintenance of interventions like mPATH-CRC™. The primary objective is to compare the proportion of patients aged 50-74 who are eligible for CRC screening who complete mPATH™-CRC in the 6th month following implementation between the "high touch" and "low touch" implementation strategies. Effectiveness of mPATH™-CRC is evaluated by comparing the proportion who complete CRC screening within 16 weeks of their visit to the clinic between a pre-implementation cohort (8 months before implementation) and a post-implementation cohort (8 months after implementation). DISCUSSION: This study will provide data on both the implementation of the mPATH™ program and its effectiveness in improving screening rates for CRC. In addition, this work has the potential to have an even broader impact by identifying strategies to support the sustained use of other similar technology-based primary care interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT03843957. Registered on 18 February 2019.

Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics.

BACKGROUND: Clinical decision support (CDS) tools in electronic health records (EHRs) are often used as core strategies to support quality improvement programs in the clinical setting. Monitoring the impact (intended and unintended) of these tools is crucial for program evaluation and adaptation. Existing approaches for monitoring typically rely on health care providers' self-reports or direct observation of clinical workflows, which require substantial data collection efforts and are prone to reporting bias. OBJECTIVE: This study aims to develop a novel monitoring method leveraging EHR activity data and demonstrate its use in monitoring the CDS tools implemented by a tobacco cessation program sponsored by the National Cancer Institute's Cancer Center Cessation Initiative (C3I). METHODS: We developed EHR-based metrics to monitor the implementation of two CDS tools: (1) a screening alert reminding clinic staff to complete the smoking assessment and (2) a support alert prompting health care providers to discuss support and treatment options, including referral to a cessation clinic. Using EHR activity data, we measured the completion (encounter-level alert completion rate) and burden (the number of times an alert was fired before completion and time spent handling the alert) of the CDS tools. We report metrics tracked for 12 months post implementation, comparing 7 cancer clinics (2 clinics implemented the screening alert and 5 implemented both alerts) within a C3I center, and identify areas to improve alert design and adoption. RESULTS: The screening alert fired in 5121 encounters during the 12 months post implementation. The encounter-level alert completion rate (clinic staff acknowledged completion of screening in EHR: 0.55; clinic staff completed EHR documentation of screening results: 0.32) remained stable over time but varied considerably across clinics. The support alert fired in 1074 encounters during the 12 months. Providers acted upon (ie, not postponed) the support alert in 87.3% (n=938) of encounters, identified a patient ready to quit in 12% (n=129) of encounters, and ordered a referral to the cessation clinic in 2% (n=22) of encounters. With respect to alert burden, on average, both alerts fired over 2 times (screening alert: 2.7; support alert: 2.1) before completion; time spent postponing the screening alert was similar to completing (52 vs 53 seconds) the alert, and time spent postponing the support alert was more than completing (67 vs 50 seconds) the alert per encounter. These findings inform four areas where the alert design and use can be improved: (1) improving alert adoption and completion through local adaptation, (2) improving support alert efficacy by additional strategies including training in provider-patient communication, (3) improving the accuracy of tracking for alert completion, and (4) balancing alert efficacy with the burden. CONCLUSIONS: EHR activity metrics were able to monitor the success and burden of tobacco cessation alerts, allowing for a more nuanced understanding of potential trade-offs associated with alert implementation. These metrics can be used to guide implementation adaptation and are scalable across diverse settings.

Toward the Deimplementation of Computed Tomography Urogram for Patients With Low- to Intermediate-risk Microscopic Hematuria: A Mixed-method Study of Factors Influencing Continued Use.

INTRODUCTION: Citing high costs, limited diagnostic benefit, and ionizing radiation-associated risk from CT urogram, in 2020 the AUA revised its guidelines from recommending CT urogram for all patients with microscopic hematuria to a deintensified risk-stratified approach, including the deimplementation of low-value CT urogram (ie, not recommending CT urogram for patients with low- to intermediate-risk microscopic hematuria). Adherence to revised guidelines and reasons for continued low-value CT urogram are unknown. METHODS: With the overarching objective of improving guideline implementation, we used a mixed-method convergent explanatory design with electronic health record data for a retrospective cohort at a single academic tertiary medical center in the southeastern United States and semistructured interviews with urology and nonurology providers to describe determinants of low-value CT urogram following guideline revision. RESULTS: Of 391 patients with microscopic hematuria, 198 (51%) had a low-value CT urogram (136 [69%] pre-guideline revision, 62 [31%] postrevision). The odds of ordering a low-value CT urogram were lower after guideline revisions, but the change was not statistically significant (OR: 0.44, P = .08); odds were 1.89 higher (P = .06) among nonurology providers than urology providers, but the difference was not statistically significant. Provider interviews suggested low-value CT urogram related to nonurology providers' limited awareness of revised guidelines, the role of clinical judgment in microscopic hematuria evaluation, and professional and patient influences. CONCLUSIONS: Our findings suggest low-value CT urogram deimplementation may be improved with guidelines and implementation support directed at both urology and nonurology providers and algorithms to support guideline-concordant microscopic hematuria evaluation approaches. Future studies should test these strategies.

Design, Implementation, Utilization, and Sustainability of a Fast Healthcare Interoperability Resources-Based Inpatient Rounding List.

OBJECTIVE: We designed and implemented an application programming interface (API)-based electronic health record (EHR)-integrated rounding list and evaluated acceptability, clinician satisfaction, information accuracy, and efficiency related to the application. METHODS: We developed and integrated an application, employing iterative design techniques with user feedback. EHR and application user action logs, as well as hospital safety reports, were evaluated. Rounding preparation characteristics were obtained through surveys before and after application integration. To evaluate usability, inpatient providers, including residents, fellows, and attendings were surveyed 2 weeks prior to and 6 months after enterprise-wide EHR application integration. Our primary outcome was provider time savings measured by user action logs; secondary outcomes include provider satisfaction. RESULTS: The application was widely adopted by inpatient providers, with more than 69% of all inpatients queried by the application within 6 months of deployment. Application utilization was sustained throughout the study period with 79% (interquartile range [IQR]: 76, 82) of enterprise-wide unique patients accessed per weekday. EHR action logs showed application users spent -3.24 minutes per day (95% confidence interval [CI]: -6.8, 0.33), p = 0.07 within the EHR compared with nonusers. Median self-reported chart review time for attendings decreased from 30 minutes (IQR: 15, 60) to 20 minutes (IQR: 10, 45) after application integration (p = 0.04). Self-reported sign-out preparation time decreased by a median of 5 minutes (p < 0.01), and providers were better prepared for hand-offs (p = 0.02). There were no increased safety reports during the study period. CONCLUSION: This study demonstrates successful integration of a rounding application within a commercial EHR using APIs. We demonstrate increasing both provider-reported satisfaction and time savings. Rounding lists provided more accurate and timely information for rounds. Application usage was sustained across multiple specialties at 42 months. Other application designers should consider data density, optimization of provider workflows, and using real-time data transfer using novel tools when designing an application.

Real-World Efficacy of the Hybrid Closed-Loop System.

BACKGROUND: Hybrid closed-loop (HCL) insulin pump therapy (Medtronic 670G) is an emerging technology that is growing in use worldwide. Initial clinical trials demonstrated the effectiveness of HCL in reducing hypoglycemia and improving glucose control; however, these subjects were intensely monitored and supervised. There has been concern regarding the ability of patients to remain in auto mode. We aimed to assess HCL when used in a typical outpatient endocrine clinic. METHODS: We initially analyzed data from 80 individuals with type 1 diabetes managed in an endocrine clinic by a single certified diabetes educator (CDE). We then included our other providers and had 230 subjects by the end of the study. Patients were either transitioned from traditional insulin pump or multiple daily insulin injection therapy (MDI) to HCL. Patients initiated to HCL pump therapy from July 2017 through February 2020 were studied. Endpoints of change in time in hypoglycemic/hyperglycemic range and time in target range were analyzed. The primary outcome was a change in percent time in the target range during manual mode compared with auto mode. RESULTS: There was an 18.2% increase in average time in target range when comparing manual mode to auto mode (59.3% vs 70.1%, P < .0001). Average time in hyperglycemic range was significantly reduced by 26.7% (39.0% vs 28.6%, P < .0001) but without increasing average time in hypoglycemic range (1.7% vs 1.3%, P = 0.95). CONCLUSIONS: HCL was effective in reducing hyperglycemia and increasing time in the target range but did not increase hypoglycemia. These data suggest HCL will improve the metrics of glucose control.

Creating learning health systems and the emerging role of biomedical informatics.

INTRODUCTION: The nature of information used in medicine has changed. In the past, we were limited to routine clinical data and published clinical trials. Today, we deal with massive, multiple data streams and easy access to new tests, ideas, and capabilities to process them. Whereas in the past getting information for decision-making was a challenge, now, it is how to analyze, evaluate and prioritize all that is readily available through the multitude of data-collecting devices. Clinicians must become adept with the tools needed to deal with the era of big data, requiring a major change in how we learn to make decisions. Major change is often met with resistance and questions about value. A Learning Health System is an enabler to encourage the development of such tools and demonstrate value in improved decision-making. METHODS: We describe how we are developing a Biomedical Informatics program to help our medical institution's evolution as an academic Learning Health System, including strategy, training for house staff and examples of the role of informatics from operations to research. RESULTS: We described an array of learning health system implementations and educational programs to improve healthcare and prepare a cadre of physicians with basic information technology skills. The programs have been well accepted with, for example, increasing interest and enrollment in the educational programs. CONCLUSIONS: We are now in an era when large volumes of a wide variety of data are readily available. The challenge is not so much in the acquisition of data, but in assessing the quality, relevance and value of the data. The data we can get may not be the data we need. In the past, sources of data were limited, and trial results published in journals were the major source of evidence for decision making. The advent of powerful analytics systems has changed the concept of evidence. Clinicians will have to develop the skills necessary to work in the era of big data. It is not reasonable to expect that all clinicians will also be data scientists. However, understanding the role of AI and predictive analytics, and how to apply them, will become progressively more important. Programs such as the one being implemented at Wake Forest fill that need.

Facilitators and Barriers to Implementing a Digital Informed Decision Making Tool in Primary Care: A Qualitative Study.

BACKGROUND: Informed decision aids provide information in the context of the patient's values and improve informed decision making (IDM). To overcome barriers that interfere with IDM, our team developed an innovative iPad-based application (aka "app") to help patients make informed decisions about colorectal cancer screening. The app assesses patients' eligibility for screening, educates them about their options, and empowers them to request a test via the interactive decision aid. OBJECTIVE: The aim of the study is to explore how informed decision aids can be implemented successfully in primary care clinics, including the facilitators and barriers to implementation; strategies for minimizing barriers; adequacy of draft training materials; and any additional support or training desired by clinics. DESIGN: This work deals with a multicenter qualitative study in rural and urban settings. PARTICIPANTS: A total of 48 individuals participated including primary care practice managers, clinicians, nurses, and front desk staff. APPROACH: Focus groups and semi-structured interviews, with data analysis were guided by thematic analysis. KEY RESULTS: Salient emergent themes were time, workflow, patient age, literacy, and electronic health record (EHR) integration. Saving time was important to most participants. Patient flow was a concern for all clinic staff, and they expressed that any slowdown due to patients using the iPad module or perceived additional work to clinic staff would make staff less motivated to use the program. Participants voiced concern about older patients being unwilling or unable to utilize the iPad and patients with low literacy ability being able to read or comprehend the information. CONCLUSION: Integrating new IDM apps into the current clinic workflow with minimal disruptions would increase the probability of long-term adoption and ultimate sustainability. NIH TRIAL REGISTRY NUMBER: R01CA218416-A1.

Exploring the consequences of food insecurity and harnessing the power of peer navigation and mHealth to reduce food insecurity and cardiometabolic comorbidities among persons with HIV: protocol for development and implementation trial of weCare/Secure.

BACKGROUND: Food insecurity, or the lack of consistent access to nutritionally adequate and safe foods, effects up to 50% of people living with HIV (PWH) in the United States (US). PWH who are food insecure have lower antiretroviral adherence, are less likely to achieve viral suppression, and are at increased risk developing of serious illnesses, including cardiometabolic comorbidities. The objectives of this study are to better understand how food insecurity contributes to the development of cardiometabolic comorbidities among PWH and to test a novel bilingual peer navigation-mHealth intervention (weCare/Secure) designed to reduce these comorbidities in food-insecure PWH with prediabetes or Type 2 diabetes (T2DM). METHODS: In Aim 1, we will recruit a longitudinal cohort of 1800 adult (≥18 years) PWH from our clinic-based population to determine the difference in the prevalence and incidence of cardiometabolic comorbidities between food-secure and food-insecure PWH. Food insecurity screening, indicators of cardiometabolic comorbidities, and other characteristics documented in the electronic health record (EHR) will be collected annually for up to 3 years from this cohort. In Aim 2, we will conduct a randomized controlled trial among a sample of food-insecure PWH who have prediabetes or T2DM to compare changes in insulin sensitivity over 6 months between participants in weCare/Secure and participants receiving usual care. In Aim 3, we will conduct semi-structured individual in-depth interviews to explore the effect of the intervention among intervention participants with varying insulin sensitivity outcomes. TRIAL STATUS: Aim 1 (longitudinal cohort) recruitment began in May 2022 and is ongoing. Aim 2 (intervention) recruitment is planned for spring 2023 and is expected to be completed in spring 2024. Aim 3 (process evaluation) data collection will occur after sufficient completion of the 6-month assessment in Aim 2. Final results are anticipated in fall 2025. CONCLUSIONS: This research seeks to advance our understanding of how food insecurity impacts the development of cardiometabolic comorbidities among PWH and how food insecurity interventions may alleviate relevant comorbidities. Given the growing interest among health systems in addressing food insecurity, if the intervention is found to be efficacious, it could be broadly disseminated across HIV clinical care settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT04943861 . Registered on June 29, 2021.

Effectiveness of a Nurse-Led Multidisciplinary Intervention vs Usual Care on Advance Care Planning for Vulnerable Older Adults in an Accountable Care Organization: A Randomized Clinical Trial.

Importance: Advance care planning (ACP), especially among vulnerable older adults, remains underused in primary care. Additionally, many ACP initiatives fail to integrate directly into the electronic health record (EHR), resulting in infrequent and disorganized documentation. Objective: To determine whether a nurse navigator-led ACP pathway combined with a health care professional-facing EHR interface improves the occurrence of ACP discussions and their documentation within the EHR. Design, Setting, and Participants: This was a randomized effectiveness trial using the Zelen design, in which patients are randomized prior to informed consent, with only those randomized to the intervention subsequently approached to provide informed consent. Randomization began November 1, 2018, and follow-up concluded November 1, 2019. The study population included patients 65 years or older with multimorbidity combined with either cognitive or physical impairments, and/or frailty, assessed from 8 primary care practices in North Carolina. Interventions: Participants were randomized to either a nurse navigator-led ACP pathway (n = 379) or usual care (n = 380). Main Outcomes and Measures: The primary outcome was documentation of a new ACP discussion within the EHR. Secondary outcomes included the usage of ACP billing codes, designation of a surrogate decision maker, and ACP legal form documentation. Exploratory outcomes included incident health care use. Results: Among 759 randomized patients (mean age 77.7 years, 455 women [59.9%]), the nurse navigator-led ACP pathway resulted in a higher rate of ACP documentation (42.2% vs 3.7%, P < .001) as compared with usual care. The ACP billing codes were used more frequently for patients randomized to the nurse navigator-led ACP pathway (25.3% vs 1.3%, P < .001). Patients randomized to the nurse navigator-led ACP pathway more frequently designated a surrogate decision maker (64% vs 35%, P < .001) and completed ACP legal forms (24.3% vs 10.0%, P < .001). During follow-up, the incidence of emergency department visits and inpatient hospitalizations was similar between the randomized groups (hazard ratio, 1.17; 95% CI, 0.92-1.50). Conclusions and Relevance: A nurse navigator-led ACP pathway integrated with a health care professional-facing EHR interface increased the frequency of ACP discussions and their documentation. Additional research will be required to evaluate whether increased EHR documentation leads to improvements in goal-concordant care. Trial Registration: ClinicalTrials.gov Identifier: NCT03609658.