South Asians face a high prevalence of type II diabetes (DMII) and comorbid hypertension (HTN). Community health worker (CHW) interventions have the potential to improve chronic disease outcomes, yet few have been tailored to South Asian populations in the United States. To test the effectiveness of an evidence-based CHW-led and culturally-tailored HTN and DMII management program for South Asian adults with diabetes and comorbid uncontrolled HTN (systolic blood pressure (SBP) > 130mmHg or diastolic blood pressure (DBP) > 80mmHg). Randomized-controlled Trial. South Asian adults with DMII and comorbid HTN. The Diabetes Research, Education, and Action for Minorities (DREAM) Atlanta intervention was a CHW telehealth intervention designed to improve blood pressure (BP). The treatment group received five virtual group-based health education sessions, an action plan, and follow-up calls to assess goal setting activities. The control group received only the first session. Main Measures included: feasibility, improvement in BP control, and decreases in SBP, DBP, weight, and hemoglobin A1c (HbA1c). A total of 190 South Asian adults were randomized (97 to the treatment group and 93 to the control group); 94% of treatment group participants completed all 5 telehealth sessions. At endpoint, BP control increased 33.7% (95% CI: 22.5, 44.9, p < 0.001) in the treatment group and 16.5% (95%: 6.2, 26.8, p = 0.003) in the control group; the adjusted intervention effect was 1.8 (95% CI: 1.0, 3.2, p = 0.055). Mean weight decreased by 4.8 pounds (95% CI: -8.2, -1.4, p = 0.006) in the treatment group, and the adjusted intervention effect was -5.2 (95% CI: -9.0, -1.4, p = 0.007. The intervention had an overall retention of 95%. A culturally-tailored, CHW-led telehealth intervention is feasible and can improve BP control among South Asian Americans with DMII. NCT04263311.

The gender gap in physician compensation has persisted for decades. Little is known about how differences in use of the electronic health record (EHR) may contribute. To characterize how time on clinical activities, time on the EHR, and clinical productivity vary by physician gender and to identify factors associated with physician productivity. This longitudinal study included general internal medicine physicians employed by a large ambulatory practice network in the Northeastern United States from August 2018 to June 2021. Monthly data on physician work relative value units (wRVUs), physician and practice characteristics, metrics of EHR use and note content, and temporal trend variables. The analysis included 3227 physician-months of data for 108 physicians (44% women). Compared with men physicians, women physicians generated 23.8% fewer wRVUs per month, completed 22.1% fewer visits per month, spent 4.0 more minutes/visit and 8.72 more minutes on the EHR per hour worked (all p < 0.001), and typed or dictated 36.4% more note characters per note (p = 0.006). With multivariable adjustment for physician age, practice characteristics, EHR use, and temporal trends, physician gender was no longer associated with productivity (men 4.20 vs. women 3.88 wRVUs/hour, p = 0.31). Typing/dictating fewer characters per note, relying on greater teamwork to manage orders, and spending less time on documentation were associated with higher wRVUs/hour. The 2021 E/M code change was associated with higher wRVUs/hour for all physicians: 10% higher for men physicians and 18% higher for women physicians (p < 0.001 and p = 0.009, respectively). Increased team support, briefer documentation, and the 2021 E/M code change were associated with higher physician productivity. The E/M code change may have preferentially benefited women physicians by incentivizing time-intensive activities such as medical decision-making, preventive care discussion, and patient counseling that women physicians have historically spent more time performing.

Little is known about the relationship among systemic racism, psychological symptoms (depression, anxiety, and/or post-traumatic stress disorders), and burnout in healthcare workers (HCWs). To determine whether distress related to awareness of systemic racism contributes to psychological symptoms and/or burnout in HCWs. We explored whether this form of racism-related distress may moderate the relationship between race, ethnicity, psychological symptoms, and burnout. A cross-sectional survey was conducted from November 19, 2020, through January 11, 2021. Statistical analysis was conducted from May 3, 2022, to June 15, 2022. Frontline HCWs at an urban tertiary care hospital in New York City. Distress related to awareness of systemic racism (SR) and racial disparities in COVID-19 outcomes (RD), psychological symptoms, and burnout. Two thousand one of 4654 HCWs completed the survey (response rate 43.0%). Most HCWs reported experiencing distress related to awareness of systemic racism (1329 [66.4%]) and to racial disparities in COVID-19 outcomes (1137 [56.8%]). Non-Hispanic Black participants (SR odds ratio (OR) 2.84, p < .001; RD OR 2.34, p < .001), women (SR OR 1.35, p = .01; RD OR 1.67, p < .001), and those with history of mental illness (SR OR 2.13, p < .001; RD OR 1.66, p < .001) were more likely to report SR- and RD-related distress, respectively. HCWs who experienced "quite-a-bit to extreme" SR-related distress were more likely to screen positive for psychological symptoms (OR 5.90, p < .001) and burnout (OR 2.26, p < .001). Our findings suggest that distress related to awareness of systemic racism, not race/ethnicity, was associated with experiencing psychological symptoms and burnout in HCWs. As the medical community continues to critically examine the role of systemic racism in healthcare, our work is a first step in characterizing its toll on the psychological well-being of HCWs.

Lesbian, gay, bisexual, transgender, queer, and other sexual and gender minority (LGBTQ +) individuals experience bias in healthcare with 1 in 6 LGBTQ + adults avoiding healthcare due to anticipated discrimination and overall report poorer health status compared to heterosexual and cisgendered peers. The Society of General Internal Medicine (SGIM) is a leading organization representing academic physicians and recognizes that significant physical and mental health inequities exist among LGBTQ + communities. As such, SGIM sees its role in improving LGBTQ + patient health through structural change, starting at the national policy level all the way to encouraging change in individual provider bias and personal actions. SGIM endorses a series of recommendations for policy priorities, research and data collection standards, and institutional policy changes as well as community engagement and individual practices to reduce bias and improve the well-being and health of LGBTQ + patients.

Gaps in accessibility and communication hinder diabetes care in poor communities. Combining mobile health (mHealth) and community health workers (CHWs) into models to bridge these gaps has great potential but needs evaluation. To evaluate a mHealth-based, Participant-CHW-Clinician feedback loop in a real-world setting. Quasi-experimental feasibility study with intervention and usual care (UC) groups. A total of 134 participants (n = 67/group) who were all low-income, uninsured Hispanics with or at-risk for type 2 diabetes. A 15-month study with a weekly to semimonthly mHealth Participant-CHW-Clinician feedback loop to identify participant issues and provide participants monthly diabetes education via YouTube. We used pre-defined feasibility measures to evaluate our intervention: (a) implementation, the execution of feedback loops to identify and resolve participant issues, and (b) efficacy, intended effects of the program on clinical outcomes (baseline to 15-month HbA1c, systolic blood pressure (SBP), diastolic blood pressure (DBP), and weight changes) for each group and their subgroups (at-risk; with diabetes, including uncontrolled (HbA1c ≥ 7%)). CHWs identified 433 participant issues (mean = 6.5 ± 5.3) and resolved 91.9% of these. Most issues were related to supplies, 26.3% (n = 114); physical health, 23.1% (n = 100); and medication access, 20.8% (n = 90). Intervention participants significantly improved HbA1c (- 0.51%, p = 0.03); UC did not (- 0.10%, p = 0.76). UC DBP worsened (1.91mmHg, p < 0.01). Subgroup analyses revealed HbA1c improvements for uncontrolled diabetes (intervention: - 1.59%, p < 0.01; controlled: - 0.72, p = 0.03). Several variables for UC at-risk participants worsened: HbA1c (0.25%, p < 0.01), SBP (4.05mmHg, p < 0.01), DBP (3.21mmHg, p = 0.01). There were no other significant changes for either group. A novel mHealth-based, Participant-CHW-Clinician feedback loop was associated with improved HbA1c levels and identification and resolution of participant issues. UC individuals had several areas of clinical deterioration, particularly those at-risk for diabetes, which is concerning for progression to diabetes and disease-related complications. NCT03394456, accessed at https://clinicaltrials.gov/ct2/show/NCT03394456.

Adoption of electronic health care records (EHRs) has proliferated since 2000. While EHR transitions are widely understood to be disruptive, little attention has been paid to their effect on health professions trainees' (HPTs) ability to learn and conduct work. Veterans Health Administration's (VA) massive transition from its homegrown EHR (CPRS/Vista) to the commercial Oracle Cerner presents an unparalleled-in-scope opportunity to gain insight on trainee work functions and their ability to obtain requisite experience during transitions. To identify how an organizational EHR transition affected HPT work and learning at the third VA go-live site. A formative mixed-method evaluation of HPT experiences with VHA's EHR transition including interviews with HPTs and supervisors at Chalmers P. Wylie VA Outpatient Clinic in Columbus, OH, before (~60 min), during (15-30 min), and after (~60 min) go-live (December 2021-July 2022). We also conducted pre- (March 2022-April 2022) and post-go live (May 2022-June 2022) HPT and employee surveys. We conducted 24 interviews with HPTs (n=4), site leaders (n=2), and academic affiliates (n=2) using snowball sampling. We recruited HPTs in pre- (n=13) and post-go-live (n=10) surveys and employees in pre- (n=408) and post-go-live (n=458) surveys. We conducted interviews using a semi-structured guide and grounded prompts. We coded interviews and survey free text data using a priori and emergent codes, subsequently conducting thematic analysis. We conducted descriptive statistical analysis of survey responses and merged interview and survey data streams. Our preliminary findings indicate that the EHR transition comprehensively affected HPT experiences, disrupting processes from onboarding and training to clinical care contributions and training-to-career retention. Understanding HPTs' challenges during EHR transitions is critical to effective training. Mitigating the identified barriers to HPT training and providing patient care may lessen their dissatisfaction and ensure quality patient care during EHR transitions.

Electronic health record (EHR) transitions are increasingly widespread and often highly disruptive. It is imperative we learn from past experiences to anticipate and mitigate such disruptions. Veterans Affairs (VA) is undergoing a large-scale transition from its homegrown EHR (CPRS/Vista) to a commercial EHR (Cerner), creating a unique opportunity of shedding light on large-scale EHR-to-EHR transition challenges. To explore one facet of the organizational impact of VA's EHR transition: its implications for employees' roles and responsibilities at the first VA site to implement Cerner Millennium EHR. As part of a formative evaluation of frontline staff experiences with VA's EHR transition, we conducted brief (~ 15min) and full-length interviews (~ 60min) with clinicians and staff at Mann-Grandstaff VA Medical Center in Spokane, WA, before, during, and after transition (July 2020-November 2021). We conducted 111 interviews with 26 Spokane clinicians and staff, recruited via snowball sampling. We conducted audio interviews using a semi-structured guide with grounded prompts. We coded interview transcripts using a priori and emergent codes, followed by qualitative content analysis. Unlike VA's previous EHR, Cerner imposes additional restrictions on access to its EHR functionality based upon "roles" assigned to users. Participants described a mismatch between established institutional duties and their EHR permissions, unanticipated changes in scope of duties brought upon by the transition, as well as impediments to communication and collaboration due to different role-based views. Health systems should anticipate substantive impacts on professional workflows when EHR role settings do not reflect prior workflows. Such changes may increase user error, dissatisfaction, and patient care disruptions. To mitigate employee dissatisfaction and safety risks, health systems should proactively plan for and communicate about expected modifications and monitor for unintended role-related consequences of EHR transitions, while vendors should ensure accurate role configuration and assignment.

The U.S. Department of Veterans Affairs (VA) is undergoing an enterprise-wide transition from a homegrown electronic health record (EHR) system to a commercial off-the-shelf product. Because of the far-reaching effects of the EHR transformation through all aspects of the healthcare system, VA Health Services Research and Development identified a need to develop a research agenda that aligned with health system priorities so that work may inform evidence-based improvements in implementation processes and outcomes. The purpose of this paper is to report on the development of a research agenda designed to optimize the EHR transition processes and implementation outcomes in a large, national integrated delivery system. We used a sequential mixed-methods approach (portfolio assessment, literature review) combined with multi-level stakeholder engagement approach that included research, informatics, and healthcare operations experts in EHR transitions in and outside the VA. Data from each stage were integrated iteratively to identify and prioritize key research areas within and across all stakeholder groups. VA informatics researchers, regional VA health system leaders, national VA program office leaders, and external informatics experts with EHR transition experience. Through three rounds of stakeholder engagement, priority research topics were identified that focused on operations, user experience, patient safety, clinical outcomes, value realization, and informatics innovations. The resulting EHR-focused research agenda was designed to guide development and conduct of rigorous research evidence aimed at providing actionable results to address the needs of operations partners, clinicians, clinical staff, patients, and other stakeholders. Continued investment in research and evaluation from both research and operations divisions of VA will be critical to executing the research agenda, ensuring its salience and value to the health system and its end users, and ultimately realizing the promise of this EHR transition.

Electronic health record (EHR) transitions are inherently disruptive to healthcare workers who must rapidly learn a new EHR and adapt to altered clinical workflows. Healthcare workers' perceptions of EHR usability and their EHR use patterns following transitions are poorly understood. The Department of Veterans Affairs (VA) is currently replacing its homegrown EHR with a commercial Cerner EHR, presenting a unique opportunity to examine EHR use trends and usability perceptions. To assess EHR usability and uptake up to 1-year post-transition at the first VA EHR transition site using a novel longitudinal, mixed methods approach. A concurrent mixed methods strategy using EHR use metrics and qualitative interview data. 141 clinicians with data from select EHR use metrics in Cerner Lights On Network®. Interviews with 25 healthcare workers in various clinical and administrative roles. We assessed changes in total EHR time, documentation time, and order time per patient post-transition. Interview transcripts (n = 90) were coded and analyzed for content specific to EHR usability. Total EHR time, documentation time, and order time all decreased precipitously within the first four months after go-live and demonstrated gradual improvements over 12months. Interview participants expressed ongoing concerns with the EHR's usability and functionality up to a year after go-live such as tasks taking longer than the old system and inefficiencies related to inadequate training and inherent features of the new system. These sentiments did not seem to reflect the observed improvements in EHR use metrics. The integration of quantitative and qualitative data yielded a complex picture of EHR usability. Participants described persistent challenges with EHR usability 1year after go-live contrasting with observed improvements in EHR use metrics. Combining findings across methods can provide a clearer, contextualized understanding of EHR adoption and use patterns during EHR transitions.