Faculty Bibliography

BACKGROUND:Readmission rates for heart failure remain high, and affordable technology for early detection of heart failure decompensation in the home environment is needed. Lung ultrasound has been shown to be a sensitive tool to detect pulmonary congestion due to heart failure, and monitoring patients in their home environment with lung ultrasound could help to prevent hospital admissions. The aim of this project was to investigate whether patient-performed tele-guided ultrasound in the home environment using an ultraportable device is feasible.Affiliations: Journal instruction requires a country for affiliations; however, these are missing in affiliations [1, 2]. Please verify if the provided country are correct and amend if necessary.Correct METHODS: Stable ambulatory patients with heart failure received a handheld ultrasound probe connected to a smart phone or tablet. Instructions for setup were given in person during a clinic visit or over the phone. During each ultrasound session, patients obtained six ultrasound clips from the anterior and lateral chest with verbal and visual tele-guidance from an ultrasound trained clinician. Patients also reported their weight and degree of dyspnea, graded on a 5-point scale. Two independent reviewers graded the ultrasound clips based on the visibility of the pleural line and A or B lines. RESULTS:Eight stable heart failure patients each performed 10-12 lung ultrasound examinations at home under remote guidance within a 1-month period. There were no major technical difficulties. A total of 89 ultrasound sessions resulted in 534 clips of which 88% (reviewer 1) and 84% (reviewer 2) were interpretable. 91% of ultrasound sessions produced interpretable clips bilaterally from the lateral chest area, which is most sensitive for the detection of pulmonary congestion. The average time to complete an ultrasound session was 5 min with even shorter recording times for the last session. All patients were clinically stable during the study period and no false positive B-lines were observed. CONCLUSIONS:In this feasibility study, patients were able to produce interpretable lung ultrasound exams in more than 90% of remotely supervised sessions in their home environment. Larger studies are needed to determine whether remotely guided lung ultrasound could be useful to detect heart failure decompensation early in the home environment.

BACKGROUND:Prothrombin/international normalized ratio and activated partial thromboplastin time (PT/INR and aPTT) are frequently ordered in emergency departments (EDs), but rarely affect management. They offer limited utility outside of select indications. Several quality improvement initiatives have shown reduction in ED use of PT/INR and aPTT using multifaceted interventions in well-resourced settings. Successful reduction of these low-value tests has not yet been shown using a single intervention across a large hospital system in a safety net setting. This study aims to determine if an intervention of two BPAs is associated with a reduction in PT/INR and aPTT usage across a large safety net system. METHODS:This initiative was set at a large safety net system in the United States with 11 acute care hospitals. Two Best Practice Advisories (BPAs) discouraging inappropriate PT/INR and aPTT use were implemented from March 16, 2022-August 30, 2022. Order rate per 100 ED patients during the pre-intervention period was compared to the post-intervention period on both the system and individual hospital level. Complete blood count (CBC) testing served as a control, and packed red blood cell transfusions served as a balancing measure. An interrupted time series regression analysis was performed to capture immediate and temporal changes in ordering for all tests in the pre and post-intervention periods. RESULTS:PT/INR tests exhibited an absolute decline of 4.11 tests per 100 ED encounters (95% confidence interval -5.17 to -3.05; relative reduction of 18.9%). aPTT tests exhibited absolute decline of 4.03 tests per 100 ED encounters (95% CI -5.10 to -2.97; relative reduction of 19.8%). The control measure, CBC, did not significantly change (-0.43, 95% CI -2.83 to 1.96). Individual hospitals showed variable response, with absolute reductions from 2.02 to 9.6 tests per 100 ED encounters for PT/INR (relative reduction 12.1%-30.5%) and 2.07 to 10.04 for aPTT (relative reduction 12.1%-31.4%). Regression analysis showed that the intervention caused an immediate 25.7% decline in PT/INR and 24.7% decline in aPTT tests compared to the control measure. The slope differences (rate of order increase pre vs post intervention) did not significantly decline compared to the control. CONCLUSIONS:This BPA intervention reduced PT/INR and aPTT use across 11 EDs in a large, urban, safety net system. Further study is needed in implementation to other non-safety net settings.

This paper outlines the development, deployment and use, and testing of a tool for measuring and improving healthcare researcher embeddedness - i.e., being connected to and engaged with key leverage points and stakeholders in a health system. Despite the widely acknowledged importance of embeddedness for learning health systems and late-stage translational research, we were not aware of useful tools for addressing and improving embeddedness in scholar training programs. We developed the MN-LHS Embeddedness Tool covering connections to committees, working groups, leadership, and other points of contact across four domains: patients and caregivers; local practice (e.g., operations and workflows); local institutional research (e.g., research committees and agenda- or initiative-setting groups); and national (strategic connections within professional groups, conferences, etc.). We used qualitative patterns and narrative findings from 11 learning health system training program scholars to explore variation in scholar trajectories and the embeddedness tool's usefulness in scholar professional development. Tool characteristics showed moderate evidence of construct validity; secondarily, we found significant differences in embeddedness, as a score, from baseline through program completion. The tool has demonstrated simple, practical utility in making embeddedness an explicit (rather than hidden) part of applied and learning health system researcher training, alongside emerging evidence for validity.

BACKGROUND:Burnout has risen across healthcare workers during the pandemic, contributing to workforce turnover. While prior literature has largely focused on physicians and nurses, there is a need to better characterize and identify actionable predictors of burnout and work intentions across healthcare role types. OBJECTIVE:To characterize the association of work overload with rates of burnout and intent to leave (ITL) the job in a large national sample of healthcare workers. DESIGN:Cross-sectional survey study conducted between April and December 2020. SETTING:A total of 206 large healthcare organizations. PARTICIPANTS:Physicians, nurses, other clinical staff, and non-clinical staff. MEASURES:Work overload, burnout, and ITL. RESULTS:The sample of 43,026 respondents (mean response rate 44%) was comprised of 35.2% physicians, 25.7% nurses, 13.3% other clinical staff, and 25.8% non-clinical staff. The overall burnout rate was 49.9% (56.0% in nursing, 54.1% in other clinical staff, 47.3% in physicians, and 45.6% in non-clinical staff; p < 0.001 for difference). ITL was reported by 28.7% of healthcare workers, with nurses most likely to report ITL (41.0%), followed by non-clinical staff (32.6%), other clinical staff (32.1%), and physicians (24.3%) (p < 0.001 for difference). The prevalence of perceived work overload ranged from 37.1% among physicians to 47.4% in other clinical staff. In propensity-weighted models, work overload was significantly associated with burnout (adjusted risk ratio (ARR) 2.21 to 2.90) and intent to leave (ARR 1.73 to 2.10) across role types. LIMITATIONS:Organizations' participation in the survey was voluntary. CONCLUSIONS:There are high rates of burnout and intent to leave the job across healthcare roles. Proactively addressing work overload across multiple role types may help with concerning trends across the healthcare workforce. This will require a more granular understanding of sources of work overload across different role types, and a commitment to matching work demands to capacity for all healthcare workers.

Palliative care clinicians (PCCs) in the United States face the combination of increasing burnout and a growing need for their services based on demographic changes and an increasing burden of serious illness. In addition to efforts to increase the number of PCCs and to train other clinicians in "primary palliative skills," we must address the burnout in the field to address the growing gap between need for this care and capacity to provide it. To address burnout in PCCs, we must develop solutions with the unique contributors to burnout in this field in mind. PCCs are particularly susceptible to moral distress and moral injury faced by all clinicians, and these states are inextricably linked to burnout. We propose three solutions to address moral distress and moral injury in PCCs to reduce burnout. These solutions are grounded in the dilemmas particular to palliative care and in best evidence: first, to create space for PCCs to confront moral challenges head-on; second, to integrate ethics consultations into care of some patients cared for by PCCs; and third, to reassess care models for PCCs. These approaches can mitigate burnout and thus address the growing gap in our ability to provide high-quality palliative care for those patients in need.

BACKGROUND:The environment in which clinicians provide care and think about their patients is a crucial and undervalued component of the diagnostic process. CONTENT:In this paper, we propose a new conceptual model that links work conditions to clinician responses such as stress and burnout, which in turn impacts the quality of the diagnostic process and finally patient diagnostic outcomes. The mechanism for these interactions critically depends on the relationship between working memory (WM) and long-term memory (LTM), and ways WM and LTM interactions are affected by working conditions. SUMMARY:We propose a conceptual model to guide interventions to improve work conditions, clinician reactions and ultimately diagnostic process, accuracy and outcomes. OUTLOOK:Improving diagnosis can be accomplished if we are able to understand, measure and increase our knowledge of the context of care.

OBJECTIVES:To understand the relationship between stressful work environments and patient care by assessing work conditions, burnout, and elements of the diagnostic process. METHODS:Notes and transcripts of audiotaped encounters were assessed for verbal and written documentation related to psychosocial data, differential diagnosis, acknowledgement of uncertainty, and other diagnosis-relevant contextual elements using 5-point Likert scales in seven primary care physicians (PCPs) and 28 patients in urgent care settings. Encounter time spent vs time needed (time pressure) was collected from time stamps and clinician surveys. Study physicians completed surveys on stress, burnout, and work conditions using the Mini-Z survey. RESULTS:Physicians with high stress or burnout were less likely to record psychosocial information in transcripts and notes (psychosocial information noted in 0% of encounters in 4 high stress/burned-out physicians), whereas low stress physicians (n=3) recorded psychosocial information consistently in 67% of encounters. Burned-out physicians discussed a differential diagnosis in only 31% of encounters (low counts concentrated in two physicians) vs. in 73% of non-burned-out doctors' encounters. Burned-out and non-burned-out doctors spent comparable amounts of time with patients (about 25 min). CONCLUSIONS:Key diagnostic elements were seen less often in encounter transcripts and notes in burned-out urgent care physicians.

OBJECTIVES:To develop a brief teamwork measure and determine how teamwork relates to provider experience, burnout, and work intentions. STUDY DESIGN:Survey of clinicians. METHODS:We analyzed data from Optum's 2019 biannual clinician survey, including a validated burnout measure and measures of provider experience and intent to stay. A 6-item measure of team effectiveness (TEAM) focused on efficiency, communication, continuous improvement, and leadership. Construct validity was assessed with content, reliability, and correlation with burnout. Generalized estimating equations with robust SEs determined relationships among TEAM score, provider experience, and intent to stay, controlling for demographics, clustering, and practice factors. RESULTS:Of 1500 physicians and advanced practice clinicians (1387 with complete data; response rate 56%), there were 58% in primary care; 57% were women, and 38% identified as Asian, Black/Hispanic, or another race/ethnicity other than White non-Hispanic. Burnout was present in 30%. The Cronbach α was excellent (0.86), and TEAM correlated with the validated burnout measure (adjusted odds ratio [OR] of lower burnout with high TEAM score, 0.28; 95% CI, 0.19-0.40; P < .0001). Clinicians with TEAM scores of at least 4 were more likely to have positive provider experiences (79% favorable vs 24% with low TEAM score; P < .001), had lower burnout rates (17% vs 44%%; P < .001), and more often intended to stay (93% vs 65%; P < .001). TEAM index score was strongly associated with provider experience (adjusted OR, 11.72; 95% CI, 8.11-16.95; P < .001) and intent to stay (adjusted OR, 7.24; 95% CI, 5.34-9.83; P < .001). CONCLUSIONS:The TEAM index is related to provider experience, burnout, and intent to stay, and it may help organizations optimize clinical work environments.

INTRODUCTION/UNASSIGNED:Compared to stably housed peers, people experiencing homelessness (PEH) have lower rates of ideal glycemic control, and experience premature morbidity and mortality. High rates of behavioral health comorbidities and trauma add to access barriers driving poor outcomes. Limited evidence guides behavioral approaches to support the needs of PEH with diabetes. Lay coaching models can improve care for low-resource populations with diabetes, yet we found no evidence of programs specifically tailored to the needs of PEH. METHODS/UNASSIGNED:We used a multistep, iterative process following the ORBIT model to develop the Diabetes Homeless Medication Support (D-HOMES) program, a new lifestyle intervention for PEH with type 2 diabetes. We built a community-engaged research team who participated in all of the following steps of treatment development: (1) initial treatment conceptualization drawing from evidence-based programs, (2) qualitative interviews with affected people and multi-disciplinary housing and healthcare providers, and (3) an open trial of D-HOMES to evaluate acceptability (Client Satisfaction Questionnaire, exit interview) and treatment engagement (completion rate of up to 10 offered coaching sessions). RESULTS/UNASSIGNED:= 10) overall found the program acceptable, however, we saw better program satisfaction and treatment engagement among more stably housed people. We developed adapted treatment materials for the target population and refined recruitment/retention strategies and trial procedures sensitive to prevalent discrimination and racism to better retain people of color and those with less stable housing. DISCUSSION/UNASSIGNED:The research team has used these findings to inform an NIH-funded randomized control pilot trial. We found synergy between community-engaged research and the ORBIT model of behavioral treatment development to develop a new intervention designed for PEH with type 2 diabetes and address health equity gaps in people who have experienced trauma. We conclude that more work and different approaches are needed to address the needs of participants with the least stable housing.