Effectiveness of a Multifaceted Implementation Strategy to Increase Equitable Hospital at Home Utilization: An Interrupted Time Series Analysis.

BACKGROUND: The number of Hospital-at-Home (HaH) programs rapidly increased during the COVID-19 pandemic and after issuance of Centers for Medicare and Medicaid Services' (CMS) Acute Hospital Care at Home (AHCaH) waiver. However, there remains little evidence on effective strategies to equitably expand HaH utilization. OBJECTIVE: Evaluate the effects of a multifaceted implementation strategy on HaH utilization over time. DESIGN: Before and after implementation evaluation using electronic health record (EHR) data and interrupted time series analysis, complemented by qualitative interviews with key stakeholders. PARTICIPANTS: Between December 2021 and December 2022, we identified adults hospitalized at six hospitals in North Carolina approved by CMS to participate in the AHCaH waiver program. Eligible adults met criteria for HaH transfer (HaH-eligible clinical condition, qualifying home environment). We conducted semi-structured interviews with 12 HaH patients and 10 referring clinicians. INTERVENTIONS: Two strategies were studied. The discrete implementation strategy (weeks 1-12) included clinician-directed educational outreach. The multifaceted implementation strategy (weeks 13-54) included ongoing clinician-directed educational outreach, local HaH assistance via nurse navigators, involvement of clinical service line executives, and individualized audit and feedback. MEASURES: We assessed weekly averaged HaH capacity utilization, weekly counts of unique referring providers, and patient characteristics. We analyzed themes from qualitative data to determine barriers and facilitators to HaH use. RESULTS: Our evaluation showed week-to-week increases in HaH capacity utilization during the multifaceted implementation strategy period, compared to discrete-period trends (slope-change odds ratio-1.02, 1.01-1.04). Counts of referring providers also increased week to week, compared to discrete-period trends (slope-change means ratio-1.05, 1.03-1.07). The increase in HaH utilization was largest among rural residents (11 to 34%). Barriers included HaH-related information gaps and referral challenges; facilitators included patient-centeredness of HaH care. CONCLUSIONS: A multifaceted implementation strategy was associated with increased HaH capacity utilization, provider adoption, and patient diversity. Health systems may consider similar, contextually relevant multicomponent approaches to equitably expand HaH.

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.

A regionally tailored epidemiological forecast and monitoring program to guide a healthcare system in the COVID-19 pandemic.

BACKGROUND: During the COVID-19 pandemic, analytics and predictive models built on regional data provided timely, accurate monitoring of epidemiological behavior, informing critical planning and decision-making for health system leaders. At Atrium Health, a large, integrated healthcare system in the southeastern United States, a team of statisticians and physicians created a comprehensive forecast and monitoring program that leveraged an array of statistical methods. METHODS: The program utilized the following methodological approaches: (i) exploratory graphics, including time plots of epidemiological metrics with smoothers; (ii) infection prevalence forecasting using a Bayesian epidemiological model with time-varying infection rate; (iii) doubling and halving times computed using changepoints in local linear trend; (iv) death monitoring using combination forecasting with an ensemble of models; (v) effective reproduction number estimation with a Bayesian approach; (vi) COVID-19 patients hospital census monitored via time series models; and (vii) quantified forecast performance. RESULTS: A consolidated forecast and monitoring report was produced weekly and proved to be an effective, vital source of information and guidance as the healthcare system navigated the inherent uncertainty of the pandemic. Forecasts provided accurate and precise information that informed critical decisions on resource planning, bed capacity and staffing management, and infection prevention strategies. CONCLUSIONS: In this paper, we have presented the framework used in our epidemiological forecast and monitoring program at Atrium Health, as well as provided recommendations for implementation by other healthcare systems and institutions to facilitate use in future pandemics.

Screening for Behavioral Health Patient Aggression in Emergency Departments to Reduce Workplace Violence.

INTRODUCTION: Patient violence in health care facilities occurs daily. Structured risk assessments, when regularly completed, have been effective in prompting interventions to reduce aggression in Behavioral Health (BH) settings. METHODS: This quasi-experimental study evaluated the effectiveness of the Dynamic Appraisal of Situational Aggression - Inpatient Version (DASA) validated screening tool to reduce aggressive outbursts in an emergency department (ED) setting with BH patients awaiting transfer to a psychiatric facility. The tool was used in 4 non-psychiatric EDs from a large health care system. Chart audits were completed to record initial patient DASA scores observed at triage and at subsequent intervals during the ED encounter. ED staff documented interventions used for patients. Inclusion criteria included adults 21 years and older following a telepsychiatry consultation with a recommendation for BH inpatient admission. Pre-/post-implementation aggressive events were collected to assess ED DASA use. DASA scores from BH ED patients were examined to increase understanding of patient utilization. Staff workplace safety was examined to compare staff safety perception pre- and post-DASA implementation. RESULTS: Violent events were reported statistically significantly higher post-DASA implementation. There was an increased risk of elevated DASA scores for specific diagnoses and genders. An increased awareness of the importance of reporting workplace violence improved documentation. DISCUSSION: Using an evidence-based screening tool helped identify BH patients with behaviors associated with aggressive ED events. Proactive use of interventions, including use of Comfort Cart items, de-escalation, and prescribed medications, can positively influence reduction of risk from aggressive behaviors within BH patient populations in EDs.

Factors that affect dentists' use of antibiotic prophylaxis: Findings from The National Dental Practice-Based Research Network questionnaire.

BACKGROUND: Little is known about factors that influence dentists' decision making concerning antibiotic prophylaxis (AP) prescribing. The objective of this study was to determine factors that influence dentists' AP prescribing habits in patients at risk of developing infective endocarditis and prosthetic joint infections. METHODS: A questionnaire was administered to 3,584 dentist members of The National Dental Practice-Based Research Network. In addition to descriptive statistics, ordinal regression models were used to determine the factors most likely to impact dentists' decisions to prescribe AP. RESULTS: Overall, 2,169 (61%) dentists in The National Dental Practice-Based Resesarch Network responded. Responders' decisions to prescribe antibiotics were influenced primarily by official guidelines, scientific literature, and physician or medical specialist opinion. Regarding potential risks, the greatest level of concern was for the development of infective endocarditis or prosthetic joint infections. Although litigation was deemed problematic, more than 90% of responders indicated a strong concern for the best course of action for the patient's health. Dentists also indicated a high level of concern about the potential for generating antibiotic-resistant bacteria with AP use and increased risk of adverse drug reactions. CONCLUSIONS: Dentists' AP decision making seems most influenced by official guidelines, scientific literature, and advice from a physician or medical specialist. PRACTICAL IMPLICATIONS: These results suggest that one of the most effective means for promoting concordance of dentists clinical practice with the scientific basis for AP is to emphasize the importance and clarity of American Heart Association and American Dental Association recommendations and antimicrobial stewardship regarding prevention of infective endocarditis and prosthetic joint infections.

A College Fast-Food Environment and Student Food and Beverage Choices: Developing an Integrated Database to Examine Food and Beverage Purchasing Choices among College Students.

Universities typically offer residential students a variety of fast-food dining options as part of the student meal plan. When residential students make fast-food purchases on campus there is a digital record of the transaction which can be used to study food purchasing behavior. This study examines the association between student demographic, economic, and behavioral factors and the healthfulness of student fast-food purchases. The 3781 fast-food items sold at the University of North Carolina at Charlotte from fall 2016 to spring 2019 were given a Fast-Food Health Score. Each student participating in the university meal plan was given a Student Average Fast-Food Health Score; calculated by averaging the Fast-Food Health Scores associated with each food and beverage item the student purchased at a fast-food vendor, concession stand, or convenience store over a semester. This analysis included 14,367 students who generated 1,593,235 transactions valued at $10,757,110. Multivariate analyses were used to examine demographic, economic, and behavioral factors associated with Student Average Fast-Food Health Scores. Being of a low income, spending more money on fast-food items, and having a lower GPA were associated with lower Student Average Fast-Food Health Scores. Future research utilizing institutional food transaction data to study healthy food choices is warranted.

Patient and Caregiver Outcomes and Experiences With Team-Based Memory Care: A Mixed Methods Study.

Patients with dementia and their caregivers need ongoing educational and psychosocial support to manage their complex diagnosis. This mixed methods study evaluated the impact of a memory clinic with an embedded dementia navigator on the experiences and health outcomes of patients with dementia and their caregivers. At the 12-month follow-up, patients receiving memory clinic services (n = 238) had higher emergency department visits than a matched cohort with dementia (n = 938), although hospitalizations did not differ. Patient quality of life and caregiver burden scores also did not differ between baseline and 12-months. Interviews revealed that caregivers (n = 12) valued the educational and social support components of the memory clinic and perceived that the clinic had a positive impact on their experiences. Findings suggest that this embedded navigator model is useful for addressing caregiver needs and may have potential to stem increases in caregiver burden and patient quality of life that occur with disease progression.

Methodology for the development of a national Dental Practice-Based Research Network survey on dentist's beliefs and behaviors concerning antibiotic prophylaxis.

BACKGROUND: Dentists are high prescribers of antibiotics for both treatment and prevention of infection, although there are few guidelines to aid clinicians. Given the worldwide concerns about unnecessary use of antibiotics, there is a need for a better understanding of dentists' use of these drugs for antibiotic prophylaxis (AP) to prevent distant site infections (i.e., infective endocarditis and prosthetic joint infection). OBJECTIVE: The aim of this study was to develop and implement an effective, self-reporting, cross-sectional, survey instrument that optimized the response rate and maximized reliability and validity for determining the beliefs and behaviors of a large and nationally representative group of generalist and specialist dentists concerning their use of AP. STUDY DESIGN: A 15-question survey (58 items) was developed in a structured process by a multidisciplinary team and configured for automated online dissemination to 3584 national Dental Practice-Based Research Network (DPBRN; hitherto referred to as "Network") practitioners. The implementation phase consisted of 3 waves of greater than 1000 Network members. Additionally, 47 randomly selected dentists were surveyed twice to assess test-retest reliability. RESULTS: Of 3584 eligible Network members, 2169 (60.5%) completed the survey. The age and geographic distributions of responders was similar to those of dentists in the 2019 American Dental Association census. Furthermore, test-retest weighted kappa values for the survey were acceptable (median 0.56; interquartile range 0.42-0.64). CONCLUSIONS: We developed a highly structured survey with a high response rate and good reliability that will allow us to obtain unique data on dentists' beliefs and practices regarding AP prescribing.

Simulation-based interdisciplinary education improves intern attitudes and outlook toward colleagues in other disciplines.

BACKGROUND: Cooperative interdisciplinary patient care is a modern healthcare necessity. While various medical and surgical disciplines have independent educational requirements, a system-wide simulation-based curriculum composed of different disciplines provides a unique forum to observe the effect of interdisciplinary simulation-based education (IDSE). Our hypothesis: IDSE positively affects intern outlook and attitudes towards other medical disciplines. METHODS: Using an established interdisciplinary simulation curriculum designed for first year interns, we explored the relative effect of IDSE on between-discipline intern attitudes in a convergent, parallel, mixed-methods study. Data sources included novel pre-post anonymous survey measurements (10-point Likert scale), focus groups, direct observations, and reflective field notes. This quasi-experimental pilot study was conducted at an academic, tertiary care medical center with two cohorts of interns: one exposed to IDSE and one exposed to an independent within-discipline simulation curriculum. RESULTS: IDSE exposed interns demonstrated statistically significant improvements when comparing mean pre-test and post-test score differences in five of seven areas: perceived interdisciplinary collegiality ([Formula: see text] = 0.855; p = 0.0002), respect (x̅ = 0.436; p = 0.0312), work interactions ([Formula: see text] = 0.691; p = 0.0069), perceived interdisciplinary attitudes (x̅ = 0.764; p = 0.0031), and comfort in interdisciplinary learning (x̅ = 1.164; p < 0.0001). There were no changes in interdisciplinary viewpoints observed among non-IDSE interns. IDSE interns were comfortable when learning with interns of different disciplines and believed others viewed their discipline positively compared to non-IDSE interns. Qualitative data uncovered the following themes related to the impact of IDSE including: 1) Relationship building, 2) Communication openness, 3) Attitude shifting, and 4) Enhanced learner experience. CONCLUSIONS: IDSE positively influenced intern outlook on and attitudes towards other medical disciplines. This unique learning environment provided interns an opportunity to learn clinical case management while learning about, from, and with each other; subsequently breaking traditional discipline-specific stereotypes and improving interdisciplinary relations. Future explicit focus on IDSE offers opportunity to improve interdisciplinary interactions and patient care.