A time-series analysis examining implementation strategies to increase use of an early-supported discharge hospital at home model.

Background: Early-supported discharge (ESD) hospital-at-home (HaH) programs facilitate hospitalized patients to receive ongoing acute-level care at home, thereby promoting patient-centeredness while improving hospital throughput.

Objectives: The current study aimed to test multiple implementation strategies to increase and sustain HaH ESD utilization.

Methods: We conducted interrupted time series analyses to evaluate the effectiveness of implementation strategies on weekly HaH ESD referrals and capacity utilization at five hospitals.

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.

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.

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.

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.

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.

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.

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.

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 ( = 238) had higher emergency department visits than a matched cohort with dementia ( = 938), although hospitalizations did not differ.

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.