Medicine and Health Sciences Commons^™

Results Of A Needs Assessment: Use Of Sexual Orientation And Gender Identity Data In Health Systems In Maine, Lucy Soule, Melissa Fairfield, Sivana Barron, Natalie Kuhn, Brandy Brown

Journal of Maine Medical Center

Introduction: Lesbian, gay, bisexual, transgender, queer, or questioning (LGBTQ+) patients experience significantly more health care disparities than non-LGBTQ+ patients. Although sexual orientation and gender identity data (SOGI) would help quantify and track these known disparities, there are no standardized methods for routinely and consistently including SOGI into health care management in Maine. Our needs assessment (1) evaluates the comfort of health care professionals (HCPs) in collecting SOGI and incorporating it into the medical record and (2) identifies barriers to SOGI collection.

Methods: An interprofessional team conducted a survey of Maine HCPs who identified as working directly with patients or patient …

Retrospective Evaluation Of The Covid-19 Contact Tracing Program At The Maine Center For Disease Control And Prevention, Elisabeth Brewington Mha, Mph, Ben K. Greenfield Phd, Jessica Purser Phd

Journal of Maine Medical Center

Introduction: Despite the widespread use of contact tracing efforts throughout the COVID-19 pandemic, there are limited findings available about best practices and recommendations. The Maine Center for Disease Control and Prevention contracted staff to conduct COVID-19 contact tracing from August 2020 through February 2022. A retrospective evaluation of this program was conducted to share lessons learned with public health and health care leaders for future use.

Methods: Contracted contact tracing staff participated in facilitated discussions structured by the Strengths, Weaknesses, Opportunities, and Threats analysis framework. Three sessions were recorded and transcribed, and qualitative analysis through thematic review and evaluation coding …

Patient And Provider Experience With Artificial Intelligence Screening Technology For Diabetic Retinopathy In A Rural Primary Care Setting, Brian M. Nolan, Emma R. Daybranch, Kerri Barton, Neil Korsen

Journal of Maine Medical Center

Introduction: The development of autonomous artificial intelligence for interpreting diabetic retinopathy (DR) images has allowed for point-of-care testing in the primary care setting. This study describes patient and provider experiences and perceptions of the artificial intelligence DR screening technology called EyeArt by EyeNuk during implementation of the tool at Western Maine Primary Care in Norway, Maine.

Methods: This non-randomized, single-center, prospective observational study surveyed 102 patients and 13 primary care providers on their experience of the new screening intervention.

Results: All surveyed providers agreed that the new screening tool would improve access and annual screening rates. Some providers also identified …

Inpatient Discharge-By-Noon: Are Fewer Better Than All?, Nicholas Ballester, Pratik J. Parikh, Kara Combs, Jordan S. Peck

Journal of Maine Medical Center

Introduction: To address boarding in hospital emergency departments, discharge-by-noon could free up inpatient beds earlier in the day. However, discharging all patients by noon can heavily burden inpatient units and may not be feasible. In this study, we determine the number of discharges after which the benefits of an additional discharge-by-noon diminish.

Methods: We conducted a simulation analysis to quantify how occupancy rate, mean daily number of discharges, and peak discharge time impact upstream boarding time in an inpatient neurology unit at Maine Medical Center. Using a day-of-discharge simulation model with one year of retrospective data, we assessed configurations approximating …

Healthcare Systems Should Be Leaders In Patient-Centered Sustainability, Katherine T. Liu Md, Facp, Lesley B. Gordon Md, Ms

Journal of Maine Medical Center

No abstract provided.

Patient Transport In The Time Of Covid-19: Using Health Care Failure Mode And Effect Analysis With Simulation To Test And Modify A Protocol, John Kwock, Jeffrey Holmes, Shelly Chipman, Erin Siebers, Angela Berry, Sonja Orff, Victoria Boutin, Leah Mallory

Journal of Maine Medical Center

Introduction: In March 2020, in response to the COVID-19 pandemic, an interprofessional, interdisciplinary team at Maine Medical Center used Healthcare Failure Mode and Effect Analysis (HFMEA) and in situ simulation to rapidly identify and mitigate latent safety threats (LST) in patient transport protocols.

Methods: Following HFMEA steps, stakeholders representing a variety of disciplines assembled to address transport of patients with COVID-19. A process map was created to describe the process. With hazard analysis using table-top simulation followed by in situ simulation, we identified, categorized, and scored LSTs. Mitigation strategies were identified during structured debriefing.

Results: Fourteen LSTs were identified in …