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Full-Text Articles in Other Mental and Social Health

A Helping Hand Out Of The River: Refugee Perspectives For Provider Engagement, Brian L. Isakson, Elizabeth R. Stein, Alexandra Olson, Destiny Waggoner, Jill Holtz, Sara Ali, Suha Amer, Martin Ndayisenga Nov 2023

A Helping Hand Out Of The River: Refugee Perspectives For Provider Engagement, Brian L. Isakson, Elizabeth R. Stein, Alexandra Olson, Destiny Waggoner, Jill Holtz, Sara Ali, Suha Amer, Martin Ndayisenga

Journal of Patient-Centered Research and Reviews

Purpose: A growing number of refugee groups are seeking care within the U.S. health care system for medical, psychological, and social needs. Research is limited in understanding refugee-specific conceptualizations of helping relationships and provider characteristics that improve interactions in health systems. This study aimed to identify provider characteristics that facilitate engagement and helpfulness in a refugee-specific population from refugee participant voices to inform future practices of health care clinics.

Methods: Semi-structured interviews with refugee participants were conducted to assess 1) experiences moving on from difficult experiences, 2) engagement with the health system, and 3) provider characteristics that facilitated engagement and …


Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone Jul 2022

Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Delirium, a common and serious disorder in older hospitalized patients, remains underrecognized. While several delirium predictive models have been developed, only a handful have focused on electronic health record (EHR) data. This prospective cohort study of older inpatients (≥ 65 years old) aimed to determine if variables within our health system’s EHR could be used to identify delirium among hospitalized patients at the bedside. Trained researchers screened daily for delirium using the 3-minute diagnostic Confusion Assessment Method (3D-CAM). Patient demographic and clinical variables were extracted from the EHR. Among 408 participants, mean age was 75 years, 60.8% were female, and …