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Patient Safety Commons

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Full-Text Articles in Patient Safety

Previous Health Care Experiences’ Influence On Health Care Perceptions Among Residents In Six Homeless Shelters In Seattle, Washington, July–October 2021, Ashley A. Meehan, Sarah N. Cox, Nicholas B. Thuo, Julia H. Rogers, Amy C. Link, Miguel A. Martinez, Natalie K. Lo, Brian J. Manns, Melissa A. Rolfes, Eric J. Chow, Helen Y. Chu, Emily Mosites, Morhaf Al Achkar Jul 2023

Previous Health Care Experiences’ Influence On Health Care Perceptions Among Residents In Six Homeless Shelters In Seattle, Washington, July–October 2021, Ashley A. Meehan, Sarah N. Cox, Nicholas B. Thuo, Julia H. Rogers, Amy C. Link, Miguel A. Martinez, Natalie K. Lo, Brian J. Manns, Melissa A. Rolfes, Eric J. Chow, Helen Y. Chu, Emily Mosites, Morhaf Al Achkar

Journal of Patient-Centered Research and Reviews

Purpose: The study purpose was to learn and describe 1) where homeless shelter residents receive health care, 2) what contributes to positive or negative health care experiences among shelter residents, and 3) shelter resident perceptions toward health care.

Methods: Semi-structured interviews (SSIs) utilizing purposive sampling and focus group discussions (FGDs) utilizing convenience sampling were conducted at 6 homeless shelters in Seattle-King County, Washington, during July–October 2021. All residents (age ≥ 18) were eligible to participate. SSIs were conducted with 25 residents, and 8 FGDs were held. Thematic analysis was conducted using Dedoose.

Results: Participants received health care …


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 …