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Articles 1 - 2 of 2
Full-Text Articles in Other Mental and Social Health
Assessment And Diagnostic Practices Relating To Autism Spectrum Disorder In The United States And Mexico, Maria Valdez, Jessica R. Stewart, Wan-Lin Chang, Ruth Crutchfield, Ralph Carlson
Assessment And Diagnostic Practices Relating To Autism Spectrum Disorder In The United States And Mexico, Maria Valdez, Jessica R. Stewart, Wan-Lin Chang, Ruth Crutchfield, Ralph Carlson
Internet Journal of Allied Health Sciences and Practice
Purpose: The present study examined and compared professional assessment and diagnostic practices relating to autism spectrum disorder (ASD) in Mexico and the United States (U.S.). This information is of great importance because there is an extremely limited amount of information pertaining the assessment and diagnostic practices for ASD in Mexico and little is known about how these practices compare to those in the U.S. Methods: Archival data from a survey investigating ASD in the U.S. and Mexico was used for this study. Participants included 29 professionals from the U.S. and 7 professionals from Mexico. Professionals were from a variety of …
Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone
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 …