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Palliative Nursing Commons

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Full-Text Articles in Palliative Nursing

Discordant Cardiopulmonary Resuscitation At An Academic Midwest Medical Center- Prevalence And Solutions, Jeremy Payne, Anne Skinner, David Gannon, Jenenne A. Geske Oct 2023

Discordant Cardiopulmonary Resuscitation At An Academic Midwest Medical Center- Prevalence And Solutions, Jeremy Payne, Anne Skinner, David Gannon, Jenenne A. Geske

Graduate Medical Education Research Journal

Background: Code status orders are important features of patient-centered clinical decisions, patient autonomy, and end-of-life care. Despite proper documentation of “do not resuscitate” (DNR) code status, hospitalized patients may be subjected to cardiopulmonary resuscitation (CPR) efforts that go against their wishes.

Purpose: The objective of this study was to identify and describe the population of hospitalized patients receiving discordant resuscitation efforts at a Midwest academic medical center utilizing electronic health records (EHR).

Method: The study included EHR records between 01/01/2011 and 01/01/2021 for hospitalized patients 19 years and older who experienced cardiac arrest (ICD-10 I46) and were documented as DNR. …


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 …