Publications by authors named "R Griffey"
Background: Type 2 ketone-prone diabetes mellitus (T2KPDM) is thought to occur in men of African descent, with obesity who experienced prolonged hyperglycemia; the role of medication non-adherence as a contributing cause remains unstudied.
Research Design And Methods: This was a retrospective study of unique adults (>18 years) who sought emergency care one of four hospitals in the greater Detroit area. Patients were identified on the basis of a laboratory order for a ß-hydroxybutyrate concentration.
Article Synopsis
- The SQuID protocol, aimed at treating low- to moderate-severity diabetic ketoacidosis outside of intensive care, was assessed for acceptability among emergency department and inpatient clinicians through a survey conducted between March and November 2023 at an urban academic hospital.
- A high response rate of 80% (107 out of 133 clinicians) revealed that 65% of ED clinicians preferred SQuID over traditional intravenous insulin, with overall acceptability rated positively across various domains.
- Clinicians expressed strong support for SQuID, describing it as easy to use and demonstrating a favorable attitude towards its implementation in clinical practice.
Objective: We previously demonstrated safe treatment of low- to moderate-severity (LTM) diabetic ketoacidosis (DKA) using the SQuID protocol (subcutaneous insulin in DKA) in a non-intensive care unit (ICU) observation setting, with decreased emergency department length of stay (EDLOS). Here, we expand eligibility to include sicker patients and admission to a regular medical floor and collected more detailed clinical data in a near-real-time fashion.
Methods: This is a real-world, prospective, observational cohort study in an urban academic hospital (March 4, 2023-March 4, 2024).
Objectives: We previously described derivation and validation of the emergency department trigger tool (EDTT) for adverse event (AE) detection. As the first step in our multicenter study of the tool, we validated our computerized screen for triggers against manual review, establishing our use of this automated process for selecting records to review for AEs.
Methods: This is a retrospective observational study of visits to three urban, academic EDs over 18 months by patients ≥ 18 years old.
The Clinical Emergency Data Registry (CEDR) is a qualified clinical data registry that collects data from participating emergency departments (EDs) in the United States for quality measurement, improvement, and reporting purposes. This article aims to provide an overview of the data collection and validation process, describe the existing data structure and elements, and explain the potential opportunities and limitations for ongoing and future research use. CEDR data are primarily collected for quality reporting purposes and are obtained from diverse sources, including electronic health records and billing data that are de-identified and stored in a secure, centralized database.
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