To measure Doctor of Pharmacy (PharmD) students' confidence and assess their performance when processing inpatient medication orders, and to determine students' opinions regarding electronic health record (EHR) technology. Using an EHR platform, students processed inpatient medication orders during two laboratory sessions and one assessment. Each student was assigned one unique patient per session and was given three inpatient orders to process. Medication errors were randomly imbedded in the medication orders. Students needed to determine if the order was acceptable or required flagging because of an identified error. Pre- and post-activity surveys were administered to assess students' level of confidence and perceptions regarding the simulated EHR activities. Aggregate performance scores were compared between a cohort of PharmD students that used an EHR for the activity versus those who completed the activity the previous year using a paper-based medication form. One hundred eight of 158 students (68%) in the course had pre- and post-activity survey data that could be paired. Less than one quarter (24%) of students had prior work experience in a hospital setting. For the medication verification questions, the confidence levels of students who used the EHR doubled and in some cases tripled pre- and post-EHR implementation. In each of the areas surveyed, results for all medication order processing statements were significant. Student performance improved significantly compared with that of those who completed the activity the previous year using a paper-based medication form. Post-EHR implementation, a significantly lower number of students felt that learning to use EHR technology would prepare them for advanced pharmacy practice experiences. Exposure to EHR technology improved PharmD students' confidence and performance scores related to processing inpatient medication orders. These findings support the continued use of an EHR platform in skills-based activities.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473233 | PMC |
http://dx.doi.org/10.5688/ajpe7534 | DOI Listing |
Palliat Med
January 2025
Department of Health Sciences, University of York, York, UK.
Background: Delirium is common and distressing for hospice in-patients. Hospital-based research shows delirium may be prevented by targeting its risk factors. Many preventative strategies address patients' fundamental care needs.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Boston College, William F. Connell School of Nursing, Boston, MA, United States.
Background: The effect of antidiabetic agents on mortality outcomes is unclear for individuals with diabetes mellitus (DM) who are hospitalized for COVID-19.
Purpose: To examine the relationship between antidiabetic agent use and clinical outcomes in individuals with DM hospitalized for COVID-19.
Methods: A systematic review of the literature (2020-2024) was performed across five databases.
Front Neurol
January 2025
Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
We theorize that the southeastern United States has a higher stroke mortality rate and higher recurrent ischemic stroke rate than the rest of the United States due to (1) an increased prevalence of hypercoagulable states among young adults in the region, (2) failure to diagnose hypercoagulable states as the cause of ischemic stroke in young adults, and (3) underutilization of anticoagulation for ischemic stroke secondary prevention in young adults with hypercoagulable states. In an attempt to investigate this hypothesis, we conducted a retrospective chart review of 311 inpatients with first-ever ischemic stroke from age 18 to 55 years at an Oklahoma academic medical center from 1 July 2011 to 30 April 2017. Using Chi-squared test, we compared the stroke etiologic diagnosis of the attending neurologist at discharge-when hypercoagulable profile results were rarely available-to the diagnosis of a vascular neurologist postdischarge who had access to all available etiologic test results.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Hepatobiliary Pancreatic Surgery Department, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality.
Objective: To develop an optimum model for predicting the mortality of adult sepsis patients based on comparing traditional logistic regression and machine learning methodology.
Cureus
December 2024
Physical Medicine and Rehabilitation, Centro de Reabilitação do Norte, Vila Nova de Gaia, PRT.
Background: Painful hemiplegic shoulder (PHS) is a prevalent and challenging complication following a stroke and can significantly impair a patient's engagement in rehabilitation, leading to poorer functional outcomes and extended hospital stays. This retrospective cohort study aims to investigate the incidence, etiology, and management of PHS in stroke inpatients, focusing on the effectiveness of various therapeutic interventions.
Methods: We conducted a retrospective analysis of subacute stroke inpatients who developed PHS during rehabilitation at a single center.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!