The health outcomes of infants in neonatal intensive care units (NICUs) may be jeopardized when required nursing care is missed. This correlational study of missed care in a U.S. NICU sample adds national scope and an important explanatory variable, patient acuity. Using 2016 NICU registered nurse survey responses ( = 5,861) from the National Database of Nursing Quality Indicators, we found that 36% of nurses missed one or more care activities on the past shift. Missed care prevalence varied widely across units. Nurses with higher workloads, higher acuity assignments, or in poor work environments were more likely to miss care. The most common activities missed involved patient comfort and counseling and parent education. Workloads have increased and work environments have deteriorated compared with 8 years ago. Nurses' assignments should account for patient acuity. NICU nurse staffing and work environments warrant attention to reduce missed care and promote optimal infant and family outcomes.
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http://dx.doi.org/10.1177/1077558718806743 | DOI Listing |
Am J Speech Lang Pathol
January 2025
Good Samaritan Medical Center Foundation, Lafayette, CO.
Purpose: The aim of this study was to gauge the impacts of cognitive empathy training experiential learning on traumatic brain injury (TBI) knowledge, awareness, confidence, and empathy in a pilot study of speech-language pathology graduate students.
Method: A descriptive quasi-experimental convergent parallel mixed methods design intervention pilot study (QUAL + QUANT) was conducted with a diverse convenience sample of 19 first- and second-year speech-language pathology graduate students who engaged in a half-day TBI point-of-view simulation. The simulation was co-constructed through a participatory design with those living with TBI based on Kolb's experiential learning model and followed the recommendations for point-of-view simulation ethics.
Blood Transfus
January 2025
PBM Group, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Background And Aims: The importance of risk stratification in patients with chest pain extends beyond diagnosis and immediate treatment. This study sought to evaluate the prognostic value of electrocardiogram feature-based machine learning models to risk-stratify all-cause mortality in those with chest pain.
Methods: This was a prospective observational cohort study of consecutive, non-traumatic patients with chest pain.
J Am Coll Surg
January 2025
Department of Thoracic Surgery. Vanderbilt University Medical Center, 1313 21st Avenue South, Nashville, TN 37232.
Background: Artificial intelligence (AI)-powered platforms may be used to ensure that clinically significant lung nodules receive appropriate management. We studied the impact of a commercially available AI natural language processing tool on detection of clinically significant indeterminate pulmonary nodules (IPNs) based on radiology reports and provision of guideline-consistent care.
Study Design: All computed tomography (CT) scans performed at a single tertiary care center in the outpatient or emergency room setting between 20-Feb-2024 and 20-March-2024 were processed by the AI natural language processing algorithm.
Cureus
December 2024
Faculty of Health Education and Life Sciences, Post-Qualifying Healthcare Practice, Birmingham City University, Birmingham, GBR.
Background: There are no studies investigating missed opportunities for earlier diagnosis in newly/recently detected Type 2 Diabetes Mellitus and Non-alcoholic Fatty Liver Disease in the region of Bihar, India.
Methods: This study is a single-center cross-sectional study undertaken at the Research Centre for Diabetes Hypertension and Obesity, Samastipur, Bihar, India. The study collected data from newly/recently diagnosed persons with T2DM.
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