Introduction: Dosing errors by caregivers are common and often are directly attributed to poorly designed instructions. The purpose of this study was to assess whether instruction wording--that is, implicit versus explicit dosage intervals--was associated with participants' ability to describe and correctly measure a dose of a commonly prescribed liquid pediatric prescription medication.
Methods: English-speaking women (N = 193) of child-bearing age were recruited to participate in this study from an outpatient residency clinic in the southeastern United States. Based on a priori randomization, each participant was presented with one of two medication bottles that were identical except for the instructions: (1) "shake liquid well and give (child's name) 6 ML by mouth every 12 hours" ("implicit" dosage interval)," or (2) "shake liquid well and give (child's name) 6 ML by mouth at 7 AM and 7 PM" ("explicit" dosage interval). Participants completed a structured interview to assess sociodemographic characteristics, health literacy skills, ability to describe and demonstrate the dosage of the liquid medication, and preferences for label format.
Results: Seventy-two participants (37.3%) were able to correctly describe how they would give the medicine to a child during a 24-hour period, while 145 women (75.1%) were able to correctly demonstrate how they would give one dose of the medication. Approximately one third of participants (32.1%) were able to correctly describe and measure a dose of the medication. Slightly more than half of participants (n = 103, 53.4%) indicated that they would prefer instructions with "explicit" dosage intervals.
Discussion: This study suggests that few people can accurately describe how liquid medications are to be administered, while more people can demonstrate the correct dose to be administered.
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http://dx.doi.org/10.1016/j.pedhc.2011.06.006 | DOI Listing |
Cureus
January 2025
General Practice, Wad Medani Hospital, Wad Medani, SDN.
To enhance patient outcomes in pediatric cancer, a better understanding of the medical and biological risk variables is required. With the growing amount of data accessible to research in pediatric cancer, machine learning (ML) is a form of algorithmic inference from sophisticated statistical techniques. In addition to highlighting developments and prospects in the field, the objective of this systematic study was to methodically describe the state of ML in pediatric oncology.
View Article and Find Full Text PDFCancer Med
January 2025
Clinical Research Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Background: 7-Hydroxymethotrexate (7-OHMTX) is the main metabolite in plasma following high-dose MTX (HD-MTX), which may result in activity and toxicity of the MTX. Moreover, 7-OHMTX could produce crystalline-like deposits within the renal tubules under acidic conditions or induce renal inflammation, oxidative stress, and cell apoptosis through various signaling pathways, ultimately leading to kidney damage. The objectives of this study were thus to explore the exposure-safety relationship of two compounds and search the most reliable marker for predicting HDMTX nephrotoxicity.
View Article and Find Full Text PDFPediatr Nephrol
January 2025
for the CKiD Study Investigators and the NIDDK CKD Biomarkers Consortium, 3500 Civic Center Boulevard, Philadelphia, PA, 19041, USA.
Background: The gut-kidney axis is implicated in chronic kidney disease (CKD) morbidity. We describe how a panel of gut microbiome-derived toxins relates to kidney function and neurocognitive outcomes in children with CKD, consisting of indoleacetate, 3-indoxylsulfate, p-cresol glucuronide, p-cresol sulfate, and phenylacetylglutamine.
Methods: The Chronic Kidney Disease in Children (CKiD) cohort is a North American multicenter prospective cohort that enrolled children aged 6 months to 16 years with estimated glomerular filtration rate (eGFR) 30-89 ml/min/1.
Neural Regen Res
January 2025
Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA (Sabunciyan S).
Respir Res
January 2025
Department of Pediatrics, David Geffen School of Medicine, UCLA Children's Discovery and Innovation Institute, Mattel Children's Hospital UCLA, UCLA, Los Angeles, CA, 90095, USA.
Background: Many respiratory viruses attack the airway epithelium and cause a wide spectrum of diseases for which we have limited therapies. To date, a few primary human stem cell-based models of the proximal airway have been reported for drug discovery but scaling them up to a higher throughput platform remains a significant challenge. As a result, most of the drug screening assays for respiratory viruses are performed on commercial cell line-based 2D cultures that provide limited translational ability.
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