Medical error reporting

INTRODUCTION: Medication errors are an unnecessary cost to a healthcare system and patients of a country. This review aimed to systematically identify published cost variables used to calculate the cost of medication errors and to explore any updates on findings already known on calculating the cost of medication errors during the past 10 years. METHODS: A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines...

BACKGROUND: Congenital disorders of glycosylation (CDG) are a type of inborn error of metabolism (IEM) resulting from defects in glycan synthesis or failed attachment of glycans to proteins or lipids. One rare type of CDG is caused by homozygous or compound heterozygous loss-of-function variants in mannosidase alpha class 2B member 2 (MAN2B2). To date, only two cases of MAN2B2-CDG have been reported worldwide. METHODS: Trio whole-exome sequencing (Trio-WES) was conducted to screen for candidate variants...

BACKGROUND: The reporting of surgical instrument errors historically relies on cumbersome, non-automated, human-dependent, data entry into a computer database that is not integrated into the electronic medical record. The limitations of these reporting systems make it difficult to accurately estimate the negative impact of surgical instrument errors on operating room efficiencies. We set out to determine the impact of surgical instrument errors on a two-hospital healthcare campus using independent observers trained in the identification of Surgical Instrument Errors...

Advances in plant molecular breeding have resulted in the development of new varieties with superior traits, thus improving the crop germplasm. Breeders can screen a large number of accessions without rigorous and time-consuming phenotyping by marker-assisted selection (MAS). Molecular markers are one of the most imperative tools in plant breeding programmes for MAS to develop new cultivars possessing multiple superior traits. Single nucleotide polymorphisms (SNPs) are ideal for MAS due to their low cost, low genotyping error rates, and reproducibility...

OBJECTIVES: Drug shortages are of increasing concern to worldwide public health. The consequences of drug shortages for patient safety have been little studied, especially from a pharmacovigilance point of view. In this context, the network of French pharmacovigilance centres conducted the CIRUPT study (Conséquences Iatrogènes des RUPTures de stock/iatrogenic consequences of drug shortages) based on a prospective campaign of adverse effects occurring in the context of drug shortage notifications...

OBJECTIVES: To compare medication errors identified at audit and via direct observation with medication errors reported to an incident reporting system at paediatric hospitals and to investigate differences in types and severity of errors detected and reported by staff. METHODS: This is a comparison study at two tertiary referral paediatric hospitals between 2016 and 2020 in Australia. Prescribing errors were identified from a medication chart audit of 7785 patient records...

AIM: Hypertension and diabetes mellitus (DM) are major causes of morbidity and mortality, with growing burdens in low-income countries where they are underdiagnosed and undertreated. Advances in machine learning may provide opportunities to enhance diagnostics in settings with limited medical infrastructure. MATERIALS AND METHODS: A non-interventional study was conducted to develop and validate a machine learning algorithm to estimate cardiovascular clinical and laboratory parameters...

OBJECTIVES: The destruction of red cells during blood collection or with the processing of the sample continues to occur at a high rate, especially among emergency department (ED) patients. This can produce pre-analytical laboratory errors, particularly for potassium. We determined the incidence of hemolyzed samples and discuss the potential medical impact for hypokalemic patients who potassium level is artificially normal (pseudoeukalemia). METHODS: Potassium results were obtained for a 6-month period...

Cushing's disease (CD) is the most common cause of endogenous hypercortisolism. Osilodrostat was demonstrated to be efficient in treating CD, and the mean average dose required for CD control was <11 mg/day. Potential differences in osilodrostat treatment between cortisol-producing adenoma (CPA) and CD have not been reported. The aim of this study was to present two patients with CPA in whom significant differences in the response to therapy compared to CD were found. We demonstrated a case of inverse response of cortisol levels with adrenal tumor progression during the initial dose escalation (Case 1)...

BACKGROUND: Patient safety is the major concern in providing quality care. Medication errors have been identified as the most common type of preventable errors. This study aimed to assess the knowledge and perception regarding medication error among nurses. METHODS: A quantitative cross-sectional research design was used. The study was conducted in four different private hospitals in Lalitpur. A total enumerative sampling technique was used to select 302 nurses from these hospitals...

BACKGROUND: Emergency medical service (EMS) workers face challenging working conditions that are characterized by high stress and a susceptibility to making errors. The objectives of the present study were (a) to characterize the psychosocial working conditions of EMS workers, (b) to describe the perceived quality of patient care they provide and patient safety, and (c) to investigate for the first time among EMS workers associations of psychosocial working conditions with the quality of patient care and patient safety...

OBJECTIVE: To identify the patient reported outcome measures (PROMs) used in clinical trials assessing interventions for chronic pain, describe their psychometric properties and the clinical domains they cover. STUDY DESIGN AND SETTING: We identified phase 3 or 4 interventional trials on adult participants (age >18) registered in clinicaltrials.gov between January 1, 2021 to December 31, 2022 and which provided "chronic pain" as a keyword condition. We excluded diagnostic studies and phase 1 or 2 trials...

Effective diagnosis, prognostication, and management of CNS malignancies traditionally involves invasive brain biopsies that pose significant risk to the patient. Sampling and molecular profiling of cerebrospinal fluid (CSF) is a safer, rapid, and noninvasive alternative that offers a snapshot of the intracranial milieu while overcoming the challenge of sampling error that plagues conventional brain biopsy. Although numerous biomarkers have been identified, translational challenges remain, and standardization of protocols is necessary...

BACKGROUND: The continuous monitoring and recording of patients' pain status is a major problem in current research on postoperative pain management. In the large number of original or review articles focusing on different approaches for pain assessment, many researchers have investigated how computer vision (CV) can help by capturing facial expressions. However, there is a lack of proper comparison of results between studies to identify current research gaps. OBJECTIVE: The purpose of this systematic review and meta-analysis was to investigate the diagnostic performance of artificial intelligence models for multilevel pain assessment from facial images...

BACKGROUND: Since 2022, it has been mandatory in Québec to report all incidents and accidents (I&As) occurring in health-care facilities. Since 2011, a summary report of these I&As has been published each year. However, it is difficult to compare health facilities given that no denominator is specified and ratios are not calculated. OBJECTIVE: The primary objective was to calculate the ratios of total I&As and medication-related I&As per 1000 inpatient-days per type of facility for all health-care facilities in Québec...

Using deep learning has demonstrated significant potential in making informed decisions based on clinical evidence. In this study, we deal with optimizing medication and quantitatively present the role of deep learning in predicting the medication dosage for patients with Parkinson's disease (PD). The proposed method is based on recurrent neural networks (RNNs) and tries to predict the dosage of five critical medication types for PD, including levodopa, dopamine agonists, monoamine oxidase-B inhibitors, catechol-O-methyltransferase inhibitors, and amantadine...

An increasing number of artificial intelligence (AI) tools are moving towards the clinical realm in histopathology and across medicine. The introduction of such tools will bring several benefits to diagnostic specialities, namely increased diagnostic accuracy and efficiency, however, as no AI tool is infallible, their use will inevitably introduce novel errors. These errors made by AI tools are, most fundamentally, misclassifications made by a computational algorithm. Understanding of how these translate into clinical impact on patients is often lacking, meaning true reporting of AI tool safety is incomplete...

BACKGROUND: Cognitive bias negatively affects patient outcomes, resulting in medical errors, sentinel events, and legal claims. The brunt of bias-induced inequities and disparities has fallen on Black and Brown people, women, and the LGBTQ+ communities. Faculty training programs have rapidly increased in number, whereas student training has lagged. METHOD: A three-part curricular series was developed for students seeking nurse practitioner (NP) training. The series addressed racial bias, microaggression, and gender bias using vignettes and guided pre- and debriefing...

BACKGROUND: Few gamified cognitive tasks are subjected to rigorous examination of psychometric properties, despite their use in experimental and clinical settings. Even small manipulations to cognitive tasks require extensive research to understand their effects. OBJECTIVE: This study aims to investigate how game elements can affect the reliability of scores on a Stroop task. We specifically investigated performance consistency within and across sessions. METHODS: We created 2 versions of the Stroop task, with and without game elements, and then tested each task with participants at 2 time points...

L. Cao, S. Zhou, X. Qiu, and S. Qiu, "Trehalose improves palmitic acid-induced apoptosis of osteoblasts by regulating SIRT3-medicated autophagy via the AMPK/mTOR/ULK1 pathway," The FASEB Journal 36, no. 9 (2022): e22491, https://faseb.onlinelibrary.wiley.com/doi/10.1096/fj.202200608RR. The above article, published online on 10th August 2022, on Wiley Online Library, in Volume 36, Issue 9, has been retracted by agreement between the Federation of American Societies for Experimental Biology, the Editor-in-Chief Loren Wold, the authors, Lili Cao, Siming Zhou, Xueshan Qiu, Shui Qiu, and Wiley Periodicals LLC...