Error Categories Research Articles

A Model for Monitoring Spontaneously Reported Medication Errors Using the Adjuvanted Recombinant Zoster Vaccine as an Example.

A European legislation was put in place for the reporting of medication errors, and guidelines were drafted to help stakeholders in the reporting, evaluation, and, ultimately, minimization of these errors. As part of pharmacovigilance reporting, a proper classification of medication errors is needed. However, this process can be tedious, time-consuming, and resource-intensive. To fulfill this obligation regarding medication errors, we developed an algorithm that classifies the reported errors in an automated way into four categories: potential medication errors, intercepted medication errors, medication errors without harm (i.e., not associated with adverse reaction(s)), and medication errors with harm (i.e., associated with adverse reaction(s)). A fifth category ("conflicting category") was created for reported cases that could not be unambiguously classified as either potential or intercepted medication errors. Our algorithm defines medication error categories based on internationally accepted terminology using the Medical Dictionary for Regulatory Activities (MedDRA®) preferred terms. We present the algorithm and the strengths of this automated way of reporting medication errors. We also give examples of visualizations using spontaneously reported vaccination error data associated with the adjuvanted recombinant zoster vaccine. For this purpose, we used a customized web-based platform that uses visualizations to support safety signal detection. The use of the algorithm facilitates and ensures a consistent way of categorizing medication errors with MedDRA® terms, thereby saving time and resources and avoiding the risk of potential mistakes versus manual classification. This allows further assessment and potential prevention of medication errors. In addition, the algorithm is easy to implement and can be used to categorize medication errors from different databases.

An Error Analysis of 4th Semester College Students’ Translation By Using ATA Standardize Error Making Theory

This research aims to find out the errors occur in students’ translation product, this is a qualitative research and the object of the research is 4th- semester college students. The data was analyzed by using an error category by ATA’s standardized error making. The analysis reveals that the most errors occured on students’ translation are literalness: 258 occurrences (30,71%), misunderstanding: 221 occurrences (26,31%), terminology: 111 occurrences (13,21%), the last omission: 88 occurrences (10,48%), faithfulness: 73 occurrences (8,69%), then the next is grammar: 40 occurrences (4,76%), cohesion: 38 occurrences (4,52%) and the last is syntax: 11 occurrences (1,31%). Based on the research result it can be concluded that students’ knowledge of translation techniques is very limited, that caused errors in translating the text. In translating process, they must master translation techniques to translate certain text. This research will probably give some literature about the errors made by students, so it can be used by the teacher of translation material to give more lesson of translation techniques and give them more exercise in translating certain text. Then for the students, this research can be used as guidance to be more aware of errors that occur in translation process, for another researcher should conduct other research with another point of view.

Būdvardiškųjų žodžių derinimo ryšio įsisavinimas dvikalbystės sąlygomis

While studies on the acquisition of adjective agreement in the Lithuanian language are scarce, some research indicates that children face challenges in understanding morphosyntactic relationships, leading to errors in the use of adjectives and nouns in agreement. Consequently, children may switch less common inflections to more common ones, select declension paradigms based on analogy to other words, and exhibit errors in the grammatical category of gender. The present study investigates adjective agreement in bilingual children. Thirty-five bilingual children residing outside Lithuania completed a task based on a corpus of children’s and child-directed speech. The experimental task aimed to capture the diversity of adjective and noun paradigms. Test choices included, alongside the correct one, a paradigm error (a different paradigm inflection), a number error (a different number in the target paradigm), and a gender error (a different gender in the target paradigm). Results reveal that bilingual children encounter the most difficulty with agreement due to inflectional diversity, involving changes in inflection from unproductive to productive paradigms and copying noun inflections. Agreement errors in gender and number are also associated with paradigm diversity.

Determining Factors For The Accuracy Of Diagnosis Codes Using ICD-10 In Obstetric Cases: Riview Systematics

Medical record coder has complete duties, responsibilities, authority and rights to carry out medical record service activities in health service units. The accuracy of the disease diagnosis code is crucial, the accuracy of the diagnosis code will affect the claim for treatment costs, the allocation of health resources and the accuracy of hospital statistical data. This research systematically reviews articles uses the PRISMA diagram to help sort articles to use, also have criteria: research data is data from Indonesia, uses Indonesian or English, the article was published 2018-2023, the article can be downloaded in full and is not a thesis. This research searched articles through the Google Scholar database, Garuda Portal and Research Gate. As a result of the review of the 7 articles, it is known that inaccurate diagnosis codes in obstetric cases are caused by 7 different factors. The most influential factors are information in MRD (Medical Record Document) is written as unclear or incomplete. The second reason is MRD is not double-checked or inspected and the last is code errors in categories and sub-categories.

Comparing criteria for deviation from hearing aid prescriptive targets in children

Objective To determine if a stricter criterion for paediatric hearing aid fitting for proximity of fit-to-target of <3 dB root-mean-square (RMS) error produces better audibility and outcomes compared to the current <5 dB criterion, and to examine the relationship between aided audibility and RMS error by degree of hearing loss. Design We evaluated the influence of unaided hearing level on the relationship between RMS error and aided audibility. We assessed the effect of RMS error category (<3, 3–5, >5 dB) on aided audibility, speech recognition, expressive vocabulary, and morphosyntax. Study sample The study included 2314 hearing aid verification measurements from 307 children with hearing aids. Results Children who met a <3 dB criterion had higher aided audibility than children who met no criterion (>5 dB error). Results showed no differences in speech recognition or vocabulary by error category, but children with <3 dB error demonstrated better morphosyntax than children with 3–5 and >5 dB RMS error. Conclusions Fittings that are close to prescriptive targets provide a more positive outcome for children with hearing aids. Using probe microphone measures to adjust hearing aids to within 3 dB may benefit language abilities in children.

A Practical Data Extraction, Cleaning, and Integration Method for Structural Condition Assessment of Highway Bridges

The success of regional bridge condition assessment, a crucial component of systematic maintenance strategies, relies heavily on comprehensive, well-structured regional bridge databases. This study proposes the data extraction, cleaning, and integration method for the construction of such databases. First, this research proposes an extraction method tailored for unstructured data often present in inspection reports. Additionally, this paper meticulously outlines a cleaning procedure designed to rectify two distinct categories of typical errors that are present within the inspection data. Subsequently, this study takes a holistic approach by establishing integration rules that harmonize data from various sources, including inspection records, monitoring data, traffic statistics, as well as design and construction blueprints. The architectural framework of the regional bridge information database is then meticulously laid out. To validate and demonstrate the effectiveness of the method, this study applies them to a set of representative highway bridges situated within Shandong Province. The results show that this approach can be used to successfully establish a functional regional bridge database. The database plays a pivotal role in harnessing the latent potential of an extensive range of multi-source information and propels the field of bridge condition assessment forward by providing a solid basis for informed decision making and strategic planning in the realm of infrastructure maintenance.

Frequency and types of pre-analytical errors in a clinical laboratory of a specialized healthcare hospital.

The pre-analytical phase, encompassing all preparatory steps leading to the analytical process, represents a critical stage prone to laboratory errors. An assessment of the occurrence and categories of laboratory errors, specifically within the pre-analytical phase of laboratory procedures, can guide in taking timely actions for rectifying errors responsible for damage and loss of samples. This study aimed to assess the frequency and types of pre-analytical errors within a clinical laboratory at the Multan Institute of Kidney Diseases over two years. This research took place at the Multan Institute of Kidney Diseases. Data was extracted from the hospital laboratory records of the period from 1st January 2021 to 31st December 2022. After data compilation, a retrospective cross-sectional methodology was adopted to assess frequency and types of pre-analytical errors within a clinical laboratory. The records underwent a thorough examination to identify pre-analytical errors, which were classified according to their type and occurrence rate. Among the 254810 specimens received during the data collection period, a total of 1,722 specimens (0.67% of all collected samples) were found unsuitable for further processing. Amongst the rejected specimens, 718 (41.6%) displayed indications of hemolysis, 388 (22.5%) exhibited clotting, 217 (12.6%) had an insufficient volume and the remaining specimens fell into other miscellaneous categories such as insufficient quantity, unlabeled samples etc. The overall percentage of sample rejections in the laboratory was 0.67%. This study provided valuable insights into various reasons, and causes that require improvements to enhance the efficiency and quality of laboratory processes.

Lost in Translation: Examining Translation Errors in Arabic-English Translated Abstracts Published in Gharyan University Journal

Abstracts of research articles should be translated from Arabic into English before being submitted for publication in Libyan academic journals. Because English publishing allows non-native speakers to gain international recognition (Duszak &amp; Lewkowicz, 2008). This study aimed to identify the most typical errors made while translating the Arabic abstracts into English. For this purpose, a corpus of 33 translated abstracts of research articles (RA) were analyzed. They were extracted from 11 issues of the Journal of Gharyan University and were published from 2016 to 2021. The analytical frameworks developed by Popescu (2013) and Laio (2010) were adopted. A preliminary analysis was carried out to develop a new category of translation errors that is appropriate for the current corpus. The results revealed a large number of errors in the translated abstracts. They were translation, stylistic, and linguistic errors. It is suggested that the Journal of Gharyan University should devote more effort to evaluating and polishing the translated abstracts before publishing the articles. If they wish to obtain a worldwide reputation, they should also include translators on the journal's editorial board to translate the Arabic abstracts into English appropriately.

Evaluation of Medication Errors by Prescription Audit at a Tertiary Care Teaching Hospital

Objectives The prescription errors and prescribing fault analysis was assessed, the rationality of the prescriptions was checked, and the medication error was categorized according to the NCC MERP Index. Materials and Methods A cross-sectional, observational study was designed as per STROBE guidelines and conducted for 2 months in the pharmacy stores after approval of the Institutional Review Board. Patients’ written informed consent was taken before getting their prescriptions, and each of the prescriptions procured in this way was photographed for record. The completeness of 320 prescriptions of outpatients of all age groups regarding the details about the doctor and the patient and clinical diagnosis/indication was analyzed. The rationality of prescription was based on WHO core drug use indicators. Descriptive analysis was done by using Microsoft Excel. Results A total of 320 prescriptions were analyzed from eight departments. Information about patients and prescribers was mentioned in 100% of prescriptions. The diagnosis (40%), an indication was written in 195 prescriptions. Instructions for dispensing drugs (89%), instructions to patients (90%), duration of treatment (100%), follow-up visits (19%), and non-pharmacological instructions (13%) were mentioned. In total, 82% of prescriptions were legible. In a total of 1004 drugs, 92% of drugs were prescribed with a generic name, 100% from the essential drug list. The route and frequency of drug administration were mentioned for all drugs. According to NCCMERP, the category of medication errors falls under category B. Conclusion To reduce medication errors, we can implement an electronic system, involve clinical pharmacologists, utilize prescription charts, and organize nationwide workshops on rational prescription writing. We should encourage regular prescription audits and reporting to improve the healthcare system in the country.

Neurodevelopmental outcomes in two cases of artemis deficiency

Background: Severe Combined Immunodeficiency (SCID) is a category of inborn errors of immunity where there is impaired T and B cell development and/or function. Artemis SCID (Art-SCID) is characterized by dysfunctional Artemis protein, which is crucial for V(D)J recombination in T and B cell maturation. Art-SCID is fatal without management, and current definitive treatment involves hematopoietic stem cell transplantation (HSCT) or gene therapy. As the prognosis and survival of SCID patients improves, current research has begun unveiling long-term complications and morbidities. Previous literature has reported neurodevelopmental abnormalities in SCID patients, such as developmental delay and Autism Spectrum Disorder (ASD). However, it remains unknown whether these neurodevelopmental differences are linked to the SCID mutation, an adverse outcome of treatment and hospitalization, or comorbid social isolation and psychosocial challenges. Aims: In this case series, we discuss two cases of Art-SCID which presented with neurodevelopmental deficits following successful HSCT. Results: In both cases, SCID was detected on Newborn Screening (NBS), and Art-SCID was confirmed with genetic testing. Both patients were successfully treated with HSCT at 80 days of life, and followed up clinically well, with robust cell counts. Both patients later presented in toddlerhood with developmental, speech and language delay, however only one patient met diagnostic criteria for ASD. Conclusion: The definitive relationship between SCID, HSCT, and neurodevelopmental outcomes remain unclear, and warrants further study to allow for early intervention. We are currently working with colleagues across the country to further investigate and define this complex relationship. Statement of Novelty: We are investigating the complex relationship between SCID, HSCT, and potential neurodevelopmental outcomes. We present two cases of patients with Artemis SCID who were successfully treated with HSCT, and later presented in toddlerhood with developmental, speech, and language delay.

An Analysis of Causes Related to Human Factors in Maritime Accidents

Safety is the most critical job of any Mariner. Recently, the maritime industry has embedded automated systems onboard ships to reduce workload and improve safety. This study explores several recent marine incidents generated by human errors resulting from improper use of technology and the loss of situational awareness. Accidents within three categories of vessels illustrate findings, small passenger vessels, a container ship, and military vessels, using the official accident reports and agency findings. The results indicate that three categories of errors were identified: competence-based, regulatory-based, and perception-based. By sharing this information, Governments, Educators, Mariners, Admiralty Lawyers, and vessel owners can work together to improve maritime safety. This research article proposes academic Maritime Education and Training (MET) strategies and administrative systems to recognise the deficiencies between human factor errors and digital innovation to prevent such accidents from reoccurrence.

CompreTAP: Feasibility and reliability of a new language comprehension mapping task via preoperative navigated transcranial magnetic stimulation

ObjectiveStimulation-based language mapping approaches that are used pre- and intraoperatively employ predominantly overt language tasks requiring sufficient language production abilities. Yet, these production-based setups are often not feasible in brain tumor patients with severe expressive aphasia. This pilot study evaluated the feasibility and reliability of a newly developed language comprehension task with preoperative navigated transcranial magnetic stimulation (nTMS). MethodsFifteen healthy subjects and six brain tumor patients with severe expressive aphasia unable to perform classic overt naming tasks underwent preoperative nTMS language mapping based on an auditory single-word Comprehension TAsk for Perioperative mapping (CompreTAP). Comprehension was probed by button-press responses to auditory stimuli, hence not requiring overt language responses. Positive comprehension areas were identified when stimulation elicited an incorrect or delayed button press. Error categories, case-wise cortical error rate distribution and inter-rater reliability between two experienced specialists were examined. ResultsOverall, the new setup showed to be feasible. Comprehension-disruptions induced by nTMS manifested in no responses, delayed or hesitant responses, searching behavior or selection of wrong target items across all patients and controls and could be performed even in patients with severe expressive aphasia. The analysis agreement between both specialists was substantial for classifying comprehension-positive and -negative sites. Extensive left-hemispheric individual cortical comprehension sites were identified for all patients. Apart from one case presenting with transient worsening of aphasic symptoms, pre-existing language deficits did not aggravate if results were used for subsequent surgical planning. ConclusionEmploying this new comprehension-based nTMS setup allowed to identify language relevant cortical sites in all healthy subjects and severely aphasic patients who were thus far precluded from classic production-based mapping. This pilot study, moreover, provides first indications that the CompreTAP mapping results may support the preservation of residual language function if used for subsequent surgical planning.

Analisis Kesalahan Berbahasa Indonesia dalam Surat Dinas di Kecamatan Sindangkasih

A letter is a means of conveying information in writing from one party to another. Then there are elements that fall into the category of Indonesian language errors in this letter, namely errors in using letters, errors in writing words, errors in writing punctuation marks, ineffective use of words. Errors in correspondence made by writers do not refer to letter writing standards, based on the letter writers' knowledge and skills regarding grammar and limited letter form. The location of this research is the Sindangkasih sub-district office, Ciamis Regency. The aim is to improve letter writing in agencies because there is a habit where writers only rely on samples without following new rules. The research method used in this research is descriptive analytical method. The sampling carried out was comparing three letters as material for research. The results obtained from the research and analysis on the effectiveness of sentences were six errors from the 3 letters, and in spelling errors there were nine errors from the 3 letters.

Extending Preselected Items Evaluation (PIE) with the ATA (American Translators Association) error categories for objective and targeted translation evaluation

This paper proposes to extend Preselected Items Evaluation (PIE), an item-based analytical method that seeks to provide greater objectivity in translation evaluation, with the error categories of the American Translators Association’s (ATA) Framework for Standardized Error Marking. The aim is to address a shortcoming of PIE, specifically its restriction to the identification of error numbers, disregarding error types. We describe the application of PIE and the ATA Framework for Standardized Error Marking and explain the advantages of combining PIE with the ATA error categories. We also outline the findings of a pilot study using this method and suggest proposals for further research.

The NERLE model–a tool for assessing the quality of intralingual subtitles at live events

AbstractFor many years, the NER model has been used to assess the quality of live subtitles created by respeaking on television. In this article, I present and explore the NERLE model, an adaptation of the NER for use at Live Events (LE). This new setting is a dynamic one. When subtitles created within it were assessed with the NER model, many new categories of error were seen which proved complicated to classify, rendering the regular pathways of analysis offered by the NER model insufficient. Some errors resulted from the new, more complex, workflow and set up required at events and others from the new communicative possibilities that live events offer: audience members and people speaking at events are able to interact with respeakers and react and respond to the subtitles they produce in a way that people in a television programme cannot. This change, combined with the more complex access provision and accuracy assessment that live events entail demand that additional steps are incorporated within the NER model analysis workflow to make it applicable to this setting. The article begins with a review of how the NER model developed within the landscape of subtitle accuracy analysis; next the process involved in using the scoring system of the NER model, as the basis for the NERLE model, is examined; finally, the refinements of the NERLE model are presented and the scoring of a number of scenarios is also discussed. It concludes with suggestions for further exploration and applications of the model.

Nutritional Approach in Selected Inherited Metabolic Cardiac Disorders-A Concise Summary of Available Scientific Evidence.

Inborn errors of metabolism (IMDs) are a group of inherited diseases that manifest themselves through a myriad of signs and symptoms, including structural or functional cardiovascular damage. The therapy of these diseases is currently based on enzyme-replacement therapy, chaperone therapy or the administration of supplements and the establishment of personalized dietary plans. Starting from the major signs identified by the pediatric cardiologist that can indicate the presence of such a metabolic disease-cardiomyopathies, conduction disorders or valvular dysplasias-we tried to paint the portrait of dietary interventions that can improve the course of patients with mitochondrial diseases or lysosomal abnormalities. The choice of the two categories of inborn errors of metabolism is not accidental and reflects the experience and concern of the authors regarding the management of patients with such diagnoses. A ketogenic diet offers promising results in selected cases, although, to date, studies have failed to bring enough evidence to support generalized recommendations. Other diets have been successfully utilized in patients with IMDs, but their specific effect on the cardiac phenotype and function is not yet fully understood. Significant prospective studies are necessary in order to understand and establish which diet best suits every patient depending on the inherited metabolic disorder. The most suitable imagistic monitoring method for the impact of different diets on the cardiovascular system is still under debate, with no protocols yet available. Echocardiography is readily available in most hospital settings and brings important information regarding the impact of diets on the left ventricular parameters. Cardiac MRI (magnetic resonance imaging) could better characterize the cardiac tissue and bring forth both functional and structural information.

PACE Technique to Error Categories: Its Effectiveness in Improving Word Problem Performance in Mathematics among the 7th Grade Students

This research determined the effectiveness of the PACE (Present the error, Analyze the error, Correct the Error, Explain the error) technique in improving the mathematics performance in solving word problems among 7th Grade students in Harnett Central Middle School, North Carolina, USA. The study utilized quasi-experimental research design with a validated researcher-made 7th Grade Mathematics test as the main instrument. The test was administered to 38 students before and after the implementation of the PACE technique. The data collected were treated using frequency counts, means, rates, Newman’s error analysis tool and t-test for dependent means. Before the implementation of the PACE technique, the students had a fair performance in solving word problems. In terms of their errors, transformation was the major error category in proportional relationships, reasoning about equations and inequalities and geometric and measurement reasoning; comprehension in reasoning with rational numbers, probabilistic reasoning and reasoning about population samples and comparing populations; and processing in reasoning about expressions. On the other hand, the students got an outstanding performance after the implementation of the PACE technique. After using the PACE technique, majority of the students had no errors in proportional relationships, reasoning with rational numbers, reasoning about expressions and reasoning about equations and inequalities; encoding errors in probabilistic reasoning and geometric and measurement reasoning; and transformation errors in reasoning about population samples and comparing populations. There was also a significant difference between the level of performance of students before and after using the PACE technique. Reading, comprehension, transformation and encoding are the error categories the PACE technique was most appropriate. And lastly, the PACE-Based 7th Grade Mathematics Workbook is very highly valid.

Error Analysis of Academic Essays of Senior High School Students

Students commit errors in their writing compositions due to their lack of English language proficiency and knowledge of the writing conventions. This study sought to analyze the errors committed by Senior High School (SHS) students of the University of Mindanao in their academic essays. The study utilized Corder’s error analysis to examine 100 academic essays of students. The results revealed that under the categories of errors, mechanics has the most problematic errors with 514 error counts (46.98%), followed by omission with 228 error counts (20.84%), addition with 190 error counts (17.37%), substitution with 153 error counts (13.99%), and permutation with nine error counts (0.82%), the least problematic category. The results further revealed that the SHS students are experiencing difficulties in applying grammatical and writing rules in their academic writing, such as appropriate usage of prepositions, omission and addition of affixations, proper structure of sentences, and substituting elements of sentences. The findings imply that consciousness-raising approaches to teaching grammar be used by teachers in school to improve the students’ knowledge of the English grammar and writing conventions.

Taking Advantage of L2 Errors in EFL Learners’ Written Language Production

This qualitative study investigates the errors committed by Turkish EFL learners and the rate of spelling mistakes to grammar errors in learners’ paragraphs. In order to examine these issues, 19 participants studying at a private high school in Turkey took part in this study. The qualitative data were collected through students’ paragraphs written in English. A content and a descriptive analysis were employed to analyze the data. The grammar errors were categorized as errors of omission, addition, misformation, and double types throughout the scrutiny. The errors were related to various grammatical elements such as verbs, articles, verb inflections, noun inflections, and prepositions. The most frequent error category was omission, and the grammar elements the students errored most were prepositions. The results also showed that the students’ grammar errors were approximately two times more than their spelling mistakes. Given the results of this study, some suggestions for future studies and pedagogical implications were provided.

Using HIPAA (Health Insurance Portability and Accountability Act)-Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study.

Automatic speech recognition (ASR) technology is increasingly being used for transcription in clinical contexts. Although there are numerous transcription services using ASR, few studies have compared the word error rate (WER) between different transcription services among different diagnostic groups in a mental health setting. There has also been little research into the types of words ASR transcriptions mistakenly generate or omit. This study compared the WER of 3 ASR transcription services (Amazon Transcribe [Amazon.com, Inc], Zoom-Otter AI [Zoom Video Communications, Inc], and Whisper [OpenAI Inc]) in interviews across 2 different clinical categories (controls and participants experiencing a variety of mental health conditions). These ASR transcription services were also compared with a commercial human transcription service, Rev (Rev.Com, Inc). Words that were either included or excluded by the error in the transcripts were systematically analyzed by their Linguistic Inquiry and Word Count categories. Participants completed a 1-time research psychiatric interview, which was recorded on a secure server. Transcriptions created by the research team were used as the gold standard from which WER was calculated. The interviewees were categorized into either the control group (n=18) or the mental health condition group (n=47) using the Mini-International Neuropsychiatric Interview. The total sample included 65 participants. Brunner-Munzel tests were used for comparing independent sets, such as the diagnostic groupings, and Wilcoxon signed rank tests were used for correlated samples when comparing the total sample between different transcription services. There were significant differences between each ASR transcription service's WER (P<.001). Amazon Transcribe's output exhibited significantly lower WERs compared with the Zoom-Otter AI's and Whisper's ASR. ASR performances did not significantly differ across the 2 different clinical categories within each service (P>.05). A comparison between the human transcription service output from Rev and the best-performing ASR (Amazon Transcribe) demonstrated a significant difference (P<.001), with Rev having a slightly lower median WER (7.6%, IQR 5.4%-11.35 vs 8.9%, IQR 6.9%-11.6%). Heat maps and spider plots were used to visualize the most common errors in Linguistic Inquiry and Word Count categories, which were found to be within 3 overarching categories: Conversation, Cognition, and Function. Overall, consistent with previous literature, our results suggest that the WER between manual and automated transcription services may be narrowing as ASR services advance. These advances, coupled with decreased cost and time in receiving transcriptions, may make ASR transcriptions a more viable option within health care settings. However, more research is required to determine if errors in specific types of words impact the analysis and usability of these transcriptions, particularly for specific applications and in a variety of populations in terms of clinical diagnosis, literacy level, accent, and cultural origin.