bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study
Authors: Hendrickx Iris , Voets Tim , van Dyk Pieter , Kool Rudolf B 
Published: May 2021

Background
Regulatory bodies such as health care inspectorates can identify potential patient safety problems in health care providers by analyzing patient complaints. However, it is challenging to analyze the large number of complaints. Text mining techniques may help identify signals of problems with patient safety at health care providers.

Objective
The aim of this study was to explore whether employing text mining techniques on patient complaint databases can help identify potential problems with patient safety at health care providers and automatically predict the severity of patient complaints.

Methods
We performed an exploratory study on the complaints database of the Dutch Health and Youth Care Inspectorate with more than 22,000 written complaints. Severe complaints are defined as those cases where the inspectorate contact point experts deemed it worthy of a triage by the inspectorate, or complaints that led to direct action by the inspectorate. We investigated a range of supervised machine learning techniques to assign a severity label to complaints that can be used to prioritize which incoming complaints need the most attention. We studied several features based on the complaints’ written content, including sentiment analysis, to decide which were helpful for severity prediction. Finally, we showcased how we could combine these severity predictions and automatic keyword analysis on the complaints database and listed health care providers and their organization-specific complaints to determine the average severity of complaints per organization.

Results
A straightforward text classification approach using a bag-of-words feature representation worked best for the severity prediction of complaints. We obtained an accuracy of 87%-93% (2658-2990 of 3319 complaints) on the held-out test set and an F1 score of 45%-51% on the severe complaints. The skewed class distribution led to only reasonable recall (47%-54%) and precision (44%-49%) scores. The use of sentiment analysis for severity prediction was not helpful. By combining the predicted severity outcomes with an automatic keyword analysis, we identified several health care providers that could have patient safety problems.

Conclusions
Text mining techniques for analyzing complaints by civilians can support inspectorates. They can automatically predict the severity of the complaints, or they can be used for keyword analysis. This can help the inspectorate detect potential patient safety problems, or support prioritizing follow-up supervision activities by sorting complaints based on the severity per organization or per sector.
Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study
Authors: Lopez-Morinigo Javier-David , Barrigón María Luisa , Porras-Segovia Alejandro , Ruiz-Ruano Verónica González , Escribano Martínez Adela Sánchez , Escobedo-Aedo Paula Jhoana , Sánchez Alonso Sergio , Mata Iturralde Laura , Muñoz Lorenzo Laura , Artés-Rodríguez Antonio , David Anthony S , Baca-García Enrique 
Published: May 2021

Background
Ecological momentary assessment (EMA) tools appear to be useful interventions for collecting real-time data on patients’ behavior and functioning. However, concerns have been voiced regarding the acceptability of EMA among patients with schizophrenia and the factors influencing EMA acceptability.

Objective
The aim of this study was to investigate the acceptability of a passive smartphone-based EMA app, evidence-based behavior (eB2), among patients with schizophrenia spectrum disorders and the putative variables underlying their acceptance.

Methods
The participants in this study were from an ongoing randomized controlled trial (RCT) of metacognitive training, consisting of outpatients with schizophrenia spectrum disorders (F20-29 of 10th revision of the International Statistical Classification of Diseases and Related Health Problems), aged 18-64 years, none of whom received any financial compensation. Those who consented to installation of the eB2 app (users) were compared with those who did not (nonusers) in sociodemographic, clinical, premorbid adjustment, neurocognitive, psychopathological, insight, and metacognitive variables. A multivariable binary logistic regression tested the influence of the above (independent) variables on “being user versus nonuser” (acceptability), which was the main outcome measure.

Results
Out of the 77 RCT participants, 24 (31%) consented to installing eB2, which remained installed till the end of the study (median follow-up 14.50 weeks) in 14 participants (70%). Users were younger and had a higher education level, better premorbid adjustment, better executive function (according to the Trail Making Test), and higher cognitive insight levels (measured with the Beck Cognitive Insight Scale) than nonusers (univariate analyses) although only age (OR 0.93, 95% CI 0.86-0.99; P=.048) and early adolescence premorbid adjustment (OR 0.75, 95% CI 0.61-0.93; P=.01) survived the multivariable regression model, thus predicting eB2 acceptability.

Conclusions
Acceptability of a passive smartphone-based EMA app among participants with schizophrenia spectrum disorders in this RCT where no participant received financial compensation was, as expected, relatively low, and linked with being young and good premorbid adjustment. Further research should examine how to increase EMA acceptability in patients with schizophrenia spectrum disorders, in particular, older participants and those with poor premorbid adjustment.

Trial Registration
ClinicalTrials.gov NCT04104347; https://clinicaltrials.gov/ct2/show/NCT04104347
Older Patients’ Competence, Preferences, and Attitudes Toward Digital Technology Use: Explorative Study
Authors: Terp Rikke , Kayser Lars , Lindhardt Tove 
Published: May 2021

Background
Malnutrition is prevalent in older patients, which is associated with severe consequences such as a decline in functional status, increased risk of readmission, and increased mortality. A tablet-based eHealth solution (Food‘n’Go) was recently developed and introduced at our clinic to support older patients’ involvement in nutritional interventions during their hospitalization, thereby enhancing their awareness and motivation for choosing the right food to obtain sufficient calorie and protein intake. To reap the full benefits from the eHealth solution, the technology should be introduced and accompanied by support that targets the end users’ competence level and needs.

Objective
In this study, we aimed to explore older patients’ readiness (ie, competence, preferences, and attitudes) toward the use of information and communication technology (ICT), and to identify the factors that may act as barriers or facilitators for their engagement with health technology.

Methods
A descriptive and explorative study was performed using triangulation of data derived from semistructured interviews and questionnaires (based on the Readiness and Enablement Index for Health Technology [READHY] instrument). Older hospitalized patients (age ≥65 years; N=25) were included from two hospitals in Denmark.

Results
The majority (16/25, 64%) of the older patients (median age 81 years) were users of ICT. The qualitative findings revealed that their experiences of benefits related to the use of ICT facilitated usage. Barriers for use of ICT were health-related challenges, limited digital literacy, and low self-efficacy related to ICT use due to age-related prejudices by their relatives and themselves. The qualitative findings were also reflected in the low median scores on the eHealth Literacy Questionnaire (eHLQ) READHY scales within dimensions addressing the user’s knowledge and skills (eHLQ1:1.8; eHLQ3: 2.0), and the user experience (eHLQ6: 2.0; eHLQ7: 1.5).

Conclusions
Older patients are potential users of ICT, but experience a variety of barriers for using eHealth. When introducing older patients to eHealth, it is important to emphasize the possible benefits, and to offer support targeting their knowledge, skills, and motivation.
The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis
Authors: Jong Wesley , Liang Ou Stella , Yang Christopher C 
Published: May 2021

Background
Online health communities (OHCs) provide social support for ongoing health-related problems. COVID-19, the disease caused by SARS-CoV-2, has been an acute and substantial stressor worldwide. The disease and its impact, especially in the beginning phases, left many people with questions about the nature, treatment, and prevention of COVID-19. Unlike typical chronic ailments discussed on OHCs, which are more established, COVID-19, at least at the onset of the pandemic, is distinct in that it lacks a consensus of clinical diagnosis and an existing community foundation.

Objective
The study aims to investigate a newly formed OHC for COVID-19 to determine the topics and types of information exchange as well as the sources of information this community referenced during the early phases of the COVID-19 pandemic in the United States.

Methods
A total of 357 posts from a COVID-19 OHC on the MedHelp platform were annotated according to an open-coding process. Participants’ engagement patterns, topics of posts, and sources of information were quantified.

Results
Participants who offered informational support had a significantly higher percentage of responding more than once than those seeking information (P<.001). Among the information-seeking topics, symptoms and public health practice and psychological impacts were the most frequently discussed, with 26% (17/65) and 15% (10/65) of posts, respectively. Most informational support was expressed through feedback/opinion (181/220, 82.3%). Additionally, the most frequently referenced source of information was news outlets/websites, at 55% (11/20). Governmental websites were referenced less frequently.

Conclusions
The trends of this community could be useful in prioritizing public health responses to address the most common questions asked by the public during crisis communication and in identifying which venue of communication is most effective in reaching a public audience during such times.
Use of a Virtual Reality Simulator for Tendon Repair Training: Randomized Controlled Trial
Authors: Mok Tsz-Ngai , Chen Junyuan , Pan Jinghua , Ming Wai-Kit , He Qiyu , Sin Tat-Hang , Deng Jialin , Li Jieruo , Zha Zhengang 
Published: May 2021

Background
Virtual reality (VR) simulators have become widespread tools for training medical students and residents in medical schools. Students using VR simulators are provided with a 3D human model to observe the details by using multiple senses and they can participate in an environment that is similar to reality.

Objective
The aim of this study was to promote a new approach consisting of a shared and independent study platform for medical orthopedic students, to compare traditional tendon repair training with VR simulation of tendon repair, and to evaluate future applications of VR simulation in the academic medical field.

Methods
In this study, 121 participants were randomly allocated to VR or control groups. The participants in the VR group studied the tendon repair technique via the VR simulator, while the control group followed traditional tendon repair teaching methods. The final assessment for the medical students involved performing tendon repair with the “Kessler tendon repair with 2 interrupted tendon repair knots” (KS) method and the “Bunnell tendon repair with figure 8 tendon repair” (BS) method on a synthetic model. The operative performance was evaluated using the global rating scale.

Results
Of the 121 participants, 117 participants finished the assessment and 4 participants were lost to follow-up. The overall performance (a total score of 35) of the VR group using the KS method and the BS method was significantly higher (P<.001) than that of the control group. Thus, participants who received VR simulator training had a significantly higher score on the global rating scale than those who received traditional tendon repair training (P<.001).

Conclusions
Our study shows that compared with the traditional tendon repair method, the VR simulator for learning tendon suturing resulted in a significant improvement of the medical students in the time in motion, flow of operation, and knowledge of the procedure. Therefore, VR simulator development in the future would most likely be beneficial for medical education and clinical practice.

Trial Registration
Chinese Clinical Trial Registry ChiCTR2100046648; http://www.chictr.org.cn/hvshowproject.aspx?id=90180
MACROLIDE-LINCOSAMIDE-STREPTOGRAMIN B RESISTANCE AMONG STAPHYLOCOCCUS AUREUS IN CHITWAN MEDICAL COLLEGE TEACHING HOSPITAL, NEPAL
Authors: CHAUDHARY NAVIN KUMAR , PIYA RUSAN 
Published: May 2021

Objectives: Staphylococcus aureus is often linked with human infection. Clindamycin is one of the key substitute antimicrobial agents in the treatment of S. aureus, especially in methicillin-resistant S. aureus (MRSA) infections. Inducible macrolide-lincosamide-streptogramin B (iMLS B) resistance is a crucial factor in antimicrobial susceptibility testing. The intention of the research was to identify S. aureus from distinct clinical specimens and investigate the prevalence of inducible clindamycin resistance among them and also study their association with MRSA.
Methods: A descriptive cross-sectional study was accomplished in the Dept. of Microbiology CMC-TH, Nepal from January 2018 to December 2020 with 525 non-repeated S. aureus obtained from a different clinical specimen. Antibiotic susceptibility test was performed by Kirby–Bauer disc diffusion method. MRSA was detected using cefoxitin (30 μg) and results were interpreted as stated by CLSI. “D-Test” was done by applying erythromycin (15 μg) and clindamycin (2 μg) as per CLSI guidelines. Data were analyzed using SPSS IBM version 20.
Results: Among 525 isolates, there were 315 (60.00%) MRSA. Results of D test analysis showed that 280 (53.33%) were MLSB sensitive while 245 (46.67%) were MLSB resistant; where 80 (15.24%) iMLSB with D zone, 100 (19.05%) constitutive MLSB (cMLSB) phenotype, and 65 (12.38%) MS phenotype. Of a total of 80 iMLSB, a significant proportion of 64 (80.00%) was MRSA (p<0.001). All the isolates were sensitive to vancomycin, teicoplanin, and linezolid. The prevalence of both iMLSB and cMLSB was high among MRSA.
Conclusion: In this study, cMLSB phenotype was predominant (19.05%) followed by iMLSB phenotype (15.25%) and then MS phenotype (12.38%). Inducible iMLS B phenotypes, as well as cMLSB, are higher among MRSA. It is advisable to include “D-Test” as a part of regular antibiotic susceptibility testing to detect iMLSB resistance among S. aureus.
PRESCRIPTION AUDITING BASED ON THE WORLD HEALTH ORGANIZATION (WHO) PRESCRIBING INDICATORS IN OUTPATIENT DEPARTMENT OF A TEACHING HOSPITAL IN KERALA
Authors: T H DHANYA , K B SANALKUMAR , M A ANDREWS 
Published: May 2021

Objectives: The objectives of the study were to study the pattern of major drug groups prescribed, assess the Rational Prescription pattern by measuring the WHO Core Prescribing Indicators and to assess the quality of the prescriptions by assessing the legibility of prescription in the outpatient department of a tertiary care hospital.
Methods: It was an analytical cross-sectional study done in hospital pharmacy for a period of 6 months. Approval from Institutional Research Committee and Institutional Ethics Committee was taken before starting the study. Sample size was taken as 1020.
Results: One hundred and twenty prescriptions were analyzed. About 49% prescriptions were of males and 54% of females. Mean age of the patients were 46 years. A total of 3557 medicines were prescribed in 1020 prescriptions. Due to lack of legibility, we were unable to decode 122 medicines out of 3557 medicines prescribed. The dosage forms prescribed were; oral 87.4%, injections 1.4%, inhalational agents 0.4%, and topical agents 10.8%. Average number of medicines per prescription was 3.5. Percentage of medicines prescribed by generic name was 45%. Percentage of antibiotics per prescription was 24.8%. Percentage of injections per prescription was 4.8%. Percentage of medicines prescribed as per NATIONAL essential drugs list (EDL) was 3.2% and as per the WHO EDL was 2.6%. Percentage of fixed dose combinations (FDCs) was 6.5%.
Conclusion: It was evident that polypharmacy was present as indicated by the average number of medicines prescribed. Medicines prescribed by generic name and from Essential Medicine List were less in number. Antibiotics and injections prescribed was in conformity with the WHO recommended values, which means that there was no irrational use of antibiotics and unwanted use of injectables. Percentage of FDCs was 6.5%. Most commonly prescribed drug was Ranitidine as per our study. Hence, as per this study, prescribers did not follow prescribing core indicators of the WHO closely, except for two indicators. The quality of prescriptions with respect to legibility and clarity was found to be optimal.
O processo de construção de blogs por alunos do ensino fundamental
Authors: Lima Luciana de , Loureiro Robson Carlos , Rabelo Hiago Bruno da Silva 
Published: May 2021

Resumo
A pesquisa tem como objetivo analisar de que forma os alunos de 7º ano de instituição de ensino particular utilizam as mídias digitais para a construção de Blog. Pesquisas revelam que os alunos dessa faixa etária apresentam dificuldades no desenvolvimento de Blogs por falta de letramento digital que os permita manipular informações e mídias utilizando esse tipo de recurso. Classificada como pesquisa exploratória qualitativa, utilizou como unidade de análise 23 alunos, subdivididos em 7 grupos no momento do desenvolvimento dos Blogs. Subdividiu-se em três etapas: planejamento, coleta e análise de dados. Na primeira, foram elaborados os instrumentos e preparados os equipamentos para as etapas subsequentes. Na segunda, a coleta foi realizada considerando-se a captação dos conhecimentos prévios dos alunos por meio da aplicação de um questionário de sondagem e os relatórios de observação construídos a partir da produção dos Blogs pelos alunos. Na terceira, a análise de dados ocorreu de forma interpretativa utilizando-se os procedimentos propostos pela Análise Textual Discursiva em cinco fases: unitarização, categorização, descrição, interpretação e argumentação. Identificou-se que os alunos utilizaram o conceito de redes sociais como base para a construção dos Blogs. Apresentaram dificuldades em operar sua interface e compreender sua dinâmica, além de compreender metáforas como o conceito de endereço digital. Pretende-se continuar a investigação ampliando o escopo de alunos dessa faixa etária em contextos de criação e desenvolvimento de Blogs.

Palavras-chave: Tecnologia educacional. Tecnologia e didática. Ensino por computador. Aprendizagem. Ensino fundamental.
Mídias sociais no contexto de escolas de tempo integral
Authors: Rocha Rozane Zaion 
Published: May 2021

RESUMO Esse estudo objetivou analisar como as escolas de tempo integral da rede pública municipal de Curitiba estão valendo-se das mídias sociais como ferramentas de auxílio no processo que envolve a aprendizagem-ensino-aprendizagem. O método misto com delineamento sequencial exploratório foi utilizado nesse estudo. A coleta dos dados se deu através das postagens realizadas nas mídias sociais de 37 escolas de tempo integral do município. Pelas análises das mídias sociais das escolas, se percebeu que tais mídias ainda são pouco exploradas pelas instituições de ensino e, quando o fazem, valem-se de material com baixa qualidade visual, sem descrições, minimizando, muitas vezes, a comunicação dos envolvidos. Também foi possível analisar que as escolas pesquisadas não oportunizam o protagonismo estudantil nas mídias sociais, Facebook. Palavras Chaves: Educação em tempo integral. Mídias sociais. Protagonismo. ABSTRACT The objective of the following paper is to analyze how the city of Curitiba public full-time schools have been using social media as learning-teaching-learning aid tools. The study was performed through an exploratory sequential mixed method. Data were collected through the social media posts of 37 full-time city schools. Through the analysis of schools social medias, it is noticed that such media are still little explored by the educational institutions and, when they do, they use low visual quality material, no descriptions, often minimizing the communication of those involved. In addition, it was possible to analyze that the schools do not offer the student a leading role in social media, Facebook. Keywords: Full-time education. Social media. Leading Role. RESUMEN Este estudio objetivó analizar cómo las escuelas de tiempo completo de la red pública municipal de Curitiba se están valorando de los medios sociales como herramientas de ayuda en el proceso que involucra el aprendizaje-enseñanza-aprendizaje. El método mixto con delineamiento secuencial exploratorio fue utilizado en ese estudio. La recolección de los datos se dio a través de las posturas realizadas en los medios sociales de 37 escuelas de tiempo completo del municipio. Por los análisis de los medios sociales de las escuelas, se percibió que tales medios todavía son poco explorados por las instituciones de enseñanza y, cuando lo hacen, se valen de material con baja calidad visual, sin descripciones, minimizando a menudo la comunicación de los involucrados. También fue posible analizar que las escuelas investigadas no oportunizan el protagonismo estudiantil en los medios sociales, Facebook. Palabras Claves: Educación a tiempo complete. Redes sociales. Papel. DOI: http://dx.doi.org/10.22169/revint.v14i31.1573