scholarly journals Treatment Patterns and Appropriateness of Antipsychotic Prescriptions in Patients with Schizophrenia

2021 ◽  
Author(s):  
Verónica Gamón ◽  
Isabel Hurtado ◽  
José Salazar-Fraile ◽  
Gabriel Sanfélix-Gimeno
Keyword(s):  
Antipsychotic Medication ◽  
Negative Impact ◽  
Mental Condition ◽  
Comorbid Condition ◽  
Concomitant Treatment ◽  
Maximum Benefit ◽  
Increased Risk ◽  
Wide Range ◽  
Schizophrenic Patients ◽  
High Level

Abstract Schizophrenia is a chronic mental condition presenting a wide range of symptoms. Although this mental disorder has a low prevalence in comparison to other mental conditions, it has a negative impact on social and occupational functioning. This study is aimed to assess the inappropriateness of antipsychotic medication among schizophrenic patients and describe current patterns in the treatment of schizophrenia. A retrospective cohort study was conducted including all patients over the age of 15 with an active diagnosis of schizophrenia and treated with antipsychotics between 2008 and 2013 in the Valencia region. 19,718 patients with a diagnosis of schizophrenia and treated with antipsychotic medication were identified. The main outcome was inappropriateness of the pharmacotherapeutic management, including polypharmacy use: 30.4% of patients received antipsychotic polypharmacy (6.8% were prescribed 3 or more antipsychotics); overdosage: a total of 318 individuals (1.6%) exceeded the maximum daily doses; and use of concomitant psychotropics without an associated diagnosis: 21.5% of patients received psychotropic drugs concomitantly without associated psychiatric diagnoses. Overall, females and those who had a comorbid condition, such as anxiety or depression, were less likely to receive antipsychotic polypharmacy. In contrast, concomitant treatment with other psychoactive drugs, such as antiparkinson drugs, anxiolytics and hypnotics and more visits to mental health hospital increased the risk of polypharmacy use. In conclusion, a high level of inappropriateness has been detected among antipsychotic prescriptions. Practitioners should follow guidelines recommendations whenever possible in order to obtain the maximum benefit of antipsychotic medications without an increased risk of adverse effects in patients.

scholarly journals Treatment patterns and appropriateness of antipsychotic prescriptions in patients with schizophrenia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Verónica Gamón ◽  
Isabel Hurtado ◽  
José Salazar-Fraile ◽  
Gabriel Sanfélix-Gimeno
Keyword(s):  
Negative Impact ◽  
Current Treatment ◽  
Treatment Patterns ◽  
Mental Condition ◽  
Comorbid Condition ◽  
Concomitant Treatment ◽  
Antipsychotic Medications ◽  
Wide Range ◽  
Schizophrenic Patients ◽  
High Level

AbstractSchizophrenia is a chronic mental condition presenting a wide range of symptoms. Although it has a low prevalence compared to other mental conditions, it has a negative impact on social and occupational functions. This study aimed to assess the appropriateness of antipsychotic medications administered to schizophrenic patients and describe current treatment patterns for schizophrenia. A retrospective cohort study was conducted in all patients over the age of 15 with an active diagnosis of schizophrenia and treated with antipsychotics between 2008 and 2013 in the Valencia region. A total of 19,718 patients were eligible for inclusion. The main outcome assessed was inappropriateness of the pharmacotherapeutic management, including polypharmacy use. Altogether, 30.4% of patients received antipsychotic polypharmacy, and 6.8% were prescribed three or more antipsychotics. Overdosage affected 318 individuals (1.6%), and 21.5% used concomitant psychotropics without an associated psychiatric diagnosis. Women and people with a comorbid condition like anxiety or depression were less likely to receive antipsychotic polypharmacy. In contrast, increased polypharmacy was associated with concomitant treatment with other psychoactive drugs, and only in user on maintenance therapy, with more visits to the mental health hospital. Overall, we observed a high level of inappropriateness in antipsychotic prescriptions. Greater adherence to guidelines could maximize the benefits of antipsychotic medications while minimizing risk of adverse effects.

scholarly journals Overview of the Genetic Diversity of African Macrotermes (Termitidae: Macrotermitinae) and Implications for Taxonomy, Ecology and Food Science

Insects ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 518
Author(s):  
Bronwyn Egan ◽  
Zwannda Nethavhani ◽  
Barbara van Asch
Keyword(s):  
Negative Impact ◽  
Phylogenetic Reconstruction ◽  
Morphological Characters ◽  
Food Science ◽  
Cryptic Diversity ◽  
African Species ◽  
Genetic Groups ◽  
Wide Range ◽  
Coi Sequences ◽  
High Level

Macrotermes termites play important ecological roles and are consumed by many communities as a delicacy and dietary complement throughout Africa. However, lack of reliable morphological characters has hampered studies of Macrotermes diversity in a wide range of scientific fields including ecology, phylogenetics and food science. In order to place our preliminary assessment of the diversity of Macrotermes in South Africa in context, we analysed a comprehensive dataset of COI sequences for African species including new and publicly available data. Phylogenetic reconstruction and estimates of genetic divergence showed a high level of incongruity between species names and genetic groups, as well as several instances of cryptic diversity. We identified three main clades and 17 genetic groups in the dataset. We propose that this structure be used as a background for future surveys of Macrotermes diversity in Africa, thus mitigating the negative impact of the present taxonomic uncertainties in the genus. The new specimens collected in Limpopo fell into four distinct genetic groups, suggesting that the region harbours remarkable Macrotermes diversity relative to other African regions surveyed in previous studies. This work shows that African Macrotermes have been understudied across the continent, and that the genus contains cryptic diversity undetectable by classic taxonomy. Furthermore, these results may inform future taxonomic revisions in Macrotermes, thus contributing to advances in termitology.

scholarly journals 131Spatio-temporal analysis to assess health effects of landscape fire smoke: an empirical model

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Adeleh Shirangi ◽  
Alex Xiao ◽  
Emmanuel Ongee ◽  
Ivana Ivánová ◽  
Ashraf Dewan ◽  
...  
Keyword(s):  
Health Care ◽  
Emergency Department ◽  
Cardiovascular Diseases ◽  
Health Effects ◽  
Hospital Admissions ◽  
Temporal Analysis ◽  
Emergency Department Visits ◽  
Increased Risk ◽  
Wide Range ◽  
High Level

Abstract Background Understanding the health effects of smoke from landscape fires (LFs), including wildfires and prescribed burns, is limited due to lack of adequate smoke exposure measures. Methods We used the reported LFs to determine smoke plume shapes from satellite images. Daily remotely sensed fire radiative power, aerosol optical depth, smoke plumes, fire danger rating, venting index and previous day PM 2.5 were then used to estimate smoke-related particulate matter 2.5 (PM2.5). A population based time series design was used to assess associations between smoke-related PM2.5 and selected adverse health outcomes such as hospital admissions, emergency department visits and ambulance callouts. Results We found a significant dose-response relationship between increased smoke-related PM2.5 concentration and 1% to 5% increase for total emergency department attendances and total hospital admissions on the same day and the lag effects of 3 days where the PM2.5 was at medium level (95-98th percentile) and high level ( > =99th percentile) compared to the low level (<95th percentile). There was also 1% to 25% increased risk for individuals who were exposed to high level LF smoke with selected respiratory and cardiovascular diseases in selected health care utilisations. Conclusions Exposure to LF smoke at a high level was spatio-temporally associated with a wide range of adverse respiratory and cardiovascular diseases in selected health care utilisations. Key messages

scholarly journals Impact of the COVID-19 Pandemic on Dermatology Practice Worldwide: Results of a Survey Promoted by the International Dermoscopy Society (IDS)

2021 ◽  
pp. e2021153
Author(s):  
Claudio Conforti ◽  
Aimilios Lallas ◽  
Giuseppe Argenziano ◽  
Caterina Dianzani ◽  
Nicola Di Meo ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Online Survey ◽  
Negative Impact ◽  
Chronic Patients ◽  
Work Activity ◽  
Daily Work ◽  
Skin Manifestations ◽  
Increased Risk ◽  
Wide Range ◽  
The Impact

Introduction: The International Dermoscopy Society (IDS) conducted an online survey to investigate the impact of coronavirus disease 2019 (COVID-19) outbreak on the daily practice of dermatologists working with skin cancer patients, to collect data regarding the frequency of skin manifestations noticed by the members, and to obtain information about the use of teledermatology during the pandemic. Methods: All IDS members were asked to fill in a questionnaire, sent by email. A questionnaire available in English was sent to all IDS members (≈16.0000 members) by email. The questionnaire was anonymous, with a compiling time of less than 5 minutes. The survey was open for 30 days (from April 24, 2020 to May 24, 2020) and it could only be filled out once. Results: Overall, 678 dermatologists responded to the questionnaire; 334 members stated that there has been a reduction of more than 75% in daily work activity during the pandemic, 265 dermatologists worked fewer days per week, and 118 experienced telemedicine for the first time. Acrodermatitis was the most frequently observed skin manifestation (n = 80) followed by urticarial rash (n = 69), morbilliform rash (n = 53) and purpuric manifestation (n = 40). In regard to the role of teledermatology, 565 dermatologists reported an increased number of teleconsultations, and the number of melanomas diagnosed during the pandemic was practically 0 for 385 (56.78%) of respondents. Conclusion: This survey highlights that the outbreak had a negative impact on most dermatology services, with a significant reduction in consultation time spent for chronic patients, and an increased risk of missed melanoma and nonmelanoma skin cancer (NMSC) diagnosis. Moreover, our study confirms earlier findings of a wide range of skin manifestations associated with COVID-19.

scholarly journals Moral hazard in producer organizations - some experiences of an empirical survey

2016 ◽  
Vol 10 (4-5) ◽  
pp. 77-83
Author(s):  
Zoltán Kovács
Keyword(s):  
Moral Hazard ◽  
Direct Effect ◽  
Negative Impact ◽  
Trust Model ◽  
Path Model ◽  
Empirical Survey ◽  
Wide Range ◽  
Negative Effect ◽  
Jel Code ◽  
High Level

A wide range of empirical experiences shows that the performance of Hungarian producer organizations (aka TÉSZ) significantly falls behind the activity observed in the developed Western European countries. Regarding this issue, the present study examines how moral hazard - as one of the possible reasons - influences the producers’ activities in cooperative organizations. Information for the research was collected with the help of a questionnaire survey among the members of PaprikaKert TÉSZ Ltd. A statistical path model has been developed for the research, which assumed that - in addition to a direct effect - moral hazard also affects collaborative activity by eroding trust. The statistical model has been tested both in member-member and members-management relations. The experiences from the survey clearly show that moral hazard exists in the producer organization. According to my results, though its measure cannot be regarded numerically considerable, its negative effect on cooperative activity can be proved with statistical examinations. Its effect can be divided into two aspects: besides a direct effect, an indirect one can also be detected, which means that moral hazard is able to reduce producers’ willingness to cooperate by eroding trust. Moreover, our results have clearly pointed out that moral hazard has a negative impact on member-member and members-management relations to varying degrees and through different mechanisms. In addition to the above tests, the empirical testing of another model called Sholtes trust model has been carried out, too. The validating was successful, so the model - which attributes trust to the faith in the partner’s loyalty and capability - is basically acceptable. The argument says that high-level trust can be observed among partners only when faith both in loyalty and capability is strong enough. The research, however, revealed that the above-mentioned two factors determine it in a different way: regarding trust between members, the faith in capability is more important; while trust towards the management is more determined by faith in loyalty. JEL code: Q12, Q13

scholarly journals A Quantitative Investigation on Awareness of Renewable Energy Building Technology in the United Arab Emirates

2021 ◽  
Vol 13 (12) ◽  
pp. 6665
Author(s):  
Mohammed Albattah ◽  
Daniel Efurosibina Attoye
Keyword(s):  
Renewable Energy ◽  
United Arab Emirates ◽  
Negative Impact ◽  
Quantitative Investigation ◽  
Building Integrated Photovoltaics ◽  
Building Technology ◽  
Wide Range ◽  
Significant Difference ◽  
Occupational Background ◽  
High Level

Sustainability in architecture engages a wide range of considerations in the light of the significant negative impact of buildings on the environment. One aspect of research in this parlance engages the technological and the social dimensions of building innovation, which promote the use of renewable technology as a mitigation strategy. The challenge, however, is that the end-users or building clients do not always have sufficient awareness and information regarding these technologies to guide their decision to accept it. Consequently, the diffusion of said innovations is slow, and the environmental or building problems they were invented to solve persist at the expense of both humanity and the environment. This study, therefore, focuses on a quantitative investigation to ascertain the level of awareness and interest of residents in the United Arab Emirates (UAE) on Building Integrated Photovoltaics (BIPV) as an example of renewable energy-based building technology. In this study, 289 residents participated, following the distribution of a questionnaire to demographically distinct individuals. This distinction was used in the analysis to highlight different groups such as, gender, generations, and occupational background of the respondents. The findings of the study show, firstly, that there is a high level of awareness of BIPV in the sample. The study also shows that comparing awareness with each of these demographic variables produced a second layer of findings. For example, the statistical analysis showed that there is no significant difference between the level of awareness and any of the demographic characteristics of the study participants. However, there is a significant statistical difference (p = 0.000) between awareness and interest in BIPV. In concluding this study, recommendations for further research that elaborates other statistical variables and tests, as well as a follow-up qualitative investigation are planned and outlined for future studies. The findings of this investigation may be of benefit to researchers, policy makers, as well as energy companies and marketing agencies within and outside the region.

The way of value of Correlation of genomic DNA microsatellite loci and live weight of Chukchi reindeer

2020 ◽  
pp. 27-32
Author(s):  
V. Dodokhov ◽  
N. Pavlova ◽  
T. Rumyantseva ◽  
L. Kalashnikova
Keyword(s):  
Microsatellite Markers ◽  
Agricultural Production ◽  
Live Weight ◽  
Biodiversity Loss ◽  
Tribal Community ◽  
High Germination ◽  
Wide Range ◽  
The Mean ◽  
High Level ◽  
Dna Microsatellite

The article presents the genetic characteristic of the Chukchi reindeer breed. The object of the study was of the Chukchi reindeer. In recent years, the number of reindeer of the Chukchi breed has declined sharply. Reduced reindeer numbers could lead to biodiversity loss. The Chukchi breed of deer has good meat qualities, has high germination viability and is adapted in adverse tundra conditions of Yakutia. Herding of the Chukchi breed of deer in Yakutia are engaged only in the Nizhnekolymsky district. There are four generic communities and the largest of which is the agricultural production cooperative of nomadic tribal community «Turvaurgin», which was chosen to assess the genetic processes of breed using microsatellite markers: Rt6, BMS1788, Rt 30, Rt1, Rt9, FCB193, Rt7, BMS745, C 143, Rt24, OheQ, C217, C32, NVHRT16, T40, C276. It was found that microsatellite markers have a wide range of alleles and generally have a high informative value for identifying of genetic differences between animals and groups of animal. The number of identified alleles is one of the indicators of the genetic diversity of the population. The total number of detected alleles was 127. The Chukchi breed of deer is characterized by a high level of heterozygosity, and the random crossing system prevails over inbreeding in the population. On average, there were 7.9 alleles (Na) per locus, and the mean number of effective alleles (Ne) was 4.1. The index of fixation averaged 0.001. The polymorphism index (PIC) ranged from 0.217 to 0.946, with an average of 0.695.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

CRIMINOLOGICAL FEATURES OF CORRUPTION-RELATED CRIMES IN THE FUEL AND ENERGY COMPLEX

2020 ◽  
pp. 23-27
Author(s):  
Сергей Иванович Вележев ◽  
Антон Михайлович Седогин
Keyword(s):  
Legal Protection ◽  
Criminal Activity ◽  
Criminal Cases ◽  
Law Enforcement Agencies ◽  
Energy Complex ◽  
Significant Damage ◽  
Study Results ◽  
Wide Range ◽  
Illegal Activities ◽  
High Level

В представленной статье авторами рассматриваются вопросы уголовно-правовой охраны топливно-энергетического комплекса Российской Федерации от преступных проявлений, в том числе от коррупционной противоправной деятельности должностных лиц. Такие действия причиняют значительный ущерб нормальному функционированию предприятий топливно-энергетического комплекса. Авторами приводятся результаты исследования некоторых криминологических характеристик должностных лиц, совершивших преступления коррупционного характера. Дан анализ причин и условий, способствующих совершению вышеуказанных противоправных действий. Определена типовая модель преступника для данной категории преступлений и его характеристики: в первую очередь, это высокий уровень компетентности, специальное образование и т. д. Авторами отмечается высокий уровень латентной преступности в данной отрасли. Предложены некоторые пути профилактики данной категории правонарушений. Исследование проводилось на основе анализа конкретных уголовных дел, возбужденных следственными органами по результатам оперативно-розыскной деятельности правоохранительных органов. In the article the authors consider the issues of criminal and legal protection of the fuel and energy complex of the Russian Federation from criminal activity including corrupt illegal practices of officials. The authors cite the results of some criminological characteristics study of the fuel and energy complex staff committed corruption crimes. As a result of these illegal actions significant damage is caused to the normal functioning of the fuel and energy enterprises. Such officials` actions determine not only a wide range of other illegal activities, but also lead to public outcry and discredit the industry as a whole. The analysis of the reasons and conditions contributing to the above illegal actions commission is given. A typical model of a criminal for a given crime category and its characteristics are determined. First of all it is a high level competence, special education, etc. A high level of latent crime in this industry is shown. The study results are presented on the example of specific criminal cases initiated by the investigating authorities based on the results of the operation detection activities of law enforcement agencies. Some ways of preventing this category of offenses are proposed.

Tickets for the Inclusive Museum

2020 ◽  
pp. 390-406
Author(s):  
Magda Nikolaraizi ◽  
Charikleia Kanari ◽  
Marc Marschark
Keyword(s):  
Hard Of Hearing ◽  
Learning Experiences ◽  
Learning Needs ◽  
Participatory Learning ◽  
Maximum Benefit ◽  
Wide Range ◽  
The Right ◽  
Physical Features ◽  
And Behavior

In recent years, museums of various kinds have broadened their mission and made systematic efforts to develop a dynamic role in learning by offering a wide range of less formal experiences for individuals with diverse characteristics, including individuals who are deaf or hard-of-hearing (DHH). Despite the worthwhile efforts, in the case of DHH individuals, museums frequently neglect to consider their unique communication, cognitive, cultural, and learning characteristics, thus limiting their access and opportunities for fully experiencing what museums have to offer. This chapter examines the potential for creating accessible museum environments and methods that reflect an understanding of the diverse communication, cognitive, cultural, and learning needs of DHH visitors, all of which enhance their access and participation in the museum activities. The role of the physical features of museum spaces for the access and behavior of DHH visitors is emphasized, together with attention to exhibition methods and the communication and cognitive challenges that need to be considered so DHH visitors can get the maximum benefit. The chapter emphasizes the right of individuals who are DHH to nonformal learning and analyzes how museums could become more accessible to DHH individuals by designing, from the beginning, participatory learning experiences that address their diverse needs.

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