scholarly journals An exploratory study on needs for clinical research training: data from Chinese hospitals

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Liu ◽  
Wei Huang ◽  
Chang Liu ◽  
Pei Li ◽  
Jing Chen
Keyword(s):  
Clinical Research ◽  
Data Management ◽  
Research Training ◽  
Preliminary Investigation ◽  
Training Data ◽  
Grant Writing ◽  
Full Time ◽  
Online Questionnaire ◽  
Systematic Training ◽  
Data Statistics

Abstract Objective Through preliminary investigation of needs for clinical research training, to provide some initial evidence for design and operation of clinical research training programs in China. Methods An online questionnaire containing 23 questions about demographics, current practice of clinical research and needs for clinical research training was formulated to collect data from physicians and researchers in hospital. Convenience sampling was adopted. Results A total of 600 valid questionnaires were collected, including 507 from physicians, 58 from full-time clinical researchers and 35 from full-time basic medical researchers. Results showed that 14 % of the participants never participated in any clinical research, difficulties in data statistics were reported by more than 70 % of participants, and over 50 % reported training needs for cohort and biobank construction, data management and clinical study design. As to the training form, a combined on-line lecture with off-line communication is preferred. As for the content of the training program, strategies for literature reading and grant writing are highly demanded. Conclusions In China, even physicians in top hospitals tend to encounter various difficulties when conducting clinical research. This study highlights the importance of systematic training for future physician scientists in China, with a particular focus on data statistics, cohort and biobank construction and data management.

scholarly journals Relationships between Physical and Social Behavioural Changes and the Mental Status of Homebound Residents in Hong Kong during the COVID-19 Pandemic

2020 ◽  
Vol 17 (18) ◽  
pp. 6653
Author(s):  
Ben Y. F. Fong ◽  
Martin C. S. Wong ◽  
Vincent T. S. Law ◽  
Man Fung Lo ◽  
Tommy K. C. Ng ◽  
...  
Keyword(s):  
Mental Health ◽  
Hong Kong ◽  
Physical Health ◽  
Negative Impact ◽  
Severe Depression ◽  
Social Contact ◽  
Well Being ◽  
Full Time ◽  
Online Questionnaire ◽  
Physical Strain

In Hong Kong, social distancing has been adopted in order to minimise the spread of COVID-19. This study aims to examine the changes in physical health, mental health, and social well-being experienced by local residents who were homebound during the pandemic. An online questionnaire in both Chinese and English versions was completed by 590 eligible participants from 24 April to 13 May 2020. The questionnaire found that individuals aged 18 to 25 years spent more time resting and relaxing but experienced more physical strain. Working status was associated with social contact, with participants working full-time jobs scoring higher in “maintaining social communication via electronic means” and “avoiding social activities outside the home”. Additionally, approximately one third of the participants (29.7%) had moderate to severe depression, and participants aged 18 to 25 were found to have higher scores in PHQ-9. Changes in physical health and social contact were significantly associated with developing depressive symptoms. From the results, it is clear that the COVID-19 pandemic has the potential to exert a negative impact on the mental health status of individuals.

scholarly journals Primary care doctor fostering and clinical research training in Sweden: Implications for Japan

2018 ◽  
Vol 20 (1) ◽  
pp. 4-8 ◽  
Author(s):  
Takashi Watari ◽  
Masahiro Hirose ◽  
Patrik Midlöv ◽  
Yasuharu Tokuda ◽  
Hideyuki Kanda ◽  
...  
Keyword(s):  
Primary Care ◽  
Clinical Research ◽  
Research Training ◽  
Primary Care Doctor

scholarly journals Digital tools in the formation of physical culture values in the higher education system

2021 ◽  
Vol 113 ◽  
pp. 00027
Author(s):  
M.I. Bolotova ◽  
M.A. Ermakova ◽  
S.S. Korovin
Keyword(s):  
Digital Technologies ◽  
Digital Tools ◽  
Theoretical Research ◽  
Physical Culture ◽  
Full Time ◽  
Online Questionnaire ◽  
Higher Education System ◽  
Physiological Indicators ◽  
Pedagogical Innovations ◽  
Medical University

The article discusses and describes theoretical research and practical results of using digital technologies in formation of values of physical culture in the medical university. The experiment involved 1569 young men and women of full-time education form of the Orenburg State Medical University. To collect statistics in the context of a pandemic were used the online questionnaire and interview method. The respondents developed basic digital skills in use of various digital tools that allow them to monitor the physiological indicators. There was observed an increase in the level of motor activity in groups of students during online classes using educational platforms. There was discovered a positive dynamics in the orientation of the student's personality to health as a value. Thus the systematic implementation of digital technologies in the teaching of disciplines (modules) in physical culture and sports contributed personification of the learning process, visualization of environments for the training process, enlargement of forms of physical and recreation activities, introduction of platform solutions as a space for pedagogical innovations.

Glean

2021 ◽  
Vol 14 (6) ◽  
pp. 997-1005
Author(s):  
Sandeep Tata ◽  
Navneet Potti ◽  
James B. Wendt ◽  
Lauro Beltrão Costa ◽  
Marc Najork ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Management ◽  
Real World ◽  
Empirical Studies ◽  
Ground Truth ◽  
Training Data ◽  
Ground Truth Data ◽  
Document Type ◽  
Machine Learning Model ◽  
Structured Information

Extracting structured information from templatic documents is an important problem with the potential to automate many real-world business workflows such as payment, procurement, and payroll. The core challenge is that such documents can be laid out in virtually infinitely different ways. A good solution to this problem is one that generalizes well not only to known templates such as invoices from a known vendor, but also to unseen ones. We developed a system called Glean to tackle this problem. Given a target schema for a document type and some labeled documents of that type, Glean uses machine learning to automatically extract structured information from other documents of that type. In this paper, we describe the overall architecture of Glean, and discuss three key data management challenges : 1) managing the quality of ground truth data, 2) generating training data for the machine learning model using labeled documents, and 3) building tools that help a developer rapidly build and improve a model for a given document type. Through empirical studies on a real-world dataset, we show that these data management techniques allow us to train a model that is over 5 F1 points better than the exact same model architecture without the techniques we describe. We argue that for such information-extraction problems, designing abstractions that carefully manage the training data is at least as important as choosing a good model architecture.

Research Data Management Services in Tertiary Institutions in Zimbabwe

2021 ◽  
pp. 419-437
Author(s):  
Josiline Phiri Chigwada
Keyword(s):  
Data Management ◽  
Research Data ◽  
Management Policy ◽  
Online Questionnaire ◽  
Tertiary Institutions ◽  
Data Services ◽  
Security Issues ◽  
Research Data Management ◽  
Survey Monkey ◽  
Management Services

The chapter seeks to analyze how librarians in Zimbabwe are responding to increasing librarian roles in the provision of research data services. The study sought to ascertain librarians' awareness and preparedness to offer research data management services at their institutions and determine support required by librarians to effectively deliver research data services. Participants were invited to respond to the survey, and survey monkey was used to administer the online questionnaire. The collected data was analyzed using content analysis, and it was thematically presented. Findings revealed that librarians in Zimbabwe are aware of their role in research data management, but the majority are not prepared to offer research data management services due to a lack of the required skills and resources. Challenges that were noted include lack of research data management policy at institutional levels and information technology issues such as obsolescence and security issues.

scholarly journals Teaching Statistics to Physicians using Stata

2005 ◽  
Vol 5 (2) ◽  
pp. 248-258
Author(s):  
Susan M. Hailpern
Keyword(s):  
Clinical Research ◽  
Research Training ◽  
Albert Einstein College ◽  
Albert Einstein ◽  
Research Data ◽  
First Semester ◽  
Master Of Science ◽  
Science Degree ◽  
Research Training Program ◽  
Yeshiva University

The Clinical Research Training Program (CRTP) at the Albert Einstein College of Medicine at Yeshiva University is a two-year program for physicians leading to a Master of Science degree in Clinical Research Methods. Beginning in July 2004, the program began teaching data analysis using Stata 8 in order to better meet the advanced statistical needs of the students. This paper details the structure and content of the course, how Stata was introduced, and the problems we encountered. Student comments and suggestions on future enhancements to Stata are included. Although challenging, our first semester teaching Stata was a success: the students all learned Stata and, more importantly, continued to use it for the analysis of their own research data after the course was complete.

scholarly journals Students’ perceptions of a food safety and quality e-learning course: a CASE study for a MSC in food consumption

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Paula Vaz-Fernandes ◽  
Sandra Caeiro
Keyword(s):  
Food Safety ◽  
Group Discussion ◽  
Professional Activity ◽  
Full Time ◽  
Online Questionnaire ◽  
Master Program ◽  
Case Study Methodology ◽  
E Learning ◽  
Food Safety And Quality

Abstract Life long training and education in food safety is a crucial issue in particular for professionals working in the field. At the same time there is a need to evaluate the effectiveness of that training in particular when is given in e-learning. The purpose of this explorative work is to evaluate the Food Safety and Quality e-learning course within a Master program offered in the National Distance Learning University in Portugal. Following a case study methodology a mixed methods approached was used, based on an online questionnaire survey to students that enrolled the course, followed by a Focus Group Discussion to better discuss the weak points addressed by the students in the questionnaire. The questionnaire aimed to assess students perceptions about the course organization, recourses, assignments, acquired competences, change attitudes and behaviour and link with the professional activity Students who enrolled the course during 2016/17 and 2017/18 were surveyed in the fourth semester of the curricular year, in the period of development of the master thesis dissertation. In addition a quantitative analysis was conducted in the temporal distributions of messages published on the Moodle platform (learning analytics) to evaluate students’ interactions and engagement during the course. This study has shown that overall, students are very satisfied with the course, however they suggested improvements that are needed considering the pedagogical model used and their availability to learn as students with full time jobs, most related with the food science. This explorative research aimed to contribute to the improvement of food safety and quality training based also on recent tools and recommendations within e-learning in science education.

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