Efficient, yet Effective: Improvements in Suicide-related Knowledge, Confidence, and Preparedness after the Deployment of a Brief Online Module on Suicide in a Required MSW Course

2021 ◽  
Vol 41 (4) ◽  
pp. 389-407
Author(s):  
Mary LeCloux
Keyword(s):  
Online Module

An online module to enhance students' use of research resources

2008 ◽  
Author(s):  
Janet Morahan-Martin ◽  
Colleen Anderson ◽  
Eunwook Park
Keyword(s):  
Online Module ◽  
Research Resources ◽  
Use Of Research

The Effect of Online Module Instruction for Improving Reading Comprehension

2020 ◽  
Author(s):  
Endang Sulistianingsih ◽  
Sumartono Sumartono ◽  
Naelatun Nahdiyah
Keyword(s):  
Reading Comprehension ◽  
Online Module

scholarly journals Development and evaluation of an online medication safety module for medical students at a rural teaching hospital: the Winchester District Memorial Hospital

2021 ◽  
Vol 10 (2) ◽  
pp. e001385
Author(s):  
Ali Elbeddini ◽  
Yasamin Tayefehchamani
Keyword(s):  
Online Learning ◽  
Medical Students ◽  
Medication Safety ◽  
Controlled Trial ◽  
Effective Means ◽  
Intervention Group ◽  
Control Group ◽  
Open Label ◽  
Online Module ◽  
Learning Module

ObjectiveTo design, implement and assess an online learning module for third-year and fourth-year medical students addressing medication safety.DesignThis study was a prospective, parallel, open-label, randomised controlled trial with two arms: (1) a control arm in which students were given five articles to read about medication safety, and (2) an intervention arm in which students were given access to an interactive web-based learning module on medication safety. Pretesting and post-testing were done online to evaluate change in medication safety knowledge.ResultsTen students completed the study in the intervention group (online module) and six students completed the study in the control group. The increase in score obtained on the post-test, relative to the pretest, was 15.4% in the group who completed the online module and 2.0% in the control group (difference=13.4%, 95% CI 0.5% to 26.2%, p=0.04).ConclusionStudents who completed an online educational tool about medication safety demonstrated a significantly greater increase in knowledge than those who completed a few readings. Online learning modules can be a convenient and effective means of teaching safe prescribing concepts to medical trainees.

Questions to the article: Predicting Unscheduled Emergency Department Return Visits Among Older Adults (Preprint)

2021 ◽  
Author(s):  
Shu-Chun Kuo ◽  
Tsair-wei Chien ◽  
Willy Chou
Keyword(s):  
Emergency Department ◽  
Decision Tree ◽  
Class Imbalance ◽  
Patient Characteristics ◽  
Small Sample ◽  
Clinical Settings ◽  
Data Set ◽  
Online Module ◽  
Study Results ◽  
Return Visits

UNSTRUCTURED The article published on 28 July 2021 is well-written and of interest, but remains several questions that are required for clarifications, such as (1) the Figure 1 is too complex to release the decision criteria for predicting unscheduled emergency department return visits (EDRVs); (2) the Table 1 with 11 rules is not succinct for readers to capture the core features of the influencing factors on the unscheduled EDRVs, and (3) the decision tree technique using Weka software did not demonstrate an online module that can be implemented in clinical settings. We suggested three ways to improve the study in methods and illustrated examples presented in previous studies using the decision tree technique. In addition, to solve the problem of class imbalance in data should be combined with an MP4 video(or a Multimedia Appendix) to make readers easily replicate similar research in the future. The patient characteristics and variables deposited in Multimedia Appendix 1 are insufficient. A small sample of data (e.g., one-tenth from the 10-fold cross-validation method to randomly partition the data set into ten subsets in the study) should be provided for readers to verify the decision tree that can yield appropriately 76.65% and 76.95% in sensitivity and specificity, respectively, as did in predicting the unscheduled EDRVs. Otherwise, the study results are doubtable.

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