PubMed
About PubMed:
PubMed comprises
more than 24 million citations for biomedical literature from MEDLINE, life
science journals, and online books.1
It is considered the largest biomedical research and clinical
health sciences, behavioral sciences, chemical and bioengineering database in over
30 languages, with full text scholarly peer-reviewed books, dissertations,
and software.2 In addition to its
scholarly content, it includes some limited popular information from over 5,600
journals.
Search Query: - Is there a correlation between students that are identified as having a learning disability and the high school dropout rate?
I began my search in this database by searching for the best
subject heading terms found in MeSH for the following terms: high school dropout rate and learning
disability. Not surprisingly, I learned
that MeSH does not contain a subject heading for high school dropout rate. The term “dropout rate” in this database
tends to focus on the number of test subjects who dropout of clinical studies
before the end of the trial period. I
also learned from this exercise that the major subject heading for learning
disability is learning disorder. However,
the term learning disability is index. Due
to my inexperience with this database, I used the database advanced search
field to help guide my search. I found my terms
in PubMed advanced search builder > show index list. After some trial and errors, I conducted my
first search using the following facet sets:
- Set 1 = "learning disabilities research"[All Fields]
- Set 2 = "learning disordered students"[All Fields]
- Set 3 = "learning disabilities classroom"[All Fields]
- Hits = "learning disabilities research"[All Fields] OR "learning disordered students"[All Fields] OR "learning disabilities classroom"[All Fields]
I was unable to access this article because it is not available for free on this database.
Second Search:
- Set 1 = learning disorder/therapy
- Hits = "learning disorders/therapy"[Mesh Terms] AND ("loattrfree full text"[sb] AND ("2012/01/01"[PDAT] : "2014/12/31"[PDAT]) AND "humans"[MeSH Terms])
The results yield 52 hits.
This result list was very interesting.
Several of the articles addressed clinical trials of the positive effects that
playing video games can have on dyslexia.
More importantly, several articles addressed how using two color filters in special glasses can help some children overcome
reading problems that are often caused by visual disturbance.
The most relevant article to my original query was about an assessment
of Response To Intervention (RTI), which is the educational policy used to
identify, monitor and help students with learning disabilities.
What I learned: Content
The greatest
accomplishment of the Response to Intervention model (RTI) is the dramatic
increase in relying on standardized screening to identify students at risk for
reading and math difficulties, as well as, the improvements of these screening tests. There has also been a noticeable improvement
in the progress monitoring phase of the RTI model.
A second generation of reading passages has been developed and is being
used to access student reading progress.
Ultimately, the success of the RTI model falls within the degree to
which the teachers are able to successfully differentiate instruction in their
classrooms. Effective implementation of differentiated instruction is
challenging for even the most accomplished teacher. Thus, it does not appear that the RTI model
is addressing the special needs of this special population of students. It is however, successfully meeting the needs
of students in the general population who require some additional support in
reading and math instruction. This
article concludes that teachers will need to receive specialized training to
effectively address the needs of this population of students, and that this
training will have to be continuous. What I learned: Searching
The design of PubMed is unfamiliar;
it does not mimic the look and feel of mainstream search engines. Thus, this is not a database that is intended
to be used by inexperienced searchers. Its
advanced search interface does effectively help a searcher to compose a Boolean
statement, even if the searcher is already familiar with the implementation of the
Boolean terms; AND, OR and NOT. Additionally,
the searcher has to be familiar with identifying relevant subject headings contained
within its controlled vocabulary.
That said like most databases
the left column of the result page contains key features for refining the
search results. One of the most
interesting filters is the species filter (humans vs. other animals). This filter is clearly unique to medical
research.
Reflection: Clearly
this database specializes in medical articles therefore to the degree to which
my search topic is a medically relevant topic determines the degree to which
this database is relevant to my research.
I learned that this database contains an interesting variety of articles on the
causes and medical treatments of specific learning disabilities such as,
dyslexia. I believe that it is unlikely
that I would have found the articles that talk about the effectiveness of two-colored
filter systems for treating visual reading difficulties, outside of a medical
journal. These articles helped me to
realize that some of the learning disabilities have physiological components
that are medically treatable. These
treatments can help some students to overcome/manage their disabilities thus improving
their chances of graduating from high school.
Reference List:
1. “PubMed.”
National Center for Biotechnology Information. Accessed on October
7, 2014. http://www.ncbi.nlm.nih.gov/pubmed/
2.
“Databases
A-Z List.” Texas Woman’s University. Accessed October 8, 2014.
http://www.twu.edu/library/databases-descriptions-a.asp
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