Information Services for Teaching and Learning in the Health Sciences, Human Services and Nursing
Thursday, January 4, 2018
PregSource
PregSource™ is a research project that aims to learn about the pregnancy
experience. Getting information directly from pregnant women about what
they feel, think, do, and experience during pregnancy and after giving
birth can teach us more about pregnancy and how to improve care. How can
you help? Just sign up and answer some questions throughout your
pregnancy. Your answers will help PregSource™ researchers answer the
following and other questions.
Friday, January 6, 2017
Tuesday, November 15, 2016
Yale MeSH Analyzer
The Yale MeSH Analyzer is described by USA in this article.
With the rise in the number of systematic reviews and meta-analyses in the health sciences literature, the need for complex searches to identify articles remains relevant and in demand. These types of searches can be quite time consuming, and tools to help streamline or simplify the process are definitely needed. For example, let’s say you are conducting a systematic review and are in the midst of performing a comprehensive literature search. You have compiled a list of articles on your topic and have played around with your searches enough to have a good idea of what’s out there. However, no matter what you do, a few articles slip through the cracks of your best-constructed search strings. You know the articles exist because you’ve managed to identify them through skill or luck, but they just do not show up in your PubMed searches. Why is that?
There is a new tool that can help with this very issue, called the Yale MeSH Analyzer (http://mesh.med.yale.edu/). Created by Yale University librarians Holly Grossetta Nardini and Lei Wang, the Yale MeSH Analyzer assists in identifying why some articles are missing in search results. It can also help identify additional MeSH (Medical Subject Headings) terms or phrases in titles and abstracts, as well as author assigned keywords. The Yale MeSH Analyzer does this by collecting the necessary metadata to analyze searches, and then creates a grid to visually explain the information to users.
To start, you would enter the PMID number of each article you want to analyze. PMIDs are the unique identifying number assigned to each article record when it enters the PubMed system, and is found at the end of a PubMed citation. You can enter up to 20 PMIDs in the text box, and once you select “Go”, the Yale MeSH Analyzer will retrieve the article(s) metadata from PubMed and present the results in either a HTML or Excel grid format.
A short online tutorial that will walk you through the process is available at library.medicine.yale.edu/tutorials/1559.
From Clista Clanton
BioFeedback Newsletter
http://biomedicallibrary.southalabama.edu/library/?q=bf-110YaleMESH
With the rise in the number of systematic reviews and meta-analyses in the health sciences literature, the need for complex searches to identify articles remains relevant and in demand. These types of searches can be quite time consuming, and tools to help streamline or simplify the process are definitely needed. For example, let’s say you are conducting a systematic review and are in the midst of performing a comprehensive literature search. You have compiled a list of articles on your topic and have played around with your searches enough to have a good idea of what’s out there. However, no matter what you do, a few articles slip through the cracks of your best-constructed search strings. You know the articles exist because you’ve managed to identify them through skill or luck, but they just do not show up in your PubMed searches. Why is that?
There is a new tool that can help with this very issue, called the Yale MeSH Analyzer (http://mesh.med.yale.edu/). Created by Yale University librarians Holly Grossetta Nardini and Lei Wang, the Yale MeSH Analyzer assists in identifying why some articles are missing in search results. It can also help identify additional MeSH (Medical Subject Headings) terms or phrases in titles and abstracts, as well as author assigned keywords. The Yale MeSH Analyzer does this by collecting the necessary metadata to analyze searches, and then creates a grid to visually explain the information to users.
To start, you would enter the PMID number of each article you want to analyze. PMIDs are the unique identifying number assigned to each article record when it enters the PubMed system, and is found at the end of a PubMed citation. You can enter up to 20 PMIDs in the text box, and once you select “Go”, the Yale MeSH Analyzer will retrieve the article(s) metadata from PubMed and present the results in either a HTML or Excel grid format.
A short online tutorial that will walk you through the process is available at library.medicine.yale.edu/tutorials/1559.
From Clista Clanton
BioFeedback Newsletter
http://biomedicallibrary.southalabama.edu/library/?q=bf-110YaleMESH
Tuesday, April 12, 2016
Google patents smart contact lens which detects glucose levels in tears.
The patent, which was discovered by WebProNews,
features a sensor in the lens. Google has previously said that it is
partnering with the pharmaceutical company Novartis to create a smart
contact lens that could monitor blood sugar for people with diabetes.
The lenses contain a tiny sensor that relays data on glucose contained in tears via an equally tiny antenna. In a news release earlier this year, Google described the electronics in the lenses as being "so small they look like bits of glitter" and said the antenna is thinner than human hair.
The lenses contain a tiny sensor that relays data on glucose contained in tears via an equally tiny antenna. In a news release earlier this year, Google described the electronics in the lenses as being "so small they look like bits of glitter" and said the antenna is thinner than human hair.
Thursday, March 17, 2016
CDC issues opioid guidelines for chronic pain
From the MMWR:
Opioids are commonly prescribed for pain. An estimated 20% of patients presenting to physician offices with noncancer pain symptoms or pain-related diagnoses (including acute and chronic pain) receive an opioid prescription (1). In 2012, health care providers wrote 259 million prescriptions for opioid pain medication, enough for every adult in the United States to have a bottle of pills (2). Opioid prescriptions per capita increased 7.3% from 2007 to 2012, with opioid prescribing rates increasing more for family practice, general practice, and internal medicine compared with other specialties (3). Rates of opioid prescribing vary greatly across states in ways that cannot be explained by the underlying health status of the population, highlighting the lack of consensus among clinicians on how to use opioid pain medication (2).
Opioids are commonly prescribed for pain. An estimated 20% of patients presenting to physician offices with noncancer pain symptoms or pain-related diagnoses (including acute and chronic pain) receive an opioid prescription (1). In 2012, health care providers wrote 259 million prescriptions for opioid pain medication, enough for every adult in the United States to have a bottle of pills (2). Opioid prescriptions per capita increased 7.3% from 2007 to 2012, with opioid prescribing rates increasing more for family practice, general practice, and internal medicine compared with other specialties (3). Rates of opioid prescribing vary greatly across states in ways that cannot be explained by the underlying health status of the population, highlighting the lack of consensus among clinicians on how to use opioid pain medication (2).
Friday, March 11, 2016
Consumer Health Information regarding Zika Virus
Go to MEDLine Plus for information about the Zika Virus.
MedlinePlus links to health information from the National Institutes of Health and other federal government agencies. MedlinePlus also links to health information from non-government Web sites
MedlinePlus links to health information from the National Institutes of Health and other federal government agencies. MedlinePlus also links to health information from non-government Web sites
Friday, March 4, 2016
Outreach and Enrollment for Reaching the Medicaid Eligible but Uninsured
As of February 2016, a total of 31 states and the District of Columbia
are moving forward with the ACA Medicaid expansion to adults. While
millions of individuals have gained Medicaid coverage since initial
implementation of the ACA coverage provisions in 2014, an estimated 8.8
million individuals who are eligible for coverage through Medicaid or
the Children’s Health Insurance Program (CHIP) remained uninsured as of
2015.1
These include adults made newly eligible by the expansion as well as
children and adults who were already eligible under pre-ACA rules but
not enrolled. Reaching and enrolling these individuals into coverage
will be one important component of achieving continued coverage gains
moving forward. Moreover, as additional states may take up the expansion
in the future, outreach and enrollment efforts will be key for
achieving successful enrollment as the expansion is implemented. Keeping
eligible individuals enrolled over time through successful renewals of
coverage also will be important for maintaining coverage gains achieved
to date.
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