Mulford Extended Hours – May 14, 21, and 28 [2016]

The Mulford Library will be open until 10pm (an additional hour)
on Satudays May 14, 21, and 28 [2016].

Please note the regular hours at


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Exam Week Hours – Friday April 29 through Thursday May 5

Exam Week Hours – Friday April 29 through Thursday May 5

Friday April 29         7:30 am to 10pm
Saturday April 29    9:00 am to 10pm
Sunday May 1        9:00 am to 1am
Monday May 2        7:30 am to 1am
Tuesday May 3       7:30 am to 1am
Wednesday May 4  7:30 am to 1 am
Thursday May 5      7:30 am to 1 am


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Cochrane Database of Systematic Reviews has new improved interface for readability and naviagation

The Cochrane Database of Systematic Reviews (CDSR) is a great place for systematic reviews in health care.( Most are indexed with full text at PubMed@UT)  The CDSR includes Cochrane Reviews (the systematic reviews**) and protocols for Cochrane Reviews as well as editorials.

** For more information on systematic reviews, please see the UT LIbrary Guide Systematic Reviews

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Minority Health Month kicks off with free health fair tomorrrow at the The Toledo-Lucas County Health Department (resource links included here for all)

From the 3/31/16 edition of The Blade

The Toledo-Lucas County Health Department is holding a free health fair from 8 a.m. to 3 p.m. Friday at its downtown clinic, 635 N. Erie St., to kick off Minority Health Month.


The event will feature free walk-in clinical services including physicals, eye exams, hearing exams, immunizations, and dental exams for children and adults.

Minority Health Month is a 30-day wellness campaign that features hundreds of events in Lucas County and across the state. Created in 1989 by the Ohio Commission on Minority Health, it gained national recognition in 2000.

There also will be a free Minority Health Summit, 11 a.m. to 3 p.m. on April 16 at Robinson Elementary School, 1075 Horace St. Free medical screenings, Medicaid enrollment, and educational materials will be available.


Selected Related Resources
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JSTOR: Data for Research


DataForResearchJSTOR’s Data for Research**   includes biomedical resources as well as other academic disciplines.

The resource consists of a set of web-based tools, including:

  • a powerful faceted search interface that can be leveraged to define content of interest through an iterative process of searching and results filtering
  • word frequencies, citations, key terms, and ngrams utilized for conducting analysis of document-level data
  • topic modeling (classification of subject headings at the article level), a powerful tool for content selection and filtering
  • downloadable datasets containing word frequencies, citations, key terms, or ngrams associated with the content selected
  • visualization tools

Looking for other health related datasets and visualization resources?
Check out  the UT Libguide Locating Health Statistics, including the Data Visualization page.


**Data for Research is a bit challenging to find at the JSTOR Web site
Here is one way to locate it


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Neuronline – A website for neurscientists and anyone interested in practicalities of academia and the sciences


This publication from the Society for Neuroscience may be targeted at those in neuroscience and related fields, but anyone with an interest in the practicalities of academia and the sciences will find parallels to their own interests and preoccupations. For example, posts in the Diversity section (Explore by Topic) include such articles as “Mentors: Here’s How You Can Encourage Women to Stay in Science” and “On Speaking Up: Why Your Voice is Needed to Increase Women in Neuroscience.” Site content has been organized into Categories, such as Career Advice, Professional Development, Scientific Research, and Outreach, so that staying on top of relevant issues is easy. The Scientific Research category, in particular, holds many interesting wonders, such as “Why is the Size of an Object Unchanged Regardless of Changes in Viewing Distance?” and “The Drowsy Effect of Sugar.” The site may also be Explored by Audience, including Undergraduate, Graduate Student, Postdoctoral Fellow and Trainee, Early Career, Mid-Career, Advanced Career, and others. [CNH]

Copyright © 2013 Internet Scout Research Group –

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Advancing the Science of Collecting and Reporting Patient Narratives [AHRQ article]

From the AHRQ Electronic Newsletter, March 15, 2016



Advancing the Science of Collecting and Reporting Patient Narratives

Two new publications from AHRQ’s Consumer Assessment of Healthcare Providers and Systems (CAHPS®) program summarize ongoing efforts to develop strategies for eliciting and reporting patient narratives. The summaries provide details on efforts to develop and test a standardized protocol for collecting provider and consumer patient narratives that can be added to the CAHPS Clinician & Group Survey. Various approaches to publishing patient narratives in a comparative quality report for consumers are also being explored. Read new summaries of this work:

Articles about this research have been published in the New England Journal of Medicine, Medical Care, Medical Care Research and Review, and Health Services Research. Learn more about the CAHPS team’s research on consumer reporting. Find more summaries of CAHPS projects.

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AHRQ Releases Quality Improvement Learning Modules for Clinicians To Earn Board-Specific Recertification [AHRQ newsletter item]

From  the AHRQ ( US Agency for Health Care Research and Quality) Electronic Newsletter, March 15, 2016

AHRQ Releases Quality Improvement Learning Modules for Clinicians To Earn Board-Specific Recertification

New practice improvement tools from AHRQ are available to help physicians, physician assistants and nurse practitioners obtain certification in their fields, including the Maintenance of Certification (MOC) Part IV, the physician assistant performance improvement-continuing medical education credits, and continuing education credits. The Health Assessment Recertification Project for Diversely Trained Clinicians (MOC Part IV & PA-QI) streamlines the MOC documentation process while offering user-friendly printable data collection forms and electronic entry options to help clinicians efficiently complete and submit data collection requirements.

From the Health Assessment Module User Guide : Reducing Barriers to Quality Assurance in Primary Care via Maintenance of Certification Modules

“This Health Assessment activity is an interactive PDF document designed to be downloaded and completed from your desktop. There is no cost to download, use, or copy this document, although youwill be responsible for any fees required by the certifying Board in order to receive credit for completing this MOC Part IV improvement activity.SpecificBoard requirementsaredetailed in the “Instructions and Requirements” section of this guide. Clinicians may work on this module as a group (more information is
av ailable atOpportunities for Integrating MOC Part IV Requirements into Practices guide) or independently; all work must be submitted to accrediting boards independently, as detailed in the “Board Requirements” section..”

April 28, 2:30 – 3:30 pm ET, “Part 1: Prepared Clinicians Confer on Strategies to Complete Health Assessments MOC IV and CME QI (for PAs)”

AHRQ’s easy-to-complete recertification project, “Health Assessments: A Primary Care Practice Improvement Activity,” fosters clinicians’ capacity to document health assessments—such as the wellness assessment—in patients’ medical records  (paper or electronic). In an effort to assist clinicians (Physicians for MOC Part IV credit and CME QI for PAs) transition from individual quality improvement recertification exercises into sustainable quality improvement enterprise, AHRQ and CDN are hosting a two-part virtual classroom for this project. This free clinician-led, Web-based meeting (in live and subsequently recorded format), offers diversified clinicians an opportunity to discuss THEIR strategies and findings. Select to register Link to Exit Disclaimer.
Before April 28th Webinar, clinicians should have conducted initial steps (about 60-90 minutes)…..

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Free mobilePDR® App – Apple and Android options

mobilePDR® is the official drug information app from PDR. The search tool, according to the Web site, provides access to thousands of drug summaries continually updated by PDR. It is free for all US healthcare professionals. Registration required. It can be installed on either Apple or Android devices.


More information may be found at the mobilePDR® site.

An FYI for those with privacy concerns.  (Legitmate apps will include privacy policies) The privacy policy includes the following

  • Your email address, fax number or mobile phone number may be used to send and administer Drug and Device Alert services, FDA-approved drug labeling information, and other clinically-relevant PDR services
  • PDR uses a variety of sources to keep our physician e-mail list up to date, including fielding physician surveys, establishing alliances with medical societies, conducting recruiting events and licensing from third parties which are authorized to license such emails. When you join the PDR professional community through any of these means, we collect contact information (such as name, office address, office phone and fax numbers, mobile phone numbers and e-mail address), and other personal information (such as information about your professional background, licensure, practice, and areas of specialization) as well as any other personal information that you choose to provide us.
  • We may collect additional information about you from third party sources in order to assist us in providing our products and services, and we may combine them with the information that we collect directly from you or our interactions with you. For example, if you are a physician, we will compare your name, medical school and other information with the American Medical Association database to help verify the accuracy of our subscriber database.
  • PDR, acting on its own or with third parties, provides highly targeted interactive content and opportunities for healthcare providers to participate in market research studies and industry-sponsored or client-sponsored programs.



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Misleading p-values showing up more often in biomedical journal articles, study finds [news release]

From the 15 March 2016 Stanford Medicine News Center article

“A review of p-values in the biomedical literature from 1990 to 2015 [JAMA, March 15, 2016, p. 1141-8]  shows that these widely misunderstood statistics are being used increasingly, instead of better metrics of effect size or uncertainty.

A study of millions of journal articles shows that their authors are increasingly reporting p-values but are often doing so in a misleading way, according to a study by researchers at the Stanford University School of Medicine. P-values are a measure of statistical significance intended to inform scientific conclusions.

Because p-values are so often misapplied, their increased use probably doesn’t indicate


an improvement in the way biomedical research is conducted or the way data are analyzed, the researchers found

“It’s usually a suboptimal technique, and then it’s used in a biased way, so it can become very misleading,” said John Ioannidis, MD, DSc, professor of disease prevention and of health research and policy and co-director of the Meta-Research Innovation Center at Stanford.

The study was published March 15 in JAMA. Ioannidis is the senior author. The lead author is David Chavalarias, PhD, director of the Complex Systems Institute in France.”

Some additional excerpts

  • The team found that 96 percent of abstracts with p-values had at least one such “statistically significant” p-value.
    “That suggests there’s selective pressure favoring more extreme results. The fact that you have so many significant results is completely unrealistic. It’s impossible that 96 percent of all the hypotheses being tested would be significant,” said Ioannidis.
  • The authors suggested that rather than reporting isolated P values, research articles should focus more on reporting effect sizes (eg, absolute and relative risks) and uncertainty metrics (eg, confidence intervals for the effect estimates).
  • Ioannidis advocates more stringent approaches to analyzing data. “The way to move forward,” he said, “is that p-values need to be used more selectively. When used, they need to be complemented by effect sizes and uncertainty [confidence intervals]. And it would often be a good idea to use a Bayesian approach or a false-discovery rate to answer the question, ‘How likely is this result to be true?’”
  • P-values are a suboptimal technique, and they often are used in a biased, misleading way, he said. “Across the entire literature, the statistical approaches used are often suboptimal. P-values are potentially very misleading, and they are selectively reported in favor of more significant results, especially in the abstracts. And authors underuse metrics that would be more meaningful and more useful to have — effect sizes, confidence intervals and other metrics that can add value in understanding what the results mean.”



Read the entire article here–>


Related Resources

Reviews & More


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