STAT!Ref Evidence Alerts

The STAT!Ref Evidence Alerts system provides e-mail delivery and access to evidence-based medicine (EBM) information from current research of over 130 premier clinical journals. The STAT!Ref Evidence Alerts system works with McMaster University (McMaster PLUS) delivering pre-rated EBM alerts that are qualified, then rated for clinical relevance and newsworthiness by a panel of practicing physicians.

STAT!Ref Evidence Alerts offer a range of healthcare disciplines that can be chosen delivering relevant and meaningful EBM information focused on your healthcare interests, helping with your clinical decisions.

• Pick your areas of interest: Receive customized EBM e-mail alerts catered to your healthcare interests
• Time-saving flexibility: No longer scan numerous clinical journals to find the information you need. Receive relevant EBM information fast
• Daily notifications: Get daily e-mail notifications of important new research about the diagnosis, treatment, prognosis, etiology and economics of medical conditions
• Free service: If your institution subscribes to STAT!Ref you have the ability to receive STAT!Ref Evidence Alerts
• Archived EBM information: Review past STAT!Ref Evidence Alerts to always have your healthcare interests at your fingertips

In order to register for STAT!Ref Evidence Alerts, you must be a subscriber or user and you must create a My STAT!Ref “Preferences” account.

• Log in to STAT!Ref
• Go to “Preferences” and log in or sign up.
• If your institution has Preferences turned off, please talk to your librarian.
• After logging into Preferences, click the STAT!Ref Evidence Alerts link on the Preferences options menu to open the STAT!Ref Evidence Alerts page where you can register your alerts Profile and select your areas of interest in medicine, nursing and rehab.

The information contained in STAT!Ref Evidence Alerts, which is provided through McMaster Premium Literature Service (PLUS), is intended for healthcare professionals and is provided on an "as is" basis without warranty of any kind, express or implied.

STAT!Ref Evidence Alerts provides an educational service for practicing clinicians and providers, designed to alert them to important new research; however, we cannot warrant its accuracy. It is intended to support evidence-based decision making, by providing links to published research reports about the diagnosis, treatment, prediction and prognosis, etiology and economics of medical conditions. However, "evidence does not make decisions," and clinicians making decisions about the care of their patients must take into account the limitations of evidence from research as well as the unique nature of their patients' circumstances and wishes. Readers should also be aware that professionals in the field may have different opinions about the interpretation of evidence from research. Because of this fact and also because of regular advances in medical research, we strongly recommend that readers independently verify any information they choose to rely on. Ultimately it is the readers' responsibility to make their own professional judgments.

STAT!Ref Evidence Alerts attempts to provide access to the best new research of relevance for clinical practice and academic research in a variety of healthcare fields and subspecialties. It does not report all research but uses explicit criteria to define a subset of published research that is likely to be valid and ready for clinical attention in these disciplines. Practicing physicians then provide their assessments of the relevance and newsworthiness of the reports through an online review process, the McMaster Online Rating of Evidence (MORE). Individual clinicians who then receive these reviews must then apply their own judgment concerning the strength and applicability of this evidence to their own patients.

Description or reference to a product or publication does not imply endorsement of that product or publication, unless that product or publication is owned or delivered directly by Teton Data Systems or McMaster University.

To the fullest extent permitted by law, Teton Data Systems, the makers of STAT!Ref, and McMaster University are not responsible for any losses, injury or damage caused to any person or property (including under contract, by negligence, products liability or otherwise) whether they be direct or indirect, special, incidental or consequential, resulting from the application of the information on STAT!Ref Evidence Alerts.