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Health Information National Trends Survey®
Part of NCI's Division of Cancer Control and Population Sciences

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A decade of HINTS. Quantifying the Health Information Revolution through Data Innovation and Collaboration

Health Information National Trends Survey (HINTS) Users Meeting
January 9-10, 2014 | Rockville, Maryland

Sponsored by the National Cancer Institute (NCI), the meeting will focus on research using HINTS data and the application of HINTS research to public health and clinical care.

Welcome to the 2014 HINTS Users Meeting Home Page

Since it began in 2003, the HINTS program has been tracking vital statistics related to the public’s attitudes, knowledge, and behaviors related to cancer prevention and control (such as screening, physical activity, and health literacy, with an emphasis on information technology and consumer health informatics). With data and results from six HINTS survey administrations--including HINTS Puerto Rico--over the course of a decade (and additional data to come) we will have a lot to talk about!

The meeting will have something for everyone – if you are a researcher who uses HINTS data (or who wants to learn how), you’ll want to see the presentations of cutting-edge research on the evolving health information environment; special populations; and data integration. For our colleagues who use HINTS to inform clinical practice, public health activities, or communication strategies, meeting activities will also spotlight how HINTS research can be leveraged to improve practice. Take a moment to view our agenda to learn more about what else we have planned (data “blitzes,” a video contest, and a series of Bold Ideas presentations).

We look forward to seeing you in January! If you have any questions or if we can be of help as you plan your trip, please feel free to contact us at


Richard Moser's Photo
Signature of Richard Moser
Richard Moser, PhD
Conference Co-Chair
National Cancer Institute
Ellen Beckjord's Photo
Signature of Ellen Beckjord
Ellen Beckjord, PhD, MPH
Conference Co-Chair
University of Pittsburgh



HINTS Data Terms of Use

It is of utmost importance to ensure the confidentiality of survey participants. Every effort has been made to exclude identifying information on individual respondents from the computer files. Some demographic information such as sex, race, etc., has been included for research purposes. NCI expects that users of the data set will adhere to the strictest standards of ethical conduct for the analysis and reporting of nationally collected survey data. It is mandatory that all research results be presented/published in a manner that protects the integrity of the data and ensures the confidentiality of participants.

In order for the Health Information National Trends Survey (HINTS) to provide a public-use or another version of data to you, it is necessary that you agree to the following provisions.

  1. You will not present/publish data in which an individual can be identified. Publication of small cell sizes should be avoided.
  2. You will not attempt to link nor permit others to link the data with individually identified records in another database.
  3. You will not attempt to learn the identity of any person whose data are contained in the supplied file(s).
  4. If the identity of any person is discovered inadvertently, then the following should be done;
    1. no use will be made of this knowledge,
    2. the HINTS Program staff will be notified of the incident,
    3. no one else will be informed of the discovered identity.
  5. You will not release nor permit others to release the data in full or in part to any person except with the written approval of the HINTS Program staff.
  6. If accessing the data from a centralized location on a time sharing computer system or LAN, you will not share your logon name and password with any other individuals. You will also not allow any other individuals to use your computer account after you have logged on with your logon name and password.
  7. For all software provided by the HINTS Program, you will not copy, distribute, reverse engineer, profit from its sale or use, or incorporate it in any other software system.
  8. The source of information should be cited in all publications. The appropriate citation is associated with the data file used. Please see Suggested Citations in the Download HINTS Data section of this Web site, or the Readme.txt associated with the ASCII text version of the HINTS data.
  9. Analyses of large HINTS domains usually produce reliable estimates, but analyses of small domains may yield unreliable estimates, as indicated by their large variances. The analyst should pay particular attention to the standard error and coefficient of variation (relative standard error) for estimates of means, proportions, and totals, and the analyst should report these when writing up results. It is important that the analyst realizes that small sample sizes for particular analyses will tend to result in unstable estimates.
  10. You may receive periodic e-mail updates from the HINTS administrators.