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

The Fifth HINTS Data Users Conference

The fifth HINTS Data Users Conference will take place on May 22-23, 2019 at the DoubleTree Hotel in Bethesda, Maryland. The conference is an excellent opportunity to learn more about research being conducted using Health Information National Trends Survey (HINTS) data, as well as the role of HINTS research in public health and clinical care. Register now to reserve your spot at the conference.


Registering is free, but space is limited. Register Now.

Late-Breaking Abstract Submission

There is still an opportunity to showcase your research at this year’s conference! We are accepting late-breaking poster abstracts until March 29, 2019.

Please visit the abstract submission section of the conference website for more information and to see a description of the various conference tracks.

Conference Logistics

Title: 15 Years of HINTS: Lessons Learned & Future Directions

When: May 22-23, 2019
9 AM–6 PM

Where: DoubleTree Hotel
8120 Wisconsin Avenue
Bethesda, MD 20814

Hotel Accommodations: A limited block of sleeping rooms for meeting participants has been reserved at the DoubleTree Hotel in Bethesda, MD. Visit the conference website for more information and to book your room.

Conference Website:

Program Chairs: Bradford Hesse & Robin Vanderpool


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.