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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

We are pleased to announce that we are ready to begin accepting registrations and abstract submissions for the fifth HINTS Data Users Conference, sponsored by The National Cancer Institute. Please join us as we present and discuss research using Health Information National Trends Survey (HINTS) data and highlight the role of HINTS research in public health and clinical care.

Registration

Registering for the conference is free, but space is limited. Register Now.

Abstract Submission

Showcase your HINTS research at this year’s conference! Please visit the Conference website for more information and to see a description of the various conference tracks. The abstract submission deadline is April 6, 2018. Submit an Abstract.

Conference Logistics

Title: 15 Years of HINTS: Data Today for Better Health Tomorrow

When: September 13–14, 2018
9 AM–6 PM

Where: Natcher Conference Center
National Institutes of Health Campus
Bethesda, MD

Hotel Accommodations: A limited block of sleeping rooms for meeting participants has been reserved at the Hilton Garden Inn Washington, D.C./Bethesda. Visit the conference website for more information and to book you room.

Conference Website: https://www.scgcorp.com/HINTSConference2018/

Program Chairs: Bradford Hesse & Robin Vanderpool


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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.