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.
- You will not present/publish data in which an individual can be identified. Publication
of small cell sizes should be avoided.
- You will not attempt to link nor permit others to link the data with individually
identified records in another database.
- You will not attempt to learn the identity of any person whose data are contained
in the supplied file(s).
- If the identity of any person is discovered inadvertently, then the following should
- no use will be made of this knowledge,
- the HINTS Program staff will be notified of the incident,
- no one else will be informed of the discovered identity.
- 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.
- 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.
- 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.
- 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.
- 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.
- You may receive periodic e-mail updates from the HINTS administrators.