Evaluation Studies
Journal Article
Research Support, N.I.H., Extramural
Add like
Add dislike
Add to saved papers

Representativeness of the Patient-Reported Outcomes Measurement Information System Internet panel.

OBJECTIVES: To evaluate the Patient-Reported Outcomes Measurement Information System (PROMIS), which collected data from an Internet polling panel, and to compare PROMIS with national norms.

STUDY DESIGN AND SETTING: We compared demographics and self-rated health of the PROMIS general Internet sample (N=11,796) and one of its subsamples (n=2,196) selected to approximate the joint distribution of demographics from the 2000 U.S. Census, with three national surveys and U.S. Census data. The comparisons were conducted using equivalence testing with weights created for PROMIS by raking.

RESULTS: The weighted PROMIS population and subsample had similar demographics compared with the 2000 U.S. Census, except that the subsample had a higher percentage of people with higher education than high school. Equivalence testing shows similarity between PROMIS general population and national norms with regard to body mass index, EQ-5D health index (EuroQol group defined descriptive system of health-related quality of life states consisting of five dimensions including mobility, self-care, usual activities, pain/discomfort, anxiety/depression), and self-rating of general health.

CONCLUSION: Self-rated health of the PROMIS general population is similar to that of existing samples from the general U.S. population. The weighted PROMIS general population is more comparable to national norms than the unweighted population with regard to subject characteristics. The findings suggest that the representativeness of the Internet data is comparable to those from probability-based general population samples.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app