Catalog of Holdings

Study Report

Study Number: QG-074-001-1-2-United States-DISC-2005

Subject Area: Medical and Health

Bibliographic Citation: NHMS, 2005-2006.  [machine-readable data file] / Fryback, Dennis G.  [principal investigator(s)] / Data and Information Services Center, University of Wisconsin-Madison  [distributor].

Originating Archive Number: NHMS

Date Accessioned: 6/25/2009

Number of Files Received: 7

Comments: This release replaces the August 2008 version which has incorrect values for variables: QWBSCORE, BMI and BMICAT. Those errors are now corrected. Document files are updated accordingly. Data is in SAS format. Users need to use the file to create a catalog for publicdata08july.sas7bdat. It has 465 variables and 3,844 cases. 10/08 DISC staff created a SAS catalog file for this study. Users can also register and download this study from DISC Online Archive. To learn more about health measures research, visit the Health Measurement Research Group site. This study is also available from BADGIR catalog. 6/09 DISC internal note: all NHMS files including working files are stored in an archival CD-Rom. A backup copy was made. They are in the study PDR folder.

Access Status: Unrestricted access

Date Ordered: 5/20/2009

Documentation: Five PDF document files: Dataset overview-final.pdf, NHMS Weights documentation-final.pdf, NHMS codebook-final.pdf, NHMS Summary of Computed Variables-final.pdf and NHMS CATI Script-final public version.pdf

Abstract: The National Health Measurement Study (NHMS) surveyed older US adults with a suite of health-related quality-of-life (HRQoL) indexes to allow comparison and cross-calibration of these instruments. The design oversampled African Americans and older individuals (ages 65+) to allow subgroup analyses.

Several preference-weighted indexes measuring self-reported generic HRQoL are used widely in population surveys and clinical studies in the U.S. and around the world. These indexes are used to evaluate individual and population health. Because they have been developed using econometric methods to elicit utility weights for their scoring systems they are generally accepted for use in cost-effectiveness analyses of health interventions. Each index uses a multidimensional representation of health, but each index covers the dimensions of health (e.g., physical function, mental function, social function, pain, other symptoms, etc.) differently and they use questionnaires with different psychometric properties. Each index is scored so that perfect health is represented as 1.0 and dead is represented as 0.0, but they are known to have different scaling properties. Rarely have two or more of these instruments been included in a population survey. So there are few opportunities to directly compare how they describe and measure health using multi-instrument data.

In 2005-06, US adults aged 35-89 were contacted by the National Health Measurement Study (NHMS) staff using random digit dialed telephone survey methods. Computer-assisted interviewers at the UW Survey Center administered the EuroQol EQ-5D, Health Utilities Index, SF-36v2TM, and QWB-SA questionnaires in random order to every respondent. Respondents are characterized by census region of residence, age, gender, marital status, race, ethnicity, education, household income and assets, health insurance, weight, height, smoking status, psychological well-being scales, and everyday and lifetime discrimination items. Respondents indicated whether they had been diagnosed with coronary heart disease, stroke, diabetes, arthritis, eye disease, sleep disorder, chronic respiratory disease, clinical depression or anxiety disorder, gastrointestinal ulcer, thyroid disorder, and/or severe chronic back pain. Census tract is not identified however race composition, education levels, economic factors, and urbanicity of each respondentís census tract of residence are included as contextual variables.

Media/File Reports:

7392 (CD-Rom)
7393 (CD-Rom)
9002 (USB Flask Drive)
9003 (USB Flask Drive)
9004 (SSCC network drive)