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iMPACT3: Internet-Based Development and Administration of Utility Elicitation Protocols

Author

Listed:
  • L. A. Lenert

    (Veterans Administration Healthcare System, San Diego, CA, Department of Medicine, University of California, San Diego, La Jolla, CA, Veterans Medical Research Foundation of San Diego, San Diego, CA)

  • A. Sturley

    (Veterans Medical Research Foundation of San Diego, San Diego, CA)

  • M. E. Watson

    (Global Health Outcomes, GlaxoSmithKline, Research Triangle Park, NC)

Abstract

iMPACT3 (Internet Multimedia Preference Assessment Instrument Construction Tool, version 3) is a software development environment that helps researchers build Internet-capable multimedia utility elicitation software programs. The program is a free, openly accessible Web site (http://preferences.ucsd.edu/impact3/asp). To develop a utility elicitation software program using iMPACT3, a researcher selects modular protocol components from a library and custom tailors the components to the details of his or her research protocol. iMPACT3 builds a Web site implementing the protocol and downloads it to the researcher’s computer. In a study of 75 HIV-infected patients, an iMPACT3-generated protocol showed substantial evidence of construct validity and good internal consistency (logic error rates of 4% to 10% and procedural invariance error rates of 10% to 26%, depending on the elicitation method) but only fair 3- to 6-week test-retest reliability (intraclass correlation coefficient = 0.42 to 0.55). Further work may be needed on specific utility assessment procedures, but this study’s results confirm iMPACT3’s feasibility in facilitating the collection of health state utility data.

Suggested Citation

  • L. A. Lenert & A. Sturley & M. E. Watson, 2002. "iMPACT3: Internet-Based Development and Administration of Utility Elicitation Protocols," Medical Decision Making, , vol. 22(6), pages 464-474, December.
  • Handle: RePEc:sae:medema:v:22:y:2002:i:6:p:464-474
    DOI: 10.1177/0272989X02238296
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    Citations

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    Cited by:

    1. Eve Wittenberg & Lisa Prosser, 2011. "Ordering errors, objections and invariance in utility survey responses," Applied Health Economics and Health Policy, Springer, vol. 9(4), pages 225-241, July.
    2. Neal V. Dawson & Mendel E. Singer & Leslie Lenert & Marian B. Patterson & Susie A. Sami & Iahn Gonsenhouser & Heather A. Lindstrom & Kathleen A. Smyth & Melissa J. Barber & Peter J. Whitehouse, 2008. "Health State Valuation in Mild to Moderate Cognitive Impairment: Feasibility of Computer-Based, Direct Patient Utility Assessment," Medical Decision Making, , vol. 28(2), pages 220-232, March.
    3. Brent Opmeer & Corianne Borgie & Ben Mol & Patrick Bossuyt, 2010. "Assessing Preferences Regarding Healthcare Interventions that Involve Non-Health Outcomes," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 3(1), pages 1-10, March.

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