Quality-of-Life Weights for the US Population: Self-Reported Health Status and Priority Health Conditions, by Demographic Characteristics

Details

• Personal Author:
  Barleen NA ; Coons SJ ; Dowd BE ; Nyman JA ; Russell DW ; Sullivan PW
• Description:
  BACKGROUND: Many of the large ongoing national surveys of the US population contain a question that asks for the respondent's self-reported health status: "excellent," "very good," "good," "fair," or "poor." These surveys could be used to conduct cost-utility analyses of health care policies, treatments or other interventions if quality-of-life (QOL) weights for the self-reported health statuses were also available. OBJECTIVE: The objective of this study was to produce nationally representative QOL weights for self-reported health status and for 10 "priority" health conditions, by a series of demographic variables. RESEARCH DESIGN: The Medical Expenditure Panel Survey contains the questions from the EQ-5D health status measure. A recent study has calculated time-trade-off-derived QOL weights corresponding to the EQ-5D health states for a large sample of Americans. We use these data to construct QOL weights for the 5 self-reported health status categories and 10 priority health conditions, by a series of demographic variables. RESULTS: Mean and median QOL weights were produced for self-reported health status, the 10 priority health conditions, and the demographic variables. We also report mean QOL weights for the self-reported health state and priority health conditions, by the demographic variables. Finally, ordinary least squares and censored least absolute deviation regression equations were used to estimate adjusted QOL weights for these variables. CONCLUSIONS: By providing nationally representative QOL weights for self-reported health status and 10 priority health conditions, by demographic variable, we have facilitated the use of large national surveys for conducting cost-utility analysis and increased their value to researchers and policy makers. [Description provided by NIOSH]
• Subjects:
  Delivery Of Health Care Demography Environmental Health Environmental Monitoring Epidemiology Health Care Facilities Workforce And Services Occupational Health Risk Assessment Risk Factors Safety Surveys And Questionnaires

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• Keywords:
  Author Keywords: Quality-of-life Cost-effectiveness Analysis Cost-utility Analysis Demographic-characteristics Economic Evaluation Environmental-factors Exposure-assessment Exposure-levels Exposure-methods Health-standards Health-surveys Mathematical-models Medical-care Medical-services Medical-surveys Preference Weights Qualitative-analysis Quantitative-analysis Questionnaires Risk-analysis Risk-factors Standards Statistical-analysis Surveillance-programs

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• ISSN:
  0025-707
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Arizona ; Colorado ; Iowa ; Minnesota ; OSHA Region 5 ; OSHA Region 7 ; OSHA Region 8 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  45
• Issue:
  7
• NIOSHTIC Number:
  nn:20037550
• Citation:
  Med Care 2007 Jul; 45(7):618-628
• Contact Point Address:
  John A. Nyman, PhD, Division of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware St. SE, Box 729, Minneapolis, MN 55455-0392
• Email:
  nyman001@umn.edu
• Federal Fiscal Year:
  2007
• Performing Organization:
  University of Minnesota Twin Cities
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Medical Care
• End Date:
  20250630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:3f25fa0d6fa1108f4f51ef4eb5ae9c8ef1549267df0ff39476947aaf3ec31bbe63f1ee8003c2d9e5e6b3ac6d127c9b5635ec3762270d4d5024f00dd089b1b895
• Download URL:
  https://stacks.cdc.gov/view/cdc/188627/cdc_188627_DS1.pdf
• File Type:
  [PDF - 382.59 KB ]