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The online version of this article (doi:10.1007/s11136-016-1269-7) contains supplementary material, which is available to authorized users.
To evaluate a general question about ability to meet monthly bills as an alternative to direct questions about income and assets in health utility studies.
We used data from the National Health Measurement Study—a US nationally representative telephone survey collected in 2005–2006. It included health utility measures (EuroQol-5D-3L, Health Utilities Index Mark 3, Short Form-6D, and Quality of Well-being Index) and household income, assets, and financial ability to meet monthly bills questions. Each utility score was regressed on: income and assets (Model 1); difficulty paying bills (DPB) (Model 2); income, assets, and DPB (Model 3). All models used survey weights and adjusted for demographics and education.
Among 3666 respondents, as income and assets increased, DPB decreased. The DPB question had fewer missing values (n = 30) than income (n = 311) or assets (n = 373). Model 2 (DPB only) explained more variance in health utility than Model 1 (income and assets only). Including all measures (Model 3) had very modest improvement in R 2, e.g., values were 0.112 (Model 1), 0.166 (Model 2), and 0.175 (Model 3) for EuroQol-5D-3L.
The single question on DPB yields more information and has less missing values than the traditionally used income and assets questions.
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Supplementary material 1 (DOCX 29 kb)11136_2016_1269_MOESM1_ESM.docx
Robert, S. A., Cherepanov, D., Palta, M., Dunham, N. C., Feeny, D., & Fryback, D. G. (2009). Socioeconomic status and age variations in health-related quality of life: Results from the national health measurement study. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 64(3), 378–389. CrossRef
Cherepanov, D., Palta, M., Fryback, D. G., & Robert, S. A. (2010) Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: Evidence from four US nationally representative data sets. Quality of Life Research, 19(8), pp. 1115–11124. Erratum in: Quality of Life Research (2010), 19(8), pp. 1125. PubMed PMID: 20496168.
Moore, J. C., Stinson, L. L., Welniak, E. J. (1999) Income reporting in surveys: Cognitive issues and measurement error. In M. G. Sirken, D. J. Herrmann, S. Schechter, N. Schwarz, J. M. Tanur, R. Tourangeau (Eds.) Cognition and Survey Measurement (pp. 155–174), Wiley: NY. https://www.census.gov/srd/papers/pdf/sm97-05.pdf. Accessed 19 July 2015.
Moore, J. C., Stinson, L. L., & Welniak, E. J. (2000). Income measurement error in surveys: A review. Journal of Official Statistics, 16, 331–361.
Locander, W. B., & Burton, J. P. (1976). The effect of question form on gathering income data by telephone. Journal of Marketing Research, 13(2), 189–192. CrossRef
Shih, W. P. (1983) Nonresponses to Income Questions in Telephone Surveys. In Proceedings of the Survey Research Methods Section, American Statistical Association (p. 283).
Clemens, T., & Dibben, C. (2014). A method for estimating wage, using standardized occupational classifications, for use in medical research in the place of self-reported income. BMC Medical Research Methodology, 28(14), 59. CrossRef
Kaplan, R. M., Sieber, W. J., & Ganiats, T. G. (1997). The Quality of Well-being Scale: Comparison of the interviewer administered version with a self-administered questionnaire. Psychology & Health, 12, 783–791. CrossRef
Ellison, C. G., Boardman, J. D., Williams, D. R., & Jackson, J. S. (2001). Religious involvement, stress, and mental health: Findings from the 1995 Detroit Area Study. Social Forces, 80(1), 215–249. CrossRef
Hanmer, J., Cherepanov, D., Palta, M., Kaplan, R. M., Feeny, D., Fryback, D. G. Health Condition Impacts in a National Representative Cross-Sectional Survey Vary Substantially by Preference-Based Health Index. In press at medical decision making.
- A single question about a respondent’s perceived financial ability to pay monthly bills explains more variance in health utility scores than absolute income and assets questions
- Springer International Publishing